SurAyush/github_issues huggingface dataset:
Issue: SciELO dataset ConnectionError
State: closed
Author: WojciechKusa

## Describe the bug
I get `ConnectionError` when I am trying to load the SciELO dataset. 


When I try the URL with `requests` I get:
```
>>> requests.head("https://ndownloader.figstatic.com/files/14019287")
<Response [302]>
```
And as far as I understand redirections in `datasets` are not supported for downloads. 
https://github.com/huggingface/datasets/blob/807341d0db0728073ab605c812c67f927d148f38/datasets/scielo/scielo.py#L45 



## Steps to reproduce the bug
```python
from datasets import load_dataset

dataset = load_dataset("scielo", "en-es")
```

## Expected results
Download SciELO dataset and load Dataset object


## Actual results

```
Downloading and preparing dataset scielo/en-es (download: 21.90 MiB, generated: 68.45 MiB, post-processed: Unknown size, total: 90.35 MiB) to /Users/test/.cache/huggingface/datasets/scielo/en-es/1.0.0/7e05d55a20257efeb9925ff5de65bd4884fc6ddb6d765f1ea3e8860449d90e0e...
Traceback (most recent call last):
  File "scielo.py", line 3, in <module>
    dataset = load_dataset("scielo", "en-es")
  File "../lib/python3.8/site-packages/datasets/load.py", line 1632, in load_dataset
    builder_instance.download_and_prepare(
  File "../lib/python3.8/site-packages/datasets/builder.py", line 607, in download_and_prepare
    self._download_and_prepare(
  File "../lib/python3.8/site-packages/datasets/builder.py", line 675, in _download_and_prepare
    split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
  File "/Users/test/.cache/huggingface/modules/datasets_modules/datasets/scielo/7e05d55a20257efeb9925ff5de65bd4884fc6ddb6d765f1ea3e8860449d90e0e/scielo.py", line 77, in _split_generators
    data_dir = dl_manager.download_and_extract(_URLS[self.config.name])
  File "../lib/python3.8/site-packages/datasets/utils/download_manager.py", line 284, in download_and_extract
    return self.extract(self.download(url_or_urls))
  File "../lib/python3.8/site-packages/datasets/utils/download_manager.py", line 196, in download
    downloaded_path_or_paths = map_nested(
  File "../lib/python3.8/site-packages/datasets/utils/py_utils.py", line 206, in map_nested
    return function(data_struct)
  File "../lib/python3.8/site-packages/datasets/utils/download_manager.py", line 217, in _download
    return cached_path(url_or_filename, download_config=download_config)
  File "../lib/python3.8/site-packages/datasets/utils/file_utils.py", line 295, in cached_path
    output_path = get_from_cache(
  File "../lib/python3.8/site-packages/datasets/utils/file_utils.py", line 594, in get_from_cache
    raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://ndownloader.figstatic.com/files/14019287

```


## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.15.1
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.12
- PyArrow version: 6.0.0


Comments:
Issue: Update xcopa dataset (fix checksum issues + add translated data)
State: closed
Author: mariosasko

This PR updates the checksums (as reported [here](https://discuss.huggingface.co/t/how-to-load-dataset-locally/11601/2)) of the `xcopa` dataset. Additionally, it adds new configs that hold the translated data of the original set of configs. This data was not available at the time of adding this dataset to the lib.

Comments:
The CI failures are unrelated to the changes (missing fields in the readme and the CER metric error fixed in #3252).
Issue: `GeneratorBasedBuilder` does not support `None` values
State: closed
Author: pavel-lexyr

## Describe the bug
`GeneratorBasedBuilder` does not support `None` values.

## Steps to reproduce the bug
See [this repository](https://github.com/pavel-lexyr/huggingface-datasets-bug-reproduction) for minimal reproduction.

## Expected results
Dataset is initialized with a `None` value in the `value` column.

## Actual results
```
Traceback (most recent call last):
  File "main.py", line 3, in <module>
    datasets.load_dataset("./bad-data")
  File ".../datasets/load.py", line 1632, in load_dataset
    builder_instance.download_and_prepare(
  File ".../datasets/builder.py", line 607, in download_and_prepare
    self._download_and_prepare(
  File ".../datasets/builder.py", line 697, in _download_and_prepare
    self._prepare_split(split_generator, **prepare_split_kwargs)
  File ".../datasets/builder.py", line 1103, in _prepare_split
    example = self.info.features.encode_example(record)
  File ".../datasets/features/features.py", line 1033, in encode_example
    return encode_nested_example(self, example)
  File ".../datasets/features/features.py", line 808, in encode_nested_example
    return {
  File ".../datasets/features/features.py", line 809, in <dictcomp>
    k: encode_nested_example(sub_schema, sub_obj) for k, (sub_schema, sub_obj) in utils.zip_dict(schema, obj)
  File ".../datasets/features/features.py", line 855, in encode_nested_example
    return schema.encode_example(obj)
  File ".../datasets/features/features.py", line 299, in encode_example
    return float(value)
TypeError: float() argument must be a string or a number, not 'NoneType'
```

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.15.1
- Platform: Linux-5.4.0-81-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyArrow version: 6.0.0

Comments:
Hi,

thanks for reporting and providing a minimal reproducible example. 

This line of the PR I've linked in our discussion on the Forum will add support for `None` values:
https://github.com/huggingface/datasets/blob/a53de01842aac65c66a49b2439e18fa93ff73ceb/src/datasets/features/features.py#L835

I expect that PR to be merged soon.
Issue: Fix failing CER metric test in CI after update
State: closed
Author: mariosasko

Fixes the [failing CER metric test](https://app.circleci.com/pipelines/github/huggingface/datasets/8644/workflows/79816553-fa2f-4756-b022-d5937f00bf7b/jobs/53298) in CI by adding support for `jiwer==2.3.0`, which was released yesterday. Also, I verified that all the tests in `metrics/cer/test_cer.py` pass after the change, so the results should be the same irrespective of the `jiwer` version.

Comments:
Issue: Add ETHICS dataset
State: closed
Author: ssss1029

This PR adds the ETHICS dataset, including all 5 sub-datasets.
From https://arxiv.org/abs/2008.02275

Comments:
Thanks for your contribution, @ssss1029. Are you still interested in adding this dataset?

We are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets

We would suggest you create this dataset there. Please, feel free to tell us if you need some help.
Issue: Stream from Google Drive and other hosts
State: closed
Author: lhoestq

Streaming from Google Drive is a bit more challenging than the other host we've been supporting:
- the download URL must be updated to add the confirm token obtained by HEAD request
- it requires to use cookies to keep the connection alive
- the URL doesn't tell any information about whether the file is compressed or not

Therefore I did two things:
- I added a step for URL and headers/cookies preparation in the StreamingDownloadManager
- I added automatic compression type inference by reading the [magic number](https://en.wikipedia.org/wiki/List_of_file_signatures)

This allows to do do fancy things like
```python
from datasets.utils.streaming_download_manager import StreamingDownloadManager, xopen, xjoin, xglob

# zip file containing a train.tsv file
url = "https://drive.google.com/uc?export=download&id=1k92sUfpHxKq8PXWRr7Y5aNHXwOCNUmqh"

extracted = StreamingDownloadManager().download_and_extract(url)
for inner_file in xglob(xjoin(extracted, "*.tsv")):
    with xopen(inner_file) as f:
        # streaming starts here
        for line in f:
            print(line)
```

This should make around 80 datasets streamable. It concerns those hosted on Google Drive but also any dataset for which the URL doesn't give any information about compression. Here is the full list:

```
amazon_polarity, ami, arabic_billion_words, ascent_kb, asset, big_patent, billsum, capes, cmrc2018, cnn_dailymail,
code_x_glue_cc_code_completion_token, code_x_glue_cc_code_refinement, code_x_glue_cc_code_to_code_trans,
code_x_glue_tt_text_to_text, conll2002, craigslist_bargains, dbpedia_14, docred, ehealth_kd, emo, euronews, germeval_14,
gigaword, grail_qa, great_code, has_part, head_qa, health_fact, hope_edi, id_newspapers_2018,
igbo_english_machine_translation, irc_disentangle, jfleg, jnlpba, journalists_questions, kor_ner, linnaeus, med_hop, mrqa,
mt_eng_vietnamese, multi_news, norwegian_ner, offcombr, offenseval_dravidian, para_pat, peoples_daily_ner, pn_summary,
poleval2019_mt, pubmed_qa, qangaroo, reddit_tifu, refresd, ro_sts_parallel, russian_super_glue, samsum, sberquad, scielo,
search_qa, species_800, spider, squad_adversarial, tamilmixsentiment, tashkeela, ted_talks_iwslt, trec, turk, turkish_ner,
twi_text_c3, universal_morphologies, web_of_science, weibo_ner, wiki_bio, wiki_hop, wiki_lingua, wiki_summary, wili_2018,
wisesight1000, wnut_17, yahoo_answers_topics, yelp_review_full, yoruba_text_c3
```

Some of them may not work if the host doesn't support HTTP range requests for example

Fix https://github.com/huggingface/datasets/issues/2742
Fix https://github.com/huggingface/datasets/issues/3188

Comments:
I just tried some datasets and noticed that `spider` is not working for some reason (the compression type is not recognized), resulting in FileNotFoundError. I can take a look tomorrow

I'm fixing the remaining files based on TAR archives

THANKS A LOT
Issue: Fix load_from_disk temporary directory
State: closed
Author: lhoestq

`load_from_disk` uses `tempfile.TemporaryDirectory()` instead of our `get_temporary_cache_files_directory()` function. This can cause the temporary directory to be deleted before the dataset object is garbage collected.

In practice, it prevents anyone from using methods like `shuffle` on a dataset loaded this way, because it can't write the shuffled indices in a directory that doesn't exist anymore.

In this PR I switch to using `get_temporary_cache_files_directory()` and I update the tests.

cc @mariosasko since you worked on `get_temporary_cache_files_directory()`

Comments:
Issue: Remove redundant isort module placement
State: closed
Author: mariosasko

`isort` can place modules by itself from [version 5.0.0](https://pycqa.github.io/isort/docs/upgrade_guides/5.0.0.html#module-placement-changes-known_third_party-known_first_party-default_section-etc) onwards, making the `known_first_party` and `known_third_party` fields in `setup.cfg` redundant (this is why our CI works, even though we haven't touched these options in a while).

Comments:
Issue: Adding ANERcorp-CAMeLLab dataset
State: open
Author: vitalyshalumov


Comments:
Adding ANERcorp dataset

## Adding a Dataset
- **Name:** *ANERcorp-CAMeLLab*
- **Description:** *Since its creation in 2008, the ANERcorp dataset (Benajiba & Rosso, 2008) has been a standard reference used by Arabic named entity recognition researchers around the world. However, over time, this dataset was copied over from user to user, modified slightly here and there, and split in many different configurations that made it hard to compare fairly across papers and systems.

In 2020, a group of researchers from CAMeL Lab (Habash, Alhafni and Oudah), and Mind Lab (Antoun and Baly) met with the creator of the corpus, Yassine Benajiba, to consult with him and collectively agree on an exact split, and accepted minor corrections from the original dataset. Bashar Alhafni from CAMeL Lab working with Nizar Habash implemented the decisions provided in this release.*

- **Paper:** *(a) Benajiba, Yassine, Paolo Rosso, and José Miguel Benedí Ruiz. "Anersys: An Arabic named entity recognition system based on maximum entropy." In International Conference on Intelligent Text Processing and Computational Linguistics, pp. 143-153. Springer, Berlin, Heidelberg, 2007.

(b)Ossama Obeid, Nasser Zalmout, Salam Khalifa, Dima Taji, Mai Oudah, Bashar Alhafni, Go Inoue, Fadhl Eryani, Alexander Erdmann, and Nizar Habash. "CAMeL Tools: An Open Source Python Toolkit, for Arabic Natural Language Processing." In Proceedings of the Conference on Language Resources and Evaluation (LREC 2020), Marseille, 2020.*
- **Data:** *https://camel.abudhabi.nyu.edu/anercorp/*
- **Motivation:** This is the standard dataset for evaluating NER performance in Arabic*

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
Issue: Couldn't reach data file for disaster_response_messages
State: closed
Author: pandya6988

## Describe the bug
Following command gives an ConnectionError.

## Steps to reproduce the bug
```python
disaster = load_dataset('disaster_response_messages')
```

## Error
```
ConnectionError: Couldn't reach https://datasets.appen.com/appen_datasets/disaster_response_data/disaster_response_messages_training.csv
```
## Expected results
It should load dataset without an error

## Actual results
Specify the actual results or traceback.

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version:
- Platform: Google Colab
- Python version: 3.7
- PyArrow version: 


Comments:
It looks like the dataset isn't available anymore on appen.com

The CSV files appear to still be available at https://www.kaggle.com/landlord/multilingual-disaster-response-messages though. It says that the data are under the CC0 license so I guess we can host the dataset elsewhere instead ?
Issue: Reuters21578 Couldn't reach 
State: closed
Author: TingNLP

``## Adding a Dataset
- **Name:** *Reuters21578*
- **Description:** *ConnectionError: Couldn't reach https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz*
- **Data:** *https://huggingface.co/datasets/reuters21578*

`from datasets import load_dataset`
`dataset = load_dataset("reuters21578", 'ModLewis')`

ConnectionError: Couldn't reach https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz

And I try to request the link as follow:
`import requests`
`requests.head('https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz')`

SSLError: HTTPSConnectionPool(host='kdd.ics.uci.edu', port=443): Max retries exceeded with url: /databases/reuters21578/reuters21578.tar.gz (Caused by SSLError(SSLError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)'),))

This problem likes #575
What should I do ?


Comments:
Hi ! The URL works fine on my side today, could you try again ?

thank you @lhoestq 
it works
Issue: wikitext description wrong
State: closed
Author: hongyuanmei

## Describe the bug
Descriptions of the wikitext datasests are wrong. 

## Steps to reproduce the bug
Please see: https://github.com/huggingface/datasets/blob/f6dcafce996f39b6a4bbe3a9833287346f4a4b68/datasets/wikitext/wikitext.py#L50

## Expected results
The descriptions for raw-v1 and v1 should be switched. 

Comments:
Hi @hongyuanmei, thanks for reporting.

I'm fixing it.

Duplicate of:
- #795
Issue: Addd options to use updated bleurt checkpoints
State: closed
Author: jaehlee

Adds options to use newer recommended checkpoint (as of 2021/10/8) bleurt-20 and its distilled versions. 

Updated checkpoints are described in https://github.com/google-research/bleurt/blob/master/checkpoints.md#the-recommended-checkpoint-bleurt-20

This change won't affect the default behavior of metrics/bleurt. It only adds option to load newer checkpoints as

`datasets.load_metric('bleurt', 'bleurt-20')`

`bluert-20` generates scores roughly between 0 and 1, which wasn't the case for the previous checkpoints. 

Comments:
Issue: Avoid PyArrow type optimization if it fails
State: closed
Author: mariosasko

Adds a new variable, `DISABLE_PYARROW_TYPES_OPTIMIZATION`, to `config.py` for easier control of the Arrow type optimization.

Fix #2206  

Comments:
That's good to have a way to disable this easily :)
I just find it a bit unfortunate that users would have to experience the error once and then do `DISABLE_PYARROW_TYPES_OPTIMIZATION=1`. Do you know if there's a way to simply fallback on disabling it automatically when it fails ?

@lhoestq Actually, I agree a fallback makes more sense. The current approach is not very practical indeed and would require a mention in the docs.


Replaced the env variable with a fallback!

Hmm if the fallback automatically happens without the user knowing it, then I don't think we really need to mention it. But if you really wanted to, I think the [Improve performance](https://huggingface.co/docs/datasets/cache.html#improve-performance) section would be a great place for it! 

Yea I think this could just end up in a note that says that `datasets` automatically picks the most optimized integer precision for your tokenized text data to save you disk space. Maybe later if we have a page on text processing we can add this note, but for now I agree it doesn't fit well into the doc.

In particular in the "Improve performance" section we mention what users can do to speed up their computations, while this behavior is just some internal feature that users don't have control over anyway.
Issue: The Xsum datasets seems not able to download.
State: closed
Author: FYYFU

## Describe the bug
The download Link of the Xsum dataset provided in the repository is [Link](http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz). It seems not able to download.

## Steps to reproduce the bug
```python
load_dataset('xsum')
```


## Actual results
``` python
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz
```



Comments:
Hi ! On my side the URL is working fine, could you try again ?

> Hi ! On my side the URL is working fine, could you try again ?

I try it again and cannot download the file (might because of my location). Could you please provide another download link(such as google drive)?   :>

I don't know other download links - this is the one provided by the authors of the dataset. Maybe you can try downloading from another location ? There are several solutions: a VPN, a remote VM or Google Colab for example.

> I don't know other download links - this is the one provided by the authors of the dataset. Maybe you can try downloading from another location ? There are several solutions: a VPN, a remote VM or Google Colab for example.

:> ok. Thanks for your reply.
Issue: Add full tagset to conll2003 README
State: closed
Author: BramVanroy

Even though it is possible to manually get the tagset list with

```python
dset.features[field_name].feature.names
```

I think it is useful to have an overview of the used tagset on the dataset card. This is particularly useful in light of the **dataset viewer**: the tags are encoded, so it is not immediately obvious what they are for a given sample. Adding a label-int mapping should make it easier for visitors to get a grasp of what they mean.

From user-experience perspective, I would urge the full tagsets to always be available in the README's but I understand that that would take a lot of work, probably. Perhaps it can be automated?

closes #3189 

Comments:
I also added the missing `pretty_name` tag in the dataset card to fix the CI
Issue: Fix URL in CITATION file
State: closed
Author: albertvillanova

Currently the BibTeX citation parsed from the CITATION file has wrong URL (it shows the repo URL instead of the proceedings paper URL):
```
@inproceedings{Lhoest_Datasets_A_Community_2021,
author = {Lhoest, Quentin and Villanova del Moral, Albert and von Platen, Patrick and Wolf, Thomas and Šaško, Mario and Jernite, Yacine and Thakur, Abhishek and Tunstall, Lewis and Patil, Suraj and Drame, Mariama and Chaumond, Julien and Plu, Julien and Davison, Joe and Brandeis, Simon and Sanh, Victor and Le Scao, Teven and Canwen Xu, Kevin and Patry, Nicolas and Liu, Steven and McMillan-Major, Angelina and Schmid, Philipp and Gugger, Sylvain and Raw, Nathan and Lesage, Sylvain and Lozhkov, Anton and Carrigan, Matthew and Matussière, Théo and von Werra, Leandro and Debut, Lysandre and Bekman, Stas and Delangue, Clément},
booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
month = {11},
pages = {175--184},
publisher = {Association for Computational Linguistics},
title = {{Datasets: A Community Library for Natural Language Processing}},
url = {https://github.com/huggingface/datasets},
year = {2021}
}
```

Comments:
Issue: Update tatoeba to v2021-07-22
State: closed
Author: KoichiYasuoka

Tatoeba's latest version is v2021-07-22

Comments:
How about this? @lhoestq @abhishekkrthakur 

Hi ! I think it would be nice if people could still be able to load the old version.
Maybe this can be a parameter ? For example to load the old version they could do
```python
load_dataset("tatoeba", lang1="en", lang2="mr", date="v2020-11-09")
```

If it sounds good to you, we can add this parameter to the TatoebaConfig:
```python
class TatoebaConfig(datasets.BuilderConfig):
    def __init__(self, *args, lang1=None, lang2=None, date="v2021-07-22", **kwargs):
    self.date = date
```
and then pass the date to the URL
```python
_BASE_URL = "https://object.pouta.csc.fi/OPUS-Tatoeba/{}/moses/{}-{}.txt.zip"
```
```python
        def _base_url(lang1, lang2, date):
            return _BASE_URL.format(date, lang1, lang2)
```

What do you think ?

`_DATE = "v" + "-".join(s.zfill(2) for s in _VERSION.split("."))` seems rather tricky but works well. How about this? @lhoestq 


The CI is only failing because of the missing sections in the dataset card, and because of an issue with the CER metric that is unrelated to this PR
Issue: Add docs for audio processing
State: closed
Author: stevhliu

This PR adds documentation for the `Audio` feature. It describes:

- The difference between loading `path` and `audio`, as well as use-cases/best practices for each of them.
- Resampling audio files with `cast_column`, and then calling `ds[0]["audio"]` to automatically decode and resample to the desired sampling rate.
- Resampling with `map`.

Preview [here](https://52969-250213286-gh.circle-artifacts.com/0/docs/_build/html/audio_process.html), let me know if I'm missing anything!

Comments:
Nice ! love it this way. I guess you can set this PR to "ready for review" ?

I guess we can merge this one now :)
Issue: Add documentation about dataset viewer feature
State: open
Author: albertvillanova

Add to the docs more details about the dataset viewer feature in the Hub.

CC: @julien-c 


Comments:
In particular, include this somewhere in the docs: https://huggingface.co/docs/hub/datasets-viewer#access-the-parquet-files

See https://github.com/huggingface/hub-docs/issues/563