number int64 2 7.91k | title stringlengths 1 290 | body stringlengths 0 228k | state stringclasses 2
values | created_at timestamp[s]date 2020-04-14 18:18:51 2025-12-16 10:45:02 | updated_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 19:34:46 | closed_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 14:20:48 β | url stringlengths 48 51 | author stringlengths 3 26 β | comments_count int64 0 70 | labels listlengths 0 4 |
|---|---|---|---|---|---|---|---|---|---|---|
6,287 | map() not recognizing "text" | ### Describe the bug
The [map() documentation](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/main_classes#datasets.Dataset.map) reads:
`
ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)`
I have been trying to reproduce it in my code as:
`tokenizedData... | CLOSED | 2023-10-09T10:27:30 | 2023-10-11T20:28:45 | 2023-10-11T20:28:45 | https://github.com/huggingface/datasets/issues/6287 | EngineerKhan | 1 | [] |
6,285 | TypeError: expected str, bytes or os.PathLike object, not dict | ### Describe the bug
my dataset is in form : train- image /n -labels
and tried the code:
```
from datasets import load_dataset
data_files = {
"train": "/content/datasets/PotholeDetectionYOLOv8-1/train/",
"validation": "/content/datasets/PotholeDetectionYOLOv8-1/valid/",
"test": "/content/dat... | OPEN | 2023-10-09T04:56:26 | 2023-10-10T13:17:33 | null | https://github.com/huggingface/datasets/issues/6285 | andysingal | 4 | [] |
6,284 | Add Belebele multiple-choice machine reading comprehension (MRC) dataset | ### Feature request
Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short pass... | CLOSED | 2023-10-06T06:58:03 | 2023-10-06T13:26:51 | 2023-10-06T13:26:51 | https://github.com/huggingface/datasets/issues/6284 | rajveer43 | 1 | [
"enhancement"
] |
6,280 | Couldn't cast array of type fixed_size_list to Sequence(Value(float64)) | ### Describe the bug
I have a dataset with an embedding column, when I try to map that dataset I get the following exception:
```
Traceback (most recent call last):
File "/Users/jmif/.virtualenvs/llm-training/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3189, in map
for rank, done, content... | CLOSED | 2023-10-05T12:48:31 | 2024-02-06T19:24:20 | 2024-02-06T19:24:20 | https://github.com/huggingface/datasets/issues/6280 | jmif | 4 | [] |
6,279 | Batched IterableDataset | ### Feature request
Hi,
could you add an implementation of a batched `IterableDataset`. It already support an option to do batch iteration via `.iter(batch_size=...)` but this cannot be used in combination with a torch `DataLoader` since it just returns an iterator.
### Motivation
The current implementation load... | OPEN | 2023-10-05T11:12:49 | 2024-11-07T10:01:22 | null | https://github.com/huggingface/datasets/issues/6279 | lneukom | 9 | [
"enhancement"
] |
6,277 | FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub either. | ### Describe the bug
I'm encountering a "FileNotFoundError" while attempting to use the "paws-x" dataset to retrain the DistilRoBERTa-base model. The error message is as follows:
FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub eit... | CLOSED | 2023-10-04T22:01:25 | 2023-10-08T17:05:46 | 2023-10-08T17:05:46 | https://github.com/huggingface/datasets/issues/6277 | diegogonzalezc | 1 | [] |
6,276 | I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error | ### Describe the bug
I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error, i'm following the steps in this blog post
https://huggingface.co/blog/fine-tune-whisper
I tried google collab and it works but because I'm on the free version the training ... | OPEN | 2023-10-04T11:03:41 | 2023-11-27T10:39:16 | null | https://github.com/huggingface/datasets/issues/6276 | valaofficial | 3 | [] |
6,275 | Would like to Contribute a dataset | I have a dataset of 2500 images that can be used for color-blind machine-learning algorithms. Since , there was no dataset available online , I made this dataset myself and would like to contribute this now to community | CLOSED | 2023-10-02T07:00:21 | 2023-10-10T16:27:54 | 2023-10-10T16:27:54 | https://github.com/huggingface/datasets/issues/6275 | vikas70607 | 1 | [] |
6,274 | FileNotFoundError for dataset with multiple builder config | ### Describe the bug
When there is only one config and only the dataset name is entered when using datasets.load_dataset(), it works fine. But if I create a second builder_config for my dataset and enter the config name when using datasets.load_dataset(), the following error will happen.
FileNotFoundError: [Errno 2... | CLOSED | 2023-10-01T23:45:56 | 2024-08-14T04:42:02 | 2023-10-02T20:09:38 | https://github.com/huggingface/datasets/issues/6274 | LouisChen15 | 2 | [] |
6,273 | Broken Link to PubMed Abstracts dataset . | ### Describe the bug
The link provided for the dataset is broken,
data_files =
[https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst](url)
The
### Steps to reproduce the bug
Steps to reproduce:
1) Head over to [https://huggingface.co/learn/nlp-course/chapt... | OPEN | 2023-10-01T19:08:48 | 2024-04-28T02:30:42 | null | https://github.com/huggingface/datasets/issues/6273 | sameemqureshi | 5 | [] |
6,272 | Duplicate `data_files` when named `<split>/<split>.parquet` | e.g. with `u23429/stock_1_minute_ticker`
```ipython
In [1]: from datasets import *
In [2]: b = load_dataset_builder("u23429/stock_1_minute_ticker")
Downloading readme: 100%|ββββββββββββββββββββββββββ| 627/627 [00:00<00:00, 246kB/s]
In [3]: b.config.data_files
Out[3]:
{NamedSplit('train'): ['hf://datasets/... | CLOSED | 2023-10-01T15:43:56 | 2024-03-15T15:22:05 | 2024-03-15T15:22:05 | https://github.com/huggingface/datasets/issues/6272 | lhoestq | 7 | [
"bug"
] |
6,271 | Overwriting Split overwrites data but not metadata, corrupting dataset | ### Describe the bug
I want to be able to overwrite/update/delete splits in my dataset. Currently the only way to do is to manually go into the dataset and delete the split. If I try to overwrite programmatically I end up in an error state and (somewhat) corrupting the dataset. Read below.
**Current Behavior**
Whe... | CLOSED | 2023-09-30T22:37:31 | 2023-10-16T13:30:50 | 2023-10-16T13:30:50 | https://github.com/huggingface/datasets/issues/6271 | govindrai | 0 | [] |
6,270 | Dataset.from_generator raises with sharded gen_args | ### Describe the bug
According to the docs of Datasets.from_generator:
```
gen_kwargs(`dict`, *optional*):
Keyword arguments to be passed to the `generator` callable.
You can define a sharded dataset by passing the list of shards in `gen_kwargs`.
```
So I'd expect that if gen_kwar... | CLOSED | 2023-09-30T16:50:06 | 2023-10-11T20:29:12 | 2023-10-11T20:29:11 | https://github.com/huggingface/datasets/issues/6270 | hartmans | 6 | [] |
6,267 | Multi label class encoding | ### Feature request
I have a multi label dataset and I'd like to be able to class encode the column and store the mapping directly in the features just as I can with a single label column. `class_encode_column` currently does not support multi labels.
Here's an example of what I'd like to encode:
```
data = {
... | OPEN | 2023-09-27T22:48:08 | 2023-10-26T18:46:08 | null | https://github.com/huggingface/datasets/issues/6267 | jmif | 7 | [
"enhancement"
] |
6,263 | CI is broken: ImportError: cannot import name 'context' from 'tensorflow.python' | Python 3.10 CI is broken for `test_py310`.
See: https://github.com/huggingface/datasets/actions/runs/6322990957/job/17169678812?pr=6262
```
FAILED tests/test_py_utils.py::TempSeedTest::test_tensorflow - ImportError: cannot import name 'context' from 'tensorflow.python' (/opt/hostedtoolcache/Python/3.10.13/x64/li... | CLOSED | 2023-09-27T08:12:05 | 2023-09-27T08:36:40 | 2023-09-27T08:36:40 | https://github.com/huggingface/datasets/issues/6263 | albertvillanova | 0 | [
"bug"
] |
6,261 | Can't load a dataset | ### Describe the bug
Can't seem to load the JourneyDB dataset.
It throws the following error:
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[15], line 2
1 # If the dataset is gated/priv... | CLOSED | 2023-09-26T15:46:25 | 2023-10-05T10:23:23 | 2023-10-05T10:23:22 | https://github.com/huggingface/datasets/issues/6261 | joaopedrosdmm | 5 | [] |
6,260 | REUSE_DATASET_IF_EXISTS don't work | ### Describe the bug
I use the following code to download natural_question dataset. Even though I have completely download it, the next time I run this code, the new download procedure will start and cover the original /data/lxy/NQ
config=datasets.DownloadConfig(resume_download=True,max_retries=100,cache_dir=r'/da... | CLOSED | 2023-09-26T03:02:16 | 2023-09-28T18:23:36 | 2023-09-28T18:23:36 | https://github.com/huggingface/datasets/issues/6260 | rangehow | 3 | [] |
6,259 | Duplicated Rows When Loading Parquet Files from Root Directory with Subdirectories | ### Describe the bug
When parquet files are saved in "train" and "val" subdirectories under a root directory, and datasets are then loaded using `load_dataset("parquet", data_dir="root_directory")`, the resulting dataset has duplicated rows for both the training and validation sets.
### Steps to reproduce the bug... | CLOSED | 2023-09-25T17:20:54 | 2024-03-15T15:22:04 | 2024-03-15T15:22:04 | https://github.com/huggingface/datasets/issues/6259 | MF-FOOM | 1 | [] |
6,257 | HfHubHTTPError - exceeded our hourly quotas for action: commit | ### Describe the bug
I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | CLOSED | 2023-09-25T06:11:43 | 2023-10-16T13:30:49 | 2023-10-16T13:30:48 | https://github.com/huggingface/datasets/issues/6257 | yuvalkirstain | 4 | [] |
6,256 | load_dataset() function's cache_dir does not seems to work | ### Describe the bug
datasets version: 2.14.5
when trying to run the following command
trec = load_dataset('trec', split='train[:1000]', cache_dir='/path/to/my/dir')
I keep getting error saying the command does not have permission to the default cache directory on my macbook pro machine.
It seems the cache_... | CLOSED | 2023-09-24T15:34:06 | 2025-05-14T10:08:53 | 2024-10-08T15:45:18 | https://github.com/huggingface/datasets/issues/6256 | andyzhu | 8 | [] |
6,254 | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | ### Describe the bug
Hey there,
Iβm using Dataset.from_generator() to convert a torch_dataset to the Huggingface Dataset.
However, when I debug my code on vscode, I find that it runs really slow on Dataset.from_generator() which may even 20 times longer then run the script on terminal.
### Steps to reproduce the bu... | CLOSED | 2023-09-23T02:07:26 | 2023-10-03T14:42:53 | 2023-10-03T14:42:53 | https://github.com/huggingface/datasets/issues/6254 | dontnet-wuenze | 1 | [] |
6,252 | exif_transpose not done to Image (PIL problem) | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | CLOSED | 2023-09-21T08:11:46 | 2024-03-19T15:29:43 | 2024-03-19T15:29:43 | https://github.com/huggingface/datasets/issues/6252 | rhajou | 2 | [
"enhancement"
] |
6,246 | Add new column to dataset | ### Describe the bug
```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | CLOSED | 2023-09-17T16:59:48 | 2023-09-18T16:20:09 | 2023-09-18T16:20:09 | https://github.com/huggingface/datasets/issues/6246 | andysingal | 4 | [] |
6,242 | Data alteration when loading dataset with unspecified inner sequence length | ### Describe the bug
When a dataset saved with a specified inner sequence length is loaded without specifying that length, the original data is altered and becomes inconsistent.
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Value, Sequence, load_dataset
# Repository ID
repo_id... | CLOSED | 2023-09-14T16:12:45 | 2023-09-19T17:53:18 | 2023-09-19T17:53:18 | https://github.com/huggingface/datasets/issues/6242 | qgallouedec | 2 | [] |
6,240 | Dataloader stuck on multiple GPUs | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | CLOSED | 2023-09-14T05:30:30 | 2023-09-14T23:54:42 | 2023-09-14T23:54:42 | https://github.com/huggingface/datasets/issues/6240 | kuri54 | 2 | [] |
6,239 | Load local audio data doesn't work | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | CLOSED | 2023-09-13T22:30:01 | 2023-09-15T14:32:10 | 2023-09-15T14:32:10 | https://github.com/huggingface/datasets/issues/6239 | abodacs | 2 | [] |
6,238 | `dataset.filter` ALWAYS removes the first item from the dataset when using batched=True | ### Describe the bug
If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition.
### Steps to reproduce the bug
Here's a minimal example:
```python
def filter_batch_always_true(batch, indices):
print("First index being passed into this filte... | CLOSED | 2023-09-13T20:20:37 | 2023-09-17T07:05:07 | 2023-09-17T07:05:07 | https://github.com/huggingface/datasets/issues/6238 | Taytay | 2 | [] |
6,237 | Tokenization with multiple workers is too slow | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | CLOSED | 2023-09-13T06:18:34 | 2023-09-19T21:54:58 | 2023-09-19T21:54:58 | https://github.com/huggingface/datasets/issues/6237 | macabdul9 | 1 | [] |
6,236 | Support buffer shuffle for to_tf_dataset | ### Feature request
I'm using to_tf_dataset to convert a large dataset to tf.data.Dataset and use Keras fit to train model.
Currently, to_tf_dataset only supports full size shuffle, which can be very slow on large dataset.
tf.data.Dataset support buffer shuffle by default.
shuffle(
buffer_size, seed=None, r... | OPEN | 2023-09-13T03:19:44 | 2023-09-18T01:11:21 | null | https://github.com/huggingface/datasets/issues/6236 | EthanRock | 3 | [
"enhancement"
] |
6,235 | Support multiprocessing for download/extract nestedly | ### Feature request
Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | OPEN | 2023-09-12T21:51:08 | 2023-09-12T21:51:08 | null | https://github.com/huggingface/datasets/issues/6235 | hgt312 | 0 | [
"enhancement"
] |
6,229 | Apply inference on all images in the dataset | ### Describe the bug
```
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[14], line 11
9 for idx, example in enumerate(dataset['train']):
10 image_path = example['image']
---> 11 mask... | CLOSED | 2023-09-10T08:36:12 | 2023-09-20T16:11:53 | 2023-09-20T16:11:52 | https://github.com/huggingface/datasets/issues/6229 | andysingal | 3 | [] |
6,225 | Conversion from RGB to BGR in Object Detection tutorial | The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB
> albumentations expects the image to be in BGR format, not RGB, so youβll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | CLOSED | 2023-09-08T06:49:19 | 2023-09-08T17:52:18 | 2023-09-08T17:52:17 | https://github.com/huggingface/datasets/issues/6225 | samokhinv | 1 | [] |
6,221 | Support saving datasets with custom formatting | Requested in https://discuss.huggingface.co/t/using-set-transform-on-a-dataset-leads-to-an-exception/53036.
I am not sure if supporting this is the best idea for the following reasons:
>For this to work, we would have to pickle a custom transform, which means the transform and the objects it references need to be... | OPEN | 2023-09-06T16:03:32 | 2023-09-06T18:32:07 | null | https://github.com/huggingface/datasets/issues/6221 | mariosasko | 1 | [] |
6,217 | `Dataset.to_dict()` ignore `decode=True` with Image feature | ### Describe the bug
`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | OPEN | 2023-09-06T09:26:16 | 2023-09-08T17:08:52 | null | https://github.com/huggingface/datasets/issues/6217 | qgallouedec | 1 | [] |
6,214 | Unpin fsspec < 2023.9.0 | Once root issue is fixed, remove temporary pin of fsspec < 2023.9.0 introduced by:
- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | CLOSED | 2023-09-05T11:02:58 | 2023-09-26T15:32:52 | 2023-09-26T15:32:52 | https://github.com/huggingface/datasets/issues/6214 | albertvillanova | 0 | [
"enhancement"
] |
6,212 | Tilde (~) is not supported for data_files | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | OPEN | 2023-09-04T14:23:49 | 2023-09-05T08:28:39 | null | https://github.com/huggingface/datasets/issues/6212 | exs-avianello | 2 | [] |
6,209 | CI is broken with AssertionError: 3 failed, 12 errors | Our CI is broken: 3 failed, 12 errors
See: https://github.com/huggingface/datasets/actions/runs/6069947111/job/16465138041
```
=========================== short test summary info ============================
FAILED tests/test_load.py::ModuleFactoryTest::test_LocalDatasetModuleFactoryWithoutScript_with_data_dir - ... | CLOSED | 2023-09-04T06:47:05 | 2023-09-04T07:30:01 | 2023-09-04T07:30:01 | https://github.com/huggingface/datasets/issues/6209 | albertvillanova | 0 | [
"bug"
] |
6,207 | No-script datasets with ZIP files do not load | While investigating an issue on a Hub dataset, I have discovered the no-script datasets containing ZIP files do not load.
For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
{
... | CLOSED | 2023-09-04T05:50:27 | 2023-09-04T09:13:33 | 2023-09-04T09:13:33 | https://github.com/huggingface/datasets/issues/6207 | albertvillanova | 0 | [
"bug"
] |
6,206 | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | ### Describe the bug
When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | CLOSED | 2023-09-04T04:14:00 | 2024-04-17T15:53:29 | 2023-09-04T06:05:49 | https://github.com/huggingface/datasets/issues/6206 | aihao2000 | 2 | [] |
6,203 | Support loading from a DVC remote repository | ### Feature request
Adding support for loading a file from a DVC repository, tracked remotely on a SCM.
### Motivation
DVC is a popular version control system to version and manage datasets. The files are stored on a remote object storage platform, but they are tracked using Git. Integration with DVC is possible thr... | CLOSED | 2023-09-01T14:04:52 | 2023-09-15T15:11:27 | 2023-09-15T15:11:27 | https://github.com/huggingface/datasets/issues/6203 | bilelomrani1 | 4 | [
"enhancement"
] |
6,202 | avoid downgrading jax version | ### Feature request
Whenever I `pip install datasets[jax]` it downgrades jax to version 0.3.25. I seem to be able to install this library first then upgrade jax back to version 0.4.13.
### Motivation
It would be nice to not overwrite currently installed version of jax if possible.
### Your contribution
I... | CLOSED | 2023-09-01T02:57:57 | 2023-10-12T16:28:59 | 2023-10-12T16:28:59 | https://github.com/huggingface/datasets/issues/6202 | chrisflesher | 1 | [
"enhancement"
] |
6,199 | Use load_dataset for local json files, but it not works | ### Describe the bug
when I use load_dataset to load my local datasetsοΌit always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
βjsonβ,
data_files=data_files)`
### Expected behavior
` fails with a `ValueError` since the latest `pandas` [release](https://pandas.pydata.org/docs/dev/whatsnew/v2.1.0.html) (`2.1.0`)
In their latest release we have:
> Improved error handling when using [DataFrame.to_json()](https://pandas.pydata.org/docs/dev/refere... | CLOSED | 2023-08-31T08:51:50 | 2023-09-01T10:35:10 | 2023-08-31T10:24:40 | https://github.com/huggingface/datasets/issues/6197 | exs-avianello | 3 | [] |
6,196 | Split order is not preserved | I have noticed that in some cases the split order is not preserved.
For example, consider a no-script dataset with configs:
```yaml
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
```
- Note the defined split order is [train, test]
On... | CLOSED | 2023-08-31T08:47:16 | 2023-08-31T13:48:43 | 2023-08-31T13:48:43 | https://github.com/huggingface/datasets/issues/6196 | albertvillanova | 0 | [
"bug"
] |
6,195 | Force to reuse cache at given path | ### Describe the bug
I have run the official example of MLM like:
```bash
python run_mlm.py \
--model_name_or_path roberta-base \
--dataset_name togethercomputer/RedPajama-Data-1T \
--dataset_config_name arxiv \
--per_device_train_batch_size 10 \
--preprocessing_num_workers 20 ... | CLOSED | 2023-08-30T18:44:54 | 2023-11-03T10:14:21 | 2023-08-30T19:00:45 | https://github.com/huggingface/datasets/issues/6195 | Luosuu | 2 | [] |
6,194 | Support custom fingerprinting with `Dataset.from_generator` | ### Feature request
When using `Dataset.from_generator`, the generator is hashed when building the fingerprint. Similar to `.map`, it would be interesting to let the user bypass this hashing by accepting a `fingerprint` argument to `.from_generator`.
### Motivation
Using the `.from_generator` constructor with ... | OPEN | 2023-08-29T22:43:13 | 2024-12-22T01:14:39 | null | https://github.com/huggingface/datasets/issues/6194 | bilelomrani1 | 7 | [
"enhancement"
] |
6,193 | Dataset loading script method does not work with .pyc file | ### Describe the bug
The huggingface dataset library specifically looks for β.pyβ file while loading the dataset using loading script approach and it does not work with β.pycβ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | OPEN | 2023-08-29T19:35:06 | 2023-08-31T19:47:29 | null | https://github.com/huggingface/datasets/issues/6193 | riteshkumarumassedu | 3 | [] |
6,190 | `Invalid user token` even when correct user token is passed! | ### Describe the bug
I'm working on a dataset which comprises other datasets on the hub.
URL: https://huggingface.co/datasets/open-asr-leaderboard/datasets-test-only
Note: Some of the sub-datasets in this metadataset require explicit access.
All the other datasets work fine, except, `common_voice`.
### Steps t... | CLOSED | 2023-08-29T12:37:03 | 2023-08-29T13:01:10 | 2023-08-29T13:01:09 | https://github.com/huggingface/datasets/issues/6190 | Vaibhavs10 | 2 | [] |
6,188 | [Feature Request] Check the length of batch before writing so that empty batch is allowed | ### Use Case
I use `dataset.map(process_fn, batched=True)` to process the dataset, with data **augmentations or filtering**. However, when all examples within a batch is filtered out, i.e. **an empty batch is returned**, the following error will be thrown:
```
ValueError: Schema and number of arrays unequal
`... | CLOSED | 2023-08-29T06:37:34 | 2023-09-19T21:55:38 | 2023-09-19T21:55:37 | https://github.com/huggingface/datasets/issues/6188 | namespace-Pt | 1 | [] |
6,187 | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | ### Describe the bug
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-48-6a7b3e847019>](https://localhost:8080/#) in <cell line: 7>()
5 }
6
----> 7 csv_datasets_reloaded = load_... | OPEN | 2023-08-29T05:49:56 | 2023-08-29T16:21:45 | null | https://github.com/huggingface/datasets/issues/6187 | andysingal | 1 | [] |
6,186 | Feature request: add code example of multi-GPU processing | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with π€ Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | CLOSED | 2023-08-28T10:00:59 | 2024-10-07T09:39:51 | 2023-11-22T15:42:20 | https://github.com/huggingface/datasets/issues/6186 | NielsRogge | 18 | [
"documentation",
"enhancement"
] |
6,185 | Error in saving the PIL image into *.arrow files using datasets.arrow_writer | ### Describe the bug
I am using the ArrowWriter from datasets.arrow_writer to save a json-style file as arrow files. Within the dictionary, it contains a feature called "image" which is a list of PIL.Image objects.
I am saving the json using the following script:
```
def save_to_arrow(path,temp):
with ArrowWri... | OPEN | 2023-08-26T12:15:57 | 2023-08-29T14:49:58 | null | https://github.com/huggingface/datasets/issues/6185 | HaozheZhao | 1 | [] |
6,184 | Map cache does not detect function changes in another module | ```python
# dataset.py
import os
import datasets
if not os.path.exists('/tmp/test.json'):
with open('/tmp/test.json', 'w') as file:
file.write('[{"text": "hello"}]')
def transform(example):
text = example['text']
# text += ' world'
return {'text': text}
data = datasets.load_dataset('json', ... | CLOSED | 2023-08-25T22:59:14 | 2023-08-29T20:57:07 | 2023-08-29T20:56:49 | https://github.com/huggingface/datasets/issues/6184 | jonathanasdf | 2 | [
"duplicate"
] |
6,183 | Load dataset with non-existent file | ### Describe the bug
When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data```
### Steps to reproduce the bug
... | CLOSED | 2023-08-25T22:21:22 | 2023-08-29T13:26:22 | 2023-08-29T13:26:22 | https://github.com/huggingface/datasets/issues/6183 | freQuensy23-coder | 2 | [] |
6,182 | Loading Meteor metric in HF evaluate module crashes due to datasets import issue | ### Describe the bug
When using python3.9 and ```evaluate``` module loading Meteor metric crashes at a non-existent import from ```datasets.config``` in ```datasets v2.14```
### Steps to reproduce the bug
```
from evaluate import load
meteor = load("meteor")
```
produces the following error:
```
from d... | CLOSED | 2023-08-25T14:54:06 | 2023-09-04T16:41:11 | 2023-08-31T14:38:23 | https://github.com/huggingface/datasets/issues/6182 | dsashulya | 4 | [] |
6,179 | Map cache with tokenizer | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | OPEN | 2023-08-25T12:55:18 | 2023-08-31T15:17:24 | null | https://github.com/huggingface/datasets/issues/6179 | jonathanasdf | 4 | [] |
6,178 | 'import datasets' throws "invalid syntax error" | ### Describe the bug
Hi,
I have been trying to import the datasets library but I keep gtting this error.
`Traceback (most recent call last):
File /opt/local/jupyterhub/lib64/python3.9/site-packages/IPython/core/interactiveshell.py:3508 in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
... | CLOSED | 2023-08-25T08:35:14 | 2023-09-27T17:33:39 | 2023-09-27T17:33:39 | https://github.com/huggingface/datasets/issues/6178 | elia-ashraf | 1 | [] |
6,176 | how to limit the size of memory mapped file? | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | OPEN | 2023-08-24T05:33:45 | 2023-10-11T06:00:10 | null | https://github.com/huggingface/datasets/issues/6176 | williamium3000 | 6 | [] |
6,173 | Fix CI for pyarrow 13.0.0 | pyarrow 13.0.0 just came out
```
FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different
Attribute "dtype" are different
[left]: datetime64[us, UTC]
[right]: datetime64[ns, UTC]
```
```
FAILED tests/test_table.py::test_cast_sliced_fi... | CLOSED | 2023-08-23T14:11:20 | 2023-08-25T13:06:53 | 2023-08-25T13:06:53 | https://github.com/huggingface/datasets/issues/6173 | lhoestq | 0 | [] |
6,172 | Make Dataset streaming queries retryable | ### Feature request
Streaming datasets, as intended, do not load the entire dataset in memory or disk. However, while querying the next data chunk from the remote, sometimes it is possible that the service is down or there might be other issues that may cause the query to fail. In such a scenario, it would be nice to ... | OPEN | 2023-08-23T13:15:38 | 2023-11-06T13:54:16 | null | https://github.com/huggingface/datasets/issues/6172 | rojagtap | 4 | [
"enhancement"
] |
6,169 | Configurations in yaml not working | ### Dataset configurations cannot be created in YAML/README
Hello! I'm trying to follow the docs here in order to create structure in my dataset as added from here (#5331): https://github.com/huggingface/datasets/blob/8b8e6ee067eb74e7965ca2a6768f15f9398cb7c8/docs/source/repository_structure.mdx#L110-L118
I have t... | OPEN | 2023-08-23T00:13:22 | 2023-08-23T15:35:31 | null | https://github.com/huggingface/datasets/issues/6169 | tsor13 | 4 | [] |
6,163 | Error type: ArrowInvalid Details: Failed to parse string: '[254,254]' as a scalar of type int32 | ### Describe the bug
I am getting the following error while I am trying to upload the CSV sheet to train a model. My CSV sheet content is exactly same as shown in the example CSV file in the Auto Train page. Attaching screenshot of error for reference. I have also tried converting the index of the answer that are inte... | OPEN | 2023-08-19T11:34:40 | 2025-07-22T12:04:46 | null | https://github.com/huggingface/datasets/issues/6163 | shishirCTC | 2 | [] |
6,162 | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | ### Describe the bug
When loading some jsonl from redpajama-data-1T github source [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) fails due to one row of the file containing an extra field called **symlink_target: string>**.
When deleting that line the loading... | OPEN | 2023-08-18T07:19:39 | 2023-08-18T17:00:35 | null | https://github.com/huggingface/datasets/issues/6162 | rbrugaro | 4 | [] |
6,159 | Add `BoundingBox` feature | ... to make working with object detection datasets easier. Currently, `Sequence(int_or_float, length=4)` can be used to represent this feature optimally (in the storage backend), so I only see this feature being useful if we make it work with the viewer. Also, bounding boxes usually come in 4 different formats (explain... | OPEN | 2023-08-17T20:49:51 | 2024-11-18T17:58:43 | null | https://github.com/huggingface/datasets/issues/6159 | mariosasko | 1 | [
"enhancement"
] |
6,157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | CLOSED | 2023-08-17T15:48:11 | 2023-09-27T17:36:14 | 2023-09-27T17:36:14 | https://github.com/huggingface/datasets/issues/6157 | aihao2000 | 13 | [] |
6,156 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | ### Describe the bug
Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb104eac4106bdc6ec0292f0dc61a/src/datasets/iterable_dataset.py#L1174-L1177
My question ... | CLOSED | 2023-08-17T10:58:20 | 2023-08-17T14:33:15 | 2023-08-17T14:33:14 | https://github.com/huggingface/datasets/issues/6156 | npuichigo | 3 | [] |
6,152 | FolderBase Dataset automatically resolves under current directory when data_dir is not specified | ### Describe the bug
FolderBase Dataset automatically resolves under current directory when data_dir is not specified.
For example:
```
load_dataset("audiofolder")
```
takes long time to resolve and collect data_files from current directory. But I think it should reach out to this line for error handling https:... | CLOSED | 2023-08-16T04:38:09 | 2025-06-18T14:18:42 | 2025-06-18T14:18:42 | https://github.com/huggingface/datasets/issues/6152 | npuichigo | 19 | [
"good first issue"
] |
6,151 | Faster sorting for single key items | ### Feature request
A faster way to sort a dataset which contains a large number of rows.
### Motivation
The current sorting implementations took significantly longer than expected when I was running on a dataset trying to sort by timestamps.
**Code snippet:**
```python
ds = datasets.load_dataset( "json"... | CLOSED | 2023-08-15T14:02:31 | 2023-08-21T14:38:26 | 2023-08-21T14:38:25 | https://github.com/huggingface/datasets/issues/6151 | jackapbutler | 2 | [
"enhancement"
] |
6,150 | Allow dataset implement .take | ### Feature request
I want to do:
```
dataset.take(512)
```
but it only works with streaming = True
### Motivation
uniform interface to data sets. Really surprising the above only works with streaming = True.
### Your contribution
Should be trivial to copy paste the IterableDataset .take to use the local pa... | OPEN | 2023-08-15T00:17:51 | 2023-08-17T13:49:37 | null | https://github.com/huggingface/datasets/issues/6150 | brando90 | 4 | [
"enhancement"
] |
6,149 | Dataset.from_parquet cannot load subset of columns | ### Describe the bug
When using `Dataset.from_parquet(path_or_paths, columns=[...])` and a subset of columns, loading fails with a variant of the following
```
ValueError: Couldn't cast
a: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 273
to
{'a': V... | CLOSED | 2023-08-14T23:28:22 | 2023-08-17T22:36:05 | 2023-08-17T22:36:05 | https://github.com/huggingface/datasets/issues/6149 | dwyatte | 1 | [] |
6,147 | ValueError when running BeamBasedBuilder with GCS path in cache_dir | ### Describe the bug
When running the BeamBasedBuilder with a GCS path specified in the cache_dir, the following ValueError occurs:
```
ValueError: Unable to get filesystem from specified path, please use the correct path or ensure the required dependency is installed, e.g., pip install apache-beam[gcp]. Path spec... | CLOSED | 2023-08-14T03:11:34 | 2024-03-18T16:59:15 | 2024-03-18T16:59:14 | https://github.com/huggingface/datasets/issues/6147 | ktrk115 | 2 | [] |
6,146 | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | ### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
---------------------------------------------------------------------------
SchemaInferenceError ... | CLOSED | 2023-08-13T05:17:56 | 2023-08-26T22:09:09 | 2023-08-26T22:09:09 | https://github.com/huggingface/datasets/issues/6146 | yusx-swapp | 4 | [] |
6,153 | custom load dataset to hub | ### System Info
kaggle notebook
i transformed dataset:
```
dataset = load_dataset("Dahoas/first-instruct-human-assistant-prompt")
```
to
formatted_dataset:
```
Dataset({
features: ['message_tree_id', 'message_tree_text'],
num_rows: 33143
})
```
but would like to know how to upload to hub
### ... | CLOSED | 2023-08-13T04:42:22 | 2023-11-21T11:50:28 | 2023-10-08T17:04:16 | https://github.com/huggingface/datasets/issues/6153 | andysingal | 5 | [] |
6,144 | NIH exporter file not found | ### Describe the bug
can't use or download the nih exporter pile data.
```
15 experiment_compute_diveristy_coeff_single_dataset_then_combined_datasets_with_domain_weights()
16 File "/lfs/ampere1/0/brando9/beyond-scale-language-data-diversity/src/diversity/div_coeff.py", line 474, in experiment_compute_diveri... | OPEN | 2023-08-11T19:05:25 | 2023-08-14T23:28:38 | null | https://github.com/huggingface/datasets/issues/6144 | brando90 | 6 | [] |
6,142 | the-stack-dedup fails to generate | ### Describe the bug
I'm getting an error generating the-stack-dedup with datasets 2.13.1, and with 2.14.4 nothing happens.
### Steps to reproduce the bug
My code:
```
import os
import datasets as ds
MY_CACHE_DIR = "/home/ubuntu/the-stack-dedup-local"
MY_TOKEN="my-token"
the_stack_ds = ds.load_dataset("... | CLOSED | 2023-08-11T05:10:49 | 2023-08-17T09:26:13 | 2023-08-17T09:26:13 | https://github.com/huggingface/datasets/issues/6142 | michaelroyzen | 4 | [] |
6,141 | TypeError: ClientSession._request() got an unexpected keyword argument 'https' | ### Describe the bug
Hello, when I ran the [code snippet](https://huggingface.co/docs/datasets/v2.14.4/en/loading#json) on the document, I encountered the following problem:
```
Python 3.10.9 (main, Mar 1 2023, 18:23:06) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more informatio... | CLOSED | 2023-08-11T02:40:32 | 2023-08-30T13:51:33 | 2023-08-30T13:51:33 | https://github.com/huggingface/datasets/issues/6141 | q935970314 | 1 | [] |
6,140 | Misalignment between file format specified in configs metadata YAML and the inferred builder | There is a misalignment between the format of the `data_files` specified in the configs metadata YAML (CSV):
```yaml
configs:
- config_name: default
data_files:
- split: train
path: data.csv
```
and the inferred builder (JSON). Note there are multiple JSON files in the repo, but they do not... | CLOSED | 2023-08-10T15:07:34 | 2023-08-17T20:37:20 | 2023-08-17T20:37:20 | https://github.com/huggingface/datasets/issues/6140 | albertvillanova | 0 | [
"bug"
] |
6,139 | Offline dataset viewer | ### Feature request
The dataset viewer feature is very nice. It enables to the user to easily view the dataset. However, when working for private companies we cannot always upload the dataset to the hub. Is there a way to create dataset viewer offline? I.e. to run a code that will open some kind of html or something t... | CLOSED | 2023-08-10T11:30:00 | 2024-09-24T18:36:35 | 2023-09-29T13:10:22 | https://github.com/huggingface/datasets/issues/6139 | yuvalkirstain | 7 | [
"enhancement",
"dataset-viewer"
] |
6,137 | (`from_spark()`) Unable to connect HDFS in pyspark YARN setting | ### Describe the bug
related issue: https://github.com/apache/arrow/issues/37057#issue-1841013613
---
Hello. I'm trying to interact with HDFS storage from a driver and workers of pyspark YARN cluster. Precisely I'm using **huggingface's `datasets`** ([link](https://github.com/huggingface/datasets)) library tha... | OPEN | 2023-08-10T11:03:08 | 2023-08-10T11:03:08 | null | https://github.com/huggingface/datasets/issues/6137 | kyoungrok0517 | 0 | [] |
6,136 | CI check_code_quality error: E721 Do not compare types, use `isinstance()` | After latest release of `ruff` (https://pypi.org/project/ruff/0.0.284/), we get the following CI error:
```
src/datasets/utils/py_utils.py:689:12: E721 Do not compare types, use `isinstance()`
``` | CLOSED | 2023-08-10T10:19:50 | 2023-08-10T11:22:58 | 2023-08-10T11:22:58 | https://github.com/huggingface/datasets/issues/6136 | albertvillanova | 0 | [
"maintenance"
] |
6,134 | `datasets` cannot be installed alongside `apache-beam` | ### 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... | CLOSED | 2023-08-10T06:54:32 | 2023-09-01T03:19:49 | 2023-08-10T15:22:10 | https://github.com/huggingface/datasets/issues/6134 | boyleconnor | 1 | [] |
6,133 | Dataset is slower after calling `to_iterable_dataset` | ### Describe the bug
Can anyone explain why looping over a dataset becomes slower after calling `to_iterable_dataset` to convert to `IterableDataset`
### Steps to reproduce the bug
Any dataset after converting to `IterableDataset`
### Expected behavior
Maybe it should be faster on big dataset? I only test on small... | OPEN | 2023-08-10T06:36:23 | 2023-08-16T09:18:54 | null | https://github.com/huggingface/datasets/issues/6133 | npuichigo | 2 | [] |
6,132 | to_iterable_dataset is missing in document | ### Describe the bug
to_iterable_dataset is missing in document
### Steps to reproduce the bug
to_iterable_dataset is missing in document
### Expected behavior
document enhancement
### Environment info
unrelated | CLOSED | 2023-08-09T15:15:03 | 2023-08-16T04:43:36 | 2023-08-16T04:43:29 | https://github.com/huggingface/datasets/issues/6132 | npuichigo | 1 | [] |
6,130 | default config name doesn't work when config kwargs are specified. | ### Describe the bug
https://github.com/huggingface/datasets/blob/12cfc1196e62847e2e8239fbd727a02cbc86ddec/src/datasets/builder.py#L518-L522
If `config_name` is `None`, `DEFAULT_CONFIG_NAME` should be select. But once users pass `config_kwargs` to their customized `BuilderConfig`, the logic is ignored, and dataset ... | CLOSED | 2023-08-09T12:43:15 | 2023-11-22T11:50:49 | 2023-11-22T11:50:48 | https://github.com/huggingface/datasets/issues/6130 | npuichigo | 15 | [] |
6,128 | IndexError: Invalid key: 88 is out of bounds for size 0 | ### Describe the bug
This bug generates when I use torch.compile(model) in my code, which seems to raise an error in datasets lib.
### Steps to reproduce the bug
I use the following code to fine-tune Falcon on my private dataset.
```python
import transformers
from transformers import (
AutoModelForCausalLM... | CLOSED | 2023-08-08T15:32:08 | 2023-12-26T07:51:57 | 2023-08-11T13:35:09 | https://github.com/huggingface/datasets/issues/6128 | TomasAndersonFang | 5 | [] |
6,126 | Private datasets do not load when passing token | ### Describe the bug
Since the release of `datasets` 2.14, private/gated datasets do not load when passing `token`: they raise `EmptyDatasetError`.
This is a non-planned backward incompatible breaking change.
Note that private datasets do load if instead `download_config` is passed:
```python
from datasets i... | CLOSED | 2023-08-07T15:06:47 | 2023-08-08T15:16:23 | 2023-08-08T15:16:23 | https://github.com/huggingface/datasets/issues/6126 | albertvillanova | 4 | [
"bug"
] |
6,125 | Reinforcement Learning and Robotics are not task categories in HF datasets metadata | ### Describe the bug
In https://huggingface.co/models there are task categories for RL and robotics but none in https://huggingface.co/datasets
Our lab is currently moving our datasets over to hugging face and would like to be able to add those 2 tags
Moreover we see some older datasets that do have that tag, bu... | CLOSED | 2023-08-05T23:59:42 | 2023-08-18T12:28:42 | 2023-08-18T12:28:42 | https://github.com/huggingface/datasets/issues/6125 | StoneT2000 | 0 | [] |
6,124 | Datasets crashing runs due to KeyError | ### Describe the bug
Hi all,
I have been running into a pretty persistent issue recently when trying to load datasets.
```python
train_dataset = load_dataset(
'llama-2-7b-tokenized',
split = 'train'
)
```
I receive a KeyError which crashes the runs.
```
Traceback (most recent call... | CLOSED | 2023-08-05T17:48:56 | 2023-11-30T16:28:57 | 2023-11-30T16:28:57 | https://github.com/huggingface/datasets/issues/6124 | conceptofmind | 7 | [] |
6,123 | Inaccurate Bounding Boxes in "wildreceipt" Dataset | ### Describe the bug
I would like to bring to your attention an issue related to the accuracy of bounding boxes within the "wildreceipt" dataset, which is made available through the Hugging Face API. Specifically, I have identified a discrepancy between the bounding boxes generated by the dataset loading commands, n... | CLOSED | 2023-08-05T14:34:13 | 2023-08-17T14:25:27 | 2023-08-17T14:25:26 | https://github.com/huggingface/datasets/issues/6123 | HamzaGbada | 1 | [] |
6,122 | Upload README via `push_to_hub` | ### Feature request
`push_to_hub` now allows users to upload datasets programmatically. However, based on the latest doc, we still need to open the dataset page to add readme file manually.
However, I do discover snippets to intialize a README for every `push_to_hub`:
```
dataset_card = (
DatasetCard(
... | CLOSED | 2023-08-04T21:00:27 | 2023-08-21T18:18:54 | 2023-08-21T18:18:54 | https://github.com/huggingface/datasets/issues/6122 | liyucheng09 | 1 | [
"enhancement"
] |
6,120 | Lookahead streaming support? | ### Feature request
From what I understand, streaming dataset currently pulls the data, and process the data as it is requested.
This can introduce significant latency delays when data is loaded into the training process, needing to wait for each segment.
While the delays might be dataset specific (or even mappi... | OPEN | 2023-08-04T04:01:52 | 2023-08-17T17:48:42 | null | https://github.com/huggingface/datasets/issues/6120 | PicoCreator | 1 | [
"enhancement"
] |
6,118 | IterableDataset.from_generator() fails with pickle error when provided a generator or iterator | ### Describe the bug
**Description**
Providing a generator in an instantiation of IterableDataset.from_generator() fails with `TypeError: cannot pickle 'generator' object` when the generator argument is supplied with a generator.
**Code example**
```
def line_generator(files: List[Path]):
if isinstance(f... | OPEN | 2023-08-04T01:45:04 | 2025-11-18T16:07:04 | null | https://github.com/huggingface/datasets/issues/6118 | finkga | 4 | [] |
6,116 | [Docs] The "Process" how-to guide lacks description of `select_columns` function | ### Feature request
The [how to process dataset guide](https://huggingface.co/docs/datasets/main/en/process) currently does not mention the [`select_columns`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.select_columns) function. It would be nice to include it in the gui... | CLOSED | 2023-08-03T13:45:10 | 2023-08-16T10:02:53 | 2023-08-16T10:02:53 | https://github.com/huggingface/datasets/issues/6116 | unifyh | 1 | [
"enhancement"
] |
6,114 | Cache not being used when loading commonvoice 8.0.0 | ### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used as the cached version last time I touched the ec2 ins... | CLOSED | 2023-08-02T23:18:11 | 2023-08-18T23:59:00 | 2023-08-18T23:59:00 | https://github.com/huggingface/datasets/issues/6114 | clabornd | 2 | [] |
6,113 | load_dataset() fails with streamlit caching inside docker | ### Describe the bug
When calling `load_dataset` in a streamlit application running within a docker container, get a failure with the error message:
EmptyDatasetError: The directory at hf://datasets/fetch-rewards/inc-rings-2000@bea27cf60842b3641eae418f38864a2ec4cde684 doesn't contain any data files
Traceback:
Fil... | CLOSED | 2023-08-02T20:20:26 | 2023-08-21T18:18:27 | 2023-08-21T18:18:27 | https://github.com/huggingface/datasets/issues/6113 | fierval | 1 | [] |
6,112 | yaml error using push_to_hub with generated README.md | ### Describe the bug
When I construct a dataset with the following features:
```
features = Features(
{
"pixel_values": Array3D(dtype="float64", shape=(3, 224, 224)),
"input_ids": Sequence(feature=Value(dtype="int64")),
"attention_mask": Sequence(Value(dtype="int64")),
"token... | CLOSED | 2023-08-02T18:21:21 | 2023-12-12T15:00:44 | 2023-12-12T15:00:44 | https://github.com/huggingface/datasets/issues/6112 | kevintee | 1 | [] |
6,111 | raise FileNotFoundError("Directory {dataset_path} is neither a `Dataset` directory nor a `DatasetDict` directory." ) | ### Describe the bug
For researchers in some countries or regions, it is usually the case that the download ability of `load_dataset` is disabled due to the complex network environment. People in these regions often prefer to use git clone or other programming tricks to manually download the files to the disk (for exa... | CLOSED | 2023-08-02T09:17:29 | 2023-08-29T02:00:28 | 2023-08-29T02:00:28 | https://github.com/huggingface/datasets/issues/6111 | 2catycm | 3 | [] |
6,110 | [BUG] Dataset initialized from in-memory data does not create cache. | ### Describe the bug
`Dataset` initialized from in-memory data (dictionary in my case, haven't tested with other types) does not create cache when processed with the `map` method, unlike `Dataset` initialized by other methods such as `load_dataset`.
### Steps to reproduce the bug
```python
# below code was ru... | CLOSED | 2023-08-01T11:58:58 | 2023-08-17T14:03:01 | 2023-08-17T14:03:00 | https://github.com/huggingface/datasets/issues/6110 | MattYoon | 1 | [] |
6,109 | Problems in downloading Amazon reviews from HF | ### Describe the bug
I have a script downloading `amazon_reviews_multi`.
When the download starts, I get
```
Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]
Downloading data: 243B [00:00, 1.43MB/s]
Downloading data files: 100%|ββββββββββ| 1/1 [00:01<00:00, 1.54s/it]
Extracting data files: 100%... | CLOSED | 2023-08-01T08:38:29 | 2025-07-18T17:47:30 | 2023-08-02T07:12:07 | https://github.com/huggingface/datasets/issues/6109 | 610v4nn1 | 3 | [] |
6,108 | Loading local datasets got strangely stuck | ### Describe the bug
I try to use `load_dataset()` to load several local `.jsonl` files as a dataset. Every line of these files is a json structure only containing one key `text` (yeah it is a dataset for NLP model). The code snippet is as:
```python
ds = load_dataset("json", data_files=LIST_OF_FILE_PATHS, num_proc=... | OPEN | 2023-08-01T02:28:06 | 2024-12-31T16:01:00 | null | https://github.com/huggingface/datasets/issues/6108 | LoveCatc | 7 | [] |
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