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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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} | [] | closed | false | null | [] | null | 3 | 2020-12-13T17:45:48 | 2020-12-23T09:53:03 | 2020-12-23T09:53:03 | CONTRIBUTOR | null | Adding the following dataset:
https://github.com/HaniehP/PersianNER
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} | [] | closed | false | null | [] | null | 18 | 2020-12-13T16:33:46 | 2020-12-18T16:20:06 | 2020-12-18T16:17:18 | CONTRIBUTOR | null | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | {
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} | [] | closed | false | null | [] | null | 3 | 2020-12-13T15:39:07 | 2020-12-13T23:35:53 | 2020-12-13T23:35:53 | CONTRIBUTOR | null | adding Hindi Wikipedia corpus | {
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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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} | [] | closed | false | null | [] | null | 2 | 2020-12-13T14:27:00 | 2022-10-05T12:33:29 | 2022-10-05T12:33:29 | NONE | 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 | 2020-12-13T12:43:33 | 2020-12-18T10:09:01 | 2020-12-18T10:09:01 | CONTRIBUTOR | null | 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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I have added Wiki Asp dataset. Please review the PR. | {
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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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} | [] | closed | false | null | [] | null | 0 | 2020-12-13T00:21:14 | 2020-12-13T19:14:24 | 2020-12-13T19:14:24 | CONTRIBUTOR | null | @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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In particular, for:
- Entity recognition
- Relation extraction
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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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The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track. | {
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Fix feature format issue
Create dataset_info.json file
Run pytests
Make Style | {
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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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} | [] | closed | false | null | [] | null | 2 | 2020-12-11T12:19:38 | 2020-12-19T15:03:39 | 2020-12-19T15:03:39 | CONTRIBUTOR | null | Just find it a wee bit odd that in the transformers library `predictions` are those made by the model:
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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} | [] | closed | false | null | [] | null | 0 | 2020-12-11T10:08:18 | 2020-12-17T11:28:47 | 2020-12-17T11:28:46 | MEMBER | null | I forgot to add `elem.clear()` to clear the element from memory. | {
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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. | {
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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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} | [] | closed | false | null | [] | null | 1 | 2020-12-10T20:59:45 | 2020-12-13T19:13:57 | 2020-12-13T19:13:57 | CONTRIBUTOR | null | 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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**Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq | {
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Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json | {
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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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Recently my PR for id_nergrit_ner has been accepted and merged to the main branch. The id_nergrit_ner has only one dataset (NER), and this new PR renamed the dataset from id_nergrit_ner to id_nergrit_corpus and added 2 other remaining datasets (Statement Extraction, and Sentiment Analysis.) | {
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Spanish healthcare system. | {
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