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https://api.github.com/repos/huggingface/datasets/issues/1634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1634/comments | https://api.github.com/repos/huggingface/datasets/issues/1634/events | https://github.com/huggingface/datasets/issues/1634 | 774,487,934 | MDU6SXNzdWU3NzQ0ODc5MzQ= | 1,634 | Inspecting datasets per category | {
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"That's interesting, can you tell me what you think would be useful to access to inspect a dataset?\r\n\r\nYou can filter them in the hub with the search by the way: https://huggingface.co/datasets have you seen it?",
"Hi @thomwolf \r\nthank you, I was not aware of this, I was looking into the data viewer linked ... | 2020-12-24T15:26:34 | 2022-10-04T14:57:33 | 2022-10-04T14:57:33 | NONE | null | Hi
Is there a way I could get all NLI datasets/all QA datasets to get some understanding of available datasets per category? this is hard for me to inspect the datasets one by one in the webpage, thanks for the suggestions @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1633/comments | https://api.github.com/repos/huggingface/datasets/issues/1633/events | https://github.com/huggingface/datasets/issues/1633 | 774,422,603 | MDU6SXNzdWU3NzQ0MjI2MDM= | 1,633 | social_i_qa wrong format of labels | {
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"@lhoestq, should I raise a PR for this? Just a minor change while reading labels text file",
"Sure feel free to open a PR thanks !"
] | 2020-12-24T13:11:54 | 2020-12-30T17:18:49 | 2020-12-30T17:18:49 | NONE | null | Hi,
there is extra "\n" in labels of social_i_qa datasets, no big deal, but I was wondering if you could remove it to make it consistent.
so label is 'label': '1\n', not '1'
thanks
```
>>> import datasets
>>> from datasets import load_dataset
>>> dataset = load_dataset(
... 'social_i_qa')
cahce dir /julia/cache/datasets
Downloading: 4.72kB [00:00, 3.52MB/s]
cahce dir /julia/cache/datasets
Downloading: 2.19kB [00:00, 1.81MB/s]
Using custom data configuration default
Reusing dataset social_i_qa (/julia/datasets/social_i_qa/default/0.1.0/4a4190cc2d2482d43416c2167c0c5dccdd769d4482e84893614bd069e5c3ba06)
>>> dataset['train'][0]
{'answerA': 'like attending', 'answerB': 'like staying home', 'answerC': 'a good friend to have', 'context': 'Cameron decided to have a barbecue and gathered her friends together.', 'label': '1\n', 'question': 'How would Others feel as a result?'}
```
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## Adding a Dataset
- **Name:** SICK
- **Description:** SICK consists of about 10,000 English sentence pairs that include many examples of the lexical, syntactic, and semantic phenomena.
- **Paper:** https://www.aclweb.org/anthology/L14-1314/
- **Data:** http://marcobaroni.org/composes/sick.html
- **Motivation:** This dataset is well-known in the NLP community used for recognizing entailment between sentences.
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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"Adding a link to the guide on adding a dataset if someone want to give it a try: https://github.com/huggingface/datasets#add-a-new-dataset-to-the-hub\r\n\r\nwe should add this guide to the issue template @lhoestq ",
"thanks @thomwolf , this is added now. The template is correct, sorry my mistake not to include i... | 2020-12-24T11:01:31 | 2022-10-05T12:36:12 | 2022-10-05T12:36:12 | CONTRIBUTOR | null | Hi, this would be great to have this dataset included.
## Adding a Dataset
- **Name:** UKP Argument Aspect Similarity Corpus
- **Description:** The UKP Argument Aspect Similarity Corpus (UKP ASPECT) includes 3,595 sentence pairs over 28 controversial topics. Each sentence pair was annotated via crowdsourcing as either “high similarity”, “some similarity”, “no similarity” or “not related” with respect to the topic.
- **Paper:** https://www.aclweb.org/anthology/P19-1054/
- **Data:** https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/1998
- **Motivation:** this is one of the datasets currently used frequently in recent adapter papers like https://arxiv.org/pdf/2005.00247.pdf
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
Thank you | {
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- refactor `star_rating` to a `datasets.features.ClassLabel` field | {
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"Progress bar can be disabled like this:\r\n```python\r\nfrom datasets.utils.logging import set_verbosity_error\r\nset_verbosity_error()\r\n```\r\n\r\nThere is this line in `Dataset.map`:\r\n```python\r\nnot_verbose = bool(logger.getEffectiveLevel() > WARNING)\r\n```\r\n\r\nSo any logging level higher than `WARNING... | 2020-12-23T17:53:42 | 2023-02-08T02:37:47 | 2020-12-26T19:57:17 | NONE | null | I can't find anything to turn off the `tqdm` progress bars while running a preprocessing function using `Dataset.map`. I want to do akin to `disable_tqdm=True` in the case of `transformers`. Is there something like that? | {
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https://api.github.com/repos/huggingface/datasets/issues/1626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1626/comments | https://api.github.com/repos/huggingface/datasets/issues/1626/events | https://github.com/huggingface/datasets/pull/1626 | 773,840,368 | MDExOlB1bGxSZXF1ZXN0NTQ0ODYxMDE4 | 1,626 | Fix dataset_dict.shuffle with single seed | {
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I added support for single integer used in `DatasetDict.shuffle`. Previously only a dictionary of seed was allowed.
Moreover I added the missing `seed` parameter. Previously only `seeds` was allowed. | {
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https://api.github.com/repos/huggingface/datasets/issues/1625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1625/comments | https://api.github.com/repos/huggingface/datasets/issues/1625/events | https://github.com/huggingface/datasets/pull/1625 | 773,771,596 | MDExOlB1bGxSZXF1ZXN0NTQ0Nzk4MDM1 | 1,625 | Fixed bug in the shape property | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-23T13:33:21 | 2021-01-02T23:22:52 | 2020-12-23T14:13:13 | CONTRIBUTOR | null | Fix to the bug reported in issue #1622. Just replaced `return tuple(self._indices.num_rows, self._data.num_columns)` by `return (self._indices.num_rows, self._data.num_columns)`. | {
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https://api.github.com/repos/huggingface/datasets/issues/1624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1624/comments | https://api.github.com/repos/huggingface/datasets/issues/1624/events | https://github.com/huggingface/datasets/issues/1624 | 773,669,700 | MDU6SXNzdWU3NzM2Njk3MDA= | 1,624 | Cannot download ade_corpus_v2 | {
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"Hi @him1411, the dataset you are trying to load has been added during the community sprint and has not been released yet. It will be available with the v2 of `datasets`.\r\nFor now, you should be able to load the datasets after installing the latest (master) version of `datasets` using pip:\r\n`pip install git+htt... | 2020-12-23T10:58:14 | 2021-08-03T05:08:54 | 2021-08-03T05:08:54 | NONE | null | I tried this to get the dataset following this url : https://huggingface.co/datasets/ade_corpus_v2
but received this error :
`Traceback (most recent call last):
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/load.py", line 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache
raise FileNotFoundError("Couldn't find file at {}".format(url))
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/ade_corpus_v2/ade_corpus_v2.py
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/load.py", line 278, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/opt/anaconda3/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache
raise FileNotFoundError("Couldn't find file at {}".format(url))
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/ade_corpus_v2/ade_corpus_v2.py
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/anaconda3/lib/python3.7/site-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 "/opt/anaconda3/lib/python3.7/site-packages/datasets/load.py", line 282, in prepare_module
combined_path, github_file_path, file_path
FileNotFoundError: Couldn't find file locally at ade_corpus_v2/ade_corpus_v2.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/ade_corpus_v2/ade_corpus_v2.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/ade_corpus_v2/ade_corpus_v2.py`
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https://api.github.com/repos/huggingface/datasets/issues/1623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1623/comments | https://api.github.com/repos/huggingface/datasets/issues/1623/events | https://github.com/huggingface/datasets/pull/1623 | 772,950,710 | MDExOlB1bGxSZXF1ZXN0NTQ0MTI2ODQ4 | 1,623 | Add CLIMATE-FEVER dataset | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-22T13:34:05 | 2020-12-22T17:53:53 | 2020-12-22T17:53:53 | CONTRIBUTOR | null | As suggested by @SBrandeis , fresh PR that adds CLIMATE-FEVER. Replaces PR #1579.
---
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
* Homepage: http://climatefever.ai
* Paper: https://arxiv.org/abs/2012.00614 | {
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https://api.github.com/repos/huggingface/datasets/issues/1622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1622/comments | https://api.github.com/repos/huggingface/datasets/issues/1622/events | https://github.com/huggingface/datasets/issues/1622 | 772,940,768 | MDU6SXNzdWU3NzI5NDA3Njg= | 1,622 | Can't call shape on the output of select() | {
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"Indeed that's a typo, do you want to open a PR to fix it?",
"Yes, created a PR"
] | 2020-12-22T13:18:40 | 2020-12-23T13:37:13 | 2020-12-23T13:37:12 | CONTRIBUTOR | null | I get the error `TypeError: tuple expected at most 1 argument, got 2` when calling `shape` on the output of `select()`.
It's line 531 in shape in arrow_dataset.py that causes the problem:
``return tuple(self._indices.num_rows, self._data.num_columns)``
This makes sense, since `tuple(num1, num2)` is not a valid call.
Full code to reproduce:
```python
dataset = load_dataset("cnn_dailymail", "3.0.0")
train_set = dataset["train"]
t = train_set.select(range(10))
print(t.shape) | {
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https://api.github.com/repos/huggingface/datasets/issues/1621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1621/comments | https://api.github.com/repos/huggingface/datasets/issues/1621/events | https://github.com/huggingface/datasets/pull/1621 | 772,940,417 | MDExOlB1bGxSZXF1ZXN0NTQ0MTE4MTAz | 1,621 | updated dutch_social.py for loading jsonl (lines instead of list) files | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-22T13:18:11 | 2020-12-23T11:51:51 | 2020-12-23T11:51:51 | CONTRIBUTOR | null | the data_loader is modified to load files on the fly. Earlier it was reading the entire file and then processing the records
Pls refer to previous PR #1321 | {
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https://api.github.com/repos/huggingface/datasets/issues/1620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1620/comments | https://api.github.com/repos/huggingface/datasets/issues/1620/events | https://github.com/huggingface/datasets/pull/1620 | 772,620,056 | MDExOlB1bGxSZXF1ZXN0NTQzODUxNTY3 | 1,620 | Adding myPOS2017 dataset | {
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"cc'ing @mapmeld ",
"Full language list is now deployed to https://huggingface.co/datasets ! Recommend close",
"Cool @mapmeld ! My 2 cents (for a next iteration), it would be cool to have a small search widget in the filter dropdown as you have a ton of languages now here! Closing this in the meantime."
] | 2020-12-21T15:23:23 | 2020-12-22T17:17:00 | 2020-12-22T17:16:09 | NONE | null | When visiting https://huggingface.co/datasets, I don't see an obvious way to filter only English datasets. This is unexpected for me, am I missing something? I'd expect English to be selectable in the language widget. This problem reproduced on Mozilla Firefox and MS Edge:
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} | [] | closed | false | null | [] | null | [] | 2020-12-21T11:03:16 | 2020-12-24T07:08:41 | 2020-12-23T16:50:06 | CONTRIBUTOR | null | This PR adds the **TurkishMovieSentiment: This dataset contains turkish movie reviews.**
- **Homepage:** [https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks](https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks)
- **Point of Contact:** [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/) | {
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https://api.github.com/repos/huggingface/datasets/issues/1613 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1613/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1613/comments | https://api.github.com/repos/huggingface/datasets/issues/1613/events | https://github.com/huggingface/datasets/pull/1613 | 771,577,050 | MDExOlB1bGxSZXF1ZXN0NTQzMDYwNzEx | 1,613 | Add id_clickbait | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-20T10:25:08 | 2020-12-21T14:13:33 | 2020-12-21T14:13:33 | CONTRIBUTOR | null | Hi @lhoestq, Adding wiki asp as new branch because #1539 has other commits. This version has dummy data for each domain <20/30KB. | {
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"Is there a way one can convert the two generator? not sure overall what alternatives I could have to shuffle the datasets with a torch generator, thanks ",
"@lhoestq let me please expalin in more details, maybe you could help me suggesting an alternative to solve the issue for now, I have multiple large dataset... | 2020-12-20T00:57:14 | 2022-06-01T15:30:13 | 2022-06-01T15:30:13 | NONE | null | Hi
I need to shuffle mutliple large datasets with `generator = torch.Generator()` for a distributed sampler which needs to make sure datasets are consistent across different cores, for this, this is really necessary for me to use torch generator, based on documentation this generator is not supported with datasets, I really need to make shuffle work with this generator and I was wondering what I can do about this issue, thanks for your help
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"Hi, did you check the doc on `shuffle`?\r\nhttps://huggingface.co/docs/datasets/package_reference/main_classes.html?datasets.Dataset.shuffle#datasets.Dataset.shuffle",
"Hi Thomas\r\nthanks for reponse, yes, I did checked it, but this does not work for me please see \r\n\r\n```\r\n(internship) rkarimi@italix17:/i... | 2020-12-19T20:59:39 | 2021-01-04T10:00:03 | 2021-01-04T10:00:03 | CONTRIBUTOR | null | Hi
I need to shuffle the dataset, but this needs to be based on epoch+seed to be consistent across the cores, when I pass seed to shuffle, this does not accept seed, could you assist me with this? thanks @lhoestq
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https://api.github.com/repos/huggingface/datasets/issues/1609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1609/comments | https://api.github.com/repos/huggingface/datasets/issues/1609/events | https://github.com/huggingface/datasets/issues/1609 | 771,421,881 | MDU6SXNzdWU3NzE0MjE4ODE= | 1,609 | Not able to use 'jigsaw_toxicity_pred' dataset | {
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"Hi @jassimran,\r\nThe `jigsaw_toxicity_pred` dataset has not been released yet, it will be available with version 2 of `datasets`, coming soon.\r\nYou can still access it by installing the master (unreleased) version of datasets directly :\r\n`pip install git+https://github.com/huggingface/datasets.git@master`\r\n... | 2020-12-19T17:35:48 | 2020-12-22T16:42:24 | 2020-12-22T16:42:23 | NONE | null | When trying to use jigsaw_toxicity_pred dataset, like this in a [colab](https://colab.research.google.com/drive/1LwO2A5M2X5dvhkAFYE4D2CUT3WUdWnkn?usp=sharing):
```
from datasets import list_datasets, list_metrics, load_dataset, load_metric
ds = load_dataset("jigsaw_toxicity_pred")
```
I see below error:
> FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/datasets/load.py in prepare_module(path, script_version, download_config, download_mode, dataset, force_local_path, **download_kwargs)
280 raise FileNotFoundError(
281 "Couldn't find file locally at {}, or remotely at {} or {}".format(
--> 282 combined_path, github_file_path, file_path
283 )
284 )
FileNotFoundError: Couldn't find file locally at jigsaw_toxicity_pred/jigsaw_toxicity_pred.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/jigsaw_toxicity_pred/jigsaw_toxicity_pred.py | {
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https://api.github.com/repos/huggingface/datasets/issues/1608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1608/comments | https://api.github.com/repos/huggingface/datasets/issues/1608/events | https://github.com/huggingface/datasets/pull/1608 | 771,329,434 | MDExOlB1bGxSZXF1ZXN0NTQyODkyMTQ4 | 1,608 | adding ted_talks_iwslt | {
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Running the `pytest `went for more than 40+ hours and it was still running!
So working on a different approach, such that the number of configs = number of languages. Will make a new pull request with that.
UPDATE: This requires manual download dataset
This is a draft version | {
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https://api.github.com/repos/huggingface/datasets/issues/1606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1606/comments | https://api.github.com/repos/huggingface/datasets/issues/1606/events | https://github.com/huggingface/datasets/pull/1606 | 771,116,455 | MDExOlB1bGxSZXF1ZXN0NTQyNzMwNTEw | 1,606 | added Semantic Scholar Open Research Corpus | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-18T19:21:24 | 2021-02-03T09:30:59 | 2021-02-03T09:30:59 | CONTRIBUTOR | null | I picked up this dataset [Semantic Scholar Open Research Corpus](https://allenai.org/data/s2orc) but it contains 6000 files to be downloaded. I tried the current code with 100 files and it worked fine (took ~15GB space). For 6000 files it would occupy ~900GB space which I don’t have. Can someone from the HF team with that much of disk space help me with generate dataset_infos and dummy_data? | {
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https://api.github.com/repos/huggingface/datasets/issues/1605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1605/comments | https://api.github.com/repos/huggingface/datasets/issues/1605/events | https://github.com/huggingface/datasets/issues/1605 | 770,979,620 | MDU6SXNzdWU3NzA5Nzk2MjA= | 1,605 | Navigation version breaking | {
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"Not relevant for our current docs :)."
] | 2020-12-18T15:36:24 | 2022-10-05T12:35:11 | 2022-10-05T12:35:11 | NONE | null | Hi,
when navigating docs (Chrome, Ubuntu) (e.g. on this page: https://huggingface.co/docs/datasets/loading_metrics.html#using-a-custom-metric-script) the version control dropdown has the wrong string displayed as the current version:
**Edit:** this actually happens _only_ if you open a link to a concrete subsection.
IMO, the best way to fix this without getting too deep into the intricacies of retrieving version numbers from the URL would be to change [this](https://github.com/huggingface/datasets/blob/master/docs/source/_static/js/custom.js#L112) line to:
```
let label = (version in versionMapping) ? version : stableVersion
```
which delegates the check to the (already maintained) keys of the version mapping dictionary & should be more robust. There's a similar ternary expression [here](https://github.com/huggingface/datasets/blob/master/docs/source/_static/js/custom.js#L97) which should also fail in this case.
I'd also suggest swapping this [block](https://github.com/huggingface/datasets/blob/master/docs/source/_static/js/custom.js#L80-L90) to `string.contains(version) for version in versionMapping` which might be more robust. I'd add a PR myself but I'm by no means competent in JS :)
I also have a side question wrt. docs versioning: I'm trying to make docs for a project which are versioned alike to your dropdown versioning. I was wondering how do you handle storage of multiple doc versions on your server? Do you update what `https://huggingface.co/docs/datasets` points to for every stable release & manually create new folders for each released version?
So far I'm building & publishing (scping) the docs to the server with a github action which works well for a single version, but would ideally need to reorder the public files triggered on a new release. | {
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"We have some tests now for it under `tests/test_download_manager.py`."
] | 2020-12-18T12:49:25 | 2022-10-05T13:04:24 | 2022-10-05T13:04:24 | CONTRIBUTOR | null | AFAIK the download functions in `DownloadManager` are not tested yet. It could be good to add some to ensure behavior is as expected. | {
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] | closed | false | null | [] | null | [] | 2020-12-18T12:41:31 | 2020-12-22T15:34:07 | 2020-12-22T15:34:07 | CONTRIBUTOR | null | ## What does this PR do ?
Adding retries to HTTP GET & HEAD requests, when they fail with a `ConnectTimeout` exception.
The "canonical" way to do this is to use [urllib's Retry class](https://urllib3.readthedocs.io/en/latest/reference/urllib3.util.html#urllib3.util.Retry) and wrap it in a [HttpAdapter](https://requests.readthedocs.io/en/master/api/#requests.adapters.HTTPAdapter). Seems a bit overkill to me, plus it forces us to use the `requests.Session` object. I prefer this simpler implementation. I'm open to remarks and suggestions @lhoestq @yjernite
Fixes #1102 | {
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"Hi @david-waterworth!\r\n\r\nAs indicated in the error message, `load_dataset(\"csv\")` returns a `DatasetDict` object, which is mapping of `str` to `Dataset` objects. I believe in this case the behavior is to return a `train` split with all the data.\r\n`train_test_split` is a method of the `Dataset` object, so y... | 2020-12-18T05:37:10 | 2021-06-15T11:25:46 | 2020-12-21T07:38:58 | NONE | null | The following code fails with "'DatasetDict' object has no attribute 'train_test_split'" - am I doing something wrong?
```
from datasets import load_dataset
dataset = load_dataset('csv', data_files='data.txt')
dataset = dataset.train_test_split(test_size=0.1)
```
> AttributeError: 'DatasetDict' object has no attribute 'train_test_split' | {
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"This happen quite often when they are too many concurrent requests to github.\r\n\r\ni can understand it’s a bit cumbersome to handle on the user side. Maybe we should try a few times in the lib (eg with timeout) before failing, what do you think @lhoestq ?",
"Yes currently there's no retry afaik. We should add ... | 2020-12-17T09:18:34 | 2022-06-01T15:33:42 | 2022-06-01T15:33:41 | NONE | null | Hi
I am hitting to this error, thanks
```
> Traceback (most recent call last):
File "finetune_t5_trainer.py", line 379, in <module>
main()
File "finetune_t5_trainer.py", line 208, in main
if training_args.do_eval or training_args.evaluation_strategy != EvaluationStrategy.NO
File "finetune_t5_trainer.py", line 207, in <dictcomp>
for task in data_args.eval_tasks}
File "/workdir/seq2seq/data/tasks.py", line 70, in get_dataset
dataset = self.load_dataset(split=split)
File "/workdir/seq2seq/data/tasks.py", line 66, in load_dataset
return datasets.load_dataset(self.task.name, split=split, script_version="master")
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 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 487, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/master/datasets/boolq/boolq.py
el/0 I1217 01:11:33.898849 354161 main shadow.py:210 Current job status: FINISHED
``` | {
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"Indeed that would be cool\r\n\r\nAlso FYI right now the easiest way to do this is\r\n```python\r\ndataset_dict[\"train\"] = dataset_dict[\"train\"].map(my_transform_for_the_train_set)\r\ndataset_dict[\"test\"] = dataset_dict[\"test\"].map(my_transform_for_the_test_set)\r\n```",
"I don't feel like adding an extra... | 2020-12-17T07:02:20 | 2022-10-05T13:47:28 | 2022-10-05T12:33:06 | NONE | null | It is possible that we want to do different things in the `map` function (and possibly other functions too) of a `DatasetDict`, depending on the key. I understand that `DatasetDict.map` is a really thin wrapper of `Dataset.map`, so it is easy to directly implement this functionality in the client code. Still, it'd be nice if there can be a flag, similar to `with_indices`, that allows the callable to know the key inside `DatasetDict`. | {
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"... | closed | false | null | [] | null | [
"Sorry, this is a duplicate of #1287. Not sure why it didn't come up when I searched `iwslt` in the issues list.",
"Closing this since its a duplicate"
] | 2020-12-17T00:46:42 | 2020-12-18T08:06:36 | 2020-12-18T08:05:28 | NONE | null | ```
FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnmted//texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz
``` | {
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"Do you have an example?",
"I was thinking about using something like [importlib](https://docs.python.org/3/library/importlib.html#importing-a-source-file-directly) to over-ride the collision. \r\n\r\n**Reason requested**: I use the [following template](https://github.com/jramapuram/ml_base/) repo where I house a... | 2020-12-16T20:17:24 | 2022-06-01T15:32:04 | 2022-06-01T15:32:04 | NONE | null | Many projects use a module called `datasets`, however this is incompatible with huggingface datasets. It would be great if there if there was some helper or similar function to resolve such a common conflict. | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-16T18:50:56 | 2022-07-06T15:19:57 | 2022-07-06T15:19:57 | CONTRIBUTOR | null | Added data loader for machine reading comprehension tasks proposed in the Doc2Dial EMNLP 2020 paper. | {
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@lhoestq for #1584 | {
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https://api.github.com/repos/huggingface/datasets/issues/1585 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1585/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1585/comments | https://api.github.com/repos/huggingface/datasets/issues/1585/events | https://github.com/huggingface/datasets/issues/1585 | 768,831,171 | MDU6SXNzdWU3Njg4MzExNzE= | 1,585 | FileNotFoundError for `amazon_polarity` | {
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"Hi @phtephanx , the `amazon_polarity` dataset has not been released yet. It will be available in the coming soon v2of `datasets` :) \r\n\r\nYou can still access it now if you want, but you will need to install datasets via the master branch:\r\n`pip install git+https://github.com/huggingface/datasets.git@master`"
... | 2020-12-16T12:51:05 | 2020-12-16T16:02:56 | 2020-12-16T16:02:56 | NONE | null | Version: `datasets==v1.1.3`
### Reproduction
```python
from datasets import load_dataset
data = load_dataset("amazon_polarity")
```
crashes with
```bash
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/amazon_polarity/amazon_polarity.py
```
and
```bash
FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/amazon_polarity/amazon_polarity.py
```
and
```bash
FileNotFoundError: Couldn't find file locally at amazon_polarity/amazon_polarity.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/amazon_polarity/amazon_polarity.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/amazon_polarity/amazon_polarity.py
``` | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-16T12:38:38 | 2020-12-18T02:27:24 | 2020-12-18T02:27:24 | CONTRIBUTOR | null | reformated well documented, yaml tags added, code | {
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https://api.github.com/repos/huggingface/datasets/issues/1583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1583/comments | https://api.github.com/repos/huggingface/datasets/issues/1583/events | https://github.com/huggingface/datasets/pull/1583 | 768,795,986 | MDExOlB1bGxSZXF1ZXN0NTQxMTIyODEz | 1,583 | Update metrics docstrings. | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-16T12:14:18 | 2020-12-18T18:39:06 | 2020-12-18T18:39:06 | CONTRIBUTOR | null | #1478 Correcting the argument descriptions for metrics.
Let me know if there's any issues.
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https://api.github.com/repos/huggingface/datasets/issues/1582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1582/comments | https://api.github.com/repos/huggingface/datasets/issues/1582/events | https://github.com/huggingface/datasets/pull/1582 | 768,776,617 | MDExOlB1bGxSZXF1ZXN0NTQxMTEwODU1 | 1,582 | Adding wiki lingua dataset as new branch | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-16T11:53:07 | 2020-12-17T18:06:46 | 2020-12-17T18:06:45 | CONTRIBUTOR | null | Adding the dataset as new branch as advised here: #1470
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https://api.github.com/repos/huggingface/datasets/issues/1581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1581/comments | https://api.github.com/repos/huggingface/datasets/issues/1581/events | https://github.com/huggingface/datasets/issues/1581 | 768,320,594 | MDU6SXNzdWU3NjgzMjA1OTQ= | 1,581 | Installing datasets and transformers in a tensorflow docker image throws Permission Error on 'import transformers' | {
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"Thanks for reporting !\r\nYou can override the directory in which cache file are stored using for example\r\n```\r\nENV HF_HOME=\"/root/cache/hf_cache_home\"\r\n```\r\n\r\nThis way both `transformers` and `datasets` will use this directory instead of the default `.cache`",
"Great, thanks. I didn't see documentat... | 2020-12-16T00:02:21 | 2021-06-17T15:40:45 | 2021-06-17T15:40:45 | NONE | null | I am using a docker container, based on latest tensorflow-gpu image, to run transformers and datasets (4.0.1 and 1.1.3 respectively - Dockerfile attached below). Importing transformers throws a Permission Error to access `/.cache`:
```
$ docker run --gpus=all --rm -it -u $(id -u):$(id -g) -v $(pwd)/data:/root/data -v $(pwd):/root -v $(pwd)/models/:/root/models -v $(pwd)/saved_models/:/root/saved_models -e "HOST_HOSTNAME=$(hostname)" hf-error:latest /bin/bash
________ _______________
___ __/__________________________________ ____/__ /________ __
__ / _ _ \_ __ \_ ___/ __ \_ ___/_ /_ __ /_ __ \_ | /| / /
_ / / __/ / / /(__ )/ /_/ / / _ __/ _ / / /_/ /_ |/ |/ /
/_/ \___//_/ /_//____/ \____//_/ /_/ /_/ \____/____/|__/
You are running this container as user with ID 1000 and group 1000,
which should map to the ID and group for your user on the Docker host. Great!
tf-docker /root > python
Python 3.6.9 (default, Oct 8 2020, 12:12:24)
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import transformers
2020-12-15 23:53:21.165827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.6/dist-packages/transformers/__init__.py", line 22, in <module>
from .integrations import ( # isort:skip
File "/usr/local/lib/python3.6/dist-packages/transformers/integrations.py", line 5, in <module>
from .trainer_utils import EvaluationStrategy
File "/usr/local/lib/python3.6/dist-packages/transformers/trainer_utils.py", line 25, in <module>
from .file_utils import is_tf_available, is_torch_available, is_torch_tpu_available
File "/usr/local/lib/python3.6/dist-packages/transformers/file_utils.py", line 88, in <module>
import datasets # noqa: F401
File "/usr/local/lib/python3.6/dist-packages/datasets/__init__.py", line 26, in <module>
from .arrow_dataset import Dataset, concatenate_datasets
File "/usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py", line 40, in <module>
from .arrow_reader import ArrowReader
File "/usr/local/lib/python3.6/dist-packages/datasets/arrow_reader.py", line 31, in <module>
from .utils import cached_path, logging
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/__init__.py", line 20, in <module>
from .download_manager import DownloadManager, GenerateMode
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/download_manager.py", line 25, in <module>
from .file_utils import HF_DATASETS_CACHE, cached_path, get_from_cache, hash_url_to_filename
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 118, in <module>
os.makedirs(HF_MODULES_CACHE, exist_ok=True)
File "/usr/lib/python3.6/os.py", line 210, in makedirs
makedirs(head, mode, exist_ok)
File "/usr/lib/python3.6/os.py", line 210, in makedirs
makedirs(head, mode, exist_ok)
File "/usr/lib/python3.6/os.py", line 220, in makedirs
mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: '/.cache'
```
I've pinned the problem to `RUN pip install datasets`, and by commenting it you can actually import transformers correctly. Another workaround I've found is creating the directory and giving permissions to it directly on the Dockerfile.
```
FROM tensorflow/tensorflow:latest-gpu-jupyter
WORKDIR /root
EXPOSE 80
EXPOSE 8888
EXPOSE 6006
ENV SHELL /bin/bash
ENV PATH="/root/.local/bin:${PATH}"
ENV CUDA_CACHE_PATH="/root/cache/cuda"
ENV CUDA_CACHE_MAXSIZE="4294967296"
ENV TFHUB_CACHE_DIR="/root/cache/tfhub"
RUN pip install --upgrade pip
RUN apt update -y && apt upgrade -y
RUN pip install transformers
#Installing datasets will throw the error, try commenting and rebuilding
RUN pip install datasets
#Another workaround is creating the directory and give permissions explicitly
#RUN mkdir /.cache
#RUN chmod 777 /.cache
```
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https://api.github.com/repos/huggingface/datasets/issues/1580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1580/comments | https://api.github.com/repos/huggingface/datasets/issues/1580/events | https://github.com/huggingface/datasets/pull/1580 | 768,111,377 | MDExOlB1bGxSZXF1ZXN0NTQwNjQxNDQ3 | 1,580 | made suggested changes in diplomacy_detection.py | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-15T16:49:22 | 2020-12-22T13:43:16 | 2020-12-22T13:43:15 | CONTRIBUTOR | null | This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
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COMET was [presented at EMNLP20](https://www.aclweb.org/anthology/2020.emnlp-main.213/) and it is the highest performing metric, so far, on the WMT19 benchmark.
We also participated in the [WMT20 Metrics shared task ](http://www.statmt.org/wmt20/pdf/2020.wmt-1.101.pdf) where once again COMET was validated as a top-performing metric.
I hope that this metric will help researcher's and industry workers to better validate their MT systems in the future 🤗 !
Cheers,
Ricardo
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There are two problems here:
i) `quote_char' is misspelled, must be `quotechar'
ii) the documentation should mention `quoting' | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-14T17:42:04 | 2020-12-15T15:28:58 | 2020-12-15T15:28:58 | CONTRIBUTOR | null | Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset.
With suggested changes in #1330 | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-14T12:34:52 | 2020-12-15T12:54:07 | 2020-12-15T12:54:06 | MEMBER | null | Make the features of the library clearer. | {
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https://github.com/tmu-nlp/TMU-GFM-Dataset
A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs.
More detail about the creation of the dataset can be found in [Yoshimura et al. (2020)](https://www.aclweb.org/anthology/2020.coling-main.573.pdf). | {
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See https://github.com/facebookresearch/LAMA for more details. | {
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And a thank you note at the end :hugs: | {
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Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_ner | {
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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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} | [] | closed | false | null | [] | null | [] | 2020-12-13T19:33:10 | 2020-12-21T13:55:09 | 2020-12-21T13:55:09 | CONTRIBUTOR | null | Datasets need manual downloads. Have thus created dummy data as well. But pytest on real and dummy data are failing.
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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"could you tell me how I can avoid download, by pre-downloading the data first, put them in a folder so the code does not try to redownload? could you tell me the path to put the downloaded data, and how to do it? thanks\r\n@lhoestq ",
"Does your instance have an internet connection ?\r\n\r\nIf you don't have an ... | 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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} | [] | closed | false | null | [] | null | [] | 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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