id int64 599M 3.26B | number int64 1 7.7k | title stringlengths 1 290 | body stringlengths 0 228k ⌀ | state stringclasses 2
values | html_url stringlengths 46 51 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-07-23 08:04:53 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-07-23 18:53:44 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-07-23 16:44:42 ⌀ | user dict | labels listlengths 0 4 | is_pull_request bool 2
classes | comments listlengths 0 0 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
815,985,167 | 1,941 | Loading of FAISS index fails for index_name = 'exact' | Hi,
It looks like loading of FAISS index now fails when using index_name = 'exact'.
For example, from the RAG [model card](https://huggingface.co/facebook/rag-token-nq?fbclid=IwAR3bTfhls5U_t9DqsX2Vzb7NhtRHxJxfQ-uwFT7VuCPMZUM2AdAlKF_qkI8#usage).
Running `transformers==4.3.2` and datasets installed from source o... | closed | https://github.com/huggingface/datasets/issues/1941 | 2021-02-25T01:30:54 | 2021-02-25T14:28:46 | 2021-02-25T14:28:46 | {
"login": "mkserge",
"id": 2992022,
"type": "User"
} | [] | false | [] |
815,770,012 | 1,940 | Side effect when filtering data due to `does_function_return_dict` call in `Dataset.map()` | Hi there!
In my codebase I have a function to filter rows in a dataset, selecting only a certain number of examples per class. The function passes a extra argument to maintain a counter of the number of dataset rows/examples already selected per each class, which are the ones I want to keep in the end:
```python
... | closed | https://github.com/huggingface/datasets/issues/1940 | 2021-02-24T19:18:56 | 2021-03-23T15:26:49 | 2021-03-23T15:26:49 | {
"login": "francisco-perez-sorrosal",
"id": 918006,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
815,680,510 | 1,939 | [firewalled env] OFFLINE mode | This issue comes from a need to be able to run `datasets` in a firewalled env, which currently makes the software hang until it times out, as it's unable to complete the network calls.
I propose the following approach to solving this problem, using the example of `run_seq2seq.py` as a sample program. There are 2 pos... | closed | https://github.com/huggingface/datasets/issues/1939 | 2021-02-24T17:13:42 | 2021-03-05T05:09:54 | 2021-03-05T05:09:54 | {
"login": "stas00",
"id": 10676103,
"type": "User"
} | [] | false | [] |
815,647,774 | 1,938 | Disallow ClassLabel with no names | It was possible to create a ClassLabel without specifying the names or the number of classes.
This was causing silent issues as in #1936 and breaking the conversion methods str2int and int2str.
cc @justin-yan | closed | https://github.com/huggingface/datasets/pull/1938 | 2021-02-24T16:37:57 | 2021-02-25T11:27:29 | 2021-02-25T11:27:29 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
815,163,943 | 1,937 | CommonGen dataset page shows an error OSError: [Errno 28] No space left on device | The page of the CommonGen data https://huggingface.co/datasets/viewer/?dataset=common_gen shows
| closed | https://github.com/huggingface/datasets/issues/1937 | 2021-02-24T06:47:33 | 2021-02-26T11:10:06 | 2021-02-26T11:10:06 | {
"login": "yuchenlin",
"id": 10104354,
"type": "User"
} | [
{
"name": "nlp-viewer",
"color": "94203D"
}
] | false | [] |
814,726,512 | 1,936 | [WIP] Adding Support for Reading Pandas Category | @lhoestq - continuing our conversation from https://github.com/huggingface/datasets/issues/1906#issuecomment-784247014
The goal of this PR is to support `Dataset.from_pandas(df)` where the dataframe contains a Category.
Just the 4 line change below actually does seem to work:
```
>>> from datasets import Data... | closed | https://github.com/huggingface/datasets/pull/1936 | 2021-02-23T18:32:54 | 2022-03-09T18:46:22 | 2022-03-09T18:46:22 | {
"login": "justin-yan",
"id": 7731709,
"type": "User"
} | [] | true | [] |
814,623,827 | 1,935 | add CoVoST2 | This PR adds the CoVoST2 dataset for speech translation and ASR.
https://github.com/facebookresearch/covost#covost-2
The dataset requires manual download as the download page requests an email address and the URLs are temporary.
The dummy data is a bit bigger because of the mp3 files and 36 configs. | closed | https://github.com/huggingface/datasets/pull/1935 | 2021-02-23T16:28:16 | 2021-02-24T18:09:32 | 2021-02-24T18:05:09 | {
"login": "patil-suraj",
"id": 27137566,
"type": "User"
} | [] | true | [] |
814,437,190 | 1,934 | Add Stanford Sentiment Treebank (SST) | I am going to add SST:
- **Name:** The Stanford Sentiment Treebank
- **Description:** The first corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language
- **Paper:** [Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank... | closed | https://github.com/huggingface/datasets/issues/1934 | 2021-02-23T12:53:16 | 2021-03-18T17:51:44 | 2021-03-18T17:51:44 | {
"login": "patpizio",
"id": 15801338,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
814,335,846 | 1,933 | Use arrow ipc file format | According to the [documentation](https://arrow.apache.org/docs/format/Columnar.html?highlight=arrow1#ipc-file-format), it's identical to the streaming format except that it contains the memory offsets of each sample:
> We define a “file format” supporting random access that is build with the stream format. The file ... | closed | https://github.com/huggingface/datasets/pull/1933 | 2021-02-23T10:38:24 | 2023-10-30T16:20:19 | 2023-09-25T09:20:38 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
814,326,116 | 1,932 | Fix builder config creation with data_dir | The data_dir parameter wasn't taken into account to create the config_id, therefore the resulting builder config was considered not custom. However a builder config that is non-custom must not have a name that collides with the predefined builder config names. Therefore it resulted in a `ValueError("Cannot name a custo... | closed | https://github.com/huggingface/datasets/pull/1932 | 2021-02-23T10:26:02 | 2021-02-23T10:45:28 | 2021-02-23T10:45:27 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
814,225,074 | 1,931 | add m_lama (multilingual lama) dataset | Add a multilingual (machine translated and automatically generated) version of the LAMA benchmark. For details see the paper https://arxiv.org/pdf/2102.00894.pdf | closed | https://github.com/huggingface/datasets/pull/1931 | 2021-02-23T08:11:57 | 2021-03-01T10:01:03 | 2021-03-01T10:01:03 | {
"login": "pdufter",
"id": 13961899,
"type": "User"
} | [] | true | [] |
814,055,198 | 1,930 | updated the wino_bias dataset | Updated the wino_bias.py script.
- updated the data_url
- added different configurations for different data splits
- added the coreference_cluster to the data features | closed | https://github.com/huggingface/datasets/pull/1930 | 2021-02-23T03:07:40 | 2021-04-07T15:24:56 | 2021-04-07T15:24:56 | {
"login": "JieyuZhao",
"id": 22306304,
"type": "User"
} | [] | true | [] |
813,929,669 | 1,929 | Improve typing and style and fix some inconsistencies | This PR:
* improves typing (mostly more consistent use of `typing.Optional`)
* `DatasetDict.cleanup_cache_files` now correctly returns a dict
* replaces `dict()` with the corresponding literal
* uses `dict_to_copy.copy()` instead of `dict(dict_to_copy)` for shallow copying | closed | https://github.com/huggingface/datasets/pull/1929 | 2021-02-22T22:47:41 | 2021-02-24T16:16:14 | 2021-02-24T14:03:54 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
813,793,434 | 1,928 | Updating old cards | Updated the cards for [Allocine](https://github.com/mcmillanmajora/datasets/tree/updating-old-cards/datasets/allocine), [CNN/DailyMail](https://github.com/mcmillanmajora/datasets/tree/updating-old-cards/datasets/cnn_dailymail), and [SNLI](https://github.com/mcmillanmajora/datasets/tree/updating-old-cards/datasets/snli)... | closed | https://github.com/huggingface/datasets/pull/1928 | 2021-02-22T19:26:04 | 2021-02-23T18:19:25 | 2021-02-23T18:19:25 | {
"login": "mcmillanmajora",
"id": 26722925,
"type": "User"
} | [] | true | [] |
813,768,935 | 1,927 | Update dataset card of wino_bias | Updated the info for the wino_bias dataset. | closed | https://github.com/huggingface/datasets/pull/1927 | 2021-02-22T18:51:34 | 2022-09-23T13:35:09 | 2022-09-23T13:35:08 | {
"login": "JieyuZhao",
"id": 22306304,
"type": "User"
} | [
{
"name": "dataset contribution",
"color": "0e8a16"
}
] | true | [] |
813,607,994 | 1,926 | Fix: Wiki_dpr - add missing scalar quantizer | All the prebuilt wiki_dpr indexes already use SQ8, I forgot to update the wiki_dpr script after building them. Now it's finally done.
The scalar quantizer SQ8 doesn't reduce the performance of the index as shown in retrieval experiments on RAG.
The quantizer reduces the size of the index a lot but increases index b... | closed | https://github.com/huggingface/datasets/pull/1926 | 2021-02-22T15:32:05 | 2021-02-22T15:49:54 | 2021-02-22T15:49:53 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
813,600,902 | 1,925 | Fix: Wiki_dpr - fix when with_embeddings is False or index_name is "no_index" | Fix the bugs noticed in #1915
There was a bug when `with_embeddings=False` where the configuration name was the same as if `with_embeddings=True`, which led the dataset builder to do bad verifications (for example it used to expect to download the embeddings for `with_embeddings=False`).
Another issue was that s... | closed | https://github.com/huggingface/datasets/pull/1925 | 2021-02-22T15:23:46 | 2021-02-25T01:33:48 | 2021-02-22T15:36:08 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
813,599,733 | 1,924 | Anonymous Dataset Addition (i.e Anonymous PR?) | Hello,
Thanks a lot for your librairy.
We plan to submit a paper on OpenReview using the Anonymous setting. Is it possible to add a new dataset without breaking the anonimity, with a link to the paper ?
Cheers
@eusip | closed | https://github.com/huggingface/datasets/issues/1924 | 2021-02-22T15:22:30 | 2022-10-05T13:07:11 | 2022-10-05T13:07:11 | {
"login": "PierreColombo",
"id": 22492839,
"type": "User"
} | [] | false | [] |
813,363,472 | 1,923 | Fix save_to_disk with relative path | As noticed in #1919 and #1920 the target directory was not created using `makedirs` so saving to it raises `FileNotFoundError`. For absolute paths it works but not for the good reason. This is because the target path was the same as the temporary path where in-memory data are written as an intermediary step.
I added... | closed | https://github.com/huggingface/datasets/pull/1923 | 2021-02-22T10:27:19 | 2021-02-22T11:22:44 | 2021-02-22T11:22:43 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
813,140,806 | 1,922 | How to update the "wino_bias" dataset | Hi all,
Thanks for the efforts to collect all the datasets! But I think there is a problem with the wino_bias dataset. The current link is not correct. How can I update that?
Thanks! | open | https://github.com/huggingface/datasets/issues/1922 | 2021-02-22T05:39:39 | 2021-02-22T10:35:59 | null | {
"login": "JieyuZhao",
"id": 22306304,
"type": "User"
} | [] | false | [] |
812,716,042 | 1,921 | Standardizing datasets dtypes | This PR follows up on discussion in #1900 to have an explicit set of basic dtypes for datasets.
This moves away from str(pyarrow.DataType) as the method of choice for creating dtypes, favoring an explicit mapping to a list of supported Value dtypes.
I believe in practice this should be backward compatible, since ... | closed | https://github.com/huggingface/datasets/pull/1921 | 2021-02-20T22:04:01 | 2021-02-22T09:44:10 | 2021-02-22T09:44:10 | {
"login": "justin-yan",
"id": 7731709,
"type": "User"
} | [] | true | [] |
812,628,220 | 1,920 | Fix save_to_disk issue | Fixes #1919
| closed | https://github.com/huggingface/datasets/pull/1920 | 2021-02-20T14:22:39 | 2021-02-22T10:30:11 | 2021-02-22T10:30:11 | {
"login": "M-Salti",
"id": 9285264,
"type": "User"
} | [] | true | [] |
812,626,872 | 1,919 | Failure to save with save_to_disk | When I try to save a dataset locally using the `save_to_disk` method I get the error:
```bash
FileNotFoundError: [Errno 2] No such file or directory: '/content/squad/train/squad-train.arrow'
```
To replicate:
1. Install `datasets` from master
2. Run this code:
```python
from datasets import load... | closed | https://github.com/huggingface/datasets/issues/1919 | 2021-02-20T14:18:10 | 2021-03-03T17:40:27 | 2021-03-03T17:40:27 | {
"login": "M-Salti",
"id": 9285264,
"type": "User"
} | [] | false | [] |
812,541,510 | 1,918 | Fix QA4MRE download URLs | The URLs in the `dataset_infos` and `README` are correct, only the ones in the download script needed updating. | closed | https://github.com/huggingface/datasets/pull/1918 | 2021-02-20T07:32:17 | 2021-02-22T13:35:06 | 2021-02-22T13:35:06 | {
"login": "M-Salti",
"id": 9285264,
"type": "User"
} | [] | true | [] |
812,390,178 | 1,917 | UnicodeDecodeError: windows 10 machine | Windows 10
Php 3.6.8
when running
```
import datasets
oscar_am = datasets.load_dataset("oscar", "unshuffled_deduplicated_am")
print(oscar_am["train"][0])
```
I get the following error
```
file "C:\PYTHON\3.6.8\lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.er... | closed | https://github.com/huggingface/datasets/issues/1917 | 2021-02-19T22:13:05 | 2021-02-19T22:41:11 | 2021-02-19T22:40:28 | {
"login": "yosiasz",
"id": 900951,
"type": "User"
} | [] | false | [] |
812,291,984 | 1,916 | Remove unused py_utils objects | Remove unused/unnecessary py_utils functions/classes. | closed | https://github.com/huggingface/datasets/pull/1916 | 2021-02-19T19:51:25 | 2021-02-22T14:56:56 | 2021-02-22T13:32:49 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
812,229,654 | 1,915 | Unable to download `wiki_dpr` | I am trying to download the `wiki_dpr` dataset. Specifically, I want to download `psgs_w100.multiset.no_index` with no embeddings/no index. In order to do so, I ran:
`curr_dataset = load_dataset("wiki_dpr", embeddings_name="multiset", index_name="no_index")`
However, I got the following error:
`datasets.utils.i... | closed | https://github.com/huggingface/datasets/issues/1915 | 2021-02-19T18:11:32 | 2021-03-03T17:40:48 | 2021-03-03T17:40:48 | {
"login": "nitarakad",
"id": 18504534,
"type": "User"
} | [] | false | [] |
812,149,201 | 1,914 | Fix logging imports and make all datasets use library logger | Fix library relative logging imports and make all datasets use library logger. | closed | https://github.com/huggingface/datasets/pull/1914 | 2021-02-19T16:12:34 | 2021-02-21T19:48:03 | 2021-02-21T19:48:03 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
812,127,307 | 1,913 | Add keep_linebreaks parameter to text loader | As asked in #870 and https://github.com/huggingface/transformers/issues/10269 there should be a parameter to keep the linebreaks when loading a text dataset.
cc @sgugger @jncasey | closed | https://github.com/huggingface/datasets/pull/1913 | 2021-02-19T15:43:45 | 2021-02-19T18:36:12 | 2021-02-19T18:36:11 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
812,034,140 | 1,912 | Update: WMT - use mirror links | As asked in #1892 I created mirrors of the data hosted on statmt.org and updated the wmt scripts.
Now downloading the wmt datasets is blazing fast :)
cc @stas00 @patrickvonplaten | closed | https://github.com/huggingface/datasets/pull/1912 | 2021-02-19T13:42:34 | 2021-02-24T13:44:53 | 2021-02-24T13:44:53 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
812,009,956 | 1,911 | Saving processed dataset running infinitely | I have a text dataset of size 220M.
For pre-processing, I need to tokenize this and filter rows with the large sequence.
My tokenization took roughly 3hrs. I used map() with batch size 1024 and multi-process with 96 processes.
filter() function was way to slow, so I used a hack to use pyarrow filter table func... | open | https://github.com/huggingface/datasets/issues/1911 | 2021-02-19T13:09:19 | 2021-02-23T07:34:44 | null | {
"login": "ayubSubhaniya",
"id": 20911334,
"type": "User"
} | [] | false | [] |
811,697,108 | 1,910 | Adding CoNLLpp dataset. | closed | https://github.com/huggingface/datasets/pull/1910 | 2021-02-19T05:12:30 | 2021-03-04T22:02:47 | 2021-03-04T22:02:47 | {
"login": "ZihanWangKi",
"id": 21319243,
"type": "User"
} | [] | true | [] | |
811,520,569 | 1,907 | DBPedia14 Dataset Checksum bug? | Hi there!!!
I've been using successfully the DBPedia dataset (https://huggingface.co/datasets/dbpedia_14) with my codebase in the last couple of weeks, but in the last couple of days now I get this error:
```
Traceback (most recent call last):
File "./conditional_classification/basic_pipeline.py", line 178, i... | closed | https://github.com/huggingface/datasets/issues/1907 | 2021-02-18T22:25:48 | 2021-02-22T23:22:05 | 2021-02-22T23:22:04 | {
"login": "francisco-perez-sorrosal",
"id": 918006,
"type": "User"
} | [] | false | [] |
811,405,274 | 1,906 | Feature Request: Support for Pandas `Categorical` | ```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.Series(["a", "b", "c", "a"], dtype="category"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws NotImplementedError
# TODO(thom) this will need access to the dictionary as well (for labels). I.e. to the py_... | open | https://github.com/huggingface/datasets/issues/1906 | 2021-02-18T19:46:05 | 2021-02-23T14:38:50 | null | {
"login": "justin-yan",
"id": 7731709,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "generic discussion",
"color": "c5def5"
}
] | false | [] |
811,384,174 | 1,905 | Standardizing datasets.dtypes | This PR was further branched off of jdy-str-to-pyarrow-parsing, so it depends on https://github.com/huggingface/datasets/pull/1900 going first for the diff to be up-to-date (I'm not sure if there's a way for me to use jdy-str-to-pyarrow-parsing as a base branch while having it appear in the pull requests here).
This... | closed | https://github.com/huggingface/datasets/pull/1905 | 2021-02-18T19:15:31 | 2021-02-20T22:01:30 | 2021-02-20T22:01:30 | {
"login": "justin-yan",
"id": 7731709,
"type": "User"
} | [] | true | [] |
811,260,904 | 1,904 | Fix to_pandas for boolean ArrayXD | As noticed in #1887 the conversion of a dataset with a boolean ArrayXD feature types fails because of the underlying ListArray conversion to numpy requires `zero_copy_only=False`.
zero copy is available for all primitive types except booleans
see https://arrow.apache.org/docs/python/generated/pyarrow.Array.html#pya... | closed | https://github.com/huggingface/datasets/pull/1904 | 2021-02-18T16:30:46 | 2021-02-18T17:10:03 | 2021-02-18T17:10:01 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
811,145,531 | 1,903 | Initial commit for the addition of TIMIT dataset | Below points needs to be addressed:
- Creation of dummy dataset is failing
- Need to check on the data representation
- License is not creative commons. Copyright: Portions © 1993 Trustees of the University of Pennsylvania
Also the links (_except the download_) point to the ami corpus! ;-)
@patrickvonplaten ... | closed | https://github.com/huggingface/datasets/pull/1903 | 2021-02-18T14:23:12 | 2021-03-01T09:39:12 | 2021-03-01T09:39:12 | {
"login": "vrindaprabhu",
"id": 16264631,
"type": "User"
} | [] | true | [] |
810,931,171 | 1,902 | Fix setimes_2 wmt urls | Continuation of #1901
Some other urls were missing https | closed | https://github.com/huggingface/datasets/pull/1902 | 2021-02-18T09:42:26 | 2021-02-18T09:55:41 | 2021-02-18T09:55:41 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
810,845,605 | 1,901 | Fix OPUS dataset download errors | Replace http to https.
https://github.com/huggingface/datasets/issues/854
https://discuss.huggingface.co/t/cannot-download-wmt16/2081
| closed | https://github.com/huggingface/datasets/pull/1901 | 2021-02-18T07:39:41 | 2021-02-18T15:07:20 | 2021-02-18T09:39:21 | {
"login": "YangWang92",
"id": 3883941,
"type": "User"
} | [] | true | [] |
810,512,488 | 1,900 | Issue #1895: Bugfix for string_to_arrow timestamp[ns] support | Should resolve https://github.com/huggingface/datasets/issues/1895
The main part of this PR adds additional parsing in `string_to_arrow` to convert the timestamp dtypes that result from `str(pa_type)` back into the pa.DataType TimestampType.
While adding unit-testing, I noticed that support for the double/float t... | closed | https://github.com/huggingface/datasets/pull/1900 | 2021-02-17T20:26:04 | 2021-02-19T18:27:11 | 2021-02-19T18:27:11 | {
"login": "justin-yan",
"id": 7731709,
"type": "User"
} | [] | true | [] |
810,308,332 | 1,899 | Fix: ALT - fix duplicated examples in alt-parallel | As noticed in #1898 by @10-zin the examples of the `alt-paralel` configurations have all the same values for the `translation` field.
This was due to a bad copy of a python dict.
This PR fixes that. | closed | https://github.com/huggingface/datasets/pull/1899 | 2021-02-17T15:53:56 | 2021-02-17T17:20:49 | 2021-02-17T17:20:49 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
810,157,251 | 1,898 | ALT dataset has repeating instances in all splits | The [ALT](https://huggingface.co/datasets/alt) dataset has all the same instances within each split :/
Seemed like a great dataset for some experiments I wanted to carry out, especially since its medium-sized, and has all splits.
Would be great if this could be fixed :)
Added a snapshot of the contents from `exp... | closed | https://github.com/huggingface/datasets/issues/1898 | 2021-02-17T12:51:42 | 2021-02-19T06:18:46 | 2021-02-19T06:18:46 | {
"login": "10-zin",
"id": 33179372,
"type": "User"
} | [
{
"name": "dataset bug",
"color": "2edb81"
}
] | false | [] |
810,113,263 | 1,897 | Fix PandasArrayExtensionArray conversion to native type | To make the conversion to csv work in #1887 , we need PandasArrayExtensionArray used for multidimensional numpy arrays to be converted to pandas native types.
However previously pandas.core.internals.ExtensionBlock.to_native_types would fail with an PandasExtensionArray because
1. the PandasExtensionArray.isna metho... | closed | https://github.com/huggingface/datasets/pull/1897 | 2021-02-17T11:48:24 | 2021-02-17T13:15:16 | 2021-02-17T13:15:15 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
809,630,271 | 1,895 | Bug Report: timestamp[ns] not recognized | Repro:
```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.date_range("2018-01-01", periods=3, freq="H"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws ValueError: Neither timestamp[ns] nor timestamp[ns]_ seems to be a pyarrow data type.
```
The fact... | closed | https://github.com/huggingface/datasets/issues/1895 | 2021-02-16T20:38:04 | 2021-02-19T18:27:11 | 2021-02-19T18:27:11 | {
"login": "justin-yan",
"id": 7731709,
"type": "User"
} | [] | false | [] |
809,609,654 | 1,894 | benchmarking against MMapIndexedDataset | I am trying to benchmark my datasets based implementation against fairseq's [`MMapIndexedDataset`](https://github.com/pytorch/fairseq/blob/master/fairseq/data/indexed_dataset.py#L365) and finding that, according to psrecord, my `datasets` implem uses about 3% more CPU memory and runs 1% slower for `wikitext103` (~1GB o... | open | https://github.com/huggingface/datasets/issues/1894 | 2021-02-16T20:04:58 | 2021-02-17T18:52:28 | null | {
"login": "sshleifer",
"id": 6045025,
"type": "User"
} | [] | false | [] |
809,556,503 | 1,893 | wmt19 is broken | 1. Check which lang pairs we have: `--dataset_name wmt19`:
Please pick one among the available configs: ['cs-en', 'de-en', 'fi-en', 'gu-en', 'kk-en', 'lt-en', 'ru-en', 'zh-en', 'fr-de']
2. OK, let's pick `ru-en`:
`--dataset_name wmt19 --dataset_config "ru-en"`
no cookies:
```
Traceback (most recent c... | closed | https://github.com/huggingface/datasets/issues/1893 | 2021-02-16T18:39:58 | 2021-03-03T17:42:02 | 2021-03-03T17:42:02 | {
"login": "stas00",
"id": 10676103,
"type": "User"
} | [
{
"name": "dataset bug",
"color": "2edb81"
}
] | false | [] |
809,554,174 | 1,892 | request to mirror wmt datasets, as they are really slow to download | Would it be possible to mirror the wmt data files under hf? Some of them take hours to download and not because of the local speed. They are all quite small datasets, just extremely slow to download.
Thank you! | closed | https://github.com/huggingface/datasets/issues/1892 | 2021-02-16T18:36:11 | 2021-10-26T06:55:42 | 2021-03-25T11:53:23 | {
"login": "stas00",
"id": 10676103,
"type": "User"
} | [] | false | [] |
809,550,001 | 1,891 | suggestion to improve a missing dataset error | I was using `--dataset_name wmt19` all was good. Then thought perhaps wmt20 is out, so I tried to use `--dataset_name wmt20`, got 3 different errors (1 repeated twice), none telling me the real issue - that `wmt20` isn't in the `datasets`:
```
True, predict_with_generate=True)
Traceback (most recent call last):
... | closed | https://github.com/huggingface/datasets/issues/1891 | 2021-02-16T18:29:13 | 2022-10-05T12:48:38 | 2022-10-05T12:48:38 | {
"login": "stas00",
"id": 10676103,
"type": "User"
} | [] | false | [] |
809,395,586 | 1,890 | Reformat dataset cards section titles | Titles are formatted like [Foo](#foo) instead of just Foo | closed | https://github.com/huggingface/datasets/pull/1890 | 2021-02-16T15:11:47 | 2021-02-16T15:12:34 | 2021-02-16T15:12:33 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
809,276,015 | 1,889 | Implement to_dict and to_pandas for Dataset | With options to return a generator or the full dataset | closed | https://github.com/huggingface/datasets/pull/1889 | 2021-02-16T12:38:19 | 2021-02-18T18:42:37 | 2021-02-18T18:42:34 | {
"login": "SBrandeis",
"id": 33657802,
"type": "User"
} | [] | true | [] |
809,241,123 | 1,888 | Docs for adding new column on formatted dataset | As mentioned in #1872 we should add in the documentation how the format gets updated when new columns are added
Close #1872 | closed | https://github.com/huggingface/datasets/pull/1888 | 2021-02-16T11:45:00 | 2021-03-30T14:01:03 | 2021-02-16T11:58:57 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
809,229,809 | 1,887 | Implement to_csv for Dataset | cc @thomwolf
`to_csv` supports passing either a file path or a *binary* file object
The writing is batched to avoid loading the whole table in memory | closed | https://github.com/huggingface/datasets/pull/1887 | 2021-02-16T11:27:29 | 2021-02-19T09:41:59 | 2021-02-19T09:41:59 | {
"login": "SBrandeis",
"id": 33657802,
"type": "User"
} | [] | true | [] |
809,221,885 | 1,886 | Common voice | Started filling out information about the dataset and a dataset card.
To do
Create tagging file
Update the common_voice.py file with more information | closed | https://github.com/huggingface/datasets/pull/1886 | 2021-02-16T11:16:10 | 2021-03-09T18:51:31 | 2021-03-09T18:51:31 | {
"login": "BirgerMoell",
"id": 1704131,
"type": "User"
} | [] | true | [] |
808,881,501 | 1,885 | add missing info on how to add large files | Thanks to @lhoestq's instructions I was able to add data files to a custom dataset repo. This PR is attempting to tell others how to do the same if they need to.
@lhoestq | closed | https://github.com/huggingface/datasets/pull/1885 | 2021-02-15T23:46:39 | 2021-02-16T16:22:19 | 2021-02-16T11:44:12 | {
"login": "stas00",
"id": 10676103,
"type": "User"
} | [] | true | [] |
808,755,894 | 1,884 | dtype fix when using numpy arrays | As discussed in #625 this fix lets the user preserve the dtype of numpy array to pyarrow array which was getting lost due to conversion of numpy array -> list -> pyarrow array | closed | https://github.com/huggingface/datasets/pull/1884 | 2021-02-15T18:55:25 | 2021-07-30T11:01:18 | 2021-07-30T11:01:18 | {
"login": "bhavitvyamalik",
"id": 19718818,
"type": "User"
} | [] | true | [] |
808,750,623 | 1,883 | Add not-in-place implementations for several dataset transforms | Should we deprecate in-place versions of such methods? | closed | https://github.com/huggingface/datasets/pull/1883 | 2021-02-15T18:44:26 | 2021-02-24T14:54:49 | 2021-02-24T14:53:26 | {
"login": "SBrandeis",
"id": 33657802,
"type": "User"
} | [] | true | [] |
808,716,576 | 1,882 | Create Remote Manager | Refactoring to separate the concern of remote (HTTP/FTP requests) management. | open | https://github.com/huggingface/datasets/pull/1882 | 2021-02-15T17:36:24 | 2022-07-06T15:19:47 | null | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
808,578,200 | 1,881 | `list_datasets()` returns a list of strings, not objects | Here and there in the docs there is still stuff like this:
```python
>>> datasets_list = list_datasets()
>>> print(', '.join(dataset.id for dataset in datasets_list))
```
However, my understanding is that `list_datasets()` returns a list of strings rather than a list of objects. | closed | https://github.com/huggingface/datasets/pull/1881 | 2021-02-15T14:20:15 | 2021-02-15T15:09:49 | 2021-02-15T15:09:48 | {
"login": "pminervini",
"id": 227357,
"type": "User"
} | [] | true | [] |
808,563,439 | 1,880 | Update multi_woz_v22 checksums | As noticed in #1876 the checksums of this dataset are outdated.
I updated them in this PR | closed | https://github.com/huggingface/datasets/pull/1880 | 2021-02-15T14:00:18 | 2021-02-15T14:18:19 | 2021-02-15T14:18:18 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
808,541,442 | 1,879 | Replace flatten_nested | Replace `flatten_nested` with `NestedDataStructure.flatten`.
This is a first step towards having all NestedDataStructure logic as a separated concern, independent of the caller/user of the data structure.
Eventually, all checks (whether the underlying data is list, dict, etc.) will be only inside this class.
I... | closed | https://github.com/huggingface/datasets/pull/1879 | 2021-02-15T13:29:40 | 2021-02-19T18:35:14 | 2021-02-19T18:35:14 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
808,526,883 | 1,878 | Add LJ Speech dataset | This PR adds the LJ Speech dataset (https://keithito.com/LJ-Speech-Dataset/)
As requested by #1841
The ASR format is based on #1767
There are a couple of quirks that should be addressed:
- I tagged this dataset as `other-other-automatic-speech-recognition` and `other-other-text-to-speech` (as classified by pape... | closed | https://github.com/huggingface/datasets/pull/1878 | 2021-02-15T13:10:42 | 2021-02-15T19:39:41 | 2021-02-15T14:18:09 | {
"login": "anton-l",
"id": 26864830,
"type": "User"
} | [] | true | [] |
808,462,272 | 1,877 | Allow concatenation of both in-memory and on-disk datasets | This is a prerequisite for the addition of the `add_item` feature (see #1870).
Currently there is one assumption that we would need to change: a dataset is either fully in memory (dataset._data_files is empty), or the dataset can be reloaded from disk (using the dataset._data_files).
This assumption is used for pickl... | closed | https://github.com/huggingface/datasets/issues/1877 | 2021-02-15T11:39:46 | 2021-03-26T16:51:58 | 2021-03-26T16:51:58 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | false | [] |
808,025,859 | 1,876 | load_dataset("multi_woz_v22") NonMatchingChecksumError | Hi, it seems that loading the multi_woz_v22 dataset gives a NonMatchingChecksumError.
To reproduce:
`dataset = load_dataset('multi_woz_v22','v2.2_active_only',split='train')`
This will give the following error:
```
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.N... | closed | https://github.com/huggingface/datasets/issues/1876 | 2021-02-14T19:14:48 | 2021-08-04T18:08:00 | 2021-08-04T18:08:00 | {
"login": "Vincent950129",
"id": 5945326,
"type": "User"
} | [] | false | [] |
807,887,267 | 1,875 | Adding sari metric | Adding SARI metric that is used in evaluation of text simplification. This is required as part of the GEM benchmark. | closed | https://github.com/huggingface/datasets/pull/1875 | 2021-02-14T04:38:35 | 2021-02-17T15:56:27 | 2021-02-17T15:56:27 | {
"login": "ddhruvkr",
"id": 6061911,
"type": "User"
} | [] | true | [] |
807,786,094 | 1,874 | Adding Europarl Bilingual dataset | Implementation of Europarl bilingual dataset from described [here](https://opus.nlpl.eu/Europarl.php).
This dataset allows to use every language pair detailed in the original dataset. The loading script manages also the small errors contained in the original dataset (in very rare cases (1 over 10M) there are some ke... | closed | https://github.com/huggingface/datasets/pull/1874 | 2021-02-13T17:02:04 | 2021-03-04T10:38:22 | 2021-03-04T10:38:22 | {
"login": "lucadiliello",
"id": 23355969,
"type": "User"
} | [] | true | [] |
807,750,745 | 1,873 | add iapp_wiki_qa_squad | `iapp_wiki_qa_squad` is an extractive question answering dataset from Thai Wikipedia articles.
It is adapted from [the original iapp-wiki-qa-dataset](https://github.com/iapp-technology/iapp-wiki-qa-dataset)
to [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, resulting in
5761/742/739 questions from 1529/... | closed | https://github.com/huggingface/datasets/pull/1873 | 2021-02-13T13:34:27 | 2021-02-16T14:21:58 | 2021-02-16T14:21:58 | {
"login": "cstorm125",
"id": 15519308,
"type": "User"
} | [] | true | [] |
807,711,935 | 1,872 | Adding a new column to the dataset after set_format was called | Hi,
thanks for the nice library. I'm in the process of creating a custom dataset, which has a mix of tensors and lists of strings. I stumbled upon an error and want to know if its a problem on my side.
I load some lists of strings and integers, then call `data.set_format("torch", columns=["some_integer_column1"... | closed | https://github.com/huggingface/datasets/issues/1872 | 2021-02-13T09:14:35 | 2021-03-30T14:01:45 | 2021-03-30T14:01:45 | {
"login": "villmow",
"id": 2743060,
"type": "User"
} | [] | false | [] |
807,697,671 | 1,871 | Add newspop dataset | closed | https://github.com/huggingface/datasets/pull/1871 | 2021-02-13T07:31:23 | 2021-03-08T10:12:45 | 2021-03-08T10:12:45 | {
"login": "frankier",
"id": 299380,
"type": "User"
} | [] | true | [] | |
807,306,564 | 1,870 | Implement Dataset add_item | Implement `Dataset.add_item`.
Close #1854. | closed | https://github.com/huggingface/datasets/pull/1870 | 2021-02-12T15:03:46 | 2021-04-23T10:01:31 | 2021-04-23T10:01:31 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | true | [] |
807,159,835 | 1,869 | Remove outdated commands in favor of huggingface-cli | Removing the old user commands since `huggingface_hub` is going to be used instead.
cc @julien-c | closed | https://github.com/huggingface/datasets/pull/1869 | 2021-02-12T11:28:10 | 2021-02-12T16:13:09 | 2021-02-12T16:13:08 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
807,138,159 | 1,868 | Update oscar sizes | This commit https://github.com/huggingface/datasets/commit/837a152e4724adc5308e2c4481908c00a8d93383 removed empty lines from the oscar deduplicated datasets. This PR updates the size of each deduplicated dataset to fix possible `NonMatchingSplitsSizesError` errors. cc @cahya-wirawan | closed | https://github.com/huggingface/datasets/pull/1868 | 2021-02-12T10:55:35 | 2021-02-12T11:03:07 | 2021-02-12T11:03:06 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
807,127,181 | 1,867 | ERROR WHEN USING SET_TRANSFORM() | Hi, I'm trying to use dataset.set_transform(encode) as @lhoestq told me in this issue: https://github.com/huggingface/datasets/issues/1825#issuecomment-774202797
However, when I try to use Trainer from transformers with such dataset, it throws an error:
```
TypeError: __init__() missing 1 required positional arg... | closed | https://github.com/huggingface/datasets/issues/1867 | 2021-02-12T10:38:31 | 2021-03-01T14:04:24 | 2021-02-24T12:00:43 | {
"login": "avacaondata",
"id": 35173563,
"type": "User"
} | [] | false | [] |
807,017,816 | 1,866 | Add dataset for Financial PhraseBank | closed | https://github.com/huggingface/datasets/pull/1866 | 2021-02-12T07:30:56 | 2021-02-17T14:22:36 | 2021-02-17T14:22:36 | {
"login": "frankier",
"id": 299380,
"type": "User"
} | [] | true | [] | |
806,388,290 | 1,865 | Updated OPUS Open Subtitles Dataset with metadata information | Close #1844
Problems:
- I ran `python datasets-cli test datasets/open_subtitles --save_infos --all_configs`, hence the change in `dataset_infos.json`, but it appears that the metadata features have not been added for all pairs. Any idea why that might be?
- Possibly related to the above, I tried doing `pip uninst... | closed | https://github.com/huggingface/datasets/pull/1865 | 2021-02-11T13:26:26 | 2021-02-19T12:38:09 | 2021-02-12T16:59:44 | {
"login": "Valahaar",
"id": 19476123,
"type": "User"
} | [] | true | [] |
806,172,843 | 1,864 | Add Winogender Schemas | ## Adding a Dataset
- **Name:** Winogender Schemas
- **Description:** Winogender Schemas (inspired by Winograd Schemas) are minimal pairs of sentences that differ only by the gender of one pronoun in the sentence, designed to test for the presence of gender bias in automated coreference resolution systems.
- **Paper... | closed | https://github.com/huggingface/datasets/issues/1864 | 2021-02-11T08:18:38 | 2021-02-11T08:19:51 | 2021-02-11T08:19:51 | {
"login": "NielsRogge",
"id": 48327001,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
806,171,311 | 1,863 | Add WikiCREM | ## Adding a Dataset
- **Name:** WikiCREM
- **Description:** A large unsupervised corpus for coreference resolution.
- **Paper:** https://arxiv.org/abs/1905.06290
- **Github repo:**: https://github.com/vid-koci/bert-commonsense
- **Data:** https://ora.ox.ac.uk/objects/uuid:c83e94bb-7584-41a1-aef9-85b0e764d9e3
- **... | open | https://github.com/huggingface/datasets/issues/1863 | 2021-02-11T08:16:00 | 2021-03-07T07:27:13 | null | {
"login": "NielsRogge",
"id": 48327001,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
805,722,293 | 1,862 | Fix writing GPU Faiss index | As reported in by @corticalstack there is currently an error when we try to save a faiss index on GPU.
I fixed that by checking the index `getDevice()` method before calling `index_gpu_to_cpu`
Close #1859 | closed | https://github.com/huggingface/datasets/pull/1862 | 2021-02-10T17:32:03 | 2021-02-10T18:17:48 | 2021-02-10T18:17:47 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
805,631,215 | 1,861 | Fix Limit url | The test.json file of the Literal-Motion-in-Text (LiMiT) dataset was removed recently on the master branch of the repo at https://github.com/ilmgut/limit_dataset
This PR uses the previous commit sha to download the file instead, as suggested by @Paethon
Close #1836 | closed | https://github.com/huggingface/datasets/pull/1861 | 2021-02-10T15:44:56 | 2021-02-10T16:15:00 | 2021-02-10T16:14:59 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
805,510,037 | 1,860 | Add loading from the Datasets Hub + add relative paths in download manager | With the new Datasets Hub on huggingface.co it's now possible to have a dataset repo with your own script and data.
For example: https://huggingface.co/datasets/lhoestq/custom_squad/tree/main contains one script and two json files.
You can load it using
```python
from datasets import load_dataset
d = load_data... | closed | https://github.com/huggingface/datasets/pull/1860 | 2021-02-10T13:24:11 | 2021-02-12T19:13:30 | 2021-02-12T19:13:29 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
805,479,025 | 1,859 | Error "in void don't know how to serialize this type of index" when saving index to disk when device=0 (GPU) | Error serializing faiss index. Error as follows:
`Error in void faiss::write_index(const faiss::Index*, faiss::IOWriter*) at /home/conda/feedstock_root/build_artifacts/faiss-split_1612472484670/work/faiss/impl/index_write.cpp:453: don't know how to serialize this type of index`
Note:
`torch.cuda.is_availabl... | closed | https://github.com/huggingface/datasets/issues/1859 | 2021-02-10T12:41:00 | 2021-02-10T18:32:12 | 2021-02-10T18:17:47 | {
"login": "corticalstack",
"id": 3995321,
"type": "User"
} | [] | false | [] |
805,477,774 | 1,858 | Clean config getenvs | Following #1848
Remove double getenv calls and fix one issue with rarfile
cc @albertvillanova | closed | https://github.com/huggingface/datasets/pull/1858 | 2021-02-10T12:39:14 | 2021-02-10T15:52:30 | 2021-02-10T15:52:29 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
805,391,107 | 1,857 | Unable to upload "community provided" dataset - 400 Client Error | Hi,
i'm trying to a upload a dataset as described [here](https://huggingface.co/docs/datasets/v1.2.0/share_dataset.html#sharing-a-community-provided-dataset). This is what happens:
```
$ datasets-cli login
$ datasets-cli upload_dataset my_dataset
About to upload file /path/to/my_dataset/dataset_infos.json to S3... | closed | https://github.com/huggingface/datasets/issues/1857 | 2021-02-10T10:39:01 | 2021-08-03T05:06:13 | 2021-08-03T05:06:13 | {
"login": "mwrzalik",
"id": 1376337,
"type": "User"
} | [] | false | [] |
805,360,200 | 1,856 | load_dataset("amazon_polarity") NonMatchingChecksumError | Hi, it seems that loading the amazon_polarity dataset gives a NonMatchingChecksumError.
To reproduce:
```
load_dataset("amazon_polarity")
```
This will give the following error:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback ... | closed | https://github.com/huggingface/datasets/issues/1856 | 2021-02-10T10:00:56 | 2022-03-15T13:55:24 | 2022-03-15T13:55:23 | {
"login": "yanxi0830",
"id": 19946372,
"type": "User"
} | [] | false | [] |
805,256,579 | 1,855 | Minor fix in the docs | closed | https://github.com/huggingface/datasets/pull/1855 | 2021-02-10T07:27:43 | 2021-02-10T12:33:09 | 2021-02-10T12:33:09 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] | |
805,204,397 | 1,854 | Feature Request: Dataset.add_item | I'm trying to integrate `huggingface/datasets` functionality into `fairseq`, which requires (afaict) being able to build a dataset through an `add_item` method, such as https://github.com/pytorch/fairseq/blob/master/fairseq/data/indexed_dataset.py#L318, as opposed to loading all the text into arrow, and then `dataset.m... | closed | https://github.com/huggingface/datasets/issues/1854 | 2021-02-10T06:06:00 | 2021-04-23T10:01:30 | 2021-04-23T10:01:30 | {
"login": "sshleifer",
"id": 6045025,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
804,791,166 | 1,853 | Configure library root logger at the module level | Configure library root logger at the datasets.logging module level (singleton-like).
By doing it this way:
- we are sure configuration is done only once: module level code is only runned once
- no need of global variable
- no need of threading lock | closed | https://github.com/huggingface/datasets/pull/1853 | 2021-02-09T18:11:12 | 2021-02-10T12:32:34 | 2021-02-10T12:32:34 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
804,633,033 | 1,852 | Add Arabic Speech Corpus | closed | https://github.com/huggingface/datasets/pull/1852 | 2021-02-09T15:02:26 | 2021-02-11T10:18:55 | 2021-02-11T10:18:55 | {
"login": "zaidalyafeai",
"id": 15667714,
"type": "User"
} | [] | true | [] | |
804,523,174 | 1,851 | set bert_score version dependency | Set the bert_score version in requirements since previous versions of bert_score will fail with datasets (closes #843) | closed | https://github.com/huggingface/datasets/pull/1851 | 2021-02-09T12:51:07 | 2021-02-09T14:21:48 | 2021-02-09T14:21:48 | {
"login": "pvl",
"id": 3596,
"type": "User"
} | [] | true | [] |
804,412,249 | 1,850 | Add cord 19 dataset | Initial version only reading the metadata in CSV.
### Checklist:
- [x] Create the dataset script /datasets/my_dataset/my_dataset.py using the template
- [x] Fill the _DESCRIPTION and _CITATION variables
- [x] Implement _infos(), _split_generators() and _generate_examples()
- [x] Make sure that the BUILDER_CONFIG... | closed | https://github.com/huggingface/datasets/pull/1850 | 2021-02-09T10:22:08 | 2021-02-09T15:16:26 | 2021-02-09T15:16:26 | {
"login": "ggdupont",
"id": 5583410,
"type": "User"
} | [] | true | [] |
804,292,971 | 1,849 | Add TIMIT | ## Adding a Dataset
- **Name:** *TIMIT*
- **Description:** *The TIMIT corpus of read speech has been designed to provide speech data for the acquisition of acoustic-phonetic knowledge and for the development and evaluation of automatic speech recognition systems*
- **Paper:** *Homepage*: http://groups.inf.ed.ac.uk... | closed | https://github.com/huggingface/datasets/issues/1849 | 2021-02-09T07:29:41 | 2021-03-15T05:59:37 | 2021-03-15T05:59:37 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
},
{
"name": "speech",
"color": "d93f0b"
}
] | false | [] |
803,826,506 | 1,848 | Refactoring: Create config module | Refactorize configuration settings into their own module.
This could be seen as a Pythonic singleton-like approach. Eventually a config instance class might be created. | closed | https://github.com/huggingface/datasets/pull/1848 | 2021-02-08T18:43:51 | 2021-02-10T12:29:35 | 2021-02-10T12:29:35 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
803,824,694 | 1,847 | [Metrics] Add word error metric metric | This PR adds the word error rate metric to datasets.
WER: https://en.wikipedia.org/wiki/Word_error_rate
for speech recognition. WER is the main metric used in ASR.
`jiwer` seems to be a solid library (see https://github.com/asteroid-team/asteroid/pull/329#discussion_r525158939) | closed | https://github.com/huggingface/datasets/pull/1847 | 2021-02-08T18:41:15 | 2021-02-09T17:53:21 | 2021-02-09T17:53:21 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [] | true | [] |
803,806,380 | 1,846 | Make DownloadManager downloaded/extracted paths accessible | Make accessible the file paths downloaded/extracted by DownloadManager.
Close #1831.
The approach:
- I set these paths as DownloadManager attributes: these are DownloadManager's concerns
- To access to these from DatasetBuilder, I set the DownloadManager instance as DatasetBuilder attribute: object composition | closed | https://github.com/huggingface/datasets/pull/1846 | 2021-02-08T18:14:42 | 2021-02-25T14:10:18 | 2021-02-25T14:10:18 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
803,714,493 | 1,845 | Enable logging propagation and remove logging handler | We used to have logging propagation disabled because of this issue: https://github.com/tensorflow/tensorflow/issues/26691
But since it's now fixed we should re-enable it. This is important to keep the default logging behavior for users, and propagation is also needed for pytest fixtures as asked in #1826
I also re... | closed | https://github.com/huggingface/datasets/pull/1845 | 2021-02-08T16:22:13 | 2021-02-09T14:22:38 | 2021-02-09T14:22:37 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
803,588,125 | 1,844 | Update Open Subtitles corpus with original sentence IDs | Hi! It would be great if you could add the original sentence ids to [Open Subtitles](https://huggingface.co/datasets/open_subtitles).
I can think of two reasons: first, it's possible to gather sentences for an entire document (the original ids contain media id, subtitle file id and sentence id), therefore somewhat a... | closed | https://github.com/huggingface/datasets/issues/1844 | 2021-02-08T13:55:13 | 2021-02-12T17:38:58 | 2021-02-12T17:38:58 | {
"login": "Valahaar",
"id": 19476123,
"type": "User"
} | [
{
"name": "good first issue",
"color": "7057ff"
}
] | false | [] |
803,565,393 | 1,843 | MustC Speech Translation | ## Adding a Dataset
- **Name:** *IWSLT19*
- **Description:** *The Speech Translation Task addresses the translation of English audio into German and Portuguese text.*
- **Hompage:** *https://sites.google.com/view/iwslt-evaluation-2019/speech-translation*
- **Data:** *https://sites.google.com/view/iwslt-evaluation-2... | open | https://github.com/huggingface/datasets/issues/1843 | 2021-02-08T13:27:45 | 2021-05-14T14:53:34 | null | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
},
{
"name": "speech",
"color": "d93f0b"
}
] | false | [] |
803,563,149 | 1,842 | Add AMI Corpus | ## Adding a Dataset
- **Name:** *AMI*
- **Description:** *The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. For a gentle introduction to the corpus, see the corpus overview. To access the data, follow the directions given there. Around two-thirds of the data has been elic... | closed | https://github.com/huggingface/datasets/issues/1842 | 2021-02-08T13:25:00 | 2023-02-28T16:29:22 | 2023-02-28T16:29:22 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
},
{
"name": "speech",
"color": "d93f0b"
}
] | false | [] |
803,561,123 | 1,841 | Add ljspeech | ## Adding a Dataset
- **Name:** *ljspeech*
- **Description:** *This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of ap... | closed | https://github.com/huggingface/datasets/issues/1841 | 2021-02-08T13:22:26 | 2021-03-15T05:59:02 | 2021-03-15T05:59:02 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
},
{
"name": "speech",
"color": "d93f0b"
}
] | false | [] |
803,560,039 | 1,840 | Add common voice | ## Adding a Dataset
- **Name:** *common voice*
- **Description:** *Mozilla Common Voice Dataset*
- **Paper:** Homepage: https://voice.mozilla.org/en/datasets
- **Data:** https://voice.mozilla.org/en/datasets
- **Motivation:** Important speech dataset
- **TFDatasets Implementation**: https://www.tensorflow.org/dat... | closed | https://github.com/huggingface/datasets/issues/1840 | 2021-02-08T13:21:05 | 2022-03-20T15:23:40 | 2021-03-15T05:56:21 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
},
{
"name": "speech",
"color": "d93f0b"
}
] | false | [] |
803,559,164 | 1,839 | Add Voxforge | ## Adding a Dataset
- **Name:** *voxforge*
- **Description:** *VoxForge is a language classification dataset. It consists of user submitted audio clips submitted to the website. In this release, data from 6 languages is collected - English, Spanish, French, German, Russian, and Italian. Since the website is constant... | open | https://github.com/huggingface/datasets/issues/1839 | 2021-02-08T13:19:56 | 2021-02-08T13:28:31 | null | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
},
{
"name": "speech",
"color": "d93f0b"
}
] | false | [] |
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