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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
740,071,697 | 831 | [GEM] Add WebNLG dataset | ## Adding a Dataset
- **Name:** WebNLG
- **Description:** WebNLG consists of Data/Text pairs where the data is a set of triples extracted from DBpedia and the text is a verbalisation of these triples (16,095 data inputs and 42,873 data-text pairs). The data is available in English and Russian
- **Paper:** https://ww... | closed | https://github.com/huggingface/datasets/issues/831 | 2020-11-10T16:46:48 | 2020-12-03T13:38:01 | 2020-12-03T13:38:01 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
740,065,376 | 830 | [GEM] add ToTTo Table-to-text dataset | ## Adding a Dataset
- **Name:** ToTTo
- **Description:** ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.
- **Paper:** https://arxiv.o... | closed | https://github.com/huggingface/datasets/issues/830 | 2020-11-10T16:38:34 | 2020-12-10T13:06:02 | 2020-12-10T13:06:01 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
740,061,699 | 829 | [GEM] add Schema-Guided Dialogue | ## Adding a Dataset
- **Name:** The Schema-Guided Dialogue Dataset
- **Description:** The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant. These conversations involve interactions with services and APIs spanning 20 d... | closed | https://github.com/huggingface/datasets/issues/829 | 2020-11-10T16:33:44 | 2020-12-03T13:37:50 | 2020-12-03T13:37:50 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
740,008,683 | 828 | Add writer_batch_size attribute to GeneratorBasedBuilder | As specified in #741 one would need to specify a custom ArrowWriter batch size to avoid filling the RAM. Indeed the defaults buffer size is 10 000 examples but for multimodal datasets that contain images or videos we may want to reduce that. | closed | https://github.com/huggingface/datasets/pull/828 | 2020-11-10T15:28:19 | 2020-11-10T16:27:36 | 2020-11-10T16:27:36 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
739,983,024 | 827 | [GEM] MultiWOZ dialogue dataset | ## Adding a Dataset
- **Name:** MultiWOZ (Multi-Domain Wizard-of-Oz)
- **Description:** 10k annotated human-human dialogues. Each dialogue consists of a goal, multiple user and system utterances as well as a belief state. Only system utterances are annotated with dialogue acts – there are no annotations from the user... | closed | https://github.com/huggingface/datasets/issues/827 | 2020-11-10T14:57:50 | 2022-10-05T12:31:13 | 2022-10-05T12:31:13 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
739,976,716 | 826 | [GEM] Add E2E dataset | ## Adding a Dataset
- **Name:** E2E NLG dataset (for End-to-end natural language generation)
- **Description:**a dataset for training end-to-end, datadriven natural language generation systems in the restaurant domain, the datasets consists of 5,751 dialogue-act Meaning Representations (structured data) and 8.1 refer... | closed | https://github.com/huggingface/datasets/issues/826 | 2020-11-10T14:50:40 | 2020-12-03T13:37:57 | 2020-12-03T13:37:57 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
739,925,960 | 825 | Add accuracy, precision, recall and F1 metrics | This PR adds several single metrics, namely:
- Accuracy
- Precision
- Recall
- F1
They all uses under the hood the sklearn metrics of the same name. They allow different useful features when training a multilabel/multiclass model:
- have a macro/micro/per label/weighted/binary/per sample score
- score only t... | closed | https://github.com/huggingface/datasets/pull/825 | 2020-11-10T13:50:35 | 2020-11-11T19:23:48 | 2020-11-11T19:23:43 | {
"login": "jplu",
"id": 959590,
"type": "User"
} | [] | true | [] |
739,896,526 | 824 | Discussion using datasets in offline mode | `datasets.load_dataset("csv", ...)` breaks if you have no connection (There is already this issue https://github.com/huggingface/datasets/issues/761 about it). It seems to be the same for metrics too.
I create this ticket to discuss a bit and gather what you have in mind or other propositions.
Here are some point... | closed | https://github.com/huggingface/datasets/issues/824 | 2020-11-10T13:10:51 | 2023-10-26T09:26:26 | 2022-02-15T10:32:36 | {
"login": "mandubian",
"id": 77193,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "generic discussion",
"color": "c5def5"
}
] | false | [] |
739,815,763 | 823 | how processing in batch works in datasets | Hi,
I need to process my datasets before it is passed to dataloader in batch,
here is my codes
```
class AbstractTask(ABC):
task_name: str = NotImplemented
preprocessor: Callable = NotImplemented
split_to_data_split: Mapping[str, str] = NotImplemented
tokenizer: Callable = NotImplemented
... | closed | https://github.com/huggingface/datasets/issues/823 | 2020-11-10T11:11:17 | 2020-11-10T13:11:10 | 2020-11-10T13:11:09 | {
"login": "rabeehkarimimahabadi",
"id": 73364383,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
739,579,314 | 822 | datasets freezes | Hi, I want to load these two datasets and convert them to Dataset format in torch and the code freezes for me, could you have a look please? thanks
dataset1 = load_dataset("squad", split="train[:10]")
dataset1 = dataset1.set_format(type='torch', columns=['context', 'answers', 'question'])
dataset2 = load_datase... | closed | https://github.com/huggingface/datasets/issues/822 | 2020-11-10T05:10:19 | 2023-07-20T16:08:14 | 2023-07-20T16:08:13 | {
"login": "rabeehkarimimahabadi",
"id": 73364383,
"type": "User"
} | [
{
"name": "dataset bug",
"color": "2edb81"
}
] | false | [] |
739,506,859 | 821 | `kor_nli` dataset doesn't being loaded properly | There are two issues from `kor_nli` dataset
1. csv.DictReader failed to split features by tab
- Should not exist `None` value in label feature, but there it is.
```python
kor_nli_train['train'].unique('gold_label')
# ['neutral', 'entailment', 'contradiction', None]
```
-... | closed | https://github.com/huggingface/datasets/issues/821 | 2020-11-10T02:04:12 | 2020-11-16T13:59:12 | 2020-11-16T13:59:12 | {
"login": "sackoh",
"id": 30492059,
"type": "User"
} | [] | false | [] |
739,387,617 | 820 | Update quail dataset to v1.3 | Updated quail to most recent version, to address the problem originally discussed [here](https://github.com/huggingface/datasets/issues/806). | closed | https://github.com/huggingface/datasets/pull/820 | 2020-11-09T21:49:26 | 2020-11-10T09:06:35 | 2020-11-10T09:06:35 | {
"login": "ngdodd",
"id": 4889636,
"type": "User"
} | [] | true | [] |
739,250,624 | 819 | Make save function use deterministic global vars order | The `dumps` function need to be deterministic for the caching mechanism.
However in #816 I noticed that one of dill's method to recursively check the globals of a function may return the globals in different orders each time it's used. To fix that I sort the globals by key in the `globs` dictionary.
I had to add a re... | closed | https://github.com/huggingface/datasets/pull/819 | 2020-11-09T18:12:03 | 2021-11-30T13:34:09 | 2020-11-11T15:20:51 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
739,173,861 | 818 | Fix type hints pickling in python 3.6 | Type hints can't be properly pickled in python 3.6. This was causing errors the `run_mlm.py` script from `transformers` with python 3.6
However Cloupickle proposed a [fix](https://github.com/cloudpipe/cloudpickle/pull/318/files) to make it work anyway.
The idea is just to implement the pickling/unpickling of parame... | closed | https://github.com/huggingface/datasets/pull/818 | 2020-11-09T16:27:47 | 2020-11-10T09:07:03 | 2020-11-10T09:07:02 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
739,145,369 | 817 | Add MRQA dataset | ## Adding a Dataset
- **Name:** MRQA
- **Description:** Collection of different (subsets of) QA datasets all converted to the same format to evaluate out-of-domain generalization (the datasets come from different domains, distributions, etc.). Some datasets are used for training and others are used for evaluation. Th... | closed | https://github.com/huggingface/datasets/issues/817 | 2020-11-09T15:52:19 | 2020-12-04T15:44:42 | 2020-12-04T15:44:41 | {
"login": "VictorSanh",
"id": 16107619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
739,102,686 | 816 | [Caching] Dill globalvars() output order is not deterministic and can cause cache issues. | Dill uses `dill.detect.globalvars` to get the globals used by a function in a recursive dump. `globalvars` returns a dictionary of all the globals that a dumped function needs. However the order of the keys in this dict is not deterministic and can cause caching issues.
To fix that one could register an implementati... | closed | https://github.com/huggingface/datasets/issues/816 | 2020-11-09T15:01:20 | 2020-11-11T15:20:50 | 2020-11-11T15:20:50 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | false | [] |
738,842,092 | 815 | Is dataset iterative or not? | Hi
I want to use your library for large-scale training, I am not sure if this is implemented as iterative datasets or not?
could you provide me with example how I can use datasets as iterative datasets?
thanks | closed | https://github.com/huggingface/datasets/issues/815 | 2020-11-09T09:11:48 | 2020-11-10T10:50:03 | 2020-11-10T10:50:03 | {
"login": "rabeehkarimimahabadi",
"id": 73364383,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
738,500,443 | 814 | Joining multiple datasets | Hi
I have multiple iterative datasets from your library with different size and I want to join them in a way that each datasets is sampled equally, so smaller datasets more, larger one less, could you tell me how to implement this in pytorch? thanks | closed | https://github.com/huggingface/datasets/issues/814 | 2020-11-08T16:19:30 | 2020-11-08T19:38:48 | 2020-11-08T19:38:48 | {
"login": "rabeehkarimimahabadi",
"id": 73364383,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
738,489,852 | 813 | How to implement DistributedSampler with datasets | Hi,
I am using your datasets to define my dataloaders, and I am training finetune_trainer.py in huggingface repo on them.
I need a distributedSampler to be able to train the models on TPUs being able to distribute the load across the TPU cores. Could you tell me how I can implement the distribued sampler when using d... | closed | https://github.com/huggingface/datasets/issues/813 | 2020-11-08T15:27:11 | 2022-10-05T12:54:23 | 2022-10-05T12:54:23 | {
"login": "rabeehkarimimahabadi",
"id": 73364383,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
738,340,217 | 812 | Too much logging | I'm doing this in the beginning of my script:
from datasets.utils import logging as datasets_logging
datasets_logging.set_verbosity_warning()
but I'm still getting these logs:
[2020-11-07 15:45:41,908][filelock][INFO] - Lock 139958278886176 acquired on /home/username/.cache/huggingface/datasets/cfe20ffaa80ef1... | closed | https://github.com/huggingface/datasets/issues/812 | 2020-11-07T23:56:30 | 2021-01-26T14:31:34 | 2020-11-16T17:06:42 | {
"login": "dspoka",
"id": 6183050,
"type": "User"
} | [] | false | [] |
738,280,132 | 811 | nlp viewer error | Hello,
when I select amazon_us_reviews in nlp viewer, it shows error.
https://huggingface.co/nlp/viewer/?dataset=amazon_us_reviews
| closed | https://github.com/huggingface/datasets/issues/811 | 2020-11-07T17:08:58 | 2022-02-15T10:51:44 | 2022-02-14T15:24:20 | {
"login": "jc-hou",
"id": 30210529,
"type": "User"
} | [
{
"name": "nlp-viewer",
"color": "94203D"
}
] | false | [] |
737,878,370 | 810 | Fix seqeval metric | The current seqeval metric returns the following error when computed:
```
~/.cache/huggingface/modules/datasets_modules/metrics/seqeval/78a944d83252b5a16c9a2e49f057f4c6e02f18cc03349257025a8c9aea6524d8/seqeval.py in _compute(self, predictions, references, suffix)
102 scores = {}
103 for type_... | closed | https://github.com/huggingface/datasets/pull/810 | 2020-11-06T16:11:43 | 2020-11-09T14:04:29 | 2020-11-09T14:04:28 | {
"login": "sgugger",
"id": 35901082,
"type": "User"
} | [] | true | [] |
737,832,701 | 809 | Add Google Taskmaster dataset | ## Adding a Dataset
- **Name:** Taskmaster
- **Description:** A large dataset of task-oriented dialogue with annotated goals (55K dialogues covering entertainment and travel reservations)
- **Paper:** https://arxiv.org/abs/1909.05358
- **Data:** https://github.com/google-research-datasets/Taskmaster
- **Motivation... | closed | https://github.com/huggingface/datasets/issues/809 | 2020-11-06T15:10:41 | 2021-04-20T13:09:26 | 2021-04-20T13:09:26 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
737,638,942 | 808 | dataset(dgs): initial dataset loading script | When trying to create dummy data I get:
> Dataset datasets with config None seems to already open files in the method `_split_generators(...)`. You might consider to instead only open files in the method `_generate_examples(...)` instead. If this is not possible the dummy data has t o be created with less guidance. ... | closed | https://github.com/huggingface/datasets/pull/808 | 2020-11-06T10:14:43 | 2021-03-23T06:18:55 | 2021-03-23T06:18:55 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | true | [] |
737,509,954 | 807 | load_dataset for LOCAL CSV files report CONNECTION ERROR | ## load_dataset for LOCAL CSV files report CONNECTION ERROR
- **Description:**
A local demo csv file:
```
import pandas as pd
import numpy as np
from datasets import load_dataset
import torch
import transformers
df = pd.DataFrame(np.arange(1200).reshape(300,4))
df.to_csv('test.csv', header=False, index=Fal... | closed | https://github.com/huggingface/datasets/issues/807 | 2020-11-06T06:33:04 | 2021-01-11T01:30:27 | 2020-11-14T05:30:34 | {
"login": "shexuan",
"id": 25664170,
"type": "User"
} | [] | false | [] |
737,215,430 | 806 | Quail dataset urls are out of date | <h3>Code</h3>
```
from datasets import load_dataset
quail = load_dataset('quail')
```
<h3>Error</h3>
```
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/text-machine-lab/quail/master/quail_v1.2/xml/ordered/quail_1.2_train.xml
```
As per [quail v1.3 commit](https://github.co... | closed | https://github.com/huggingface/datasets/issues/806 | 2020-11-05T19:40:19 | 2020-11-10T14:02:51 | 2020-11-10T14:02:51 | {
"login": "ngdodd",
"id": 4889636,
"type": "User"
} | [] | false | [] |
737,019,360 | 805 | On loading a metric from datasets, I get the following error | `from datasets import load_metric`
`metric = load_metric('bleurt')`
Traceback:
210 class _ArrayXDExtensionType(pa.PyExtensionType):
211
212 ndims: int = None
AttributeError: module 'pyarrow' has no attribute 'PyExtensionType'
Any help will be appreciated. Thank you. | closed | https://github.com/huggingface/datasets/issues/805 | 2020-11-05T15:14:38 | 2022-02-14T15:32:59 | 2022-02-14T15:32:59 | {
"login": "laibamehnaz",
"id": 36405283,
"type": "User"
} | [] | false | [] |
736,858,507 | 804 | Empty output/answer in TriviaQA test set (both in 'kilt_tasks' and 'trivia_qa') | # The issue
It's all in the title, it appears to be fine on the train and validation sets.
Is there some kind of mapping to do like for the questions (see https://github.com/huggingface/datasets/blob/master/datasets/kilt_tasks/README.md) ?
# How to reproduce
```py
from datasets import load_dataset
kilt_tas... | closed | https://github.com/huggingface/datasets/issues/804 | 2020-11-05T11:38:01 | 2020-11-09T14:14:59 | 2020-11-09T14:14:58 | {
"login": "PaulLerner",
"id": 25532159,
"type": "User"
} | [] | false | [] |
736,818,917 | 803 | fix: typos in tutorial to map KILT and TriviaQA | closed | https://github.com/huggingface/datasets/pull/803 | 2020-11-05T10:42:00 | 2020-11-10T09:08:07 | 2020-11-10T09:08:07 | {
"login": "PaulLerner",
"id": 25532159,
"type": "User"
} | [] | true | [] | |
736,296,343 | 802 | Add XGlue | Dataset is ready to merge. An important feature of this dataset is that for each config the train data is in English, while dev and test data are in multiple languages. Therefore, @lhoestq and I decided offline that we will give the dataset the following API, *e.g.* for
```python
load_dataset("xglue", "ner") # wo... | closed | https://github.com/huggingface/datasets/pull/802 | 2020-11-04T17:29:54 | 2022-04-28T08:15:36 | 2020-12-01T15:58:27 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [] | true | [] |
735,790,876 | 801 | How to join two datasets? | Hi,
I'm wondering if it's possible to join two (preprocessed) datasets with the same number of rows but different labels?
I'm currently trying to create paired sentences for BERT from `wikipedia/'20200501.en`, and I couldn't figure out a way to create a paired sentence using `.map()` where the second sentence is... | closed | https://github.com/huggingface/datasets/issues/801 | 2020-11-04T03:53:11 | 2020-12-23T14:02:58 | 2020-12-23T14:02:58 | {
"login": "shangw-nvidia",
"id": 66387198,
"type": "User"
} | [] | false | [] |
735,772,775 | 800 | Update loading_metrics.rst | Minor bug | closed | https://github.com/huggingface/datasets/pull/800 | 2020-11-04T02:57:11 | 2020-11-11T15:28:32 | 2020-11-11T15:28:32 | {
"login": "ayushidalmia",
"id": 5400513,
"type": "User"
} | [] | true | [] |
735,551,165 | 799 | switch amazon reviews class label order | Switches the label order to be more intuitive for amazon reviews, #791. | closed | https://github.com/huggingface/datasets/pull/799 | 2020-11-03T18:38:58 | 2020-11-03T18:44:14 | 2020-11-03T18:44:10 | {
"login": "joeddav",
"id": 9353833,
"type": "User"
} | [] | true | [] |
735,518,805 | 798 | Cannot load TREC dataset: ConnectionError | ## Problem
I cannot load "trec" dataset, it results with ConnectionError as shown below. I've tried on both Google Colab and locally.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label')` returns <Response [302]>.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label', allow_redirects=True... | closed | https://github.com/huggingface/datasets/issues/798 | 2020-11-03T17:45:22 | 2022-02-14T15:34:22 | 2022-02-14T15:34:22 | {
"login": "kaletap",
"id": 25740957,
"type": "User"
} | [
{
"name": "dataset bug",
"color": "2edb81"
}
] | false | [] |
735,420,332 | 797 | Token classification labels are strings and we don't have the list of labels | Not sure if this is an issue we want to fix or not, putting it here so it's not forgotten. Right now, in token classification datasets, the labels for NER, POS and the likes are typed as `Sequence` of `strings`, which is wrong in my opinion. These should be `Sequence` of `ClassLabel` or some types that gives easy acces... | closed | https://github.com/huggingface/datasets/issues/797 | 2020-11-03T15:33:30 | 2022-02-14T15:41:54 | 2022-02-14T15:41:53 | {
"login": "sgugger",
"id": 35901082,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "Dataset discussion",
"color": "72f99f"
}
] | false | [] |
735,198,265 | 795 | Descriptions of raw and processed versions of wikitext are inverted | Nothing of importance, but it looks like the descriptions of wikitext-n-v1 and wikitext-n-raw-v1 are inverted for both n=2 and n=103. I just verified by loading them and the `<unk>` tokens are present in the non-raw versions, which confirms that it's a mere inversion of the descriptions and not of the datasets themselv... | closed | https://github.com/huggingface/datasets/issues/795 | 2020-11-03T10:24:51 | 2022-02-14T15:46:21 | 2022-02-14T15:46:21 | {
"login": "fraboniface",
"id": 16835358,
"type": "User"
} | [
{
"name": "dataset bug",
"color": "2edb81"
}
] | false | [] |
735,158,725 | 794 | self.options cannot be converted to a Python object for pickling | Hi,
Currently I am trying to load csv file with customized read_options. And the latest master seems broken if we pass the ReadOptions object.
Here is a code snippet
```python
from datasets import load_dataset
from pyarrow.csv import ReadOptions
load_dataset("csv", data_files=["out.csv"], read_options=ReadOpt... | closed | https://github.com/huggingface/datasets/issues/794 | 2020-11-03T09:27:34 | 2020-11-19T17:35:38 | 2020-11-19T17:35:38 | {
"login": "hzqjyyx",
"id": 9635713,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
735,105,907 | 793 | [Datasets] fix discofuse links | The discofuse links were changed: https://github.com/google-research-datasets/discofuse/commit/d27641016eb5b3eb2af03c7415cfbb2cbebe8558.
The old links are broken
I changed the links and created the new dataset_infos.json.
Pinging @thomwolf @lhoestq for notification. | closed | https://github.com/huggingface/datasets/pull/793 | 2020-11-03T08:03:45 | 2020-11-03T08:16:41 | 2020-11-03T08:16:40 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [] | true | [] |
734,693,652 | 792 | KILT dataset: empty string in triviaqa input field | # What happened
Both train and test splits of the triviaqa dataset (part of the KILT benchmark) seem to have empty string in their input field (unlike the natural questions dataset, part of the same benchmark)
# Versions
KILT version is `1.0.0`
`datasets` version is `1.1.2`
[more here](https://gist.github.com/Pa... | closed | https://github.com/huggingface/datasets/issues/792 | 2020-11-02T17:33:54 | 2020-11-05T10:34:59 | 2020-11-05T10:34:59 | {
"login": "PaulLerner",
"id": 25532159,
"type": "User"
} | [] | false | [] |
734,656,518 | 791 | add amazon reviews | Adds the Amazon US Reviews dataset as requested in #353. Converted from [TensorFlow Datasets](https://www.tensorflow.org/datasets/catalog/amazon_us_reviews). cc @clmnt @sshleifer | closed | https://github.com/huggingface/datasets/pull/791 | 2020-11-02T16:42:57 | 2020-11-03T20:15:06 | 2020-11-03T16:43:57 | {
"login": "joeddav",
"id": 9353833,
"type": "User"
} | [] | true | [] |
734,470,197 | 790 | Error running pip install -e ".[dev]" on MacOS 10.13.6: faiss/python does not exist | I was following along with https://huggingface.co/docs/datasets/share_dataset.html#adding-tests-and-metadata-to-the-dataset when I ran into this error.
```sh
git clone https://github.com/huggingface/datasets
cd datasets
virtualenv venv -p python3 --system-site-packages
source venv/bin/activate
pip install -e ".... | closed | https://github.com/huggingface/datasets/issues/790 | 2020-11-02T12:36:35 | 2020-11-10T14:05:02 | 2020-11-10T14:05:02 | {
"login": "shawwn",
"id": 59632,
"type": "User"
} | [] | false | [] |
734,237,839 | 789 | dataset(ncslgr): add initial loading script | Its a small dataset, but its heavily annotated
https://www.bu.edu/asllrp/ncslgr.html
| closed | https://github.com/huggingface/datasets/pull/789 | 2020-11-02T06:50:10 | 2020-12-01T13:41:37 | 2020-12-01T13:41:36 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | true | [] |
734,136,124 | 788 | failed to reuse cache | I packed the `load_dataset ` in a function of class, and cached data in a directory. But when I import the class and use the function, the data still have to be downloaded again. The information (Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.28 GiB, post-processed: Unknown si... | closed | https://github.com/huggingface/datasets/issues/788 | 2020-11-02T02:42:36 | 2020-11-02T12:26:15 | 2020-11-02T12:26:15 | {
"login": "WangHexie",
"id": 31768052,
"type": "User"
} | [] | false | [] |
734,070,162 | 787 | Adding nli_tr dataset | Hello,
In this pull request, we have implemented the necessary interface to add our recent dataset [NLI-TR](https://github.com/boun-tabi/NLI-TR). The datasets will be presented on a full paper at EMNLP 2020 this month. [[arXiv link] ](https://arxiv.org/pdf/2004.14963.pdf)
The dataset is the neural machine transl... | closed | https://github.com/huggingface/datasets/pull/787 | 2020-11-01T21:49:44 | 2020-11-12T19:06:02 | 2020-11-12T19:06:02 | {
"login": "e-budur",
"id": 2246791,
"type": "User"
} | [] | true | [] |
733,761,717 | 786 | feat(dataset): multiprocessing _generate_examples | forking this out of #741, this issue is only regarding multiprocessing
I'd love if there was a dataset configuration parameter `workers`, where when it is `1` it behaves as it does right now, and when its `>1` maybe `_generate_examples` can also get the `pool` and return an iterable using the pool.
In my use case... | closed | https://github.com/huggingface/datasets/issues/786 | 2020-10-31T16:52:16 | 2023-01-16T10:59:13 | 2023-01-16T10:59:13 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | false | [] |
733,719,419 | 785 | feat(aslg_pc12): add dev and test data splits | For reproducibility sake, it's best if there are defined dev and test splits.
The original paper author did not define splits for the entire dataset, not for the sample loaded via this library, so I decided to define:
- 5/7th for train
- 1/7th for dev
- 1/7th for test
| closed | https://github.com/huggingface/datasets/pull/785 | 2020-10-31T13:25:38 | 2020-11-10T15:29:30 | 2020-11-10T15:29:30 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | true | [] |
733,700,463 | 784 | Issue with downloading Wikipedia data for low resource language | Hi, I tried to download Sundanese and Javanese wikipedia data with the following snippet
```
jv_wiki = datasets.load_dataset('wikipedia', '20200501.jv', beam_runner='DirectRunner')
su_wiki = datasets.load_dataset('wikipedia', '20200501.su', beam_runner='DirectRunner')
```
And I get the following error for these tw... | closed | https://github.com/huggingface/datasets/issues/784 | 2020-10-31T11:40:00 | 2022-02-09T17:50:16 | 2020-11-25T15:42:13 | {
"login": "SamuelCahyawijaya",
"id": 2826602,
"type": "User"
} | [] | false | [] |
733,536,254 | 783 | updated links to v1.3 of quail, fixed the description | updated links to v1.3 of quail, fixed the description | closed | https://github.com/huggingface/datasets/pull/783 | 2020-10-30T21:47:33 | 2020-11-29T23:05:19 | 2020-11-29T23:05:18 | {
"login": "annargrs",
"id": 1450322,
"type": "User"
} | [] | true | [] |
733,316,463 | 782 | Fix metric deletion when attribuets are missing | When you call `del` on a metric we want to make sure that the arrow attributes are not already deleted.
I just added `if hasattr(...)` to make sure it doesn't crash | closed | https://github.com/huggingface/datasets/pull/782 | 2020-10-30T16:16:10 | 2020-10-30T16:47:53 | 2020-10-30T16:47:52 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
733,168,609 | 781 | Add XNLI train set | I added the train set that was built using the translated MNLI.
Now you can load the dataset specifying one language:
```python
from datasets import load_dataset
xnli_en = load_dataset("xnli", "en")
print(xnli_en["train"][0])
# {'hypothesis': 'Product and geography are what make cream skimming work .', 'label':... | closed | https://github.com/huggingface/datasets/pull/781 | 2020-10-30T13:21:53 | 2022-06-09T23:26:46 | 2020-11-09T18:22:49 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
732,738,647 | 780 | Add ASNQ dataset | This pull request adds the ASNQ dataset. It is a dataset for answer sentence selection derived from Google Natural Questions (NQ) dataset (Kwiatkowski et al. 2019). The dataset details can be found in the paper at https://arxiv.org/abs/1911.04118
The dataset is authored by Siddhant Garg, Thuy Vu and Alessandro Mosch... | closed | https://github.com/huggingface/datasets/pull/780 | 2020-10-29T23:31:56 | 2020-11-10T09:26:23 | 2020-11-10T09:26:23 | {
"login": "mkserge",
"id": 2992022,
"type": "User"
} | [] | true | [] |
732,514,887 | 779 | Feature/fidelity metrics from emnlp2020 evaluating and characterizing human rationales | This metric computes fidelity (Yu et al. 2019, DeYoung et al. 2019) and normalized fidelity (Carton et al. 2020). | closed | https://github.com/huggingface/datasets/pull/779 | 2020-10-29T17:31:14 | 2023-07-11T09:36:30 | 2023-07-11T09:36:30 | {
"login": "rathoreanirudh",
"id": 11327413,
"type": "User"
} | [
{
"name": "transfer-to-evaluate",
"color": "E3165C"
}
] | true | [] |
732,449,652 | 778 | Unexpected behavior when loading cached csv file? | I read a csv file from disk and forgot so specify the right delimiter. When i read the csv file again specifying the right delimiter it had no effect since it was using the cached dataset. I am not sure if this is unwanted behavior since i can always specify `download_mode="force_redownload"`. But i think it would be n... | closed | https://github.com/huggingface/datasets/issues/778 | 2020-10-29T16:06:10 | 2020-10-29T21:21:27 | 2020-10-29T21:21:27 | {
"login": "dcfidalgo",
"id": 15979778,
"type": "User"
} | [] | false | [] |
732,376,648 | 777 | Better error message for uninitialized metric | When calling `metric.compute()` without having called `metric.add` or `metric.add_batch` at least once, the error was quite cryptic. I added a better error message
Fix #729 | closed | https://github.com/huggingface/datasets/pull/777 | 2020-10-29T14:42:50 | 2020-10-29T15:18:26 | 2020-10-29T15:18:24 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
732,343,550 | 776 | Allow custom split names in text dataset | The `text` dataset used to return only splits like train, test and validation. Other splits were ignored.
Now any split name is allowed.
I did the same for `json`, `pandas` and `csv`
Fix #735 | closed | https://github.com/huggingface/datasets/pull/776 | 2020-10-29T14:04:06 | 2020-10-30T13:46:45 | 2020-10-30T13:23:52 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
732,287,504 | 775 | Properly delete metrics when a process is killed | Tests are flaky when using metrics in distributed setup.
There is because of one test that make sure that using two possibly incompatible metric computation (same exp id) either works or raises the right error.
However if the error is raised, all the processes of the metric are killed, and the open files (arrow + loc... | closed | https://github.com/huggingface/datasets/pull/775 | 2020-10-29T12:52:07 | 2020-10-29T14:01:20 | 2020-10-29T14:01:19 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
732,265,741 | 774 | [ROUGE] Add description to Rouge metric | Add information about case sensitivity to ROUGE. | closed | https://github.com/huggingface/datasets/pull/774 | 2020-10-29T12:19:32 | 2020-10-29T17:55:50 | 2020-10-29T17:55:48 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [] | true | [] |
731,684,153 | 773 | Adding CC-100: Monolingual Datasets from Web Crawl Data | ## Adding a Dataset
- **Name:** CC-100: Monolingual Datasets from Web Crawl Data
- **Description:** https://twitter.com/alex_conneau/status/1321507120848625665
- **Paper:** https://arxiv.org/abs/1911.02116
- **Data:** http://data.statmt.org/cc-100/
- **Motivation:** A large scale multi-lingual language modeling da... | closed | https://github.com/huggingface/datasets/issues/773 | 2020-10-28T18:20:41 | 2022-01-26T13:22:54 | 2020-12-14T10:20:07 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
731,612,430 | 772 | Fix metric with cache dir | The cache_dir provided by the user was concatenated twice and therefore causing FileNotFound errors.
The tests didn't cover the case of providing `cache_dir=` for metrics because of a stupid issue (it was not using the right parameter).
I remove the double concatenation and I fixed the tests
Fix #728 | closed | https://github.com/huggingface/datasets/pull/772 | 2020-10-28T16:43:13 | 2020-10-29T09:34:44 | 2020-10-29T09:34:43 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
731,482,213 | 771 | Using `Dataset.map` with `n_proc>1` print multiple progress bars | When using `Dataset.map` with `n_proc > 1`, only one of the processes should print a progress bar (to make the output readable). Right now, `n_proc` progress bars are printed. | closed | https://github.com/huggingface/datasets/issues/771 | 2020-10-28T14:13:27 | 2023-02-13T20:16:39 | 2023-02-13T20:16:39 | {
"login": "sgugger",
"id": 35901082,
"type": "User"
} | [] | false | [] |
731,445,222 | 770 | Fix custom builder caching | The cache directory of a dataset didn't take into account additional parameters that the user could specify such as `features` or any parameter of the builder configuration kwargs (ex: `encoding` for the `text` dataset).
To fix that, the cache directory name now has a suffix that depends on all of them.
Fix #730
... | closed | https://github.com/huggingface/datasets/pull/770 | 2020-10-28T13:32:24 | 2020-10-29T09:36:03 | 2020-10-29T09:36:01 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
731,257,104 | 769 | How to choose proper download_mode in function load_dataset? | Hi, I am a beginner to datasets and I try to use datasets to load my csv file.
my csv file looks like this
```
text,label
"Effective but too-tepid biopic",3
"If you sometimes like to go to the movies to have fun , Wasabi is a good place to start .",4
"Emerges as something rare , an issue movie that 's so hones... | closed | https://github.com/huggingface/datasets/issues/769 | 2020-10-28T09:16:19 | 2022-02-22T12:22:52 | 2022-02-22T12:22:52 | {
"login": "jzq2000",
"id": 48550398,
"type": "User"
} | [] | false | [] |
730,908,060 | 768 | Add a `lazy_map` method to `Dataset` and `DatasetDict` | The library is great, but it would be even more awesome with a `lazy_map` method implemented on `Dataset` and `DatasetDict`. This would apply a function on a give item but when the item is requested. Two use cases:
1. load image on the fly
2. apply a random function and get different outputs at each epoch (like dat... | open | https://github.com/huggingface/datasets/issues/768 | 2020-10-27T22:33:03 | 2020-10-28T08:58:13 | null | {
"login": "sgugger",
"id": 35901082,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
730,771,610 | 767 | Add option for named splits when using ds.train_test_split | ### Feature Request 🚀
Can we add a way to name your splits when using the `.train_test_split` function?
In almost every use case I've come across, I have a `train` and a `test` split in my `DatasetDict`, and I want to create a `validation` split. Therefore, its kinda useless to get a `test` split back from `tra... | open | https://github.com/huggingface/datasets/issues/767 | 2020-10-27T19:59:44 | 2020-11-10T14:05:21 | null | {
"login": "nateraw",
"id": 32437151,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
730,669,596 | 766 | [GEM] add DART data-to-text generation dataset | ## Adding a Dataset
- **Name:** DART
- **Description:** DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.
- **P... | closed | https://github.com/huggingface/datasets/issues/766 | 2020-10-27T17:34:04 | 2020-12-03T13:37:18 | 2020-12-03T13:37:18 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
730,668,332 | 765 | [GEM] Add DART data-to-text generation dataset | ## Adding a Dataset
- **Name:** DART
- **Description:** DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.
- **P... | closed | https://github.com/huggingface/datasets/issues/765 | 2020-10-27T17:32:23 | 2020-10-27T17:34:21 | 2020-10-27T17:34:21 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
730,617,828 | 764 | Adding Issue Template for Dataset Requests | adding .github/ISSUE_TEMPLATE/add-dataset.md | closed | https://github.com/huggingface/datasets/pull/764 | 2020-10-27T16:37:08 | 2020-10-27T17:25:26 | 2020-10-27T17:25:25 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [] | true | [] |
730,593,631 | 763 | Fixed errors in bertscore related to custom baseline | [bertscore version 0.3.6 ](https://github.com/Tiiiger/bert_score) added support for custom baseline files. This update added extra argument `baseline_path` to BERTScorer class as well as some extra boolean parameters `use_custom_baseline` in functions like `get_hash(model, num_layers, idf, rescale_with_baseline, use_cu... | closed | https://github.com/huggingface/datasets/pull/763 | 2020-10-27T16:08:35 | 2020-10-28T17:59:25 | 2020-10-28T17:59:25 | {
"login": "juanjucm",
"id": 36761132,
"type": "User"
} | [] | true | [] |
730,586,972 | 762 | [GEM] Add Czech Restaurant data-to-text generation dataset | - Paper: https://www.aclweb.org/anthology/W19-8670.pdf
- Data: https://github.com/UFAL-DSG/cs_restaurant_dataset
- The dataset will likely be part of the GEM benchmark | closed | https://github.com/huggingface/datasets/issues/762 | 2020-10-27T16:00:47 | 2020-12-03T13:37:44 | 2020-12-03T13:37:44 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
729,898,867 | 761 | Downloaded datasets are not usable offline | I've been trying to use the IMDB dataset offline, but after downloading it and turning off the internet it still raises an error from the ```requests``` library trying to reach for the online dataset.
Is this the intended behavior ?
(Sorry, I wrote the the first version of this issue while still on nlp 0.3.0). | closed | https://github.com/huggingface/datasets/issues/761 | 2020-10-26T20:54:46 | 2022-02-15T10:32:28 | 2022-02-15T10:32:28 | {
"login": "ghazi-f",
"id": 25091538,
"type": "User"
} | [] | false | [] |
729,637,917 | 760 | Add meta-data to the HANS dataset | The current version of the [HANS dataset](https://github.com/huggingface/datasets/blob/master/datasets/hans/hans.py) is missing the additional information provided for each example, including the sentence parses, heuristic and subcase. | closed | https://github.com/huggingface/datasets/issues/760 | 2020-10-26T14:56:53 | 2020-12-03T13:38:34 | 2020-12-03T13:38:34 | {
"login": "yjernite",
"id": 10469459,
"type": "User"
} | [
{
"name": "good first issue",
"color": "7057ff"
},
{
"name": "dataset bug",
"color": "2edb81"
}
] | false | [] |
729,046,916 | 759 | (Load dataset failure) ConnectionError: Couldn’t reach https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/cnn_dailymail/cnn_dailymail.py | Hey, I want to load the cnn-dailymail dataset for fine-tune.
I write the code like this
from datasets import load_dataset
test_dataset = load_dataset(“cnn_dailymail”, “3.0.0”, split=“train”)
And I got the following errors.
Traceback (most recent call last):
File “test.py”, line 7, in
test_dataset = load_da... | closed | https://github.com/huggingface/datasets/issues/759 | 2020-10-25T15:34:57 | 2023-09-13T23:56:51 | 2021-08-04T18:10:09 | {
"login": "AI678",
"id": 63541083,
"type": "User"
} | [] | false | [] |
728,638,559 | 758 | Process 0 very slow when using num_procs with map to tokenizer | <img width="721" alt="image" src="https://user-images.githubusercontent.com/17930170/97066109-776d0d00-15ed-11eb-8bba-bb4d2e0fcc33.png">
The code I am using is
```
dataset = load_dataset("text", data_files=[file_path], split='train')
dataset = dataset.map(lambda ex: tokenizer(ex["text"], add_speci... | closed | https://github.com/huggingface/datasets/issues/758 | 2020-10-24T02:40:20 | 2020-10-28T03:59:46 | 2020-10-28T03:59:45 | {
"login": "ksjae",
"id": 17930170,
"type": "User"
} | [] | false | [] |
728,241,494 | 757 | CUDA out of memory | In your dataset ,cuda run out of memory as long as the trainer begins:
however, without changing any other element/parameter,just switch dataset to `LineByLineTextDataset`,everything becames OK.
| closed | https://github.com/huggingface/datasets/issues/757 | 2020-10-23T13:57:00 | 2020-12-23T14:06:29 | 2020-12-23T14:06:29 | {
"login": "li1117heex",
"id": 47059217,
"type": "User"
} | [] | false | [] |
728,211,373 | 756 | Start community-provided dataset docs | Continuation of #736 with clean fork.
#### Old description
This is what I did to get the pseudo-labels updated. Not sure if it generalizes, but I figured I would write it down. It was pretty easy because all I had to do was make properly formatted directories and change URLs.
In slack @thomwolf called it a user-... | closed | https://github.com/huggingface/datasets/pull/756 | 2020-10-23T13:17:41 | 2020-10-26T12:55:20 | 2020-10-26T12:55:19 | {
"login": "sshleifer",
"id": 6045025,
"type": "User"
} | [] | true | [] |
728,203,821 | 755 | Start community-provided dataset docs V2 | closed | https://github.com/huggingface/datasets/pull/755 | 2020-10-23T13:07:30 | 2020-10-23T13:15:37 | 2020-10-23T13:15:37 | {
"login": "sshleifer",
"id": 6045025,
"type": "User"
} | [] | true | [] | |
727,863,105 | 754 | Use full released xsum dataset | #672 Fix xsum to expand coverage and include IDs
Code based on parser from older version of `datasets/xsum/xsum.py`
@lhoestq | closed | https://github.com/huggingface/datasets/pull/754 | 2020-10-23T03:29:49 | 2021-01-01T03:11:56 | 2020-10-26T12:56:58 | {
"login": "jbragg",
"id": 2238344,
"type": "User"
} | [] | true | [] |
727,434,935 | 753 | Fix doc links to viewer | It seems #733 forgot some links in the doc :) | closed | https://github.com/huggingface/datasets/pull/753 | 2020-10-22T14:20:16 | 2020-10-23T08:42:11 | 2020-10-23T08:42:11 | {
"login": "Pierrci",
"id": 5020707,
"type": "User"
} | [] | true | [] |
726,917,801 | 752 | Clicking on a metric in the search page points to datasets page giving "Missing dataset" warning | Hi! Sorry if this isn't the right place to talk about the website, I just didn't exactly where to write this.
Searching a metric in https://huggingface.co/metrics gives the right results but clicking on a metric (E.g ROUGE) points to https://huggingface.co/datasets/rouge. Clicking on a metric without searching point... | closed | https://github.com/huggingface/datasets/issues/752 | 2020-10-21T22:56:23 | 2020-10-22T16:19:42 | 2020-10-22T16:19:42 | {
"login": "ogabrielluiz",
"id": 24829397,
"type": "User"
} | [] | false | [] |
726,820,191 | 751 | Error loading ms_marco v2.1 using load_dataset() | Code:
`dataset = load_dataset('ms_marco', 'v2.1')`
Error:
```
`---------------------------------------------------------------------------
JSONDecodeError Traceback (most recent call last)
<ipython-input-16-34378c057212> in <module>()
9
10 # Downloading and loading a data... | closed | https://github.com/huggingface/datasets/issues/751 | 2020-10-21T19:54:43 | 2020-11-05T01:31:57 | 2020-11-05T01:31:57 | {
"login": "JainSahit",
"id": 30478979,
"type": "User"
} | [] | false | [] |
726,589,446 | 750 | load_dataset doesn't include `features` in its hash | It looks like the function `load_dataset` does not include what's passed in the `features` argument when creating a hash for a given dataset. As a result, if a user includes new features from an already downloaded dataset, those are ignored.
Example: some models on the hub have a different ordering for the labels t... | closed | https://github.com/huggingface/datasets/issues/750 | 2020-10-21T15:16:41 | 2020-10-29T09:36:01 | 2020-10-29T09:36:01 | {
"login": "sgugger",
"id": 35901082,
"type": "User"
} | [] | false | [] |
726,366,062 | 749 | [XGLUE] Adding new dataset | XGLUE is a multilingual GLUE like dataset propesed in this [paper](https://arxiv.org/pdf/2004.01401.pdf).
I'm planning on adding the dataset to the library myself in a couple of weeks.
Also tagging @JetRunner @qiweizhen in case I need some guidance | closed | https://github.com/huggingface/datasets/issues/749 | 2020-10-21T10:51:36 | 2022-09-30T11:35:30 | 2021-01-06T10:02:55 | {
"login": "patrickvonplaten",
"id": 23423619,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
726,196,589 | 748 | New version of CompGuessWhat?! with refined annotations | This pull request introduces a few fixes to the annotations for VisualGenome in the CompGuessWhat?! original split. | closed | https://github.com/huggingface/datasets/pull/748 | 2020-10-21T06:55:41 | 2020-10-21T08:52:42 | 2020-10-21T08:46:19 | {
"login": "aleSuglia",
"id": 1479733,
"type": "User"
} | [] | true | [] |
725,884,704 | 747 | Add Quail question answering dataset | QuAIL is a multi-domain RC dataset featuring news, blogs, fiction and user stories. Each domain is represented by 200 texts, which gives us a 4-way data split. The texts are 300-350 word excerpts from CC-licensed texts that were hand-picked so as to make sense to human readers without larger context. Domain diversit... | closed | https://github.com/huggingface/datasets/pull/747 | 2020-10-20T19:33:14 | 2020-10-21T08:35:15 | 2020-10-21T08:35:15 | {
"login": "sai-prasanna",
"id": 3595526,
"type": "User"
} | [] | true | [] |
725,627,235 | 746 | dataset(ngt): add ngt dataset initial loading script | Currently only making the paths to the annotation ELAN (eaf) file and videos available.
This is the first accessible way to download this dataset, which is not manual file-by-file.
Only downloading the necessary files, the annotation files are very small, 20MB for all of them, but the video files are large, 100GB i... | closed | https://github.com/huggingface/datasets/pull/746 | 2020-10-20T14:04:58 | 2021-03-23T06:19:38 | 2021-03-23T06:19:38 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | true | [] |
725,589,352 | 745 | Fix emotion description | Fixes the description of the emotion dataset to reflect the class names observed in the data, not the ones described in the paper.
I also took the liberty to make use of `ClassLabel` for the emotion labels. | closed | https://github.com/huggingface/datasets/pull/745 | 2020-10-20T13:28:39 | 2021-04-22T14:47:31 | 2020-10-21T08:38:27 | {
"login": "lewtun",
"id": 26859204,
"type": "User"
} | [] | true | [] |
724,918,448 | 744 | Dataset Explorer Doesn't Work for squad_es and squad_it | https://huggingface.co/nlp/viewer/?dataset=squad_es
https://huggingface.co/nlp/viewer/?dataset=squad_it
Both pages show "OSError: [Errno 28] No space left on device". | closed | https://github.com/huggingface/datasets/issues/744 | 2020-10-19T19:34:12 | 2020-10-26T16:36:17 | 2020-10-26T16:36:17 | {
"login": "gaotongxiao",
"id": 22607038,
"type": "User"
} | [
{
"name": "nlp-viewer",
"color": "94203D"
}
] | false | [] |
724,703,980 | 743 | load_dataset for CSV files not working | Similar to #622, I've noticed there is a problem when trying to load a CSV file with datasets.
`
from datasets import load_dataset
`
`
dataset = load_dataset("csv", data_files=["./sample_data.csv"], delimiter="\t", column_names=["title", "text"], script_version="master")
`
Displayed error:
`
...
ArrowInva... | open | https://github.com/huggingface/datasets/issues/743 | 2020-10-19T14:53:51 | 2025-04-24T06:35:25 | null | {
"login": "iliemihai",
"id": 2815308,
"type": "User"
} | [] | false | [] |
724,509,974 | 742 | Add OCNLI, a new CLUE dataset | OCNLI stands for Original Chinese Natural Language Inference. It is a corpus for
Chinese Natural Language Inference, collected following closely the procedures of MNLI,
but with enhanced strategies aiming for more challenging inference pairs. We want to
emphasize we did not use hu... | closed | https://github.com/huggingface/datasets/pull/742 | 2020-10-19T11:06:33 | 2020-10-22T16:19:49 | 2020-10-22T16:19:48 | {
"login": "JetRunner",
"id": 22514219,
"type": "User"
} | [] | true | [] |
723,924,275 | 741 | Creating dataset consumes too much memory | Moving this issue from https://github.com/huggingface/datasets/pull/722 here, because it seems like a general issue.
Given the following dataset example, where each example saves a sequence of 260x210x3 images (max length 400):
```python
def _generate_examples(self, base_path, split):
""" Yields examp... | closed | https://github.com/huggingface/datasets/issues/741 | 2020-10-18T06:07:06 | 2022-02-15T17:03:10 | 2022-02-15T17:03:10 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | false | [] |
723,047,958 | 740 | Fix TREC urls | The old TREC urls are now redirections.
I updated the urls to the new ones, since we don't support redirections for downloads.
Fix #737 | closed | https://github.com/huggingface/datasets/pull/740 | 2020-10-16T09:11:28 | 2020-10-19T08:54:37 | 2020-10-19T08:54:36 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
723,044,066 | 739 | Add wiki dpr multiset embeddings | There are two DPR encoders, one trained on Natural Questions and one trained on a multiset/hybrid dataset.
Previously only the embeddings from the encoder trained on NQ were available. I'm adding the ones from the encoder trained on the multiset/hybrid dataset.
In the configuration you can now specify `embeddings_nam... | closed | https://github.com/huggingface/datasets/pull/739 | 2020-10-16T09:05:49 | 2020-11-26T14:02:50 | 2020-11-26T14:02:49 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
723,033,923 | 738 | Replace seqeval code with original classification_report for simplicity | Recently, the original seqeval has enabled us to get per type scores and overall scores as a dictionary.
This PR replaces the current code with the original function(`classification_report`) to simplify it.
Also, the original code has been updated to fix #352.
- Related issue: https://github.com/chakki-works/seq... | closed | https://github.com/huggingface/datasets/pull/738 | 2020-10-16T08:51:45 | 2021-01-21T16:07:15 | 2020-10-19T10:31:12 | {
"login": "Hironsan",
"id": 6737785,
"type": "User"
} | [] | true | [] |
722,463,923 | 737 | Trec Dataset Connection Error | **Datasets Version:**
1.1.2
**Python Version:**
3.6/3.7
**Code:**
```python
from datasets import load_dataset
load_dataset("trec")
```
**Expected behavior:**
Download Trec dataset and load Dataset object
**Current Behavior:**
Get a connection error saying it couldn't reach http://cogcomp.org/Data/... | closed | https://github.com/huggingface/datasets/issues/737 | 2020-10-15T15:57:53 | 2020-10-19T08:54:36 | 2020-10-19T08:54:36 | {
"login": "aychang95",
"id": 10554495,
"type": "User"
} | [] | false | [] |
722,348,191 | 736 | Start community-provided dataset docs | This is one I did to get the pseudo-labels updated. Not sure if it generalizes, but I figured I would write it down. It was pretty easy because all I had to do was make properly formatted directories and change URLs.
+ In slack @thomwolf called it a `user-namespace` dataset, but the docs call it `community dataset`... | closed | https://github.com/huggingface/datasets/pull/736 | 2020-10-15T13:41:39 | 2020-10-23T13:15:28 | 2020-10-23T13:15:28 | {
"login": "sshleifer",
"id": 6045025,
"type": "User"
} | [] | true | [] |
722,225,270 | 735 | Throw error when an unexpected key is used in data_files | I have found that only "train", "validation" and "test" are valid keys in the `data_files` argument. When you use any other ones, those attached files are silently ignored - leading to unexpected behaviour for the users.
So the following, unintuitively, returns only one key (namely `train`).
```python
datasets =... | closed | https://github.com/huggingface/datasets/issues/735 | 2020-10-15T10:55:27 | 2020-10-30T13:23:52 | 2020-10-30T13:23:52 | {
"login": "BramVanroy",
"id": 2779410,
"type": "User"
} | [] | false | [] |
721,767,848 | 734 | Fix GLUE metric description | Small typo: the description says translation instead of prediction. | closed | https://github.com/huggingface/datasets/pull/734 | 2020-10-14T20:44:14 | 2020-10-15T09:27:43 | 2020-10-15T09:27:42 | {
"login": "sgugger",
"id": 35901082,
"type": "User"
} | [] | true | [] |
721,366,744 | 733 | Update link to dataset viewer | Change 404 error links in quick tour to working ones | closed | https://github.com/huggingface/datasets/pull/733 | 2020-10-14T11:13:23 | 2020-10-14T14:07:31 | 2020-10-14T14:07:31 | {
"login": "negedng",
"id": 12969168,
"type": "User"
} | [] | true | [] |
721,359,448 | 732 | dataset(wlasl): initial loading script | takes like 9-10 hours to download all of the videos for the dataset, but it does finish :) | closed | https://github.com/huggingface/datasets/pull/732 | 2020-10-14T11:01:42 | 2021-03-23T06:19:43 | 2021-03-23T06:19:43 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | true | [] |
721,142,985 | 731 | dataset(aslg_pc12): initial loading script | This contains the only current public part of this corpus.
The rest of the corpus is not yet been made public, but this sample is still being used by researchers. | closed | https://github.com/huggingface/datasets/pull/731 | 2020-10-14T05:14:37 | 2020-10-28T15:27:06 | 2020-10-28T15:27:06 | {
"login": "AmitMY",
"id": 5757359,
"type": "User"
} | [] | true | [] |
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