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"linter your code with flake8 and also run the commands present in Makefile for proper formatting \r\n",
"merging since the CI is fixed on master"
] | 2020-12-10T09:51:08Z | 2020-12-11T17:07:46Z | 2020-12-11T17:07:46Z | CONTRIBUTOR | null | null | 0 | {
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} | - **Name:** W&I + LOCNESS dataset (from the BEA-2019 workshop shared task on GEC)
- **Description:** https://www.cl.cam.ac.uk/research/nl/bea2019st/#data
- **Paper:** https://www.aclweb.org/anthology/W19-4406/
- **Motivation:** This is a recent dataset (actually two in one) for grammatical error correction and is used for benchmarking in this field of NLP.
### Checkbox
- [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template
- [x] Fill the `_DESCRIPTION` and `_CITATION` variables
- [x] Implement `_infos()`, `_split_generators()` and `_generate_examples()`
- [x] Make sure that the `BUILDER_CONFIGS` class attribute is filled with the different configurations of the dataset and that the `BUILDER_CONFIG_CLASS` is specified if there is a custom config class.
- [x] Generate the metadata file `dataset_infos.json` for all configurations
- [x] Generate the dummy data `dummy_data.zip` files to have the dataset script tested and that they don't weigh too much (<50KB)
- [x] Add the dataset card `README.md` using the template : fill the tags and the various paragraphs
- [x] Both tests for the real data and the dummy data pass.
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} | Thai Toxicity Tweet Corpus contains 3,300 tweets (506 tweets with texts missing) annotated by humans with guidelines including a 44-word dictionary. The author obtained 2,027 and 1,273 toxic and non-toxic tweets, respectively; these were labeled by three annotators. The result of corpus analysis indicates that tweets that include toxic words are not always toxic. Further, it is more likely that a tweet is toxic, if it contains toxic words indicating their original meaning. Moreover, disagreements in annotation are primarily because of sarcasm, unclear existing target, and word sense ambiguity.
Notes from data cleaner: The data is included into [huggingface/datasets](https://www.github.com/huggingface/datasets) in Dec 2020. By this time, 506 of the tweets are not available publicly anymore. We denote these by `TWEET_NOT_FOUND` in `tweet_text`.
Processing can be found at [this PR](https://github.com/tmu-nlp/ThaiToxicityTweetCorpus/pull/1). | {
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"Hi @thomwolf, for simplification purposes, I think you could remove the \"`pip install ...`\" steps from this commit, 'cause these deps (black, isort, flake8) are already installed on `pip install -e \".[dev]\"` on the [Start by preparing your environment](https://github.com/huggingface/datasets/blob/704107f924e74... | 2020-12-10T09:30:59Z | 2020-12-10T12:18:47Z | 2020-12-10T09:31:14Z | MEMBER | null | null | 0 | {
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"Looks like this PR includes changes about many other files than the ones for clickbait_news_bg\r\n\r\nCan you create another branch and another PR please ?",
"I created a new branch with the dataset code and submitted a new PR for it: https://github.com/huggingface/datasets/pull/1568"
] | 2020-12-10T09:17:28Z | 2020-12-15T07:45:19Z | 2020-12-15T07:45:19Z | CONTRIBUTOR | null | null | 0 | {
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"This dataset will be available in version-2 of the library. If you want to use this dataset now, install datasets from `master` branch rather.\r\n\r\nCommand to install datasets from `master` branch:\r\n`!pip install git+https://github.com/huggingface/datasets.git@master`",
"Closing this, thanks @VasudevGupta7 "... | 2020-12-10T09:14:47Z | 2020-12-15T17:41:14Z | 2020-12-15T17:41:14Z | NONE | null | null | null | null | ```py
!pip install datasets
import datasets as ds
corpus = ds.load_dataset('large_spanish_corpus')
```
gives the error
> FileNotFoundError: Couldn't find file locally at large_spanish_corpus/large_spanish_corpus.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/large_spanish_corpus/large_spanish_corpus.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/large_spanish_corpus/large_spanish_corpus.py
not just `large_spanish_corpus`, `zest` too, but `squad` is available.
this was using colab and localy | {
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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 tel... | 2020-12-10T08:43:02Z | 2023-09-24T09:40:41Z | 2022-10-03T09:38:48Z | CONTRIBUTOR | null | null | 1 | {
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} | While I was adding one XML dataset, I noticed that all the dataset was loaded in memory during the dummy data generation process (using nearly all my laptop RAM).
Looking at the code, I have found that the origin is the use of `ET.parse()`. This method loads **all the file content in memory**.
In order to fix this, I have refactorized the code and use `ET.iterparse()` instead, which **parses the file content incrementally**.
I have also implemented a test. | {
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https://api.github.com/repos/huggingface/datasets/issues/1440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1440/comments | https://api.github.com/repos/huggingface/datasets/issues/1440/events | https://github.com/huggingface/datasets/pull/1440 | 760,973,057 | MDExOlB1bGxSZXF1ZXN0NTM1NzEyNDY1 | 1,440 | Adding english plaintext jokes dataset | {
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"Hi @purvimisal, thanks for your contributions!\r\n\r\nThis jokes dataset has come up before, and after a conversation with the initial submitter, we decided not to add it then. Humor is important, but looking at the actual data points in this set raises several concerns :) \r\n\r\nThe main issue is the Reddit part... | 2020-12-10T07:04:17Z | 2020-12-13T05:22:00Z | 2020-12-12T05:55:43Z | CONTRIBUTOR | null | null | 0 | {
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} | This PR adds a dataset of 200k English plaintext Jokes from three sources: Reddit, Stupidstuff, and Wocka.
Link: https://github.com/taivop/joke-dataset
This is my second PR.
First was: [#1269 ](https://github.com/huggingface/datasets/pull/1269) | {
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} | 1k-10k -> 1k-1M
3 separate configs are available with min. 1K and max. 211.3k examples | {
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"I have noticed that the master branch of your fork has diverged from the one of the repo. This is probably what causes the mess in the github diff \"Files changed\".\r\n\r\nI would suggest to re-fork the `datasets` repo and recreate a new branch and a new PR. ",
"You're pretty close to having all things ready to... | 2020-12-10T06:47:24Z | 2020-12-15T10:36:27Z | 2020-12-15T10:36:26Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1437/comments | https://api.github.com/repos/huggingface/datasets/issues/1437/events | https://github.com/huggingface/datasets/pull/1437 | 760,891,879 | MDExOlB1bGxSZXF1ZXN0NTM1NjQwODE0 | 1,437 | Add Indosum dataset | {
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"Hi @prasastoadi have you had a chance to take a look at my suggestions ?\r\n\r\nFeel free to ping ;e if you have questions or when you're ready for a review",
"Thanks for your contribution, @prasastoadi. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub ... | 2020-12-10T05:02:00Z | 2022-10-03T09:38:54Z | 2022-10-03T09:38:54Z | NONE | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1436/comments | https://api.github.com/repos/huggingface/datasets/issues/1436/events | https://github.com/huggingface/datasets/pull/1436 | 760,873,132 | MDExOlB1bGxSZXF1ZXN0NTM1NjI1MDM0 | 1,436 | add ALT | {
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"The errors in de CI are fixed on master so it's fine"
] | 2020-12-10T04:17:21Z | 2020-12-13T16:14:18Z | 2020-12-11T15:52:41Z | CONTRIBUTOR | null | null | 0 | {
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} | ALT dataset -- https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ | {
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https://api.github.com/repos/huggingface/datasets/issues/1435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1435/comments | https://api.github.com/repos/huggingface/datasets/issues/1435/events | https://github.com/huggingface/datasets/pull/1435 | 760,867,325 | MDExOlB1bGxSZXF1ZXN0NTM1NjIwODE4 | 1,435 | Add FreebaseQA dataset | {
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"@yjernite @lhoestq Any suggestions on how to get the dummy data generator to recognize the columns? The structure of the json is:\r\n```\r\n{\r\n \"Dataset\": \"FreebaseQA-eval\", \r\n \"Version\": \"1.0\", \r\n \"Questions\": [\r\n {\r\n \"Question-ID\": \"FreebaseQA-eval-0\", \r\n \"RawQuestion\"... | 2020-12-10T04:03:27Z | 2021-02-05T09:47:30Z | 2021-02-05T09:47:30Z | CONTRIBUTOR | null | null | 0 | {
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} | This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph
Repo: https://github.com/kelvin-jiang/FreebaseQA
Paper: https://www.aclweb.org/anthology/N19-1028.pdf
## TODO: create dummy data
Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate`
```
f"Couldn't parse columns {list(json_data.keys())}. "
ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>.
```
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"Hey @lhoestq , thanks for the feedback on this! I updated the `_generate_examples` with some comments on the process, and reduced the `dummy_data.zip` down quite a bit as well. \r\n\r\nFor the dummy data, I reduced the text to only three sentences, and aligned the corresponding entity/token/sentence annotations to... | 2020-12-10T02:15:02Z | 2020-12-17T09:59:54Z | 2020-12-17T09:59:54Z | CONTRIBUTOR | null | null | 0 | {
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"@lhoestq Thanks a lot for checking! I hope I addressed all your comments. ",
"merging since the CI is fixed on master"
] | 2020-12-10T01:44:47Z | 2020-12-14T13:51:05Z | 2020-12-14T13:51:04Z | CONTRIBUTOR | null | null | 0 | {
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"merging since the CI is fixed on master"
] | 2020-12-10T00:59:34Z | 2020-12-11T15:01:23Z | 2020-12-11T15:01:23Z | CONTRIBUTOR | null | null | 0 | {
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} | Adding ArCOV-19 dataset. ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 30th of April 2020. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes over 1M tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and-liked). The propagation networks include both retweets and conversational threads (i.e., threads of replies). ArCOV-19 is designed to enable research under several domains including natural language processing, information retrieval, and social computing, among others. | {
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"Can't pass dummy data tests. For the instructions, it asks me to generate the following file `dummy_data/Youm7_XML_utf_8.rar/Youm7_utf_8.xml` which is strange, any ideas @lhoestq ?\r\n\r\ncc: I tested the data locally and it works, maybe the dummy tests doesn't support `rar` ? ",
"In the dummy_data.zip files you... | 2020-12-10T00:32:18Z | 2020-12-22T10:03:59Z | 2020-12-22T10:03:59Z | CONTRIBUTOR | null | null | 0 | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1423/comments | https://api.github.com/repos/huggingface/datasets/issues/1423/events | https://github.com/huggingface/datasets/pull/1423 | 760,712,421 | MDExOlB1bGxSZXF1ZXN0NTM1NDk3OTk5 | 1,423 | Imppres | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1420/comments | https://api.github.com/repos/huggingface/datasets/issues/1420/events | https://github.com/huggingface/datasets/pull/1420 | 760,700,388 | MDExOlB1bGxSZXF1ZXN0NTM1NDg4MTM5 | 1,420 | Add dataset yoruba_wordsim353 | {
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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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"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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https://api.github.com/repos/huggingface/datasets/issues/1407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1407/comments | https://api.github.com/repos/huggingface/datasets/issues/1407/events | https://github.com/huggingface/datasets/pull/1407 | 760,581,756 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg5ODQx | 1,407 | Add Tweet Eval Dataset | {
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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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} | Binary Portuguese Hate Speech dataset from [this paper](https://www.aclweb.org/anthology/W19-3510/). | {
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https://api.github.com/repos/huggingface/datasets/issues/1405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1405/comments | https://api.github.com/repos/huggingface/datasets/issues/1405/events | https://github.com/huggingface/datasets/pull/1405 | 760,578,035 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg2ODA1 | 1,405 | Adding TaPaCo Dataset with README.md | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1404/comments | https://api.github.com/repos/huggingface/datasets/issues/1404/events | https://github.com/huggingface/datasets/pull/1404 | 760,575,473 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg0NzEz | 1,404 | Add Acronym Identification Dataset | {
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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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"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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} | HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
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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"@lhoestq fixed :) "
] | 2020-12-09T15:37:45Z | 2020-12-14T10:23:30Z | 2020-12-14T10:23:29Z | CONTRIBUTOR | null | null | 0 | {
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> 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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"@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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"@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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"@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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} | `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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"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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https://api.github.com/repos/huggingface/datasets/issues/1362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1362/comments | https://api.github.com/repos/huggingface/datasets/issues/1362/events | https://github.com/huggingface/datasets/pull/1362 | 760,138,233 | MDExOlB1bGxSZXF1ZXN0NTM1MDIwMDAz | 1,362 | adding opus_infopankki | {
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} | [] | closed | false | null | [] | null | [
"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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} | Brand-Product Relation Extraction Corpora in Polish | {
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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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} | [] | closed | false | null | [] | null | [] | 2020-12-09T07:41:30Z | 2020-12-10T14:28:41Z | 2020-12-10T14:28:41Z | CONTRIBUTOR | null | null | 0 | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1358 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1358/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1358/comments | https://api.github.com/repos/huggingface/datasets/issues/1358/events | https://github.com/huggingface/datasets/pull/1358 | 760,031,131 | MDExOlB1bGxSZXF1ZXN0NTM0OTI5ODIx | 1,358 | Add spider dataset | {
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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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