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"merging since the CI is fixed on master"
] | 2020-12-09T22:59:17Z | 2020-12-11T17:39:23Z | 2020-12-11T17:39:23Z | CONTRIBUTOR | null | null | 0 | {
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"good dataset card as well :) ",
"@lhoestq Thank you :) "
] | 2020-12-09T22:57:41Z | 2020-12-11T13:37:08Z | 2020-12-11T13:37:08Z | CONTRIBUTOR | null | null | 0 | {
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"Hi @Phil1108 !\r\nHave you had a chance to take a look at my suggestions ?\r\nFeel free to ping me if you have questions or if you're ready for a review\r\n\r\nThanks again for adding this dataset, this one is very useful !",
"> \r\n> \r\n> Hi @Phil1108 !\r\n> Have you had a chance to take a look at my suggestio... | 2020-12-09T22:54:12Z | 2022-10-03T09:39:02Z | 2022-10-03T09:39:02Z | NONE | null | null | 0 | {
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"Feel free to ping me once you're ready for another review :) ",
"For sure! Gonna work on this now!",
"I incorporated all the changes but when I go to rebase I get the following error:\r\n```python\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master\r\nerror: cannot rebase: You have uns... | 2020-12-09T22:14:12Z | 2020-12-17T18:27:14Z | 2020-12-17T18:27:14Z | CONTRIBUTOR | null | null | 0 | {
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} | 2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made. | {
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https://api.github.com/repos/huggingface/datasets/issues/1422 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1422/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1422/comments | https://api.github.com/repos/huggingface/datasets/issues/1422/events | https://github.com/huggingface/datasets/issues/1422 | 760,707,113 | MDU6SXNzdWU3NjA3MDcxMTM= | 1,422 | Can't map dataset (loaded from csv) | {
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"Please could you post the whole script? I can't reproduce your issue. After updating the feature names/labels to match with the data, everything works fine for me. Try to update datasets/transformers to the newest version.",
"Actually, the problem was how `tokenize` function was defined. This was completely my s... | 2020-12-09T22:05:42Z | 2020-12-17T18:13:40Z | 2020-12-17T18:13:40Z | NONE | null | null | null | null | Hello! I am trying to load single csv file with two columns: ('label': str, 'text' str), where is label is str of two possible classes.
Below steps are similar with [this notebook](https://colab.research.google.com/drive/1-JIJlao4dI-Ilww_NnTc0rxtp-ymgDgM?usp=sharing), where bert model and tokenizer are used to classify lmdb loaded dataset. Only one difference it is the dataset loaded from .csv file.
Here is how I load it:
```python
data_path = 'data.csv'
data = pd.read_csv(data_path)
# process class name to indices
classes = ['neg', 'pos']
class_to_idx = { cl: i for i, cl in enumerate(classes) }
# now data is like {'label': int, 'text' str}
data['label'] = data['label'].apply(lambda x: class_to_idx[x])
# load dataset and map it with defined `tokenize` function
features = Features({
target: ClassLabel(num_classes=2, names=['neg', 'pos'], names_file=None, id=None),
feature: Value(dtype='string', id=None),
})
dataset = Dataset.from_pandas(data, features=features)
dataset.map(tokenize, batched=True, batch_size=len(dataset))
```
It ruins on the last line with following error:
```
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-112-32b6275ce418> in <module>()
9 })
10 dataset = Dataset.from_pandas(data, features=features)
---> 11 dataset.map(tokenizer, batched=True, batch_size=len(dataset))
2 frames
/usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py in map(self, function, with_indices, input_columns, batched, batch_size, drop_last_batch, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, features, disable_nullable, fn_kwargs, num_proc, suffix_template, new_fingerprint)
1237 test_inputs = self[:2] if batched else self[0]
1238 test_indices = [0, 1] if batched else 0
-> 1239 update_data = does_function_return_dict(test_inputs, test_indices)
1240 logger.info("Testing finished, running the mapping function on the dataset")
1241
/usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py in does_function_return_dict(inputs, indices)
1208 fn_args = [inputs] if input_columns is None else [inputs[col] for col in input_columns]
1209 processed_inputs = (
-> 1210 function(*fn_args, indices, **fn_kwargs) if with_indices else function(*fn_args, **fn_kwargs)
1211 )
1212 does_return_dict = isinstance(processed_inputs, Mapping)
/usr/local/lib/python3.6/dist-packages/transformers/tokenization_utils_base.py in __call__(self, text, text_pair, add_special_tokens, padding, truncation, max_length, stride, is_split_into_words, pad_to_multiple_of, return_tensors, return_token_type_ids, return_attention_mask, return_overflowing_tokens, return_special_tokens_mask, return_offsets_mapping, return_length, verbose, **kwargs)
2281 )
2282 ), (
-> 2283 "text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) "
2284 "or `List[List[str]]` (batch of pretokenized examples)."
2285 )
AssertionError: text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples).
```
which I think is not expected. I also tried the same steps using `Dataset.from_csv` which resulted in the same error.
For reproducing this, I used [this dataset from kaggle](https://www.kaggle.com/team-ai/spam-text-message-classification) | {
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"merging since the CI is fixed on master"
] | 2020-12-09T21:54:29Z | 2020-12-11T13:34:04Z | 2020-12-11T13:34:04Z | CONTRIBUTOR | null | null | 0 | {
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"@lhoestq, can you please review this PR?\r\n",
"@SBrandeis,\r\nSorry. All of the latest version came to my branch. You can find final version. \r\nResubmitted as a clean final version of #1466\r\nI have completed all the review comments.",
"Closing this as PR is now https://github.com/huggingface/datasets/pull... | 2020-12-09T21:08:33Z | 2020-12-11T14:02:31Z | 2020-12-11T14:02:31Z | CONTRIBUTOR | null | null | 0 | {
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} | This PR adds the Turkish News Categories Dataset (270K) dataset which is a text classification dataset by me and @yavuzKomecoglu. Turkish news dataset consisting of **273601 news** in **17 categories**, compiled from printed media and news websites between 2010 and 2017 by the [Interpress](https://www.interpress.com/) media monitoring company.
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"merging since the CI is fixed on master"
] | 2020-12-09T21:06:07Z | 2020-12-17T09:40:56Z | 2020-12-17T09:40:56Z | CONTRIBUTOR | null | null | 0 | {
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Fixed git issues from PR #976 | {
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"@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly.",
"@lhoestq done!",
"merging since the CI is fixed on master"
] | 2020-12-09T20:22:12Z | 2020-12-14T18:06:44Z | 2020-12-14T16:25:31Z | CONTRIBUTOR | null | null | 0 | {
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} | Add [Hate Speech and Offensive Language Detection dataset](https://github.com/t-davidson/hate-speech-and-offensive-language) from [this paper](https://arxiv.org/abs/1703.04009). | {
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"Hello @hugoabonizio, thanks for the contribution.\r\nRegarding the fake data, you can generate it manually.\r\nRunning the `python datasets-cli dummy_data datasets/offcombr` should give you instructions on how to manually create the dummy data.\r\nFor reference, here is a spec for `.arff` files : https://www.cs.wa... | 2020-12-09T19:38:08Z | 2020-12-14T18:06:45Z | 2020-12-14T16:51:10Z | CONTRIBUTOR | null | null | 0 | {
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} | Add [OffComBR](https://github.com/rogersdepelle/OffComBR) from [Offensive Comments in the Brazilian Web: a dataset and baseline results](https://sol.sbc.org.br/index.php/brasnam/article/view/3260/3222) paper.
But I'm having a hard time generating dummy data since the original dataset extion is `.arff` and the [_create_dummy_data function](https://github.com/huggingface/datasets/blob/a4aeaf911240057286a01bff1b1d75a89aedd57b/src/datasets/commands/dummy_data.py#L185) doesn't allow it. | {
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"@yjernite I have updated the PR to be language modeling task specific. Please review!\r\n",
"Yes a line corresponds to a sentence in this data."
] | 2020-12-09T19:11:33Z | 2020-12-16T09:38:23Z | 2020-12-16T09:38:23Z | CONTRIBUTOR | null | null | 0 | {
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"I wrongly commited data from another branch in this PR, I'll close this a reopen another PR with the fixed branch"
] | 2020-12-09T19:07:00Z | 2020-12-09T19:18:12Z | 2020-12-09T19:15:52Z | CONTRIBUTOR | null | null | 0 | {
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"also don't forget to format your code using `make style` to fix the CI"
] | 2020-12-09T19:02:07Z | 2020-12-13T00:49:19Z | 2020-12-13T00:49:19Z | CONTRIBUTOR | null | null | 0 | {
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"Hi @lhoestq,\r\n\r\nSeeing that it has been almost two months to this draft, I'm willing to take this forward if you and @abhishekkrthakur don't mind. :)",
"Hi @gchhablani !\r\nSure if @abhishekkrthakur doesn't mind\r\nThanks for your help :)",
"Please feel free :) ",
"Hi @lhoestq, @abhishekkrthakur \r\n\r\n... | 2020-12-09T18:48:57Z | 2023-09-24T09:52:03Z | 2021-02-26T08:54:04Z | CONTRIBUTOR | null | null | 1 | {
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https://api.github.com/repos/huggingface/datasets/issues/1406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1406/comments | https://api.github.com/repos/huggingface/datasets/issues/1406/events | https://github.com/huggingface/datasets/pull/1406 | 760,581,330 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg5NDk5 | 1,406 | Add Portuguese Hate Speech dataset | {
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"@lhoestq done! (The failing tests don't seem to be related)",
"merging since the CI is fixed on master"
] | 2020-12-09T18:48:16Z | 2020-12-14T18:06:42Z | 2020-12-14T16:22:20Z | CONTRIBUTOR | null | null | 0 | {
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"We want to keep the repo as light as possible so that it doesn't take ages to clone, that's why we ask for small dummy data files (especially when there are many of them). Let me know if you have questions or if we can help you on this",
"Hello @lhoestq , made the changes as you suggested and pushed, please revi... | 2020-12-09T18:42:58Z | 2020-12-13T19:11:18Z | 2020-12-13T19:11:18Z | CONTRIBUTOR | null | null | 0 | {
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"fixed @lhoestq "
] | 2020-12-09T18:38:54Z | 2020-12-14T13:12:01Z | 2020-12-14T13:12:00Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1403/comments | https://api.github.com/repos/huggingface/datasets/issues/1403/events | https://github.com/huggingface/datasets/pull/1403 | 760,571,419 | MDExOlB1bGxSZXF1ZXN0NTM1MzgxMzQ3 | 1,403 | Add dataset clickbait_news_bg | {
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"Closing this pull request, will submit a new one for this dataset."
] | 2020-12-09T18:32:12Z | 2020-12-10T09:16:44Z | 2020-12-10T09:16:43Z | CONTRIBUTOR | null | null | 0 | {
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"README.md is not created yet. I'll add it soon.",
"Thank you for your detailed code review! It's so helpful.\r\nI'll reflect them to the code in 24 hours.\r\n\r\nYou may have told me in Slack (I cannot find the conversation log though I've looked through threads), but I'm sorry it seems I'm still misunderstandin... | 2020-12-09T17:46:46Z | 2020-12-13T17:54:14Z | 2020-12-13T17:47:36Z | CONTRIBUTOR | null | null | 0 | {
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} | I had mistaken use git rebase, I was so hurried to fix it. However, I didn't fully consider the use of git reset , so I unintendedly stopped PR (#1367) altogether. Sorry about that.
I'll make a new PR. | {
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"Hi @saradhix have you had the chance to reduce the size of the dummy data ?\r\n\r\nFeel free to ping me when it's done so we can merge :) ",
"@lhoestq I have reduced the size of the dummy data manually and pushed the changes.",
"The CI errors are not related to your dataset.\r\nThey're fixed on master, you can... | 2020-12-09T17:30:49Z | 2020-12-17T16:50:43Z | 2020-12-17T16:50:42Z | CONTRIBUTOR | null | null | 0 | {
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"@lhoestq all comments addressed :) ",
"merging since the CI is fixed on master"
] | 2020-12-09T16:55:39Z | 2020-12-14T10:57:23Z | 2020-12-14T10:57:22Z | CONTRIBUTOR | null | null | 0 | {
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https://arxiv.org/abs/2011.03088 | {
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"@lhoestq Refactored into new branch, please review :) ",
"The `RemoteDatasetTest ` errors in the CI are fixed on master so it's fine",
"merging since the CI is fixed on master"
] | 2020-12-09T16:52:16Z | 2020-12-09T18:02:27Z | 2020-12-09T18:02:27Z | CONTRIBUTOR | null | null | 0 | {
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"Subsequent [PR #1426 ](https://github.com/huggingface/datasets/pull/1426) since this PR has uploaded other files along with the MultiReQA dataset.",
"closing this one since a new PR has been created"
] | 2020-12-09T16:00:35Z | 2020-12-10T18:20:12Z | 2020-12-10T18:20:11Z | CONTRIBUTOR | null | null | 0 | {
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"@lhoestq fixed :) "
] | 2020-12-09T15:52:06Z | 2020-12-14T10:24:14Z | 2020-12-14T10:24:13Z | CONTRIBUTOR | null | null | 0 | {
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] | 2020-12-09T15:37:45Z | 2020-12-14T10:23:30Z | 2020-12-14T10:23:29Z | CONTRIBUTOR | null | null | 0 | {
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} | Adds a helpful prompt to the error message when a dataset/metric is not found, suggesting the user might need to pass `script_version="master"` if the dataset was added recently. The whole error looks like:
> Couldn't find file locally at blah/blah.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1/metrics/blah/blah.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/met
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If the dataset was added recently, you may need to to pass script_version="master" to find the loading script on the master branch. | {
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"@lhoestq fixed :) "
] | 2020-12-09T15:32:58Z | 2020-12-14T10:22:33Z | 2020-12-14T10:22:32Z | CONTRIBUTOR | null | null | 0 | {
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"`amazon_polarity` is probably a subset of `amazon_us_reviews` but I am not entirely sure about that.\r\nI guess `amazon_polarity` will help in reproducing results of papers using this dataset since even if it is a subset from `amazon_us_reviews`, it is not trivial how to extract `amazon_polarity` from `amazon_us_r... | 2020-12-09T14:58:21Z | 2020-12-11T11:45:39Z | 2020-12-11T11:41:01Z | CONTRIBUTOR | null | null | 0 | {
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} | This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353 | {
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https://api.github.com/repos/huggingface/datasets/issues/1387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1387/comments | https://api.github.com/repos/huggingface/datasets/issues/1387/events | https://github.com/huggingface/datasets/pull/1387 | 760,368,355 | MDExOlB1bGxSZXF1ZXN0NTM1MjExODQ1 | 1,387 | Add LIAR dataset | {
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"@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly.",
"merging since the CI is fixed on master"
] | 2020-12-09T14:16:55Z | 2020-12-14T18:06:43Z | 2020-12-14T16:23:59Z | CONTRIBUTOR | null | null | 0 | {
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} | Add LIAR dataset from [“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection](https://www.aclweb.org/anthology/P17-2067/). | {
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"@lhoestq yes. I asked the authors for direct link but unfortunately we need to fill a form (captcha)"
] | 2020-12-09T14:13:19Z | 2020-12-10T16:58:22Z | 2020-12-10T16:58:21Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1385/comments | https://api.github.com/repos/huggingface/datasets/issues/1385/events | https://github.com/huggingface/datasets/pull/1385 | 760,351,405 | MDExOlB1bGxSZXF1ZXN0NTM1MTk3Nzk5 | 1,385 | add best2009 | {
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} | `best2009` is a Thai word-tokenization dataset from encyclopedia, novels, news and articles by [NECTEC](https://www.nectec.or.th/) (148,995/2,252 lines of train/test). It was created for [BEST 2010: Word Tokenization Competition](https://thailang.nectec.or.th/archive/indexa290.html?q=node/10). The test set answers are not provided publicly. | {
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"@lhoestq Thank you for the suggestions. I added the changes to the branch and seems after rebasing it to master, all the commits previous commits got added. Should I create a new PR or should I keep this one only ? ",
"closing this one in favor of #1527 "
] | 2020-12-09T13:30:12Z | 2020-12-13T18:54:42Z | 2020-12-13T18:54:41Z | CONTRIBUTOR | null | null | 0 | {
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"merging since the CI just had a connection error"
] | 2020-12-09T13:21:41Z | 2020-12-09T17:53:06Z | 2020-12-09T17:53:06Z | CONTRIBUTOR | null | null | 0 | {
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http://opus.nlpl.eu/UNPC.php | {
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"looks like this PR includes changes about other datasets\r\n\r\nCan you only include the changes related to twi text c3 please ?",
"Hi @lhoestq , I have removed the unnecessary files. Can you please confirm?",
"You might need to either find a way to go back to the commit before it changes 389 files or create a... | 2020-12-09T13:16:38Z | 2020-12-13T18:39:27Z | 2020-12-13T18:39:27Z | CONTRIBUTOR | null | null | 0 | {
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"looks like this PR includes changes about other datasets\r\n",
"Thanks for the review. I'm a bit confused how to remove the files. Every time I add a new branch name using the following commands:\r\n\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit checkout -b a-descriptive-name-for-my-changes\r\n\r\na... | 2020-12-09T13:16:03Z | 2020-12-13T18:45:12Z | 2020-12-13T18:37:33Z | CONTRIBUTOR | null | null | 0 | {
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"@lhoestq done!",
"merging since the CI is fixed on master"
] | 2020-12-09T13:06:22Z | 2020-12-17T12:38:45Z | 2020-12-15T15:34:11Z | CONTRIBUTOR | null | null | 0 | {
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} | This PR adds [FACTCK.BR](https://github.com/jghm-f/FACTCK.BR) dataset from [FACTCK.BR: a new dataset to study fake news](https://dl.acm.org/doi/10.1145/3323503.3361698). | {
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"Can you make it a draft PR until you've added the dataset please ? @ekdnam ",
"Done",
"Thanks for your contribution, @ekdnam. 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/dataset... | 2020-12-09T13:01:20Z | 2022-10-03T09:39:09Z | 2022-10-03T09:39:09Z | NONE | null | null | 1 | {
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"@lhoestq done"
] | 2020-12-09T12:08:49Z | 2020-12-14T09:56:28Z | 2020-12-14T09:56:27Z | CONTRIBUTOR | null | null | 0 | {
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} | Adding Scielo: Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO
https://sites.google.com/view/felipe-soares/datasets#h.p_92uSCyAjWSRB | {
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"I have a question: why not using a tmp dir instead, like the DummyDataGeneratorDownloadManager does?",
"Hi @lhoestq, I am trying to understand better the logic...\r\n\r\nWhy do we have a `dynamic_module_path` besides the modules cache path?\r\n```python\r\nDYNAMIC_MODULES_PATH = os.path.join(HF_MODULES_CACHE, \"... | 2020-12-09T10:59:59Z | 2022-07-06T15:19:47Z | null | MEMBER | null | null | 0 | {
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} | When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`. | null | {
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"@lhoestq I think I've fixed the dummy data - it finally passes! I'll add the model card now.",
"@lhoestq - pretty happy with it now",
"> Awesome thank you !\r\n> \r\n> Could you try to reduce the size of the dummy_data.zip file before we merge ? (it's 300KB right now)\r\n> \r\n> To do so feel free to take a lo... | 2020-12-09T10:53:09Z | 2020-12-11T13:30:59Z | 2020-12-11T13:30:59Z | CONTRIBUTOR | null | null | 1 | {
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"I think it's because the file you download uncompresses into a file and not a folder so `--autogenerate` couldn't create dummy data for you. See in your dummy_data.zip if there is a file there. If not, manually create your dummy data and compress them to dummy_data.zip.",
"@cstorm125 Thank you for the comment! \... | 2020-12-09T10:34:01Z | 2020-12-09T17:25:14Z | 2020-12-09T17:25:14Z | CONTRIBUTOR | null | null | 0 | {
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} | Adding COVID-19 Japanese Tweets Dataset as part of the sprint.
Testing with dummy data is not working (the file is said to not exist). Sorry for the incomplete PR. | {
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"@lhoestq Have addressed your comments. Please review. Thanks."
] | 2020-12-09T10:30:23Z | 2020-12-14T14:27:57Z | 2020-12-14T14:27:57Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1365/comments | https://api.github.com/repos/huggingface/datasets/issues/1365/events | https://github.com/huggingface/datasets/pull/1365 | 760,188,457 | MDExOlB1bGxSZXF1ZXN0NTM1MDYxNTI2 | 1,365 | Add Mkqa dataset | {
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"the `RemoteDatasetTest ` error pf the CI is fixed on master so it's fine",
"merging since the CI is fixed on master"
] | 2020-12-09T10:06:33Z | 2020-12-10T15:37:56Z | 2020-12-10T15:37:56Z | CONTRIBUTOR | null | null | 0 | {
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} | # MKQA: Multilingual Knowledge Questions & Answers Dataset
Adding the [MKQA](https://github.com/apple/ml-mkqa) dataset as part of the sprint 🎉
There is no official data splits so I added just a `train` split.
differently from the original:
- answer:type field is a ClassLabel (I thought it might be possible to train on this as a label for categorizing questions)
- answer:entity field has a default value of empty string '' (since this key is not available for all in original)
- answer:alias has default value of []
- [x] All tests passed
- [x] Added dummy data
- [x] Added data card (as much as I could)
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"Hi ! Maybe we can rename it `narrativeqa_manual` to make it explicit that this one requires manual download contrary to `narrativeqa` ?\r\nIt's important to have this one as well, in case the `narrativeqa` one suffers from download issues (checksums or dead links for example).\r\n\r\nYou can also copy the dataset ... | 2020-12-09T09:33:59Z | 2021-01-25T15:31:51Z | 2021-01-25T15:31:31Z | CONTRIBUTOR | null | null | 0 | {
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} | Narrative QA with manual download for stories. | {
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} | Adding UnMulti
http://www.euromatrixplus.net/multi-un/ | {
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"Thanks Quentin !"
] | 2020-12-09T08:57:10Z | 2020-12-09T18:16:20Z | 2020-12-09T18:13:48Z | CONTRIBUTOR | null | null | 0 | {
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"@lhoestq I think this is ready for review, I assume the errors (connection) are unrelated to the PR :) ",
"merging since the CI is fixed on master"
] | 2020-12-09T08:02:45Z | 2020-12-16T17:04:44Z | 2020-12-16T17:04:44Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1360/comments | https://api.github.com/repos/huggingface/datasets/issues/1360/events | https://github.com/huggingface/datasets/pull/1360 | 760,088,419 | MDExOlB1bGxSZXF1ZXN0NTM0OTc4NzM0 | 1,360 | add wisesight1000 | {
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} | `wisesight1000` contains Thai social media texts randomly drawn from the full `wisesight-sentiment`, tokenized by human annotators. Out of the labels `neg` (negative), `neu` (neutral), `pos` (positive), `q` (question), 250 samples each. Some texts are removed because they look like spam.Because these samples are representative of real world content, we believe having these annotaed samples will allow the community to robustly evaluate tokenization algorithms. | {
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} | This PR adds the Spider dataset, a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students. The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.
Dataset website: https://yale-lily.github.io/spider
Paper link: https://www.aclweb.org/anthology/D18-1425/ | {
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"Sorry about forgetting flake8.\r\nRather than use up the circleci resources on a new push with only formatting changes, I will wait to push until the results from all tests finish and/or any feedback comes in... probably tomorrow for me.",
"\r\nSo... my normal work is with mercurial and seem to have clearly fork... | 2020-12-09T05:52:34Z | 2020-12-15T18:12:56Z | 2020-12-15T18:12:56Z | CONTRIBUTOR | null | null | 0 | {
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} | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | {
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"@lhoestq Thanks for the review and suggestions! I've added your comments and pushed the changes. I'm having issues with the dummy data still. When I run the dummy data test\r\n\r\n```bash\r\nRUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_so_stacksample\r\n```\r\nI g... | 2020-12-09T04:59:51Z | 2020-12-21T14:48:21Z | 2020-12-21T14:48:21Z | NONE | null | null | 0 | {
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} | This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed). | {
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} | This PR adds the TweetQA dataset, the first dataset for QA on social media data by leveraging news media and crowdsourcing.
Paper: https://arxiv.org/abs/1907.06292
Repository: https://tweetqa.github.io/ | {
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} | Add additional instructions for how to generate dataset_infos.json for manual download datasets. Information courtesy of `Taimur Ibrahim` from the slack channel | {
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} | `prachathai67k` is currently downloaded from git-lfs of PyThaiNLP github. Since the size is quite large (~250MB), I moved the URL to archive.org in order to prevent rate limit issues. | {
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} | `craigslist_bargains` data set from [here](https://worksheets.codalab.org/worksheets/0x453913e76b65495d8b9730d41c7e0a0c/)
(Cleaned up version of #1278) | {
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"I don't know what happened, my first commit passed on all checks, but after just a README.md update one of the scripts failed, is it normal? 😕 ",
"Looks like a flaky connection error, I've launched a re-run, it should be fine :)",
"The RemoteDatasetTest error in the CI is just a connection error, we can ignor... | 2020-12-09T00:06:38Z | 2020-12-10T14:11:33Z | 2020-12-10T14:11:33Z | CONTRIBUTOR | null | null | 0 | {
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"looks like this dataset includes changes about many other files than the ones for multi_re_qa\r\n\r\nCan you create another branch and another PR please ?",
"> looks like this dataset includes changes about many other files than the ones for multi_re_qa\r\n> \r\n> Can you create another branch and another PR ple... | 2020-12-08T23:44:34Z | 2020-12-09T16:46:37Z | 2020-12-09T16:46:37Z | CONTRIBUTOR | null | null | 0 | {
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"Thank you. Okay, other pull requests only have one dataset",
"The `RemoteDatasetTest` error in the CI is just a connection error, we can ignore it",
"merging since the CI is fixed on master",
"Thank you very much"
] | 2020-12-08T23:42:35Z | 2020-12-10T14:30:25Z | 2020-12-10T14:09:43Z | CONTRIBUTOR | null | null | 0 | {
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"There' still an issue with the dummy data, let me take a look"
] | 2020-12-08T22:49:36Z | 2020-12-15T17:02:09Z | 2020-12-15T17:02:09Z | MEMBER | null | null | 0 | {
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"I've added the changes / fixes - ready for a second pass :)"
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Ready for review! | {
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"> Nice thanks !\r\n> \r\n> Can you rename the dataset folder and the dataset script name `hate_speech18` instead of `hate_speech_18` to follow the snake case convention we're using ?\r\n> \r\n> Also it looks like the dummy_data.zip file is quite big (almost 4MB).\r\n> Can you try to reduce its size ?\r\n> \r\n> To... | 2020-12-08T20:10:08Z | 2020-12-12T16:17:32Z | 2020-12-12T16:17:32Z | CONTRIBUTOR | null | null | 0 | {
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"@lhoestq fixed"
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Contains loading script as well as dataset card including YAML tags. | {
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"merging since the Ci is fixed on master"
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"Looks like this PR includes changes about many other files than the ones for un_ga\r\n\r\nCan you create another branch an another PR please ?",
"@lhoestq, Thank you for suggestions. I have made the changes and raised the new PR https://github.com/huggingface/datasets/pull/1569. "
] | 2020-12-08T17:58:38Z | 2020-12-14T17:52:34Z | 2020-12-14T17:52:34Z | CONTRIBUTOR | null | null | 0 | {
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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 | {
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} | This PR adds the original NewsPH dataset which is used to autogenerate the NewsPH-NLI dataset. Reopened a new PR as the previous one had problems.
Paper: https://arxiv.org/abs/2010.11574
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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