rIsHu009/github-issues-updated huggingface dataset:
Title: Unable to resolve any data file after loading once
Author: LzyFischer (NONE)
State: closed
Created: 2021-12-14T15:02:15Z

when I rerun my program, it occurs this error
" Unable to resolve any data file that matches '['**train*']' at /data2/whr/lzy/open_domain_data/retrieval/wiki_dpr with any supported extension ['csv', 'tsv', 'json', 'jsonl', 'parquet', 'txt', 'zip']", so how could i deal with this problem?
thx.
And below is my code .
![image](https://user-images.githubusercontent.com/84694183/146023446-d75fdec8-65c1-484f-80d8-6c20ff5e994b.png)

Comments:
Hi ! `load_dataset` accepts as input either a local dataset directory or a dataset name from the Hugging Face Hub.

So here you are getting this error the second time because it tries to load the local `wiki_dpr` directory, instead of `wiki_dpr` from the Hub. It doesn't work since it's a **cache** directory, not a **dataset** directory in itself.

To fix that you can use another cache directory like `cache_dir="/data2/whr/lzy/open_domain_data/retrieval/cache"`

thx a lot
Title: Make cast cacheable (again) on Windows
Author: mariosasko (COLLABORATOR)
State: closed
Created: 2021-12-13T19:32:02Z

`cast` currently emits the following warning when called on Windows:
```
Parameter 'function'=<function Dataset.cast.<locals>.<lambda> at 0x000001C930571EA0> of the transform datasets.arrow_dataset.Dataset._map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting 
and caching to work. If you reuse this transform, the caching mechanism will consider it to be different 
from the previous calls and recompute everything. This warning is only showed once. Subsequent hashing failures won't be showed.
```

It seems like the issue stems from the `config.PYARROW_VERSION` object not being serializable on Windows (tested with `dumps(lambda: config.PYARROW_VERSION)`), so I'm fixing this by capturing `config.PYARROW_VERSION.major` before the lambda definition.

Comments:
Title: Getting configs names takes too long
Author: severo (COLLABORATOR)
State: open
Created: 2021-12-13T14:27:57Z
Labels: bug

## Steps to reproduce the bug
```python
from datasets import get_dataset_config_names
get_dataset_config_names("allenai/c4")
```

## Expected results

I would expect to get the answer quickly, at least in less than 10s

## Actual results

It takes about 45s on my environment

## Environment info

- `datasets` version: 1.16.1
- Platform: Linux-5.11.0-1022-aws-x86_64-with-glibc2.31
- Python version: 3.9.6
- PyArrow version: 4.0.1

Comments:
maybe related to https://github.com/huggingface/datasets/issues/2859


It looks like it's currently calling `HfFileSystem.ls()` ~8 times at the root and for each subdirectory:
- ""
- "en.noblocklist"
- "en.noclean"
- "en"
- "multilingual"
- "realnewslike"

Currently `ls` is slow because it iterates on all the files inside the repository.

An easy optimization would be to cache the result of each call to `ls`.
We can also optimize `ls` by using a tree structure per directory instead of a list of all the files.


ok
Title: Add RedCaps dataset
Author: mariosasko (COLLABORATOR)
State: closed
Created: 2021-12-13T13:38:13Z

Add the RedCaps dataset. I'm not adding the generated `dataset_infos.json` file for now due to its size (11 MB). 

TODOs:
- [x] dummy data
- [x] dataset card

Close #3316

Comments:
Cool ! If you want you can include `dataset_infos.json` but only for the main configurations. That's what we do for example for translation datasets when there are too many configs

@lhoestq I've added an example that uses `map` to download the images.
Title: Error about load_metric
Author: jiacheng-ye (NONE)
State: closed
Created: 2021-12-13T02:49:51Z
Labels: bug

## Describe the bug
  File "/opt/conda/lib/python3.8/site-packages/datasets/load.py", line 1371, in load_metric
    metric = metric_cls(
TypeError: 'NoneType' object is not callable

## Steps to reproduce the bug
```python
metric = load_metric("glue", "sst2")
```


## Environment info
- `datasets` version: 1.16.1
- Platform: Linux-4.15.0-161-generic-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyArrow version: 6.0.1

Comments:
Hi ! I wasn't able to reproduce your error.

Can you try to clear your cache at `~/.cache/huggingface/modules` and try again ?
Title: Adding mMARCO dataset
Author: lhbonifacio (NONE)
State: closed
Created: 2021-12-13T00:56:43Z
Labels: dataset contribution

Adding mMARCO (v1.1) to HF datasets.

Comments:
Hi @albertvillanova we've made a major overhaul of the loading script including all configurations we're making available. Could you please review it again?

@albertvillanova :ping_pong: 

Thanks @lhbonifacio for adding this dataset.
Hi there, i got an error about mmarco:
ConnectionError: Couldn't reach 'unicamp-dl/mmarco' on the Hub (ConnectionError)
code:
`from datasets import list_datasets, load_dataset
dataset = load_dataset('unicamp-dl/mmarco', language='portuguese')`

Any help will be appreciated!

Hi @catqaq, we updated the loading script. Now you can load the datasets with:

```python
dataset = load_dataset('unicamp-dl/mmarco', 'portuguese')
```

You can check the list of supported languages and usage examples in [this link](https://huggingface.co/datasets/unicamp-dl/mmarco). Feel free to contact us if you have any issues.




> 



> Hi @catqaq, we updated the loading script. Now you can load the datasets with:
> 
> ```python
> dataset = load_dataset('unicamp-dl/mmarco', 'portuguese')
> ```
> 
> You can check the list of supported languages and usage examples in [this link](https://huggingface.co/datasets/unicamp-dl/mmarco). Feel free to contact us if you have any issues.

Thanks for your quick updates. So, how can i get the fixed version, install from the source? It seems that the merging is blocked.

@catqaq you can load mMARCO using the namespace `unicamp-dl/mmarco` while this PR remains under review.

Thanks for your contribution, @lhbonifacio and  @hugoabonizio. And sorry for the late response.

We are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets

As you already created this dataset under your organization namespace (https://huggingface.co/datasets/unicamp-dl/mmarco), I think we can safely close this PR.

We would suggest you complete your dataset card with the YAML tags, to make it searchable and discoverable.

Please, feel free to tell us if you need some help.
Title: Add eli5_category dataset
Author: jingshenSN2 (CONTRIBUTOR)
State: closed
Created: 2021-12-12T21:30:45Z

This pull request adds a categorized Long-form question answering dataset `ELI5_Category`. It's a new variant of the [ELI5](https://huggingface.co/datasets/eli5) dataset that uses the Reddit tags to alleviate the training/validation overlapping in the origin ELI5 dataset.

A [report](https://celeritasml.netlify.app/posts/2021-12-01-eli5c/)(Section 2) on this dataset.

Comments:
> Thanks a lot for adding this dataset ! Good job with the dataset card and the dataset scripts - they're really good :)
> 
> I just added minor changes

Thanks for fixing typos!
Title: Add Wikisource dataset
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-10T17:04:44Z
Labels: dataset contribution

Add loading script for Wikisource dataset.

Fix #3399.

CC: @geohci, @yjernite

Comments:
As we are removing the dataset scripts from GitHub and moving them to the Hugging Face Hub, I am going to transfer this script to the repo: https://huggingface.co/datasets/wikimedia/wikisource
Title: Fix type of bridge field in QED
Author: mariosasko (COLLABORATOR)
State: closed
Created: 2021-12-10T15:07:21Z

Use `Value("string")` instead of `Value("bool")` for the feature type of the `"bridge"` field in the QED dataset. If the value is `False`, set to `None`.

The following paragraph in the QED repo explains the purpose of this field:
>Each annotation in referential_equalities is a pair of spans, the question_reference and the sentence_reference, corresponding to an entity mention in the question and the selected_sentence respectively. As described in the paper, sentence_references can be "bridged in", in which case they do not correspond with any actual span in the selected_sentence. Hence, sentence_reference spans contain an additional field, bridge, which is a prepositional phrase when a reference is bridged, and is False otherwise. Prepositional phrases serve to link bridged references to an anchoring phrase in the selected_sentence. In the case a sentence_reference is bridged, the start and end, as well as the span string, map to such an anchoring phrase in the selected_sentence.

Fix #3346

cc @VictorSanh

Comments:
Title: disaster_response_messages unavailable
Author: sacdallago (NONE)
State: closed
Created: 2021-12-10T13:49:17Z
Labels: dataset-viewer

## Dataset viewer issue for '* disaster_response_messages*'

**Link:** https://huggingface.co/datasets/disaster_response_messages

Dataset unavailable. Link dead: https://datasets.appen.com/appen_datasets/disaster_response_data/disaster_response_messages_training.csv

Am I the one who added this dataset ?No

Comments:
Hi, thanks for reporting! This is a duplicate of https://github.com/huggingface/datasets/issues/3240. We are working on a fix.
Title: Non-deterministic tests: CI tests randomly fail
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-10T06:08:59Z
Labels: bug

## Describe the bug
Some CI tests fail randomly.

1. In https://github.com/huggingface/datasets/pull/3375/commits/c10275fe36085601cb7bdb9daee9a8f1fc734f48, there were 3 failing tests, only on Linux:
   ```
   =========================== short test summary info ============================
   FAILED tests/test_streaming_download_manager.py::test_streaming_dl_manager_get_extraction_protocol[https://drive.google.com/uc?export=download&id=1k92sUfpHxKq8PXWRr7Y5aNHXwOCNUmqh-zip]
   FAILED tests/test_streaming_download_manager.py::test_streaming_gg_drive - Fi...
   FAILED tests/test_streaming_download_manager.py::test_streaming_gg_drive_zipped
   = 3 failed, 3553 passed, 2950 skipped, 2 xfailed, 1 xpassed, 125 warnings in 192.79s (0:03:12) =
   ```

2. After re-running the CI (without any change in the code) in https://github.com/huggingface/datasets/pull/3375/commits/57bfe1f342cd3c59d2510b992d5f06a0761eb147, there was only 1 failing test (one on Linux and a different one on Windows):
   - On Linux:
      ```
      =========================== short test summary info ============================
      FAILED tests/test_streaming_download_manager.py::test_streaming_gg_drive_zipped
      = 1 failed, 3555 passed, 2950 skipped, 2 xfailed, 1 xpassed, 125 warnings in 199.76s (0:03:19) =
      ```
   - On Windows:
      ```
      =========================== short test summary info ===========================
      FAILED tests/test_load.py::test_load_dataset_builder_for_community_dataset_without_script
      = 1 failed, 3551 passed, 2954 skipped, 2 xfailed, 1 xpassed, 121 warnings in 478.58s (0:07:58) =
      ```

   The test `tests/test_streaming_download_manager.py::test_streaming_gg_drive_zipped` passes locally.

3. After re-running again the CI (without any change in the code) in https://github.com/huggingface/datasets/pull/3375/commits/39f32f2119cf91b86867216bb5c356c586503c6a, ALL the tests passed.

Comments:
I think it might come from two different issues:
1. Google Drive is an unreliable host, mainly because of quota limitations
2. the staging environment can sometimes raise some errors

For Google Drive tests we could set up some retries with backup URLs if necessary I guess.
For staging on the other hand, I guess we can investigate what causes this and discuss with the back-end team

Closed by:
- #3982
Title: Skip None encoding (line deleted by accident in #3195)
Author: mariosasko (COLLABORATOR)
State: closed
Created: 2021-12-09T21:17:33Z

Return the line deleted by accident in #3195 while [resolving merge conflicts](https://github.com/huggingface/datasets/pull/3195/commits/8b0ed15be08559056b817836a07d47acda0c4510).


Fix #3181 (finally :))

Comments:
Title: Fix flaky test again for s3 serialization
Author: lhoestq (MEMBER)
State: closed
Created: 2021-12-09T17:54:41Z

Following https://github.com/huggingface/datasets/pull/3388 that wasn't enough (see CI error [here](https://app.circleci.com/pipelines/github/huggingface/datasets/9080/workflows/b971fb27-ff20-4220-9416-c19acdfdf6f4/jobs/55985))

Comments:
Title: [chinese wwm] load_datasets behavior not as expected when using run_mlm_wwm.py script
Author: hyusterr (NONE)
State: open
Created: 2021-12-09T17:54:35Z
Labels: bug

## Describe the bug

Model I am using (Bert, XLNet ...): bert-base-chinese

The problem arises when using:
* [https://github.com/huggingface/transformers/blob/master/examples/research_projects/mlm_wwm/run_mlm_wwm.py] the official example scripts: `rum_mlm_wwm.py`

The tasks I am working on is: pretraining whole word masking with my own dataset and ref.json file
I tried follow the run_mlm_wwm.py procedure to do whole word masking on pretraining task. my file is in .txt form, where one line represents one sample, with `9,264,784` chinese lines in total. the ref.json file is also contains 9,264,784 lines of whole word masking reference data for my chinese corpus. but when I try to adapt the run_mlm_wwm.py script, it shows that somehow after 
`datasets["train"] = load_dataset(...`
`len(datasets["train"])` returns `9,265,365`
then, after `tokenized_datasets = datasets.map(...`
`len(tokenized_datasets["train"])` returns `9,265,279`
I'm really confused and tried to trace code by myself but can't know what happened after a week trial.

I want to know what happened in the `load_dataset()` function and `datasets.map` here and how did I get more lines of data than I input. so I'm here to ask.
## To reproduce
Sorry that I can't provide my data here since it did not belong to me. but I'm sure I remove the blank lines.

## Expected behavior
I expect the code run as it should. but the AssertionError in line 167 keeps raise as the line of reference json and datasets['train'] differs.

Thanks for your patient reading!

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.8.0
- Platform: Linux-5.4.0-91-generic-x86_64-with-glibc2.29
- Python version: 3.8.10 
- PyArrow version: 3.0.0

Comments:
@LysandreJik not so sure who to @
Could you help?

Hi @hyusterr, I believe it is @wlhgtc from https://github.com/huggingface/transformers/pull/9887
Title: Pass new_fingerprint in multiprocessing
Author: lhoestq (MEMBER)
State: closed
Created: 2021-12-09T15:12:00Z

Following https://github.com/huggingface/datasets/pull/3045

Currently one can pass `new_fingerprint` to `.map()` to use a custom fingerprint instead of the one computed by hashing the map transform. However it's ignored if `num_proc>1`.

In this PR I fixed that by passing `new_fingerprint` to `._map_single()` when `num_proc>1`.
More specifically, `new_fingerprint` with a suffix based on the process `rank` is passed, so that each process has a different `new_fingerprint`

cc @TevenLeScao @vlievin

Comments:
@lhoestq Hi~, does this support that `datasets.map(func, batched=True, batch_size, num_proc>1, new_fingerprint="func_v1")` even if `func` can't pickle. I also notice that you said "Unfortunately you need picklable mapping functions to make multiprocessing work :confused: Also feel free to open an issue or send me a dm if you are in a situation where the caching fails. I can help you with that :slight_smile:" in [here](https://discuss.huggingface.co/t/how-to-deal-with-unpickable-objects-in-map/1547/8). So, I want to ask that is there a way for users to use multiprocessing in `datasets.map` when the `func` can't pickle? 
Thanks in advance!

Yea you need your function to be picklable for multiprocessing, otherwise the main process is not able to pass your function to the child processes.
Title: Typo in Dataset viewer error message
Author: lewtun (MEMBER)
State: closed
Created: 2021-12-09T14:34:02Z
Labels: dataset-viewer

## Dataset viewer issue for '*name of the dataset*'

**Link:** *link to the dataset viewer page*

*short description of the issue*

When creating an empty dataset repo, the Dataset Preview provides a helpful message that no files were found. There is a tiny typo in that message: "ressource" should be "resource"

![Screen Shot 2021-12-09 at 15 31 31](https://user-images.githubusercontent.com/26859204/145415725-9cd728f0-c2c8-4b4e-a8e1-4f4d7841c94a.png)


Am I the one who added this dataset ? 

N/A

Comments:
Fixed, thanks
<img width="661" alt="Capture d’écran 2021-12-22 à 12 02 30" src="https://user-images.githubusercontent.com/1676121/147082881-cf700e8d-0511-4431-b214-d6cf8137db10.png">
Title: Use max number of data files to infer module
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-08T14:58:43Z

When inferring the module for datasets without script, set a maximum number of iterations over data files.

This PR fixes the issue of taking too long when hundred of data files present.

Please, feel free to agree on both numbers:
```
# Datasets without script
DATA_FILES_MAX_NUMBER = 10
ARCHIVED_DATA_FILES_MAX_NUMBER = 5
```

Fix #3404.

Comments:
Cool thanks :) Feel free to merge if it's all good for you
Title: ZIP format inference does not work when files located in a dir inside the archive
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-08T12:32:15Z
Labels: bug

## Describe the bug
When a zipped file contains archived files within a directory, the function `infer_module_for_data_files_in_archives` does not work.

It only works for files located in the root directory of the ZIP file.

## Steps to reproduce the bug
```python
infer_module_for_data_files_in_archives(["path/to/zip/file.zip"], False)
```

Comments:
Title: Optimize ZIP format inference
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-07T18:44:49Z
Labels: enhancement

**Is your feature request related to a problem? Please describe.**
When hundreds of ZIP files are present in a dataset, format inference takes too long.

See: https://github.com/bigscience-workshop/data_tooling/issues/232#issuecomment-986685497

**Describe the solution you'd like**
Iterate over a maximum number of files.

CC: @lhoestq

Comments:
Title: Cannot import name 'maybe_sync'
Author: KMFODA (CONTRIBUTOR)
State: closed
Created: 2021-12-07T17:57:59Z
Labels: bug

## Describe the bug
Cannot seem to import datasets when running run_summarizer.py script on a VM set up on ovhcloud

## Steps to reproduce the bug
```python
from datasets import load_dataset
```

## Expected results
No error

## Actual results
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/conda/lib/python3.7/site-packages/datasets/__init__.py", line 34, in <module>
    from .arrow_dataset import Dataset, concatenate_datasets
  File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 48, in <module>
    from .arrow_writer import ArrowWriter, OptimizedTypedSequence
  File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_writer.py", line 27, in <module>
    from .features import (
  File "/opt/conda/lib/python3.7/site-packages/datasets/features/__init__.py", line 2, in <module>
    from .audio import Audio
  File "/opt/conda/lib/python3.7/site-packages/datasets/features/audio.py", line 8, in <module>
    from ..utils.streaming_download_manager import xopen
  File "/opt/conda/lib/python3.7/site-packages/datasets/utils/streaming_download_manager.py", line 16, in <module>
    from ..filesystems import COMPRESSION_FILESYSTEMS
  File "/opt/conda/lib/python3.7/site-packages/datasets/filesystems/__init__.py", line 13, in <module>
    from .s3filesystem import S3FileSystem  # noqa: F401
  File "/opt/conda/lib/python3.7/site-packages/datasets/filesystems/s3filesystem.py", line 1, in <module>
    import s3fs
  File "/opt/conda/lib/python3.7/site-packages/s3fs/__init__.py", line 1, in <module>
    from .core import S3FileSystem, S3File
  File "/opt/conda/lib/python3.7/site-packages/s3fs/core.py", line 11, in <module>
    from fsspec.asyn import AsyncFileSystem, sync, sync_wrapper, maybe_sync
ImportError: cannot import name 'maybe_sync' from 'fsspec.asyn' (/opt/conda/lib/python3.7/site-packages/fsspec/asyn.py)

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.16.0
- Platform: OVH Cloud Tesla V100 Machine
- Python version: 3.7.9
- PyArrow version: 6.0.1

Comments:
Hi ! Can you try updating `fsspec` ? The minimum version is `2021.05.0`

hey @lhoestq. I'm using `fsspec-2021.11.1` but still getting that error.

Maybe this discussion can help:

https://github.com/fsspec/filesystem_spec/issues/597#issuecomment-958646964

Thanks @lhoestq. Downgrading `fsspec and s3fs` to `2021.10` fixed this issue!
Title: Add Wikimedia pre-processed datasets
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-07T17:33:19Z
Labels: dataset request

## Adding a Dataset
- **Name:** Add pre-processed data to:
  - *wikimedia/wikipedia*: https://huggingface.co/datasets/wikimedia/wikipedia
  - *wikimedia/wikisource*: https://huggingface.co/datasets/wikimedia/wikisource
- **Description:** Add pre-processed data to the Hub for all languages
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** This will be very useful for the NLP community, as the pre-processing has a high cost for lot of researchers (both in computation and in knowledge)

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).

CC: @geohci, @yjernite

Comments:
As we are planning to stop using Apache Beam (our `datasets.BeamBasedBuilder`) for the generation of some datasets (including [Wikipedia](https://huggingface.co/datasets/wikipedia/blob/main/wikipedia.py)), I have been working on [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) to:
- Port the Wikipedia generation script to use `datasets.GeneratorBasedBuilder` instead and place it under the "script" branch: https://huggingface.co/datasets/wikimedia/wikipedia/tree/script
- Improve the efficiency of the code and make it highly parellizable. See:
  - [Parallelize dataset generation over multistreams](https://huggingface.co/datasets/wikimedia/wikipedia/commit/610c55864586dbdad7ac5a13c21a367bb000a1d3)
  - [Parallelize data downloading](https://huggingface.co/datasets/wikimedia/wikipedia/commit/b35d406bd9e81f08c68e7bf95d130d2f506dfe77)

  With these improvements, I can generate the English Wikipedia in 5h using 16 processors in a machine without needing a huge amount of RAM (the machine had 32 GB, but I think less can be used as well):
  ```python
  ds = load_dataset("wikimedia/wikipedia", revision="script", date="20231101", language="en", host="https://mirror.accum.se/mirror/wikimedia.org/dumps", split="train", num_proc=16)
  ```
- Pre-process all Wikipedia languages for the latest 2023-11-01 dump and make them available to the entire community for easy use:
  ```python
  ds = load_dataset("wikimedia/wikipedia", "20231101.en", split="train", num_proc=16)
  ```
CC: @geohci
Title: Improve Wikipedia loading script
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-07T17:29:25Z
Labels: dataset request

As reported by @geohci, the "wikipedia" processing/loading script could be improved by some additional small suggested processing functions:
- _extract_content(filepath):
  - Replace .startswith("#redirect") with more structured approach: if elem.find(f"./{namespace}redirect") is None: continue
- _parse_and_clean_wikicode(raw_content, parser):
  - Remove rm_template from cleaning -- this is redundant with .strip_code() from mwparserformhell
  - Build a language-specific list of namespace prefixes to filter out per below get_namespace_prefixes
  - Optional: strip prefixes like categories -- e.g., Category:Towns in Tianjin becomes Towns in Tianjin
  - Optional: strip magic words

Comments:
Thanks! See https://public.paws.wmcloud.org/User:Isaac_(WMF)/HuggingFace%20Wikipedia%20Processing.ipynb for more implementation details / some data around the overhead induced by adding the extra preprocessing steps (stripping link prefixes and magic words)

Closed by:
- #3435
Title: Add Wikisource dataset
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-07T17:21:31Z
Labels: dataset request

## Adding a Dataset
- **Name:** *wikisource*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** Additional high quality textual data, besides Wikipedia.

Add loading script as "canonical" dataset (as it is the case for ""wikipedia").

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).

CC: @geohci, @yjernite

Comments:
See notebook by @geohci: https://public.paws.wmcloud.org/User:Isaac_(WMF)/HuggingFace%20Wikisource%20Processing.ipynb

See: https://huggingface.co/datasets/wikimedia/wikisource
Title: Install Audio dependencies to support audio decoding
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-07T15:11:36Z
Labels: dataset-viewer

audio_column

## Dataset viewer issue for '*openslr*', '*projecte-aina/parlament_parla*'

**Link:** *https://huggingface.co/datasets/openslr*
**Link:** *https://huggingface.co/datasets/projecte-aina/parlament_parla*

Error:
```
Status code:   400
Exception:     ImportError
Message:       To support decoding audio files, please install 'librosa'.
```

Am I the one who added this dataset ? Yes-No
- openslr: No
- projecte-aina/parlament_parla: Yes

Comments:
https://huggingface.co/datasets/projecte-aina/parlament_parla -> works (but we still have to show an audio player)

https://huggingface.co/datasets/openslr -> another issue: `Message:       [Errno 2] No such file or directory: '/home/hf/datasets-preview-backend/zip:/asr_javanese/data/00/00004fe6aa.flac'`

Done

https://huggingface.co/datasets/projecte-aina/parlament_parla/viewer/clean/train works

<img width="1535" alt="Capture d’écran 2022-04-12 à 13 58 47" src="https://user-images.githubusercontent.com/1676121/162957855-cb3d9e2e-4b61-488c-99ca-8065cd8fe377.png">


But https://huggingface.co/datasets/openslr/viewer does not work

<img width="678" alt="Capture d’écran 2022-04-12 à 13 59 46" src="https://user-images.githubusercontent.com/1676121/162958013-e31ef2ae-f886-47b7-9f27-664ed3d4b5a1.png">

Same issue as #4126:

```
Status code:   400
Exception:     TypeError
Message:       __init__() got an unexpected keyword argument 'audio_column'
```

Fixed:
<img width="1561" alt="Capture d’écran 2022-04-25 à 18 11 51" src="https://user-images.githubusercontent.com/1676121/165129813-018ece9e-8b20-4544-844d-4e88148e738f.png">
Title: Preserve all feature types when saving a dataset on the Hub with `push_to_hub`
Author: mariosasko (COLLABORATOR)
State: closed
Created: 2021-12-07T14:08:30Z
Labels: bug

Currently, if one of the dataset features is of type `ClassLabel`, saving the dataset with `push_to_hub` and reloading the dataset with `load_dataset` will return the feature of type `Value`. To fix this, we should do something similar to `save_to_disk` (which correctly preserves the types) and not only push the parquet files in `push_to_hub`, but also the dataset `info` (stored in a JSON file).

Comments:
According to this [comment in the forum](https://discuss.huggingface.co/t/save-datasetdict-to-huggingface-hub/12075/8?u=lhoestq), using `push_to_hub` on a dataset with `ClassLabel` can also make the feature simply disappear when it's reloaded !

Maybe we can also fix https://github.com/huggingface/datasets/issues/3035 while working on this because, as pointed out in my initial post, `save_to_disk` also saves the `dataset_info.json`  file.
Title: Common Voice Belarusian Dataset
Author: wiedymi (NONE)
State: open
Created: 2021-12-07T10:37:02Z
Labels: dataset request

speech

## Adding a Dataset
- **Name:** *Common Voice Belarusian Dataset*
- **Description:** *[commonvoice.mozilla.org/be](https://commonvoice.mozilla.org/be)*
- **Data:** *[commonvoice.mozilla.org/be/datasets](https://commonvoice.mozilla.org/be/datasets)*
- **Motivation:** *It has more than 7GB of data, so it will be great to have it in this package so anyone can try to train something for Belarusian language.*

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).

Comments:
Title: Dataset viewer issue for `dansbecker/hackernews_hiring_posts`
Author: severo (COLLABORATOR)
State: closed
Created: 2021-12-07T08:41:01Z
Labels: dataset-viewer

## Dataset viewer issue for `dansbecker/hackernews_hiring_posts`

**Link:** https://huggingface.co/datasets/dansbecker/hackernews_hiring_posts

*short description of the issue*

Dataset preview not showing for uploaded DatasetDict. See https://discuss.huggingface.co/t/dataset-preview-not-showing-for-uploaded-datasetdict/12603

Am I the one who added this dataset ?

No -> @dansbecker

Comments:
This issue was fixed by me calling `all_datasets.push_to_hub("hackernews_hiring_posts")`.

The previous problems were from calling `all_datasets.save_to_disk` and then pushing with `my_repo.git_add` and `my_repo.push_to_hub`.
Title: method to select columns
Author: changjonathanc (CONTRIBUTOR)
State: closed
Created: 2021-12-07T02:44:19Z
Labels: enhancement

**Is your feature request related to a problem? Please describe.**

* There is currently no way to select some columns of a dataset. In pandas, one can use `df[['col1', 'col2']]` to select columns, but in `datasets`, it results in error.

**Describe the solution you'd like**

* A new method that can be used to create a new dataset with only a list of specified columns.

**Describe alternatives you've considered**

`.remove_columns(self, columns: Union[str, List[str]], inverse: bool = False)`
Or 
`.select(self,  indices: Iterable = None, columns: List[str] = None)`

Comments:
duplicate of #2655
Title: Loading dataset throws "KeyError: 'Field "builder_name" does not exist in table schema'"
Author: R4ZZ3 (NONE)
State: closed
Created: 2021-12-06T18:22:49Z
Labels: bug

## Describe the bug
I have prepared dataset to datasets and now I am trying to load it back Finnish-NLP/voxpopuli_fi
I get "KeyError: 'Field "builder_name" does not exist in table schema'"

My dataset folder and files should be like @patrickvonplaten  has here https://huggingface.co/datasets/flax-community/german-common-voice-processed

How my voxpopuli dataset looks like:
![image](https://user-images.githubusercontent.com/25264037/144895598-b7d9ae91-b04a-4046-9f06-b71ff0824d13.png)

Part of the processing (path column is the absolute path to audio files)
```
def add_audio_column(example):
    example['audio'] = example['path']
    return example

voxpopuli = voxpopuli.map(add_audio_column)
voxpopuli.cast_column("audio", Audio())
voxpopuli["audio"] <-- to my knowledge this does load the local files and prepares those arrays
voxpopuli = voxpopuli.cast_column("audio", Audio(sampling_rate=16_000)) resampling 16kHz
```

I have then saved it to disk_
`voxpopuli.save_to_disk('/asr_disk/datasets_processed_new/voxpopuli')`

and made folder structure same as @patrickvonplaten 
I also get same error while trying to load_dataset from his repo:
![image](https://user-images.githubusercontent.com/25264037/144895872-e9b8f326-cf2b-46cf-9417-606a0ce14077.png)


## Steps to reproduce the bug
```python
dataset = load_dataset("Finnish-NLP/voxpopuli_fi")
```

## Expected results
Dataset is loaded correctly and looks like in the first picture

## Actual results
Loading throws keyError:
KeyError: 'Field "builder_name" does not exist in table schema'


Resources I have been trying to follow:
https://huggingface.co/docs/datasets/audio_process.html 
https://huggingface.co/docs/datasets/share_dataset.html

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.16.2.dev0
- Platform: Ubuntu 20.04.2 LTS
- Python version: 3.8.12
- PyArrow version: 6.0.1

Comments:
Got solved it with push_to_hub, closing
Title: Add EDGAR
Author: philschmid (CONTRIBUTOR)
State: open
Created: 2021-12-06T14:06:11Z
Labels: dataset request

## Adding a Dataset
- **Name:** EDGAR Database
- **Description:** https://www.sec.gov/edgar/about EDGAR, the Electronic Data Gathering, Analysis, and Retrieval system, is the primary system for companies and others submitting documents under the Securities Act of 1933, the Securities Exchange Act of 1934, the Trust Indenture Act of 1939, and the Investment Company Act of 1940. Containing millions of company and individual filings, EDGAR benefits investors, corporations, and the U.S. economy overall by increasing the efficiency, transparency, and fairness of the securities markets. The system processes about 3,000 filings per day, serves up 3,000 terabytes of data to the public annually, and accommodates 40,000 new filers per year on average. EDGAR® and EDGARLink® are registered trademarks of the SEC.
- **Data:** https://www.sec.gov/os/accessing-edgar-data
- **Motivation:** Enabling and improving FSI (Financial Services Industry) datasets to increase ease of use 

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).

Comments:
cc @juliensimon 

Datasets are not tracked in this repository anymore. But you can make your own dataset in the huggingface hub
Title: Fix flaky test of the temporary directory used by load_from_disk
Author: lhoestq (MEMBER)
State: closed
Created: 2021-12-06T11:09:31Z

The test is flaky, here is an example of random CI failure:
https://github.com/huggingface/datasets/commit/73ed6615b4b3eb74d5311684f7b9e05cdb76c989

I fixed that by not checking the content of the random part of the temporary directory name

Comments:
CI failed because of a server error - merging
Title: Create Language Modeling task
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-06T07:56:07Z

Create Language Modeling task to be able to specify the input "text" column in a dataset.

This can be useful for datasets which are not exclusively used for language modeling and have more than one column:
- for text classification datasets (with columns "review" and "rating", for example), the Language Modeling task can be used to specify the "text" column ("review" in this case).

TODO:
- [ ] Add the LanguageModeling task to all dataset scripts which can be used for language modeling

Comments:
Title: #3337 Add typing overloads to Dataset.__getitem__ for mypy
Author: Dref360 (CONTRIBUTOR)
State: closed
Created: 2021-12-04T20:54:49Z

Add typing overloads to Dataset.__getitem__ for mypy

Fixes #3337 

**Iterable**
Iterable from `collections` cannot have a type, so you can't do `Iterable[int]` for example. `typing` has a Generic version that builds upon the one from `collections`.

**Flake8**
I had to add `# noqa: F811`, this is a bug from Flake8.

datasets uses flake8==3.7.9 which released in October 2019 if I update flake8 (4.0.1), I no longer get these errors, but I did not want to make the update without your approval. (It also triggers other errors like no args in f-strings.)

Comments:
Locally the `make quality` passes with the same dependencies. I would suggest upgrading flake8. (I can take care of it in another PR)
cc @lhoestq 

Thank you for fixing flake8! I think we are ready to merge then.
Title: [Quick poll] Give your opinion on the future of the Hugging Face Open Source ecosystem!
Author: LysandreJik (MEMBER)
State: closed
Created: 2021-12-04T09:18:33Z

Thanks to all of you, `datasets` will pass 11.5k stars :star2: this week!

If you have a couple of minutes and want to participate in shaping the future of the ecosystem, please share your thoughts: 

[**hf.co/oss-survey**](https://hf.co/oss-survey)

(please reply in the above feedback form rather than to this thread)

Thank you all on behalf of the HuggingFace team! 🤗

Comments:
Title: Add The Pile subsets
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-03T13:14:54Z

Add The Pile subsets:
- pubmed
- ubuntu_irc
- europarl
- hacker_news
- nih_exporter

Close bigscience-workshop/data_tooling#301.

CC: @StellaAthena

Comments:
Title: COCO 🥥 on the 🤗 Hub?
Author: merveenoyan (CONTRIBUTOR)
State: closed
Created: 2021-12-03T12:55:27Z

This is a draft PR since I ran into few small problems. 
I referred to this TFDS code: https://github.com/tensorflow/datasets/blob/2538a08c184d53b37bfcf52cc21dd382572a88f4/tensorflow_datasets/object_detection/coco.py
cc: @mariosasko

Comments:
@mariosasko I fixed couple of bugs

TO-DO: 
- [x] Add unlabeled 2017 splits, train and validation splits of 2015
- [x] Add Class Labels as list instead

@mariosasko added fine & coarse grained labels, will fix the bugs (currently getting set up with VM, my internet is too slow to run the tests and download the data 🥲)

migrated to here https://github.com/huggingface/datasets/tree/coco
Title: Support streaming zipped dataset repo by passing only repo name
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-03T10:43:05Z

Proposed solution:
- I have added the method `iter_files` to DownloadManager and StreamingDownloadManager
- I use this in modules: "csv", "json", "text"
- I test for CSV/JSONL/TXT zipped (and non-zipped) files, both in streaming and non-streaming modes

Fix #3373.

Comments:
I just tested and I think this only opens one file ? If there are several files in the ZIP, only the first one is opened. To open several files from a ZIP, one has to call `open` several times.

What about updating the CSV loader to make it `download_and_extract` zip files, and open each extracted file ?

I have implemented the  glob of ZIP files in the packaged modules:
- csv
- json
- text

Also for streaming and non-streaming.

In https://github.com/huggingface/datasets/pull/3375/commits/c10275fe36085601cb7bdb9daee9a8f1fc734f48, there were 3 failing tests, only on Linux:
```
=========================== short test summary info ============================
FAILED tests/test_streaming_download_manager.py::test_streaming_dl_manager_get_extraction_protocol[https://drive.google.com/uc?export=download&id=1k92sUfpHxKq8PXWRr7Y5aNHXwOCNUmqh-zip]
FAILED tests/test_streaming_download_manager.py::test_streaming_gg_drive - Fi...
FAILED tests/test_streaming_download_manager.py::test_streaming_gg_drive_zipped
= 3 failed, 3553 passed, 2950 skipped, 2 xfailed, 1 xpassed, 125 warnings in 192.79s (0:03:12) =
```

After re-running the CI in https://github.com/huggingface/datasets/pull/3375/commits/57bfe1f342cd3c59d2510b992d5f06a0761eb147, there was only 1 failing test:
- On Linux:
```
=========================== short test summary info ============================
FAILED tests/test_streaming_download_manager.py::test_streaming_gg_drive_zipped
= 1 failed, 3555 passed, 2950 skipped, 2 xfailed, 1 xpassed, 125 warnings in 199.76s (0:03:19) =
```
- On Windows:
```
=========================== short test summary info ===========================
FAILED tests/test_load.py::test_load_dataset_builder_for_community_dataset_without_script
= 1 failed, 3551 passed, 2954 skipped, 2 xfailed, 1 xpassed, 121 warnings in 478.58s (0:07:58) =
```

The test `tests/test_streaming_download_manager.py::test_streaming_gg_drive_zipped` passes locally.

I guess the issue is caused by those tests and has nothing to do with this PR.

@lhoestq my final proposed solution:
- I have added the method `iter_files` to DownloadManager and StreamingDownloadManager
- I use this in modules: "csv", "json", "text"
- I test for CSV/JSONL/TXT zipped (and non-zipped) files, both in streaming and non-streaming modes

> Note that at one point we might consider switching to using `iter_archive` for ZIP files in the json/text/csv loaders since it should be faster.

As far as the functionality is kept... ;)
Title: NonMatchingChecksumError for the CLUE:cluewsc2020, chid, c3 and tnews
Author: Namco0816 (NONE)
State: closed
Created: 2021-12-03T10:10:54Z

Hi, it seems like there are updates in cluewsc2020, chid, c3 and tnews, since i could not load them due to the checksum error.

Comments:
Seems like the issue still exists,:
`Downloading and preparing dataset clue/chid (download: 127.15 MiB, generated: 259.71 MiB, post-processed: Unknown size, total: 386.86 MiB) to /mnt/cache/tanhaochen/.cache/huggingface/datasets/clue/chid/1.0.0/e55b490cb7809dcd8db31b9a87119f2e2ec87cdc060da8a9ac070b070ca3e379...
Traceback (most recent call last):
  File "/mnt/cache/tanhaochen/PromptCLUE/test_datasets.py", line 3, in <module>
    cluewsc2020 = datasets.load_dataset("clue","chid")
  File "/mnt/cache/tanhaochen/dependencies/datasets/src/datasets/load.py", line 1667, in load_dataset
    builder_instance.download_and_prepare(
  File "/mnt/cache/tanhaochen/dependencies/datasets/src/datasets/builder.py", line 593, in download_and_prepare
    self._download_and_prepare(
  File "/mnt/cache/tanhaochen/dependencies/datasets/src/datasets/builder.py", line 663, in _download_and_prepare
    verify_checksums(
  File "/mnt/cache/tanhaochen/dependencies/datasets/src/datasets/utils/info_utils.py", line 40, in verify_checksums
    raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://storage.googleapis.com/cluebenchmark/tasks/chid_public.zip']
`

Hi,

the fix hasn't been merged yet (it should be merged early next week).
Title: Support streaming zipped CSV dataset repo by passing only repo name
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-03T09:48:24Z
Labels: enhancement

Given a community 🤗 dataset repository containing only a zipped CSV file (only raw data, no loading script), I would like to load it in streaming mode without passing `data_files`:
```
ds_name = "bigscience-catalogue-data/vietnamese_poetry_from_fsoft_ai_lab"
ds = load_dataset(ds_name, split="train", streaming=True, use_auth_token=True)
item = next(iter(ds))
```

Currently, it gives a `FileNotFoundError` because there is no glob (no "\*" after "zip://": "zip://*") in the passed URL:
```
'zip://::https://huggingface.co/datasets/bigscience-catalogue-data/vietnamese_poetry_from_fsoft_ai_lab/resolve/e5d45f1bd9a8a798cc14f0a45ebc1ce91907c792/poems_dataset.zip'
```

Comments:
Title: [SEO improvement] Add Dataset Metadata to make datasets indexable
Author: cakiki (CONTRIBUTOR)
State: closed
Created: 2021-12-02T20:21:07Z
Labels: enhancement

Some people who host datasets on github seem to include a table of metadata at the end of their README.md to make the dataset indexable by [Google Dataset Search](https://datasetsearch.research.google.com/) (See [here](https://github.com/google-research/google-research/tree/master/goemotions#dataset-metadata) and [here](https://github.com/cvdfoundation/google-landmark#dataset-metadata)). This could be a useful addition to canonical datasets; perhaps even community datasets.

I'll include a screenshot (as opposed to markdown) as an example so as not to have a github issue indexed as a dataset:

> ![image](https://user-images.githubusercontent.com/3664563/144496173-953428cf-633a-4571-b75b-f099c6b2ed65.png)



**_PS: It might very well be the case that this is already covered by some other markdown magic I'm not aware of._**

Comments:
Title: New: Americas NLI dataset
Author: fdschmidt93 (CONTRIBUTOR)
State: closed
Created: 2021-12-02T17:44:59Z

This PR adds the [Americas NLI](https://arxiv.org/abs/2104.08726) dataset, extension of XNLI to 10 low-resource indigenous languages spoken in the Americas: Ashaninka, Aymara, Bribri, Guarani, Nahuatl, Otomi, Quechua, Raramuri, Shipibo-Konibo, and Wixarika.

One odd thing (not sure) is that I had to set

`datasets-cli dummy_data ./datasets/americas_nli/ --auto_generate --n_lines 7500`

`n_lines` very large to successfully generate the dummy files for all the subsets. Happy to get some guidance here.

Otherwise, I hope everything is in order :)

e: missed a step, onto fixing the tests
e2: there you go -- hope it's ok to have added more languages with their ISO codes to `languages.json`, need those tests to pass :laughing:

Comments:
Title: Document a training loop for streaming dataset
Author: lhoestq (MEMBER)
State: closed
Created: 2021-12-02T16:17:00Z

I added some docs about streaming dataset. In particular I added two subsections:
- one on how to use `map` for preprocessing
- one on how to use a streaming dataset in a pytorch training loop

cc @patrickvonplaten @stevhliu if you have some comments
cc @Rocketknight1 later we can add the one for TF and I might need your help ^^'

Comments:
Title: [Audio] Allow resampling for audio datasets in streaming mode
Author: patrickvonplaten (CONTRIBUTOR)
State: closed
Created: 2021-12-02T14:04:57Z
Labels: enhancement

Many audio datasets like Common Voice always need to be resampled. This can very easily be done in non-streaming mode as follows:

```python
from datasets import load_dataset

ds = load_dataset("common_voice", "ab", split="test")

ds = ds.cast_column("audio", Audio(sampling_rate=16_000))
```

However in streaming mode it fails currently:

```python
from datasets import load_dataset

ds = load_dataset("common_voice", "ab", split="test", streaming=True)

ds = ds.cast_column("audio", Audio(sampling_rate=16_000))
```

with the following error:

```
AttributeError: 'IterableDataset' object has no attribute 'cast_column'  
```

It would be great if we could add such a feature (I'm not 100% sure though how complex this would be)

Comments:
This requires implementing `cast_column` for iterable datasets, it could be a very nice addition !


It can also be useful to be able to disable the audio/image decoding for the dataset viewer (see PR https://github.com/huggingface/datasets/pull/3430) cc @severo 

EDIT: actually following https://github.com/huggingface/datasets/issues/3145 the dataset viewer might not need it anymore

Just to clarify a bit. This feature is **always** needed when using the common voice dataset in streaming mode. So I think it's quite important
Title: Add multimodal datasets
Author: albertvillanova (MEMBER)
State: open
Created: 2021-12-02T07:24:04Z
Labels: dataset request

Epic issue to track the addition of multimodal datasets:
- [ ] #2526
- [x] #1842
- [ ] #1810

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).

@VictorSanh feel free to add and sort by priority any interesting dataset. I have added the multimodal dataset requests which were already present as issues.

Comments:
Title: Add task tags for multimodal datasets
Author: albertvillanova (MEMBER)
State: closed
Created: 2021-12-02T06:58:20Z
Labels: enhancement

## **Is your feature request related to a problem? Please describe.**

Currently, task tags are either exclusively related to text or speech processing:
- https://github.com/huggingface/datasets/blob/master/src/datasets/utils/resources/tasks.json

## **Describe the solution you'd like**

We should also add tasks related to:
- multimodality
- image
- video

CC: @VictorSanh @lewtun @lhoestq @merveenoyan @SBrandeis

Comments:
The Hub pulls these tags from [here](https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts) (allows multimodal tasks) now, so I'm closing this issue.