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https://api.github.com/repos/huggingface/datasets/issues/2145 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2145/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2145/comments | https://api.github.com/repos/huggingface/datasets/issues/2145/events | https://github.com/huggingface/datasets/pull/2145 | 844,603,518 | MDExOlB1bGxSZXF1ZXN0NjAzODMxOTE2 | 2,145 | Implement Dataset add_column | {
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"#2274 has been merged. You can now merge master into this branch and use `assert_arrow_metadata_are_synced_with_dataset_features(dset)` to make sure that the metadata are good :)"
] | 2021-03-30T14:02:14Z | 2021-04-29T14:50:44Z | 2021-04-29T14:50:43Z | MEMBER | null | null | null | null | Implement `Dataset.add_column`.
Close #1954. | {
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https://api.github.com/repos/huggingface/datasets/issues/2144 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2144/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2144/comments | https://api.github.com/repos/huggingface/datasets/issues/2144/events | https://github.com/huggingface/datasets/issues/2144 | 844,352,067 | MDU6SXNzdWU4NDQzNTIwNjc= | 2,144 | Loading wikipedia 20200501.en throws pyarrow related error | {
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"That's how I loaded the dataset\r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset('wikipedia', '20200501.en', cache_dir='/usr/local/workspace/NAS_NLP/cache')\r\n```",
"Hi ! It looks like the arrow file in the folder\r\n`/usr/local/workspace/NAS_NLP/cache/wikipedia/20200501.en/1.0.0/50aa706aa... | 2021-03-30T10:38:31Z | 2021-04-01T09:21:17Z | null | NONE | null | null | {
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} | **Problem description**
I am getting the following error when trying to load wikipedia/20200501.en dataset.
**Error log**
Downloading and preparing dataset wikipedia/20200501.en (download: 16.99 GiB, generated: 17.07 GiB, post-processed: Unknown size, total: 34.06 GiB) to /usr/local/workspace/NAS_NLP/cache/wikiped... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2143/comments | https://api.github.com/repos/huggingface/datasets/issues/2143/events | https://github.com/huggingface/datasets/pull/2143 | 844,313,228 | MDExOlB1bGxSZXF1ZXN0NjAzNTc0NjI0 | 2,143 | task casting via load_dataset | {
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not satisfied with the API, it means as a dataset implementer I need to write a function with boilerplate and write classes for each `<dataset><task>` "facet". | {
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https://api.github.com/repos/huggingface/datasets/issues/2142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2142/comments | https://api.github.com/repos/huggingface/datasets/issues/2142/events | https://github.com/huggingface/datasets/pull/2142 | 843,919,420 | MDExOlB1bGxSZXF1ZXN0NjAzMjQwMzUy | 2,142 | Gem V1.1 | {
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- challenge sets for most tasks
- detokenized TurkCorpus to match the rest of the text simplification subtasks
- fixed inputs for TurkCorpus and ASSET test sets
- 18 languages in WikiLingua
cc @sebastianGehrmann | {
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https://api.github.com/repos/huggingface/datasets/issues/2141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2141/comments | https://api.github.com/repos/huggingface/datasets/issues/2141/events | https://github.com/huggingface/datasets/pull/2141 | 843,914,790 | MDExOlB1bGxSZXF1ZXN0NjAzMjM2MjUw | 2,141 | added spans field for the wikiann datasets | {
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"Hi @lhoestq \r\nThanks a lot for taking time checking it. I update \"dataset_infos.json\", I added description to the function of _generate_samples in wikiann.py but I was not sure about the format to write in README. thanks. ",
"Thanks !\r\n\r\nFor the fields description in the dataset card, something like thi... | 2021-03-29T23:38:26Z | 2021-03-31T13:27:50Z | 2021-03-31T13:27:50Z | CONTRIBUTOR | null | null | null | null | Hi @lhoestq
I tried to add spans to the wikiann datasets.
Thanks a lot for kindly having a look.
This addresses https://github.com/huggingface/datasets/issues/2130.
Best regards
Rabeeh | {
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https://api.github.com/repos/huggingface/datasets/issues/2140 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2140/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2140/comments | https://api.github.com/repos/huggingface/datasets/issues/2140/events | https://github.com/huggingface/datasets/pull/2140 | 843,830,451 | MDExOlB1bGxSZXF1ZXN0NjAzMTYxMjYx | 2,140 | add banking77 dataset | {
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"@lhoestq I updated files"
] | 2021-03-29T21:32:23Z | 2021-04-09T09:32:18Z | 2021-04-09T09:32:18Z | CONTRIBUTOR | null | null | null | null | Intent classification/detection dataset from banking category with 77 unique intents. | {
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https://api.github.com/repos/huggingface/datasets/issues/2139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2139/comments | https://api.github.com/repos/huggingface/datasets/issues/2139/events | https://github.com/huggingface/datasets/issues/2139 | 843,662,613 | MDU6SXNzdWU4NDM2NjI2MTM= | 2,139 | TypeError when using save_to_disk in a dataset loaded with ReadInstruction split | {
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"Hi !\r\nI think this has been fixed recently on `master`.\r\nCan you try again by installing `datasets` from `master` ?\r\n```\r\npip install git+https://github.com/huggingface/datasets.git\r\n```",
"Hi!\r\n\r\nUsing that version of the code solves the issue. Thanks!"
] | 2021-03-29T18:23:54Z | 2021-03-30T09:12:53Z | 2021-03-30T09:12:53Z | NONE | null | null | {
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Loading a dataset with `load_dataset` using a split defined via `ReadInstruction` and then saving it to disk results in the following error: `TypeError: Object of type ReadInstruction is not JSON serializable`.
Here is the minimal reproducible example:
```python
from datasets import load_dataset
from dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/2138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2138/comments | https://api.github.com/repos/huggingface/datasets/issues/2138/events | https://github.com/huggingface/datasets/pull/2138 | 843,508,402 | MDExOlB1bGxSZXF1ZXN0NjAyODc4NzU2 | 2,138 | Add CER metric | {
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```python
from cer import CER
cer = CER()
class TestCER(unittest.TestCase):
def test_cer_case_senstive(self)... | {
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https://api.github.com/repos/huggingface/datasets/issues/2137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2137/comments | https://api.github.com/repos/huggingface/datasets/issues/2137/events | https://github.com/huggingface/datasets/pull/2137 | 843,502,835 | MDExOlB1bGxSZXF1ZXN0NjAyODc0MDYw | 2,137 | Fix missing infos from concurrent dataset loading | {
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When calling `load_dataset` at the same time from 2 workers, one of the worker could have missing split infos when reloading the dataset from the cache.
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https://api.github.com/repos/huggingface/datasets/issues/2136 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2136/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2136/comments | https://api.github.com/repos/huggingface/datasets/issues/2136/events | https://github.com/huggingface/datasets/pull/2136 | 843,492,015 | MDExOlB1bGxSZXF1ZXN0NjAyODY0ODY5 | 2,136 | fix dialogue action slot name and value | {
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https://api.github.com/repos/huggingface/datasets/issues/2135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2135/comments | https://api.github.com/repos/huggingface/datasets/issues/2135/events | https://github.com/huggingface/datasets/issues/2135 | 843,246,344 | MDU6SXNzdWU4NDMyNDYzNDQ= | 2,135 | en language data from MLQA dataset is missing | {
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"Hi ! Indeed only the languages of the `translate-train` data are included...\r\nI can't find a link to download the english train set on https://github.com/facebookresearch/MLQA though, do you know where we can download it ?",
"Hi @lhoestq \r\nthank you very much for coming back to me, now I see, you are right, ... | 2021-03-29T10:47:50Z | 2021-03-30T10:20:23Z | 2021-03-30T10:20:23Z | CONTRIBUTOR | null | null | {
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I need mlqa-translate-train.en dataset, but it is missing from the MLQA dataset. could you have a look please? @lhoestq thank you for your help to fix this issue. | {
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https://api.github.com/repos/huggingface/datasets/issues/2134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2134/comments | https://api.github.com/repos/huggingface/datasets/issues/2134/events | https://github.com/huggingface/datasets/issues/2134 | 843,242,849 | MDU6SXNzdWU4NDMyNDI4NDk= | 2,134 | Saving large in-memory datasets with save_to_disk crashes because of pickling | {
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"Hi !\r\nIndeed `save_to_disk` doesn't call pickle anymore. Though the `OverflowError` can still appear for in-memory datasets bigger than 4GB. This happens when doing this for example:\r\n```python\r\nimport pyarrow as pa\r\nimport pickle\r\n\r\narr = pa.array([0] * ((4 * 8 << 30) // 64))\r\ntable = pa.Table.from_... | 2021-03-29T10:43:15Z | 2021-05-03T17:59:21Z | 2021-05-03T17:59:21Z | NONE | null | null | {
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Recently I've been working on medium to large size datasets (pretokenized raw text sizes from few gigabytes to low tens of gigabytes), and have found out that several preprocessing steps are massively faster when done in memory, and I have the ability to requisition a lot of RAM, so... | {
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https://api.github.com/repos/huggingface/datasets/issues/2133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2133/comments | https://api.github.com/repos/huggingface/datasets/issues/2133/events | https://github.com/huggingface/datasets/issues/2133 | 843,149,680 | MDU6SXNzdWU4NDMxNDk2ODA= | 2,133 | bug in mlqa dataset | {
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"If you print those questions, you get readable texts:\r\n```python\r\n>>> questions = [\r\n... \"\\u0645\\u062a\\u0649 \\u0628\\u062f\\u0627\\u062a \\u0627\\u0644\\u0645\\u062c\\u0644\\u0629 \\u0627\\u0644\\u0645\\u062f\\u0631\\u0633\\u064a\\u0629 \\u0641\\u064a \\u0646\\u0648\\u062a\\u0631\\u062f\\u0627\\u064... | 2021-03-29T09:03:09Z | 2021-03-30T17:40:57Z | 2021-03-30T17:40:57Z | NONE | null | null | {
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Looking into MLQA dataset for langauge "ar":
```
"question": [
"\u0645\u062a\u0649 \u0628\u062f\u0627\u062a \u0627\u0644\u0645\u062c\u0644\u0629 \u0627\u0644\u0645\u062f\u0631\u0633\u064a\u0629 \u0641\u064a \u0646\u0648\u062a\u0631\u062f\u0627\u0645 \u0628\u0627\u0644\u0646\u0634\u0631?",
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https://api.github.com/repos/huggingface/datasets/issues/2132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2132/comments | https://api.github.com/repos/huggingface/datasets/issues/2132/events | https://github.com/huggingface/datasets/issues/2132 | 843,142,822 | MDU6SXNzdWU4NDMxNDI4MjI= | 2,132 | TydiQA dataset is mixed and is not split per language | {
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"You can filter the languages this way:\r\n```python\r\ntydiqa_en = tydiqa_dataset.filter(lambda x: x[\"language\"] == \"english\")\r\n```\r\n\r\nOtherwise maybe we can have one configuration per language ?\r\nWhat do you think of this for example ?\r\n\r\n```python\r\nload_dataset(\"tydiqa\", \"primary_task.en\")\... | 2021-03-29T08:56:21Z | 2021-04-04T09:57:15Z | null | NONE | null | null | {
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Currently TydiQA is mixed and user can only access the whole training set of all languages:
https://www.tensorflow.org/datasets/catalog/tydi_qa
for using this dataset, one need to train/evaluate in each separate language, and having them mixed, makes it hard to use this dataset. This is much convenien... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2131 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2131/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2131/comments | https://api.github.com/repos/huggingface/datasets/issues/2131/events | https://github.com/huggingface/datasets/issues/2131 | 843,133,112 | MDU6SXNzdWU4NDMxMzMxMTI= | 2,131 | When training with Multi-Node Multi-GPU the worker 2 has TypeError: 'NoneType' object | {
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"Hi ! Thanks for reporting\r\nI was able to reproduce this issue. This was caused by missing split infos if a worker reloads the cache of the other worker.\r\n\r\nI just opened https://github.com/huggingface/datasets/pull/2137 to fix this issue",
"The PR got merged :)\r\nFeel free to try it out on the `master` br... | 2021-03-29T08:45:58Z | 2021-04-10T11:08:55Z | 2021-04-10T11:08:55Z | NONE | null | null | {
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met a very strange error, I am training large scale language model, and need train on 2 machines(workers).
And sometimes I will get this error `TypeError: 'NoneType' object is not iterable`
This is traceback
```
71 | | Traceback (most recent call last):
-- | -- | --
72 | | File "run_gpt.py"... | {
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"Here please find TFDS format of this dataset: https://www.tensorflow.org/datasets/catalog/wikiann\r\nwhere there is a span column, this is really necessary to be able to use the data, and I appreciate your help @lhoestq ",
"Hi !\r\nApparently you can get the spans from the NER tags using `tags_to_spans` defined ... | 2021-03-29T08:23:00Z | 2021-08-27T14:44:18Z | 2021-08-27T14:44:18Z | NONE | null | null | {
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Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq | {
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"Hi !\r\nWe're not using `TextDatasetForNextSentencePrediction` in `datasets`.\r\nAlthough you can probably use the `TextDatasetForNextSentencePrediction.create_examples_from_document` on a dataset to prepare it for next sentence prediction.",
"Thanks.\r\n\r\nDo you mean that `TextDatasetForNextSentencePrediction... | 2021-03-29T06:48:03Z | 2021-04-01T04:58:40Z | 2021-04-01T04:58:40Z | NONE | null | null | {
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I'm trying to pretrain the BERT model with next sentence prediction. Is there any function that supports next sentence prediction
like ` TextDatasetForNextSentencePrediction` of `huggingface/transformers` ?
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https://api.github.com/repos/huggingface/datasets/issues/2128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2128/comments | https://api.github.com/repos/huggingface/datasets/issues/2128/events | https://github.com/huggingface/datasets/issues/2128 | 843,023,910 | MDU6SXNzdWU4NDMwMjM5MTA= | 2,128 | Dialogue action slot name and value are reversed in MultiWoZ 2.2 | {
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"Hi\r\nGood catch ! Thanks for reporting\r\n\r\nIf you are interested in contributing, feel free to open a PR to fix this :) "
] | 2021-03-29T06:34:02Z | 2021-03-31T12:48:01Z | 2021-03-31T12:48:01Z | CONTRIBUTOR | null | null | {
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} | Hi @yjernite, thank you for adding MultiWoZ 2.2 in the huggingface datasets platform. It is beneficial!
I spot an error that the order of Dialogue action slot names and values are reversed.
https://github.com/huggingface/datasets/blob/649b2c469779bc4221e1b6969aa2496d63eb5953/datasets/multi_woz_v22/multi_woz_v22.p... | {
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https://api.github.com/repos/huggingface/datasets/issues/2127 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2127/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2127/comments | https://api.github.com/repos/huggingface/datasets/issues/2127/events | https://github.com/huggingface/datasets/pull/2127 | 843,017,199 | MDExOlB1bGxSZXF1ZXN0NjAyNDYxMzc3 | 2,127 | make documentation more clear to use different cloud storage | {
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https://api.github.com/repos/huggingface/datasets/issues/2126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2126/comments | https://api.github.com/repos/huggingface/datasets/issues/2126/events | https://github.com/huggingface/datasets/pull/2126 | 842,779,966 | MDExOlB1bGxSZXF1ZXN0NjAyMjcyMjg4 | 2,126 | Replace legacy torch.Tensor constructor with torch.tensor | {
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https://api.github.com/repos/huggingface/datasets/issues/2125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2125/comments | https://api.github.com/repos/huggingface/datasets/issues/2125/events | https://github.com/huggingface/datasets/issues/2125 | 842,690,570 | MDU6SXNzdWU4NDI2OTA1NzA= | 2,125 | Is dataset timit_asr broken? | {
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"Hi,\r\n\r\nthanks for the report, but this is a duplicate of #2052. ",
"@mariosasko \r\nThank you for your quick response! Following #2052, I've fixed the problem."
] | 2021-03-28T08:30:18Z | 2021-03-28T12:29:25Z | 2021-03-28T12:29:25Z | NONE | null | null | {
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``` python
from datasets import load_dataset, load_metric
timit = load_dataset("timit_asr")
from datasets import ClassLabel
import random
import pandas as pd
from IPython.display import display, HTML
def show_random_elements(dataset, num_example... | {
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https://api.github.com/repos/huggingface/datasets/issues/2124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2124/comments | https://api.github.com/repos/huggingface/datasets/issues/2124/events | https://github.com/huggingface/datasets/issues/2124 | 842,627,729 | MDU6SXNzdWU4NDI2Mjc3Mjk= | 2,124 | Adding ScaNN library to do MIPS? | {
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"I haven't played with it (yet) but it sounds really cool !\r\n"
] | 2021-03-28T00:07:00Z | 2021-03-29T13:23:43Z | null | NONE | null | null | {
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} | @lhoestq Hi I am thinking of adding this new google library to do the MIPS similar to **add_faiss_idex**. As the paper suggests, it is really fast when it comes to retrieving the nearest neighbors.
https://github.com/google-research/google-research/tree/master/scann
![image](https://user-images.githubusercontent... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2123/comments | https://api.github.com/repos/huggingface/datasets/issues/2123/events | https://github.com/huggingface/datasets/issues/2123 | 842,577,285 | MDU6SXNzdWU4NDI1NzcyODU= | 2,123 | Problem downloading GEM wiki_auto_asset_turk dataset | {
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"Hi,\r\n\r\nsadly I can't replicate the problem on my Windows machine. Try to update the library to the newest version with:\r\n```bash\r\npip install git+https://github.com/huggingface/datasets\r\n``` ",
"Thanks for the answer! I updated the library but unfortunately it didn't solve the problem.",
"Is there an... | 2021-03-27T18:41:28Z | 2021-05-12T16:15:18Z | 2021-05-12T16:15:17Z | NONE | null | null | {
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### Summary
I am currently working on the GEM datasets and do not manage to download the wiki_auto_asset_turk data, whereas all other datasets download well with the same code.
### Steps to reproduce
Code snippet:
from datasets import load_dataset
#dataset = load_dataset('gem', 'web_nlg_en')
d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2122/comments | https://api.github.com/repos/huggingface/datasets/issues/2122/events | https://github.com/huggingface/datasets/pull/2122 | 842,194,588 | MDExOlB1bGxSZXF1ZXN0NjAxODE3MjI0 | 2,122 | Fast table queries with interpolation search | {
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This should fix issue #1803
Currently querying examples in a dataset is O(n) because of the underlying pyarrow ChunkedArrays implementation.
To fix this I implemented interpolation search that is pretty effective since datasets usually verifies the condition of evenly distributed chunks (the default ch... | {
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https://api.github.com/repos/huggingface/datasets/issues/2121 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2121/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2121/comments | https://api.github.com/repos/huggingface/datasets/issues/2121/events | https://github.com/huggingface/datasets/pull/2121 | 842,148,633 | MDExOlB1bGxSZXF1ZXN0NjAxNzc4NDc4 | 2,121 | Add Validation For README | {
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"Good start! Here are some proposed next steps:\r\n- We want the Class structure to reflect the template - so the parser know what section titles to expect and when something has gone wrong\r\n- As a result, we don't need to parse the table of contents, since it will always be the same\r\n- For each section/subsect... | 2021-03-26T17:02:17Z | 2021-05-10T13:17:18Z | 2021-05-10T09:41:41Z | CONTRIBUTOR | null | null | null | null | Hi @lhoestq, @yjernite
This is a simple Readme parser. All classes specific to different sections can inherit `Section` class, and we can define more attributes in each.
Let me know if this is going in the right direction :)
Currently the output looks like this, for `to_dict()` on `FashionMNIST` `README.md`:
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https://api.github.com/repos/huggingface/datasets/issues/2120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2120/comments | https://api.github.com/repos/huggingface/datasets/issues/2120/events | https://github.com/huggingface/datasets/issues/2120 | 841,954,521 | MDU6SXNzdWU4NDE5NTQ1MjE= | 2,120 | dataset viewer does not work anymore | {
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"Thanks for reporting :) We're looking into it",
"Back up. "
] | 2021-03-26T13:22:13Z | 2021-03-26T15:52:22Z | 2021-03-26T15:52:22Z | NONE | null | null | {
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I normally use this link to see all datasets and how I can load them
https://huggingface.co/datasets/viewer/
Now I am getting
502 Bad Gateway
nginx/1.18.0 (Ubuntu)
could you bring this webpage back ? this was very helpful @lhoestq
thanks for your help | {
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https://api.github.com/repos/huggingface/datasets/issues/2119 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2119/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2119/comments | https://api.github.com/repos/huggingface/datasets/issues/2119/events | https://github.com/huggingface/datasets/pull/2119 | 841,567,199 | MDExOlB1bGxSZXF1ZXN0NjAxMjg2MjIy | 2,119 | copy.deepcopy os.environ instead of copy | {
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- bug fix: using envrion.copy() returns a dict.
- using deepcopy(environ) returns an `_environ` object
- Changing the datatype of the _environ object can break code, if subsequent libraries perform operations using apis exclusive to the environ object, lik... | {
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https://api.github.com/repos/huggingface/datasets/issues/2118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2118/comments | https://api.github.com/repos/huggingface/datasets/issues/2118/events | https://github.com/huggingface/datasets/pull/2118 | 841,563,329 | MDExOlB1bGxSZXF1ZXN0NjAxMjgzMDUx | 2,118 | Remove os.environ.copy in Dataset.map | {
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"I thought deepcopy on `os.environ` is unsafe (see [this](https://stackoverflow.com/questions/13142972/using-copy-deepcopy-on-os-environ-in-python-appears-broken)), but I can't replicate the behavior described in the linked SO thread.\r\n\r\nClosing this one because #2119 has a much cleaner approach."
] | 2021-03-26T03:48:17Z | 2021-03-26T12:03:23Z | 2021-03-26T12:00:05Z | COLLABORATOR | null | null | null | null | Replace `os.environ.copy` with in-place modification
Fixes #2115 | {
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https://api.github.com/repos/huggingface/datasets/issues/2117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2117/comments | https://api.github.com/repos/huggingface/datasets/issues/2117/events | https://github.com/huggingface/datasets/issues/2117 | 841,535,283 | MDU6SXNzdWU4NDE1MzUyODM= | 2,117 | load_metric from local "glue.py" meet error 'NoneType' object is not callable | {
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"@Frankie123421 what was the resolution to this?",
"> @Frankie123421 what was the resolution to this?\r\n\r\nuse glue_metric.py instead of glue.py in load_metric",
"thank you!"
] | 2021-03-26T02:35:22Z | 2021-08-25T21:44:05Z | 2021-03-26T02:40:26Z | NONE | null | null | {
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} | actual_task = "mnli" if task == "mnli-mm" else task
dataset = load_dataset(path='/home/glue.py', name=actual_task)
metric = load_metric(path='/home/glue.py', name=actual_task)
---------------------------------------------------------------------------
TypeError Traceback (most recent... | {
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https://api.github.com/repos/huggingface/datasets/issues/2116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2116/comments | https://api.github.com/repos/huggingface/datasets/issues/2116/events | https://github.com/huggingface/datasets/issues/2116 | 841,481,292 | MDU6SXNzdWU4NDE0ODEyOTI= | 2,116 | Creating custom dataset results in error while calling the map() function | {
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"Hi,\r\n\r\nthe `_data` attribute is missing due to `MyDataset.__init__` not calling the parent `__init__`. However, I don't think it's a good idea to subclass the `datasets.Dataset` class (e.g. it's kind of dangerous to override `datasets.Dataset.__getitem__`). Instead, it's better to follow the \"association over... | 2021-03-26T00:37:46Z | 2021-03-31T14:30:32Z | 2021-03-31T14:30:32Z | NONE | null | null | {
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} | calling `map()` of `datasets` library results into an error while defining a Custom dataset.
Reproducible example:
```
import datasets
class MyDataset(datasets.Dataset):
def __init__(self, sentences):
"Initialization"
self.samples = sentences
def __len__(self):
"Denotes the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2115/comments | https://api.github.com/repos/huggingface/datasets/issues/2115/events | https://github.com/huggingface/datasets/issues/2115 | 841,283,974 | MDU6SXNzdWU4NDEyODM5NzQ= | 2,115 | The datasets.map() implementation modifies the datatype of os.environ object | {
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} | In our testing, we noticed that the datasets.map() implementation is modifying the datatype of python os.environ object from '_Environ' to 'dict'.
This causes following function calls to fail as follows:
`
x = os.environ.get("TEST_ENV_VARIABLE_AFTER_dataset_map", default=None)
TypeError: get() takes... | {
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https://api.github.com/repos/huggingface/datasets/issues/2114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2114/comments | https://api.github.com/repos/huggingface/datasets/issues/2114/events | https://github.com/huggingface/datasets/pull/2114 | 841,207,878 | MDExOlB1bGxSZXF1ZXN0NjAwOTc1MTA3 | 2,114 | Support for legal NLP datasets (EURLEX, ECtHR cases and EU-REG-IR) | {
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"> Awesome thank you :)\r\n> This is really cool\r\n> \r\n> I left a few comments.\r\n> \r\n> Also it looks like the dummy data are quite big (100-200KB each). Can you try to reduce their sizes please ? For example I noticed that all the jsonl files inside the `dummy_data.zip` files have 20 lines. Can you only keep... | 2021-03-25T18:40:17Z | 2021-03-31T10:38:50Z | 2021-03-31T10:38:50Z | CONTRIBUTOR | null | null | null | null | Add support for two legal NLP datasets:
- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084)
- EU-REG-IR (https://arxiv.org/abs/2101.10726) | {
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https://api.github.com/repos/huggingface/datasets/issues/2113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2113/comments | https://api.github.com/repos/huggingface/datasets/issues/2113/events | https://github.com/huggingface/datasets/pull/2113 | 841,191,303 | MDExOlB1bGxSZXF1ZXN0NjAwOTYxMDEz | 2,113 | Implement Dataset as context manager | {
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This will avoid
> During handling of the above exception, another exception occurred: | {
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https://api.github.com/repos/huggingface/datasets/issues/2112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2112/comments | https://api.github.com/repos/huggingface/datasets/issues/2112/events | https://github.com/huggingface/datasets/pull/2112 | 841,098,008 | MDExOlB1bGxSZXF1ZXN0NjAwODgyMjA0 | 2,112 | Support for legal NLP datasets (EURLEX and ECtHR cases) | {
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... | [] | closed | false | null | [] | null | [] | 2021-03-25T16:24:17Z | 2021-03-25T18:39:31Z | 2021-03-25T18:34:31Z | CONTRIBUTOR | null | null | null | null | Add support for two legal NLP datasets:
- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084) | {
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https://api.github.com/repos/huggingface/datasets/issues/2111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2111/comments | https://api.github.com/repos/huggingface/datasets/issues/2111/events | https://github.com/huggingface/datasets/pull/2111 | 841,082,087 | MDExOlB1bGxSZXF1ZXN0NjAwODY4OTg5 | 2,111 | Compute WER metric iteratively | {
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"I discussed with Patrick and I think we could have a nice addition: have a parameter `concatenate_texts` that, if `True`, uses the old implementation.\r\n\r\nBy default `concatenate_texts` would be `False`, so that sentences are evaluated independently, and to save resources (the WER computation has a quadratic co... | 2021-03-25T16:06:48Z | 2021-04-06T07:20:43Z | 2021-04-06T07:20:43Z | MEMBER | null | null | null | null | Compute WER metric iteratively to avoid MemoryError.
Fix #2078. | {
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"Hi ! The SplitInfo is not always available. By default you would get `split_info.num_examples == 0`\r\nSo unfortunately we can't use this assertion you suggested",
"> Hi ! The SplitInfo is not always available. By default you would get `split_info.num_examples == 0`\r\n> So unfortunately we can't use this assert... | 2021-03-25T10:39:20Z | 2021-04-12T13:33:03Z | 2021-04-12T13:33:03Z | CONTRIBUTOR | null | null | null | null | Fix incorrect num_examples comparison assertion in builder.py | {
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https://api.github.com/repos/huggingface/datasets/issues/2109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2109/comments | https://api.github.com/repos/huggingface/datasets/issues/2109/events | https://github.com/huggingface/datasets/pull/2109 | 840,746,598 | MDExOlB1bGxSZXF1ZXN0NjAwNTg1MzM5 | 2,109 | Add more issue templates and customize issue template chooser | {
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"If you agree, I could also add a link to [Discussions](https://github.com/huggingface/datasets/discussions) in order to reinforce the use of Discussion to make Questions (instead of Issues).\r\n\r\nI could also add some other templates: Bug, Feature Request,...",
"@theo-m we wrote our same comments at the same t... | 2021-03-25T09:41:53Z | 2021-04-19T06:20:11Z | 2021-04-19T06:20:11Z | MEMBER | null | null | null | null | When opening an issue, it is not evident for the users how to choose a blank issue template. There is a link at the bottom of all the other issue templates (`Don’t see your issue here? Open a blank issue.`), but this is not very visible for users. This is the reason why many users finally chose the `add-dataset` templa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2108/comments | https://api.github.com/repos/huggingface/datasets/issues/2108/events | https://github.com/huggingface/datasets/issues/2108 | 840,181,055 | MDU6SXNzdWU4NDAxODEwNTU= | 2,108 | Is there a way to use a GPU only when training an Index in the process of add_faisis_index? | {
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} | Motivation - Some FAISS indexes like IVF consist of the training step that clusters the dataset into a given number of indexes. It would be nice if we can use a GPU to do the training step and covert the index back to CPU as mention in [this faiss example](https://gist.github.com/mdouze/46d6bbbaabca0b9778fca37ed2bcccf6... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2107 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2107/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2107/comments | https://api.github.com/repos/huggingface/datasets/issues/2107/events | https://github.com/huggingface/datasets/pull/2107 | 839,495,825 | MDExOlB1bGxSZXF1ZXN0NTk5NTAxODE5 | 2,107 | Metadata validation | {
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"> Also I was wondering this is really needed to have `utils.metadata` as a submodule of `datasets` ? This is only used by the CI so I'm not sure we should have this in the actual `datasets` package.\r\n\r\nI'm unclear on the suggestion, would you rather have a root-level `./metadata.py` file? I think it's well whe... | 2021-03-24T08:52:41Z | 2021-04-26T08:27:14Z | 2021-04-26T08:27:13Z | CONTRIBUTOR | null | null | null | null | - `pydantic` metadata schema with dedicated validators against our taxonomy
- ci script to validate new changes against this schema and start a vertuous loop
- soft validation on tasks ids since we expect the taxonomy to undergo some changes in the near future
for reference with the current validation we have ~365... | {
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https://api.github.com/repos/huggingface/datasets/issues/2106 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2106/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2106/comments | https://api.github.com/repos/huggingface/datasets/issues/2106/events | https://github.com/huggingface/datasets/issues/2106 | 839,084,264 | MDU6SXNzdWU4MzkwODQyNjQ= | 2,106 | WMT19 Dataset for Kazakh-English is not formatted correctly | {
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"Hi ! Thanks for reporting\r\n\r\nBy looking at the raw `news-commentary-v14.en-kk.tsv` file, it looks like there are at least 17 lines with this issue.\r\nMoreover these issues are not always the same:\r\n- L97 is only `kk` text and must be appended at the end of the `kk` text of the **next** line\r\n- L2897 is on... | 2021-03-23T20:14:47Z | 2021-03-25T21:36:20Z | null | NONE | null | null | {
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} | In addition to the bug of languages being switched from Issue @415, there are incorrect translations in the dataset because the English-Kazakh translations have a one off formatting error.
The News Commentary v14 parallel data set for kk-en from http://www.statmt.org/wmt19/translation-task.html has a bug here:
> ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2105/comments | https://api.github.com/repos/huggingface/datasets/issues/2105/events | https://github.com/huggingface/datasets/issues/2105 | 839,059,226 | MDU6SXNzdWU4MzkwNTkyMjY= | 2,105 | Request to remove S2ORC dataset | {
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"Hello @kyleclo! Currently, we are getting the data from your bucket, so if you remove it the HF script won't work anymore :) \r\n\r\nUntil you solve things on your end, @lhoestq suggested we just return a warning message when people try to load that dataset from HF. What would you like it to say?",
"Hi @kyleclo,... | 2021-03-23T19:43:06Z | 2021-08-04T19:18:02Z | null | NONE | null | null | {
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} | Hi! I was wondering if it's possible to remove [S2ORC](https://huggingface.co/datasets/s2orc) from hosting on Huggingface's platform? Unfortunately, there are some legal considerations about how we make this data available. Happy to add back to Huggingface's platform once we work out those hurdles! Thanks! | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2104/comments | https://api.github.com/repos/huggingface/datasets/issues/2104/events | https://github.com/huggingface/datasets/issues/2104 | 839,027,834 | MDU6SXNzdWU4MzkwMjc4MzQ= | 2,104 | Trouble loading wiki_movies | {
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"Hi ! `wiki_movies` was added in `datasets==1.2.0`. However it looks like you have `datasets==1.1.2`.\r\n\r\nTo use `wiki_movies`, please update `datasets` with\r\n```\r\npip install --upgrade datasets\r\n```",
"Thanks a lot! That solved it and I was able to upload a model trained on it as well :)"
] | 2021-03-23T18:59:54Z | 2022-03-30T08:22:58Z | 2022-03-30T08:22:58Z | NONE | null | null | {
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I am trying to load_dataset("wiki_movies") and it gives me this error -
`FileNotFoundError: Couldn't find file locally at wiki_movies/wiki_movies.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/wiki_movies/wiki_movies.py or https://s3.amazonaws.com/datasets.huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2103 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2103/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2103/comments | https://api.github.com/repos/huggingface/datasets/issues/2103/events | https://github.com/huggingface/datasets/issues/2103 | 838,946,916 | MDU6SXNzdWU4Mzg5NDY5MTY= | 2,103 | citation, homepage, and license fields of `dataset_info.json` are duplicated many times | {
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"Thanks for reporting :)\r\nMaybe we can concatenate fields only if they are different.\r\n\r\nCurrently this is done here:\r\n\r\nhttps://github.com/huggingface/nlp/blob/349ac4398a3bcae6356f14c5754483383a60e8a4/src/datasets/info.py#L180-L196\r\n\r\nThis can be a good first contribution to the library.\r\nPlease co... | 2021-03-23T17:18:09Z | 2021-04-06T14:39:59Z | 2021-04-06T14:39:59Z | NONE | null | null | {
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} | This happens after a `map` operation when `num_proc` is set to `>1`. I tested this by cleaning up the json before running the `map` op on the dataset so it's unlikely it's coming from an earlier concatenation.
Example result:
```
"citation": "@ONLINE {wikidump,\n author = {Wikimedia Foundation},\n title = {... | {
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https://api.github.com/repos/huggingface/datasets/issues/2102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2102/comments | https://api.github.com/repos/huggingface/datasets/issues/2102/events | https://github.com/huggingface/datasets/pull/2102 | 838,794,090 | MDExOlB1bGxSZXF1ZXN0NTk4OTEyNzUw | 2,102 | Move Dataset.to_csv to csv module | {
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https://api.github.com/repos/huggingface/datasets/issues/2101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2101/comments | https://api.github.com/repos/huggingface/datasets/issues/2101/events | https://github.com/huggingface/datasets/pull/2101 | 838,586,184 | MDExOlB1bGxSZXF1ZXN0NTk4NzQzMDM4 | 2,101 | MIAM dataset - new citation details | {
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"Hi !\r\nLooks like there's a unicode error in the new citation in the miam.py file.\r\nCould you try to fix it ? Not sure from which character it comes from though\r\n\r\nYou can test if it works on your side with\r\n```\r\nRUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_con... | 2021-03-23T10:41:23Z | 2021-03-23T18:08:10Z | 2021-03-23T18:08:10Z | CONTRIBUTOR | null | null | null | null | Hi @lhoestq, I have updated the citations to reference an OpenReview preprint. | {
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https://api.github.com/repos/huggingface/datasets/issues/2100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2100/comments | https://api.github.com/repos/huggingface/datasets/issues/2100/events | https://github.com/huggingface/datasets/pull/2100 | 838,574,631 | MDExOlB1bGxSZXF1ZXN0NTk4NzMzOTM0 | 2,100 | Fix deprecated warning message and docstring | {
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"I have a question: what about `dictionary_encode_column_`?\r\n- It is deprecated in Dataset, but it recommends using a non-existing method instead: `Dataset.dictionary_encode_column` does not exist.\r\n- It is NOT deprecated in DatasetDict.",
"`dictionary_encode_column_ ` should be deprecated since it never work... | 2021-03-23T10:27:52Z | 2021-03-24T08:19:41Z | 2021-03-23T18:03:49Z | MEMBER | null | null | null | null | Fix deprecated warnings:
- Use deprecated Sphinx directive in docstring
- Fix format of deprecated message
- Raise FutureWarning | {
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https://api.github.com/repos/huggingface/datasets/issues/2099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2099/comments | https://api.github.com/repos/huggingface/datasets/issues/2099/events | https://github.com/huggingface/datasets/issues/2099 | 838,523,819 | MDU6SXNzdWU4Mzg1MjM4MTk= | 2,099 | load_from_disk takes a long time to load local dataset | {
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"Hi !\r\nCan you share more information about the features of your dataset ? You can get them by printing `my_dataset.features`\r\nCan you also share the code of your `map` function ?",
"It is actually just the tokenized `wikipedia` dataset with `input_ids`, `attention_mask`, etc, with one extra column which is a... | 2021-03-23T09:28:37Z | 2021-03-23T17:12:16Z | 2021-03-23T17:12:16Z | NONE | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2098 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2098/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2098/comments | https://api.github.com/repos/huggingface/datasets/issues/2098/events | https://github.com/huggingface/datasets/issues/2098 | 838,447,959 | MDU6SXNzdWU4Mzg0NDc5NTk= | 2,098 | SQuAD version | {
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"Hi ! This is 1.1 as specified by the download urls here:\r\n\r\nhttps://github.com/huggingface/nlp/blob/349ac4398a3bcae6356f14c5754483383a60e8a4/datasets/squad/squad.py#L50-L55",
"Got it. Thank you~"
] | 2021-03-23T07:47:54Z | 2021-03-26T09:48:54Z | 2021-03-26T09:48:54Z | NONE | null | null | {
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I want train on squad dataset. What's the version of the squad? Is it 1.1 or 1.0? I'm new in QA, I don't find some descriptions about it. | {
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https://api.github.com/repos/huggingface/datasets/issues/2097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2097/comments | https://api.github.com/repos/huggingface/datasets/issues/2097/events | https://github.com/huggingface/datasets/pull/2097 | 838,105,289 | MDExOlB1bGxSZXF1ZXN0NTk4MzM4MTA3 | 2,097 | fixes issue #1110 by descending further if `obj["_type"]` is a dict | {
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https://api.github.com/repos/huggingface/datasets/issues/2096 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2096/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2096/comments | https://api.github.com/repos/huggingface/datasets/issues/2096/events | https://github.com/huggingface/datasets/issues/2096 | 838,038,379 | MDU6SXNzdWU4MzgwMzgzNzk= | 2,096 | CoNLL 2003 dataset not including German | {
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"Hello. I've been looking for information about German Conll2003 and found your question. Official site (https://www.clips.uantwerpen.be/conll2003/ner/) mentions that organizers provide only annotation. German texts (ECI Multilingual Text Corpus) are not freely available and can be ordered from the Linguistic Data ... | 2021-03-22T19:23:56Z | 2023-07-25T16:49:07Z | 2023-07-25T16:49:07Z | NONE | null | null | {
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} | Hello, thanks for all the work on developing and maintaining this amazing platform, which I am enjoying working with!
I was wondering if there is a reason why the German CoNLL 2003 dataset is not included in the [repository](https://github.com/huggingface/datasets/tree/master/datasets/conll2003), since a copy of it ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2093/comments | https://api.github.com/repos/huggingface/datasets/issues/2093/events | https://github.com/huggingface/datasets/pull/2093 | 837,209,211 | MDExOlB1bGxSZXF1ZXN0NTk3NTgyNjUx | 2,093 | Fix: Allows a feature to be named "_type" | {
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"Nice thank you !\r\nThis looks like a pretty simple yet effective fix ;)\r\nCould you just add a test in `test_features.py` to make sure that you can create `features` with a `_type` field and that it is possible to convert it as a dict and reload it ?\r\n```python\r\nfrom datasets import Features, Value\r\n\r\n# ... | 2021-03-21T23:21:57Z | 2021-03-25T14:35:54Z | 2021-03-25T14:35:54Z | CONTRIBUTOR | null | null | null | null | This PR tries to fix issue #1110. Sorry for taking so long to come back to this.
It's a simple fix, but i am not sure if it works for all possible types of `obj`. Let me know what you think @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/2092 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2092/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2092/comments | https://api.github.com/repos/huggingface/datasets/issues/2092/events | https://github.com/huggingface/datasets/issues/2092 | 836,984,043 | MDU6SXNzdWU4MzY5ODQwNDM= | 2,092 | How to disable making arrow tables in load_dataset ? | {
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"Hi ! We plan to add streaming features in the future.\r\n\r\nThis should allow to load a dataset instantaneously without generating the arrow table. The trade-off is that accessing examples from a streaming dataset must be done in an iterative way, and with an additional (but hopefully minor) overhead.\r\nWhat do ... | 2021-03-21T04:50:07Z | 2022-06-01T16:49:52Z | 2022-06-01T16:49:52Z | NONE | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2091 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2091/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2091/comments | https://api.github.com/repos/huggingface/datasets/issues/2091/events | https://github.com/huggingface/datasets/pull/2091 | 836,831,403 | MDExOlB1bGxSZXF1ZXN0NTk3Mjk4ODI3 | 2,091 | Fix copy snippet in docs | {
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https://api.github.com/repos/huggingface/datasets/issues/2090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2090/comments | https://api.github.com/repos/huggingface/datasets/issues/2090/events | https://github.com/huggingface/datasets/pull/2090 | 836,807,498 | MDExOlB1bGxSZXF1ZXN0NTk3MjgwNTEy | 2,090 | Add machine translated multilingual STS benchmark dataset | {
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"Hello dear maintainer, are there any comments or questions about this PR?",
"@iamollas thanks for the feedback. I did not see the template.\r\nI improved it...",
"Should be clean for merge IMO.",
"@lhoestq CI is green. ;-)",
"Thanks again ! this is awesome :)",
"Thanks for merging. :-)"
] | 2021-03-20T13:28:07Z | 2021-03-29T13:24:42Z | 2021-03-29T13:00:15Z | CONTRIBUTOR | null | null | null | null | also see here https://github.com/PhilipMay/stsb-multi-mt | {
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https://api.github.com/repos/huggingface/datasets/issues/2089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2089/comments | https://api.github.com/repos/huggingface/datasets/issues/2089/events | https://github.com/huggingface/datasets/issues/2089 | 836,788,019 | MDU6SXNzdWU4MzY3ODgwMTk= | 2,089 | Add documentaton for dataset README.md files | {
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"Hi ! We are using the [datasets-tagging app](https://github.com/huggingface/datasets-tagging) to select the tags to add.\r\n\r\nWe are also adding the full list of tags in #2107 \r\nThis covers multilinguality, language_creators, licenses, size_categories and task_categories.\r\n\r\nIn general if you want to add a... | 2021-03-20T11:44:38Z | 2023-07-25T16:45:38Z | 2023-07-25T16:45:37Z | CONTRIBUTOR | null | null | {
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the dataset README files have special headers.
Somehow a documenation of the allowed values and tags is missing.
Could you add that?
Just to give some concrete questions that should be answered imo:
- which values can be passted to multilinguality?
- what should be passed to language_creators?
- which valu... | {
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https://api.github.com/repos/huggingface/datasets/issues/2088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2088/comments | https://api.github.com/repos/huggingface/datasets/issues/2088/events | https://github.com/huggingface/datasets/pull/2088 | 836,763,733 | MDExOlB1bGxSZXF1ZXN0NTk3MjQ4Mzk1 | 2,088 | change bibtex template to author instead of authors | {
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"Trailing whitespace was removed. So more changes in diff than just this fix."
] | 2021-03-20T09:23:44Z | 2021-03-23T15:40:12Z | 2021-03-23T15:40:12Z | CONTRIBUTOR | null | null | null | null | Hi,
IMO when using BibTex Author should be used instead of Authors.
See here: http://www.bibtex.org/Using/de/
Thanks
Philip | {
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https://api.github.com/repos/huggingface/datasets/issues/2087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2087/comments | https://api.github.com/repos/huggingface/datasets/issues/2087/events | https://github.com/huggingface/datasets/pull/2087 | 836,587,392 | MDExOlB1bGxSZXF1ZXN0NTk3MDg4NTk2 | 2,087 | Update metadata if dataset features are modified | {
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"@lhoestq I'll try to add a test later if you think this approach with the wrapper is good.",
"Awesome thank you !\r\nYes this approach with a wrapper is good :)",
"@lhoestq Added a test. To verify that this change fixes the problem, replace:\r\n```\r\n!pip install datasets==1.5\r\n```\r\nwith:\r\n```\r\n!pip i... | 2021-03-20T02:05:23Z | 2021-04-09T09:25:33Z | 2021-04-09T09:25:33Z | COLLABORATOR | null | null | null | null | This PR adds a decorator that updates the dataset metadata if a previously executed transform modifies its features.
Fixes #2083
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https://api.github.com/repos/huggingface/datasets/issues/2086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2086/comments | https://api.github.com/repos/huggingface/datasets/issues/2086/events | https://github.com/huggingface/datasets/pull/2086 | 836,249,587 | MDExOlB1bGxSZXF1ZXN0NTk2Nzg0Mjcz | 2,086 | change user permissions to -rw-r--r-- | {
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"I tried this with `ade_corpus_v2` dataset. `ade_corpus_v2-train.arrow` (downloaded dataset) and `cache-25d41a4d3c2d8a25.arrow` (ran a mapping function on the dataset) both had file permission with octal value of `0644`. "
] | 2021-03-19T18:14:56Z | 2021-03-24T13:59:04Z | 2021-03-24T13:59:04Z | CONTRIBUTOR | null | null | null | null | Fix for #2065 | {
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https://api.github.com/repos/huggingface/datasets/issues/2085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2085/comments | https://api.github.com/repos/huggingface/datasets/issues/2085/events | https://github.com/huggingface/datasets/pull/2085 | 835,870,994 | MDExOlB1bGxSZXF1ZXN0NTk2NDYyOTc2 | 2,085 | Fix max_wait_time in requests | {
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https://api.github.com/repos/huggingface/datasets/issues/2084 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2084/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2084/comments | https://api.github.com/repos/huggingface/datasets/issues/2084/events | https://github.com/huggingface/datasets/issues/2084 | 835,750,671 | MDU6SXNzdWU4MzU3NTA2NzE= | 2,084 | CUAD - Contract Understanding Atticus Dataset | {
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"+1 on this request"
] | 2021-03-19T09:27:43Z | 2021-04-16T08:50:44Z | 2021-04-16T08:50:44Z | CONTRIBUTOR | null | null | {
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} | ## Adding a Dataset
- **Name:** CUAD - Contract Understanding Atticus Dataset
- **Description:** As one of the only large, specialized NLP benchmarks annotated by experts, CUAD can serve as a challenging research benchmark for the broader NLP community.
- **Paper:** https://arxiv.org/abs/2103.06268
- **Data:** http... | {
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https://api.github.com/repos/huggingface/datasets/issues/2083 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2083/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2083/comments | https://api.github.com/repos/huggingface/datasets/issues/2083/events | https://github.com/huggingface/datasets/issues/2083 | 835,695,425 | MDU6SXNzdWU4MzU2OTU0MjU= | 2,083 | `concatenate_datasets` throws error when changing the order of datasets to concatenate | {
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"Hi,\r\n\r\nthis bug is related to `Dataset.{remove_columns, rename_column, flatten}` not propagating the change to the schema metadata when the info features are updated, so this line is the culprit:\r\n```python\r\ncommon_voice_train = common_voice_train.remove_columns(['client_id', 'up_votes', 'down_votes', 'age... | 2021-03-19T08:29:48Z | 2021-04-09T09:25:33Z | 2021-04-09T09:25:33Z | CONTRIBUTOR | null | null | {
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I played around with the `concatenate_datasets(...)` function: https://huggingface.co/docs/datasets/package_reference/main_classes.html?highlight=concatenate_datasets#datasets.concatenate_datasets
and noticed that when the order in which the datasets are concatenated changes an error is thrown where it shou... | {
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https://api.github.com/repos/huggingface/datasets/issues/2082 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2082/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2082/comments | https://api.github.com/repos/huggingface/datasets/issues/2082/events | https://github.com/huggingface/datasets/pull/2082 | 835,401,555 | MDExOlB1bGxSZXF1ZXN0NTk2MDY1NTM0 | 2,082 | Updated card using information from data statement and datasheet | {
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https://api.github.com/repos/huggingface/datasets/issues/2081 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2081/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2081/comments | https://api.github.com/repos/huggingface/datasets/issues/2081/events | https://github.com/huggingface/datasets/pull/2081 | 835,112,968 | MDExOlB1bGxSZXF1ZXN0NTk1ODE3OTM4 | 2,081 | Fix docstrings issues | {
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https://api.github.com/repos/huggingface/datasets/issues/2080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2080/comments | https://api.github.com/repos/huggingface/datasets/issues/2080/events | https://github.com/huggingface/datasets/issues/2080 | 835,023,000 | MDU6SXNzdWU4MzUwMjMwMDA= | 2,080 | Multidimensional arrays in a Dataset | {
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"Hi !\r\n\r\nThis is actually supported ! but not yet in `from_pandas`.\r\nYou can use `from_dict` for now instead:\r\n```python\r\nfrom datasets import Dataset, Array2D, Features, Value\r\nimport pandas as pd\r\nimport numpy as np\r\n\r\ndataset = {\r\n 'bbox': [\r\n np.array([[1,2,3,4],[1,2,3,4],[1,2,3,... | 2021-03-18T16:29:14Z | 2021-03-25T12:46:53Z | 2021-03-25T12:46:53Z | NONE | null | null | {
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} | Hi,
I'm trying to put together a `datasets.Dataset` to be used with LayoutLM which is available in `transformers`. This model requires as input the bounding boxes of each of the token of a sequence. This is when I realized that `Dataset` does not support multi-dimensional arrays as a value for a column in a row.
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https://api.github.com/repos/huggingface/datasets/issues/2079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2079/comments | https://api.github.com/repos/huggingface/datasets/issues/2079/events | https://github.com/huggingface/datasets/pull/2079 | 834,920,493 | MDExOlB1bGxSZXF1ZXN0NTk1NjU2MDQ5 | 2,079 | Refactorize Metric.compute signature to force keyword arguments only | {
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https://api.github.com/repos/huggingface/datasets/issues/2078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2078/comments | https://api.github.com/repos/huggingface/datasets/issues/2078/events | https://github.com/huggingface/datasets/issues/2078 | 834,694,819 | MDU6SXNzdWU4MzQ2OTQ4MTk= | 2,078 | MemoryError when computing WER metric | {
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"Hi ! Thanks for reporting.\r\nWe're indeed using `jiwer` to compute the WER.\r\n\r\nMaybe instead of calling `jiwer.wer` once for all the preditions/references we can compute the WER iteratively to avoid memory issues ? I'm not too familial with `jiwer` but this must be possible.\r\n\r\nCurrently the code to compu... | 2021-03-18T11:30:05Z | 2021-05-01T08:31:49Z | 2021-04-06T07:20:43Z | NONE | null | null | {
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} | Hi, I'm trying to follow the ASR example to try Wav2Vec. This is the code that I use for WER calculation:
```
wer = load_metric("wer")
print(wer.compute(predictions=result["predicted"], references=result["target"]))
```
However, I receive the following exception:
`Traceback (most recent call last):
File ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2077 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2077/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2077/comments | https://api.github.com/repos/huggingface/datasets/issues/2077/events | https://github.com/huggingface/datasets/pull/2077 | 834,649,536 | MDExOlB1bGxSZXF1ZXN0NTk1NDI0MTYw | 2,077 | Bump huggingface_hub version | {
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"🔥 "
] | 2021-03-18T10:54:34Z | 2021-03-18T11:33:26Z | 2021-03-18T11:33:26Z | CONTRIBUTOR | null | null | null | null | `0.0.2 => 0.0.6` | {
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https://api.github.com/repos/huggingface/datasets/issues/2076 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2076/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2076/comments | https://api.github.com/repos/huggingface/datasets/issues/2076/events | https://github.com/huggingface/datasets/issues/2076 | 834,445,296 | MDU6SXNzdWU4MzQ0NDUyOTY= | 2,076 | Issue: Dataset download error | {
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"Hi @XuhuiZhou, thanks for reporting this issue. \r\n\r\nIndeed, the old links are no longer valid (404 Not Found error), and the script must be updated with the new links to Google Drive.",
"It would be nice to update the urls indeed !\r\n\r\nTo do this, you just need to replace the urls in `iwslt2017.py` and th... | 2021-03-18T06:36:06Z | 2021-03-22T11:52:31Z | null | NONE | null | null | {
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For example, `FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnted/texts/zh/en/zh-en.tgz`
Would be nice if we could modify it script and use the new downloadable link? | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2075/comments | https://api.github.com/repos/huggingface/datasets/issues/2075/events | https://github.com/huggingface/datasets/issues/2075 | 834,301,246 | MDU6SXNzdWU4MzQzMDEyNDY= | 2,075 | ConnectionError: Couldn't reach common_voice.py | {
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"Hi @LifaSun, thanks for reporting this issue.\r\n\r\nSometimes, GitHub has some connectivity problems. Could you confirm that the problem persists?",
"@albertvillanova Thanks! It works well now. "
] | 2021-03-18T01:19:06Z | 2021-03-20T10:29:41Z | 2021-03-20T10:29:41Z | NONE | null | null | {
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from datasets import load_dataset, load_metric
common_voice_train = load_dataset("common_voice", "zh-CN", split="train+validation")
common_voice_test = load_dataset("common_voice", "zh-CN", split="test")
Got:
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https://api.github.com/repos/huggingface/datasets/issues/2074 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2074/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2074/comments | https://api.github.com/repos/huggingface/datasets/issues/2074/events | https://github.com/huggingface/datasets/pull/2074 | 834,268,463 | MDExOlB1bGxSZXF1ZXN0NTk1MTIzMjYw | 2,074 | Fix size categories in YAML Tags | {
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"> It would be great if there was a way to make the task categories consistent too. For this, the streamlit app can look into all the datasets and check for existing categories and show them in the list. This may add some consistency.\r\n\r\nWe can also update the task lists here: https://github.com/huggingface/dat... | 2021-03-18T00:02:36Z | 2021-03-23T17:11:10Z | 2021-03-23T17:11:10Z | CONTRIBUTOR | null | null | null | null | This PR fixes several `size_categories` in YAML tags and makes them consistent. Additionally, I have added a few more categories after `1M`, up to `1T`. I would like to add that to the streamlit app also.
This PR also adds a couple of infos that I found missing.
The code for generating this:
```python
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https://api.github.com/repos/huggingface/datasets/issues/2073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2073/comments | https://api.github.com/repos/huggingface/datasets/issues/2073/events | https://github.com/huggingface/datasets/pull/2073 | 834,192,501 | MDExOlB1bGxSZXF1ZXN0NTk1MDYyMzQ2 | 2,073 | Fixes check of TF_AVAILABLE and TORCH_AVAILABLE | {
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This PR implements the checks if `Tensorflow` and `Pytorch` are available the same way as `transformers` does it. I added the additional checks for the different `Tensorflow` and `torch` versions. #2068 | {
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https://api.github.com/repos/huggingface/datasets/issues/2072 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2072/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2072/comments | https://api.github.com/repos/huggingface/datasets/issues/2072/events | https://github.com/huggingface/datasets/pull/2072 | 834,054,837 | MDExOlB1bGxSZXF1ZXN0NTk0OTQ5NjA4 | 2,072 | Fix docstring issues | {
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"I think I will stop pushing to this PR, so that it can me merged for today release. \r\n\r\nI will open another PR for further fixing docs.\r\n\r\nDo you agree, @lhoestq ?",
"Sounds good thanks !"
] | 2021-03-17T18:13:44Z | 2021-03-24T08:20:57Z | 2021-03-18T12:41:21Z | MEMBER | null | null | null | null | Fix docstring issues. | {
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https://api.github.com/repos/huggingface/datasets/issues/2071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2071/comments | https://api.github.com/repos/huggingface/datasets/issues/2071/events | https://github.com/huggingface/datasets/issues/2071 | 833,950,824 | MDU6SXNzdWU4MzM5NTA4MjQ= | 2,071 | Multiprocessing is slower than single process | {
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"dupe of #1992"
] | 2021-03-17T16:08:58Z | 2021-03-18T09:10:23Z | 2021-03-18T09:10:23Z | CONTRIBUTOR | null | null | {
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# benchmark_filter.py
import logging
import sys
import time
from datasets import load_dataset, set_caching_enabled
if __name__ == "__main__":
set_caching_enabled(False)
logging.basicConfig(level=logging.DEBUG)
bc = load_dataset("bookcorpus")
now = time.time()
try:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2070/comments | https://api.github.com/repos/huggingface/datasets/issues/2070/events | https://github.com/huggingface/datasets/issues/2070 | 833,799,035 | MDU6SXNzdWU4MzM3OTkwMzU= | 2,070 | ArrowInvalid issue for squad v2 dataset | {
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"Hi ! This error happens when you use `map` in batched mode and then your function doesn't return the same number of values per column.\r\n\r\nIndeed since you're using `map` in batched mode, `prepare_validation_features` must take a batch as input (i.e. a dictionary of multiple rows of the dataset), and return a b... | 2021-03-17T13:51:49Z | 2021-08-04T17:57:16Z | 2021-08-04T17:57:16Z | NONE | null | null | {
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In the prepare_validation_features function, I made some modifications to tokenize a new set of quesions with the original co... | {
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https://api.github.com/repos/huggingface/datasets/issues/2069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2069/comments | https://api.github.com/repos/huggingface/datasets/issues/2069/events | https://github.com/huggingface/datasets/pull/2069 | 833,768,926 | MDExOlB1bGxSZXF1ZXN0NTk0NzA5ODYw | 2,069 | Add and fix docstring for NamedSplit | {
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"Maybe we should add some other split classes?"
] | 2021-03-17T13:19:28Z | 2021-03-18T10:27:40Z | 2021-03-18T10:27:40Z | MEMBER | null | null | null | null | Add and fix docstring for `NamedSplit`, which was missing. | {
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https://api.github.com/repos/huggingface/datasets/issues/2068 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2068/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2068/comments | https://api.github.com/repos/huggingface/datasets/issues/2068/events | https://github.com/huggingface/datasets/issues/2068 | 833,602,832 | MDU6SXNzdWU4MzM2MDI4MzI= | 2,068 | PyTorch not available error on SageMaker GPU docker though it is installed | {
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"cc @philschmid ",
"Hey @sivakhno,\r\n\r\nhow does your `requirements.txt` look like to install the `datasets` library and which version of it are you running? Can you try to install `datasets>=1.4.0`",
"Hi @philschmid - thanks for suggestion. I am using `datasets==1.4.1`. \r\nI have also tried using `torch=1.6... | 2021-03-17T10:04:27Z | 2021-06-14T04:47:30Z | 2021-06-14T04:47:30Z | NONE | null | null | {
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```
File "main.py", line 34, in <module>
run_training()
File "main.py", line 25, in run_training
dm.setup('fit')
File "/opt/conda/lib/python3.6/site-packages/pytorch_lightning/core/datamodule.py", line 92, in wrapped_fn
return fn(*a... | {
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https://api.github.com/repos/huggingface/datasets/issues/2067 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2067/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2067/comments | https://api.github.com/repos/huggingface/datasets/issues/2067/events | https://github.com/huggingface/datasets/issues/2067 | 833,559,940 | MDU6SXNzdWU4MzM1NTk5NDA= | 2,067 | Multiprocessing windows error | {
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"Hi ! Thanks for reporting.\r\nThis looks like a bug, could you try to provide a minimal code example that reproduces the issue ? This would be very helpful !\r\n\r\nOtherwise I can try to run the wav2vec2 code above on my side but probably not this week..",
"```\r\nfrom datasets import load_dataset\r\n\r\ndatase... | 2021-03-17T09:12:28Z | 2021-08-04T17:59:08Z | 2021-08-04T17:59:08Z | CONTRIBUTOR | null | null | {
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When using the num_proc argument on windows the whole Python environment crashes and hanging in loop.
For example at the map_to_array part.
An error occures because the cache file already exists and windows throws and error. After this the log c... | {
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https://api.github.com/repos/huggingface/datasets/issues/2066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2066/comments | https://api.github.com/repos/huggingface/datasets/issues/2066/events | https://github.com/huggingface/datasets/pull/2066 | 833,480,551 | MDExOlB1bGxSZXF1ZXN0NTk0NDcwMjEz | 2,066 | Fix docstring rendering of Dataset/DatasetDict.from_csv args | {
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https://api.github.com/repos/huggingface/datasets/issues/2065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2065/comments | https://api.github.com/repos/huggingface/datasets/issues/2065/events | https://github.com/huggingface/datasets/issues/2065 | 833,291,432 | MDU6SXNzdWU4MzMyOTE0MzI= | 2,065 | Only user permission of saved cache files, not group | {
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"Hi ! Thanks for reporting.\r\n\r\nCurrently there's no way to specify this.\r\n\r\nWhen loading/processing a dataset, the arrow file is written using a temporary file. Then once writing is finished, it's moved to the cache directory (using `shutil.move` [here](https://github.com/huggingface/datasets/blob/f6b8251eb... | 2021-03-17T00:20:22Z | 2023-03-31T12:17:06Z | 2021-05-10T06:45:29Z | NONE | null | null | {
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It seems when a cached file is saved from calling `dataset.map` for preprocessing, it gets the user permissions and none of the user's group permissions. As we share data files across members of our team, this is causing a bit of an issue as we have to continually reset the permission of the files. Do you kno... | {
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https://api.github.com/repos/huggingface/datasets/issues/2064 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2064/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2064/comments | https://api.github.com/repos/huggingface/datasets/issues/2064/events | https://github.com/huggingface/datasets/pull/2064 | 833,002,360 | MDExOlB1bGxSZXF1ZXN0NTk0MDczOTQ1 | 2,064 | Fix ted_talks_iwslt version error | {
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Fixes #2059 | {
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https://api.github.com/repos/huggingface/datasets/issues/2063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2063/comments | https://api.github.com/repos/huggingface/datasets/issues/2063/events | https://github.com/huggingface/datasets/pull/2063 | 832,993,705 | MDExOlB1bGxSZXF1ZXN0NTk0MDY2NzI5 | 2,063 | [Common Voice] Adapt dataset script so that no manual data download is actually needed | {
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https://api.github.com/repos/huggingface/datasets/issues/2062 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2062/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2062/comments | https://api.github.com/repos/huggingface/datasets/issues/2062/events | https://github.com/huggingface/datasets/pull/2062 | 832,625,483 | MDExOlB1bGxSZXF1ZXN0NTkzNzUyNTMz | 2,062 | docs: fix missing quotation | {
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https://api.github.com/repos/huggingface/datasets/issues/2061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2061/comments | https://api.github.com/repos/huggingface/datasets/issues/2061/events | https://github.com/huggingface/datasets/issues/2061 | 832,596,228 | MDU6SXNzdWU4MzI1OTYyMjg= | 2,061 | Cannot load udpos subsets from xtreme dataset using load_dataset() | {
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"@lhoestq Adding \"_\" to the class labels in the dataset script will fix the issue.\r\n\r\nThe bigger issue IMO is that the data files are in conll format, but the examples are tokens, not sentences.",
"Hi ! Thanks for reporting @adzcodez \r\n\r\n\r\n> @lhoestq Adding \"_\" to the class labels in the dataset scr... | 2021-03-16T09:32:13Z | 2021-06-18T11:54:11Z | 2021-06-18T11:54:10Z | NONE | null | null | {
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I am trying to load the udpos English subset from xtreme dataset, but this faces an error during loading. I am using datasets v1.4.1, pip install. I have tried with other udpos languages which also fail, though loading a different subset altogether (such as XNLI) has no issue. I have also tried on Colab and ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2060/comments | https://api.github.com/repos/huggingface/datasets/issues/2060/events | https://github.com/huggingface/datasets/pull/2060 | 832,588,591 | MDExOlB1bGxSZXF1ZXN0NTkzNzIxNzcx | 2,060 | Filtering refactor | {
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"I thought at first that the multiproc test was not relevant now that we do stuff only in memory, but I think there's something that's actually broken, my tiny benchmark on bookcorpus runs forever (2hrs+) when I add `num_proc=4` as a kwarg, will investigate 👀 \r\n\r\nI'm not familiar with the caching you describe ... | 2021-03-16T09:23:30Z | 2023-09-24T09:52:57Z | 2021-10-13T09:09:03Z | CONTRIBUTOR | null | null | null | null | fix https://github.com/huggingface/datasets/issues/2032
benchmarking is somewhat inconclusive, currently running on `book_corpus` with:
```python
bc = load_dataset("bookcorpus")
now = time.time()
bc.filter(lambda x: len(x["text"]) < 64)
elapsed = time.time() - now
print(elapsed)
```
t... | {
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https://api.github.com/repos/huggingface/datasets/issues/2059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2059/comments | https://api.github.com/repos/huggingface/datasets/issues/2059/events | https://github.com/huggingface/datasets/issues/2059 | 832,579,156 | MDU6SXNzdWU4MzI1NzkxNTY= | 2,059 | Error while following docs to load the `ted_talks_iwslt` dataset | {
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"@skyprince999 as you authored the PR for this dataset, any comments?",
"This has been fixed in #2064 by @mariosasko (thanks again !)\r\n\r\nThe fix is available on the master branch and we'll do a new release very soon :)"
] | 2021-03-16T09:12:19Z | 2021-03-16T18:00:31Z | 2021-03-16T18:00:07Z | NONE | null | null | {
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} | I am currently trying to load the `ted_talks_iwslt` dataset into google colab.
The [docs](https://huggingface.co/datasets/ted_talks_iwslt) mention the following way of doing so.
```python
dataset = load_dataset("ted_talks_iwslt", language_pair=("it", "pl"), year="2014")
```
Executing it results in the error ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2058/comments | https://api.github.com/repos/huggingface/datasets/issues/2058/events | https://github.com/huggingface/datasets/issues/2058 | 832,159,844 | MDU6SXNzdWU4MzIxNTk4NDQ= | 2,058 | Is it possible to convert a `tfds` to HuggingFace `dataset`? | {
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"Hi! You can either save the TF dataset to one of the formats supported by datasets (`parquet`, `csv`, `json`, ...) or pass a generator function to `Dataset.from_generator` that yields its examples."
] | 2021-03-15T20:18:47Z | 2023-07-25T16:47:40Z | 2023-07-25T16:47:40Z | CONTRIBUTOR | null | null | {
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} | I was having some weird bugs with `C4`dataset version of HuggingFace, so I decided to try to download `C4`from `tfds`. I would like to know if it is possible to convert a tfds dataset to HuggingFace dataset format :)
I can also open a new issue reporting the bug I'm receiving with `datasets.load_dataset('c4','en')` ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2057/comments | https://api.github.com/repos/huggingface/datasets/issues/2057/events | https://github.com/huggingface/datasets/pull/2057 | 832,120,522 | MDExOlB1bGxSZXF1ZXN0NTkzMzMzMjM0 | 2,057 | update link to ZEST dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/2056 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2056/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2056/comments | https://api.github.com/repos/huggingface/datasets/issues/2056/events | https://github.com/huggingface/datasets/issues/2056 | 831,718,397 | MDU6SXNzdWU4MzE3MTgzOTc= | 2,056 | issue with opus100/en-fr dataset | {
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"@lhoestq I also deleted the cache and redownload the file and still the same issue, I appreciate any help on this. thanks ",
"Here please find the minimal code to reproduce the issue @lhoestq note this only happens with MT5TokenizerFast\r\n\r\n```\r\nfrom datasets import load_dataset\r\nfrom transformers impor... | 2021-03-15T11:32:42Z | 2021-03-16T15:49:00Z | 2021-03-16T15:48:59Z | NONE | null | null | {
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I am running run_mlm.py code of huggingface repo with opus100/fr-en pair, I am getting this error, note that this error occurs for only this pairs and not the other pairs. Any idea why this is occurring? and how I can solve this?
Thanks a lot @lhoestq for your help in advance.
`
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"Hi\r\nYou can rename the arrow file and update the name in `state.json`",
"I tried this way, but when there is a mapping process to the dataset, it again uses a random cache name. atm, I am trying to use the following method by setting an exact cache file,\r\n\r\n```\r\n dataset_with_embedding =csv_da... | 2021-03-15T10:50:53Z | 2021-03-22T04:06:17Z | 2021-03-22T04:06:17Z | NONE | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2054/comments | https://api.github.com/repos/huggingface/datasets/issues/2054/events | https://github.com/huggingface/datasets/issues/2054 | 831,597,665 | MDU6SXNzdWU4MzE1OTc2NjU= | 2,054 | Could not find file for ZEST dataset | {
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"id": 2067388877,
"name": "dataset bug",
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"The zest dataset url was changed (allenai/zest#3) and #2057 should resolve this.",
"This has been fixed in #2057 by @matt-peters (thanks again !)\r\n\r\nThe fix is available on the master branch and we'll do a new release very soon :)",
"Thanks @lhoestq and @matt-peters ",
"I am closing this issue since its ... | 2021-03-15T09:11:58Z | 2021-05-03T09:30:24Z | 2021-05-03T09:30:24Z | CONTRIBUTOR | null | null | {
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} | I am trying to use zest dataset from Allen AI using below code in colab,
```
!pip install -q datasets
from datasets import load_dataset
dataset = load_dataset("zest")
```
I am getting the following error,
```
Using custom data configuration default
Downloading and preparing dataset zest/default (download: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2053/comments | https://api.github.com/repos/huggingface/datasets/issues/2053/events | https://github.com/huggingface/datasets/pull/2053 | 831,151,728 | MDExOlB1bGxSZXF1ZXN0NTkyNTM4ODY2 | 2,053 | Add bAbI QA tasks | {
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"Hi @lhoestq,\r\n\r\nShould I remove the 160 configurations? Is it too much?\r\n\r\nEDIT:\r\nCan you also check the task category? I'm not sure if there is an appropriate tag for the same.",
"Thanks for the changes !\r\n\r\n> Should I remove the 160 configurations? Is it too much?\r\n\r\nYea 160 configuration is ... | 2021-03-14T13:04:39Z | 2021-03-29T12:41:48Z | 2021-03-29T12:41:48Z | CONTRIBUTOR | null | null | null | null | - **Name:** *The (20) QA bAbI tasks*
- **Description:** *The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading comprehension via question answering. Our tasks measure understanding in several ways: whether a system is able to answer questions via chaining facts, simple induction, deduction and many mor... | {
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https://api.github.com/repos/huggingface/datasets/issues/2052 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2052/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2052/comments | https://api.github.com/repos/huggingface/datasets/issues/2052/events | https://github.com/huggingface/datasets/issues/2052 | 831,135,704 | MDU6SXNzdWU4MzExMzU3MDQ= | 2,052 | Timit_asr dataset repeats examples | {
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"Hi,\r\n\r\nthis was fixed by #1995, so you can wait for the next release or install the package directly from the master branch with the following command: \r\n```bash\r\npip install git+https://github.com/huggingface/datasets\r\n```",
"Ty!"
] | 2021-03-14T11:43:43Z | 2021-03-15T10:37:16Z | 2021-03-15T10:37:16Z | NONE | null | null | {
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} | Summary
When loading timit_asr dataset on datasets 1.4+, every row in the dataset is the same
Steps to reproduce
As an example, on this code there is the text from the training part:
Code snippet:
```
from datasets import load_dataset, load_metric
timit = load_dataset("timit_asr")
timit['train']['text']... | {
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https://api.github.com/repos/huggingface/datasets/issues/2051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2051/comments | https://api.github.com/repos/huggingface/datasets/issues/2051/events | https://github.com/huggingface/datasets/pull/2051 | 831,027,021 | MDExOlB1bGxSZXF1ZXN0NTkyNDQ2MDU1 | 2,051 | Add MDD Dataset | {
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"Hi @lhoestq,\r\n\r\nI have added changes from review.",
"Thanks for approving :)"
] | 2021-03-14T00:01:05Z | 2021-03-19T11:15:44Z | 2021-03-19T10:31:59Z | CONTRIBUTOR | null | null | null | null | - **Name:** *MDD Dataset*
- **Description:** The Movie Dialog dataset (MDD) is designed to measure how well models can perform at goal and non-goal orientated dialog centered around the topic of movies (question answering, recommendation and discussion), from various movie reviews sources such as MovieLens and OMDb.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2050 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2050/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2050/comments | https://api.github.com/repos/huggingface/datasets/issues/2050/events | https://github.com/huggingface/datasets/issues/2050 | 831,006,551 | MDU6SXNzdWU4MzEwMDY1NTE= | 2,050 | Build custom dataset to fine-tune Wav2Vec2 | {
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"@lhoestq - We could simply use the \"general\" json dataset for this no? ",
"Sure you can use the json loader\r\n```python\r\ndata_files = {\"train\": \"path/to/your/train_data.json\", \"test\": \"path/to/your/test_data.json\"}\r\ntrain_dataset = load_dataset(\"json\", data_files=data_files, split=\"train\")\r\n... | 2021-03-13T22:01:10Z | 2021-03-15T09:27:28Z | 2021-03-15T09:27:28Z | NONE | null | null | {
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} | Thank you for your recent tutorial on how to finetune Wav2Vec2 on a custom dataset. The example you gave here (https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) was on the CommonVoice dataset. However, what if I want to load my own dataset? I have a manifest (transcript and their audio files) in a JSON file.
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https://api.github.com/repos/huggingface/datasets/issues/2049 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2049/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2049/comments | https://api.github.com/repos/huggingface/datasets/issues/2049/events | https://github.com/huggingface/datasets/pull/2049 | 830,978,687 | MDExOlB1bGxSZXF1ZXN0NTkyNDE2MzQ0 | 2,049 | Fix text-classification tags | {
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"LGTM, thanks for fixing."
] | 2021-03-13T19:51:42Z | 2021-03-16T15:47:46Z | 2021-03-16T15:47:46Z | CONTRIBUTOR | null | null | null | null | There are different tags for text classification right now: `text-classification` and `text_classification`:
.
This PR fixes it.
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https://api.github.com/repos/huggingface/datasets/issues/2048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2048/comments | https://api.github.com/repos/huggingface/datasets/issues/2048/events | https://github.com/huggingface/datasets/issues/2048 | 830,953,431 | MDU6SXNzdWU4MzA5NTM0MzE= | 2,048 | github is not always available - probably need a back up | {
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```
:/tmp$ wget https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py--2021-03-12 18:35:59-- https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py
Resolving raw.githubusercontent.com (raw.githubuser... | {
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https://api.github.com/repos/huggingface/datasets/issues/2047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2047/comments | https://api.github.com/repos/huggingface/datasets/issues/2047/events | https://github.com/huggingface/datasets/pull/2047 | 830,626,430 | MDExOlB1bGxSZXF1ZXN0NTkyMTI2NzQ3 | 2,047 | Multilingual dIalogAct benchMark (miam) | {
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"Hello. All aforementioned changes have been made. I've also re-run black on miam.py. :-)",
"I will run isort again. Hopefully it resolves the current check_code_quality test failure.",
"Once the review period is over, feel free to open a PR to add all the missing information ;)",
"Hi! I will follow up right ... | 2021-03-12T23:02:55Z | 2021-03-23T10:36:34Z | 2021-03-19T10:47:13Z | CONTRIBUTOR | null | null | null | null | My collaborators (@EmileChapuis, @PierreColombo) and I within the Affective Computing team at Telecom Paris would like to anonymously publish the miam dataset. It is assocated with a publication currently under review. We will update the dataset with full citations once the review period is over. | {
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https://api.github.com/repos/huggingface/datasets/issues/2046 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2046/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2046/comments | https://api.github.com/repos/huggingface/datasets/issues/2046/events | https://github.com/huggingface/datasets/issues/2046 | 830,423,033 | MDU6SXNzdWU4MzA0MjMwMzM= | 2,046 | add_faisis_index gets very slow when doing it interatively | {
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"I think faiss automatically sets the number of threads to use to build the index.\r\nCan you check how many CPU cores are being used when you build the index in `use_own_knowleldge_dataset` as compared to this script ? Are there other programs running (maybe for rank>0) ?",
"Hi,\r\n I am running the add_faiss_in... | 2021-03-12T20:27:18Z | 2021-03-24T22:29:11Z | 2021-03-24T22:29:11Z | NONE | null | null | {
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} | As the below code suggests, I want to run add_faisis_index in every nth interaction from the training loop. I have 7.2 million documents. Usually, it takes 2.5 hours (if I run an as a separate process similar to the script given in rag/use_own_knowleldge_dataset.py). Now, this takes usually 5hrs. Is this normal? Any ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2045 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2045/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2045/comments | https://api.github.com/repos/huggingface/datasets/issues/2045/events | https://github.com/huggingface/datasets/pull/2045 | 830,351,527 | MDExOlB1bGxSZXF1ZXN0NTkxODc2Mjcz | 2,045 | Preserve column ordering in Dataset.rename_column | {
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"Not sure why CI isn't triggered.\r\n\r\n@lhoestq Can you please help me with this? ",
"I don't know how to trigger it manually, but an empty commit should do the job"
] | 2021-03-12T18:26:47Z | 2021-03-16T14:48:05Z | 2021-03-16T14:35:05Z | COLLABORATOR | null | null | null | null | Currently `Dataset.rename_column` doesn't necessarily preserve the order of the columns:
```python
>>> from datasets import Dataset
>>> d = Dataset.from_dict({'sentences': ["s1", "s2"], 'label': [0, 1]})
>>> d
Dataset({
features: ['sentences', 'label'],
num_rows: 2
})
>>> d.rename_column('sentences', '... | {
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https://api.github.com/repos/huggingface/datasets/issues/2044 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2044/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2044/comments | https://api.github.com/repos/huggingface/datasets/issues/2044/events | https://github.com/huggingface/datasets/pull/2044 | 830,339,905 | MDExOlB1bGxSZXF1ZXN0NTkxODY2NzM1 | 2,044 | Add CBT dataset | {
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"Hi @lhoestq,\r\n\r\nI have added changes from the review.",
"Thanks for approving @lhoestq "
] | 2021-03-12T18:04:19Z | 2021-03-19T11:10:13Z | 2021-03-19T10:29:15Z | CONTRIBUTOR | null | null | null | null | This PR adds the [CBT Dataset](https://arxiv.org/abs/1511.02301).
Note that I have also added the `raw` dataset as a separate configuration. I couldn't find a suitable "task" for it in YAML tags.
The dummy files have one example each, as the examples are slightly big. For `raw` dataset, I just used top few lines,... | {
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