jamesLeeeeeee/datasets-github-issues huggingface dataset:
Persian Abstractive/Extractive Text Summarization
Author: m3hrdadfi | Pull request: no | State: closed

Assembling datasets tailored to different tasks and languages is a precious target. This would be great to have this dataset included.

## Adding a Dataset
- **Name:** *pn-summary*
- **Description:** *A well-structured summarization dataset for the Persian language consists of 93,207 records. It is prepared for Abstractive/Extractive tasks (like cnn_dailymail for English). It can also be used in other scopes like Text Generation, Title Generation, and News Category Classification.*
- **Paper:** *https://arxiv.org/abs/2012.11204*
- **Data:** *https://github.com/hooshvare/pn-summary/#download*
- **Motivation:** *It is the first Persian abstractive/extractive Text summarization dataset (like cnn_dailymail for English)!*

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
social_i_qa wrong format of labels
Author: ghost | Pull request: no | State: closed

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?'}

```
SICK dataset 
Author: rabeehk | Pull request: no | State: closed

Hi, this would be great to have this dataset included. I might be missing something, but I could not find it in the list of already included datasets. Thank you. 

## 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).
Adding UKP Argument Aspect Similarity Corpus
Author: rabeehk | Pull request: no | State: closed

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
Cannot download ade_corpus_v2
Author: him1411 | Pull request: no | State: closed

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`
Add CLIMATE-FEVER dataset
Author: tdiggelm | Pull request: yes | State: closed

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
Can't call shape on the output of select()
Author: noaonoszko | Pull request: no | State: closed

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)
Can't filter language:EN on https://huggingface.co/datasets
Author: davidefiocco | Pull request: no | State: closed

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:

![screenshot](https://user-images.githubusercontent.com/4547987/102792244-892e1f00-43a8-11eb-9e89-4826ca201a87.png)
added TurkishMovieSentiment dataset
Author: yavuzKomecoglu | Pull request: yes | State: closed

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/)
Bug: Can't download TriviaQA with `load_dataset` - custom `cache_dir`
Author: SapirWeissbuch | Pull request: no | State: open

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.
shuffle with torch generator 
Author: rabeehkarimimahabadi | Pull request: no | State: closed

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
Not able to use 'jigsaw_toxicity_pred' dataset
Author: jassimran | Pull request: no | State: closed

 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
adding  ted_talks_iwslt
Author: skyprince999 | Pull request: yes | State: closed

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
added Semantic Scholar Open Research Corpus
Author: bhavitvyamalik | Pull request: yes | State: closed

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?
Navigation version breaking
Author: mttk | Pull request: no | State: closed

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: 

![image](https://user-images.githubusercontent.com/3007947/102632187-02cad080-414f-11eb-813b-28f3c8d80def.png)

**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.
Add retries to HTTP requests
Author: SBrandeis | Pull request: yes | State: closed

## 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
AttributeError: 'DatasetDict' object has no attribute 'train_test_split'
Author: david-waterworth | Pull request: no | State: closed

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'
connection error 
Author: rabeehkarimimahabadi | Pull request: no | State: closed

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
```
Access to key in DatasetDict map
Author: ZhaofengWu | Pull request: no | State: closed

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`.
IWSLT-17 Link Broken
Author: ZhaofengWu | Pull request: no | State: closed

```
FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnmted//texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz
```
FileNotFoundError for `amazon_polarity`
Author: phtephanx | Pull request: no | State: closed

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
```
Adding CLIMATE-FEVER dataset
Author: tdiggelm | Pull request: yes | State: closed

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>
Add comet metric
Author: ricardorei | Pull request: yes | State: closed

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
adding tmu-gfm-dataset
Author: forest1988 | Pull request: yes | State: closed

Adding TMU-GFM-Dataset for Grammatical Error Correction.

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).
added air_dialogue
Author: skyprince999 | Pull request: yes | State: closed

UPDATE2 (3797ce5): Updated for multi-configs 

UPDATE (7018082): manually created the dummy_datasets. All tests were cleared locally. Pushed it to origin/master

DRAFT VERSION (57fdb20):  (_no longer draft_)
Uploaded the air_dialogue database. 
dummy_data creation was failing in local, since the original downloaded file has some nested folders. Pushing it since the tests with real data was cleared. Will re-check & update via manually creating some dummy_data