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Traceback (most recent call last):
File "/home/gs603/ahf/pretrained/model.py", line 48, in <module>
dataset = load_dataset("json",data_files="dataset/dataset_infos.json")
File "/home/gs603/miniconda3/envs/coderepair/lib/python3.7/site-packages/datasets/load.py", line 1675, in load_dataset
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It is possible to create an `Array2D` column from a list of arrays of dimension 1. Similarly, I think it might be nice to be able to create a `Array3D` column from a list of lists of arrays of dimension 1.
To illustrate my proposal, let's take the... | {
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Close #4029. | {
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Fix #3969.
CC: @severo | {
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This PR discards the `bytes` when the audio or image file exists locally.
In particular it's common for audio datasets builder... | {
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https://api.github.com/repos/huggingface/datasets/issues/4185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4185/comments | https://api.github.com/repos/huggingface/datasets/issues/4185/events | https://github.com/huggingface/datasets/issues/4185 | 1,209,429,743 | I_kwDODunzps5IFm7v | 4,185 | Librispeech documentation, clarification on format | {
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> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not converted to a float32 array. To convert, the audi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4184/comments | https://api.github.com/repos/huggingface/datasets/issues/4184/events | https://github.com/huggingface/datasets/pull/4184 | 1,208,592,669 | PR_kwDODunzps42cB2j | 4,184 | [Librispeech] Add 'all' config | {
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https://api.github.com/repos/huggingface/datasets/issues/4183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4183/comments | https://api.github.com/repos/huggingface/datasets/issues/4183/events | https://github.com/huggingface/datasets/pull/4183 | 1,208,449,335 | PR_kwDODunzps42bjXn | 4,183 | Document librispeech configs | {
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https://api.github.com/repos/huggingface/datasets/issues/4182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4182/comments | https://api.github.com/repos/huggingface/datasets/issues/4182/events | https://github.com/huggingface/datasets/issues/4182 | 1,208,285,235 | I_kwDODunzps5IBPgz | 4,182 | Zenodo.org download is not responding | {
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Source download_url from zenodo.org does not respond.
`_DOWNLOAD_URL = "https://zenodo.org/record/2787612/files/SICK.zip?download=1"`
Other datasets also use zenodo.org to store data and they cannot be downloaded as well.
It would be better to actually use more reliable way to store original ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4181/comments | https://api.github.com/repos/huggingface/datasets/issues/4181/events | https://github.com/huggingface/datasets/issues/4181 | 1,208,194,805 | I_kwDODunzps5IA5b1 | 4,181 | Support streaming FLEURS dataset | {
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https://huggingface.co/datasets/google/fleurs
```
Status code: 400
Exception: NotImplementedError
Message: Extraction protocol for TAR archives like 'https://storage.googleapis.com/xtreme_translations/FLEURS/af_za.tar.gz' is not implemented in str... | {
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https://api.github.com/repos/huggingface/datasets/issues/4180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4180/comments | https://api.github.com/repos/huggingface/datasets/issues/4180/events | https://github.com/huggingface/datasets/issues/4180 | 1,208,042,320 | I_kwDODunzps5IAUNQ | 4,180 | Add some iteration method on a dataset column (specific for inference) | {
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... | closed | false | [] | null | 5 | 2022-04-19T09:15:45 | 2025-06-17T13:08:50 | 2025-06-17T13:08:50 | null | CONTRIBUTOR | [] | null | null | null | null | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
Currently, `dataset["audio"]` will load EVERY element in the dataset in RAM, which can be quite big for an audio dataset.
Having an iterator (or sequence) type of object, would make inference ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4179/comments | https://api.github.com/repos/huggingface/datasets/issues/4179/events | https://github.com/huggingface/datasets/issues/4179 | 1,208,001,118 | I_kwDODunzps5IAKJe | 4,179 | Dataset librispeech_asr fails to load | {
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The dataset librispeech_asr (standard Librispeech) fails to load.
## Steps to reproduce the bug
```python
datasets.load_dataset("librispeech_asr")
```
## Expected results
It should download and prepare the whole dataset (all subsets).
In [the doc](https://huggingface.co/datasets/libris... | {
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https://api.github.com/repos/huggingface/datasets/issues/4178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4178/comments | https://api.github.com/repos/huggingface/datasets/issues/4178/events | https://github.com/huggingface/datasets/pull/4178 | 1,207,787,073 | PR_kwDODunzps42ZfFN | 4,178 | [feat] Add ImageNet dataset | {
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"merged_at": "2022-04-29T21:37... | To use the dataset download the tar file
[imagenet_object_localization_patched2019.tar.gz](https://www.kaggle.com/competitions/imagenet-object-localization-challenge/data?select=imagenet_object_localization_patched2019.tar.gz) from Kaggle and then point the datasets library to it by using:
```py
from datasets impo... | {
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https://api.github.com/repos/huggingface/datasets/issues/4177 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4177/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4177/comments | https://api.github.com/repos/huggingface/datasets/issues/4177/events | https://github.com/huggingface/datasets/pull/4177 | 1,207,535,920 | PR_kwDODunzps42Yxca | 4,177 | Adding missing subsets to the `SemEval-2018 Task 1` dataset | {
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} | This dataset for the [1st task of SemEval-2018](https://competitions.codalab.org/competitions/17751) competition was missing all subtasks except for subtask 5. I added another two subtasks (subtask 1 and 2), which are each comprised of 12 additional data subsets: for each language in En, Es, Ar, there are 4 datasets, b... | null | {
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Also, there is a significant lag between them. Am I missing something ?
```
raw_datasets = raw_datasets.map(split_func... | {
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} | closes #2981 #2810
@nateraw @hassiahk I've listed you guys as co-author as you've contributed previously to this dataset | {
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**Link:** *https://huggingface.co/datasets/timit_asr*
Issue: The timit-asr dataset cannot be previewed recently.
Am I the one who added this dataset ? Yes-No
No | {
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A clear and concise description of what the problem is.
We now have hate speech datasets on the hub, like this one: https://huggingface.co/datasets/HannahRoseKirk/HatemojiBuild
I'm wondering if there is an option to select a content warning messa... | null | {
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[**Link:** *link to the dataset viewer page*](https://huggingface.co/datasets/ceyda/smithsonian_butterflies_transparent)
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```python
import pyarrow as pa
from datasets import Array2D
from datasets.table import cast_array_to_feature
arr = pa.array([[[0]]])
feature_type = Array2D(shape=(1, 1), dtype="int64")
cast_array_to_feature(a... | {
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Splits for dataset loaders without scripts are prepared inconsistently. I think it might be confusing for users.
## Steps to reproduce the bug
* If you load a packaged datasets from Hub, it infers splits from directory structure / filenames (check out the data [here](https://huggingface.co/data... | {
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I am trying to use datasets to load winoground and I'm getting a JSON decoding error.
## Steps to reproduce the bug
```python
from datasets import load_dataset
token = 'hf_XXXXX' # my HF access token
datasets = load_dataset('facebook/winoground', use_auth_token=token)
```
## Expected res... | {
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I would like to see the example in "Metric Card for BLEU" changed.
The 0th element in the predictions list is not closed in square brackets, and the 1st list is missing a comma.
The BLEU score are calculated correctly, but it is difficult to understa... | {
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(Edit to add: The link in the PR deployment (https://moon-ci-docs.huggingface.co/docs/da... | {
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**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
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"merged_at": "2022-04-28T21:02... | fixes #4150
I suggest to infer splits structure from files when `data_dir` is passed with `get_patterns_locally`, analogous to what's done in `LocalDatasetModuleFactoryWithoutScript` with `self.path`, instead of generating files with `data_dir/**` patterns and putting them all into a single default (train) split.
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Unable to download `Wikepedia` dataset, 20220301.en version
## Steps to reproduce the bug
```python
!pip install apache_beam mwparserfromhell
dataset_wikipedia = load_dataset("wikipedia", "20220301.en")
```
## Actual results
```
ValueError: BuilderConfig 20220301.en not found.
Avail... | {
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- **Name:** ObjectFolder 2.0
- **Description:** ObjectFolder 2.0 is a dataset of 1,000 objects in the form of implicit representations. It contains 1,000 Object Files each containing the complete multisensory profile for an object instance.
- **Paper:** [*link to the dataset paper if available*](... | null | {
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**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
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A clear and concise description of what the bug is.
I met the error below when loading arxiv dataset via `nlp.load_dataset('scientific_papers', 'arxiv',)`.
```
Traceback (most recent call last):
File "scripts/summarization.py", line 354, in <module>
main(args)
File "scripts/summari... | {
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**Link:** [*link to the dataset viewer page*](https://huggingface.co/datasets/facebook/winoground/viewer/facebook--winoground/train)
*short description of the issue*
Getting 401, message='Unauthorized'
The dataset is subject to authorization, but I can access the files f... | {
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**Link:** https://huggingface.co/datasets/MalakhovIlya/RuREBus
**Description**
Using os.walk(topdown=False) in DatasetBuilder causes following error:
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Exception: TypeError
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**Link:** [https://huggingface.co/datasets/hans](https://huggingface.co/datasets/hans)
HANS dataset preview is broken with error 400
Am I the one who added this dataset ? No
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Fix #4122. | {
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**Link:** https://huggingface.co/datasets/common_voice
Server Error
Status code: 400
Exception: TypeError
Message: __init__() got an unexpected keyword argument 'audio_column'
Am I the one who added this dataset ? No
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https://api.github.com/repos/huggingface/datasets/issues/4125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4125/comments | https://api.github.com/repos/huggingface/datasets/issues/4125/events | https://github.com/huggingface/datasets/pull/4125 | 1,196,633,936 | PR_kwDODunzps411qeR | 4,125 | BIG-bench | {
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When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | {
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C4-en is a 300 GB dataset. However, when I try to download it through the hub it takes over _six hours_ to generate the train/test split from the downloaded files. This is an absurd amount of time and an unnecessary waste of resources.
## Steps to reproduce the bug
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After downloading the files from Google Drive, `load_dataset("medical_dialog", "zh", data_dir="./")` takes an unreasonable amount of time. Generating the train/test split for 33% of the dataset takes over 4.5 hours.
## Steps to reproduce the bug
The easiest way I've found to download files from... | {
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https://api.github.com/repos/huggingface/datasets/issues/4121 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4121/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4121/comments | https://api.github.com/repos/huggingface/datasets/issues/4121/events | https://github.com/huggingface/datasets/issues/4121 | 1,196,000,018 | I_kwDODunzps5HSYMS | 4,121 | datasets.load_metric can not load a local metirc | {
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No matter how I hard try to tell load_metric that I want to load a local metric file, it still continues to fetch things on the Internet. And unfortunately it says 'ConnectionError: Couldn't reach'. However I can download this file without connectionerror and tell load_metric its local directory. A... | {
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F... | {
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https://api.github.com/repos/huggingface/datasets/issues/4119 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4119/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4119/comments | https://api.github.com/repos/huggingface/datasets/issues/4119/events | https://github.com/huggingface/datasets/pull/4119 | 1,195,641,298 | PR_kwDODunzps41yXHF | 4,119 | Hotfix failing CI tests on Windows | {
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Fix #4118
I guess this issue is related to this PR:
- huggingface/huggingface_hub#815 | {
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Our CI Windows tests are failing from yesterday: https://app.circleci.com/pipelines/github/huggingface/datasets/11092/workflows/9cfdb1dd-0fec-4fe0-8122-5f533192ebdc/jobs/67414
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Could you help me please. I got this following error.
AttributeError: module 'huggingface_hub' has no attribute 'hf_api'
## Steps to reproduce the bug
when I imported the datasets
# Sample code to reproduce the bug
from datasets import list_datasets, load_dataset, list_metrics, load_metr... | {
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"merged_at": "2022-04-08T11:21... | Adds indentation to the `dataset_infos.json` file when saving for nicer diffs.
(suggested by @julien-c)
This PR also updates the info files of the GH datasets. Note that this change adds more than **10 MB** to the repo size (the total file size before the change: 29.672298 MB, after: 41.666475 MB), so I'm not sur... | {
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I sometimes like to peek at the dataset images from jupyterlab. thus '.ipynb_checkpoints' folder appears where my dataset is and (just realized) leads to accidental duplicate image additions. I think this is an easy enough thing to miss especially if t... | {
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... | open | false | [] | null | 15 | 2022-04-06T16:38:46 | 2026-09-30T23:50:43 | null | null | CONTRIBUTOR | [] | null | null | null | null | **Is your feature request related to a problem? Please describe.**
Some people are interested in doing label analysis of a CV dataset without downloading all the images. Downloading the whole dataset does not always makes sense for this kind of use case
**Describe the solution you'd like**
Be able to just download... | null | {
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```python
from multiprocessing import Pool
from filelock import FileLock
def run(i):
print(f"got the lock in multi process [{i}]")
with FileLock("tmp.lock"):
with Pool(2) as pool:
pool.map(run, range(2))
```
This is because the subprocesses try to ac... | {
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https://api.github.com/repos/huggingface/datasets/issues/4112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4112/comments | https://api.github.com/repos/huggingface/datasets/issues/4112/events | https://github.com/huggingface/datasets/issues/4112 | 1,194,752,765 | I_kwDODunzps5HNnr9 | 4,112 | ImageFolder with Grayscale images dataset | {
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I'm getting an error while I want to use images for training a model with PyTorch DataLoader. Here is the full traceback:
```bash
AttributeError: Caught AttributeError in D... | {
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https://api.github.com/repos/huggingface/datasets/issues/4111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4111/comments | https://api.github.com/repos/huggingface/datasets/issues/4111/events | https://github.com/huggingface/datasets/pull/4111 | 1,194,660,699 | PR_kwDODunzps41vJCt | 4,111 | Update security policy | {
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https://api.github.com/repos/huggingface/datasets/issues/4110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4110/comments | https://api.github.com/repos/huggingface/datasets/issues/4110/events | https://github.com/huggingface/datasets/pull/4110 | 1,194,581,375 | PR_kwDODunzps41u4Je | 4,110 | Matthews Correlation Metric Card | {
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https://api.github.com/repos/huggingface/datasets/issues/4109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4109/comments | https://api.github.com/repos/huggingface/datasets/issues/4109/events | https://github.com/huggingface/datasets/pull/4109 | 1,194,579,257 | PR_kwDODunzps41u3sm | 4,109 | Add Spearmanr Metric Card | {
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https://api.github.com/repos/huggingface/datasets/issues/4108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4108/comments | https://api.github.com/repos/huggingface/datasets/issues/4108/events | https://github.com/huggingface/datasets/pull/4108 | 1,194,578,584 | PR_kwDODunzps41u3j2 | 4,108 | Perplexity Speedup | {
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"merged_at": "2022-04-20T12:54... | This PR makes necessary changes to perplexity such that:
- it runs much faster (via batching)
- it throws an error when input is empty, or when input is one word without <BOS> token
- it adds the option to add a <BOS> token
Issues:
- The values returned are extremely high, and I'm worried they aren't correct. Ev... | {
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https://api.github.com/repos/huggingface/datasets/issues/4107 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4107/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4107/comments | https://api.github.com/repos/huggingface/datasets/issues/4107/events | https://github.com/huggingface/datasets/issues/4107 | 1,194,484,885 | I_kwDODunzps5HMmSV | 4,107 | Unable to view the dataset and loading the same dataset throws the error - ArrowInvalid: Exceeded maximum rows | {
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**Link:** *https://huggingface.co/datasets/Pavithree/explainLikeImFive*
*This is the subset of original eli5 dataset https://huggingface.co/datasets/vblagoje/lfqa. I just filtered the data samples which belongs to one particular subreddit thread. How... | {
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https://api.github.com/repos/huggingface/datasets/issues/4106 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4106/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4106/comments | https://api.github.com/repos/huggingface/datasets/issues/4106/events | https://github.com/huggingface/datasets/pull/4106 | 1,194,393,892 | PR_kwDODunzps41uPpa | 4,106 | Support huggingface_hub 0.5 | {
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"merged_at": "2022-04-08T10:22... | Following https://github.com/huggingface/datasets/issues/4105
`huggingface_hub` deprecated some parameters in `HfApi` in 0.5. This PR updates all the calls to HfApi to remove all the deprecations, <s>and I set the `hugginface_hub` requirement to `>=0.5.0`</s>
cc @adrinjalali @LysandreJik | {
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https://api.github.com/repos/huggingface/datasets/issues/4105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4105/comments | https://api.github.com/repos/huggingface/datasets/issues/4105/events | https://github.com/huggingface/datasets/issues/4105 | 1,194,297,119 | I_kwDODunzps5HL4cf | 4,105 | push to hub fails with huggingface-hub 0.5.0 | {
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`ds.push_to_hub` is failing when updating a dataset in the form "org_id/repo_id"
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset("rubrix/news_test")
ds.push_to_hub("<your-user>/news_test", token="<your-token>")
```
## Expected results
The data... | {
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https://api.github.com/repos/huggingface/datasets/issues/4104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4104/comments | https://api.github.com/repos/huggingface/datasets/issues/4104/events | https://github.com/huggingface/datasets/issues/4104 | 1,194,072,966 | I_kwDODunzps5HLBuG | 4,104 | Add time series data - stock market | {
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- **Name:** 2min ticker data for stock market
- **Description:** 8 stocks' data collected for 1month post ukraine-russia war. 4 NSE stocks and 4 NASDAQ stocks. Along with technical indicators (additional features) as shown in below image
- **Data:** Collected by myself from investing... | null | {
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I do not need the extra split and it will take 40 mins just to download in Colab. I have very short time in hand. Please help. | null | {
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* fix the formatting of the Point of Contact fields on the Hub
* speed up the image fetching logic (aligns it with the [img2dataset](https://github.com/rom1504/img2dataset) tool) and make it more robust (return None if **any** exception is thrown) | {
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Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
datasets = load_dataset("nielsr/XFUN", "xfun.ja")
```
## Expected resu... | {
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Lots of geospatial data is stored in the Zarr format. This format works well for n-dimensional data and coordinates, and can have good compression. Unfortunately, HF datasets doesn't support streaming in data in Zarr format as far as I can tell. Zarr s... | {
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- **Name:** *name of the dataset*
- **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*
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**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
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