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} | [] | closed | false | null | [] | null | 3 | 2020-12-28T18:16:09 | 2021-01-05T12:05:08 | 2021-01-03T17:58:05 | NONE | null | When loading the NarrativeQA dataset with `load_dataset('narrativeqa')` as given in the documentation [here](https://huggingface.co/datasets/narrativeqa), I receive a cascade of exceptions, ending with
FileNotFoundError: Couldn't find file locally at narrativeqa/narrativeqa.py, or remotely at
https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/narrativeqa/narrativeqa.py or
https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/narrativeqa/narrativeqa.py
Workaround: manually copy the `narrativeqa.py` builder into my local directory with
curl https://raw.githubusercontent.com/huggingface/datasets/master/datasets/narrativeqa/narrativeqa.py -o narrativeqa.py
and load the dataset as `load_dataset('narrativeqa.py')` everything works fine. I'm on datasets v1.1.3 using Python 3.6.10. | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-28T17:09:48 | 2021-01-04T14:08:57 | 2021-01-04T14:08:56 | MEMBER | null | In some dataset cards the homepage field in the `Dataset Description` section was missing/empty | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-28T16:09:09 | 2021-01-07T10:08:14 | 2021-01-07T10:08:13 | MEMBER | null | `part-of-speech-tagging` was not part of the tagging taxonomy under `structure-prediction` | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-28T12:27:07 | 2022-10-05T12:40:34 | 2022-10-05T12:40:34 | NONE | null | Hi! I'm getting an error when trying to load **HoVeR** dataset. Another one (**SQuAD**) does work for me. I'm using the latest (1.1.3) version of the library.
Steps to reproduce the error:
```python
>>> from datasets import load_dataset
>>> dataset = load_dataset("hover")
Traceback (most recent call last):
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/load.py", line 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache
raise FileNotFoundError("Couldn't find file at {}".format(url))
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/hover/hover.py
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/load.py", line 278, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache
raise FileNotFoundError("Couldn't find file at {}".format(url))
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/hover/hover.py
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/Users/urikz/anaconda/envs/mentionmemory/lib/python3.7/site-packages/datasets/load.py", line 282, in prepare_module
combined_path, github_file_path, file_path
FileNotFoundError: Couldn't find file locally at hover/hover.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/hover/hover.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/hover/hover.py
``` | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-28T08:35:34 | 2020-12-28T08:38:07 | 2020-12-28T08:38:07 | NONE | null | ```
>>> from datasets import load_dataset
>>> dataset = load_dataset("social_bias_frames")
...
Downloading and preparing dataset social_bias_frames/default
...
~/.pyenv/versions/3.7.6/lib/python3.7/site-packages/datasets/utils/file_utils.py in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, resume_download, user_agent, local_files_only, use_etag)
484 )
485 elif response is not None and response.status_code == 404:
--> 486 raise FileNotFoundError("Couldn't find file at {}".format(url))
487 raise ConnectionError("Couldn't reach {}".format(url))
488
FileNotFoundError: Couldn't find file at https://homes.cs.washington.edu/~msap/social-bias-frames/SocialBiasFrames_v2.tgz
```
[Here](https://homes.cs.washington.edu/~msap/social-bias-frames/) we find button `Download data` with the correct URL for the data: https://homes.cs.washington.edu/~msap/social-bias-frames/SBIC.v2.tgz | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-28T02:43:37 | 2021-01-04T13:35:25 | 2021-01-04T13:35:24 | CONTRIBUTOR | null | This is the dataset used to train the Ollie open information extraction algorithm. It has over 21M sentences. See http://knowitall.github.io/ollie/ for more details. | {
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] | closed | false | null | [] | null | 5 | 2020-12-27T21:26:28 | 2021-08-03T05:07:29 | 2021-08-03T05:07:29 | CONTRIBUTOR | null | ```python
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/datasets/load.py in prepare_module(path, script_version, download_config, download_mode, dataset, force_local_path, **download_kwargs)
267 try:
--> 268 local_path = cached_path(file_path, download_config=download_config)
269 except FileNotFoundError:
7 frames
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.0.2/datasets/muchocine/muchocine.py
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/muchocine/muchocine.py
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/datasets/load.py in prepare_module(path, script_version, download_config, download_mode, dataset, force_local_path, **download_kwargs)
281 raise FileNotFoundError(
282 "Couldn't find file locally at {}, or remotely at {} or {}".format(
--> 283 combined_path, github_file_path, file_path
284 )
285 )
FileNotFoundError: Couldn't find file locally at muchocine/muchocine.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.0.2/datasets/muchocine/muchocine.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/muchocine/muchocine.py
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1640/comments | https://api.github.com/repos/huggingface/datasets/issues/1640/events | https://github.com/huggingface/datasets/pull/1640 | 774,921,836 | MDExOlB1bGxSZXF1ZXN0NTQ1NzI2NzY4 | 1,640 | Fix "'BertTokenizerFast' object has no attribute 'max_len'" | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-26T19:25:41 | 2020-12-28T17:26:35 | 2020-12-28T17:26:35 | CONTRIBUTOR | null | Tensorflow 2.3.0 gives:
FutureWarning: The `max_len` attribute has been deprecated and will be removed in a future version, use `model_max_length` instead.
Tensorflow 2.4.0 gives:
AttributeError 'BertTokenizerFast' object has no attribute 'max_len' | {
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https://api.github.com/repos/huggingface/datasets/issues/1639 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1639/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1639/comments | https://api.github.com/repos/huggingface/datasets/issues/1639/events | https://github.com/huggingface/datasets/issues/1639 | 774,903,472 | MDU6SXNzdWU3NzQ5MDM0NzI= | 1,639 | bug with sst2 in glue | {
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} | [] | closed | false | null | [] | null | 3 | 2020-12-26T16:57:23 | 2022-10-05T12:40:16 | 2022-10-05T12:40:16 | NONE | null | Hi
I am getting very low accuracy on SST2 I investigate this and observe that for this dataset sentences are tokenized, while this is correct for the other datasets in GLUE, please see below.
Is there any alternatives I could get untokenized sentences? I am unfortunately under time pressure to report some results on this dataset. thank you for your help. @lhoestq
```
>>> a = datasets.load_dataset('glue', 'sst2', split="validation", script_version="master")
Reusing dataset glue (/julia/datasets/glue/sst2/1.0.0/7c99657241149a24692c402a5c3f34d4c9f1df5ac2e4c3759fadea38f6cb29c4)
>>> a[:10]
{'idx': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 'label': [1, 0, 1, 1, 0, 1, 0, 0, 1, 0], 'sentence': ["it 's a charming and often affecting journey . ", 'unflinchingly bleak and desperate ', 'allows us to hope that nolan is poised to embark a major career as a commercial yet inventive filmmaker . ', "the acting , costumes , music , cinematography and sound are all astounding given the production 's austere locales . ", "it 's slow -- very , very slow . ", 'although laced with humor and a few fanciful touches , the film is a refreshingly serious look at young women . ', 'a sometimes tedious film . ', "or doing last year 's taxes with your ex-wife . ", "you do n't have to know about music to appreciate the film 's easygoing blend of comedy and romance . ", "in exactly 89 minutes , most of which passed as slowly as if i 'd been sitting naked on an igloo , formula 51 sank from quirky to jerky to utter turkey . "]}
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1638/comments | https://api.github.com/repos/huggingface/datasets/issues/1638/events | https://github.com/huggingface/datasets/pull/1638 | 774,869,184 | MDExOlB1bGxSZXF1ZXN0NTQ1Njg5ODQ5 | 1,638 | Add id_puisi dataset | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-26T12:41:55 | 2020-12-30T16:34:17 | 2020-12-30T16:34:17 | CONTRIBUTOR | null | Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author. :) | {
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https://api.github.com/repos/huggingface/datasets/issues/1637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1637/comments | https://api.github.com/repos/huggingface/datasets/issues/1637/events | https://github.com/huggingface/datasets/pull/1637 | 774,710,014 | MDExOlB1bGxSZXF1ZXN0NTQ1NTc1NTMw | 1,637 | Added `pn_summary` dataset | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-25T11:01:24 | 2021-01-04T13:43:19 | 2021-01-04T13:43:19 | CONTRIBUTOR | null | #1635
You did a great job with the fluent procedure regarding adding a dataset. I took the chance to add the dataset on my own. Thank you for your awesome job, and I hope this dataset found the researchers happy, specifically those interested in Persian Language (Farsi)! | {
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https://api.github.com/repos/huggingface/datasets/issues/1636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1636/comments | https://api.github.com/repos/huggingface/datasets/issues/1636/events | https://github.com/huggingface/datasets/issues/1636 | 774,574,378 | MDU6SXNzdWU3NzQ1NzQzNzg= | 1,636 | winogrande cannot be dowloaded | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-24T22:28:22 | 2022-10-05T12:35:44 | 2022-10-05T12:35:44 | NONE | null | Hi,
I am getting this error when trying to run the codes on the cloud. Thank you for any suggestion and help on this @lhoestq
```
File "./finetune_trainer.py", line 318, in <module>
main()
File "./finetune_trainer.py", line 148, in main
for task in data_args.tasks]
File "./finetune_trainer.py", line 148, in <listcomp>
for task in data_args.tasks]
File "/workdir/seq2seq/data/tasks.py", line 65, in get_dataset
dataset = self.load_dataset(split=split)
File "/workdir/seq2seq/data/tasks.py", line 466, in load_dataset
return datasets.load_dataset('winogrande', 'winogrande_l', split=split)
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 487, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/winogrande/winogrande.py
yo/0 I1224 14:17:46.419031 31226 main shadow.py:122 > Traceback (most recent call last):
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.6/dist-packages/torch/distributed/launch.py", line 260, in <module>
main()
File "/usr/local/lib/python3.6/dist-packages/torch/distributed/launch.py", line 256, in main
cmd=cmd)
``` | {
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] | closed | false | null | [] | null | 0 | 2020-12-24T17:47:12 | 2021-01-04T15:11:04 | 2021-01-04T15:11:04 | CONTRIBUTOR | null | Assembling datasets tailored to different tasks and languages is a precious target. This would be great to have this dataset included.
## Adding a Dataset
- **Name:** *pn-summary*
- **Description:** *A well-structured summarization dataset for the Persian language consists of 93,207 records. It is prepared for Abstractive/Extractive tasks (like cnn_dailymail for English). It can also be used in other scopes like Text Generation, Title Generation, and News Category Classification.*
- **Paper:** *https://arxiv.org/abs/2012.11204*
- **Data:** *https://github.com/hooshvare/pn-summary/#download*
- **Motivation:** *It is the first Persian abstractive/extractive Text summarization dataset (like cnn_dailymail for English)!*
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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https://api.github.com/repos/huggingface/datasets/issues/1634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1634/comments | https://api.github.com/repos/huggingface/datasets/issues/1634/events | https://github.com/huggingface/datasets/issues/1634 | 774,487,934 | MDU6SXNzdWU3NzQ0ODc5MzQ= | 1,634 | Inspecting datasets per category | {
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} | [] | closed | false | null | [] | null | 4 | 2020-12-24T15:26:34 | 2022-10-04T14:57:33 | 2022-10-04T14:57:33 | NONE | null | Hi
Is there a way I could get all NLI datasets/all QA datasets to get some understanding of available datasets per category? this is hard for me to inspect the datasets one by one in the webpage, thanks for the suggestions @lhoestq | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-24T13:11:54 | 2020-12-30T17:18:49 | 2020-12-30T17:18:49 | NONE | null | Hi,
there is extra "\n" in labels of social_i_qa datasets, no big deal, but I was wondering if you could remove it to make it consistent.
so label is 'label': '1\n', not '1'
thanks
```
>>> import datasets
>>> from datasets import load_dataset
>>> dataset = load_dataset(
... 'social_i_qa')
cahce dir /julia/cache/datasets
Downloading: 4.72kB [00:00, 3.52MB/s]
cahce dir /julia/cache/datasets
Downloading: 2.19kB [00:00, 1.81MB/s]
Using custom data configuration default
Reusing dataset social_i_qa (/julia/datasets/social_i_qa/default/0.1.0/4a4190cc2d2482d43416c2167c0c5dccdd769d4482e84893614bd069e5c3ba06)
>>> dataset['train'][0]
{'answerA': 'like attending', 'answerB': 'like staying home', 'answerC': 'a good friend to have', 'context': 'Cameron decided to have a barbecue and gathered her friends together.', 'label': '1\n', 'question': 'How would Others feel as a result?'}
```
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] | closed | false | null | [] | null | 0 | 2020-12-24T12:40:14 | 2021-02-05T15:49:25 | 2021-02-05T15:49:25 | CONTRIBUTOR | null | Hi, this would be great to have this dataset included. I might be missing something, but I could not find it in the list of already included datasets. Thank you.
## Adding a Dataset
- **Name:** SICK
- **Description:** SICK consists of about 10,000 English sentence pairs that include many examples of the lexical, syntactic, and semantic phenomena.
- **Paper:** https://www.aclweb.org/anthology/L14-1314/
- **Data:** http://marcobaroni.org/composes/sick.html
- **Motivation:** This dataset is well-known in the NLP community used for recognizing entailment between sentences.
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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} | [] | closed | false | null | [] | null | 0 | 2020-12-24T11:45:52 | 2020-12-28T17:35:41 | 2020-12-28T17:16:04 | CONTRIBUTOR | null | I made small change for citation | {
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] | closed | false | null | [] | null | 3 | 2020-12-24T11:01:31 | 2022-10-05T12:36:12 | 2022-10-05T12:36:12 | CONTRIBUTOR | null | Hi, this would be great to have this dataset included.
## Adding a Dataset
- **Name:** UKP Argument Aspect Similarity Corpus
- **Description:** The UKP Argument Aspect Similarity Corpus (UKP ASPECT) includes 3,595 sentence pairs over 28 controversial topics. Each sentence pair was annotated via crowdsourcing as either “high similarity”, “some similarity”, “no similarity” or “not related” with respect to the topic.
- **Paper:** https://www.aclweb.org/anthology/P19-1054/
- **Data:** https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/1998
- **Motivation:** this is one of the datasets currently used frequently in recent adapter papers like https://arxiv.org/pdf/2005.00247.pdf
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
Thank you | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-24T08:02:31 | 2020-12-28T17:23:39 | 2020-12-28T17:23:39 | CONTRIBUTOR | null | - add test set labels provided by @ekapolc
- refactor `star_rating` to a `datasets.features.ClassLabel` field | {
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https://api.github.com/repos/huggingface/datasets/issues/1627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1627/comments | https://api.github.com/repos/huggingface/datasets/issues/1627/events | https://github.com/huggingface/datasets/issues/1627 | 773,960,255 | MDU6SXNzdWU3NzM5NjAyNTU= | 1,627 | `Dataset.map` disable progress bar | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-23T17:53:42 | 2023-02-08T02:37:47 | 2020-12-26T19:57:17 | NONE | null | I can't find anything to turn off the `tqdm` progress bars while running a preprocessing function using `Dataset.map`. I want to do akin to `disable_tqdm=True` in the case of `transformers`. Is there something like that? | {
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https://api.github.com/repos/huggingface/datasets/issues/1626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1626/comments | https://api.github.com/repos/huggingface/datasets/issues/1626/events | https://github.com/huggingface/datasets/pull/1626 | 773,840,368 | MDExOlB1bGxSZXF1ZXN0NTQ0ODYxMDE4 | 1,626 | Fix dataset_dict.shuffle with single seed | {
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I added support for single integer used in `DatasetDict.shuffle`. Previously only a dictionary of seed was allowed.
Moreover I added the missing `seed` parameter. Previously only `seeds` was allowed. | {
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https://api.github.com/repos/huggingface/datasets/issues/1625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1625/comments | https://api.github.com/repos/huggingface/datasets/issues/1625/events | https://github.com/huggingface/datasets/pull/1625 | 773,771,596 | MDExOlB1bGxSZXF1ZXN0NTQ0Nzk4MDM1 | 1,625 | Fixed bug in the shape property | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-23T13:33:21 | 2021-01-02T23:22:52 | 2020-12-23T14:13:13 | CONTRIBUTOR | null | Fix to the bug reported in issue #1622. Just replaced `return tuple(self._indices.num_rows, self._data.num_columns)` by `return (self._indices.num_rows, self._data.num_columns)`. | {
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https://api.github.com/repos/huggingface/datasets/issues/1624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1624/comments | https://api.github.com/repos/huggingface/datasets/issues/1624/events | https://github.com/huggingface/datasets/issues/1624 | 773,669,700 | MDU6SXNzdWU3NzM2Njk3MDA= | 1,624 | Cannot download ade_corpus_v2 | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-23T10:58:14 | 2021-08-03T05:08:54 | 2021-08-03T05:08:54 | NONE | null | I tried this to get the dataset following this url : https://huggingface.co/datasets/ade_corpus_v2
but received this error :
`Traceback (most recent call last):
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/load.py", line 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache
raise FileNotFoundError("Couldn't find file at {}".format(url))
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/ade_corpus_v2/ade_corpus_v2.py
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/load.py", line 278, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache
raise FileNotFoundError("Couldn't find file at {}".format(url))
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/ade_corpus_v2/ade_corpus_v2.py
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/load.py", line 282, in prepare_module
combined_path, github_file_path, file_path
FileNotFoundError: Couldn't find file locally at ade_corpus_v2/ade_corpus_v2.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/ade_corpus_v2/ade_corpus_v2.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/ade_corpus_v2/ade_corpus_v2.py`
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https://api.github.com/repos/huggingface/datasets/issues/1623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1623/comments | https://api.github.com/repos/huggingface/datasets/issues/1623/events | https://github.com/huggingface/datasets/pull/1623 | 772,950,710 | MDExOlB1bGxSZXF1ZXN0NTQ0MTI2ODQ4 | 1,623 | Add CLIMATE-FEVER dataset | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-22T13:34:05 | 2020-12-22T17:53:53 | 2020-12-22T17:53:53 | CONTRIBUTOR | null | As suggested by @SBrandeis , fresh PR that adds CLIMATE-FEVER. Replaces PR #1579.
---
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
* Homepage: http://climatefever.ai
* Paper: https://arxiv.org/abs/2012.00614 | {
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https://api.github.com/repos/huggingface/datasets/issues/1622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1622/comments | https://api.github.com/repos/huggingface/datasets/issues/1622/events | https://github.com/huggingface/datasets/issues/1622 | 772,940,768 | MDU6SXNzdWU3NzI5NDA3Njg= | 1,622 | Can't call shape on the output of select() | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-22T13:18:40 | 2020-12-23T13:37:13 | 2020-12-23T13:37:12 | CONTRIBUTOR | null | I get the error `TypeError: tuple expected at most 1 argument, got 2` when calling `shape` on the output of `select()`.
It's line 531 in shape in arrow_dataset.py that causes the problem:
``return tuple(self._indices.num_rows, self._data.num_columns)``
This makes sense, since `tuple(num1, num2)` is not a valid call.
Full code to reproduce:
```python
dataset = load_dataset("cnn_dailymail", "3.0.0")
train_set = dataset["train"]
t = train_set.select(range(10))
print(t.shape) | {
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https://api.github.com/repos/huggingface/datasets/issues/1621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1621/comments | https://api.github.com/repos/huggingface/datasets/issues/1621/events | https://github.com/huggingface/datasets/pull/1621 | 772,940,417 | MDExOlB1bGxSZXF1ZXN0NTQ0MTE4MTAz | 1,621 | updated dutch_social.py for loading jsonl (lines instead of list) files | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-22T13:18:11 | 2020-12-23T11:51:51 | 2020-12-23T11:51:51 | CONTRIBUTOR | null | the data_loader is modified to load files on the fly. Earlier it was reading the entire file and then processing the records
Pls refer to previous PR #1321 | {
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https://api.github.com/repos/huggingface/datasets/issues/1620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1620/comments | https://api.github.com/repos/huggingface/datasets/issues/1620/events | https://github.com/huggingface/datasets/pull/1620 | 772,620,056 | MDExOlB1bGxSZXF1ZXN0NTQzODUxNTY3 | 1,620 | Adding myPOS2017 dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1619/comments | https://api.github.com/repos/huggingface/datasets/issues/1619/events | https://github.com/huggingface/datasets/pull/1619 | 772,508,558 | MDExOlB1bGxSZXF1ZXN0NTQzNzYyMTUw | 1,619 | data loader for reading comprehension task | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-21T22:40:34 | 2020-12-28T10:32:53 | 2020-12-28T10:32:53 | CONTRIBUTOR | null | added doc2dial data loader and dummy data for reading comprehension task. | {
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} | [] | closed | false | null | [] | null | 3 | 2020-12-21T15:23:23 | 2020-12-22T17:17:00 | 2020-12-22T17:16:09 | NONE | null | When visiting https://huggingface.co/datasets, I don't see an obvious way to filter only English datasets. This is unexpected for me, am I missing something? I'd expect English to be selectable in the language widget. This problem reproduced on Mozilla Firefox and MS Edge:
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} | [] | closed | false | null | [] | null | 2 | 2020-12-21T11:18:50 | 2020-12-22T10:18:05 | 2020-12-22T10:11:28 | CONTRIBUTOR | null | CIFAR-10 dataset. Didn't add the tagging since there are no vision related tags. | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-21T11:03:16 | 2020-12-24T07:08:41 | 2020-12-23T16:50:06 | CONTRIBUTOR | null | This PR adds the **TurkishMovieSentiment: This dataset contains turkish movie reviews.**
- **Homepage:** [https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks](https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks)
- **Point of Contact:** [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/) | {
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https://api.github.com/repos/huggingface/datasets/issues/1615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1615/comments | https://api.github.com/repos/huggingface/datasets/issues/1615/events | https://github.com/huggingface/datasets/issues/1615 | 771,641,088 | MDU6SXNzdWU3NzE2NDEwODg= | 1,615 | Bug: Can't download TriviaQA with `load_dataset` - custom `cache_dir` | {
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} | [] | open | false | null | [] | null | 10 | 2020-12-20T17:27:38 | 2021-06-25T13:11:33 | null | NONE | null | Hello,
I'm having issue downloading TriviaQA dataset with `load_dataset`.
## Environment info
- `datasets` version: 1.1.3
- Platform: Linux-4.19.129-aufs-1-x86_64-with-debian-10.1
- Python version: 3.7.3
## The code I'm running:
```python
import datasets
dataset = datasets.load_dataset("trivia_qa", "rc", cache_dir = "./datasets")
```
## The output:
1. Download begins:
```
Downloading and preparing dataset trivia_qa/rc (download: 2.48 GiB, generated: 14.92 GiB, post-processed: Unknown size, total: 17.40 GiB) to /cs/labs/gabis/sapirweissbuch/tr
ivia_qa/rc/1.1.0/e734e28133f4d9a353af322aa52b9f266f6f27cbf2f072690a1694e577546b0d...
Downloading: 17%|███████████████████▉ | 446M/2.67G [00:37<04:45, 7.77MB/s]
```
2. 100% is reached
3. It got stuck here for about an hour, and added additional 30G of data to "./datasets" directory. I killed the process eventually.
A similar issue can be observed in Google Colab:
https://colab.research.google.com/drive/1nn1Lw02GhfGFylzbS2j6yksGjPo7kkN-?usp=sharing
## Expected behaviour:
The dataset "TriviaQA" should be successfully downloaded.
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} | [] | closed | false | null | [] | null | 0 | 2020-12-20T12:24:49 | 2020-12-22T17:45:27 | 2020-12-22T17:45:27 | CONTRIBUTOR | null | This is the CLICK-ID dataset, a collection of annotated clickbait Indonesian news headlines that was collected from 12 local online news | {
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https://api.github.com/repos/huggingface/datasets/issues/1612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1612/comments | https://api.github.com/repos/huggingface/datasets/issues/1612/events | https://github.com/huggingface/datasets/pull/1612 | 771,558,160 | MDExOlB1bGxSZXF1ZXN0NTQzMDQ3NjQ1 | 1,612 | Adding wiki asp dataset as new PR | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-20T10:25:08 | 2020-12-21T14:13:33 | 2020-12-21T14:13:33 | CONTRIBUTOR | null | Hi @lhoestq, Adding wiki asp as new branch because #1539 has other commits. This version has dummy data for each domain <20/30KB. | {
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I need to shuffle mutliple large datasets with `generator = torch.Generator()` for a distributed sampler which needs to make sure datasets are consistent across different cores, for this, this is really necessary for me to use torch generator, based on documentation this generator is not supported with datasets, I really need to make shuffle work with this generator and I was wondering what I can do about this issue, thanks for your help
@lhoestq | {
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I need to shuffle the dataset, but this needs to be based on epoch+seed to be consistent across the cores, when I pass seed to shuffle, this does not accept seed, could you assist me with this? thanks @lhoestq
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} | [] | closed | false | null | [] | null | 2 | 2020-12-19T17:35:48 | 2020-12-22T16:42:24 | 2020-12-22T16:42:23 | NONE | null | When trying to use jigsaw_toxicity_pred dataset, like this in a [colab](https://colab.research.google.com/drive/1LwO2A5M2X5dvhkAFYE4D2CUT3WUdWnkn?usp=sharing):
```
from datasets import list_datasets, list_metrics, load_dataset, load_metric
ds = load_dataset("jigsaw_toxicity_pred")
```
I see below error:
> FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/datasets/load.py in prepare_module(path, script_version, download_config, download_mode, dataset, force_local_path, **download_kwargs)
280 raise FileNotFoundError(
281 "Couldn't find file locally at {}, or remotely at {} or {}".format(
--> 282 combined_path, github_file_path, file_path
283 )
284 )
FileNotFoundError: Couldn't find file locally at jigsaw_toxicity_pred/jigsaw_toxicity_pred.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py | {
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https://api.github.com/repos/huggingface/datasets/issues/1608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1608/comments | https://api.github.com/repos/huggingface/datasets/issues/1608/events | https://github.com/huggingface/datasets/pull/1608 | 771,329,434 | MDExOlB1bGxSZXF1ZXN0NTQyODkyMTQ4 | 1,608 | adding ted_talks_iwslt | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-19T07:36:41 | 2021-01-02T15:44:12 | 2021-01-02T15:44:11 | CONTRIBUTOR | null | UPDATE2: (2nd Jan) Wrote a long writeup on the slack channel. I don't think this approach is correct. Basically this created language pairs (109*108)
Running the `pytest `went for more than 40+ hours and it was still running!
So working on a different approach, such that the number of configs = number of languages. Will make a new pull request with that.
UPDATE: This requires manual download dataset
This is a draft version | {
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https://api.github.com/repos/huggingface/datasets/issues/1607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1607/comments | https://api.github.com/repos/huggingface/datasets/issues/1607/events | https://github.com/huggingface/datasets/pull/1607 | 771,325,852 | MDExOlB1bGxSZXF1ZXN0NTQyODg5OTky | 1,607 | modified tweets hate speech detection | {
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https://api.github.com/repos/huggingface/datasets/issues/1606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1606/comments | https://api.github.com/repos/huggingface/datasets/issues/1606/events | https://github.com/huggingface/datasets/pull/1606 | 771,116,455 | MDExOlB1bGxSZXF1ZXN0NTQyNzMwNTEw | 1,606 | added Semantic Scholar Open Research Corpus | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-18T19:21:24 | 2021-02-03T09:30:59 | 2021-02-03T09:30:59 | CONTRIBUTOR | null | I picked up this dataset [Semantic Scholar Open Research Corpus](https://allenai.org/data/s2orc) but it contains 6000 files to be downloaded. I tried the current code with 100 files and it worked fine (took ~15GB space). For 6000 files it would occupy ~900GB space which I don’t have. Can someone from the HF team with that much of disk space help me with generate dataset_infos and dummy_data? | {
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https://api.github.com/repos/huggingface/datasets/issues/1605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1605/comments | https://api.github.com/repos/huggingface/datasets/issues/1605/events | https://github.com/huggingface/datasets/issues/1605 | 770,979,620 | MDU6SXNzdWU3NzA5Nzk2MjA= | 1,605 | Navigation version breaking | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-18T15:36:24 | 2022-10-05T12:35:11 | 2022-10-05T12:35:11 | NONE | null | Hi,
when navigating docs (Chrome, Ubuntu) (e.g. on this page: https://huggingface.co/docs/datasets/loading_metrics.html#using-a-custom-metric-script) the version control dropdown has the wrong string displayed as the current version:
**Edit:** this actually happens _only_ if you open a link to a concrete subsection.
IMO, the best way to fix this without getting too deep into the intricacies of retrieving version numbers from the URL would be to change [this](https://github.com/huggingface/datasets/blob/master/docs/source/_static/js/custom.js#L112) line to:
```
let label = (version in versionMapping) ? version : stableVersion
```
which delegates the check to the (already maintained) keys of the version mapping dictionary & should be more robust. There's a similar ternary expression [here](https://github.com/huggingface/datasets/blob/master/docs/source/_static/js/custom.js#L97) which should also fail in this case.
I'd also suggest swapping this [block](https://github.com/huggingface/datasets/blob/master/docs/source/_static/js/custom.js#L80-L90) to `string.contains(version) for version in versionMapping` which might be more robust. I'd add a PR myself but I'm by no means competent in JS :)
I also have a side question wrt. docs versioning: I'm trying to make docs for a project which are versioned alike to your dropdown versioning. I was wondering how do you handle storage of multiple doc versions on your server? Do you update what `https://huggingface.co/docs/datasets` points to for every stable release & manually create new folders for each released version?
So far I'm building & publishing (scping) the docs to the server with a github action which works well for a single version, but would ideally need to reorder the public files triggered on a new release. | {
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https://api.github.com/repos/huggingface/datasets/issues/1604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1604/comments | https://api.github.com/repos/huggingface/datasets/issues/1604/events | https://github.com/huggingface/datasets/issues/1604 | 770,862,112 | MDU6SXNzdWU3NzA4NjIxMTI= | 1,604 | Add tests for the download functions ? | {
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] | closed | false | null | [] | null | 1 | 2020-12-18T12:49:25 | 2022-10-05T13:04:24 | 2022-10-05T13:04:24 | CONTRIBUTOR | null | AFAIK the download functions in `DownloadManager` are not tested yet. It could be good to add some to ensure behavior is as expected. | {
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] | closed | false | null | [] | null | 1 | 2020-12-18T12:41:31 | 2020-12-22T15:34:07 | 2020-12-22T15:34:07 | CONTRIBUTOR | null | ## What does this PR do ?
Adding retries to HTTP GET & HEAD requests, when they fail with a `ConnectTimeout` exception.
The "canonical" way to do this is to use [urllib's Retry class](https://urllib3.readthedocs.io/en/latest/reference/urllib3.util.html#urllib3.util.Retry) and wrap it in a [HttpAdapter](https://requests.readthedocs.io/en/master/api/#requests.adapters.HTTPAdapter). Seems a bit overkill to me, plus it forces us to use the `requests.Session` object. I prefer this simpler implementation. I'm open to remarks and suggestions @lhoestq @yjernite
Fixes #1102 | {
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https://api.github.com/repos/huggingface/datasets/issues/1602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1602/comments | https://api.github.com/repos/huggingface/datasets/issues/1602/events | https://github.com/huggingface/datasets/pull/1602 | 770,841,810 | MDExOlB1bGxSZXF1ZXN0NTQyNTA4NTM4 | 1,602 | second update of id_newspapers_2018 | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-18T12:16:37 | 2020-12-22T10:41:15 | 2020-12-22T10:41:14 | CONTRIBUTOR | null | The feature "url" is currently set wrongly to data["date"], this PR fix it to data["url"].
I added also an additional POC. | {
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I added also an additional POC. | {
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```
from datasets import load_dataset
dataset = load_dataset('csv', data_files='data.txt')
dataset = dataset.train_test_split(test_size=0.1)
```
> AttributeError: 'DatasetDict' object has no attribute 'train_test_split' | {
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I am hitting to this error, thanks
```
> Traceback (most recent call last):
File "finetune_t5_trainer.py", line 379, in <module>
main()
File "finetune_t5_trainer.py", line 208, in main
if training_args.do_eval or training_args.evaluation_strategy != EvaluationStrategy.NO
File "finetune_t5_trainer.py", line 207, in <dictcomp>
for task in data_args.eval_tasks}
File "/workdir/seq2seq/data/tasks.py", line 70, in get_dataset
dataset = self.load_dataset(split=split)
File "/workdir/seq2seq/data/tasks.py", line 66, in load_dataset
return datasets.load_dataset(self.task.name, split=split, script_version="master")
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 487, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/master/datasets/boolq/boolq.py
el/0 I1217 01:11:33.898849 354161 main shadow.py:210 Current job status: FINISHED
``` | {
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] | closed | false | null | [] | null | 3 | 2020-12-17T07:02:20 | 2022-10-05T13:47:28 | 2022-10-05T12:33:06 | NONE | null | It is possible that we want to do different things in the `map` function (and possibly other functions too) of a `DatasetDict`, depending on the key. I understand that `DatasetDict.map` is a really thin wrapper of `Dataset.map`, so it is easy to directly implement this functionality in the client code. Still, it'd be nice if there can be a flag, similar to `with_indices`, that allows the callable to know the key inside `DatasetDict`. | {
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FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnmted//texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz
``` | {
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} | [] | closed | false | null | [] | null | 5 | 2020-12-16T20:17:24 | 2022-06-01T15:32:04 | 2022-06-01T15:32:04 | NONE | null | Many projects use a module called `datasets`, however this is incompatible with huggingface datasets. It would be great if there if there was some helper or similar function to resolve such a common conflict. | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T18:50:56 | 2022-07-06T15:19:57 | 2022-07-06T15:19:57 | CONTRIBUTOR | null | Added data loader for machine reading comprehension tasks proposed in the Doc2Dial EMNLP 2020 paper. | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T16:28:14 | 2020-12-16T22:41:53 | 2020-12-16T17:20:28 | CONTRIBUTOR | null | description added, unnecessary comments removed from .py and readme.md reformated
@lhoestq for #1584 | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T14:22:08 | 2020-12-17T16:07:10 | 2020-12-17T16:07:10 | CONTRIBUTOR | null | this is pr is a copy of #1506 due to messed up git history in that pr. | {
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} | [] | closed | false | null | [] | null | 5 | 2020-12-16T13:25:58 | 2021-01-29T10:28:53 | 2021-01-29T10:28:53 | CONTRIBUTOR | null | added irc disentanglement dataset | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T12:51:05 | 2020-12-16T16:02:56 | 2020-12-16T16:02:56 | NONE | null | Version: `datasets==v1.1.3`
### Reproduction
```python
from datasets import load_dataset
data = load_dataset("amazon_polarity")
```
crashes with
```bash
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/amazon_polarity/amazon_polarity.py
```
and
```bash
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/amazon_polarity/amazon_polarity.py
```
and
```bash
FileNotFoundError: Couldn't find file locally at amazon_polarity/amazon_polarity.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/amazon_polarity/amazon_polarity.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/amazon_polarity/amazon_polarity.py
``` | {
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Let me know if there's any issues.
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} | [] | closed | false | null | [] | null | 0 | 2020-12-16T11:53:07 | 2020-12-17T18:06:46 | 2020-12-17T18:06:45 | CONTRIBUTOR | null | Adding the dataset as new branch as advised here: #1470
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} | [] | closed | false | null | [] | null | 5 | 2020-12-16T00:02:21 | 2021-06-17T15:40:45 | 2021-06-17T15:40:45 | NONE | null | I am using a docker container, based on latest tensorflow-gpu image, to run transformers and datasets (4.0.1 and 1.1.3 respectively - Dockerfile attached below). Importing transformers throws a Permission Error to access `/.cache`:
```
$ docker run --gpus=all --rm -it -u $(id -u):$(id -g) -v $(pwd)/data:/root/data -v $(pwd):/root -v $(pwd)/models/:/root/models -v $(pwd)/saved_models/:/root/saved_models -e "HOST_HOSTNAME=$(hostname)" hf-error:latest /bin/bash
________ _______________
___ __/__________________________________ ____/__ /________ __
__ / _ _ \_ __ \_ ___/ __ \_ ___/_ /_ __ /_ __ \_ | /| / /
_ / / __/ / / /(__ )/ /_/ / / _ __/ _ / / /_/ /_ |/ |/ /
/_/ \___//_/ /_//____/ \____//_/ /_/ /_/ \____/____/|__/
You are running this container as user with ID 1000 and group 1000,
which should map to the ID and group for your user on the Docker host. Great!
tf-docker /root > python
Python 3.6.9 (default, Oct 8 2020, 12:12:24)
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import transformers
2020-12-15 23:53:21.165827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.6/dist-packages/transformers/__init__.py", line 22, in <module>
from .integrations import ( # isort:skip
File "/usr/local/lib/python3.6/dist-packages/transformers/integrations.py", line 5, in <module>
from .trainer_utils import EvaluationStrategy
File "/usr/local/lib/python3.6/dist-packages/transformers/trainer_utils.py", line 25, in <module>
from .file_utils import is_tf_available, is_torch_available, is_torch_tpu_available
File "/usr/local/lib/python3.6/dist-packages/transformers/file_utils.py", line 88, in <module>
import datasets # noqa: F401
File "/usr/local/lib/python3.6/dist-packages/datasets/__init__.py", line 26, in <module>
from .arrow_dataset import Dataset, concatenate_datasets
File "/usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py", line 40, in <module>
from .arrow_reader import ArrowReader
File "/usr/local/lib/python3.6/dist-packages/datasets/arrow_reader.py", line 31, in <module>
from .utils import cached_path, logging
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/__init__.py", line 20, in <module>
from .download_manager import DownloadManager, GenerateMode
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/download_manager.py", line 25, in <module>
from .file_utils import HF_DATASETS_CACHE, cached_path, get_from_cache, hash_url_to_filename
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 118, in <module>
os.makedirs(HF_MODULES_CACHE, exist_ok=True)
File "/usr/lib/python3.6/os.py", line 210, in makedirs
makedirs(head, mode, exist_ok)
File "/usr/lib/python3.6/os.py", line 210, in makedirs
makedirs(head, mode, exist_ok)
File "/usr/lib/python3.6/os.py", line 220, in makedirs
mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: '/.cache'
```
I've pinned the problem to `RUN pip install datasets`, and by commenting it you can actually import transformers correctly. Another workaround I've found is creating the directory and giving permissions to it directly on the Dockerfile.
```
FROM tensorflow/tensorflow:latest-gpu-jupyter
WORKDIR /root
EXPOSE 80
EXPOSE 8888
EXPOSE 6006
ENV SHELL /bin/bash
ENV PATH="/root/.local/bin:${PATH}"
ENV CUDA_CACHE_PATH="/root/cache/cuda"
ENV CUDA_CACHE_MAXSIZE="4294967296"
ENV TFHUB_CACHE_DIR="/root/cache/tfhub"
RUN pip install --upgrade pip
RUN apt update -y && apt upgrade -y
RUN pip install transformers
#Installing datasets will throw the error, try commenting and rebuilding
RUN pip install datasets
#Another workaround is creating the directory and give permissions explicitly
#RUN mkdir /.cache
#RUN chmod 777 /.cache
```
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} | [] | closed | false | null | [] | null | 5 | 2020-12-15T16:49:22 | 2020-12-22T13:43:16 | 2020-12-22T13:43:15 | CONTRIBUTOR | null | This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
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} | [] | closed | false | null | [] | null | 0 | 2020-12-15T16:13:52 | 2020-12-15T17:06:29 | 2020-12-15T17:06:29 | MEMBER | null | a file was updated on the GitHub repo for the dataset | {
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COMET was [presented at EMNLP20](https://www.aclweb.org/anthology/2020.emnlp-main.213/) and it is the highest performing metric, so far, on the WMT19 benchmark.
We also participated in the [WMT20 Metrics shared task ](http://www.statmt.org/wmt20/pdf/2020.wmt-1.101.pdf) where once again COMET was validated as a top-performing metric.
I hope that this metric will help researcher's and industry workers to better validate their MT systems in the future 🤗 !
Cheers,
Ricardo
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There are two problems here:
i) `quote_char' is misspelled, must be `quotechar'
ii) the documentation should mention `quoting' | {
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With suggested changes in #1330 | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-14T12:34:52 | 2020-12-15T12:54:07 | 2020-12-15T12:54:06 | MEMBER | null | Make the features of the library clearer. | {
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https://github.com/tmu-nlp/TMU-GFM-Dataset
A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs.
More detail about the creation of the dataset can be found in [Yoshimura et al. (2020)](https://www.aclweb.org/anthology/2020.coling-main.573.pdf). | {
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See https://github.com/facebookresearch/LAMA for more details. | {
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And a thank you note at the end :hugs: | {
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Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_ner | {
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