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https://api.github.com/repos/huggingface/datasets/issues/1630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1630/comments | https://api.github.com/repos/huggingface/datasets/issues/1630/events | https://github.com/huggingface/datasets/issues/1630 | 774,332,129 | MDU6SXNzdWU3NzQzMzIxMjk= | 1,630 | Adding UKP Argument Aspect Similarity Corpus | {
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] | closed | false | null | [] | null | 3 | "2020-12-24T11:01:31Z" | "2022-10-05T12:36:12Z" | "2022-10-05T12:36:12Z" | CONTRIBUTOR | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/1629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1629/comments | https://api.github.com/repos/huggingface/datasets/issues/1629/events | https://github.com/huggingface/datasets/pull/1629 | 774,255,716 | MDExOlB1bGxSZXF1ZXN0NTQ1MjAwNTQ3 | 1,629 | add wongnai_reviews test set labels | {
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} | [] | closed | false | null | [] | null | 0 | "2020-12-24T08:02:31Z" | "2020-12-28T17:23:39Z" | "2020-12-28T17:23:39Z" | CONTRIBUTOR | null | 0 | {
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} | - add test set labels provided by @ekapolc
- refactor `star_rating` to a `datasets.features.ClassLabel` field | {
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https://api.github.com/repos/huggingface/datasets/issues/1628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1628/comments | https://api.github.com/repos/huggingface/datasets/issues/1628/events | https://github.com/huggingface/datasets/pull/1628 | 774,091,411 | MDExOlB1bGxSZXF1ZXN0NTQ1MDY5NTAy | 1,628 | made suggested changes to hate-speech-and-offensive-language | {
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} | [] | closed | false | null | [] | null | 0 | "2020-12-23T23:25:32Z" | "2020-12-28T10:11:20Z" | "2020-12-28T10:11:20Z" | CONTRIBUTOR | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1627/comments | https://api.github.com/repos/huggingface/datasets/issues/1627/events | https://github.com/huggingface/datasets/issues/1627 | 773,960,255 | MDU6SXNzdWU3NzM5NjAyNTU= | 1,627 | `Dataset.map` disable progress bar | {
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} | [] | closed | false | null | [] | null | 2 | "2020-12-23T17:53:42Z" | "2023-02-08T02:37:47Z" | "2020-12-26T19:57:17Z" | NONE | null | null | 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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} | [] | closed | false | null | [] | null | 0 | "2020-12-23T14:33:36Z" | "2021-01-04T10:00:04Z" | "2021-01-04T10:00:03Z" | MEMBER | null | 0 | {
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} | Fix #1610
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 | 0 | "2020-12-23T13:33:21Z" | "2021-01-02T23:22:52Z" | "2020-12-23T14:13:13Z" | CONTRIBUTOR | null | 0 | {
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} | 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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} | [] | closed | false | null | [] | null | 2 | "2020-12-23T10:58:14Z" | "2021-08-03T05:08:54Z" | "2021-08-03T05:08:54Z" | NONE | null | null | 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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} | 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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} | [] | closed | false | null | [] | null | 2 | "2020-12-22T13:18:40Z" | "2020-12-23T13:37:13Z" | "2020-12-23T13:37:12Z" | CONTRIBUTOR | null | null | 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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} | [] | closed | false | null | [] | null | 0 | "2020-12-22T13:18:11Z" | "2020-12-23T11:51:51Z" | "2020-12-23T11:51:51Z" | CONTRIBUTOR | null | 0 | {
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} | 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/1619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1619/comments | https://api.github.com/repos/huggingface/datasets/issues/1619/events | https://github.com/huggingface/datasets/pull/1619 | 772,508,558 | MDExOlB1bGxSZXF1ZXN0NTQzNzYyMTUw | 1,619 | data loader for reading comprehension task | {
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} | [] | closed | false | null | [] | null | 2 | "2020-12-21T22:40:34Z" | "2020-12-28T10:32:53Z" | "2020-12-28T10:32:53Z" | CONTRIBUTOR | null | 0 | {
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} | added doc2dial data loader and dummy data for reading comprehension task. | {
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https://api.github.com/repos/huggingface/datasets/issues/1618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1618/comments | https://api.github.com/repos/huggingface/datasets/issues/1618/events | https://github.com/huggingface/datasets/issues/1618 | 772,248,730 | MDU6SXNzdWU3NzIyNDg3MzA= | 1,618 | Can't filter language:EN on https://huggingface.co/datasets | {
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} | [] | closed | false | null | [] | null | 3 | "2020-12-21T15:23:23Z" | "2020-12-22T17:17:00Z" | "2020-12-22T17:16:09Z" | NONE | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/1617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1617/comments | https://api.github.com/repos/huggingface/datasets/issues/1617/events | https://github.com/huggingface/datasets/pull/1617 | 772,084,764 | MDExOlB1bGxSZXF1ZXN0NTQzNDE5MTM5 | 1,617 | cifar10 initial commit | {
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} | [] | closed | false | null | [] | null | 1 | "2020-12-21T11:03:16Z" | "2020-12-24T07:08:41Z" | "2020-12-23T16:50:06Z" | CONTRIBUTOR | null | 0 | {
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} | 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/1615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1615/comments | https://api.github.com/repos/huggingface/datasets/issues/1615/events | https://github.com/huggingface/datasets/issues/1615 | 771,641,088 | MDU6SXNzdWU3NzE2NDEwODg= | 1,615 | Bug: Can't download TriviaQA with `load_dataset` - custom `cache_dir` | {
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} | [] | open | false | null | [] | null | 10 | "2020-12-20T17:27:38Z" | "2021-06-25T13:11:33Z" | null | NONE | null | null | null | Hello,
I'm having issue downloading TriviaQA dataset with `load_dataset`.
## Environment info
- `datasets` version: 1.1.3
- Platform: Linux-4.19.129-aufs-1-x86_64-with-debian-10.1
- Python version: 3.7.3
## The code I'm running:
```python
import datasets
dataset = datasets.load_dataset("trivia_qa", "rc", cache_dir = "./datasets")
```
## The output:
1. Download begins:
```
Downloading and preparing dataset trivia_qa/rc (download: 2.48 GiB, generated: 14.92 GiB, post-processed: Unknown size, total: 17.40 GiB) to /cs/labs/gabis/sapirweissbuch/tr
ivia_qa/rc/1.1.0/e734e28133f4d9a353af322aa52b9f266f6f27cbf2f072690a1694e577546b0d...
Downloading: 17%|███████████████████▉ | 446M/2.67G [00:37<04:45, 7.77MB/s]
```
2. 100% is reached
3. It got stuck here for about an hour, and added additional 30G of data to "./datasets" directory. I killed the process eventually.
A similar issue can be observed in Google Colab:
https://colab.research.google.com/drive/1nn1Lw02GhfGFylzbS2j6yksGjPo7kkN-?usp=sharing
## Expected behaviour:
The dataset "TriviaQA" should be successfully downloaded.
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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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https://api.github.com/repos/huggingface/datasets/issues/1612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1612/comments | https://api.github.com/repos/huggingface/datasets/issues/1612/events | https://github.com/huggingface/datasets/pull/1612 | 771,558,160 | MDExOlB1bGxSZXF1ZXN0NTQzMDQ3NjQ1 | 1,612 | Adding wiki asp dataset as new PR | {
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} | [] | closed | false | null | [] | null | 0 | "2020-12-20T10:25:08Z" | "2020-12-21T14:13:33Z" | "2020-12-21T14:13:33Z" | CONTRIBUTOR | null | 0 | {
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} | 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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https://api.github.com/repos/huggingface/datasets/issues/1611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1611/comments | https://api.github.com/repos/huggingface/datasets/issues/1611/events | https://github.com/huggingface/datasets/issues/1611 | 771,486,456 | MDU6SXNzdWU3NzE0ODY0NTY= | 1,611 | shuffle with torch generator | {
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] | closed | false | null | [] | null | 8 | "2020-12-20T00:57:14Z" | "2022-06-01T15:30:13Z" | "2022-06-01T15:30:13Z" | NONE | null | null | 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
@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1610/comments | https://api.github.com/repos/huggingface/datasets/issues/1610/events | https://github.com/huggingface/datasets/issues/1610 | 771,453,599 | MDU6SXNzdWU3NzE0NTM1OTk= | 1,610 | shuffle does not accept seed | {
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] | closed | false | null | [] | null | 3 | "2020-12-19T20:59:39Z" | "2021-01-04T10:00:03Z" | "2021-01-04T10:00:03Z" | CONTRIBUTOR | null | null | 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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} | [] | closed | false | null | [] | null | 2 | "2020-12-19T17:35:48Z" | "2020-12-22T16:42:24Z" | "2020-12-22T16:42:23Z" | NONE | null | null | 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 )
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} | UPDATE2: (2nd Jan) Wrote a long writeup on the slack channel. I don't think this approach is correct. Basically this created language pairs (109*108)
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/1607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1607/comments | https://api.github.com/repos/huggingface/datasets/issues/1607/events | https://github.com/huggingface/datasets/pull/1607 | 771,325,852 | MDExOlB1bGxSZXF1ZXN0NTQyODg5OTky | 1,607 | modified tweets hate speech detection | {
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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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} | 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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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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} | ## 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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} | The feature "url" is currently set wrongly to data["date"], this PR fix it to data["url"].
I added also an additional POC. | {
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I added also an additional POC. | {
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```
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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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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"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
}
] | closed | false | null | [] | null | 2 | "2020-12-17T00:46:42Z" | "2020-12-18T08:06:36Z" | "2020-12-18T08:05:28Z" | NONE | null | null | 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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} | description added, unnecessary comments removed from .py and readme.md reformated
@lhoestq for #1584 | {
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} | [] | closed | false | null | [] | null | 1 | "2020-12-16T14:22:08Z" | "2020-12-17T16:07:10Z" | "2020-12-17T16:07:10Z" | CONTRIBUTOR | null | 0 | {
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} | this is pr is a copy of #1506 due to messed up git history in that pr. | {
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} | added irc disentanglement dataset | {
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### 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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} | reformated well documented, yaml tags added, code | {
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} | #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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} | Adding the dataset as new branch as advised here: #1470
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} | [] | closed | false | null | [] | null | 5 | "2020-12-16T00:02:21Z" | "2021-06-17T15:40:45Z" | "2021-06-17T15:40:45Z" | NONE | null | null | 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/1579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1579/comments | https://api.github.com/repos/huggingface/datasets/issues/1579/events | https://github.com/huggingface/datasets/pull/1579 | 767,808,465 | MDExOlB1bGxSZXF1ZXN0NTQwMzk5OTY5 | 1,579 | Adding CLIMATE-FEVER dataset | {
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} | [] | closed | false | null | [] | null | 5 | "2020-12-15T16:49:22Z" | "2020-12-22T13:43:16Z" | "2020-12-22T13:43:15Z" | CONTRIBUTOR | null | 0 | {
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} | 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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} | Hey! I decided to add our new Crosslingual Optimized Metric for Evaluation of Translation (COMET) to the list of the available metrics.
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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} | This introduces a few changes to the Knowledge Intensive Learning task benchmark to bring it more in line with our current datasets, including adding the (minimal) dataset card and having one config per sub-task | {
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} | Documentation for loading CSV datasets misleads the user into thinking setting `quote_char' to False will disable quoting.
There are two problems here:
i) `quote_char' is misspelled, must be `quotechar'
ii) the documentation should mention `quoting' | {
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} | Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset.
With suggested changes in #1330 | {
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} | There was a problem with my [previous PR 1445](https://github.com/huggingface/datasets/pull/1445) after rebasing, so I'm copying the dataset code into a new branch and submitting a new PR. | {
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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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} | 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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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 | "2020-12-13T14:27:00Z" | "2022-10-05T12:33:29Z" | "2022-10-05T12:33:29Z" | NONE | 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 | "2020-12-13T12:43:33Z" | "2020-12-18T10:09:01Z" | "2020-12-18T10:09:01Z" | CONTRIBUTOR | 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:[email protected]) / @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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} | [] | closed | false | null | [] | null | 3 | "2020-12-13T12:18:34Z" | "2020-12-22T10:16:01Z" | "2020-12-22T10:16:01Z" | CONTRIBUTOR | null | 0 | {
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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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} | [] | closed | false | null | [] | null | 3 | "2020-12-13T07:37:53Z" | "2020-12-21T15:54:28Z" | "2020-12-21T15:54:27Z" | CONTRIBUTOR | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1537/comments | https://api.github.com/repos/huggingface/datasets/issues/1537/events | https://github.com/huggingface/datasets/pull/1537 | 765,095,210 | MDExOlB1bGxSZXF1ZXN0NTM4ODY1NzIz | 1,537 | added ohsumed | {
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} | [] | closed | false | null | [] | null | 0 | "2020-12-13T06:58:23Z" | "2020-12-17T18:28:16Z" | "2020-12-17T18:28:16Z" | CONTRIBUTOR | null | 0 | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1536/comments | https://api.github.com/repos/huggingface/datasets/issues/1536/events | https://github.com/huggingface/datasets/pull/1536 | 765,043,121 | MDExOlB1bGxSZXF1ZXN0NTM4ODM2MDM3 | 1,536 | Add Hippocorpus Dataset | {
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} | [] | closed | false | null | [] | null | 2 | "2020-12-13T06:13:02Z" | "2020-12-15T13:41:17Z" | "2020-12-15T13:40:11Z" | CONTRIBUTOR | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1535/comments | https://api.github.com/repos/huggingface/datasets/issues/1535/events | https://github.com/huggingface/datasets/pull/1535 | 764,977,542 | MDExOlB1bGxSZXF1ZXN0NTM4ODAwMDUw | 1,535 | Adding Igbo monolingual dataset | {
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} | [] | closed | false | null | [] | null | 1 | "2020-12-13T05:16:37Z" | "2020-12-21T14:39:49Z" | "2020-12-21T14:39:49Z" | CONTRIBUTOR | null | 0 | {
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} | This PR adds the Igbo Monolingual dataset.
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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