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https://api.github.com/repos/huggingface/datasets/issues/1645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1645/comments | https://api.github.com/repos/huggingface/datasets/issues/1645/events | https://github.com/huggingface/datasets/pull/1645 | 775,473,106 | MDExOlB1bGxSZXF1ZXN0NTQ2MTQ4OTUx | 1,645 | Rename "part-of-speech-tagging" tag in some dataset cards | {
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} | `part-of-speech-tagging` was not part of the tagging taxonomy under `structure-prediction` | {
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https://api.github.com/repos/huggingface/datasets/issues/1644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1644/comments | https://api.github.com/repos/huggingface/datasets/issues/1644/events | https://github.com/huggingface/datasets/issues/1644 | 775,375,880 | MDU6SXNzdWU3NzUzNzU4ODA= | 1,644 | HoVeR dataset fails to load | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-28T12:27:07Z | 2022-10-05T12:40:34Z | 2022-10-05T12:40:34Z | NONE | null | null | 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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"Hover was added recently, that's why it wasn't available yet.\r\n\r\nTo load it you can just update `datasets`\r\n```\r\npip install --upgrade datasets\r\n```\r\n\r\nand then you can load `hover` with\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"hover\")\r\n```"
] |
https://api.github.com/repos/huggingface/datasets/issues/1643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1643/comments | https://api.github.com/repos/huggingface/datasets/issues/1643/events | https://github.com/huggingface/datasets/issues/1643 | 775,280,046 | MDU6SXNzdWU3NzUyODAwNDY= | 1,643 | Dataset social_bias_frames 404 | {
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>>> 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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"I see, master is already fixed in https://github.com/huggingface/datasets/commit/9e058f098a0919efd03a136b9b9c3dec5076f626"
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https://api.github.com/repos/huggingface/datasets/issues/1642 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1642/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1642/comments | https://api.github.com/repos/huggingface/datasets/issues/1642/events | https://github.com/huggingface/datasets/pull/1642 | 775,159,568 | MDExOlB1bGxSZXF1ZXN0NTQ1ODk1MzY1 | 1,642 | Ollie dataset | {
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} | 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 | 2020-12-27T21:26:28Z | 2021-08-03T05:07:29Z | 2021-08-03T05:07:29Z | CONTRIBUTOR | null | null | 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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"I have encountered the same error with `v1.0.1` and `v1.0.2` on both Windows and Linux environments. However, cloning the repo and using the path to the dataset's root directory worked for me. Even after having the dataset cached - passing the path is the only way (for now) to load the dataset.\r\n\r\n```python\r\... |
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} | 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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} | [] | closed | false | null | [] | null | 3 | 2020-12-26T16:57:23Z | 2022-10-05T12:40:16Z | 2022-10-05T12:40:16Z | NONE | null | null | 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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"Maybe you can use nltk's treebank detokenizer ?\r\n```python\r\nfrom nltk.tokenize.treebank import TreebankWordDetokenizer\r\n\r\nTreebankWordDetokenizer().detokenize(\"it 's a charming and often affecting journey . \".split())\r\n# \"it's a charming and often affecting journey.\"\r\n```",
"I am looking for alte... |
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 | 2020-12-26T12:41:55Z | 2020-12-30T16:34:17Z | 2020-12-30T16:34:17Z | CONTRIBUTOR | null | 0 | {
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} | 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 | 2020-12-25T11:01:24Z | 2021-01-04T13:43:19Z | 2021-01-04T13:43:19Z | CONTRIBUTOR | null | 0 | {
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} | #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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"As always, I got stuck in the correct order of imports 😅\r\n@lhoestq, It's finished!",
"@lhoestq, It's done! Is there anything else that needs changes?"
] |
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 | 2020-12-24T22:28:22Z | 2022-10-05T12:35:44Z | 2022-10-05T12:35:44Z | NONE | null | null | 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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"I have same issue for other datasets (`myanmar_news` in my case).\r\n\r\nA version of `datasets` runs correctly on my local machine (**without GPU**) which looking for the dataset at \r\n```\r\nhttps://raw.githubusercontent.com/huggingface/datasets/master/datasets/myanmar_news/myanmar_news.py\r\n```\r\n\r\nMeanwhi... |
https://api.github.com/repos/huggingface/datasets/issues/1635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1635/comments | https://api.github.com/repos/huggingface/datasets/issues/1635/events | https://github.com/huggingface/datasets/issues/1635 | 774,524,492 | MDU6SXNzdWU3NzQ1MjQ0OTI= | 1,635 | Persian Abstractive/Extractive Text Summarization | {
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"description": "Requesting to add a new dataset",
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"name": "dataset request",
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] | closed | false | null | [] | null | 0 | 2020-12-24T17:47:12Z | 2021-01-04T15:11:04Z | 2021-01-04T15:11:04Z | CONTRIBUTOR | null | null | 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 | 2020-12-24T15:26:34Z | 2022-10-04T14:57:33Z | 2022-10-04T14:57:33Z | NONE | null | null | 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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"That's interesting, can you tell me what you think would be useful to access to inspect a dataset?\r\n\r\nYou can filter them in the hub with the search by the way: https://huggingface.co/datasets have you seen it?",
"Hi @thomwolf \r\nthank you, I was not aware of this, I was looking into the data viewer linked ... |
https://api.github.com/repos/huggingface/datasets/issues/1633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1633/comments | https://api.github.com/repos/huggingface/datasets/issues/1633/events | https://github.com/huggingface/datasets/issues/1633 | 774,422,603 | MDU6SXNzdWU3NzQ0MjI2MDM= | 1,633 | social_i_qa wrong format of labels | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-24T13:11:54Z | 2020-12-30T17:18:49Z | 2020-12-30T17:18:49Z | NONE | null | null | 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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"@lhoestq, should I raise a PR for this? Just a minor change while reading labels text file",
"Sure feel free to open a PR thanks !"
] |
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] | closed | false | null | [] | null | 0 | 2020-12-24T12:40:14Z | 2021-02-05T15:49:25Z | 2021-02-05T15:49:25Z | CONTRIBUTOR | null | null | 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 | 3 | 2020-12-24T11:01:31Z | 2022-10-05T12:36:12Z | 2022-10-05T12:36:12Z | CONTRIBUTOR | null | null | 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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"Adding a link to the guide on adding a dataset if someone want to give it a try: https://github.com/huggingface/datasets#add-a-new-dataset-to-the-hub\r\n\r\nwe should add this guide to the issue template @lhoestq ",
"thanks @thomwolf , this is added now. The template is correct, sorry my mistake not to include i... |
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- refactor `star_rating` to a `datasets.features.ClassLabel` field | {
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"Progress bar can be disabled like this:\r\n```python\r\nfrom datasets.utils.logging import set_verbosity_error\r\nset_verbosity_error()\r\n```\r\n\r\nThere is this line in `Dataset.map`:\r\n```python\r\nnot_verbose = bool(logger.getEffectiveLevel() > WARNING)\r\n```\r\n\r\nSo any logging level higher than `WARNING... |
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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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} | [] | closed | false | null | [] | null | 2 | 2020-12-23T10:58:14Z | 2021-08-03T05:08:54Z | 2021-08-03T05:08:54Z | NONE | null | null | 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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"Hi @him1411, the dataset you are trying to load has been added during the community sprint and has not been released yet. It will be available with the v2 of `datasets`.\r\nFor now, you should be able to load the datasets after installing the latest (master) version of `datasets` using pip:\r\n`pip install git+htt... |
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 | 2020-12-22T13:34:05Z | 2020-12-22T17:53:53Z | 2020-12-22T17:53:53Z | CONTRIBUTOR | null | 0 | {
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} | 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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"Thank you @lhoestq for your comments! 😄 I added your suggested changes, ran the tests and regenerated `dataset_infos.json` and `dummy_data`."
] |
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 | 2020-12-22T13:18:40Z | 2020-12-23T13:37:13Z | 2020-12-23T13:37:12Z | CONTRIBUTOR | null | null | 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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"Indeed that's a typo, do you want to open a PR to fix it?",
"Yes, created a PR"
] |
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 | 2020-12-22T13:18:11Z | 2020-12-23T11:51:51Z | 2020-12-23T11:51:51Z | CONTRIBUTOR | null | 0 | {
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} | 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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} | myPOS Corpus (Myanmar Part-of-Speech Corpus) for Myanmar language NLP Research and Developments | {
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} | https://api.github.com/repos/huggingface/datasets/issues/1620/timeline | null | null | true | [
"I've updated the code and Readme to reflect your comments.\r\nThank you very much,",
"looks like this PR includes changes about many other files than the ones for myPOS2017\r\n\r\nCould you open another branch and another PR please ?\r\n(or fix this branch)",
"Hi @hungluumfc ! Have you had a chance to fix this... |
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 | 2020-12-21T22:40:34Z | 2020-12-28T10:32:53Z | 2020-12-28T10:32:53Z | CONTRIBUTOR | null | 0 | {
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} | added doc2dial data loader and dummy data for reading comprehension task. | {
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"Thank you for all the feedback! I have updated the dummy data with a zip under 30KB, which needs to include at least one data instance from both document domain and dialog domain. Please let me know if it is still too big. Thanks!",
"Thank you again for the feedback! I am not too sure what the preferable style f... |
https://api.github.com/repos/huggingface/datasets/issues/1618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1618/comments | https://api.github.com/repos/huggingface/datasets/issues/1618/events | https://github.com/huggingface/datasets/issues/1618 | 772,248,730 | MDU6SXNzdWU3NzIyNDg3MzA= | 1,618 | Can't filter language:EN on https://huggingface.co/datasets | {
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} | [] | closed | false | null | [] | null | 3 | 2020-12-21T15:23:23Z | 2020-12-22T17:17:00Z | 2020-12-22T17:16:09Z | NONE | null | null | 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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"cc'ing @mapmeld ",
"Full language list is now deployed to https://huggingface.co/datasets ! Recommend close",
"Cool @mapmeld ! My 2 cents (for a next iteration), it would be cool to have a small search widget in the filter dropdown as you have a ton of languages now here! Closing this in the meantime."
] |
https://api.github.com/repos/huggingface/datasets/issues/1617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1617/comments | https://api.github.com/repos/huggingface/datasets/issues/1617/events | https://github.com/huggingface/datasets/pull/1617 | 772,084,764 | MDExOlB1bGxSZXF1ZXN0NTQzNDE5MTM5 | 1,617 | cifar10 initial commit | {
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} | CIFAR-10 dataset. Didn't add the tagging since there are no vision related tags. | {
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"Yee a Computer Vision dataset!",
"Yep, the first one ! Thank @czabo "
] |
https://api.github.com/repos/huggingface/datasets/issues/1616 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1616/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1616/comments | https://api.github.com/repos/huggingface/datasets/issues/1616/events | https://github.com/huggingface/datasets/pull/1616 | 772,074,229 | MDExOlB1bGxSZXF1ZXN0NTQzNDEwNDc1 | 1,616 | added TurkishMovieSentiment dataset | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-21T11:03:16Z | 2020-12-24T07:08:41Z | 2020-12-23T16:50:06Z | CONTRIBUTOR | null | 0 | {
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} | 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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"> I just generated the dataset_infos.json file\r\n> \r\n> Thanks for adding this one !\r\n\r\nThank you very much for your support."
] |
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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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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"Hi @SapirWeissbuch,\r\nWhen you are saying it freezes, at that time it is unzipping the file from the zip file it downloaded. Since it's a very heavy file it'll take some time. It was taking ~11GB after unzipping when it started reading examples for me. Hope that helps!\r\n![Screenshot 2020-12-21 at 23 40 52](http... |
https://api.github.com/repos/huggingface/datasets/issues/1613 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1613/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1613/comments | https://api.github.com/repos/huggingface/datasets/issues/1613/events | https://github.com/huggingface/datasets/pull/1613 | 771,577,050 | MDExOlB1bGxSZXF1ZXN0NTQzMDYwNzEx | 1,613 | Add id_clickbait | {
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} | 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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} | 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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https://api.github.com/repos/huggingface/datasets/issues/1611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1611/comments | https://api.github.com/repos/huggingface/datasets/issues/1611/events | https://github.com/huggingface/datasets/issues/1611 | 771,486,456 | MDU6SXNzdWU3NzE0ODY0NTY= | 1,611 | shuffle with torch generator | {
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] | closed | false | null | [] | null | 8 | 2020-12-20T00:57:14Z | 2022-06-01T15:30:13Z | 2022-06-01T15:30:13Z | NONE | null | null | null | Hi
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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"Is there a way one can convert the two generator? not sure overall what alternatives I could have to shuffle the datasets with a torch generator, thanks ",
"@lhoestq let me please expalin in more details, maybe you could help me suggesting an alternative to solve the issue for now, I have multiple large dataset... |
https://api.github.com/repos/huggingface/datasets/issues/1610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1610/comments | https://api.github.com/repos/huggingface/datasets/issues/1610/events | https://github.com/huggingface/datasets/issues/1610 | 771,453,599 | MDU6SXNzdWU3NzE0NTM1OTk= | 1,610 | shuffle does not accept seed | {
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] | closed | false | null | [] | null | 3 | 2020-12-19T20:59:39Z | 2021-01-04T10:00:03Z | 2021-01-04T10:00:03Z | CONTRIBUTOR | null | null | null | Hi
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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"Hi, did you check the doc on `shuffle`?\r\nhttps://huggingface.co/docs/datasets/package_reference/main_classes.html?datasets.Dataset.shuffle#datasets.Dataset.shuffle",
"Hi Thomas\r\nthanks for reponse, yes, I did checked it, but this does not work for me please see \r\n\r\n```\r\n(internship) rkarimi@italix17:/i... |
https://api.github.com/repos/huggingface/datasets/issues/1609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1609/comments | https://api.github.com/repos/huggingface/datasets/issues/1609/events | https://github.com/huggingface/datasets/issues/1609 | 771,421,881 | MDU6SXNzdWU3NzE0MjE4ODE= | 1,609 | Not able to use 'jigsaw_toxicity_pred' dataset | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-19T17:35:48Z | 2020-12-22T16:42:24Z | 2020-12-22T16:42:23Z | NONE | null | null | 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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"Hi @jassimran,\r\nThe `jigsaw_toxicity_pred` dataset has not been released yet, it will be available with version 2 of `datasets`, coming soon.\r\nYou can still access it by installing the master (unreleased) version of datasets directly :\r\n`pip install git+https://github.com/huggingface/datasets.git@master`\r\n... |
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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} | 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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"Closing this with reference to the new approach #1676 "
] |
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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} | 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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"I think we’ll need complete dataset_infos.json to create YAML tags. I ran the script again with 100 files after going through your comments and it was occupying ~16 GB space. So in total it should take ~960GB and I don’t have this much memory available with me. Also, I'll have to download the whole dataset for gen... |
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 | 2020-12-18T15:36:24Z | 2022-10-05T12:35:11Z | 2022-10-05T12:35:11Z | NONE | null | null | 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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"Not relevant for our current docs :)."
] |
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 | 2020-12-18T12:49:25Z | 2022-10-05T13:04:24Z | 2022-10-05T13:04:24Z | CONTRIBUTOR | null | null | 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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"We have some tests now for it under `tests/test_download_manager.py`."
] |
https://api.github.com/repos/huggingface/datasets/issues/1603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1603/comments | https://api.github.com/repos/huggingface/datasets/issues/1603/events | https://github.com/huggingface/datasets/pull/1603 | 770,857,221 | MDExOlB1bGxSZXF1ZXN0NTQyNTIwNDkx | 1,603 | Add retries to HTTP requests | {
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} | ## 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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"merging this one then :) "
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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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} | 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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} | 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 close this PR, since it based on 1 week old repo. And I will create a new one"
] |
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] | closed | false | null | [] | null | 7 | 2020-12-18T05:37:10Z | 2023-05-03T04:22:55Z | 2020-12-21T07:38:58Z | NONE | null | null | null | The following code fails with "'DatasetDict' object has no attribute 'train_test_split'" - am I doing something wrong?
```
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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"Hi @david-waterworth!\r\n\r\nAs indicated in the error message, `load_dataset(\"csv\")` returns a `DatasetDict` object, which is mapping of `str` to `Dataset` objects. I believe in this case the behavior is to return a `train` split with all the data.\r\n`train_test_split` is a method of the `Dataset` object, so y... |
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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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"This happen quite often when they are too many concurrent requests to github.\r\n\r\ni can understand it’s a bit cumbersome to handle on the user side. Maybe we should try a few times in the lib (eg with timeout) before failing, what do you think @lhoestq ?",
"Yes currently there's no retry afaik. We should add ... |
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] | closed | false | null | [] | null | 3 | 2020-12-17T07:02:20Z | 2022-10-05T13:47:28Z | 2022-10-05T12:33:06Z | NONE | null | null | 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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} | https://api.github.com/repos/huggingface/datasets/issues/1593/timeline | null | completed | false | [
"Indeed that would be cool\r\n\r\nAlso FYI right now the easiest way to do this is\r\n```python\r\ndataset_dict[\"train\"] = dataset_dict[\"train\"].map(my_transform_for_the_train_set)\r\ndataset_dict[\"test\"] = dataset_dict[\"test\"].map(my_transform_for_the_test_set)\r\n```",
"I don't feel like adding an extra... |
https://api.github.com/repos/huggingface/datasets/issues/1591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1591/comments | https://api.github.com/repos/huggingface/datasets/issues/1591/events | https://github.com/huggingface/datasets/issues/1591 | 769,383,714 | MDU6SXNzdWU3NjkzODM3MTQ= | 1,591 | IWSLT-17 Link Broken | {
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... | closed | false | null | [] | null | 2 | 2020-12-17T00:46:42Z | 2020-12-18T08:06:36Z | 2020-12-18T08:05:28Z | NONE | null | null | null | ```
FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnmted//texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz
``` | {
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} | https://api.github.com/repos/huggingface/datasets/issues/1591/timeline | null | completed | false | [
"Sorry, this is a duplicate of #1287. Not sure why it didn't come up when I searched `iwslt` in the issues list.",
"Closing this since its a duplicate"
] |
https://api.github.com/repos/huggingface/datasets/issues/1590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1590/comments | https://api.github.com/repos/huggingface/datasets/issues/1590/events | https://github.com/huggingface/datasets/issues/1590 | 769,242,858 | MDU6SXNzdWU3NjkyNDI4NTg= | 1,590 | Add helper to resolve namespace collision | {
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} | [] | closed | false | null | [] | null | 5 | 2020-12-16T20:17:24Z | 2022-06-01T15:32:04Z | 2022-06-01T15:32:04Z | NONE | null | null | 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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"Do you have an example?",
"I was thinking about using something like [importlib](https://docs.python.org/3/library/importlib.html#importing-a-source-file-directly) to over-ride the collision. \r\n\r\n**Reason requested**: I use the [following template](https://github.com/jramapuram/ml_base/) repo where I house a... |
https://api.github.com/repos/huggingface/datasets/issues/1589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1589/comments | https://api.github.com/repos/huggingface/datasets/issues/1589/events | https://github.com/huggingface/datasets/pull/1589 | 769,187,141 | MDExOlB1bGxSZXF1ZXN0NTQxMzcwMTM0 | 1,589 | Update doc2dial.py | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T18:50:56Z | 2022-07-06T15:19:57Z | 2022-07-06T15:19:57Z | CONTRIBUTOR | null | 0 | {
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} | Added data loader for machine reading comprehension tasks proposed in the Doc2Dial EMNLP 2020 paper. | {
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} | https://api.github.com/repos/huggingface/datasets/issues/1589/timeline | null | null | true | [
"Thanks for adding the `doc2dial_rc` config :) \r\n\r\nIt looks like you're missing the dummy data for this config though. Could you add them please ?\r\nAlso to fix the CI you'll need to format the code with `make style`"
] |
https://api.github.com/repos/huggingface/datasets/issues/1588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1588/comments | https://api.github.com/repos/huggingface/datasets/issues/1588/events | https://github.com/huggingface/datasets/pull/1588 | 769,068,227 | MDExOlB1bGxSZXF1ZXN0NTQxMjg3OTcz | 1,588 | Modified hind encorp | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T16:28:14Z | 2020-12-16T22:41:53Z | 2020-12-16T17:20:28Z | CONTRIBUTOR | null | 0 | {
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} | description added, unnecessary comments removed from .py and readme.md reformated
@lhoestq for #1584 | {
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"welcome, awesome "
] |
https://api.github.com/repos/huggingface/datasets/issues/1587 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1587/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1587/comments | https://api.github.com/repos/huggingface/datasets/issues/1587/events | https://github.com/huggingface/datasets/pull/1587 | 768,929,877 | MDExOlB1bGxSZXF1ZXN0NTQxMjAwMDk3 | 1,587 | Add nq_open question answering dataset | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T14:22:08Z | 2020-12-17T16:07:10Z | 2020-12-17T16:07:10Z | CONTRIBUTOR | null | 0 | {
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} | this is pr is a copy of #1506 due to messed up git history in that pr. | {
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"@SBrandeis all checks passing"
] |
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} | [] | closed | false | null | [] | null | 5 | 2020-12-16T13:25:58Z | 2021-01-29T10:28:53Z | 2021-01-29T10:28:53Z | CONTRIBUTOR | null | 0 | {
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} | added irc disentanglement dataset | {
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"@lhoestq sorry, this was the only way I was able to fix the pull request ",
"@lhoestq Thank you for the feedback. I wondering whether I should be passing an 'id' field in the dictionary since the 'connections' reference the 'id' of the linked messages. This 'id' would just be the same as the id_ that is in the y... |
https://api.github.com/repos/huggingface/datasets/issues/1585 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1585/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1585/comments | https://api.github.com/repos/huggingface/datasets/issues/1585/events | https://github.com/huggingface/datasets/issues/1585 | 768,831,171 | MDU6SXNzdWU3Njg4MzExNzE= | 1,585 | FileNotFoundError for `amazon_polarity` | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-16T12:51:05Z | 2020-12-16T16:02:56Z | 2020-12-16T16:02:56Z | NONE | null | null | 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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"Hi @phtephanx , the `amazon_polarity` dataset has not been released yet. It will be available in the coming soon v2of `datasets` :) \r\n\r\nYou can still access it now if you want, but you will need to install datasets via the master branch:\r\n`pip install git+https://github.com/huggingface/datasets.git@master`"
... |
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} | #1478 Correcting the argument descriptions for metrics.
Let me know if there's any issues.
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} | Adding the dataset as new branch as advised here: #1470
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} | [] | closed | false | null | [] | null | 5 | 2020-12-16T00:02:21Z | 2021-06-17T15:40:45Z | 2021-06-17T15:40:45Z | NONE | null | null | 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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"Thanks for reporting !\r\nYou can override the directory in which cache file are stored using for example\r\n```\r\nENV HF_HOME=\"/root/cache/hf_cache_home\"\r\n```\r\n\r\nThis way both `transformers` and `datasets` will use this directory instead of the default `.cache`",
"Great, thanks. I didn't see documentat... |
https://api.github.com/repos/huggingface/datasets/issues/1580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1580/comments | https://api.github.com/repos/huggingface/datasets/issues/1580/events | https://github.com/huggingface/datasets/pull/1580 | 768,111,377 | MDExOlB1bGxSZXF1ZXN0NTQwNjQxNDQ3 | 1,580 | made suggested changes in diplomacy_detection.py | {
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https://api.github.com/repos/huggingface/datasets/issues/1579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1579/comments | https://api.github.com/repos/huggingface/datasets/issues/1579/events | https://github.com/huggingface/datasets/pull/1579 | 767,808,465 | MDExOlB1bGxSZXF1ZXN0NTQwMzk5OTY5 | 1,579 | Adding CLIMATE-FEVER dataset | {
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} | 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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"I `git rebase`ed my branch to `upstream/master` as suggested in point 7 of <https://huggingface.co/docs/datasets/share_dataset.html> and subsequently used `git pull` to be able to push to my remote branch. However, I think this messed up the history.\r\n\r\nPlease let me know if I should create a clean new PR with... |
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} | a file was updated on the GitHub repo for the dataset | {
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} | Hey! I decided to add our new Crosslingual Optimized Metric for Evaluation of Translation (COMET) to the list of the available metrics.
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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"ALL TEST PASSED locally @yjernite ",
"@rahul-art kindly run the following from the datasets folder \r\n\r\n```\r\nmake style \r\nflake8 datasets\r\n\r\n```\r\n",
"@skyprince999 I did that before it says all done \r\n",
"I did that again it gives the same output all done and then I synchronized my changes ... | |
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} | This introduces a few changes to the Knowledge Intensive Learning task benchmark to bring it more in line with our current datasets, including adding the (minimal) dataset card and having one config per sub-task | {
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} | Documentation for loading CSV datasets misleads the user into thinking setting `quote_char' to False will disable quoting.
There are two problems here:
i) `quote_char' is misspelled, must be `quotechar'
ii) the documentation should mention `quoting' | {
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https://api.github.com/repos/huggingface/datasets/issues/1569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1569/comments | https://api.github.com/repos/huggingface/datasets/issues/1569/events | https://github.com/huggingface/datasets/pull/1569 | 766,758,895 | MDExOlB1bGxSZXF1ZXN0NTM5NjkwMjc2 | 1,569 | added un_ga dataset | {
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} | Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset.
With suggested changes in #1330 | {
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} | There was a problem with my [previous PR 1445](https://github.com/huggingface/datasets/pull/1445) after rebasing, so I'm copying the dataset code into a new branch and submitting a new PR. | {
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"Hi @tsvm Great work! \r\nSince you have raised a clean PR could you close the earlier one - #1445 ? \r\n",
"> Hi @tsvm Great work!\r\n> Since you have raised a clean PR could you close the earlier one - #1445 ?\r\n\r\nDone."
] |
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} | For more information: https://msropendata.com/datasets/b25190ed-0f59-47b1-9211-5962858142c2 | {
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"I proposed something a few weeks ago in #898 (un-merged) but I think that the way that @mattbui added the dataset in the present PR is smarter and simpler should replace my PR #898.\r\n\r\n(Narrator voice: *And it was around that time that Thomas realized that the community was now a lot smarter than him and he sh... |
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"@ManuelFay thanks you so much for adding a dataset card, this is such a cool contribution!\r\n\r\nThis looks like it uses an old template for the card we've moved things around a bit and we have an app you should be using to get the tags and the structure of the Data Fields paragraph :) Would you mind moving your ... | |
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} | I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution | {
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"Hi @abdulelahsm - This is an interesting dataset! But there are multiple issues with the PR. Some of them are listed below: \r\n- default builder config is not defined. There should be atleast one builder config \r\n- URL is incorrectly constructed so the data files are not being downloaded \r\n- dataset_info.jso... |
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} | Adding TMU-GFM-Dataset for Grammatical Error Correction.
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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"@lhoestq Thank you for your code review! I think I could do the necessary corrections. Could you please check it again when you have time?",
"Thank you for merging!"
] |
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"Also the CI is failing because of an error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` that is not related to your dataset and is fixed on master. You can ignore it",
"merging since the ... | |
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See https://github.com/facebookresearch/LAMA for more details. | {
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"@ontocord it ju... |
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And a thank you note at the end :hugs: | {
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} | This PR adds the Igbo NER dataset.
Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_ner | {
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"Thanks for the PR @purvimisal. \r\n\r\nFew comments below. ",
"Hi, @lhoestq Thank you for the review. I have made all the changes. PTAL! ",
"the CI error is not related to your dataset, merging"
] |
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"Yes this has the right files!!!\r\n\r\nI'll close the previous one then :) \r\n\r\nNow to pass the tests, you will need to:\r\n- `make style` and run `flake8 datasets` from your repository root directory\r\n- fix the dummy data\r\n\r\nDid you generate the dummy data with the auto-generation tool (see the guide) or... | |
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"@lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ? \r\nThanks.",
"merging since the CI is fixed on master"
] |
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"@lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ? \r\nThanks.",
"Hi @rkc007 , thanks for the contribution.\r\nUnfortunately, the CAPES dataset has already been added here: #1307\r\nI'm closing the PR ",
"@lhoestq F... |
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} | UPDATE2 (3797ce5): Updated for multi-configs
UPDATE (7018082): manually created the dummy_datasets. All tests were cleared locally. Pushed it to origin/master
DRAFT VERSION (57fdb20): (_no longer draft_)
Uploaded the air_dialogue database.
dummy_data creation was failing in local, since the original downloaded file has some nested folders. Pushing it since the tests with real data was cleared. Will re-check & update via manually creating some dummy_data | {
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"@lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ? \r\nThanks.",
"@rkc007 @lhoestq just noticed a dataset named para_crawl has been added a long time ago: #91.",
"They're not exactly the same so it's ok to have both... |
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"Hi @iliemihai - you need to add the Readme file! Otherwise seems good. \r\nAlso don't forget to run `make style` & `flake8 datasets` locally, from the datasets folder",
"@skyprince999 I will add the README.d for it. Thank you :D ",
"Thanks for your contribution, @iliemihai. Are you still interested in adding ... |
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"Thanks much!"
] | |
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} | Datasets need manual downloads. Have thus created dummy data as well. But pytest on real and dummy data are failing.
I have completed the readme , tags and other required things. I need to create the metadata json once tests get successful.
Opening a PR while working with Yacine Jernite to resolve my pytest issues. | {
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README has to be updated. | {
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"**NOTE:**\r\n\r\n- Train and Dev: Manually downloaded (auto download is repeatedly giving `ConnectionError` for one of the files), Test: Auto Download\r\n- Dummy test is passing\r\n- The json file has been created with hard-coded paths for the manual downloads _(hardcoding has been removed from the final uploaded ... |
https://api.github.com/repos/huggingface/datasets/issues/1546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1546/comments | https://api.github.com/repos/huggingface/datasets/issues/1546/events | https://github.com/huggingface/datasets/pull/1546 | 765,559,923 | MDExOlB1bGxSZXF1ZXN0NTM4OTkwMjgw | 1,546 | Add persian ner dataset | {
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} | Adding the following dataset:
https://github.com/HaniehP/PersianNER
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"HI @SBrandeis. Thanks for all the comments - very helpful. I realised that the tests had failed and had been trying to figure out what was causing them to do so. All the tests pass when I run the load_real_dataset test however when I run `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_... |
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"merging since the CI is fixed on master"
] | |
https://api.github.com/repos/huggingface/datasets/issues/1544 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1544/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1544/comments | https://api.github.com/repos/huggingface/datasets/issues/1544/events | https://github.com/huggingface/datasets/pull/1544 | 765,514,828 | MDExOlB1bGxSZXF1ZXN0NTM4OTc5MjIz | 1,544 | Added Wiki Summary Dataset | {
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} | [] | closed | false | null | [] | null | 18 | 2020-12-13T16:33:46Z | 2020-12-18T16:20:06Z | 2020-12-18T16:17:18Z | CONTRIBUTOR | null | 0 | {
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} | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | {
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"@lhoestq why my tests are not running?",
"Maybe an issue with CircleCI, let me try to make them run",
"The CI error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related to this dataset and is fixed on master, you can ignore it",
"what I need to do now",
"Now the delimiter of the csv rea... |
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