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https://api.github.com/repos/huggingface/datasets/issues/2242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2242/comments | https://api.github.com/repos/huggingface/datasets/issues/2242/events | https://github.com/huggingface/datasets/issues/2242 | 862,870,205 | MDU6SXNzdWU4NjI4NzAyMDU= | 2,242 | Link to datasets viwer on Quick Tour page returns "502 Bad Gateway" | {
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"This should be fixed now!\r\n\r\ncc @srush "
] | 2021-04-20T14:19:51Z | 2021-04-20T15:02:45Z | 2021-04-20T15:02:45Z | null | NONE | [] | null | null | {
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} | Link to datasets viwer (https://huggingface.co/datasets/viewer/) on Quick Tour page (https://huggingface.co/docs/datasets/quicktour.html) returns "502 Bad Gateway"
The same error with https://huggingface.co/datasets/viewer/?dataset=glue&config=mrpc | {
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https://api.github.com/repos/huggingface/datasets/issues/7048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7048/comments | https://api.github.com/repos/huggingface/datasets/issues/7048/events | https://github.com/huggingface/datasets/issues/7048 | 2,408,487,547 | I_kwDODunzps6Pjpp7 | 7,048 | ImportError: numpy.core.multiarray when using `filter` | {
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"Could you please check your `numpy` version?",
"I got this issue while using numpy version 2.0. \r\n\r\nI solved it by switching back to numpy 1.26.0 :) ",
"We recently added support for numpy 2.0, but it is not released yet.",
"Ok I see, thanks! I think we can close this issue for now as switching back to v... | 2024-07-15T11:21:04Z | 2024-07-16T10:11:25Z | 2024-07-16T10:11:25Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I can't apply the filter method on my dataset.
### Steps to reproduce the bug
The following snippet generates a bug:
```python
from datasets import load_dataset
ami = load_dataset('kamilakesbi/ami', 'ihm')
ami['train'].filter(
lambda example: example["file_name"] == 'EN2001a'
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https://api.github.com/repos/huggingface/datasets/issues/181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/181/comments | https://api.github.com/repos/huggingface/datasets/issues/181/events | https://github.com/huggingface/datasets/issues/181 | 622,634,420 | MDU6SXNzdWU2MjI2MzQ0MjA= | 181 | Cannot upload my own dataset | {
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"It's my misunderstanding. I cannot just upload a csv. I need to write a dataset loading script too.",
"I now try with the sample `datasets/csv` folder. \r\n\r\n nlp-cli upload csv\r\n\r\nThe error is still the same\r\n\r\n```\r\n2020-05-21 17:20:56.394659: I tensorflow/stream_executor/platform/default/dso_loa... | 2020-05-21T16:45:52Z | 2020-06-18T22:14:42Z | 2020-06-18T22:14:42Z | null | NONE | [] | null | null | {
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} | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
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https://api.github.com/repos/huggingface/datasets/issues/7988 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7988/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7988/comments | https://api.github.com/repos/huggingface/datasets/issues/7988/events | https://github.com/huggingface/datasets/issues/7988 | 3,895,353,435 | I_kwDODunzps7oLmBb | 7,988 | `Dataset.map()` breaks when `function` calls `import polars as pl` and `num_proc`>1: "UnboundLocalError: cannot access local variable 'pl' where it is not associated with a value" | {
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} | ### Describe the bug
# Repro
These two conditions seem to consistently reproduce the issue:
- function passed to `Dataset.map()` explicitly or implicitly calls `import polars as pl`
- `num_proc` > 1
# Trace
```
RemoteTraceback Traceback (most recent call last)
RemoteTraceback:
"""
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https://api.github.com/repos/huggingface/datasets/issues/3242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3242/comments | https://api.github.com/repos/huggingface/datasets/issues/3242/events | https://github.com/huggingface/datasets/issues/3242 | 1,048,527,232 | I_kwDODunzps4-f0GA | 3,242 | Adding ANERcorp-CAMeLLab dataset | {
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"Adding ANERcorp dataset\r\n\r\n## Adding a Dataset\r\n- **Name:** *ANERcorp-CAMeLLab*\r\n- **Description:** *Since its creation in 2008, the ANERcorp dataset (Benajiba & Rosso, 2008) has been a standard reference used by Arabic named entity recognition researchers around the world. However, over time, this dataset... | 2021-11-09T12:04:04Z | 2021-11-09T12:41:15Z | null | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3311/comments | https://api.github.com/repos/huggingface/datasets/issues/3311/events | https://github.com/huggingface/datasets/issues/3311 | 1,060,387,957 | I_kwDODunzps4_NDx1 | 3,311 | Add WebSRC | {
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} | ## Adding a Dataset
- **Name:** WebSRC
- **Description:** WebSRC is a novel Web-based Structural Reading Comprehension dataset. It consists of 0.44M question-answer pairs, which are collected from 6.5K web pages with corresponding HTML source code, screenshots and metadata.
- **Paper:** https://arxiv.org/abs/2101.0... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2728/comments | https://api.github.com/repos/huggingface/datasets/issues/2728/events | https://github.com/huggingface/datasets/issues/2728 | 955,892,970 | MDU6SXNzdWU5NTU4OTI5NzA= | 2,728 | Concurrent use of same dataset (already downloaded) | {
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"Launching simultaneous job relying on the same datasets try some writing issue. I guess it is unexpected since I only need to load some already downloaded file.",
"If i have two jobs that use the same dataset. I got :\r\n\r\n\r\n File \"compute_measures.py\", line 181, in <module>\r\n train_loader, val_loade... | 2021-07-29T14:18:38Z | 2021-08-02T07:25:57Z | null | null | CONTRIBUTOR | [] | null | null | {
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When launching several jobs at the same time loading the same dataset trigger some errors see (last comments).
## Steps to reproduce the bug
export HF_DATASETS_CACHE=/gpfswork/rech/toto/datasets
for MODEL in "bert-base-uncased" "roberta-base" "distilbert-base-cased"; do # "bert-base-uncased" ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6740/comments | https://api.github.com/repos/huggingface/datasets/issues/6740/events | https://github.com/huggingface/datasets/issues/6740 | 2,193,172,074 | I_kwDODunzps6CuSZq | 6,740 | Support for loading geotiff files as a part of the ImageFolder | {
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Request for adding rasterio support to load geotiff as a part of ImageFolder, instead of using PIL
### Motivation
As of now, there are many datasets in HuggingFace Hub which are predominantly focussed towards RemoteSensing or are from RemoteSensing. The current ImageFolder (if I have understood c... | {
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https://api.github.com/repos/huggingface/datasets/issues/5360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5360/comments | https://api.github.com/repos/huggingface/datasets/issues/5360/events | https://github.com/huggingface/datasets/issues/5360 | 1,496,947,177 | I_kwDODunzps5ZOZnp | 5,360 | IterableDataset returns duplicated data using PyTorch DDP | {
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"If you use huggingface trainer, you will find the trainer has wrapped a `IterableDatasetShard` to avoid duplication.\r\nSee:\r\nhttps://github.com/huggingface/transformers/blob/dfd818420dcbad68e05a502495cf666d338b2bfb/src/transformers/trainer.py#L835\r\n",
"If you want to support it by datasets natively, maybe w... | 2022-12-14T16:06:19Z | 2023-06-15T09:51:13Z | 2023-01-16T13:33:33Z | {
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} | As mentioned in https://github.com/huggingface/datasets/issues/3423, when using PyTorch DDP the dataset ends up with duplicated data. We already check for the PyTorch `worker_info` for single node, but we should also check for `torch.distributed.get_world_size()` and `torch.distributed.get_rank()` | {
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https://api.github.com/repos/huggingface/datasets/issues/5272 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5272/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5272/comments | https://api.github.com/repos/huggingface/datasets/issues/5272/events | https://github.com/huggingface/datasets/issues/5272 | 1,456,940,021 | I_kwDODunzps5W1yP1 | 5,272 | Use pyarrow Tensor dtype | {
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"Hi ! We're using the Arrow format for the datasets, and PyArrow tensors are not part of the Arrow format AFAIK:\r\n\r\n> There is no direct support in the arrow columnar format to store Tensors as column values.\r\n\r\nsource: https://github.com/apache/arrow/issues/4802#issuecomment-508494694",
"@wesm @rok its b... | 2022-11-20T15:18:41Z | 2026-02-26T15:59:00Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/161 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/161/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/161/comments | https://api.github.com/repos/huggingface/datasets/issues/161/events | https://github.com/huggingface/datasets/issues/161 | 620,487,535 | MDU6SXNzdWU2MjA0ODc1MzU= | 161 | Discussion on version identifier & MockDataLoaderManager for test data | {
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"usually you can replace `download` in your dataset script with `download_and_prepare()` - could you share the code for your dataset here? :-) ",
"I have an initial version here: https://github.com/EntilZha/nlp/tree/master/datasets/qanta Thats pretty close to what I'll do as a PR, but still want to do some more s... | 2020-05-18T20:31:30Z | 2020-05-24T18:10:03Z | null | {
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} | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5015 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5015/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5015/comments | https://api.github.com/repos/huggingface/datasets/issues/5015/events | https://github.com/huggingface/datasets/issues/5015 | 1,383,485,558 | I_kwDODunzps5SdlB2 | 5,015 | Transfer dataset scripts to Hub | {
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"Sounds good ! Can I help with anything ?"
] | 2022-09-23T08:48:10Z | 2022-10-05T07:15:57Z | 2022-10-05T07:15:57Z | {
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} | Before merging:
- #4974
TODO:
- [x] Create label: ["dataset contribution"](https://github.com/huggingface/datasets/pulls?q=label%3A%22dataset+contribution%22)
- [x] Create project: [Datasets: Transfer datasets to Hub](https://github.com/orgs/huggingface/projects/22/)
- [x] PRs:
- [x] Add dataset: we should r... | {
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https://api.github.com/repos/huggingface/datasets/issues/7599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7599/comments | https://api.github.com/repos/huggingface/datasets/issues/7599/events | https://github.com/huggingface/datasets/issues/7599 | 3,125,620,119 | I_kwDODunzps66TS2X | 7,599 | My already working dataset (when uploaded few months ago) now is ignoring metadata.jsonl | {
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"Maybe its been a recent update, but i can manage to load the metadata.jsonl separately from the images with:\n\n```\nmetadata = load_dataset(\"PRAIG/SMB\", split=\"train\", data_files=[\"*.jsonl\"])\nimages = load_dataset(\"PRAIG/SMB\", split=\"train\")\n```\nDo you know it this is an expected behaviour? This make... | 2025-06-06T18:59:00Z | 2025-06-16T15:18:00Z | 2025-06-16T15:18:00Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi everyone, I uploaded my dataset https://huggingface.co/datasets/PRAIG/SMB a few months ago while I was waiting for a conference acceptance response. Without modifying anything in the dataset repository now the Dataset viewer is not rendering the metadata.jsonl annotations, neither it is being d... | {
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https://api.github.com/repos/huggingface/datasets/issues/128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/128/comments | https://api.github.com/repos/huggingface/datasets/issues/128/events | https://github.com/huggingface/datasets/issues/128 | 618,951,117 | MDU6SXNzdWU2MTg5NTExMTc= | 128 | Some error inside nlp.load_dataset() | {
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"Google colab has an old version of Apache Arrow built-in.\r\nBe sure you execute the \"pip install\" cell and restart the notebook environment if the colab asks for it.",
"Thanks for reply, worked fine!\r\n"
] | 2020-05-15T13:01:29Z | 2020-05-15T13:10:40Z | 2020-05-15T13:10:40Z | null | NONE | [] | null | null | {
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I am going through [this overview notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb)
In simple step `dataset = nlp.load_dataset('squad', split='validation[:10%]')`
I get an error, which is connected with some inner code, I think:
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/2441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2441/comments | https://api.github.com/repos/huggingface/datasets/issues/2441/events | https://github.com/huggingface/datasets/issues/2441 | 908,554,713 | MDU6SXNzdWU5MDg1NTQ3MTM= | 2,441 | DuplicatedKeysError on personal dataset | {
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"Hi ! In your dataset script you must be yielding examples like\r\n```python\r\nfor line in file:\r\n ...\r\n yield key, {...}\r\n```\r\n\r\nSince `datasets` 1.7.0 we enforce the keys to be unique.\r\nHowever it looks like your examples generator creates duplicate keys: at least two examples have key 0.\r\n\r... | 2021-06-01T17:59:41Z | 2021-06-04T23:50:03Z | 2021-06-04T23:50:03Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Ever since today, I have been getting a DuplicatedKeysError while trying to load my dataset from my own script.
Error returned when running this line: `dataset = load_dataset('/content/drive/MyDrive/Thesis/Datasets/book_preprocessing/goodreads_maharjan_trimmed_and_nered/goodreadsnered.py')`
Note ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4047/comments | https://api.github.com/repos/huggingface/datasets/issues/4047/events | https://github.com/huggingface/datasets/issues/4047 | 1,183,789,237 | I_kwDODunzps5GjzC1 | 4,047 | Dataset.unique(column: str) -> ArrowNotImplementedError | {
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"Hi @orkenstein, thanks for reporting.\r\n\r\nPlease note that for this case, our `datasets` library uses under the hood the Apache Arrow `unique` function: https://arrow.apache.org/docs/python/generated/pyarrow.compute.unique.html#pyarrow.compute.unique\r\n\r\nAnd currently the Apache Arrow `unique` function is on... | 2022-03-28T17:59:32Z | 2022-04-01T18:24:57Z | 2022-04-01T18:24:57Z | null | NONE | [] | null | null | {
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I'm trying to use `unique()` function, but it fails
## Steps to reproduce the bug
1. Get dataset
2. Call `unique`
3. Error
# Sample code to reproduce the bug
```python
!pip show datasets
from datasets import load_dataset
dataset = load_dataset('wikiann', 'en')
dataset['train'].col... | {
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https://api.github.com/repos/huggingface/datasets/issues/721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/721/comments | https://api.github.com/repos/huggingface/datasets/issues/721/events | https://github.com/huggingface/datasets/issues/721 | 718,647,147 | MDU6SXNzdWU3MTg2NDcxNDc= | 721 | feat(dl_manager): add support for ftp downloads | {
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"We only support http by default for downloading.\r\nIf you really need to use ftp, then feel free to use a library that allows to download through ftp in your dataset script (I see that you've started working on #722 , that's awesome !). The users will get a message to install the extra library when they load the ... | 2020-10-10T15:50:20Z | 2022-02-15T10:44:44Z | 2022-02-15T10:44:43Z | null | CONTRIBUTOR | [] | null | null | {
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```python
# This is the official download link from https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/
_URL = "ftp://wasserstoff.informatik.rwth-aachen.de/pub/rwth-phoenix/2016/phoenix-2014-T.v3.tar.gz"
dl_manager.do... | {
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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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"Hi @bhavitvyamalik, thanks for reporting.\r\n\r\nYes, currently we do not support 7zip archive compression: I think we should.\r\n\r\nAs a workaround, you could uncompress it explicitly, like done in e.g. `samsum` dataset: \r\n\r\nhttps://github.com/huggingface/datasets/blob/fedf891a08bfc77041d575fad6c26091bc0fce5... | 2022-07-10T18:16:49Z | 2022-07-15T13:02:07Z | 2022-07-15T13:02:07Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## 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/3770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3770/comments | https://api.github.com/repos/huggingface/datasets/issues/3770/events | https://github.com/huggingface/datasets/issues/3770 | 1,146,336,667 | I_kwDODunzps5EU7Wb | 3,770 | DuplicatedKeysError on msr_sqa dataset | {
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"Thanks for reporting, @kolk.\r\n\r\nWe are fixing it. "
] | 2022-02-22T00:43:33Z | 2022-02-22T08:12:39Z | 2022-02-22T08:12:39Z | {
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} | ### Describe the bug
Failure to generate dataset msr_sqa because of duplicate keys.
### Steps to reproduce the bug
```
from datasets import load_dataset
load_dataset("msr_sqa")
```
### Expected results
The examples keys should be unique.
**Actual results**
```
>>> load_dataset("msr_sqa")
Downloading:
6... | {
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https://api.github.com/repos/huggingface/datasets/issues/1701 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1701/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1701/comments | https://api.github.com/repos/huggingface/datasets/issues/1701/events | https://github.com/huggingface/datasets/issues/1701 | 781,345,717 | MDU6SXNzdWU3ODEzNDU3MTc= | 1,701 | Some datasets miss dataset_infos.json or dummy_data.zip | {
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"Thanks for reporting.\r\nWe should indeed add all the missing dummy_data.zip and also the dataset_infos.json at least for lm1b, reclor and wikihow.\r\n\r\nFor c4 I haven't tested the script and I think we'll require some optimizations regarding beam datasets before processing it.\r\n",
"Closing since the dummy d... | 2021-01-07T14:17:13Z | 2022-11-04T15:11:16Z | 2022-11-04T15:06:00Z | null | CONTRIBUTOR | [] | null | null | {
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} | While working on dataset REAME generation script at https://github.com/madlag/datasets_readme_generator , I noticed that some datasets miss a dataset_infos.json :
```
c4
lm1b
reclor
wikihow
```
And some does not have a dummy_data.zip :
```
kor_nli
math_dataset
mlqa
ms_marco
newsgroup
qa4mre
qanga... | {
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https://api.github.com/repos/huggingface/datasets/issues/2443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2443/comments | https://api.github.com/repos/huggingface/datasets/issues/2443/events | https://github.com/huggingface/datasets/issues/2443 | 909,983,574 | MDU6SXNzdWU5MDk5ODM1NzQ= | 2,443 | Some tests hang on Windows | {
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"Hi ! That would be nice indeed to at least have a warning, since we don't handle the max path length limit.\r\nAlso if we could have an error instead of an infinite loop I'm sure windows users will appreciate that",
"Unfortunately, I know this problem very well... π
\r\n\r\nI remember having proposed to throw a... | 2021-06-03T00:27:30Z | 2021-06-28T08:47:39Z | 2021-06-28T08:47:39Z | null | COLLABORATOR | [] | null | null | {
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} | Currently, several tests hang on Windows if the max path limit of 260 characters is not disabled. This happens due to the changes introduced by #2223 that cause an infinite loop in `WindowsFileLock` described in #2220. This can be very tricky to debug, so I think now is a good time to address these issues/PRs. IMO thr... | {
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https://api.github.com/repos/huggingface/datasets/issues/114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/114/comments | https://api.github.com/repos/huggingface/datasets/issues/114/events | https://github.com/huggingface/datasets/issues/114 | 618,611,310 | MDU6SXNzdWU2MTg2MTEzMTA= | 114 | Couldn't reach CNN/DM dataset | {
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"Installing from source (instead of Pypi package) solved the problem."
] | 2020-05-15T00:16:17Z | 2020-05-15T00:19:52Z | 2020-05-15T00:19:51Z | null | NONE | [] | null | null | {
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} | I can't get CNN / DailyMail dataset.
```python
import nlp
assert "cnn_dailymail" in [dataset.id for dataset in nlp.list_datasets()]
cnn_dm = nlp.load_dataset('cnn_dailymail')
```
[Colab notebook](https://colab.research.google.com/drive/1zQ3bYAVzm1h0mw0yWPqKAg_4EUlSx5Ex?usp=sharing)
gives following error ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2092 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2092/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2092/comments | https://api.github.com/repos/huggingface/datasets/issues/2092/events | https://github.com/huggingface/datasets/issues/2092 | 836,984,043 | MDU6SXNzdWU4MzY5ODQwNDM= | 2,092 | How to disable making arrow tables in load_dataset ? | {
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"Hi ! We plan to add streaming features in the future.\r\n\r\nThis should allow to load a dataset instantaneously without generating the arrow table. The trade-off is that accessing examples from a streaming dataset must be done in an iterative way, and with an additional (but hopefully minor) overhead.\r\nWhat do ... | 2021-03-21T04:50:07Z | 2022-06-01T16:49:52Z | 2022-06-01T16:49:52Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6697 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6697/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6697/comments | https://api.github.com/repos/huggingface/datasets/issues/6697/events | https://github.com/huggingface/datasets/issues/6697 | 2,157,322,224 | I_kwDODunzps6Alh_w | 6,697 | Unable to Load Dataset in Kaggle | {
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"FWIW, I run `load_dataset(\"llm-blender/mix-instruct\")` and it ran successfully.\r\nCan you clear your cache and try again?\r\n\r\n\r\n### Environment Info\r\n\r\n- `datasets` version: 2.17.0\r\n- Platform: Linux-6.2.6-76060206-generic-x86_64-with-glibc2.35\r\n- Python version: 3.9.13\r\n- `huggingface_hub` versi... | 2024-02-27T18:19:34Z | 2024-02-29T17:32:42Z | 2024-02-29T17:32:41Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Having installed the latest versions of transformers==4.38.1 and datasets==2.17.1 Unable to load the dataset in a kaggle notebook.
Get this Error:
```
---------------------------------------------------------------------------
ValueError Traceback (most recen... | {
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https://api.github.com/repos/huggingface/datasets/issues/2658 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2658/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2658/comments | https://api.github.com/repos/huggingface/datasets/issues/2658/events | https://github.com/huggingface/datasets/issues/2658 | 946,139,532 | MDU6SXNzdWU5NDYxMzk1MzI= | 2,658 | Can't pass `sep=None` to load_dataset("csv", ...) to infer the separator via pandas.read_csv | {
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Related to https://github.com/huggingface/datasets/pull/2656
cc @SBrandeis | {
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https://api.github.com/repos/huggingface/datasets/issues/7529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7529/comments | https://api.github.com/repos/huggingface/datasets/issues/7529/events | https://github.com/huggingface/datasets/issues/7529 | 3,007,118,969 | I_kwDODunzps6zPP55 | 7,529 | audio folder builder cannot detect custom split name | {
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"Hi! Triaging older issues β reproduced your behavior, but I think this is by design rather than a bug.\n\nThe folder-based builders (`audiofolder`/`imagefolder`/`videofolder`) auto-detect splits using a fixed keyword list (`train`, `validation`/`valid`/`val`/`dev`, `test`/`testing`/`eval`/`evaluation`) β see `SPLI... | 2025-04-20T16:53:21Z | 2026-05-16T17:16:35Z | 2026-05-16T17:16:35Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
when using audio folder builder (`load_dataset("audiofolder", data_dir="/path/to/folder")`), it cannot detect custom split name other than train/validation/test
### Steps to reproduce the bug
i have the following folder structure
```
my_dataset/
βββ train/
β βββ lorem.wav
β βββ β¦
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https://api.github.com/repos/huggingface/datasets/issues/3299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3299/comments | https://api.github.com/repos/huggingface/datasets/issues/3299/events | https://github.com/huggingface/datasets/issues/3299 | 1,058,518,213 | I_kwDODunzps4_F7TF | 3,299 | Add option to find unique elements in nested sequences when calling `Dataset.unique` | {
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"Hi @mariosasko!\r\n\r\nHas this been patched into any of the releases?",
"Hi! Not yet, would you be interested in contributing a PR? I can give you some pointers if needed. ",
"@mariosasko did this ever get implemented? Willing to help if you are still up for it.",
"@dcruiz01 No, but here is an example of ho... | 2021-11-19T13:16:06Z | 2023-05-19T14:45:40Z | null | null | COLLABORATOR | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2388/comments | https://api.github.com/repos/huggingface/datasets/issues/2388/events | https://github.com/huggingface/datasets/issues/2388 | 897,767,470 | MDU6SXNzdWU4OTc3Njc0NzA= | 2,388 | Incorrect URLs for some datasets | {
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} | ## Describe the bug
It seems that the URLs for the following datasets are invalid:
- [ ] `bn_hate_speech` has been renamed: https://github.com/rezacsedu/Bengali-Hate-Speech-Dataset/commit/c67ecfc4184911e12814f6b36901f9828df8a63a
- [ ] `covid_tweets_japanese` has been renamed: http://www.db.info.gifu-u.ac.jp/covi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5789 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5789/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5789/comments | https://api.github.com/repos/huggingface/datasets/issues/5789/events | https://github.com/huggingface/datasets/issues/5789 | 1,682,611,179 | I_kwDODunzps5kSpvr | 5,789 | Support streaming datasets that use jsonlines | {
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} | Extend support for streaming datasets that use `jsonlines.open`.
Currently, if `jsonlines` is installed, `datasets` raises a `FileNotFoundError`:
```
FileNotFoundError: [Errno 2] No such file or directory: 'https://...'
```
See:
- https://huggingface.co/datasets/masakhane/afriqa/discussions/1 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4661 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4661/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4661/comments | https://api.github.com/repos/huggingface/datasets/issues/4661/events | https://github.com/huggingface/datasets/issues/4661 | 1,298,374,944 | I_kwDODunzps5NY6Eg | 4,661 | Concurrency bug when using same cache among several jobs | {
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"I can confirm that if I run one job first that processes the dataset, then I can run any jobs in parallel with no problem (no write-concurrency anymore...). ",
"Hi! That's weird. It seems like the error points to the `mkstemp` function, but the official docs state the following:\r\n```\r\nThere are no race condi... | 2022-07-08T01:58:11Z | 2025-04-10T13:21:23Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
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 ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6360/comments | https://api.github.com/repos/huggingface/datasets/issues/6360/events | https://github.com/huggingface/datasets/issues/6360 | 1,965,672,950 | I_kwDODunzps51Kcn2 | 6,360 | Add support for `Sequence(Audio/Image)` feature in `push_to_hub` | {
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"This issue stems from https://github.com/huggingface/datasets/blob/6d2f2a5e0fea3827eccfd1717d8021c15fc4292a/src/datasets/table.py#L2203-L2205\r\n\r\nI'll address it as part of https://github.com/huggingface/datasets/pull/6283.\r\n\r\nIn the meantime, this should work\r\n\r\n```python\r\nimport pyarrow as pa\r\nfro... | 2023-10-27T14:39:57Z | 2024-02-06T19:24:20Z | 2024-02-06T19:24:20Z | {
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} | ### Feature request
Allow for `Sequence` of `Image` (or `Audio`) to be embedded inside the shards.
### Motivation
Currently, thanks to #3685, when `embed_external_files` is set to True (which is the default) in `push_to_hub`, features of type `Image` and `Audio` are embedded inside the arrow/parquet shards, instead ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4009 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4009/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4009/comments | https://api.github.com/repos/huggingface/datasets/issues/4009/events | https://github.com/huggingface/datasets/issues/4009 | 1,179,658,611 | I_kwDODunzps5GUClz | 4,009 | AMI load_dataset error: sndfile library not found | {
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"Issue unresolved, see [4000](https://github.com/huggingface/datasets/issues/4009#issue-1179658611)"
] | 2022-03-24T15:13:38Z | 2022-03-24T15:46:38Z | 2022-03-24T15:17:29Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Getting error message when loading AMI dataset.
## Steps to reproduce the bug
`python3 -c "from datasets import load_dataset; print(load_dataset('ami', 'headset-single', split='validation')[0])"
`
## Expected results
A clear and concise description of the expected results.
## Actual r... | {
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https://api.github.com/repos/huggingface/datasets/issues/5812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5812/comments | https://api.github.com/repos/huggingface/datasets/issues/5812/events | https://github.com/huggingface/datasets/issues/5812 | 1,691,798,169 | I_kwDODunzps5k1sqZ | 5,812 | Cannot shuffle interleaved IterableDataset with "all_exhausted" stopping strategy | {
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} | ### Describe the bug
Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed = 42
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https://api.github.com/repos/huggingface/datasets/issues/3541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3541/comments | https://api.github.com/repos/huggingface/datasets/issues/3541/events | https://github.com/huggingface/datasets/issues/3541 | 1,095,033,828 | I_kwDODunzps5BROPk | 3,541 | Support 7-zip compressed data files | {
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"This should also resolve: https://github.com/huggingface/datasets/issues/3185."
] | 2022-01-06T07:11:03Z | 2022-07-19T10:18:30Z | null | {
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} | **Is your feature request related to a problem? Please describe.**
We should support 7-zip compressed data files:
- [x] in `extract`:
- #4672
- [ ] in `iter_archive`: for streaming mode
both in streaming and non-streaming modes.
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https://api.github.com/repos/huggingface/datasets/issues/6548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6548/comments | https://api.github.com/repos/huggingface/datasets/issues/6548/events | https://github.com/huggingface/datasets/issues/6548 | 2,061,047,984 | I_kwDODunzps562Riw | 6,548 | Skip if a dataset has issues | {
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"It looks like a transient DNS issue. It should work fine now if you try again.\r\n\r\nThere is no parameter in load_dataset to skip failed downloads. In your case it would have skipped every single subsequent download until the DNS issue was resolved anyway."
] | 2023-12-31T12:41:26Z | 2024-01-02T10:33:17Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hello everyone,
I'm using **load_datasets** from **huggingface** to download the datasets and I'm facing an issue, the download starts but it reaches some state and then fails with the following error:
Couldn't reach https://huggingface.co/datasets/wikimedia/wikipedia/resolve/4cb9b0d719291f1a10... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2275/comments | https://api.github.com/repos/huggingface/datasets/issues/2275/events | https://github.com/huggingface/datasets/issues/2275 | 869,378,311 | MDU6SXNzdWU4NjkzNzgzMTE= | 2,275 | SNLI dataset has labels of -1 | {
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"Hi @puzzler10, \r\nThose examples where `gold_label` field was empty, -1 label was alloted to it. In order to remove it you can filter the samples from train/val/test splits. Here's how you can drop those rows from the dataset:\r\n`dataset = load_dataset(\"snli\")`\r\n`dataset_test_filter = dataset['test'].filter(... | 2021-04-28T00:32:25Z | 2021-05-17T13:34:18Z | 2021-05-17T13:34:18Z | null | NONE | [] | null | null | {
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} | There are a number of rows with a label of -1 in the SNLI dataset. The dataset descriptions [here](https://nlp.stanford.edu/projects/snli/) and [here](https://github.com/huggingface/datasets/tree/master/datasets/snli) don't list -1 as a label possibility, and neither does the dataset viewer. As examples, see index 107... | {
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https://api.github.com/repos/huggingface/datasets/issues/3071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3071/comments | https://api.github.com/repos/huggingface/datasets/issues/3071/events | https://github.com/huggingface/datasets/issues/3071 | 1,024,893,493 | I_kwDODunzps49FqI1 | 3,071 | Custom plain text dataset, plain json dataset and plain csv dataset are remove from datasets template folder | {
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"Hi @zixiliuUSC, \r\n\r\nAs explained in the documentation (https://huggingface.co/docs/datasets/loading.html#json), we support loading any dataset in JSON (as well as CSV, text, Parquet) format:\r\n```python\r\nds = load_dataset('json', data_files='my_file.json')\r\n```"
] | 2021-10-13T07:32:10Z | 2021-10-13T08:27:04Z | 2021-10-13T08:27:03Z | {
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} | ## Adding a Dataset
- **Name:** text, json, csv
- **Description:** I am developing a customized dataset loading script. The problem is mainly about my custom dataset is seperate into many files and I only find a dataset loading template in [https://github.com/huggingface/datasets/blob/1.2.1/datasets/json/json.py](ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/2211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2211/comments | https://api.github.com/repos/huggingface/datasets/issues/2211/events | https://github.com/huggingface/datasets/issues/2211 | 855,988,410 | MDU6SXNzdWU4NTU5ODg0MTA= | 2,211 | Getting checksum error when trying to load lc_quad dataset | {
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"Hi,\r\n\r\nI've already opened a PR with the fix. If you are in a hurry, just build the project from source and run:\r\n```bash\r\ndatasets-cli test datasets/lc_quad --save_infos --all_configs --ignore_verifications\r\n```\r\n\r\n",
"Ah sorry, I tried searching but couldn't find any related PR. \r\n\r\nThank you... | 2021-04-12T13:38:58Z | 2021-04-14T13:42:25Z | 2021-04-14T13:42:25Z | null | NONE | [] | null | null | {
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} | I'm having issues loading the [lc_quad](https://huggingface.co/datasets/fquad) dataset by running:
```Python
lc_quad = load_dataset("lc_quad")
```
which is giving me the following error:
```
Using custom data configuration default
Downloading and preparing dataset lc_quad/default (download: 3.69 MiB, ge... | {
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https://api.github.com/repos/huggingface/datasets/issues/7751 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7751/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7751/comments | https://api.github.com/repos/huggingface/datasets/issues/7751/events | https://github.com/huggingface/datasets/issues/7751 | 3,358,369,976 | I_kwDODunzps7ILKi4 | 7,751 | Dill version update | {
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"#7752 ",
"related: #7510 "
] | 2025-08-27T07:38:30Z | 2025-09-10T14:24:02Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Why the datasets is not updating the dill ?
Just want to know if I update the dill version in dill what will be the repucssion.
For now in multiplaces I have to update the library like process requirequire dill 0.4.0 so why not datasets.
Adding a pr too.
### Steps to reproduce the bug
.
###... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1810 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1810/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1810/comments | https://api.github.com/repos/huggingface/datasets/issues/1810/events | https://github.com/huggingface/datasets/issues/1810 | 799,168,650 | MDU6SXNzdWU3OTkxNjg2NTA= | 1,810 | Add Hateful Memes Dataset | {
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"I am not sure, but would `datasets.Sequence(datasets.Sequence(datasets.Sequence(datasets.Value(\"int\")))` work?",
"Also, I found the information for loading only subsets of the data [here](https://github.com/huggingface/datasets/blob/master/docs/source/splits.rst).",
"Hi @lhoestq,\r\n\r\nRequest you to check ... | 2021-02-02T10:53:59Z | 2021-12-08T12:03:59Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Add Hateful Memes Dataset
- **Name:** Hateful Memes
- **Description:** [https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set]( https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set)
- **Paper:** [https://arxiv.org/pdf/2005.04790.pdf](https://arxiv.org/pdf/2005.04790.pdf)
- **Data:** [Thi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6770/comments | https://api.github.com/repos/huggingface/datasets/issues/6770/events | https://github.com/huggingface/datasets/issues/6770 | 2,218,991,883 | I_kwDODunzps6EQyEL | 6,770 | [Bug Report] `datasets==2.18.0` is not compatible with `fsspec==2023.12.2` | {
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"You should be able to fix this by updating `huggingface_hub` with `pip install -U huggingface_hub`. We use this package under the hood to resolve the Hub's files."
] | 2024-04-01T20:17:48Z | 2024-04-11T17:31:44Z | 2024-04-11T17:31:44Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
`Datasets==2.18.0` is not compatible with `fsspec==2023.12.2`.
I have to downgrade fsspec to `fsspec==2023.10.0` to make `Datasets==2.18.0` work properly.
### Steps to reproduce the bug
To reproduce the bug:
1. Make sure that `Datasets==2.18.0` and `fsspec==2023.12.2`.
2. Run the following ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3829/comments | https://api.github.com/repos/huggingface/datasets/issues/3829/events | https://github.com/huggingface/datasets/issues/3829 | 1,160,154,352 | I_kwDODunzps5FJozw | 3,829 | [π Docs] Create a `datasets` performance guide. | {
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"Hi ! Yes this is definitely something we'll explore, since optimizing processing pipelines can be challenging and because performance is key here: we want anyone to be able to play with large-scale datasets more easily.\r\n\r\nI think we'll start by documenting the performance of the dataset transforms we provide,... | 2022-03-05T00:28:06Z | 2022-03-10T16:24:27Z | null | null | NONE | [] | null | null | {
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} | ## Brief Overview
Downloading, saving, and preprocessing large datasets from the `datasets` library can often result in [performance bottlenecks](https://github.com/huggingface/datasets/issues/3735). These performance snags can be challenging to identify and to debug, especially for users who are less experienced with... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7406/comments | https://api.github.com/repos/huggingface/datasets/issues/7406/events | https://github.com/huggingface/datasets/issues/7406 | 2,856,441,206 | I_kwDODunzps6qQdV2 | 7,406 | Adding Core Maintainer List to CONTRIBUTING.md | {
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"@lhoestq",
"there is no per-module maintainer and the list is me alone nowadays ^^'",
"@lhoestq \nOh... I feel for you. \nWhat are your criteria for choosing a core maintainer? \nIt seems like it's too much work for you to manage all this code by yourself.\n\nAlso, if you don't mind, can you check this PR for ... | 2025-02-17T00:32:40Z | 2025-03-24T10:57:54Z | 2025-03-24T10:57:54Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
I propose adding a core maintainer list to the `CONTRIBUTING.md` file.
### Motivation
The Transformers and Liger-Kernel projects maintain lists of core maintainers for each module.
However, the Datasets project doesn't have such a list.
### Your contribution
I have nothing to add here. | {
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https://api.github.com/repos/huggingface/datasets/issues/5505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5505/comments | https://api.github.com/repos/huggingface/datasets/issues/5505/events | https://github.com/huggingface/datasets/issues/5505 | 1,571,720,814 | I_kwDODunzps5dro5u | 5,505 | PyTorch BatchSampler still loads from Dataset one-by-one | {
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"This change seems to come from a few months ago in the PyTorch side. That's good news and it means we may not need to pass a batch_sampler as soon as we add `Dataset.__getitems__` to get the optimal speed :)\r\n\r\nThanks for reporting ! Would you like to open a PR to add `__getitems__` and remove this outdated do... | 2023-02-06T01:14:55Z | 2023-02-19T18:27:30Z | 2023-02-19T18:27:30Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
In [the docs here](https://huggingface.co/docs/datasets/use_with_pytorch#use-a-batchsampler), it mentions the issue of the Dataset being read one-by-one, then states that using a BatchSampler resolves the issue.
I'm not sure if this is a mistake in the docs or the code, but it seems that the on... | {
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https://api.github.com/repos/huggingface/datasets/issues/3178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3178/comments | https://api.github.com/repos/huggingface/datasets/issues/3178/events | https://github.com/huggingface/datasets/issues/3178 | 1,039,539,076 | I_kwDODunzps499huE | 3,178 | "Property couldn't be hashed properly" even though fully picklable | {
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"After some digging, I found that this is caused by `dill` and using `recurse=True)` when trying to dump the object. The problem also occurs without multiprocessing. I can only find [the following information](https://dill.readthedocs.io/en/latest/dill.html#dill._dill.dumps) about this:\r\n\r\n> If recurse=True, th... | 2021-10-29T12:56:09Z | 2024-08-19T13:03:49Z | 2022-11-02T17:18:43Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
I am trying to tokenize a dataset with spaCy. I found that no matter what I do, the spaCy language object (`nlp`) prevents `datasets` from pickling correctly - or so the warning says - even though manually pickling is no issue. It should not be an issue either, since spaCy objects are picklable.
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https://api.github.com/repos/huggingface/datasets/issues/5670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5670/comments | https://api.github.com/repos/huggingface/datasets/issues/5670/events | https://github.com/huggingface/datasets/issues/5670 | 1,640,607,045 | I_kwDODunzps5hya1F | 5,670 | Unable to load multi class classification datasets | {
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"Hi ! This sounds related to https://github.com/huggingface/datasets/issues/5406\r\n\r\nUpdating `datasets` fixes the issue ;)",
"Thanks @lhoestq!\r\n\r\nI'll close this issue now."
] | 2023-03-25T18:06:15Z | 2023-03-27T22:54:56Z | 2023-03-27T22:54:56Z | null | NONE | [] | null | null | {
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I've been playing around with huggingface library, mostly with `datasets` and wanted to download the multi class classification datasets to fine tune BERT on this task. ([link](https://huggingface.co/docs/transformers/training#train-with-pytorch-trainer)).
While loading the dataset, I'm getting... | {
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https://api.github.com/repos/huggingface/datasets/issues/5776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5776/comments | https://api.github.com/repos/huggingface/datasets/issues/5776/events | https://github.com/huggingface/datasets/issues/5776 | 1,677,116,100 | I_kwDODunzps5j9sLE | 5,776 | Use Pandas' `read_json` in the JSON builder | {
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} | Instead of PyArrow's `read_json`, we should use `pd.read_json` in the JSON builder for consistency with the CSV and SQL builders (e.g., to address https://github.com/huggingface/datasets/issues/5725).
In Pandas2.0, to get the same performance, we can set the `engine` to "pyarrow". The issue is that Colab still doesn... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6521 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6521/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6521/comments | https://api.github.com/repos/huggingface/datasets/issues/6521/events | https://github.com/huggingface/datasets/issues/6521 | 2,052,229,538 | I_kwDODunzps56Uomi | 6,521 | The order of the splits is not preserved | {
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"After investigation, I think the issue was introduced by the use of the Parquet export:\r\n- #6448\r\n\r\nI am proposing a fix.\r\n\r\nCC: @lhoestq "
] | 2023-12-21T11:17:27Z | 2023-12-22T11:36:15Z | 2023-12-22T11:36:15Z | {
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} | We had a regression and the order of the splits is not preserved. They are alphabetically sorted, instead of preserving original "train", "validation", "test" order.
Check: In branch "main"
```python
In [9]: dataset = load_dataset("adversarial_qa", '"adversarialQA")
In [10]: dataset
Out[10]:
DatasetDict({
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https://api.github.com/repos/huggingface/datasets/issues/7413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7413/comments | https://api.github.com/repos/huggingface/datasets/issues/7413/events | https://github.com/huggingface/datasets/issues/7413 | 2,860,947,582 | I_kwDODunzps6qhph- | 7,413 | Documentation on multiple media files of the same type with WebDataset | {
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"Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx"
] | 2025-02-18T16:13:20Z | 2025-02-20T14:17:54Z | null | null | NONE | [] | null | null | {
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} | The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6656 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6656/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6656/comments | https://api.github.com/repos/huggingface/datasets/issues/6656/events | https://github.com/huggingface/datasets/issues/6656 | 2,127,338,377 | I_kwDODunzps5-zJuJ | 6,656 | Error when loading a big local json file | {
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"I get similar when dealing with a large jsonl file (6k lines), \r\n\r\n> TypeError: Couldn't cast array of type timestamp[us] to null\r\n\r\nYet when I split it into 1k lines, files, load_dataset works fine!\r\n\r\nhttps://github.com/huggingface/course/issues/692\r\n\r\n",
"What's the proposed solution? :-)"
] | 2024-02-09T15:14:21Z | 2024-11-29T10:06:57Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When trying to load big json files from a local directory, `load_dataset` throws the following error
```
Traceback (most recent call last):
File "/miniconda3/envs/conda-env/lib/python3.10/site-packages/datasets/builder.py", line 1989, in _prepare_split_single
writer.write_table(table)
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/435/comments | https://api.github.com/repos/huggingface/datasets/issues/435/events | https://github.com/huggingface/datasets/issues/435 | 665,507,141 | MDU6SXNzdWU2NjU1MDcxNDE= | 435 | ImportWarning for pyarrow 1.0.0 | {
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"This was fixed in #434 \r\nWe'll do a release later this week to include this fix.\r\nThanks for reporting",
"I dont know if the fix was made but the problem is still present : \r\nInstaled with pip : NLP 0.3.0 // pyarrow 1.0.0 \r\nOS : archlinux with kernel zen 5.8.5",
"Yes it was fixed in `nlp>=0.4.0`\r\nYou... | 2020-07-25T03:44:39Z | 2020-09-08T17:57:15Z | 2020-08-03T16:37:32Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4964/comments | https://api.github.com/repos/huggingface/datasets/issues/4964/events | https://github.com/huggingface/datasets/issues/4964 | 1,368,617,322 | I_kwDODunzps5Rk3Fq | 4,964 | Column of arrays (2D+) are using unreasonably high memory | {
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"note i have tried the same code with `datasets` version 2.4.0, the outcome is the very same as described above.",
"Seems related to issues #4623 and #4802 so it would appear this issue has been around for a few months.",
"Hi ! `Dataset.from_dict` keeps the data in memory. You can write on disk and reload them ... | 2022-09-10T13:07:22Z | 2022-09-22T18:29:22Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
When trying to store `Array2D, Array3D, etc` as column values in a dataset, accessing that column (or creating depending on how you create it, see code below) will cause more than 10 fold of memory usage.
## Steps to reproduce the bug
```python
from datasets import Dataset, Features, Array2D, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/315/comments | https://api.github.com/repos/huggingface/datasets/issues/315/events | https://github.com/huggingface/datasets/issues/315 | 645,888,943 | MDU6SXNzdWU2NDU4ODg5NDM= | 315 | [Question] Best way to batch a large dataset? | {
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"Update: I think I've found a solution.\r\n\r\n```python\r\noutput_types = {\"input_ids\": tf.int64, \"token_type_ids\": tf.int64, \"attention_mask\": tf.int64}\r\ndef train_dataset_gen():\r\n for i in range(len(train_dataset)):\r\n yield train_dataset[i]\r\ntf_dataset = tf.data.Dataset.from_generator(tra... | 2020-06-25T22:30:20Z | 2020-10-27T15:38:17Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | I'm training on large datasets such as Wikipedia and BookCorpus. Following the instructions in [the tutorial notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb), I see the following recommended for TensorFlow:
```python
train_tf_dataset = train_tf_dataset.filter(... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6570/comments | https://api.github.com/repos/huggingface/datasets/issues/6570/events | https://github.com/huggingface/datasets/issues/6570 | 2,071,805,265 | I_kwDODunzps57fT1R | 6,570 | No online docs for 2.16 release | {
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"Though the `build / build_main_documentation` CI job ran for 2.16.0: https://github.com/huggingface/datasets/actions/runs/7300836845/job/19896275099 π€ ",
"Yes, I saw it. Maybe @mishig25 can give us some hint...",
"fixed https://huggingface.co/docs/datasets/v2.16.0/en/index",
"Still missing 2.16.1.",
"> St... | 2024-01-09T07:43:30Z | 2024-01-09T16:45:50Z | 2024-01-09T16:45:50Z | null | MEMBER | [] | null | null | {
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In the online docs, the latest version appearing is 2.15.0: https://huggingface.co/docs/datasets/index
![Screenshot from 2024-01-09 08-43-08](https://github.com/huggingface/datasets/assets/8515462/83613222-867f-41f4-8833-7a4a765... | {
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https://api.github.com/repos/huggingface/datasets/issues/4733 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4733/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4733/comments | https://api.github.com/repos/huggingface/datasets/issues/4733/events | https://github.com/huggingface/datasets/issues/4733 | 1,314,479,616 | I_kwDODunzps5OWV4A | 4,733 | rouge metric | {
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"Fixed by:\r\n- #4735"
] | 2022-07-22T07:06:51Z | 2022-07-22T09:08:02Z | 2022-07-22T09:05:35Z | {
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} | ## Describe the bug
A clear and concise description of what the bug is.
Loading Rouge metric gives error after latest rouge-score==0.0.7 release.
Downgrading rougemetric==0.0.4 works fine.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
## Expected results
A clear and concis... | {
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https://api.github.com/repos/huggingface/datasets/issues/3960 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3960/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3960/comments | https://api.github.com/repos/huggingface/datasets/issues/3960/events | https://github.com/huggingface/datasets/issues/3960 | 1,173,148,884 | I_kwDODunzps5F7NTU | 3,960 | Load local dataset error | {
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"Hi! Instead of @nateraw's `image-folder`, I suggest using the newly released `imagefolder` dataset:\r\n```python\r\n>>> from datasets import load_dataset\r\n>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train/**'], 'validation': ['/ssd/datasets/imagenet/pytorch/val/**']}\r\n>>> ds = load_dataset('image... | 2022-03-18T03:32:49Z | 2023-08-02T17:12:20Z | null | null | NONE | [] | null | null | {
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} | When i used the datasets==1.11.0οΌ it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_dataset('nateraw/image-folder... | {
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https://api.github.com/repos/huggingface/datasets/issues/2773 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2773/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2773/comments | https://api.github.com/repos/huggingface/datasets/issues/2773/events | https://github.com/huggingface/datasets/issues/2773 | 963,730,497 | MDU6SXNzdWU5NjM3MzA0OTc= | 2,773 | Remove dataset_infos.json | {
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"This was closed by:\r\n- #4926"
] | 2021-08-09T07:43:19Z | 2024-05-04T14:52:10Z | 2024-05-04T14:52:10Z | null | MEMBER | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
As discussed, there are infos in the `dataset_infos.json` which are redundant and we could have them only in the README file.
Others could be migrated to the README, like: "dataset_size", "size_in_bytes", "download_size", "splits.split_name.[num_byt... | {
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https://api.github.com/repos/huggingface/datasets/issues/2058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2058/comments | https://api.github.com/repos/huggingface/datasets/issues/2058/events | https://github.com/huggingface/datasets/issues/2058 | 832,159,844 | MDU6SXNzdWU4MzIxNTk4NDQ= | 2,058 | Is it possible to convert a `tfds` to HuggingFace `dataset`? | {
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"Hi! You can either save the TF dataset to one of the formats supported by datasets (`parquet`, `csv`, `json`, ...) or pass a generator function to `Dataset.from_generator` that yields its examples."
] | 2021-03-15T20:18:47Z | 2023-07-25T16:47:40Z | 2023-07-25T16:47:40Z | null | CONTRIBUTOR | [] | null | null | {
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} | I was having some weird bugs with `C4`dataset version of HuggingFace, so I decided to try to download `C4`from `tfds`. I would like to know if it is possible to convert a tfds dataset to HuggingFace dataset format :)
I can also open a new issue reporting the bug I'm receiving with `datasets.load_dataset('c4','en')` ... | {
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https://api.github.com/repos/huggingface/datasets/issues/317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/317/comments | https://api.github.com/repos/huggingface/datasets/issues/317/events | https://github.com/huggingface/datasets/issues/317 | 646,555,384 | MDU6SXNzdWU2NDY1NTUzODQ= | 317 | Adding a dataset with multiple subtasks | {
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"For one dataset you can have different configurations that each have their own `nlp.Features`.\r\nWe imagine having one configuration per subtask for example.\r\nThey are loaded with `nlp.load_dataset(\"my_dataset\", \"my_config\")`.\r\n\r\nFor example the `glue` dataset has many configurations. It is a bit differ... | 2020-06-26T23:14:19Z | 2020-10-27T15:36:52Z | 2020-10-27T15:36:52Z | null | NONE | [] | null | null | {
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For example, in [QE 201... | {
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https://api.github.com/repos/huggingface/datasets/issues/6097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6097/comments | https://api.github.com/repos/huggingface/datasets/issues/6097/events | https://github.com/huggingface/datasets/issues/6097 | 1,827,054,143 | I_kwDODunzps5s5qI_ | 6,097 | Dataset.get_nearest_examples does not return all feature values for the k most similar datapoints - side effect of Dataset.set_format | {
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"Actually, my bad -- specifying\r\n```python\r\nfoo.set_format('numpy', ['vectors'], output_all_columns=True)\r\n```\r\nfixes it."
] | 2023-07-28T20:31:59Z | 2023-07-28T20:49:58Z | 2023-07-28T20:49:58Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi team!
I observe that there seems to be a side effect of `Dataset.set_format`: after setting a format and creating a FAISS index, the method `get_nearest_examples` from the `Dataset` class, fails to retrieve anything else but the embeddings themselves - not super useful. This is not the case ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3965 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3965/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3965/comments | https://api.github.com/repos/huggingface/datasets/issues/3965/events | https://github.com/huggingface/datasets/issues/3965 | 1,173,708,739 | I_kwDODunzps5F9V_D | 3,965 | TypeError: Couldn't cast array of type for JSONLines dataset | {
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"Hi @lewtun, thanks for reporting.\r\n\r\nIt seems that our library fails at inferring the dtype of the columns:\r\n- `milestone`\r\n- `performed_via_github_app` \r\n\r\n(and assigns them `null` dtype)."
] | 2022-03-18T15:17:53Z | 2022-05-06T16:13:51Z | 2022-05-06T16:13:51Z | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
One of the [course participants](https://discuss.huggingface.co/t/chapter-5-questions/11744/20?u=lewtun) is having trouble loading a JSONLines dataset that's composed of the GitHub issues from `spacy` (see stack trace below).
This reminds me a bit of #2799 where one can load the dataset in `pan... | {
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https://api.github.com/repos/huggingface/datasets/issues/7150 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7150/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7150/comments | https://api.github.com/repos/huggingface/datasets/issues/7150/events | https://github.com/huggingface/datasets/issues/7150 | 2,527,571,175 | I_kwDODunzps6Wp6zn | 7,150 | WebDataset loader splits keys differently than WebDataset library | {
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For example, we get a different key splitting for filename `/some/path/22.0/1.1.png`:
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https://api.github.com/repos/huggingface/datasets/issues/3631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3631/comments | https://api.github.com/repos/huggingface/datasets/issues/3631/events | https://github.com/huggingface/datasets/issues/3631 | 1,114,833,662 | I_kwDODunzps5CcwL- | 3,631 | Labels conflict when loading a local CSV file. | {
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"Hi @pichljan, thanks for reporting.\r\n\r\nThis should be fixed. I'm looking at it. "
] | 2022-01-26T10:00:33Z | 2022-02-11T23:02:31Z | 2022-02-11T23:02:31Z | {
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} | ## Describe the bug
I am trying to load a local CSV file with a separate file containing label names. It is successfully loaded for the first time, but when I try to load it again, there is a conflict between provided labels and the cached dataset info. Disabling caching globally and/or using `download_mode="force_red... | {
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https://api.github.com/repos/huggingface/datasets/issues/5281 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5281/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5281/comments | https://api.github.com/repos/huggingface/datasets/issues/5281/events | https://github.com/huggingface/datasets/issues/5281 | 1,459,930,271 | I_kwDODunzps5XBMSf | 5,281 | Support cloud storage in load_dataset | {
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"Or for example an archive on GitHub releases! Before I added support for JXL (locally only, PR still pending) I was considering hosting my files on GitHub instead...",
"+1 to this. I would like to use 'audiofolder' with a data_dir that's on S3, for example. I don't want to upload my dataset to the Hub, but I wo... | 2022-11-22T14:00:10Z | 2024-11-15T15:03:41Z | null | null | MEMBER | [] | null | null | {
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} | Would be nice to be able to do
```python
data_files=["s3://..."] # or gs:// or any cloud storage path
storage_options = {...}
load_dataset(..., data_files=data_files, storage_options=storage_options)
```
The idea would be to use `fsspec` as in `download_and_prepare` and `save_to_disk`.
This has been reque... | {
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https://api.github.com/repos/huggingface/datasets/issues/3284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3284/comments | https://api.github.com/repos/huggingface/datasets/issues/3284/events | https://github.com/huggingface/datasets/issues/3284 | 1,055,502,909 | I_kwDODunzps4-6bI9 | 3,284 | Add VoxLingua107 dataset | {
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"#self-assign"
] | 2021-11-16T22:44:08Z | 2021-12-06T09:49:45Z | null | {
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} | ## Adding a Dataset
- **Name:** VoxLingua107
- **Description:** VoxLingua107 is a speech dataset for training spoken language identification models. The dataset consists of short speech segments automatically extracted from YouTube videos and labeled according the language of the video title and description, with som... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8197/comments | https://api.github.com/repos/huggingface/datasets/issues/8197/events | https://github.com/huggingface/datasets/issues/8197 | 4,452,221,355 | I_kwDODunzps8AAAABCV-Bqw | 8,197 | Feature Request / Discussion: Skip origin_metadata fetch when streaming=True? | {
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I've been looking into the initialization process of the `DatasetBuilder` and noticed that the ETag/origin metadata caching path is executed unconditionally.
While fetching the `origin_metadata` and calculating the ETag is necessary for safely managing a local disk cache when using `as_dataset()`, it seems t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6918 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6918/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6918/comments | https://api.github.com/repos/huggingface/datasets/issues/6918/events | https://github.com/huggingface/datasets/issues/6918 | 2,315,322,738 | I_kwDODunzps6KAQVy | 6,918 | NonMatchingSplitsSizesError when using data_dir | {
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"Thanks for reporting, @srehaag.\r\n\r\nWe are investigating this issue.",
"I confirm there is a bug for data-based Hub datasets when the user passes `data_dir`, which was introduced by PR:\r\n- #6714"
] | 2024-05-24T12:43:39Z | 2024-05-31T17:10:38Z | 2024-05-31T17:10:38Z | {
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} | ### Describe the bug
Loading a dataset from with a data_dir argument generates a NonMatchingSplitsSizesError if there are multiple directories in the dataset.
This appears to happen because the expected split is calculated based on the data in all the directories whereas the recorded split is calculated based on t... | {
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https://api.github.com/repos/huggingface/datasets/issues/362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/362/comments | https://api.github.com/repos/huggingface/datasets/issues/362/events | https://github.com/huggingface/datasets/issues/362 | 653,766,245 | MDU6SXNzdWU2NTM3NjYyNDU= | 362 | [dateset subset missing] xtreme paws-x | {
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"You're right, thanks for pointing it out. We will update it "
] | 2020-07-09T05:04:54Z | 2020-07-09T12:38:42Z | 2020-07-09T12:38:42Z | null | CONTRIBUTOR | [] | null | null | {
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} | I tried nlp.load_dataset('xtreme', 'PAWS-X.es') but get the value error
It turns out that the subset for Spanish is missing
https://github.com/google-research-datasets/paws/tree/master/pawsx | {
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https://api.github.com/repos/huggingface/datasets/issues/7765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7765/comments | https://api.github.com/repos/huggingface/datasets/issues/7765/events | https://github.com/huggingface/datasets/issues/7765 | 3,411,556,378 | I_kwDODunzps7LWDga | 7,765 | polars dataset cannot cast column to Image/Audio/Video | {
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"I fixed this with a combination of `to_dict` and `from_dict`:\n\n```py\ndatasets.Dataset.from_dict(df.to_dict(as_series=False))\n```",
"@samuelstevens Yeah, I'm using similar workaround as well. But it would be ideal if we can avoid the copy."
] | 2025-09-12T18:32:49Z | 2025-10-13T14:39:48Z | 2025-10-13T14:39:48Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
`from_polars` dataset cannot cast column to Image/Audio/Video, while it works on `from_pandas` and `from_dict`
### Steps to reproduce the bug
```python3
import datasets
import pandas as pd
import polars as pl
image_path = "./sample.png"
# polars
df = pl.DataFrame({"image_path": [image_path]})
... | {
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https://api.github.com/repos/huggingface/datasets/issues/3788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3788/comments | https://api.github.com/repos/huggingface/datasets/issues/3788/events | https://github.com/huggingface/datasets/issues/3788 | 1,150,375,720 | I_kwDODunzps5EkVco | 3,788 | Only-data dataset loaded unexpectedly as validation split | {
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"I see two options:\r\n1. drop the \"dev\" keyword since it can be considered too generic\r\n2. improve the pattern to something more reasonable, e.g. asking for a separator before and after \"dev\"\r\n```python\r\n[\"*[ ._-]dev[ ._-]*\", \"dev[ ._-]*\"]\r\n```\r\n\r\nI think 2. is nice. If we agree on this one we ... | 2022-02-25T12:11:39Z | 2022-02-28T11:22:22Z | null | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
As reported by @thomasw21 and @lhoestq, a dataset containing only a data file whose name matches the pattern `*dev*` will be returned as VALIDATION split, even if this is not the desired behavior, e.g. a file named `datosdevision.jsonl.gz`. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2440/comments | https://api.github.com/repos/huggingface/datasets/issues/2440/events | https://github.com/huggingface/datasets/issues/2440 | 908,521,954 | MDU6SXNzdWU5MDg1MjE5NTQ= | 2,440 | Remove `extended` field from dataset tagger | {
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"The tagger also doesn't insert the value for the `size_categories` field automatically, so this should be fixed too",
"Thanks for reporting. Indeed the `extended` tag doesn't exist. Not sure why we had that in the tagger.\r\nThe repo of the tagger is here if someone wants to give this a try: https://github.com/h... | 2021-06-01T17:18:42Z | 2021-06-09T09:06:31Z | 2021-06-09T09:06:30Z | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
While working on #2435 I used the [dataset tagger](https://huggingface.co/datasets/tagging/) to generate the missing tags for the YAML metadata of each README.md file. However, it seems that our CI raises an error when the `extended` field is included:
```
dataset_name = 'arcd'
@pytest.m... | {
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https://api.github.com/repos/huggingface/datasets/issues/6395 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6395/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6395/comments | https://api.github.com/repos/huggingface/datasets/issues/6395/events | https://github.com/huggingface/datasets/issues/6395 | 1,986,484,124 | I_kwDODunzps52Z1ec | 6,395 | Add ability to set lock type | {
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"We've replaced our filelock implementation with the `filelock` package, so their repo is the right place to request this feature.\r\n\r\nIn the meantime, the following should work: \r\n```python\r\nimport filelock\r\nfilelock.FileLock = filelock.SoftFileLock\r\n\r\nimport datasets\r\n...\r\n```"
] | 2023-11-09T22:12:30Z | 2023-11-23T18:50:00Z | 2023-11-23T18:50:00Z | null | NONE | [] | null | null | {
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Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Motivation
In my environment... | {
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https://api.github.com/repos/huggingface/datasets/issues/3625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3625/comments | https://api.github.com/repos/huggingface/datasets/issues/3625/events | https://github.com/huggingface/datasets/issues/3625 | 1,113,017,522 | I_kwDODunzps5CV0yy | 3,625 | Add a metadata field for when source data was produced | {
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"A question to the datasets maintainers: is there a policy about how the set of allowed metadata fields is maintained and expanded?\r\n\r\nMetadata are very important, but defining the standard is always a struggle between allowing exhaustivity without being too complex. Archivists have Dublin Core, open data has h... | 2022-01-24T18:52:39Z | 2022-06-28T13:54:49Z | null | null | MEMBER | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
The current problem is that information about when source data was produced is not easily visible. Though there are a variety of metadata fields available in the dataset viewer, time period information is not included. This feature request suggests mak... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4682 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4682/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4682/comments | https://api.github.com/repos/huggingface/datasets/issues/4682/events | https://github.com/huggingface/datasets/issues/4682 | 1,304,788,215 | I_kwDODunzps5NxXz3 | 4,682 | weird issue/bug with columns (dataset iterable/stream mode) | {
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} | 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/381/comments | https://api.github.com/repos/huggingface/datasets/issues/381/events | https://github.com/huggingface/datasets/issues/381 | 655,277,119 | MDU6SXNzdWU2NTUyNzcxMTk= | 381 | NLp | {
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https://api.github.com/repos/huggingface/datasets/issues/6090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6090/comments | https://api.github.com/repos/huggingface/datasets/issues/6090/events | https://github.com/huggingface/datasets/issues/6090 | 1,825,865,043 | I_kwDODunzps5s1H1T | 6,090 | FilesIterable skips all the files after a hidden file | {
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"Thanks for reporting. We've merged a PR with a fix."
] | 2023-07-28T07:25:57Z | 2023-07-28T10:51:14Z | 2023-07-28T10:50:11Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When initializing `FilesIterable` with a list of file paths using `FilesIterable.from_paths`, it will discard all the files after a hidden file.
The problem is in [this line](https://github.com/huggingface/datasets/blob/88896a7b28610ace95e444b94f9a4bc332cc1ee3/src/datasets/download/download_manag... | {
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https://api.github.com/repos/huggingface/datasets/issues/6675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6675/comments | https://api.github.com/repos/huggingface/datasets/issues/6675/events | https://github.com/huggingface/datasets/issues/6675 | 2,139,640,381 | I_kwDODunzps5_iFI9 | 6,675 | Allow image model (color conversion) to be specified as part of datasets Image() decode | {
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"It would be a great addition indeed :)\r\n\r\nThis can be implemented the same way we have `sampling_rate` for Audio(): we just add a new parameter to the Image() type and take this parameter into account in `Image.decode_example`\r\n\r\nEDIT: adding an example of how it can be used:\r\n\r\n```python\r\nds = ds.ca... | 2024-02-16T23:43:20Z | 2024-03-18T15:41:34Z | 2024-03-18T15:41:34Z | null | NONE | [] | null | null | {
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} | ### Feature request
Typical torchvision / torch Datasets in image applications apply color conversion in the Dataset portion of the code as part of image decode, separately from the image transform stack. This is true for PIL.Image where convert is usually called in dataset, for native torchvision https://pytorch.or... | {
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https://api.github.com/repos/huggingface/datasets/issues/723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/723/comments | https://api.github.com/repos/huggingface/datasets/issues/723/events | https://github.com/huggingface/datasets/issues/723 | 718,926,723 | MDU6SXNzdWU3MTg5MjY3MjM= | 723 | Adding pseudo-labels to datasets | {
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"Nice ! :)\r\nIt's indeed the first time we have such contributions so we'll have to figure out the appropriate way to integrate them.\r\nCould you add details on what they could be used for ?\r\n",
"They can be used as training data for a smaller model.",
"Sounds just like a regular dataset to me then, no?",
... | 2020-10-11T21:05:45Z | 2021-08-03T05:11:51Z | 2021-08-03T05:11:51Z | {
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} | I recently [uploaded pseudo-labels](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/precomputed_pseudo_labels.md) for CNN/DM, XSUM and WMT16-en-ro to s3, and thom mentioned I should add them to this repo.
Since pseudo-labels are just a large model's generations on an existing dataset, what is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6864/comments | https://api.github.com/repos/huggingface/datasets/issues/6864/events | https://github.com/huggingface/datasets/issues/6864 | 2,276,986,981 | I_kwDODunzps6HuBBl | 6,864 | Dataset 'rewardsignal/reddit_writing_prompts' doesn't exist on the Hub | {
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"Hi @vinodrajendran001, thanks for reporting.\r\n\r\nIndeed the dataset no longer exists on the Hub. The URL https://huggingface.co/datasets/rewardsignal/reddit_writing_prompts gives 404 Not Found error."
] | 2024-05-03T06:03:30Z | 2024-05-06T06:36:42Z | 2024-05-06T06:36:41Z | {
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} | ### Describe the bug
The dataset `rewardsignal/reddit_writing_prompts` is missing in Huggingface Hub.
### Steps to reproduce the bug
```
from datasets import load_dataset
prompt_response_dataset = load_dataset("rewardsignal/reddit_writing_prompts", data_files="prompt_responses_full.csv", split='train[:80%]... | {
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https://api.github.com/repos/huggingface/datasets/issues/5494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5494/comments | https://api.github.com/repos/huggingface/datasets/issues/5494/events | https://github.com/huggingface/datasets/issues/5494 | 1,566,655,348 | I_kwDODunzps5dYUN0 | 5,494 | Update audio installation doc page | {
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"Totally agree, the docs should be in sync with our code.\r\n\r\nIndeed to avoid confusing users, I think we should have updated the docs at the same time as this PR:\r\n- #5167",
"@albertvillanova yeah sure I should have, but I forgot back then, sorry for that πΆ",
"No, @polinaeterna, nothing to be sorry about... | 2023-02-01T19:07:50Z | 2023-03-02T16:08:17Z | 2023-03-02T16:08:17Z | null | CONTRIBUTOR | [] | null | null | {
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} | Our [installation documentation page](https://huggingface.co/docs/datasets/installation#audio) says that one can use Datasets for mp3 only with `torchaudio<0.12`. `torchaudio>0.12` is actually supported too but requires a specific version of ffmpeg which is not easily installed on all linux versions but there is a cust... | {
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https://api.github.com/repos/huggingface/datasets/issues/3686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3686/comments | https://api.github.com/repos/huggingface/datasets/issues/3686/events | https://github.com/huggingface/datasets/issues/3686 | 1,127,137,290 | I_kwDODunzps5DLsAK | 3,686 | `Translation` features cannot be `flatten`ed | {
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"Thanks for reporting, @SBrandeis! Some additional feature types that don't behave as expected when flattened: `Audio`, `Image` and `TranslationVariableLanguages`"
] | 2022-02-08T11:33:48Z | 2022-03-18T17:28:13Z | 2022-03-18T17:28:13Z | {
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(`Dataset.flatten`)[https://github.com/huggingface/datasets/blob/master/src/datasets/arrow_dataset.py#L1265] fails for columns with feature (`Translation`)[https://github.com/huggingface/datasets/blob/3edbeb0ec6519b79f1119adc251a1a6b379a2c12/src/datasets/features/translation.py#L8]
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See: https://github.com/huggingface/datasets/actions/runs/9712659783
```
test (integration, windows-latest, deps-minimum)
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https://api.github.com/repos/huggingface/datasets/issues/5539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5539/comments | https://api.github.com/repos/huggingface/datasets/issues/5539/events | https://github.com/huggingface/datasets/issues/5539 | 1,587,970,083 | I_kwDODunzps5epoAj | 5,539 | IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number | {
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"Hi! The `set_transform` does not apply a custom formatting transform on a single example but the entire batch, so the fixed version of your transform would look as follows:\r\n```python\r\nfrom datasets import load_dataset\r\nimport torch\r\n\r\ndataset = load_dataset(\"lambdalabs/pokemon-blip-captions\", split='t... | 2023-02-16T16:08:51Z | 2023-02-22T10:30:30Z | 2023-02-21T13:03:57Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When dataset contains a 0-dim tensor, formatting.py raises a following error and fails.
```bash
Traceback (most recent call last):
File "<path>/lib/python3.8/site-packages/datasets/formatting/formatting.py", line 501, in format_row
return _unnest(formatted_batch)
File "<path>/lib/py... | {
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https://api.github.com/repos/huggingface/datasets/issues/2886 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2886/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2886/comments | https://api.github.com/repos/huggingface/datasets/issues/2886/events | https://github.com/huggingface/datasets/issues/2886 | 992,534,632 | MDU6SXNzdWU5OTI1MzQ2MzI= | 2,886 | Hj | {
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https://api.github.com/repos/huggingface/datasets/issues/6935 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6935/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6935/comments | https://api.github.com/repos/huggingface/datasets/issues/6935/events | https://github.com/huggingface/datasets/issues/6935 | 2,325,612,022 | I_kwDODunzps6KngX2 | 6,935 | Support for pathlib.Path in datasets 2.19.0 | {
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"+1 I just noticed this when I tried to update `datasets` today.",
"The same issue, I also get error."
] | 2024-05-30T12:53:36Z | 2025-01-14T11:50:22Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
After the recent update of `datasets`, Dataset.save_to_disk does not accept a pathlib.Path anymore. It was supported in 2.18.0 and previous versions. Is this intentional? Was it supported before only because of a Python dusk-typing miracle?
### Steps to reproduce the bug
```
from datasets impor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5039 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5039/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5039/comments | https://api.github.com/repos/huggingface/datasets/issues/5039/events | https://github.com/huggingface/datasets/issues/5039 | 1,390,353,315 | I_kwDODunzps5S3xuj | 5,039 | Hendrycks Checksum | {
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"Thanks for reporting, @DanielHesslow. We are fixing it. ",
"@albertvillanova thanks for taking care of this so quickly!",
"The dataset metadata is fixed. You can download it normally."
] | 2022-09-29T06:56:20Z | 2022-09-29T10:23:30Z | 2022-09-29T10:04:20Z | {
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The checksum for [hendrycks_test](https://huggingface.co/datasets/hendrycks_test) does not compare correctly, I guess it has been updated on the remote.
```
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://people.eecs.berkeley.edu/~hendrycks/data.... | {
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https://api.github.com/repos/huggingface/datasets/issues/7611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7611/comments | https://api.github.com/repos/huggingface/datasets/issues/7611/events | https://github.com/huggingface/datasets/issues/7611 | 3,141,383,940 | I_kwDODunzps67PbcE | 7,611 | Code example for dataset.add_column() does not reflect correct way to use function | {
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"Hi @shaily99 \n\nThanks for pointing this out β you're absolutely right!\n\nThe current example in the docstring for add_column() implies in-place modification, which is misleading since add_column() actually returns a new dataset.",
"#self-assign\n"
] | 2025-06-12T19:42:29Z | 2025-07-17T13:14:18Z | 2025-07-17T13:14:18Z | null | NONE | [] | null | null | {
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The example seems to suggest that dataset.add_column() can add column inplace, however, this is wrong -- it cannot. It returns a new dataset with the column added to it. | {
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https://api.github.com/repos/huggingface/datasets/issues/7000 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7000/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7000/comments | https://api.github.com/repos/huggingface/datasets/issues/7000/events | https://github.com/huggingface/datasets/issues/7000 | 2,372,887,585 | I_kwDODunzps6Nb2Qh | 7,000 | IterableDataset: Unsupported ScalarType BFloat16 | {
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"@lhoestq Thank you for merging #6607, but unfortunately the issue persists for `IterableDataset` :pensive: ",
"Hi ! I opened https://github.com/huggingface/datasets/pull/7002 to fix this bug",
"Amazing, thank you so much @lhoestq! :pray:"
] | 2024-06-25T14:43:26Z | 2024-06-25T16:04:00Z | 2024-06-25T15:51:53Z | null | NONE | [] | null | null | {
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`IterableDataset.from_generator` crashes when using BFloat16:
```
File "/usr/local/lib/python3.11/site-packages/datasets/utils/_dill.py", line 169, in _save_torchTensor
args = (obj.detach().cpu().numpy(),)
^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: Got unsupported ScalarType ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5513 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5513/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5513/comments | https://api.github.com/repos/huggingface/datasets/issues/5513/events | https://github.com/huggingface/datasets/issues/5513 | 1,576,300,803 | I_kwDODunzps5d9HED | 5,513 | Some functions use a param named `type` shouldn't that be avoided since it's a Python reserved name? | {
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"Hi! Let's not do this - renaming it would be a breaking change, and going through the deprecation cycle is only worth it if it improves user experience.",
"Hi @mariosasko, ok it makes sense. Anyway, don't you think it's worth it at some point to start a deprecation cycle e.g. `fs` in `load_from_disk`? It doesn't... | 2023-02-08T15:13:46Z | 2023-07-24T16:02:18Z | 2023-07-24T14:27:59Z | null | MEMBER | [] | null | null | {
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} | Hi @mariosasko, @lhoestq, or whoever reads this! :)
After going through `ArrowDataset.set_format` I found out that the `type` param is actually named `type` which is a Python reserved name as you may already know, shouldn't that be renamed to `format_type` before the 3.0.0 is released?
Just wanted to get your inp... | {
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https://api.github.com/repos/huggingface/datasets/issues/835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/835/comments | https://api.github.com/repos/huggingface/datasets/issues/835/events | https://github.com/huggingface/datasets/issues/835 | 740,102,210 | MDU6SXNzdWU3NDAxMDIyMTA= | 835 | Wikipedia postprocessing | {
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"Hi @bminixhofer ! Parsing WikiMedia is notoriously difficult: this processing used [mwparserfromhell](https://github.com/earwig/mwparserfromhell) which is pretty good but not perfect.\r\n\r\nAs an alternative, you can also use the Wiki40b dataset which was pre-processed using an un-released Google internal tool",
... | 2020-11-10T17:26:38Z | 2020-11-10T18:23:20Z | 2020-11-10T17:49:21Z | null | NONE | [] | null | null | {
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Running this code:
```py
import datasets
wikipedia = datasets.load_dataset("wikipedia", "20200501.de")
print(wikipedia['train']['text'][0])
```
I get:
```
mini|Ricardo Flores MagΓ³n
mini|Mexikanische RevolutionΓ€re, MagΓ³n in der Mitte anfΓΌhrend, gegen die Diktatur von Porfir... | {
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https://api.github.com/repos/huggingface/datasets/issues/2130 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2130/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2130/comments | https://api.github.com/repos/huggingface/datasets/issues/2130/events | https://github.com/huggingface/datasets/issues/2130 | 843,111,936 | MDU6SXNzdWU4NDMxMTE5MzY= | 2,130 | wikiann dataset is missing columns | {
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"Here please find TFDS format of this dataset: https://www.tensorflow.org/datasets/catalog/wikiann\r\nwhere there is a span column, this is really necessary to be able to use the data, and I appreciate your help @lhoestq ",
"Hi !\r\nApparently you can get the spans from the NER tags using `tags_to_spans` defined ... | 2021-03-29T08:23:00Z | 2021-08-27T14:44:18Z | 2021-08-27T14:44:18Z | null | NONE | [] | null | null | {
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Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/4000 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4000/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4000/comments | https://api.github.com/repos/huggingface/datasets/issues/4000/events | https://github.com/huggingface/datasets/issues/4000 | 1,178,844,616 | I_kwDODunzps5GQ73I | 4,000 | load_dataset error: sndfile library not found | {
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"Hi @i-am-neo,\r\n\r\nThe audio support is an extra feature of `datasets` and therefore it must be installed as an additional optional dependency:\r\n```shell\r\npip install datasets[audio]\r\n```\r\nAdditionally, for specific MP3 support (which is not the case for AMI dataset, that contains WAV audio files), there... | 2022-03-24T01:52:32Z | 2022-03-25T17:53:33Z | 2022-03-25T17:53:33Z | null | NONE | [] | null | null | {
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Can't load ami dataset
## Steps to reproduce the bug
```
python3 -c "from datasets import load_dataset; print(load_dataset('ami', 'headset-single', split='validation')[0])"
```
## Expected results
## Actual results
Downloading and preparing dataset ami/headset-single (download: 10.71... | {
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https://api.github.com/repos/huggingface/datasets/issues/7112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7112/comments | https://api.github.com/repos/huggingface/datasets/issues/7112/events | https://github.com/huggingface/datasets/issues/7112 | 2,475,004,644 | I_kwDODunzps6ThZLk | 7,112 | cudf-cu12 24.4.1, ibis-framework 8.0.0 requires pyarrow<15.0.0a0,>=14.0.1,pyarrow<16,>=2 and datasets 2.21.0 requires pyarrow>=15.0.0 | {
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"@sayakpaul please advice ",
"Hits the same dependency conflict"
] | 2024-08-20T08:13:55Z | 2024-09-20T15:30:03Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
!pip install accelerate>=0.16.0 torchvision transformers>=4.25.1 datasets>=2.19.1 ftfy tensorboard Jinja2 peft==0.7.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4399/comments | https://api.github.com/repos/huggingface/datasets/issues/4399/events | https://github.com/huggingface/datasets/issues/4399 | 1,246,948,299 | I_kwDODunzps5KUuvL | 4,399 | LocalDatasetModuleFactoryWithoutScript extracts invalid builder name | {
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"descript... | closed | false | [] | null | [
"Ok, so\r\n```\r\nos.path.basename(\"/home/user/\")\r\n```\r\ngives `''` while \r\n```\r\nos.path.basename(\"/home/user\")\r\n```\r\ngives `user`. \r\nThe code should check if the last char is a slash.\r\n",
"The fix is:\r\n```\r\n\"name\": os.path.basename(self.path[:-1] if self.path[-1] == \"/\" else self.path)... | 2022-05-24T18:03:01Z | 2022-09-12T15:30:43Z | 2022-09-12T15:30:43Z | null | CONTRIBUTOR | [] | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
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} | ## Describe the bug
Trying to load a local dataset raises an error indicating that the config builder has to have a name.
No error should be reported, since the call is completly valid.
## Steps to reproduce the bug
```python
load_dataset("./data/some-dataset/", name="some-name")
```
## Expected results
The... | {
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https://api.github.com/repos/huggingface/datasets/issues/369 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/369/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/369/comments | https://api.github.com/repos/huggingface/datasets/issues/369/events | https://github.com/huggingface/datasets/issues/369 | 654,186,890 | MDU6SXNzdWU2NTQxODY4OTA= | 369 | can't load local dataset: pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries | {
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{
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
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] | closed | false | [] | null | [
"I am able to reproduce this with the official SQuAD `train-v2.0.json` file downloaded directly from https://rajpurkar.github.io/SQuAD-explorer/",
"I am facing this issue in transformers library 3.0.2 while reading a csv using datasets.\r\nIs this fixed in latest version? \r\nI updated the latest version 4.0.1 bu... | 2020-07-09T16:16:53Z | 2020-12-15T23:07:22Z | 2020-07-10T14:52:06Z | null | CONTRIBUTOR | [] | null | null | {
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"percent_completed": 0,
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | Trying to load a local SQuAD-formatted dataset (from a JSON file, about 60MB):
```
dataset = nlp.load_dataset(path='json', data_files={nlp.Split.TRAIN: ["./path/to/file.json"]})
```
causes
```
Traceback (most recent call last):
File "dataloader.py", line 9, in <module>
["./path/to/file.json"]})
File "/... | {
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https://api.github.com/repos/huggingface/datasets/issues/4651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4651/comments | https://api.github.com/repos/huggingface/datasets/issues/4651/events | https://github.com/huggingface/datasets/issues/4651 | 1,296,689,414 | I_kwDODunzps5NSekG | 4,651 | Add Flickr 30k Dataset | {
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{
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"default": false,
"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
}
] | closed | false | [] | null | [
"uploaded dataset [here](https://huggingface.co/datasets/embedding-data/flickr30k-captions)."
] | 2022-07-07T01:59:08Z | 2022-07-14T02:09:45Z | 2022-07-14T02:09:45Z | null | NONE | [] | null | null | {
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} | ## 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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https://api.github.com/repos/huggingface/datasets/issues/6134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6134/comments | https://api.github.com/repos/huggingface/datasets/issues/6134/events | https://github.com/huggingface/datasets/issues/6134 | 1,844,535,142 | I_kwDODunzps5t8V9m | 6,134 | `datasets` cannot be installed alongside `apache-beam` | {
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"I noticed that this is actually covered by issue #5613, which for some reason I didn't see when I searched the issues in this repo the first time."
] | 2023-08-10T06:54:32Z | 2023-09-01T03:19:49Z | 2023-08-10T15:22:10Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
If one installs `apache-beam` alongside `datasets` (which is required for the [wikipedia](https://huggingface.co/datasets/wikipedia#dataset-summary) dataset) in certain environments (such as a Google Colab notebook), they appear to install successfully, however, actually trying to do something s... | {
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https://api.github.com/repos/huggingface/datasets/issues/2703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2703/comments | https://api.github.com/repos/huggingface/datasets/issues/2703/events | https://github.com/huggingface/datasets/issues/2703 | 950,482,284 | MDU6SXNzdWU5NTA0ODIyODQ= | 2,703 | Bad message when config name is missing | {
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} | When loading a dataset that have several configurations, we expect to see an error message if the user doesn't specify a config name.
However in `datasets` 1.10.0 and 1.10.1 it doesn't show the right message:
```python
import datasets
datasets.load_dataset("glue")
```
raises
```python
AttributeError: 'Bui... | {
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https://api.github.com/repos/huggingface/datasets/issues/577 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/577/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/577/comments | https://api.github.com/repos/huggingface/datasets/issues/577/events | https://github.com/huggingface/datasets/issues/577 | 694,607,148 | MDU6SXNzdWU2OTQ2MDcxNDg= | 577 | Some languages in wikipedia dataset are not loading | {
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"Some wikipedia languages have already been processed by us and are hosted on our google storage. This is the case for \"fr\" and \"en\" for example.\r\n\r\nFor other smaller languages (in terms of bytes), they are directly downloaded and parsed from the wikipedia dump site.\r\nParsing can take some time for langua... | 2020-09-07T01:16:29Z | 2023-04-11T22:50:48Z | 2022-10-11T11:16:04Z | null | CONTRIBUTOR | [] | null | null | {
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} | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | {
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https://api.github.com/repos/huggingface/datasets/issues/5390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5390/comments | https://api.github.com/repos/huggingface/datasets/issues/5390/events | https://github.com/huggingface/datasets/issues/5390 | 1,509,357,553 | I_kwDODunzps5Z9vfx | 5,390 | Error when pushing to the CI hub | {
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"Hmmm, git bisect tells me that the behavior is the same since https://github.com/huggingface/datasets/commit/67e65c90e9490810b89ee140da11fdd13c356c9c (3 Oct), i.e. https://github.com/huggingface/datasets/pull/4926",
"Maybe related to the discussions in https://github.com/huggingface/datasets/pull/5196",
"Maybe... | 2022-12-23T13:36:37Z | 2022-12-23T20:29:02Z | 2022-12-23T20:29:02Z | null | COLLABORATOR | [] | null | null | {
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} | ### Describe the bug
Note that it's a special case where the Hub URL is "https://hub-ci.huggingface.co", which does not appear if we do the same on the Hub (https://huggingface.co).
The call to `dataset.push_to_hub(` fails:
```
Pushing dataset shards to the dataset hub: 100%|ββββββββββββββββββββββββββββββββββ... | {
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