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And a thank you note at the end :hugs: | {
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} | UPDATE2 (3797ce5): Updated for multi-configs
UPDATE (7018082): manually created the dummy_datasets. All tests were cleared locally. Pushed it to origin/master
DRAFT VERSION (57fdb20): (_no longer draft_)
Uploaded the air_dialogue database.
dummy_data creation was failing in local, since the original downloaded file has some nested folders. Pushing it since the tests with real data was cleared. Will re-check & update via manually creating some dummy_data | {
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I have completed the readme , tags and other required things. I need to create the metadata json once tests get successful.
Opening a PR while working with Yacine Jernite to resolve my pytest issues. | {
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README has to be updated. | {
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https://github.com/HaniehP/PersianNER
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Link: https://github.com/m3hrdadfi/wiki-summary | {
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https://api.github.com/repos/huggingface/datasets/issues/1543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1543/comments | https://api.github.com/repos/huggingface/datasets/issues/1543/events | https://github.com/huggingface/datasets/pull/1543 | 765,476,196 | MDExOlB1bGxSZXF1ZXN0NTM4OTcwOTU5 | 1,543 | adding HindEncorp | {
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https://api.github.com/repos/huggingface/datasets/issues/1542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1542/comments | https://api.github.com/repos/huggingface/datasets/issues/1542/events | https://github.com/huggingface/datasets/pull/1542 | 765,439,746 | MDExOlB1bGxSZXF1ZXN0NTM4OTYyMjAx | 1,542 | fix typo readme | {
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https://api.github.com/repos/huggingface/datasets/issues/1541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1541/comments | https://api.github.com/repos/huggingface/datasets/issues/1541/events | https://github.com/huggingface/datasets/issues/1541 | 765,430,586 | MDU6SXNzdWU3NjU0MzA1ODY= | 1,541 | connection issue while downloading data | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-13 14:27:00+00:00 | 2022-10-05 12:33:29+00:00 | 2022-10-05 12:33:29+00:00 | NONE | null | null | null | null | Hi
I am running my codes on google cloud, and I am getting this error resulting in the failure of the codes when trying to download the data, could you assist me to solve this? also as a temporary solution, could you tell me how I can increase the number of retries and timeout to at least let the models run for now. thanks
```
Traceback (most recent call last):
File "finetune_t5_trainer.py", line 361, in <module>
main()
File "finetune_t5_trainer.py", line 269, in main
add_prefix=False if training_args.train_adapters else True)
File "/workdir/seq2seq/data/tasks.py", line 70, in get_dataset
dataset = self.load_dataset(split=split)
File "/workdir/seq2seq/data/tasks.py", line 306, in load_dataset
return datasets.load_dataset('glue', 'cola', split=split)
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 263, in prepare_module
head_hf_s3(path, filename=name, dataset=dataset)
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 200, in head_hf_s3
return http_head(hf_bucket_url(identifier=identifier, filename=filename, use_cdn=use_cdn, dataset=dataset))
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 403, in http_head
url, proxies=proxies, headers=headers, cookies=cookies, allow_redirects=allow_redirects, timeout=timeout
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 104, in head
return request('head', url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 61, in request
return session.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 542, in request
resp = self.send(prep, **send_kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 655, in send
r = adapter.send(request, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/adapters.py", line 504, in send
raise ConnectTimeout(e, request=request)
requests.exceptions.ConnectTimeout: HTTPSConnectionPool(host='s3.amazonaws.com', port=443): Max retries exceeded with url: /datasets.huggingface.co/datasets/datasets/glue/glue.py (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f47db511e80>, 'Connection to s3.amazonaws.com timed out. (connect timeout=10)'))
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1540/comments | https://api.github.com/repos/huggingface/datasets/issues/1540/events | https://github.com/huggingface/datasets/pull/1540 | 765,357,702 | MDExOlB1bGxSZXF1ZXN0NTM4OTQ1NDc2 | 1,540 | added TTC4900: A Benchmark Data for Turkish Text Categorization dataset | {
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} | [] | closed | false | null | [] | null | 7 | 2020-12-13 12:43:33+00:00 | 2020-12-18 10:09:01+00:00 | 2020-12-18 10:09:01+00:00 | CONTRIBUTOR | null | null | 0 | {
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} | This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
| {
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https://api.github.com/repos/huggingface/datasets/issues/1539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1539/comments | https://api.github.com/repos/huggingface/datasets/issues/1539/events | https://github.com/huggingface/datasets/pull/1539 | 765,338,910 | MDExOlB1bGxSZXF1ZXN0NTM4OTQyMTU4 | 1,539 | Added Wiki Asp dataset | {
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I have added Wiki Asp dataset. Please review the PR. | {
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https://api.github.com/repos/huggingface/datasets/issues/1538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1538/comments | https://api.github.com/repos/huggingface/datasets/issues/1538/events | https://github.com/huggingface/datasets/pull/1538 | 765,139,739 | MDExOlB1bGxSZXF1ZXN0NTM4ODkxOTE3 | 1,538 | tweets_hate_speech_detection | {
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} | UPDATE2: PR passed all tests. Now waiting for review.
UPDATE: pushed a new version. cross fingers that it should complete all the tests! :)
If it passes all tests then it's not a draft version.
This is a draft version | {
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Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_monoling
Paper: https://arxiv.org/abs/2004.00648 | {
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This is a new clean PR from [#1322](https://github.com/huggingface/datasets/pull/1322) | {
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} | @lhoestq Sorry I messed up the previous 2 PR's -> https://github.com/huggingface/datasets/pull/1462 -> https://github.com/huggingface/datasets/pull/1383. So created a new one. Also, everything is fixed in this PR. Can you please review it ?
Thanks in advance. | {
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See https://homes.cs.washington.edu/~msap/atomic/ | {
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* README.md still to be created. | {
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could you tell me how I can get all unique options of a property of dataset?
for instance in case of boolq, if the user wants to know which unique labels it has, is there a way to access unique labels without getting all training data lables and then forming a set i mean? thanks | {
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- Added code changes | {
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Repo: https://github.com/emorynlp/selqa/
Paper: https://arxiv.org/pdf/1606.08513.pdf | {
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} | [] | closed | false | null | [] | null | 5 | 2020-12-12 11:55:29+00:00 | 2020-12-28 14:01:12+00:00 | 2020-12-28 14:01:12+00:00 | CONTRIBUTOR | null | null | 0 | {
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} | TODO:
Fix feature format issue
Create dataset_info.json file
Run pytests
Make Style | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-12 08:47:12+00:00 | 2020-12-14 15:28:07+00:00 | 2020-12-14 15:28:07+00:00 | CONTRIBUTOR | null | null | 0 | {
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} | Hi, I need to update the link to the dataset. The link in the previous PR was to a small test dataset. Thanks | {
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} | StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession. | {
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} | https://parl.ai/projects/md_gender/
Mostly has the ABOUT dimension since the others are inferred from other datasets in most cases.
I tried to keep the dummy data small but one of the configs has 140 splits ( > 56KB data) | {
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In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work. | {
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https://github.com/huggingface/transformers/blob/master/src/transformers/trainer_utils.py#L51-L61
While in many datasets metrics they are the ground truth labels:
https://github.com/huggingface/datasets/blob/c3f53792a744ede18d748a1133b6597fdd2d8d18/metrics/accuracy/accuracy.py#L31-L40
Do you think predictions & references should be swapped? I'd be willing to do some refactoring here if you agree. | {
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} | Managed to mess up my original pull request, opening a fresh one incorporating the changes suggested by @lhoestq. | {
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} | See #1442.
The statement `json.load()` loads **all the file content in memory**.
In order to avoid this, file content should be parsed **iteratively**, by using the library `ijson` e.g.
I have refactorized the code into a function `_create_json_dummy_data` and I have added some tests. | null | {
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I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308
Thanks | {
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} | Updated PR to counter messed up history of previous one (https://github.com/huggingface/datasets/pull/1235) due to rebase.
Removed manual downloading of dataset. | {
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They contain original Japanese, simplified Japanese, and original English (the original text is gotten from en-ja translation corpus). Hence, it can be used not only for Japanese simplification but also for en-ja translation.
- http://www.jnlp.org/SNOW/T15
- http://www.jnlp.org/SNOW/T23 | {
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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.
**Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq | {
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} | 196k Reddit Jokes dataset
Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json | {
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} | This PR adds features of the enriched_web_nlg dataset that were not present yet (most notably sorted rdf triplet sets), and deals with some xml issues that led to returning no data in cases where surgery could be performed to salvage it. | {
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} | The original PR -> https://github.com/huggingface/datasets/pull/1383
Reason for creating again -
The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch. | {
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