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Arxiv: [https://arxiv.org/abs/1912.04639](https://arxiv.org/abs/1912.04639)
Github: [https://github.com/Guzpenha/MANtIS](https://github.com/Guzpenha/MANtIS)
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Any documentations for the the `load_dataset(streaming=True)` for (multi-node multi-GPU) DDP training?
### Motivation
Given a bunch of data files, it is expected to split them onto different GPUs. Is there a guide or documentation?
### Your contribution
Does it requires manually spli... | {
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A clear and concise description of what the bug is.
When I create a dataset, then add a column to the created dataset through the `dataset.add_column` feature and then try to cast a column of the dataset (this column contains image paths) with `Image()` by using the `cast_column()` feature, I ge... | {
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https://huggingface.co/datasets/rajistics/indian_food_images/viewer/rajistics--indian_food_images/train
### Description
I have a train/test split in my dataset
<img width="410" alt="Screen Shot 2022-07-15 at 11 44 42 AM" src="https://user-images.githubusercontent.com/6808012/179293215-7b419ec3-3527-46f2-8... | {
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- `is_extractable`: abstract class method
- `extract`: abstract static method
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Note that all compression formats are tested except "rar". | {
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- Removes an unused method from `DummyTestFS`
- Refactors `mock_fsspec` to make it simpler | {
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Hi, if I want to change some values of the dataset, or add new columns to it, how can I do it?
For example, I want to change all the labels of the SST2 dataset to `0`:
```python
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] | 2022-07-15T00:41:29Z | 2022-07-18T17:26:00Z | 2022-07-18T13:24:10Z | MEMBER | null | This PR proposes removing the [online dataset card creator](https://huggingface.co/datasets/card-creator/) in favor of simply copy/pasting a template and using the [Datasets Tagger app](https://huggingface.co/spaces/huggingface/datasets-tagging) to generate the tags. The Tagger app provides more guidance by showing all... | {
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] | 2022-07-14T13:26:47Z | 2022-07-14T13:26:47Z | null | CONTRIBUTOR | null | I have a dataset online (CloverSearch/cc-news-mutlilingual) that has a bunch of columns, two of which are "score_title_maintext" and "score_title_description". the original files are jsonl formatted. I was trying to iterate through via streaming mode and grab all "score_title_description" values, but I kept getting key... | {
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] | 2022-07-14T10:57:55Z | 2022-07-25T12:37:54Z | 2022-07-25T12:37:54Z | NONE | null | ## Describe the bug
Loading an image dataset with `imagefolder` throws `IndexError: list index out of range` when the given folder contains a non-image file (like a csv).
## Steps to reproduce the bug
Put a csv file in a folder with images and load it:
```python
import datasets
datasets.load_dataset("imagefold... | {
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https://api.github.com/repos/huggingface/datasets/issues/4680 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4680/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4680/comments | https://api.github.com/repos/huggingface/datasets/issues/4680/events | https://github.com/huggingface/datasets/issues/4680 | 1,304,534,770 | I_kwDODunzps5NwZ7y | 4,680 | Dataset Viewer issue for codeparrot/xlcost-text-to-code | {
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https://huggingface.co/datasets/codeparrot/xlcost-text-to-code
### Description
Error
```
Server Error
Status code: 400
Exception: TypeError
Message: 'NoneType' object is not iterable
```
Before I did a minor change in the dataset script (removing some comments), the viewer was working but... | {
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] | 2022-07-13T21:49:37Z | 2022-07-21T15:55:26Z | 2022-07-21T10:55:02Z | NONE | null | Added the ability for a DatasetDict to remove additional nested layers within its features to avoid conflicts when collating. It is meant to accompany [this PR](https://github.com/huggingface/transformers/pull/18119) to resolve the same issue [#15505](https://github.com/huggingface/transformers/issues/15505).
@stas0... | {
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] | 2022-07-13T17:34:18Z | 2022-07-14T13:07:21Z | null | NONE | null | ## Describe the bug
I am trying to pass a streaming version of c4 to a dataloader, but it can't be passed after I call `dataset.take(n)`. Some functions such as `shuffle()` can be applied without breaking the dataloader but not take.
## Steps to reproduce the bug
```python
import datasets
import torch
dset = ... | {
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] | 2022-07-12T15:56:44Z | 2023-02-07T13:54:10Z | 2023-02-07T13:54:10Z | NONE | null | ## Describe the bug
When pushing a dataset, the client errors randomly with `Bad Request for url:...`.
At the next call, a new parquet file is created for each shard.
The client may fail at any random shard.
## Steps to reproduce the bug
```python
dataset.push_to_hub("ORG/DATASET", private=True, branch="main")
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] | 2022-07-12T15:09:58Z | 2022-10-03T13:01:04Z | 2022-10-03T13:01:03Z | NONE | null | ## Describe the bug
`Dataset.map`, when fed a Huggingface Tokenizer as its map func, can sometimes spend huge amounts of time doing casts. A minimal example follows.
Not all usages suffer from this. For example, I profiled the preprocessor at https://github.com/huggingface/notebooks/blob/main/examples/question_an... | {
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] | 2022-07-12T15:04:04Z | 2022-07-14T14:17:46Z | null | NONE | null | ## Describe the bug
When using `.with_format("torch")`, an arrow table is returned and I am unable to use it by passing it to a PyTorch DataLoader: please see the code below.
## Steps to reproduce the bug
```python
from datasets import load_dataset
from torch.utils.data import DataLoader
ds = load_dataset(
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] | 2022-07-11T22:10:44Z | 2023-02-28T18:06:55Z | 2023-02-28T18:06:55Z | NONE | null | ## Describe the bug
I am trying to load sentiment analysis datasets from huggingface, but any dataset I try to use via load_dataset, I get the same error:
`AttributeError: module 'pyarrow.lib' has no attribute 'IpcReadOptions'`
## Steps to reproduce the bug
```python
dataset = load_dataset("glue", "cola")
```
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] | 2022-07-11T17:30:24Z | 2022-07-12T13:33:09Z | 2022-07-12T13:33:08Z | NONE | null | ## Describe the bug
If you use:
`conll_dataset.to_csv("ner_conll.csv")`
It will create a csv file with all of your data as expected, however when you load it with:
`conll_dataset = load_dataset("csv", data_files="ner_conll.csv")`
everything is read in as a string. For example if I look at everything in 'n... | {
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https://api.github.com/repos/huggingface/datasets/issues/4672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4672/comments | https://api.github.com/repos/huggingface/datasets/issues/4672/events | https://github.com/huggingface/datasets/pull/4672 | 1,300,911,467 | PR_kwDODunzps47NEfV | 4,672 | Support extract 7-zip compressed data files | {
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] | 2022-07-11T15:56:51Z | 2022-07-15T13:14:27Z | 2022-07-15T13:02:07Z | MEMBER | null | Fix partially #3541, fix #4670. | {
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] | 2022-07-11T08:34:11Z | 2022-09-13T13:27:02Z | 2022-09-08T08:16:06Z | MEMBER | null | ### 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 cod... | {
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https://api.github.com/repos/huggingface/datasets/issues/4670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4670/comments | https://api.github.com/repos/huggingface/datasets/issues/4670/events | https://github.com/huggingface/datasets/issues/4670 | 1,299,984,246 | I_kwDODunzps5NfC92 | 4,670 | Can't extract files from `.7z` zipfile using `download_and_extract` | {
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] | 2022-07-10T18:16:49Z | 2022-07-15T13:02:07Z | 2022-07-15T13:02:07Z | CONTRIBUTOR | null | ## 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 d... | {
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https://api.github.com/repos/huggingface/datasets/issues/4669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4669/comments | https://api.github.com/repos/huggingface/datasets/issues/4669/events | https://github.com/huggingface/datasets/issues/4669 | 1,299,848,003 | I_kwDODunzps5NehtD | 4,669 | loading oscar-corpus/OSCAR-2201 raises an error | {
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] | 2022-07-10T07:09:30Z | 2022-07-11T09:27:49Z | 2022-07-11T09:27:49Z | NONE | null | ## 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
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https://huggingface.co/hungnm/multilingual-amazon-review-sentiment
### Description
_No response_
### Owner
Yes | {
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_No response_
### Description
_No response_
### Owner
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] | 2022-07-09T17:45:14Z | 2022-07-12T17:16:15Z | 2022-07-12T17:16:14Z | NONE | null | ## 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#datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/4665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4665/comments | https://api.github.com/repos/huggingface/datasets/issues/4665/events | https://github.com/huggingface/datasets/issues/4665 | 1,299,652,638 | I_kwDODunzps5NdyAe | 4,665 | Unable to create dataset having Python dataset script only | {
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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 a... | {
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] | 2022-07-09T04:46:07Z | 2022-07-15T13:30:32Z | 2022-07-15T13:15:42Z | CONTRIBUTOR | null | 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. | {
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I used to see this bug with an older version of the datasets. It seems to persist.
This is my concrete scenario: I launch several evaluation jobs on a cluster in which I share the file system and I share the cache directory used by huggingface libraries. The evaluation jobs read the same *.csv ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4660 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4660/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4660/comments | https://api.github.com/repos/huggingface/datasets/issues/4660/events | https://github.com/huggingface/datasets/pull/4660 | 1,297,128,387 | PR_kwDODunzps47AYDq | 4,660 | Fix _resolve_single_pattern_locally on Windows with multiple drives | {
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```
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
C:\hostedtoolcache\windows\Python\3.6.8\x64\lib\site-packages\datasets\io\parquet.py:35: in __init_... | {
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**IMPORTANT NOTE**: The fast-fail policy (described below) is not finally implemented, so that:
- we c... | {
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- **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 ... | {
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- **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... | {
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- **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... | {
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- **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 du... | {
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] | 2022-07-07T02:23:02Z | 2022-07-14T02:12:39Z | 2022-07-14T02:12:39Z | NONE | null | ## 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/embed... | {
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] | 2022-07-07T02:13:46Z | 2022-07-14T02:11:48Z | 2022-07-14T02:11:48Z | NONE | null | ## 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*
- **Motivat... | {
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] | 2022-07-07T01:59:08Z | 2022-07-14T02:09:45Z | 2022-07-14T02:09:45Z | NONE | null | ## 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 ... | {
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- **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/spe... | {
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] | 2022-07-07T01:29:42Z | 2022-07-14T02:06:27Z | 2022-07-14T02:06:27Z | NONE | null | ## 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/... | {
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- **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:** *ht... | {
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- **Name:** *Reddit comments (2015-2018)*
- **Description:** *Reddit is an American social news aggregation website, where users can post links, and take part in discussions on these posts. These threaded discussions provide a large corpus, which is converted into a conversational dataset using th... | {
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```
AssertionError: 'https://raw.githubusercontent.com/huggingface/datasets/main/datasets/_dummy/_dummy.py' not found in "Couldn't find a dataset script at /home/circleci/datasets/_dummy/_dummy.py or any data file in the same directory. Couldn't find '_dummy' on th... | {
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- set the default dataset script version to "main" if the local installation of `datasets` is a dev installation
- update URLs to this github repository to use "main"
- update the DVC benchmark
- update the github workflows
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https://huggingface.co/datasets/ccdv/pubmed-summarization
### Description
This was reported by a [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/7). It seems like streaming doesn't work due to the way the dataset loading script is defined?
```
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https://huggingface.co/datasets/kmfoda/booksum
### Description
A [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/9) discovered this dataset cannot be streamed due to:
```
Status code: 400
Exception: ClientResponseError
Message: 401, messa... | {
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- **Name:** HaGRID -- HAnd Gesture Recognition Image Dataset
- **Description:** We introduce a large image dataset HaGRID (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems. You can use it for image classification or image detection tasks. Proposed dataset allows t... | {
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I believe it will be easier to use if it could be available on Hugging Face. | {
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Not sure if this is a bug or just the way streaming works, but setting `streaming=True` did not work when setting `split="all"`
## Steps to reproduce the bug
The following works:
```python
ds = load_dataset('super_glue', 'wsc.fixed', split='all')
```
The following throws `ValueError: Bad ... | {
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I went to override `download_config.num_proc` and was confused about what was happening under the hood. It would be nice to have the behavior documented a bit better so folks know what's happening when they use it.
**Describe the solution you'd li... | {
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https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No response_ | {
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In this PR I made ... | {
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] | 2022-07-04T20:24:40Z | 2022-07-07T13:23:32Z | 2022-07-07T13:11:47Z | NONE | null | I'm adding some information about Winobias that I got from the paper :smile:
I think this makes it a bit clearer! | {
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https://api.github.com/repos/huggingface/datasets/issues/4630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4630/comments | https://api.github.com/repos/huggingface/datasets/issues/4630/events | https://github.com/huggingface/datasets/pull/4630 | 1,293,470,728 | PR_kwDODunzps460HFM | 4,630 | fix(dataset_wrappers): Fixes access to fsspec.asyn in torch_iterable_dataset.py. | {
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] | 2022-07-04T18:26:55Z | 2022-07-05T15:19:52Z | 2022-07-05T15:08:21Z | CONTRIBUTOR | null | Fix #4612.
Apparently, newest `fsspec` versions do not allow access to attribute-based modules if they are not imported, such as `fsspec.async`.
Thus, @mariosasko suggested to add the missing part to the module import to allow for its access. | {
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] | 2022-07-04T17:16:10Z | 2022-07-06T15:49:57Z | 2022-07-06T15:49:57Z | MEMBER | null | Rename repository default branch to `main` (instead of current `master`).
Once renamed, users will have to manually update their local repos:
- [ ] Upstream:
```
git branch -m master main
git fetch upstream main
git branch -u upstream/main main
git remote set-head upstream -a
```
- [ ] Origin... | {
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https://api.github.com/repos/huggingface/datasets/issues/4628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4628/comments | https://api.github.com/repos/huggingface/datasets/issues/4628/events | https://github.com/huggingface/datasets/pull/4628 | 1,293,361,308 | PR_kwDODunzps46zvFJ | 4,628 | Fix time type `_arrow_to_datasets_dtype` conversion | {
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The issue stems from the fact that `pa.array([time_data]).type` returns `DataType(time64[unit])`, which doesn't expose the `unit` attribute, instead of `Time64Type(time64[unit])`. I believe this is a bug in PyArrow. Luckily, the both types have the same `str()`, so in this PR I call `pa.type_for_alias(str(... | {
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https://api.github.com/repos/huggingface/datasets/issues/4627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4627/comments | https://api.github.com/repos/huggingface/datasets/issues/4627/events | https://github.com/huggingface/datasets/pull/4627 | 1,293,287,798 | PR_kwDODunzps46zfNa | 4,627 | fixed duplicate calculation of spearmanr function in metrics wrapper. | {
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] | 2022-07-04T15:02:01Z | 2022-07-07T12:41:09Z | 2022-07-07T12:41:09Z | CONTRIBUTOR | null | During _compute, the scipy.stats spearmanr function was called twice, redundantly, once for calculating the score and once for calculating the p-value, under the conditional branch where return_pvalue=True. I adjusted the _compute function to execute the spearmanr function once, store the results tuple in a temporary v... | {
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https://api.github.com/repos/huggingface/datasets/issues/4626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4626/comments | https://api.github.com/repos/huggingface/datasets/issues/4626/events | https://github.com/huggingface/datasets/issues/4626 | 1,293,256,269 | I_kwDODunzps5NFYZN | 4,626 | Add non-commercial licensing info for datasets for which we removed tags | {
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] | 2022-07-04T14:32:43Z | 2022-07-08T14:27:29Z | null | MEMBER | null | We removed several YAML tags saying that certain datasets can't be used for commercial purposes: https://github.com/huggingface/datasets/pull/4613#discussion_r911919753
Reason for this is that we only allow tags that are part of our [supported list of licenses](https://github.com/huggingface/datasets/blob/84fc3ad73c... | {
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https://api.github.com/repos/huggingface/datasets/issues/4625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4625/comments | https://api.github.com/repos/huggingface/datasets/issues/4625/events | https://github.com/huggingface/datasets/pull/4625 | 1,293,163,744 | PR_kwDODunzps46zELz | 4,625 | Unpack `dl_manager.iter_files` to allow parallization | {
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] | 2022-07-04T13:16:58Z | 2022-07-05T11:11:54Z | 2022-07-05T11:00:48Z | CONTRIBUTOR | null | Iterate over data files outside `dl_manager.iter_files` to allow parallelization in streaming mode.
(The issue reported [here](https://discuss.huggingface.co/t/dataset-only-have-n-shard-1-when-has-multiple-shards-in-repo/19887))
PS: Another option would be to override `FilesIterable.__getitem__` to make it indexa... | {
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https://api.github.com/repos/huggingface/datasets/issues/4624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4624/comments | https://api.github.com/repos/huggingface/datasets/issues/4624/events | https://github.com/huggingface/datasets/pull/4624 | 1,293,085,058 | PR_kwDODunzps46yzOK | 4,624 | Remove all paperswithcode_id: null | {
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] | 2022-07-04T12:11:32Z | 2023-09-24T10:05:19Z | 2022-07-04T13:10:38Z | MEMBER | null | On the Hub there is a validation error on the `paperswithcode_id` tag when the value is `null`:
<img width="686" alt="image" src="https://user-images.githubusercontent.com/42851186/177151825-93d341c5-25bd-41ab-96c2-c0b516d51c68.png">
We've been using `null` to specify that we checked on pwc but the dataset doesn'... | {
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] | 2022-07-04T11:33:10Z | 2022-07-04T14:40:50Z | null | NONE | null | ## Describe the bug
Conversion of MNIST dataset to pytorch fails with bug
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("mnist", split="train")
dataset.set_format('torch')
dataset[0]
print()
```
## Expected results
Expect to see torch tensors image and l... | {
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https://api.github.com/repos/huggingface/datasets/issues/4622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4622/comments | https://api.github.com/repos/huggingface/datasets/issues/4622/events | https://github.com/huggingface/datasets/pull/4622 | 1,293,031,939 | PR_kwDODunzps46ynmT | 4,622 | Fix ImageFolder with parameters drop_metadata=True and drop_labels=False (when metadata.jsonl is present) | {
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ImageFolder raises `KeyError: 'label'` with params `drop_metadata=True` and `drop_labels=False` (if there is at least one metadata.jsonl file a data directory). This happens because metadata files are collected inside `analyze()` function regardless of `drop_metadata` value. And then the following co... | {
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If you pass `drop_metadata=True` and `drop_labels=False` when a `data_dir` contains at least one `matadata.jsonl` file, you will get a KeyError. This is probably not a very useful case but we shouldn't get an error anyway. Asking users to move metadata files manually outside `data_dir` or pass fe... | {
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] | 2022-07-04T08:13:38Z | 2022-07-07T13:57:11Z | 2022-07-07T13:57:11Z | CONTRIBUTOR | null | ## Describe the bug
Creating a dataset from a pandas dataframe with `datetime.time` format generates an error.
## Steps to reproduce the bug
```python
import pandas as pd
from datetime import time
from datasets import Dataset
df = pd.DataFrame({"feature_name": [time(1, 1, 1)]})
dataset = Dataset.from_pandas... | {
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https://api.github.com/repos/huggingface/datasets/issues/4619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4619/comments | https://api.github.com/repos/huggingface/datasets/issues/4619/events | https://github.com/huggingface/datasets/issues/4619 | 1,292,107,275 | I_kwDODunzps5NA_4L | 4,619 | np arrays get turned into native lists | {
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] | 2022-07-02T17:54:57Z | 2022-07-03T20:27:07Z | null | NONE | null | ## Describe the bug
When attaching an `np.array` field, it seems that it automatically gets turned into a list (see below). Why is this happening? Could it lose precision? Is there a way to make sure this doesn't happen?
## Steps to reproduce the bug
```python
>>> import datasets, numpy as np
>>> dataset = datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/4618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4618/comments | https://api.github.com/repos/huggingface/datasets/issues/4618/events | https://github.com/huggingface/datasets/issues/4618 | 1,292,078,225 | I_kwDODunzps5NA4yR | 4,618 | contribute data loading for object detection datasets with yolo data format | {
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] | 2022-07-02T15:21:59Z | 2022-07-21T14:10:44Z | null | NONE | null | **Is your feature request related to a problem? Please describe.**
At the moment, HF datasets loads [image classification datasets](https://huggingface.co/docs/datasets/image_process) out-of-the-box. There could be a data loader for loading standard object detection datasets ([original discussion here](https://hugging... | {
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https://api.github.com/repos/huggingface/datasets/issues/4615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4615/comments | https://api.github.com/repos/huggingface/datasets/issues/4615/events | https://github.com/huggingface/datasets/pull/4615 | 1,291,307,428 | PR_kwDODunzps46tADt | 4,615 | Fix `embed_storage` on features inside lists/sequences | {
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] | 2022-07-01T11:52:08Z | 2022-07-08T12:13:10Z | 2022-07-08T12:01:36Z | CONTRIBUTOR | null | Add a dedicated function for embed_storage to always preserve the embedded/casted arrays (and to have more control over `embed_storage` in general).
Fix #4591
~~(Waiting for #4608 to be merged to mark this PR as ready for review - required for fixing `xgetsize` in private repos)~~ Done! | {
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https://api.github.com/repos/huggingface/datasets/issues/4614 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4614/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4614/comments | https://api.github.com/repos/huggingface/datasets/issues/4614/events | https://github.com/huggingface/datasets/pull/4614 | 1,291,218,020 | PR_kwDODunzps46ssfw | 4,614 | Ensure ConcatenationTable.cast uses target_schema metadata | {
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] | 2022-07-01T10:22:08Z | 2022-07-19T13:48:45Z | 2022-07-19T13:36:24Z | CONTRIBUTOR | null | Currently, `ConcatenationTable.cast` does not use target_schema metadata when casting subtables. This causes an issue when using cast_column and the underlying table is a ConcatenationTable.
Code example of where issue arrises:
```
from datasets import Dataset, Image
column1 = [0, 1]
image_paths = ['/images/im... | {
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https://api.github.com/repos/huggingface/datasets/issues/4613 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4613/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4613/comments | https://api.github.com/repos/huggingface/datasets/issues/4613/events | https://github.com/huggingface/datasets/pull/4613 | 1,291,181,193 | PR_kwDODunzps46skd6 | 4,613 | Align/fix license metadata info | {
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https://api.github.com/repos/huggingface/datasets/issues/4612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4612/comments | https://api.github.com/repos/huggingface/datasets/issues/4612/events | https://github.com/huggingface/datasets/issues/4612 | 1,290,984,660 | I_kwDODunzps5M8tzU | 4,612 | Release 2.3.0 broke custom iterable datasets | {
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] | 2022-07-01T06:46:07Z | 2022-07-05T15:08:21Z | 2022-07-05T15:08:21Z | NONE | null | ## Describe the bug
Trying to iterate examples from custom iterable dataset fails to bug introduced in `torch_iterable_dataset.py` since the release of 2.3.0.
## Steps to reproduce the bug
```python
next(iter(custom_iterable_dataset))
```
## Expected results
`next(iter(custom_iterable_dataset))` should retu... | {
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https://api.github.com/repos/huggingface/datasets/issues/4611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4611/comments | https://api.github.com/repos/huggingface/datasets/issues/4611/events | https://github.com/huggingface/datasets/pull/4611 | 1,290,940,874 | PR_kwDODunzps46rxIX | 4,611 | Preserve member order by MockDownloadManager.iter_archive | {
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] | 2022-07-01T05:48:20Z | 2022-07-01T16:59:11Z | 2022-07-01T16:48:28Z | MEMBER | null | Currently, `MockDownloadManager.iter_archive` yields paths to archive members in an order given by `path.rglob("*")`, which migh not be the same order as in the original archive.
See issue in:
- https://github.com/huggingface/datasets/pull/4579#issuecomment-1172135027
This PR fixes the order of the members yield... | {
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https://api.github.com/repos/huggingface/datasets/issues/4610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4610/comments | https://api.github.com/repos/huggingface/datasets/issues/4610/events | https://github.com/huggingface/datasets/issues/4610 | 1,290,603,827 | I_kwDODunzps5M7Q0z | 4,610 | codeparrot/github-code failing to load | {
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codeparrot/github-code fails to load with a `TypeError: get_patterns_in_dataset_repository() missing 1 required positional argument: 'base_path'`
## Steps to reproduce the bug
```python
from datasets import load_dataset
```
## Expected results
loaded dataset object
## Actual results
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/4609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4609/comments | https://api.github.com/repos/huggingface/datasets/issues/4609/events | https://github.com/huggingface/datasets/issues/4609 | 1,290,392,083 | I_kwDODunzps5M6dIT | 4,609 | librispeech dataset has to download whole subset when specifing the split to use | {
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] | 2022-06-30T16:38:24Z | 2022-07-12T21:44:32Z | 2022-07-12T21:44:32Z | NONE | null | ## Describe the bug
librispeech dataset has to download whole subset when specifing the split to use
## Steps to reproduce the bug
see below
# Sample code to reproduce the bug
```
!pip install datasets
from datasets import load_dataset
raw_dataset = load_dataset("librispeech_asr", "clean", split="train.100")
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https://api.github.com/repos/huggingface/datasets/issues/4607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4607/comments | https://api.github.com/repos/huggingface/datasets/issues/4607/events | https://github.com/huggingface/datasets/pull/4607 | 1,290,171,941 | PR_kwDODunzps46pLnd | 4,607 | Align more metadata with other repo types (models,spaces) | {
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] | 2022-06-30T13:52:12Z | 2022-07-01T12:00:37Z | 2022-07-01T11:49:14Z | MEMBER | null | see also associated PR on the `datasets-tagging` Space: https://huggingface.co/spaces/huggingface/datasets-tagging/discussions/2 (to merge after this one is merged) | {
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https://api.github.com/repos/huggingface/datasets/issues/4606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4606/comments | https://api.github.com/repos/huggingface/datasets/issues/4606/events | https://github.com/huggingface/datasets/issues/4606 | 1,290,083,534 | I_kwDODunzps5M5RzO | 4,606 | evaluation result changes after `datasets` version change | {
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] | 2022-06-30T12:43:26Z | 2023-07-25T15:05:26Z | 2023-07-25T15:05:26Z | NONE | null | ## Describe the bug
evaluation result changes after `datasets` version change
## Steps to reproduce the bug
1. Train a model on WikiAnn
2. reload the ckpt -> test accuracy becomes same as eval accuracy
3. such behavior is gone after downgrading `datasets`
https://colab.research.google.com/drive/1kYz7-aZRGdaya... | {
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https://api.github.com/repos/huggingface/datasets/issues/4605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4605/comments | https://api.github.com/repos/huggingface/datasets/issues/4605/events | https://github.com/huggingface/datasets/issues/4605 | 1,290,058,970 | I_kwDODunzps5M5Lza | 4,605 | Dataset Viewer issue for boris/gis_filtered | {
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] | 2022-06-30T12:23:34Z | 2022-07-06T12:34:19Z | 2022-07-06T12:34:19Z | NONE | null | ### Link
https://huggingface.co/datasets/boris/gis_filtered/viewer/boris--gis_filtered/train
### Description
When I try to access this from the website I get this error:
Status code: 400
Exception: ClientResponseError
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/4604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4604/comments | https://api.github.com/repos/huggingface/datasets/issues/4604/events | https://github.com/huggingface/datasets/pull/4604 | 1,289,963,962 | PR_kwDODunzps46oeju | 4,604 | Update CI Windows orb | {
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] | 2022-06-30T11:00:31Z | 2022-06-30T13:33:11Z | 2022-06-30T13:22:26Z | MEMBER | null | This PR tries to fix recurrent random CI failures on Windows.
After 2 runs, it seems to have fixed the issue.
Fix #4603. | {
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The windows CI is currently flaky: some dependencies like `aiobotocore`, `multiprocess` and `seqeval` sometimes fail to install.
In particular it seems that building the wheels fail. Here is an example of logs:
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Building wheel for seqeval (setup.py): started
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] | 2022-06-30T10:48:41Z | 2023-09-24T10:05:10Z | 2022-06-30T12:46:17Z | MEMBER | null | The windows CI is currently flaky: some dependencies like aiobotocore, multiprocess and seqeval sometimes fail to install.
In particular it seems that building the wheels fail. Here is an example of logs
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Building wheel for seqeval (setup.py): started
Running command 'C:\tools\miniconda3\envs\py37\python.exe... | {
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In particular it seems that building the wheels fail. Here is an example of logs
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] | 2022-06-29T19:09:21Z | 2022-07-04T17:41:20Z | 2022-07-04T17:29:41Z | MEMBER | null | This PR removes docs for a future feature and redirects to #4578 instead. See this [discussion](https://huggingface.slack.com/archives/C034N0A7H09/p1656107063801969) for more details :) | {
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the current implementation of smooth-BLEU contains a bug: it smoothes unigrams as well. Consequently, when both the reference and translation consist of totally different tokens, it anyway returns a non-zero value (please see the attached image).
This however contradicts the source paper suggesting the smoot... | {
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Fix #4597. | {
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] | 2022-06-29T12:45:43Z | 2022-07-01T09:29:36Z | 2022-07-01T09:29:36Z | MEMBER | null | ### Link
https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_allagree/train
### Description
As reported by a community member using [AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/5#62bc217436d0e5d316a768f0), there seems to be a problem streaming this dat... | {
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https://huggingface.co/datasets/universal_dependencies
### Description
invalid json response body at https://datasets-server.huggingface.co/splits?dataset=universal_dependencies reason: Unexpected token I in JSON at position 0
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https://huggingface.co/datasets/cakiki/rosetta-code
### Description
Hello, I just noticed an entry being redacted that shouldn't have been:
`RootMeanSquare@Range[10]` is being displayed as `[email protected][10]`
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https://api.github.com/repos/huggingface/datasets/issues/4594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4594/comments | https://api.github.com/repos/huggingface/datasets/issues/4594/events | https://github.com/huggingface/datasets/issues/4594 | 1,288,070,023 | I_kwDODunzps5MxmOH | 4,594 | load_from_disk suggests incorrect fix when used to load DatasetDict | {
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] | 2022-06-29T01:40:01Z | 2022-06-29T04:03:44Z | 2022-06-29T04:03:44Z | NONE | null | Edit: Please feel free to remove this issue. The problem was not the error message but the fact that the DatasetDict.load_from_disk does not support loading nested splits, i.e. if one of the splits is itself a DatasetDict. If nesting splits is an antipattern, perhaps the load_from_disk function can throw a warning indi... | {
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https://api.github.com/repos/huggingface/datasets/issues/4593 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4593/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4593/comments | https://api.github.com/repos/huggingface/datasets/issues/4593/events | https://github.com/huggingface/datasets/pull/4593 | 1,288,067,699 | PR_kwDODunzps46iIkn | 4,593 | Fix error message when using load_from_disk to load DatasetDict | {
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] | 2022-06-29T01:34:27Z | 2022-06-29T04:01:59Z | 2022-06-29T04:01:39Z | NONE | null | Issue #4594
Issue: When `datasets.load_from_disk` is wrongly used to load a `DatasetDict`, the error message suggests using `datasets.load_from_disk`, which is the same function that generated the error.
Fix: The appropriate function which should be suggested instead is `datasets.dataset_dict.load_from_disk`.
Chan... | {
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