helmo/github-issues huggingface dataset:
Support extract 7-zip compressed data files
State: closed | Author: albertvillanova (MEMBER)

Fix partially #3541, fix #4670.

Comments: _The documentation is not available anymore as the PR was closed or merged._

Cool! Can you please remove `Fix #3541` from the description as this PR doesn't add support for streaming/`iter_archive`, so it only partially addresses the issue?

Side note:
I think we can use `libarchive` (`libarchive-c` is a Python package with the bindings) for streaming 7z archives. The only issue with this lib is that it's tricky to install on Windows/Mac.
Dataset Viewer issue for wmt16
State: closed | Author: lewtun (MEMBER)
Labels: name: dataset-viewer

### Link

https://huggingface.co/datasets/wmt16

### Description

[Reported](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/12#62cb83f14c7f35284e796f9c) by a user of AutoTrain Evaluate. AFAIK this dataset was working 1-2 weeks ago, and I'm not sure how to interpret this error.

```
Status code:   400
Exception:     NotImplementedError
Message:       This is a abstract method
```

Thanks!

### Owner

No

Comments: Thanks for reporting, @lewtun.

~We can't load the dataset locally, so I think this is an issue with the loading script (not the viewer).~

 We are investigating...

Recently, there was a merged PR related to this dataset:
- #4554

We are looking at this...

Indeed, the above mentioned PR fixed the loading script (it was not working before).

I'm forcing the refresh of the Viewer.

Please note that the above mentioned PR also made an enhancement in the `datasets` library, required by this loading script. This enhancement will only be available to the Viewer once we make our next release.

OK, it's working now.

https://huggingface.co/datasets/wmt16/viewer/ro-en/test

<img width="1434" alt="Capture d’écran 2022-09-08 à 10 15 55" src="https://user-images.githubusercontent.com/1676121/189071665-17d2d149-9b22-42bf-93ac-1a966c3f637a.png">


Thank you @severo !!
Can't extract files from `.7z` zipfile using `download_and_extract`
State: closed | Author: bhavitvyamalik (CONTRIBUTOR)
Labels: name: bug

## Describe the bug
I'm adding a new dataset which is a `.7z` zip file in Google drive and contains 3 json files inside. I'm able to download the data files using `download_and_extract` but after downloading it throws this error:
```
>>> dataset = load_dataset("./datasets/mantis/")
Using custom data configuration default
Downloading and preparing dataset mantis/default to /Users/bhavitvyamalik/.cache/huggingface/datasets/mantis/default/1.1.0/611affa804ec53e2055a335cc1b8b213bb5a0b5142d919967729d5ee23c6bab4...
Downloading data: 100%|█████████████████████████████████████████████████████████| 77.2M/77.2M [00:23<00:00, 3.28MB/s]
/Users/bhavitvyamalik/.cache/huggingface/datasets/downloads/fc3d70123c9de8407587a59aa426c37819cf2bf016795d33270e8a1d558a34e6
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/bhavitvyamalik/Desktop/work/hf/datasets/src/datasets/load.py", line 1745, in load_dataset
    use_auth_token=use_auth_token,
  File "/Users/bhavitvyamalik/Desktop/work/hf/datasets/src/datasets/builder.py", line 595, in download_and_prepare
    dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
  File "/Users/bhavitvyamalik/Desktop/work/hf/datasets/src/datasets/builder.py", line 690, in _download_and_prepare
    ) from None
OSError: Cannot find data file. 
Original error:
[Errno 20] Not a directory: '/Users/bhavitvyamalik/.cache/huggingface/datasets/downloads/fc3d70123c9de8407587a59aa426c37819cf2bf016795d33270e8a1d558a34e6/merged_train.json'
```
just before generating the splits. I checked `fc3d70123c9de8407587a59aa426c37819cf2bf016795d33270e8a1d558a34e6` file and it's `7z` zip file (similar to downloaded Google drive file) which means it didn't get unzip. Do I need to unzip it separately and then pass the paths for train,dev,test files in `SplitGenerator`?

## Environment info
- `datasets` version: 1.18.4.dev0
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.8
- PyArrow version: 5.0.0

Comments: Hi @bhavitvyamalik, thanks for reporting.

Yes, currently we do not support 7zip archive compression: I think we should.

As a workaround, you could uncompress it explicitly, like done in e.g. `samsum` dataset: 

https://github.com/huggingface/datasets/blob/fedf891a08bfc77041d575fad6c26091bc0fce52/datasets/samsum/samsum.py#L106-L110


Related to this issue: https://github.com/huggingface/datasets/issues/3541

Sure, let me look into and check what can be done. Will keep you guys updated here!

Initially, I thought of solving this without any external dependency. Almost everywhere I saw `lzma` can be used for this but there is a caveat that lzma doesn’t work with 7z archives but only single files. In my case the 7z archive has multiple files so it didn't work. Is it fine to use external library here?

Hi @bhavitvyamalik, thanks for your investigation.

On Monday, I started a PR that will eventually close this issue as well: I'm linking it to this.
- #4672

Let me know what you think.
loading oscar-corpus/OSCAR-2201  raises an error
State: closed | Author: vitalyshalumov (NONE)
Labels: name: bug

## Describe the bug
load_dataset('oscar-2201', 'af')

raises an error:
Traceback (most recent call last):
  File "/usr/lib/python3.8/code.py", line 90, in runcode
    exec(code, self.locals)
  File "<input>", line 1, in <module>
  File "..python3.8/site-packages/datasets/load.py", line 1656, in load_dataset
    builder_instance = load_dataset_builder(
  File ".../lib/python3.8/site-packages/datasets/load.py", line 1439, in load_dataset_builder
    dataset_module = dataset_module_factory(
  File ".../lib/python3.8/site-packages/datasets/load.py", line 1189, in dataset_module_factory
    raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at .../oscar-2201/oscar-2201.py or any data file in the same directory. Couldn't find 'oscar-2201' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/oscar-2201/oscar-2201.py


I've tried other permutations such as : 
oscar_22 = load_dataset('oscar-2201', 'af',use_auth_token=True)
oscar_22 = load_dataset('oscar-corpus/OSCAR-2201', 'af',use_auth_token=True)
oscar_22 = load_dataset('oscar-2201', 'af')
oscar_22 = load_dataset('oscar-corpus/OSCAR-2201')


with the same unfortunate result.


## Steps to reproduce the bug
oscar_22 = load_dataset('oscar-2201', 'af',use_auth_token=True)
oscar_22 = load_dataset('oscar-corpus/OSCAR-2201', 'af',use_auth_token=True)
oscar_22 = load_dataset('oscar-2201', 'af')
oscar_22 = load_dataset('oscar-corpus/OSCAR-2201')
# Sample code to reproduce the bug
```

## Expected results
loaded data

## Actual results
Traceback (most recent call last):
  File "/usr/lib/python3.8/code.py", line 90, in runcode
    exec(code, self.locals)
  File "<input>", line 1, in <module>
  File "..python3.8/site-packages/datasets/load.py", line 1656, in load_dataset
    builder_instance = load_dataset_builder(
  File ".../lib/python3.8/site-packages/datasets/load.py", line 1439, in load_dataset_builder
    dataset_module = dataset_module_factory(
  File ".../lib/python3.8/site-packages/datasets/load.py", line 1189, in dataset_module_factory
    raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at .../oscar-2201/oscar-2201.py or any data file in the same directory. Couldn't find 'oscar-2201' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/oscar-2201/oscar-2201.py

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: Linux-5.13.0-37-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyArrow version: 8.0.0
- Pandas version: 1.4.3



Comments: I had to use the appropriate token for use_auth_token. Thank you.
Issues with concatenating datasets
State: closed | Author: ChenghaoMou (NONE)
Labels: name: bug

## Describe the bug
It is impossible to concatenate datasets if a feature is sequence of dict in one dataset and a dict of sequence in another. But based on the document, it should be automatically converted.

> A [datasets.Sequence](https://huggingface.co/docs/datasets/v2.3.2/en/package_reference/main_classes#datasets.Sequence) with a internal dictionary feature will be automatically converted into a dictionary of lists. This behavior is implemented to have a compatilbity layer with the TensorFlow Datasets library but may be un-wanted in some cases. If you don’t want this behavior, you can use a python list instead of the [datasets.Sequence](https://huggingface.co/docs/datasets/v2.3.2/en/package_reference/main_classes#datasets.Sequence).

## Steps to reproduce the bug
```python
from datasets import concatenate_datasets, load_dataset

squad = load_dataset("squad_v2")
squad["train"].to_json("output.jsonl", lines=True)

temp = load_dataset("json", data_files={"train": "output.jsonl"})
concatenate_datasets([temp["train"], squad["train"]])
```

## Expected results
No error executing that code

## Actual results
```
ValueError: The features can't be aligned because the key answers of features {'id': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None), 'context': Value(dtype='string', id=None), 'question': Value(dtype='string', id=None), 'answers': Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None)} has unexpected type - Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None) (expected either {'text': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'answer_start': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)} or Value("null").
```

## Environment info
- `datasets` version: 2.3.2
- Platform: macOS-12.4-arm64-arm-64bit
- Python version: 3.8.11
- PyArrow version: 6.0.1
- Pandas version: 1.3.5


Comments: Hi! I agree we should improve the features equality checks to account for this particular case. However, your code fails due to `answer_start` having the dtype `int64` instead of `int32` after loading from JSON (it's not possible to embed type precision info into a JSON file; `save_to_disk` does that for arrow files), which would lead to the concatenation error as PyArrow does not support this sort of type promotion. This can be fixed as follows:
```python
temp = load_dataset("json", data_files={"train": "output.jsonl"}, features=squad["train"].features)
``` 

That makes sense. I totally missed the `int64` and `int32` part. Thanks for pointing it out! Will close this issue for now.
Unable to create dataset having Python dataset script only
State: closed | Author: aleSuglia (CONTRIBUTOR)
Labels: name: bug

## Describe the bug
Hi there,

I'm trying to add the following dataset to Huggingface datasets: https://huggingface.co/datasets/Heriot-WattUniversity/dialog-babi/blob/

I'm trying to do so using the CLI commands but seems that this command generates the wrong `dataset_info.json` file (you can find it in the repo already):
```
datasets-cli test Heriot-WattUniversity/dialog-babi/dialog_babi.py --save_infos --all-configs
```
while it errors when I remove the python script:
```
datasets-cli test Heriot-WattUniversity/dialog-babi/ --save_infos --all-configs 
```
The error message is the following:
```
FileNotFoundError: Unable to resolve any data file that matches '['**']' at /Users/as2180/workspace/Heriot-WattUniversity/dialog-babi with any supported extension ['csv', 'tsv', 'json', 'jsonl', 'parquet', 'txt', 'blp', 'bmp', 'dib', 'bufr', 'cur', 'pcx', 'dcx', 'dds', 'ps', 'eps', 'fit', 'fits', 'fli', 'flc', 'ftc', 'ftu', 'gbr', 'gif', 'grib', 'h5', 'hdf', 'png', 'apng', 'jp2', 'j2k', 'jpc', 'jpf', 'jpx', 'j2c', 'icns', 'ico', 'im', 'iim', 'tif', 'tiff', 'jfif', 'jpe', 'jpg', 'jpeg', 'mpg', 'mpeg', 'msp', 'pcd', 'pxr', 'pbm', 'pgm', 'ppm', 'pnm', 'psd', 'bw', 'rgb', 'rgba', 'sgi', 'ras', 'tga', 'icb', 'vda', 'vst', 'webp', 'wmf', 'emf', 'xbm', 'xpm', 'zip']
```

## Environment info
- `datasets` version: 2.3.2
- Platform: macOS-12.4-arm64-arm-64bit
- Python version: 3.9.9
- PyArrow version: 8.0.0
- Pandas version: 1.4.3

Comments: Hi @aleSuglia, thanks for reporting.

We are having a look at it. 

We transfer this issue to the Community tab of the corresponding Hub dataset: https://huggingface.co/datasets/Heriot-WattUniversity/dialog-babi/discussions
Add stanford dog dataset
State: closed | Author: khushmeeet (CONTRIBUTOR)

This PR is for adding dataset, related to issue #4504.

We are adding Stanford dog breed dataset. It is a multi class image classification dataset. 
Details can be found here - http://vision.stanford.edu/aditya86/ImageNetDogs/

Tests on dummy data is failing currently, which I am looking into.

Comments: _The documentation is not available anymore as the PR was closed or merged._

Hi @khushmeeet, thanks for your contribution.

But wouldn't it be better to add this dataset to the Hub? 
- https://huggingface.co/docs/datasets/share
- https://huggingface.co/docs/datasets/dataset_script

Hi @albertvillanova 

Dataset is added to Hub - https://huggingface.co/datasets/dgrnd4/stanford_dog_dataset

Great, so I guess we can close this issue, as the dataset is already available on the Hub.

OK I read the discussion on:
- #4504

Currently, priority is adding datasets to the Hub, not here on GitHub.

If you would like to contribute the loading script and all the metadata you generated (README + JSON files), you could:
- Either make a PR to the existing dataset on the Hub
- Create a new dataset on the Hub:
  - Either under your personal namespace
  - or even more professionally, under the namespace `stanfordSVL` (Stanford Vision and Learning Lab: https://svl.stanford.edu/)

You can use the Community tab to ping us if you need help or have any questions.
Add text decorators
State: closed | Author: stevhliu (MEMBER)

This PR adds some decoration to text about different modalities to make it more obvious separate guides exist for audio, vision, and text. The goal is to make it easier for users to discover these guides!

![underline](https://user-images.githubusercontent.com/59462357/178044392-9596693e-9a4a-479a-a282-f1edbd90be1a.png)

TODO:

- [x] Open PR to support new Tailwind classes

Comments: _The documentation is not available anymore as the PR was closed or merged._
Fix _resolve_single_pattern_locally on Windows with multiple drives
State: closed | Author: albertvillanova (MEMBER)

Currently, when `_resolve_single_pattern_locally` is called from a different drive than the one in `pattern`, it raises an exception:
```
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\io\parquet.py:35: in __init__
    **kwargs,
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\builder.py:287: in __init__
    sanitize_patterns(data_files), base_path=base_path, use_auth_token=use_auth_token
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\data_files.py:761: in from_local_or_remote
    if not isinstance(patterns_for_key, DataFilesList)
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\data_files.py:723: in from_local_or_remote
    data_files = resolve_patterns_locally_or_by_urls(base_path, patterns, allowed_extensions)
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\data_files.py:321: in resolve_patterns_locally_or_by_urls
    for path in _resolve_single_pattern_locally(base_path, pattern, allowed_extensions):
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\data_files.py:239: in _resolve_single_pattern_locally
    for filepath in glob_iter
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\data_files.py:242: in <listcomp>
    os.path.relpath(filepath, base_path), os.path.relpath(pattern, base_path)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

path = 'C:\\Users\\runneradmin\\AppData\\Local\\Temp\\pytest-of-runneradmin\\pytest-0\\popen-gw0\\data6\\dataset.parquet'
start = '/'

...

E                   ValueError: path is on mount 'C:', start on mount 'D:'
```

This PR makes sure that `base_path` is in the same drive as `pattern`.

Comments: _The documentation is not available anymore as the PR was closed or merged._

Good catch ! Sorry I forgot (again) about windows paths when writing this x)
Add SQuAD2.0 Dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *SQuAD2.0*
- **Description:** *Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.*
- **Paper:** *https://aclanthology.org/P18-2124.pdf*
- **Data:** *https://rajpurkar.github.io/SQuAD-explorer/*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: Hey, It's already present [here](https://huggingface.co/datasets/squad_v2) 

Hi! This dataset is indeed already available on the Hub. Closing.
Add Amazon-QA Dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *Amazon-QA*
- **Description:** *The dataset is .jsonl format, where each line in the file is a json string that corresponds to a question, existing answers to the question and the extracted review snippets (relevant to the question).*
- **Paper:** *https://github.com/amazonqa/amazonqa/tree/master/paper*
- **Data:** *https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/amazon-qa.jsonl.gz*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/Amazon-QA).
Simple Wikipedia
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *Simple Wikipedia*
- **Description:** *Two different versions of the data set now exist. Both were generated by aligning Simple English Wikipedia and English Wikipedia. A complete description of the extraction process can be found in "Simple English Wikipedia: A New Simplification Task", William Coster and David Kauchak (2011).*
- **Paper:** *https://aclanthology.org/P11-2117/*
- **Data:** *https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/SimpleWiki.jsonl.gz*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/simple-wiki).
Add Quora Question Triplets Dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *Quora Question Triplets*
- **Description:** *This dataset consists of over 400,000 lines of potential question duplicate pairs. Each line contains IDs for each question in the pair, the full text for each question, and a binary value that indicates whether the line truly contains a duplicate pair.*
- **Paper:** 
- **Data:** *https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/quora_duplicates_triplets.jsonl.gz*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/QQP_triplets).
Add Altlex dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *Altlex*
- **Description:** *Git repository for software associated with the 2016 ACL paper "Identifying Causal Relations Using Parallel Wikipedia Articles.”*
- **Paper:** *https://aclanthology.org/P16-1135.pdf*
- **Data:** *https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/altlex.jsonl.gz*
- **Motivation:** *Dataset for training and evaluating models of conversational response*



Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/altlex).
Add Sentence Compression Dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *Sentence Compression*
- **Description:** *Large corpus of uncompressed and compressed sentences from news articles.*
- **Paper:** *https://www.aclweb.org/anthology/D13-1155/*
- **Data:** *https://github.com/google-research-datasets/sentence-compression/tree/master/data*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/sentence-compression).
Add Flickr 30k Dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *Flickr 30k*
- **Description:** *To produce the denotation graph, we have created an image caption corpus consisting of 158,915 crowd-sourced captions describing 31,783 images. This is an extension of our previous Flickr 8k Dataset. The new images and captions focus on people involved in everyday activities and events.*
- **Paper:** *https://transacl.org/ojs/index.php/tacl/article/view/229/33*
- **Data:** *https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/flickr30k_captions.jsonl.gz*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/flickr30k-captions).
Add SPECTER dataset
State: open | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *SPECTER*
- **Description:** *SPECTER: Document-level Representation Learning using Citation-informed Transformers*
- **Paper:** *https://doi.org/10.18653/v1/2020.acl-main.207*
- **Data:** *https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/specter_train_triples.jsonl.gz*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/SPECTER)
Add PAQ dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *PAQ*
- **Description:** *This repository contains code and models to support the research paper PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them*
- **Paper:** *https://arxiv.org/abs/2102.07033*
- **Data:** *https://huggingface.co/datasets/sentence-transformers/embedding-training-data/resolve/main/PAQ_pairs.jsonl.gz*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/PAQ_pairs)
Add WikiAnswers dataset
State: closed | Author: omarespejel (NONE)
Labels: name: dataset request

## Adding a Dataset
- **Name:** *WikiAnswers*
- **Description:** *The WikiAnswers corpus contains clusters of questions tagged by WikiAnswers users as paraphrases. Each cluster optionally contains an answer provided by WikiAnswers users.*
- **Paper:** *https://dl.acm.org/doi/10.1145/2623330.2623677*
- **Data:** *https://github.com/afader/oqa#wikianswers-corpus*
- **Motivation:** *Dataset for training and evaluating models of conversational response*


Comments: uploaded dataset [here](https://huggingface.co/datasets/embedding-data/WikiAnswers)