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"It seems to share the same name as this dataset: https://openreview.net/forum?id=JENSKEEzsoU",
"> It seems to share the same name as this dataset: https://openreview.net/forum?id=JENSKEEzsoU\r\n\r\nyou're right it can be confusing. I'll add the organization/research group for clarity: `covid_qa_castorini`. I added the dataset you shared as `covid_qa_deepset` in another PR (#1182) ",
"Thanks for avoiding the name collision !"
] | 2020-12-07T17:06:51Z | 2020-12-08T17:02:26Z | 2020-12-08T17:02:26Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds CovidQA, a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle’s COVID-19 Open Research Dataset Challenge.
Link to the paper: https://arxiv.org/pdf/2004.11339.pdf
Link to the homepage: https://covidqa.ai | {
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"I've removed the `en` within `de` and reciprocally; but I don't think I will be able to thin it more than this. (Edit: ignore the close, I missclicked !)"
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"Hi! Let me know if any more comments! Will fix it! :-)"
] | 2020-12-07T16:35:37Z | 2020-12-10T14:30:55Z | 2020-12-09T18:01:31Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1260/comments | https://api.github.com/repos/huggingface/datasets/issues/1260/events | https://github.com/huggingface/datasets/pull/1260 | 758,601,828 | MDExOlB1bGxSZXF1ZXN0NTMzNzQ4ODM3 | 1,260 | Added NewsPH Raw Dataset | {
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"looks like this PR has changes to many files other than the ones for `NewsPH`\r\n\r\nCan you create another branch and another PR please ?"
] | 2020-12-07T15:17:53Z | 2020-12-08T16:27:15Z | 2020-12-08T16:27:15Z | NONE | null | null | false | {
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} | Added the raw version of the NewsPH dataset, which was used to automatically generate the NewsPH-NLI corpus. Dataset of news articles in Filipino from mainstream Philippine news sites on the internet. Can be used as a language modeling dataset or to reproduce the NewsPH-NLI dataset.
Paper: https://arxiv.org/abs/2010.11574
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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https://api.github.com/repos/huggingface/datasets/issues/1259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1259/comments | https://api.github.com/repos/huggingface/datasets/issues/1259/events | https://github.com/huggingface/datasets/pull/1259 | 758,565,320 | MDExOlB1bGxSZXF1ZXN0NTMzNzE4NjMz | 1,259 | Add KorQPair dataset | {
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"dummy data is missing",
"Hey @cceyda, thanks for pointing that out. I thought I'd added it, but seems like that wasn't the case. Just pushed a new commit with the dummy data."
] | 2020-12-07T14:33:57Z | 2021-12-29T00:49:40Z | 2020-12-08T15:11:41Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds a [Korean paired question dataset](https://github.com/songys/Question_pair) containing labels indicating whether two questions in a given pair are semantically identical. This dataset was used to evaluate the performance of [KoGPT2](https://github.com/SKT-AI/KoGPT2#subtask-evaluations) on a phrase detection downstream task. | {
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"Need help"
] | 2020-12-07T14:23:33Z | 2020-12-08T14:07:15Z | 2020-12-08T14:07:15Z | CONTRIBUTOR | null | null | false | {
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} | Adding LiMiT: The Literal Motion in Text Dataset
https://github.com/ilmgut/limit_dataset | {
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"looks like this PR also includes changes about another dataset `covid_qa_deepset`\r\n\r\nCould you create another branch and another PR that only includes the changes for the wikitext-tl-39 dataset ?"
] | 2020-12-07T13:43:48Z | 2020-12-08T16:00:58Z | 2020-12-08T16:00:58Z | NONE | null | null | false | {
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} | This PR adds the WikiText-TL-39 Filipino Language Modeling dataset.
Paper: https://arxiv.org/abs/1907.00409
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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} | ThaiNER (v1.3) is a 6,456-sentence named entity recognition dataset created from expanding the 2,258-sentence
[unnamed dataset](http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) by
[Tirasaroj and Aroonmanakun (2012)](http://pioneer.chula.ac.th/~awirote/publications/).
It is used to train NER taggers in [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp).
The NER tags are annotated by [Tirasaroj and Aroonmanakun (2012)]((http://pioneer.chula.ac.th/~awirote/publications/))
for 2,258 sentences and the rest by [@wannaphong](https://github.com/wannaphong/).
The POS tags are done by [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp)'s `perceptron` engine trained on `orchid_ud`.
[@wannaphong](https://github.com/wannaphong/) is now the only maintainer of this dataset. | {
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} | Supersedes #1168
> This PR adds the [Naver sentiment movie corpus](https://github.com/e9t/nsmc), a dataset containing Korean movie reviews from Naver, the most commonly used search engine in Korea. This dataset is often used to benchmark models on Korean NLP tasks, as seen in [this paper](https://www.aclweb.org/anthology/2020.lrec-1.199.pdf). | {
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"@lhoestq fixed :)"
] | 2020-12-07T13:23:08Z | 2020-12-14T10:05:01Z | 2020-12-14T10:05:00Z | CONTRIBUTOR | null | null | false | {
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} | Nergrit Corpus is a dataset collection for Indonesian Named Entity Recognition, Statement Extraction, and Sentiment Analysis. This PR is only for the Named Entity Recognition. | {
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"It not always practical to use nested `Sequence`. If you have troubles with sequence you can use lists instead. \r\n\r\nFor example\r\n```python\r\n\r\nfeatures=datasets.Features(\r\n {\r\n \"dial_id\": datasets.Value(\"string\"),\r\n \"doc_id\": datasets.Value(\"string\"),\r\n \"domain\": datasets.Value(\"string\"),\r\n \"turns\": [\r\n {\r\n \"turn_id\": datasets.Value(\"int32\"),\r\n \"role\": datasets.Value(\"string\"),\r\n \"da\": datasets.Value(\"string\"),\r\n \"reference\": [\r\n {\r\n \"keys\" : datasets.Value(\"string\"),\r\n \"values\": datasets.Value(\"string\"), \r\n }\r\n\r\n ],\r\n \"utterance\": datasets.Value(\"string\"),\r\n }\r\n ],\r\n }\r\n),\r\n```\r\n\r\nthis way `turns` will be a list of dict, and the \"reference\" key of `turns` will be a list of dict as well",
"No problem thanks for all your help getting this to the final stages! Added .gitignore, removed .lock and applied the changes you asked for."
] | 2020-12-07T12:39:09Z | 2020-12-14T16:17:14Z | 2020-12-14T16:17:14Z | CONTRIBUTOR | null | null | false | {
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} | ### Doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset v0.9
Once complete this will add the [Doc2dial](https://doc2dial.github.io/data.html) dataset from the generic data sets list. | {
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"looks like this PR includes changes about many files other than the ones for IndoNLU\r\nCould you create another branch and another PR please ?",
"> looks like this PR includes changes about many files other than the ones for IndoNLU\r\n> Could you create another branch and another PR please ?\r\n\r\nOkay I'll make it"
] | 2020-12-07T11:38:45Z | 2020-12-08T14:11:50Z | 2020-12-08T14:11:50Z | CONTRIBUTOR | null | null | false | {
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"Thanks for your contribution, @abhishekkrthakur. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-07T11:09:17Z | 2023-09-24T09:40:49Z | 2022-10-03T09:39:32Z | CONTRIBUTOR | null | null | true | {
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"Thanks for your contribution, @abhishekkrthakur. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-07T10:26:05Z | 2023-09-24T09:40:54Z | 2022-10-03T09:39:37Z | CONTRIBUTOR | null | null | true | {
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"looks like this PR includes changes to many files other than the ones related to bprec\r\nCan you create another branch and another PR please ?",
"> looks like this PR includes changes to many files other than the ones related to bprec\r\n> Can you create another branch and another PR please ?\r\n\r\nYes, I realized I messed this one up, learning my way :) I'll close this one and open another hopefully clean PR :) Thanks!"
] | 2020-12-07T10:15:49Z | 2020-12-08T14:33:49Z | 2020-12-08T14:33:48Z | CONTRIBUTOR | null | null | false | {
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More info : http://opus.nlpl.eu/Elhuyar.php | {
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"can you also run `make style` to format the code ?",
"I'll come back to this one in sometime :) @lhoestq ",
"Also if you would use `xml.etree.ElementTree` to parse the XML it would be awesome, because right now you're using an external dependency `xmltodict `",
"> Also if you would use xml.etree.ElementTree to parse the XML it would be awesome, because right now you're using an external dependency xmltodict\r\n\r\nIts pseudo xml so elementtree fails. xmltodict seems to be working quite good for this. do we have examples of pseudo xml datasets?",
"for the other pseudo xml the text is parsed manually",
"Can you add `xmltodict` to the test dependencies in setup.py please to fix the CI please ?",
"Also can you add the dataset card with the tags and run `make style` ?",
"Hi :) have you had a chance to fix the test dependency and apply `make style` ?\r\n\r\nFeel fee to ping me when it's ready for a review",
"Thanks for your contribution, @abhishekkrthakur. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-07T09:57:15Z | 2023-09-24T09:40:59Z | 2022-10-03T09:39:43Z | CONTRIBUTOR | null | null | true | {
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https://api.github.com/repos/huggingface/datasets/issues/1239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1239/comments | https://api.github.com/repos/huggingface/datasets/issues/1239/events | https://github.com/huggingface/datasets/pull/1239 | 758,339,593 | MDExOlB1bGxSZXF1ZXN0NTMzNTI4NTU5 | 1,239 | add yelp_review_full dataset | {
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"Moved to https://github.com/huggingface/datasets/pull/1315"
] | 2020-12-07T09:35:36Z | 2020-12-08T15:43:24Z | 2020-12-08T15:00:50Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1238/comments | https://api.github.com/repos/huggingface/datasets/issues/1238/events | https://github.com/huggingface/datasets/pull/1238 | 758,321,688 | MDExOlB1bGxSZXF1ZXN0NTMzNTEzODUw | 1,238 | adding poem_sentiment | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-07T09:11:52Z | 2020-12-09T16:36:10Z | 2020-12-09T16:02:45Z | CONTRIBUTOR | null | null | false | {
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} | Adding poem_sentiment dataset.
https://github.com/google-research-datasets/poem-sentiment | {
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https://api.github.com/repos/huggingface/datasets/issues/1237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1237/comments | https://api.github.com/repos/huggingface/datasets/issues/1237/events | https://github.com/huggingface/datasets/pull/1237 | 758,318,353 | MDExOlB1bGxSZXF1ZXN0NTMzNTExMDky | 1,237 | Add AmbigQA dataset | {
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} | # AmbigQA: Answering Ambiguous Open-domain Questions Dataset
Adding the [AmbigQA](https://nlp.cs.washington.edu/ambigqa/) dataset as part of the sprint 🎉 (from Open dataset list for Dataset sprint)
Added both the light and full versions (as seen on the dataset homepage)
The json format changes based on the value of one 'type' field, so I set the unavailable field to an empty list. This is explained in the README -> Data Fields
```py
train_light_dataset = load_dataset('./datasets/ambig_qa',"light",split="train")
val_light_dataset = load_dataset('./datasets/ambig_qa',"light",split="validation")
train_full_dataset = load_dataset('./datasets/ambig_qa',"full",split="train")
val_full_dataset = load_dataset('./datasets/ambig_qa',"full",split="validation")
for example in train_light_dataset:
for i,t in enumerate(example['annotations']['type']):
if t =='singleAnswer':
# use the example['annotations']['answer'][i]
# example['annotations']['qaPairs'][i] - > is []
print(example['annotations']['answer'][i])
else:
# use the example['annotations']['qaPairs'][i]
# example['annotations']['answer'][i] - > is []
print(example['annotations']['qaPairs'][i])
```
- [x] All tests passed
- [x] Added dummy data
- [x] Added data card (as much as I could)
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https://api.github.com/repos/huggingface/datasets/issues/1236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1236/comments | https://api.github.com/repos/huggingface/datasets/issues/1236/events | https://github.com/huggingface/datasets/pull/1236 | 758,263,012 | MDExOlB1bGxSZXF1ZXN0NTMzNDYzOTg2 | 1,236 | Opus finlex dataset of language pair Finnish and Swedish | {
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} | Added Opus_finlex dataset of language pair Finnish and Swedish
More info : http://opus.nlpl.eu/Finlex.php | {
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https://api.github.com/repos/huggingface/datasets/issues/1235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1235/comments | https://api.github.com/repos/huggingface/datasets/issues/1235/events | https://github.com/huggingface/datasets/pull/1235 | 758,234,511 | MDExOlB1bGxSZXF1ZXN0NTMzNDM5NDk4 | 1,235 | Wino bias | {
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"Closing this PR because of messed up history and opening another one after discussion with Quentin Lhoest.\r\n"
] | 2020-12-07T07:12:42Z | 2020-12-10T20:48:12Z | 2020-12-10T20:48:01Z | CONTRIBUTOR | null | null | false | {
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} | The PR will fail circleCi tests because of the requirement of manual loading of data. Fresh PR because of messed up history of the previous one. | {
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https://api.github.com/repos/huggingface/datasets/issues/1234 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1234/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1234/comments | https://api.github.com/repos/huggingface/datasets/issues/1234/events | https://github.com/huggingface/datasets/pull/1234 | 758,229,304 | MDExOlB1bGxSZXF1ZXN0NTMzNDM0ODkz | 1,234 | Added ade_corpus_v2, with 3 configs for relation extraction and classification task | {
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"@lhoestq I have added the tags they are in separate files for 3 different configs",
"@lhoestq thanks for the review I added your suggested changes.",
"merging since the CI is fixed on master"
] | 2020-12-07T07:05:14Z | 2020-12-14T17:49:14Z | 2020-12-14T17:49:14Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq I tried manually creating the dummy files. But unfortunately it was raising an error during testing the dummy data (regarding JSON parsing).\r\n\r\nThe JSONs are pretty big so I cannot actually open it without crashing the text editor.\r\n\r\n Do you have any suggestions?",
"@lhoestq I have made all the changes you mentioned."
] | 2020-12-07T06:01:00Z | 2020-12-20T13:34:09Z | 2020-12-09T14:50:29Z | CONTRIBUTOR | null | null | false | {
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} | @lhoestq opened a clean PR containing only relevant files.
old PR #1140 | {
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"merging since the CI is fixed on master"
] | 2020-12-07T03:19:50Z | 2020-12-07T18:04:55Z | 2020-12-07T16:57:54Z | CONTRIBUTOR | null | null | false | {
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old PR #1125 | {
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"Hi @mapmeld !\r\nhave you had a chance to take a look at my suggestions ?\r\n\r\nFeel free to ping me if you have questions or when you're ready for a review",
"@lhoestq unfortunately I don't have any more information about where the dataset comes from",
"It's fine, you can just add the sections titles back and leave the content with `[More Information Needed]`\r\n\r\n",
"added missing sections, updated the Python code ✅ "
] | 2020-12-07T02:23:29Z | 2020-12-21T10:09:09Z | 2020-12-21T10:09:09Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1228/comments | https://api.github.com/repos/huggingface/datasets/issues/1228/events | https://github.com/huggingface/datasets/pull/1228 | 758,049,068 | MDExOlB1bGxSZXF1ZXN0NTMzMjg1ODI2 | 1,228 | add opus_100 dataset | {
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"done."
] | 2020-12-06T23:17:24Z | 2020-12-09T14:54:00Z | 2020-12-09T14:54:00Z | CONTRIBUTOR | null | null | false | {
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} | This PR will add [opus100 dataset](http://opus.nlpl.eu/opus-100.php). | {
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https://api.github.com/repos/huggingface/datasets/issues/1227 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1227/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1227/comments | https://api.github.com/repos/huggingface/datasets/issues/1227/events | https://github.com/huggingface/datasets/pull/1227 | 758,049,060 | MDExOlB1bGxSZXF1ZXN0NTMzMjg1ODIx | 1,227 | readme: remove link to Google's responsible AI practices | {
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} | ...maybe we'll find a company that reallly stands behind responsible AI practices ;) | {
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https://api.github.com/repos/huggingface/datasets/issues/1226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1226/comments | https://api.github.com/repos/huggingface/datasets/issues/1226/events | https://github.com/huggingface/datasets/pull/1226 | 758,036,979 | MDExOlB1bGxSZXF1ZXN0NTMzMjc2OTU3 | 1,226 | Add menyo_20k_mt dataset | {
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"looks like your PR includes changes about many other files than the ones for menyo 20k mt\r\nCan you create another branch and another PR please ?",
"Yes, I will"
] | 2020-12-06T22:16:15Z | 2020-12-10T19:22:14Z | 2020-12-10T19:22:14Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1225/comments | https://api.github.com/repos/huggingface/datasets/issues/1225/events | https://github.com/huggingface/datasets/pull/1225 | 758,035,501 | MDExOlB1bGxSZXF1ZXN0NTMzMjc1ODcx | 1,225 | Add Winobias dataset | {
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"Will make another pull request with cleaner history"
] | 2020-12-06T22:08:20Z | 2020-12-07T06:45:59Z | 2020-12-07T06:40:50Z | CONTRIBUTOR | null | null | false | {
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} | Pardon me for different commits with same message. There were conflicts after I rebased master while simultaneously pushing my changes to local repo, hence the duplicate entries. | {
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https://api.github.com/repos/huggingface/datasets/issues/1224 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1224/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1224/comments | https://api.github.com/repos/huggingface/datasets/issues/1224/events | https://github.com/huggingface/datasets/pull/1224 | 758,022,998 | MDExOlB1bGxSZXF1ZXN0NTMzMjY2Njg1 | 1,224 | adding conceptnet5 | {
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"Thank you. I'll make those changes. but I'm having problems trying to push my changes to my fork\r\n",
"Hi, I've removed the TODO, and added a README.md. How do I push these changes?\r\n",
"Also, what docstring are you recommending?\r\n",
"> Hi, I've removed the TODO, and added a README.md. How do I push these changes?\r\n\r\nyou can just commit and push your changes to the same branch as your first commit.",
"@ghomasHudson I've tried it but still getting code quality error. I've removed all blank lines, etc. required by flake8. Don't know what else to do",
"> @ghomasHudson I've tried it but still getting code quality error. I've removed all blank lines, etc. required by flake8. Don't know what else to do\r\n\r\nDid you run `make style` before committing? When I run it, it fixes some things (e.g. Splitting line 96 which is currently too long).",
"I think @yjernite is looking into this. I did \"make style\" but nothing happens",
"looks like your PR includes changes about many other files than the ones related to conceptnet5\r\n\r\ncould you create another branch and another PR please ?",
"@lhoestq I'm not sure what I did wrong. What did I push that wasn't conceptnet5? How do I see this?\r\n\r\n did this\r\n\r\nmake style\r\nflake8 datasets\r\ngit add datasets/<your_dataset_name>\r\ngit commit\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit pull\r\ngit push -u origin conceptnet5",
"Thanks for rebasing and force push :) ",
"Yeah! Thank you @lhoestq, @ghomasHudson and @yjernite !"
] | 2020-12-06T21:06:53Z | 2020-12-09T16:38:16Z | 2020-12-09T14:37:17Z | CONTRIBUTOR | null | null | false | {
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} | Adding the conceptnet5 and omcs txt files used to create the conceptnet5 dataset. Conceptne5 is a common sense dataset. More info can be found here: https://github.com/commonsense/conceptnet5/wiki | {
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https://api.github.com/repos/huggingface/datasets/issues/1223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1223/comments | https://api.github.com/repos/huggingface/datasets/issues/1223/events | https://github.com/huggingface/datasets/pull/1223 | 758,022,208 | MDExOlB1bGxSZXF1ZXN0NTMzMjY2MDc4 | 1,223 | 🇸🇪 Added Swedish Reviews dataset for sentiment classification in Sw… | {
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https://api.github.com/repos/huggingface/datasets/issues/1222 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1222/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1222/comments | https://api.github.com/repos/huggingface/datasets/issues/1222/events | https://github.com/huggingface/datasets/pull/1222 | 758,018,953 | MDExOlB1bGxSZXF1ZXN0NTMzMjYzODIx | 1,222 | Add numeric fused head dataset | {
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"> Thanks for adding this @ghomasHudson!\r\n> I added some comments for some of the fields.\r\n> \r\n> Also, I'm not sure about this since I haven't used the library yet, but maybe it's worth adding the identification and resolution as two separate datasets?\r\n\r\nThanks for replying @yanaiela - I hope this will make your dataset more accessible to a wider audience - I've added the changes to the model card you suggested.\r\n\r\nIn terms of the identification and resolution tasks, I've currently added them as separate `splits` in huggingface/datasets so you can load identification like this:\r\n\r\n```\r\nimport datasets\r\ndataset = datasets.load_dataset(\"numeric_fused_head\", \"identification\")\r\nprint(dataset[\"train\"][0])\r\n>> {\"tokens\": [\"The\", \"quick\", \"brown\", \"fox\",....], \"start_index\": 11, \"end_index\": 12, \"label\": 0}\r\n```\r\nAnd resolution like this:\r\n\r\n```\r\nimport datasets\r\ndataset = datasets.load_dataset(\"numeric_fused_head\", \"resolution\")\r\nprint(dataset[\"train\"][0])\r\n>> {\"tokens\": [\"The\", \"quick\", \"brown\", \"fox\",....], \"head\": [\"AGE\"], \"anchors_indices\": [12], ...}\r\n```",
"I hope so too, thanks!\r\n\r\nRe the splits, that makes sense to me."
] | 2020-12-06T20:46:53Z | 2020-12-08T11:17:56Z | 2020-12-08T11:17:55Z | CONTRIBUTOR | null | null | false | {
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} | Adding the [NFH: Numeric Fused Head](https://nlp.biu.ac.il/~lazary/fh/) dataset.
Everything looks sensible and I've included both the identification and resolution tasks. I haven't personally used this dataset in my research so am unable to specify what the default configuration / supervised keys should be.
I've filled out the basic info on the model card to the best of my knowledge but it's a little tricky to understand exactly what the fields represent.
Dataset author: @yanaiela | {
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} | This PR adds the [Hong Kong Cantonese Corpus](http://compling.hss.ntu.edu.sg/hkcancor/), by [Luke and Wong 2015](http://compling.hss.ntu.edu.sg/hkcancor/data/LukeWong_Hong-Kong-Cantonese-Corpus.pdf).
The dummy data included here was manually created, as the original dataset uses a xml-like format (see a copy hosted [here](https://github.com/fcbond/hkcancor/blob/master/sample/d1_v.txt) for example) that requires a few processing steps. | {
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https://api.github.com/repos/huggingface/datasets/issues/1220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1220/comments | https://api.github.com/repos/huggingface/datasets/issues/1220/events | https://github.com/huggingface/datasets/pull/1220 | 758,015,894 | MDExOlB1bGxSZXF1ZXN0NTMzMjYxNTgw | 1,220 | add Korean HateSpeech dataset | {
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"It looks like you forgot to `make style` (I forget it a lot too 🤦 )\r\n+ add dummy data",
"hi @cceyda 👋, thanks for the hint! it looks like i've run into some other errors though in `_split_generators` or `_generate_examples`. do you have any idea of what's wrong here? 😅",
"I get the same errors on another pr too, so it probably has something to do with circleci, waiting on help.",
"the `RemoteDatasetTest ` error on the CI is fixed on master so it's fine",
"merging since the CI is fixed on master"
] | 2020-12-06T20:31:29Z | 2020-12-08T15:21:09Z | 2020-12-08T11:05:42Z | MEMBER | null | null | false | {
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} | Supersedes #1177
> This PR adds the [Korean named entity recognition dataset](https://github.com/kmounlp/NER). This dataset has been used in many downstream tasks, such as training [KoBERT](https://github.com/SKTBrain/KoBERT) for NER, as seen in this [KoBERT-CRF implementation](https://github.com/eagle705/pytorch-bert-crf-ner). | {
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"Thanks for the comments Quentin!\r\nI integrated them",
"It should be ok now!\r\nSorry I wasn't attentive enough.\r\n(tests are currently failing, I understand it's from other datasets)",
"merging since the CI is fixed on master"
] | 2020-12-06T19:59:12Z | 2020-12-15T15:27:30Z | 2020-12-15T15:27:29Z | CONTRIBUTOR | null | null | false | {
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} | 3 tasks for the WMT 20 MLQE shared tasks -> 3 different datasets
(I re-created #1137 because it was too messy).
Note that in L199 `task3.py`, I used `logging.warning` to print some missing data in the train set. | {
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https://api.github.com/repos/huggingface/datasets/issues/1217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1217/comments | https://api.github.com/repos/huggingface/datasets/issues/1217/events | https://github.com/huggingface/datasets/pull/1217 | 758,008,321 | MDExOlB1bGxSZXF1ZXN0NTMzMjU2MjU4 | 1,217 | adding DataCommons fact checking | {
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} | Adding the data from: https://datacommons.org/factcheck/
Had to cheat a bit with the dummy data as the test doesn't recognize `.txt.gz`: had to rename uncompressed files with the `.gz` extension manually without actually compressing | {
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https://api.github.com/repos/huggingface/datasets/issues/1216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1216/comments | https://api.github.com/repos/huggingface/datasets/issues/1216/events | https://github.com/huggingface/datasets/pull/1216 | 758,005,982 | MDExOlB1bGxSZXF1ZXN0NTMzMjU0ODE2 | 1,216 | Add limit | {
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} | [] | closed | false | null | [] | null | [
"My bad, didn't see this on the open dataset list. Closing this since it overlaps with PR#1256"
] | 2020-12-06T19:46:18Z | 2020-12-08T07:52:11Z | 2020-12-08T07:52:11Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds [LiMiT](https://github.com/ilmgut/limit_dataset), a dataset for literal motion classification/extraction by [Manotas et al., 2020](https://www.aclweb.org/anthology/2020.findings-emnlp.88.pdf). | {
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https://api.github.com/repos/huggingface/datasets/issues/1215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1215/comments | https://api.github.com/repos/huggingface/datasets/issues/1215/events | https://github.com/huggingface/datasets/pull/1215 | 758,002,885 | MDExOlB1bGxSZXF1ZXN0NTMzMjUyNjUx | 1,215 | Add irc disentanglement | {
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"looks like this PR includes changes about many files other than the ones for irc_disentanglement\r\n\r\nCould you please create a new branch and create another PR please ?",
"closing in favor of #1586 "
] | 2020-12-06T19:30:46Z | 2020-12-16T16:18:25Z | 2020-12-16T16:18:25Z | CONTRIBUTOR | null | null | false | {
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} | added files for irc disentanglement dataset
was unable to test dummy data as a result of vpn/proxy issues | {
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https://api.github.com/repos/huggingface/datasets/issues/1214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1214/comments | https://api.github.com/repos/huggingface/datasets/issues/1214/events | https://github.com/huggingface/datasets/pull/1214 | 758,002,786 | MDExOlB1bGxSZXF1ZXN0NTMzMjUyNTgx | 1,214 | adding medical-questions-pairs dataset | {
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} | This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors.
Dataset : https://github.com/curai/medical-question-pair-dataset
Paper : https://drive.google.com/file/d/1CHPGBXkvZuZc8hpr46HeHU6U6jnVze-s/view | {
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https://api.github.com/repos/huggingface/datasets/issues/1213 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1213/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1213/comments | https://api.github.com/repos/huggingface/datasets/issues/1213/events | https://github.com/huggingface/datasets/pull/1213 | 757,983,884 | MDExOlB1bGxSZXF1ZXN0NTMzMjM4NzEz | 1,213 | add taskmaster3 | {
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} | [] | closed | false | null | [] | null | [
"(you were unlucky, my rule of thumb for reducing the dummy data is to check whether they're above 50KB and you're at 52KB ^^')",
"> (you were unlucky, my rule of thumb for reducing the dummy data is to check whether they're above 50KB and you're at 52KB ^^')\r\n\r\nOops :(\r\n\r\nThanks for the suggestion, will reduce the size"
] | 2020-12-06T17:56:03Z | 2020-12-09T11:05:10Z | 2020-12-09T11:00:29Z | CONTRIBUTOR | null | null | false | {
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} | Adding Taskmaster-3 dataset
https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020.
The dataset structure almost same as original dataset with these two changes
1. In original dataset, each `apis` has a `args` filed which is a `dict` with variable keys, which represent the name and value of the args. Here converted that to a `list` of `dict` with keys `arg_name` and `arg_value`. For ex.
```python
args = {"name.movie": "Mulan", "name.theater": ": "Mountain AMC 16"}
```
becomes
```python
[
{
"arg_name": "name.movie",
"arg_value": "Mulan"
},
{
"arg_name": "name.theater",
"arg_value": "Mountain AMC 16"
}
]
```
2. Each `apis` has a `response` which is also a `dict` with variable keys representing response name/type and it's value. As above converted it to `list` of `dict` with keys `response_name` and `response_value`.
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"merging since the CI is fixed on master"
] | 2020-12-06T17:31:31Z | 2020-12-07T19:04:08Z | 2020-12-07T19:04:08Z | CONTRIBUTOR | null | null | false | {
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} | Adds a collection of Spanish corpora that can be useful for pretraining language models.
Following a nice suggestion from @yjernite we provide the user with three main ways to preprocess / load either
* the whole corpus (17GB!)
* one specific sub-corpus
* the whole corpus, but return a single split. this is useful if you want to cache the whole preprocessing step once and interact with individual sub-corpora
See the dataset card for more details.
Ready for review! | {
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"@lhoestq All necessary modifications have been done."
] | 2020-12-06T16:40:19Z | 2020-12-20T13:34:56Z | 2020-12-16T16:57:11Z | CONTRIBUTOR | null | null | false | {
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} | Adding Google [XSum Hallucination Annotations](https://github.com/google-research-datasets/xsum_hallucination_annotations) dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1209 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1209/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1209/comments | https://api.github.com/repos/huggingface/datasets/issues/1209/events | https://github.com/huggingface/datasets/pull/1209 | 757,965,934 | MDExOlB1bGxSZXF1ZXN0NTMzMjI1NzMw | 1,209 | [AfriBooms] Dataset exists already | {
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"It's so cool seeing all these datasets fly by and see how they are still of interest. I did my internship at the research group of Liesbeth Augustinus et al. They're a very kind group of people!",
"merging since the CI is fixed on master"
] | 2020-12-06T16:35:13Z | 2020-12-07T16:52:24Z | 2020-12-07T16:52:23Z | CONTRIBUTOR | null | null | false | {
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} | When trying to add "AfriBooms": https://docs.google.com/spreadsheets/d/12ShVow0M6RavnzbBEabm5j5dv12zBaf0y-niwEPPlo4/edit#gid=1386399609 I noticed that the dataset exists already as a config of Universal Dependencies (universal_dependencies.py). I checked and the data exactly matches so that the new data link does not give any new data.
This PR improves the config's description a bit by linking to the paper. | {
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https://api.github.com/repos/huggingface/datasets/issues/1206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1206/comments | https://api.github.com/repos/huggingface/datasets/issues/1206/events | https://github.com/huggingface/datasets/pull/1206 | 757,952,992 | MDExOlB1bGxSZXF1ZXN0NTMzMjE2NDYw | 1,206 | Adding Enriched WebNLG dataset | {
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"Nice :) \r\n\r\ncould you add the tags and also remove all the dummy data files that are not zipped ? The diff currently shows 800 files changes xD",
"Aaaaand it's rebase time - the new one is at #1264 !",
"closing this one since a new PR was created"
] | 2020-12-06T15:36:20Z | 2023-09-24T09:51:43Z | 2020-12-09T09:40:32Z | CONTRIBUTOR | null | null | false | {
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} | This pull requests adds the `en` and `de` versions of the [Enriched WebNLG](https://github.com/ThiagoCF05/webnlg) dataset | {
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"The pytest suite doesn't allow manual downloads so we just make sure that the `datasets-cli test` command to run without errors instead",
"@lhoestq Changes made. Thank you for the review. I've made some same mistakes for https://github.com/huggingface/datasets/pull/1253 too. Will fix them before review."
] | 2020-12-06T14:49:10Z | 2020-12-09T16:33:10Z | 2020-12-09T16:33:10Z | CONTRIBUTOR | null | null | false | {
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} | passed on local:
```
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_lst20
```
Not sure how to test:
```
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_lst20
```
```
LST20 Corpus is a dataset for Thai language processing developed by National Electronics and Computer Technology Center (NECTEC), Thailand.
It offers five layers of linguistic annotation: word boundaries, POS tagging, named entities, clause boundaries, and sentence boundaries.
At a large scale, it consists of 3,164,002 words, 288,020 named entities, 248,181 clauses, and 74,180 sentences, while it is annotated with
16 distinct POS tags. All 3,745 documents are also annotated with one of 15 news genres. Regarding its sheer size, this dataset is
considered large enough for developing joint neural models for NLP.
Manually download at https://aiforthai.in.th/corpus.php
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1203 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1203/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1203/comments | https://api.github.com/repos/huggingface/datasets/issues/1203/events | https://github.com/huggingface/datasets/pull/1203 | 757,935,170 | MDExOlB1bGxSZXF1ZXN0NTMzMjAzMTc0 | 1,203 | Add Neural Code Search Dataset | {
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"> Really good thanks !\r\n> \r\n> I left a few comments\r\n\r\nThanks, resolved them :) ",
"looks like this PR includes changes about many other files than the ones for Code Search\r\n\r\ncan you create another branch and another PR please ?",
"> looks like this PR includes changes about many other files than the ones for Code Search\r\n> \r\n> can you create another branch and another PR please ?\r\n\r\nOkay sure"
] | 2020-12-06T14:12:39Z | 2020-12-09T16:40:15Z | 2020-12-09T16:40:15Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1202/comments | https://api.github.com/repos/huggingface/datasets/issues/1202/events | https://github.com/huggingface/datasets/pull/1202 | 757,934,408 | MDExOlB1bGxSZXF1ZXN0NTMzMjAyNjE0 | 1,202 | Medical question pairs | {
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} | This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors.
Dataset : https://github.com/curai/medical-question-pair-dataset
Paper : https://drive.google.com/file/d/1CHPGBXkvZuZc8hpr46HeHU6U6jnVze-s/view
**No splits added** | {
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} | Windows needs special treatment again: unfortunately adding `torch` to the requirements does not work well (crashing the installation). Users should first install torch manually and then continue with the other commands.
This issue arises all the time when adding torch as a dependency, but because so many novice users seem to participate in adding datasets, it may be useful to add an explicit note for Windows users to ensure that they do not run into issues. | {
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"the .DUMP file looks like a txt with one example per line so adding `--match_text_files *.DUMP --n_lines 50` to the dummy generation command might work .",
"We can close this PR since a new PR was open at #1268 "
] | 2020-12-06T12:00:03Z | 2020-12-16T16:13:24Z | 2020-12-16T16:13:24Z | CONTRIBUTOR | null | null | false | {
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} | I've written the script (Turkish_NER.py) that includes dataset. The dataset is a zip inside another zip, and it's extracted as .DUMP file. However, after preprocessing I only get .arrow file. After I ran the script with no error messages, I get .arrow file of dataset, LICENSE and dataset_info.json. | {
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"the `RemoteDatasetTest ` erros in the CI are fixed on master so it's fine",
"used `Translation ` feature type and fixed few typos as you suggested.",
"Sorry, I made a mistake. please see new PR here. https://github.com/huggingface/datasets/pull/1436"
] | 2020-12-06T11:25:30Z | 2020-12-10T04:18:12Z | 2020-12-10T04:18:12Z | CONTRIBUTOR | null | null | false | {
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https://github.com/google-research-datasets/Taskmaster/tree/master/TM-2-2020 | {
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"Thanks ! feel free to ping me once you've added the tags in the dataset card :) ",
"merging since the CI is fixed on master"
] | 2020-12-06T10:36:31Z | 2020-12-11T18:26:51Z | 2020-12-11T18:26:51Z | CONTRIBUTOR | null | null | false | {
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from https://nlp.stanford.edu/projects/nmt/data/iwslt15.en-vi/ | {
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https://api.github.com/repos/huggingface/datasets/issues/1195 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1195/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1195/comments | https://api.github.com/repos/huggingface/datasets/issues/1195/events | https://github.com/huggingface/datasets/pull/1195 | 757,889,045 | MDExOlB1bGxSZXF1ZXN0NTMzMTcwMjY2 | 1,195 | addition of py_ast | {
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"Hi @reshinthadithyan !\r\n\r\nAs mentioned on the Slack, it would be better in this case to parse the file lines into the following feature structure:\r\n```python\r\n\"ast\": datasets.Sequence(\r\n {\r\n \"type\": datasets.Value(\"string\"),\r\n \"value\": datasets.Value(\"string\"),\r\n \"children\": datasets.Sequence(datasets.Value(\"int32\")),\r\n },\r\n)\r\n```\r\n\r\nHere are a few more things to fix before we can move forward:\r\n- the class name needs to be the CamelCase equivalent of the script name, so here it will have to be `PyAst`\r\n- the `README.md` needs to have the tags at the top\r\n- The homepage/info list at the top should be in the same format as the template (added a suggestion)\r\n- You should add the dataset tags and field description to the README as described here: https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card\r\n\r\nGood luck, let us know if you need any help!",
"Hello @yjernite, changes have been made as we talked. Hope this would suffice. Thanks. Feel free to point out any room to improvement.",
"Good progress! Here's what still needs to be done:\r\n- first, you need to rebase to master for the tests to pass :)\r\n- the information in your `Data Fields` paragraph should go into `Data Instances`. Data fields should describe the fields one by one, as in e.g. https://github.com/huggingface/datasets/tree/master/datasets/eli5#data-fields\r\n- you still need to add the YAML tags obtained with the tagging app\r\n\r\nShould be good to go after that!",
"Hello @yjernite, changes as talked are being done.",
"Looks like this PR includes changes about many other files than the ones for py_ast\r\n\r\nCould you create another branch and another PR please ?"
] | 2020-12-06T10:00:52Z | 2020-12-08T06:19:24Z | 2020-12-08T06:19:24Z | CONTRIBUTOR | null | null | false | {
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The Python programs are collected from GitHub repositories
by removing duplicate files, removing project forks (copy of another existing repository)
,keeping only programs that parse and have at most 30'000 nodes in the AST and
we aim to remove obfuscated files | {
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"the `RemoteDatasetTest ` error in the CI is fixed on master so it's fine"
] | 2020-12-06T09:06:11Z | 2020-12-09T10:53:45Z | 2020-12-09T10:53:45Z | CONTRIBUTOR | null | null | false | {
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https://github.com/google-research-datasets/Taskmaster/tree/master/TM-1-2019 | {
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} | This PR adds the NewsPH-NLI Dataset, the first benchmark dataset for sentence entailment in the low-resource Filipino language. Constructed through exploting the structure of news articles. Contains 600,000 premise-hypothesis pairs, in 70-15-15 split for training, validation, and testing.
Link to the paper: https://arxiv.org/pdf/2010.11574.pdf
Link to the dataset/repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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"Can you run `make style` to format the code and fix the CI please ?",
"> Can you run `make style` to format the code and fix the CI please ?\r\n\r\nI ran `make style` before this PR and just a few minutes ago. No changes to the code. Not sure why the CI is failing.",
"Also, I attempted to see if I can get the source Chinese sentences from `wmt17` dataset. But this call `data = load_dataset('wmt17', \"zh-en\")` failed with this error: `FileNotFoundError: Couldn't find file at https://storage.googleapis.com/tfdataset-data/downloadataset/uncorpus/UNv1.0.en-zh.tar.gz`. I think it should be possible and fairly straightforward to get the pairing source sentences from it. I just can not test it right now.",
"The `RemoteDatasetTest ` errors in the CI are fixed on master so it's fine",
"merging since the CI is fixed on master"
] | 2020-12-06T03:34:13Z | 2020-12-09T13:22:45Z | 2020-12-09T13:22:45Z | CONTRIBUTOR | null | null | false | {
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} | …tion system from Open dataset list for Dataset sprint, Microsoft Datasets tab. | {
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"Hi! I'm the author of this paper (surprised to see our datasets have been added already).\r\n\r\nThat paper link only leads to the conference index, here's a link to the actual paper: https://www.aclweb.org/anthology/2020.lrec-1.316/\r\n\r\nWould it be fine if I also edited your gsheet entry to reflect this change?",
"Hi Jan, please go ahead and update. I see you are also in the sprint slack channel. Let me know if what else needs updating. Thanks.\r\n"
] | 2020-12-06T03:12:15Z | 2020-12-07T15:39:27Z | 2020-12-07T15:39:27Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds the Fake News Filipino Dataset, a low-resource fake news detection corpora in Filipino. Contains 3,206 expertly-labeled news samples, half of which are real and half of which are fake.
Link to the paper: http://www.lrec-conf.org/proceedings/lrec2020/index.html
Link to the dataset/repo: https://github.com/jcblaisecruz02/Tagalog-fake-news | {
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} | This PR adds the Dengue Dataset, a benchmark dataset for low-resource multiclass classification, with 4,015 training, 500 testing, and 500 validation examples, each labeled as part of five classes. Each sample can be a part of multiple classes. Collected as tweets.
Link to the paper: https://ieeexplore.ieee.org/document/8459963
Link to the dataset/repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
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"help needed in dummy data",
"extension of the file is .plaintext so dummy data generation is failing\r\n",
"you can add the `--match_text_file \"*.plaintext\"` flag when generating the dummy data\r\n\r\nalso it looks like the PR is empty, is this expected ?",
"yes it is expected because I made all my changes in PR #1186 then I again run code and open PR #1188 to see if this time test passes or not only so there is no code change from #1186 to #1188 \r\ni tried --match_text_file \"*.plaintext\" this time it is also not generating dummy data don't know why",
"well this PR includes no code change at all, can you make sure you added your changes in this one ?",
"feel free to ping me when you have added the files so I can take a look and help you with the dummy data",
"how to do that i dont know did i have to open new PR\r\n",
" actually all my changes are visible in #1186 but don't know how to show same changes here",
"these are a the which i did in #1186 and same in #1188 \r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nthese same codes are in both #1186 and #1188 so because it is already present from PR #1186 because of that it is showing zeor code change in #1188 because it is already present from #1186 how i can show or highlight those changes\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n",
"well for me https://github.com/huggingface/datasets/pull/1188/files is blank",
"This PR tries to merge the master branch of you fork into this repo, however I can't find changes with your files inside your master branch.\r\n\r\nMaybe you can fork again the repo and try to create another PR ?",
"@lhoestq i opened a new pr #1438 but this time it fails many circl ci tests",
"Closing this one since a new PR was created"
] | 2020-12-06T02:18:45Z | 2020-12-11T17:40:41Z | 2020-12-11T17:40:41Z | CONTRIBUTOR | null | null | false | {
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"merging since the CI is fixed on master"
] | 2020-12-06T02:12:52Z | 2020-12-07T15:37:12Z | 2020-12-07T15:37:12Z | CONTRIBUTOR | null | null | false | {
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"looks like this PR includes changes to 5000 files\r\ncould you create a new branch and a new PR ?"
] | 2020-12-06T02:12:32Z | 2020-12-07T15:06:55Z | 2020-12-07T15:06:55Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds the Hate Speech Dataset, a text classification dataset in Filipino, consisting 10k tweets (training set) that are labeled as hate speech or non-hate speech. Released with 4,232 validation and 4,232 testing samples. Collected during the 2016 Philippine Presidential Elections.
Link to the paper: https://pcj.csp.org.ph/index.php/pcj/issue/download/29/PCJ%20V14%20N1%20pp1-14%202019
Link to the dataset/repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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"the CI error was just a connection error due to all the activity on the repo this week ^^'\r\nI re-ran it so it should be good now",
"I hadn't realized the problem with the dummies since it had passed without errors.\r\nSuggestion: maybe we can show the user a warning based on the generated dummy size.",
"Thanks for changing to configs ! Looks all good now :) \r\n\r\nBefore we merge, can you re-lighten the dummy data please if you don't mind ? The idea is to have them weigh only a few KB (currently it's 50KB each). Feel free to remove any unnecessary files or chunk of text",
"(also you can ignore the `RemoteDatasetTest ` CI errors, they're fixed on master )",
"merging since the CI is fixed on master"
] | 2020-12-05T23:51:57Z | 2020-12-16T16:12:58Z | 2020-12-16T16:12:58Z | CONTRIBUTOR | null | null | false | {
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} | # Adversarial SQuAD
Adding the Adversarial [SQuAD](https://github.com/robinjia/adversarial-squad) dataset as part of the sprint 🎉
This dataset adds adversarial sentences to a subset of the SQuAD dataset's dev examples. How to get the original squad example id is explained in readme->Data Instances. The whole data is intended for use in evaluation. (Which could of course be also used for training if one wants). So there is no classical train/val/test split, but a split based on the number of adversaries added.
There are 2 splits of this dataset:
- AddSent: Has up to five candidate adversarial sentences that don't answer the question, but have a lot of words in common with the question. This adversary is does not query the model in any way.
- AddOneSent: Similar to AddSent, but just one candidate sentences was picked at random. This adversary is does not query the model in any way.
(The AddAny and AddCommon datasets mentioned in the paper are dynamically generated based on model's output distribution thus are not included here)
The failing test look like some unrelated timeout thing, will probably clear if rerun.
- [x] All tests passed
- [x] Added dummy data
- [x] Added data card (as much as I could) | {
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"Could you update the languages tags before we merge @VasudevGupta7 ?",
"done.",
"thanks !"
] | 2020-12-05T23:44:33Z | 2020-12-09T09:38:50Z | 2020-12-09T09:38:50Z | CONTRIBUTOR | null | null | false | {
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} | This PR will add Mann Ki Baat dataset (parallel data for Indian languages). | {
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"merging since the CI is fixed on master",
"Wow, thanks for including this dataset from my side as well!"
] | 2020-12-05T23:31:56Z | 2020-12-28T13:23:14Z | 2020-12-07T14:23:27Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds the COVID-QA dataset, a question answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19
Link to the paper: https://openreview.net/forum?id=JENSKEEzsoU
Link to the dataset/repo: https://github.com/deepset-ai/COVID-QA | {
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"Hi @abdulelahsm did you manage to fix your issue ?\r\nFeel free to ping me if you have questions or if you're ready for a review",
"@lhoestq fixed it! ready to merge. I hope haha",
"merging since the CI is fixed on master"
] | 2020-12-05T22:08:46Z | 2020-12-21T09:53:51Z | 2020-12-21T09:53:51Z | CONTRIBUTOR | null | null | false | {
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} | Dataset for Emotions detection in Arabic text
more info: https://github.com/AmrMehasseb/Emotional-Tone | {
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"looks like this PR also includes the changes for the V1\r\nCould you only include the files of the V2 ?",
"hmm I have made the dummy data lighter retested on local and it passed not sure why it fails here?",
"merging since the CI is fixed on master"
] | 2020-12-05T21:33:34Z | 2020-12-16T16:10:30Z | 2020-12-16T16:10:30Z | CONTRIBUTOR | null | null | false | {
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} | # The Korean Question Answering Dataset v2
Adding the [KorQuAD](https://korquad.github.io/) v2 dataset as part of the sprint 🎉
This dataset is very similar to SQuAD and is an extension of [squad_kor_v1](https://github.com/huggingface/datasets/pull/1178) which is why I added it as `squad_kor_v2`.
- Crowd generated questions and answer (1-answer per question) for Wikipedia articles. Differently from V1 it includes the html structure and markup, which makes it a different enough dataset. (doesn't share ids between v1 and v2 either)
- [x] All tests passed
- [x] Added dummy data
- [x] Added data card (as much as I could)
Edit: 🤦 looks like squad_kor_v1 commit sneaked in here too | {
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} | # The Korean Question Answering Dataset
Adding the [KorQuAD](https://korquad.github.io/KorQuad%201.0/) v1 dataset as part of the sprint 🎉
This dataset is very similar to SQuAD which is why I added it as `squad_kor_v1`. There is also a v2 which I added [here](https://github.com/huggingface/datasets/pull/1180).
- Crowd generated questions and answer (1-answer per question) for Wikipedia articles.
- [x] All tests passed
- [x] Added dummy data
- [x] Added data card (as much as I could)
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"Closed via #1219 "
] | 2020-12-05T20:56:00Z | 2020-12-06T20:19:48Z | 2020-12-06T20:19:48Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds the [Korean named entity recognition dataset](https://github.com/kmounlp/NER). This dataset has been used in many downstream tasks, such as training [KoBERT](https://github.com/SKTBrain/KoBERT) for NER, as seen in this [KoBERT-CRF implementation](https://github.com/eagle705/pytorch-bert-crf-ner). | {
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"Hi @Bharat123rox ! It looks like some of the dummy data is broken or missing. Did you auto-generate it? Does the local test pass for you?",
"@yjernite requesting you to have a look as to why the tests are failing only on Windows, there seems to be a backslash error somewhere, could it be the result of `os.path.join` and what should be the fix for this?",
"This is the `black` output locally:\r\n```\r\n(datasets_env) datasets (openpi) > black --check --line-length 119 --target-version py36 datasets/openpi/\r\nAll done! ✨ 🍰 ✨\r\n1 file would be left unchanged.\r\n```",
"Can you check your version of black (should be `20.8b1`) and run `make style again`? (And don't forget to rebase before pushing ;) )\r\n\r\nThe other test was a time-out error so should be good on the next commit",
"Thanks @yjernite the CI tests finally passed!!",
"Hi @Bharat123rox did you manage to join the different config into one using the IDs ?\r\n\r\nFeel free to ping me when you're ready for the next review :) ",
"> Hi @Bharat123rox did you manage to join the different config into one using the IDs ?\n> \n> Feel free to ping me when you're ready for the next review :) \n\nNot yet @lhoestq still working on this! Meanwhile please review #1507 where I added the SelQA dataset :)",
"Ok ! Let me review SelQA then :) \r\nThanks for your help !",
"Apologies for the very late response. Here is the openpi dataset file with a single file per partition after merging `id_answers, answers.jsonl, question.jsonl , question_metadata.jsonl`\r\n\r\nhttps://github.com/allenai/openpi-dataset/blob/main/data/gold-v1.1/dev.jsonl",
"Nice thank you @nikett !",
"Hi @Bharat123rox , when you get a chance, please feel free to use the dataset from the repo ( [Link](https://github.com/allenai/openpi-dataset/blob/main/data/gold-v1.1/dev.jsonl) ) . Please let me know if any file is missing! Thank you ",
"Hi @Bharat123rox are you working on this? ",
"@nikett Sorry I'm no longer working on this as I'm out of time for it, please feel free to raise a new PR for this\r\n\r\n",
"We are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest to create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-05T20:54:06Z | 2022-10-03T09:39:54Z | 2022-10-03T09:39:54Z | CONTRIBUTOR | null | null | false | {
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"merging since the CI is fixed on master"
] | 2020-12-05T20:04:18Z | 2020-12-07T13:21:43Z | 2020-12-07T13:21:43Z | CONTRIBUTOR | null | null | false | {
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Dataset link: https://redialdata.github.io/website/datasheet | {
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"Sorry for the delay, changed the default language to \"ady\" (first alphabetical) and only downloading the relevant files for each config (dataset_infos is till 918KB though)",
"Thanks for merging it ! Looks all good\r\n\r\nLooks like I didn't reply to your last message, sorry about that.\r\nFeel free to ping me when this happens :) "
] | 2020-12-05T19:54:43Z | 2021-01-26T16:50:16Z | 2021-01-26T16:41:48Z | MEMBER | null | null | false | {
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} | Adding unimorph universal morphology annotations for 110 languages, pfew!!!
one lemma per row with all possible forms and annotations
https://unimorph.github.io/ | {
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"Does anyone know why am I getting this \"Some checks were not successful\" message? For the _code_quality_ one, I have successfully run the flake8 command.",
"Ok, I need to update the README.md, but don't know if that will fix the errors",
"Hi @ACR0S , thanks for adding the dataset!\r\n\r\nIt looks like `black` is throwing the code quality error: you need to run `make style` with the latest version of `black` (`black --version` should return 20.8b1)\r\n\r\nWe also added a requirement to specify encodings when using the python `open` function (line 163 in the current version of your script)\r\n\r\nFinally, you will need to add the tags and field descriptions to the README as described here https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card\r\n\r\nLet us know if you have any further questions!",
"Also, please leave the full template of the readme with the `[More Information Needed]` paragraphs: you don't have to fill them out now but it will make it easier for us to go back to later :) ",
"Thank you for your help, @yjernite! I have updated everything (finally run the _make style_, added the tags, the ecoding to the _open_ function and put back the empty fields in the README). Hope it works now! :)",
"LGTM!",
"merging since the CI is fixed on master"
] | 2020-12-05T19:14:50Z | 2020-12-07T11:13:14Z | 2020-12-07T11:13:14Z | CONTRIBUTOR | null | null | false | {
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} | My first PR containing the Wikipedia biographies dataset. I have followed all the steps in the [guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md). It passes all the tests. | {
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"merging since the CI is fixed on master"
] | 2020-12-05T18:55:04Z | 2020-12-07T11:12:24Z | 2020-12-07T11:12:24Z | CONTRIBUTOR | null | null | false | {
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"merging since the CI is fixed on master"
] | 2020-12-05T18:46:05Z | 2020-12-07T11:11:17Z | 2020-12-07T11:11:17Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq here's the fix!"
] | 2020-12-05T18:31:54Z | 2020-12-07T10:47:23Z | 2020-12-07T10:47:23Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1169 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1169/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1169/comments | https://api.github.com/repos/huggingface/datasets/issues/1169/events | https://github.com/huggingface/datasets/pull/1169 | 757,747,997 | MDExOlB1bGxSZXF1ZXN0NTMzMDY5MzAx | 1,169 | Add Opus fiskmo dataset for Finnish and Swedish for MT task | {
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"merging since the CI is fixed on master"
] | 2020-12-05T17:56:55Z | 2020-12-07T11:04:11Z | 2020-12-07T11:04:11Z | CONTRIBUTOR | null | null | false | {
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} | Adding fiskmo, a massive parallel corpus for Finnish and Swedish.
for more info : http://opus.nlpl.eu/fiskmo.php | {
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https://api.github.com/repos/huggingface/datasets/issues/1168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1168/comments | https://api.github.com/repos/huggingface/datasets/issues/1168/events | https://github.com/huggingface/datasets/pull/1168 | 757,740,780 | MDExOlB1bGxSZXF1ZXN0NTMzMDYzNjgy | 1,168 | Add Naver sentiment movie corpus | {
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"Closed via #1252 "
] | 2020-12-05T17:25:23Z | 2020-12-07T13:34:09Z | 2020-12-07T13:34:09Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds the [Naver sentiment movie corpus](https://github.com/e9t/nsmc), a dataset containing Korean movie reviews from Naver, the most commonly used search engine in Korea. This dataset is often used to benchmark models on Korean NLP tasks, as seen in [this paper](https://www.aclweb.org/anthology/2020.lrec-1.199.pdf). | {
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https://api.github.com/repos/huggingface/datasets/issues/1167 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1167/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1167/comments | https://api.github.com/repos/huggingface/datasets/issues/1167/events | https://github.com/huggingface/datasets/issues/1167 | 757,722,921 | MDU6SXNzdWU3NTc3MjI5MjE= | 1,167 | ❓ On-the-fly tokenization with datasets, tokenizers, and torch Datasets and Dataloaders | {
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"We're working on adding on-the-fly transforms in datasets.\r\nCurrently the only on-the-fly functions that can be applied are in `set_format` in which we transform the data in either numpy/torch/tf tensors or pandas.\r\nFor example\r\n```python\r\ndataset.set_format(\"torch\")\r\n```\r\napplies `torch.Tensor` to the dataset entries on-the-fly.\r\n\r\nWe plan to extend this to user-defined formatting transforms.\r\nFor example\r\n```python\r\ndataset.set_format(transform=tokenize)\r\n```\r\n\r\nWhat do you think ?",
"You can now use `set_transform` to define custom formatting transforms. "
] | 2020-12-05T17:02:56Z | 2023-07-20T15:49:42Z | 2023-07-20T15:49:42Z | NONE | null | null | null | null | Hi there,
I have a question regarding "on-the-fly" tokenization. This question was elicited by reading the "How to train a new language model from scratch using Transformers and Tokenizers" [here](https://huggingface.co/blog/how-to-train). Towards the end there is this sentence: "If your dataset is very large, you can opt to load and tokenize examples on the fly, rather than as a preprocessing step". I've tried coming up with a solution that would combine both `datasets` and `tokenizers`, but did not manage to find a good pattern.
I guess the solution would entail wrapping a dataset into a Pytorch dataset.
As a concrete example from the [docs](https://huggingface.co/transformers/custom_datasets.html)
```python
import torch
class SquadDataset(torch.utils.data.Dataset):
def __init__(self, encodings):
# instead of doing this beforehand, I'd like to do tokenization on the fly
self.encodings = encodings
def __getitem__(self, idx):
return {key: torch.tensor(val[idx]) for key, val in self.encodings.items()}
def __len__(self):
return len(self.encodings.input_ids)
train_dataset = SquadDataset(train_encodings)
```
How would one implement this with "on-the-fly" tokenization exploiting the vectorized capabilities of tokenizers?
----
Edit: I have come up with this solution. It does what I want, but I feel it's not very elegant
```python
class CustomPytorchDataset(Dataset):
def __init__(self):
self.dataset = some_hf_dataset(...)
self.tokenizer = BertTokenizerFast.from_pretrained("bert-base-uncased")
def __getitem__(self, batch_idx):
instance = self.dataset[text_col][batch_idx]
tokenized_text = self.tokenizer(instance, truncation=True, padding=True)
return tokenized_text
def __len__(self):
return len(self.dataset)
@staticmethod
def collate_fn(batch):
# batch is a list, however it will always contain 1 item because we should not use the
# batch_size argument as batch_size is controlled by the sampler
return {k: torch.tensor(v) for k, v in batch[0].items()}
torch_ds = CustomPytorchDataset()
# NOTE: batch_sampler returns list of integers and since here we have SequentialSampler
# it returns: [1, 2, 3], [4, 5, 6], etc. - check calling `list(batch_sampler)`
batch_sampler = BatchSampler(SequentialSampler(torch_ds), batch_size=3, drop_last=True)
# NOTE: no `batch_size` as now the it is controlled by the sampler!
dl = DataLoader(dataset=torch_ds, sampler=batch_sampler, collate_fn=torch_ds.collate_fn)
``` | {
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