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https://api.github.com/repos/huggingface/datasets/issues/7142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7142/comments | https://api.github.com/repos/huggingface/datasets/issues/7142/events | https://github.com/huggingface/datasets/issues/7142 | 2,512,244,938 | I_kwDODunzps6VvdDK | 7,142 | Specifying datatype when adding a column to a dataset. | {
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] | open | false | null | [] | null | 1 | 2024-09-08T07:34:24 | 2024-09-08T07:35:26 | null | NONE | null | null | null | ### Feature request
There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` of desi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7141/comments | https://api.github.com/repos/huggingface/datasets/issues/7141/events | https://github.com/huggingface/datasets/issues/7141 | 2,510,797,653 | I_kwDODunzps6Vp7tV | 7,141 | Older datasets throwing safety errors with 2.21.0 | {
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The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | {
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https://api.github.com/repos/huggingface/datasets/issues/7139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7139/comments | https://api.github.com/repos/huggingface/datasets/issues/7139/events | https://github.com/huggingface/datasets/issues/7139 | 2,508,078,858 | I_kwDODunzps6Vfj8K | 7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | {
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```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7138/comments | https://api.github.com/repos/huggingface/datasets/issues/7138/events | https://github.com/huggingface/datasets/issues/7138 | 2,507,738,308 | I_kwDODunzps6VeQzE | 7,138 | Cache only changed columns? | {
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] | open | false | null | [] | null | 1 | 2024-09-05T12:56:47 | 2024-09-05T13:56:13 | null | CONTRIBUTOR | null | null | null | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7137/comments | https://api.github.com/repos/huggingface/datasets/issues/7137/events | https://github.com/huggingface/datasets/issues/7137 | 2,506,851,048 | I_kwDODunzps6Va4Lo | 7,137 | [BUG] dataset_info sequence unexpected behavior in README.md YAML | {
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When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
feature... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7135/comments | https://api.github.com/repos/huggingface/datasets/issues/7135/events | https://github.com/huggingface/datasets/issues/7135 | 2,503,318,328 | I_kwDODunzps6VNZs4 | 7,135 | Bug: Type Mismatch in Dataset Mapping | {
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## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer instead of ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7134/comments | https://api.github.com/repos/huggingface/datasets/issues/7134/events | https://github.com/huggingface/datasets/issues/7134 | 2,499,484,041 | I_kwDODunzps6U-xmJ | 7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | {
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Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7129/comments | https://api.github.com/repos/huggingface/datasets/issues/7129/events | https://github.com/huggingface/datasets/issues/7129 | 2,491,942,650 | I_kwDODunzps6UiAb6 | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | {
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````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7128/comments | https://api.github.com/repos/huggingface/datasets/issues/7128/events | https://github.com/huggingface/datasets/issues/7128 | 2,490,274,775 | I_kwDODunzps6UbpPX | 7,128 | Filter Large Dataset Entry by Entry | {
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I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7127 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7127/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7127/comments | https://api.github.com/repos/huggingface/datasets/issues/7127/events | https://github.com/huggingface/datasets/issues/7127 | 2,486,524,966 | I_kwDODunzps6UNVwm | 7,127 | Caching shuffles by np.random.Generator results in unintiutive behavior | {
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Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same result ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7123/comments | https://api.github.com/repos/huggingface/datasets/issues/7123/events | https://github.com/huggingface/datasets/issues/7123 | 2,484,003,937 | I_kwDODunzps6UDuRh | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | {
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To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7122/comments | https://api.github.com/repos/huggingface/datasets/issues/7122/events | https://github.com/huggingface/datasets/issues/7122 | 2,482,491,258 | I_kwDODunzps6T9896 | 7,122 | [interleave_dataset] sample batches from a single source at a time | {
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] | open | false | null | [] | null | 0 | 2024-08-23T07:21:15 | 2024-08-23T07:21:15 | null | NONE | null | null | null | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7117/comments | https://api.github.com/repos/huggingface/datasets/issues/7117/events | https://github.com/huggingface/datasets/issues/7117 | 2,476,555,659 | I_kwDODunzps6TnT2L | 7,117 | Audio dataset load everything in RAM and is very slow | {
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To fix this issue, I'm using writer_batch_size tha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7116/comments | https://api.github.com/repos/huggingface/datasets/issues/7116/events | https://github.com/huggingface/datasets/issues/7116 | 2,475,522,721 | I_kwDODunzps6TjXqh | 7,116 | datasets cannot handle nested json if features is given. | {
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"avatar_url": "https://avatars.githubusercontent.com/u/38550511?v=4",
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"url": "https://api.github.com/users/ljw20180420",
"html_url": "https://github.com/ljw20180420",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | null | 3 | 2024-08-20T12:27:49 | 2024-09-03T10:18:23 | 2024-09-03T10:18:07 | NONE | null | null | null | ### Describe the bug
I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets.Value... | {
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https://api.github.com/repos/huggingface/datasets/issues/7115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7115/comments | https://api.github.com/repos/huggingface/datasets/issues/7115/events | https://github.com/huggingface/datasets/issues/7115 | 2,475,363,142 | I_kwDODunzps6TiwtG | 7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"url": "https://api.github.com/users/neurafusionai",
"html_url": "https://github.com/neurafusionai",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | null | 1 | 2024-08-20T11:05:44 | 2024-09-10T06:51:08 | 2024-09-10T06:51:08 | NONE | null | null | null | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | {
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https://api.github.com/repos/huggingface/datasets/issues/7113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7113/comments | https://api.github.com/repos/huggingface/datasets/issues/7113/events | https://github.com/huggingface/datasets/issues/7113 | 2,475,029,640 | I_kwDODunzps6ThfSI | 7,113 | Stream dataset does not iterate if the batch size is larger than the dataset size (related to drop_last_batch) | {
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"html_url": "https://github.com/memray",
"followers_url": "https://api.github.com/users/memray/foll... | [] | closed | false | null | [] | null | 1 | 2024-08-20T08:26:40 | 2024-08-26T04:24:11 | 2024-08-26T04:24:10 | NONE | null | null | null | ### Describe the bug
Hi there,
I use streaming and interleaving to combine multiple datasets saved in jsonl files. The size of dataset can vary (from 100ish to 100k-ish). I use dataset.map() and a big batch size to reduce the IO cost. It was working fine with datasets-2.16.1 but this problem shows up after I upgr... | {
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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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"followers_url": "https://api.github.com/users/Sou... | [] | open | false | null | [] | null | 1 | 2024-08-20T08:13:55 | 2024-08-20T08:14:25 | null | NONE | null | null | null | ### 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/7111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7111/comments | https://api.github.com/repos/huggingface/datasets/issues/7111/events | https://github.com/huggingface/datasets/issues/7111 | 2,474,915,845 | I_kwDODunzps6ThDgF | 7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | {
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"html_url": "https://github.com/albertvillanova",
"followers_... | null | 2 | 2024-08-20T07:27:28 | 2024-08-21T05:05:36 | 2024-08-20T09:02:36 | MEMBER | null | null | null | Ci is broken with error `Failed to fetch wheel: llvmlite==0.34.0`: https://github.com/huggingface/datasets/actions/runs/10466825281/job/28984414269
```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch wheel: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7109/comments | https://api.github.com/repos/huggingface/datasets/issues/7109/events | https://github.com/huggingface/datasets/issues/7109 | 2,473,367,848 | I_kwDODunzps6TbJko | 7,109 | ConnectionError for gated datasets and unauthenticated users | {
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"followers_... | null | 0 | 2024-08-19T13:27:45 | 2024-08-20T09:14:36 | 2024-08-20T09:14:35 | MEMBER | null | null | null | Since the Hub returns dataset info for gated datasets and unauthenticated users, there is dead code: https://github.com/huggingface/datasets/blob/98fdc9e78e6d057ca66e58a37f49d6618aab8130/src/datasets/load.py#L1846-L1852
We should remove the dead code and properly handle this case: currently we are raising a `Connect... | {
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https://api.github.com/repos/huggingface/datasets/issues/7108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7108/comments | https://api.github.com/repos/huggingface/datasets/issues/7108/events | https://github.com/huggingface/datasets/issues/7108 | 2,470,665,327 | I_kwDODunzps6TQ1xv | 7,108 | website broken: Create a new dataset repository, doesn't create a new repo in Firefox | {
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This issue is also reported here:
https://discuss.huggingface.co/t/create-a-new-dataset-repository-broken-page/102644
This page is broken.
https://huggingface.co/new-dataset
I fill in the form with my text, and click `Create Dataset`.
![Screenshot 2024-08-16 at 15 55 37](https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/7107 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7107/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7107/comments | https://api.github.com/repos/huggingface/datasets/issues/7107/events | https://github.com/huggingface/datasets/issues/7107 | 2,470,444,732 | I_kwDODunzps6TP_68 | 7,107 | load_dataset broken in 2.21.0 | {
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`eval_set = datasets.load_dataset("tatsu-lab/alpaca_eval", "alpaca_eval_gpt4_baseline", trust_remote_code=True)`
used to work till 2.20.0 but doesn't work in 2.21.0
In 2.20.0:
![Screenshot 2024-08-16 at 3 57 10 PM](https://github.com/user-attachments/assets/0516489b-8187-486d-bee8-88af3381de... | {
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https://api.github.com/repos/huggingface/datasets/issues/7102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7102/comments | https://api.github.com/repos/huggingface/datasets/issues/7102/events | https://github.com/huggingface/datasets/issues/7102 | 2,466,893,106 | I_kwDODunzps6TCc0y | 7,102 | Slow iteration speeds when using IterableDataset.shuffle with load_dataset(data_files=..., streaming=True) | {
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When I load a dataset from a number of arrow files, as in:
```
random_dataset = load_dataset(
"arrow",
data_files={split: shard_filepaths},
streaming=True,
split=split,
)
```
I'm able to get fast iteration speeds when iterating over the dataset without shuffling.
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7101/comments | https://api.github.com/repos/huggingface/datasets/issues/7101/events | https://github.com/huggingface/datasets/issues/7101 | 2,466,510,783 | I_kwDODunzps6TA_e_ | 7,101 | `load_dataset` from Hub with `name` to specify `config` using incorrect builder type when multiple data formats are present | {
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```yaml
configs:
- config_name: dataception
data_files:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7100/comments | https://api.github.com/repos/huggingface/datasets/issues/7100/events | https://github.com/huggingface/datasets/issues/7100 | 2,465,529,414 | I_kwDODunzps6S9P5G | 7,100 | IterableDataset: cannot resolve features from list of numpy arrays | {
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"html_url": "https://github.com/VeryLazyBoy",
"followers_url": "https://api.github.com/... | [] | open | false | null | [] | null | 0 | 2024-08-14T11:01:51 | 2024-08-14T11:01:51 | null | NONE | null | null | null | ### Describe the bug
when resolve features of `IterableDataset`, got `pyarrow.lib.ArrowInvalid: Can only convert 1-dimensional array values` error.
```
Traceback (most recent call last):
File "test.py", line 6
iter_ds = iter_ds._resolve_features()
File "lib/python3.10/site-packages/datasets/iterable_dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7097/comments | https://api.github.com/repos/huggingface/datasets/issues/7097/events | https://github.com/huggingface/datasets/issues/7097 | 2,458,455,489 | I_kwDODunzps6SiQ3B | 7,097 | Some of DownloadConfig's properties are always being overridden in load.py | {
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The `extract_compressed_file` and `force_extract` properties of DownloadConfig are always being set to True in the function `dataset_module_factory` in the `load.py` file. This behavior is very annoying because data extracted will just be ignored the next time the dataset is loaded.
See this im... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7093/comments | https://api.github.com/repos/huggingface/datasets/issues/7093/events | https://github.com/huggingface/datasets/issues/7093 | 2,454,413,074 | I_kwDODunzps6SS18S | 7,093 | Add Arabic Docs to datasets | {
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] | open | false | null | [] | null | 0 | 2024-08-07T21:48:05 | 2024-08-07T21:48:05 | null | NONE | null | null | null | ### Feature request
Add Arabic Docs to datasets
[Datasets Arabic](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
### Motivation
@AhmedAlmaghz
https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx
### Your contribution
@AhmedAlmaghz
https://github.com/AhmedAlma... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7092 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7092/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7092/comments | https://api.github.com/repos/huggingface/datasets/issues/7092/events | https://github.com/huggingface/datasets/issues/7092 | 2,451,393,658 | I_kwDODunzps6SHUx6 | 7,092 | load_dataset with multiple jsonlines files interprets datastructure too early | {
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likely related to #6460
using `datasets.load_dataset("json", data_dir= ... )` with multiple `.jsonl` files will error if one of the files (maybe the first file?) contains a full column of empty data.
### Steps to reproduce the bug
real world example:
data is available in this [PR-bra... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7090/comments | https://api.github.com/repos/huggingface/datasets/issues/7090/events | https://github.com/huggingface/datasets/issues/7090 | 2,449,699,490 | I_kwDODunzps6SA3Ki | 7,090 | The test test_move_script_doesnt_change_hash fails because it runs the 'python' command while the python executable has a different name | {
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Tests should use the same pythin path as they are launched with, which in the case of FreeBSD is /usr/local/bin/python3.11
Failure:
```
if err_filename is not None:
> raise child_exception_type(errno_num, err_msg, err_filename)
E FileNotFo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7089/comments | https://api.github.com/repos/huggingface/datasets/issues/7089/events | https://github.com/huggingface/datasets/issues/7089 | 2,449,479,500 | I_kwDODunzps6SABdM | 7,089 | Missing pyspark dependency causes the testsuite to error out, instead of a few tests to be skipped | {
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see the subject
### Steps to reproduce the bug
regular tests
### Expected behavior
n/a
### Environment info
version 2.20.0 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7088/comments | https://api.github.com/repos/huggingface/datasets/issues/7088/events | https://github.com/huggingface/datasets/issues/7088 | 2,447,383,940 | I_kwDODunzps6R4B2E | 7,088 | Disable warning when using with_format format on tensors | {
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] | open | false | null | [] | null | 0 | 2024-08-05T00:45:50 | 2024-08-05T00:45:50 | null | NONE | null | null | null | ### Feature request
If we write this code:
```python
"""Get data and define datasets."""
from enum import StrEnum
from datasets import load_dataset
from torch.utils.data import DataLoader
from torchvision import transforms
class Split(StrEnum):
"""Describes what type of split to use in the dataloa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7087/comments | https://api.github.com/repos/huggingface/datasets/issues/7087/events | https://github.com/huggingface/datasets/issues/7087 | 2,447,158,643 | I_kwDODunzps6R3K1z | 7,087 | Unable to create dataset card for Lushootseed language | {
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"followers_... | null | 2 | 2024-08-04T14:27:04 | 2024-08-06T06:59:23 | 2024-08-06T06:59:22 | NONE | null | null | null | ### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | {
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https://api.github.com/repos/huggingface/datasets/issues/7086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7086/comments | https://api.github.com/repos/huggingface/datasets/issues/7086/events | https://github.com/huggingface/datasets/issues/7086 | 2,445,516,829 | I_kwDODunzps6Rw6Ad | 7,086 | load_dataset ignores cached datasets and tries to hit HF Hub, resulting in API rate limit errors | {
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I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
### Steps to reproduce the bug
1. Be Me
2. Run `load_dataset("TAUR-Lab/MuSR")`
3. Hit rate limit error
4. Dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7085/comments | https://api.github.com/repos/huggingface/datasets/issues/7085/events | https://github.com/huggingface/datasets/issues/7085 | 2,440,008,618 | I_kwDODunzps6Rb5Oq | 7,085 | [Regression] IterableDataset is broken on 2.20.0 | {
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In the latest version of datasets there is a major regression, after creating an `IterableDataset` from a generator and applying a few operations (`map`, `select`), you can no longer iterate through the dataset multiple times.
The issue seems to stem from the recent addition of "resumable Itera... | {
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https://api.github.com/repos/huggingface/datasets/issues/7084 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7084/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7084/comments | https://api.github.com/repos/huggingface/datasets/issues/7084/events | https://github.com/huggingface/datasets/issues/7084 | 2,439,519,534 | I_kwDODunzps6RaB0u | 7,084 | More easily support streaming local files | {
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] | open | false | null | [] | null | 0 | 2024-07-31T09:03:15 | 2024-07-31T09:05:58 | null | CONTRIBUTOR | null | null | null | ### Feature request
Simplify downloading and streaming datasets locally. Specifically, perhaps add an option to `load_dataset(..., streaming="download_first")` or add better support for streaming symlinked or arrow files.
### Motivation
I have downloaded FineWeb-edu locally and currently trying to stream the d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7080/comments | https://api.github.com/repos/huggingface/datasets/issues/7080/events | https://github.com/huggingface/datasets/issues/7080 | 2,434,275,664 | I_kwDODunzps6RGBlQ | 7,080 | Generating train split takes a long time | {
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Loading a simple webdataset takes ~45 minutes.
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("PixArt-alpha/SAM-LLaVA-Captions10M")
```
### Expected behavior
The dataset should load immediately as it does when loaded through a normal indexed WebD... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7079/comments | https://api.github.com/repos/huggingface/datasets/issues/7079/events | https://github.com/huggingface/datasets/issues/7079 | 2,433,363,298 | I_kwDODunzps6RCi1i | 7,079 | HfHubHTTPError: 500 Server Error: Internal Server Error for url: | {
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newly uploaded datasets, since yesterday, yields an error.
old datasets, works fine.
Seems like the datasets api server returns a 500
I'm getting the same error, when I invoke `load_dataset` with my dataset.
Long discussion about it here, but I'm not sure anyone from huggingface have s... | {
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https://api.github.com/repos/huggingface/datasets/issues/7077 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7077/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7077/comments | https://api.github.com/repos/huggingface/datasets/issues/7077/events | https://github.com/huggingface/datasets/issues/7077 | 2,432,345,489 | I_kwDODunzps6Q-qWR | 7,077 | column_names ignored by load_dataset() when loading CSV file | {
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load_dataset() ignores the column_names kwarg when loading a CSV file. Instead, it uses whatever values are on the first line of the file.
### Steps to reproduce the bug
Call `load_dataset` to load data from a CSV file and specify `column_names` kwarg.
### Expected behavior
The resulting da... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7073/comments | https://api.github.com/repos/huggingface/datasets/issues/7073/events | https://github.com/huggingface/datasets/issues/7073 | 2,431,706,568 | I_kwDODunzps6Q8OXI | 7,073 | CI is broken for convert_to_parquet: Invalid rev id: refs/pr/1 404 error causes RevisionNotFoundError | {
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```
FAILED tests/test_hub.py::test_convert_to_parquet - huggingface_hub.utils._errors.RevisionNotFoundError: 404 Client Error. (Request ID: Root=1-66a25839-31ce7b475e70e7db1e4d44c2;b0c8870f-d5ef-4bf2-a6ff-0191f3df0f64)
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https://api.github.com/repos/huggingface/datasets/issues/7071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7071/comments | https://api.github.com/repos/huggingface/datasets/issues/7071/events | https://github.com/huggingface/datasets/issues/7071 | 2,430,313,011 | I_kwDODunzps6Q26Iz | 7,071 | Filter hangs | {
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When trying to filter my custom dataset, the process hangs, regardless of the lambda function used. It appears to be an issue with the way the Images are being handled. The dataset in question is a preprocessed version of https://huggingface.co/datasets/danaaubakirova/patfig where notably, I hav... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7070/comments | https://api.github.com/repos/huggingface/datasets/issues/7070/events | https://github.com/huggingface/datasets/issues/7070 | 2,430,285,235 | I_kwDODunzps6Q2zWz | 7,070 | how set_transform affects batch size? | {
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I am trying to fine-tune w2v-bert for ASR task. Since my dataset is so big, I preferred to use the on-the-fly method with set_transform. So i change the preprocessing function to this:
```
def prepare_dataset(batch):
input_features = processor(batch["audio"], sampling_rate=16000).input_feat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7066/comments | https://api.github.com/repos/huggingface/datasets/issues/7066/events | https://github.com/huggingface/datasets/issues/7066 | 2,425,125,160 | I_kwDODunzps6QjHko | 7,066 | One subset per file in repo ? | {
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```
single_subset_dataset/
├── train0.jsonl
├── train1.jsonl
└── train2.jsonl
```
but in cases like this, each file is actually a different subset of the dataset and should be loaded separately
```
many_subsets_dataset/
├── animals.jso... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7065/comments | https://api.github.com/repos/huggingface/datasets/issues/7065/events | https://github.com/huggingface/datasets/issues/7065 | 2,424,734,953 | I_kwDODunzps6QhoTp | 7,065 | Cannot get item after loading from disk and then converting to iterable. | {
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The dataset generated from local file works fine.
```py
root = "/home/data/train"
file_list1 = glob(os.path.join(root, "*part1.flac"))
file_list2 = glob(os.path.join(root, "*part2.flac"))
ds = (
Dataset.from_dict({"part1": file_list1, "part2": file_list2})
.cast_column("part1", Au... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7063/comments | https://api.github.com/repos/huggingface/datasets/issues/7063/events | https://github.com/huggingface/datasets/issues/7063 | 2,424,488,648 | I_kwDODunzps6QgsLI | 7,063 | Add `batch` method to `Dataset` | {
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] | closed | false | null | [] | null | 0 | 2024-07-23T07:36:59 | 2024-07-25T13:45:21 | 2024-07-25T13:45:21 | CONTRIBUTOR | null | null | null | ### Feature request
Add a `batch` method to the Dataset class, similar to the one recently implemented for `IterableDataset` in PR #7054.
### Motivation
A batched iteration speeds up data loading significantly (see e.g. #6279)
### Your contribution
I plan to open a PR to implement this. | {
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https://api.github.com/repos/huggingface/datasets/issues/7061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7061/comments | https://api.github.com/repos/huggingface/datasets/issues/7061/events | https://github.com/huggingface/datasets/issues/7061 | 2,423,786,881 | I_kwDODunzps6QeA2B | 7,061 | Custom Dataset | Still Raise Error while handling errors in _generate_examples | {
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I follow this [example](https://discuss.huggingface.co/t/error-handling-in-iterabledataset/72827/3) to handle errors in custom dataset. I am writing a dataset script which read jsonl files and i need to handle errors and continue reading files without raising exception and exit the execution.
`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7059/comments | https://api.github.com/repos/huggingface/datasets/issues/7059/events | https://github.com/huggingface/datasets/issues/7059 | 2,422,827,892 | I_kwDODunzps6QaWt0 | 7,059 | None values are skipped when reading jsonl in subobjects | {
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I have been fighting against my machine since this morning only to find out this is some kind of a bug.
When loading a dataset composed of `metadata.jsonl`, if you have nullable values (Optional[str]), they can be ignored by the parser, shifting things around.
E.g., let's take this example
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7058/comments | https://api.github.com/repos/huggingface/datasets/issues/7058/events | https://github.com/huggingface/datasets/issues/7058 | 2,422,560,355 | I_kwDODunzps6QZVZj | 7,058 | New feature type: Document | {
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https://github.com/huggingface/dataset-viewer/issues/2991#issuecomment-2242656069 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7055/comments | https://api.github.com/repos/huggingface/datasets/issues/7055/events | https://github.com/huggingface/datasets/issues/7055 | 2,421,708,891 | I_kwDODunzps6QWFhb | 7,055 | WebDataset with different prefixes are unsupported | {
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Consider a WebDataset with multiple images for each item where the number of images may vary: [example](https://huggingface.co/datasets/bigdata-pw/fashion-150k)
Due to this [code](https://github.com/huggingface/datasets/blob/87f4c2088854ff33e817e724e75179e9975c1b02/src/datasets/packaged_modules... | {
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https://api.github.com/repos/huggingface/datasets/issues/7053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7053/comments | https://api.github.com/repos/huggingface/datasets/issues/7053/events | https://github.com/huggingface/datasets/issues/7053 | 2,416,423,791 | I_kwDODunzps6QB7Nv | 7,053 | Datasets.datafiles resolve_pattern `TypeError: can only concatenate tuple (not "str") to tuple` | {
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"followers_... | null | 2 | 2024-07-18T13:42:35 | 2024-07-18T15:17:42 | 2024-07-18T15:16:18 | NONE | null | null | null | ### Describe the bug
in data_files.py, line 332,
`fs, _, _ = get_fs_token_paths(pattern, storage_options=storage_options)`
If we run the code on AWS, as fs.protocol will be a tuple like: `('file', 'local')`
So, `isinstance(fs.protocol, str) == False` and
`protocol_prefix = fs.protocol + "://" if fs.protocol != ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7051/comments | https://api.github.com/repos/huggingface/datasets/issues/7051/events | https://github.com/huggingface/datasets/issues/7051 | 2,409,353,929 | I_kwDODunzps6Pm9LJ | 7,051 | How to set_epoch with interleave_datasets? | {
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I want to train on an interleaved dataset of A+B, with stopping_strategy='all_exhausted' so dataset B doesn't repeat any examples. But every time A is exhausted I want it to be reshuffled (eg. calling set_epoch)
Of course I... | {
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https://api.github.com/repos/huggingface/datasets/issues/7049 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7049/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7049/comments | https://api.github.com/repos/huggingface/datasets/issues/7049/events | https://github.com/huggingface/datasets/issues/7049 | 2,408,514,366 | I_kwDODunzps6PjwM- | 7,049 | Save nparray as list | {
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When I use the `map` function to convert images into features, datasets saves nparray as a list. Some people use the `set_format` function to convert the column back, but doesn't this lose precision?
### Steps to reproduce the bug
the map function
```python
def convert_image_to_features(inst, ... | {
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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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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/7047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7047/comments | https://api.github.com/repos/huggingface/datasets/issues/7047/events | https://github.com/huggingface/datasets/issues/7047 | 2,406,495,084 | I_kwDODunzps6PcDNs | 7,047 | Save Dataset as Sharded Parquet | {
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] | open | false | null | [] | null | 2 | 2024-07-12T23:47:51 | 2024-07-17T12:07:08 | null | NONE | null | null | null | ### Feature request
`to_parquet` currently saves the dataset as one massive, monolithic parquet file, rather than as several small parquet files. It should shard large datasets automatically.
### Motivation
This default behavior makes me very sad because a program I ran for 6 hours saved its results using `to_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7041 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7041/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7041/comments | https://api.github.com/repos/huggingface/datasets/issues/7041/events | https://github.com/huggingface/datasets/issues/7041 | 2,404,576,038 | I_kwDODunzps6PUusm | 7,041 | `sort` after `filter` unreasonably slow | {
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"avatar_url": "https://avatars.githubusercontent.com/u/56711045?v=4",
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"html_url": "https://github.com/Tobin-rgb",
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as the tittle says ...
### Steps to reproduce the bug
`sort` seems to be normal.
```python
from datasets import Dataset
import random
nums = [{"k":random.choice(range(0,1000))} for _ in range(100000)]
ds = Dataset.from_list(nums)
print("start sort")
ds = ds.sort("k")
print("f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7040/comments | https://api.github.com/repos/huggingface/datasets/issues/7040/events | https://github.com/huggingface/datasets/issues/7040 | 2,402,918,335 | I_kwDODunzps6POZ-_ | 7,040 | load `streaming=True` dataset with downloaded cache | {
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"followers_url": "https://api.github.com/... | [] | open | false | null | [] | null | 2 | 2024-07-11T11:14:13 | 2024-07-11T14:11:56 | null | NONE | null | null | null | ### Describe the bug
We build a dataset which contains several hdf5 files and write a script using `h5py` to generate the dataset. The hdf5 files are large and the processed dataset cache takes more disk space. So we hope to try streaming iterable dataset. Unfortunately, `h5py` can't convert a remote URL into a hdf5 f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7142/comments | https://api.github.com/repos/huggingface/datasets/issues/7142/events | https://github.com/huggingface/datasets/issues/7142 | 2,512,244,938 | I_kwDODunzps6VvdDK | 7,142 | Specifying datatype when adding a column to a dataset. | {
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] | open | false | null | [] | null | 1 | 2024-09-08T07:34:24 | 2024-09-08T07:35:26 | null | NONE | null | null | null | ### Feature request
There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` of desi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7141/comments | https://api.github.com/repos/huggingface/datasets/issues/7141/events | https://github.com/huggingface/datasets/issues/7141 | 2,510,797,653 | I_kwDODunzps6Vp7tV | 7,141 | Older datasets throwing safety errors with 2.21.0 | {
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The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | {
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https://api.github.com/repos/huggingface/datasets/issues/7139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7139/comments | https://api.github.com/repos/huggingface/datasets/issues/7139/events | https://github.com/huggingface/datasets/issues/7139 | 2,508,078,858 | I_kwDODunzps6Vfj8K | 7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | {
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```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7138/comments | https://api.github.com/repos/huggingface/datasets/issues/7138/events | https://github.com/huggingface/datasets/issues/7138 | 2,507,738,308 | I_kwDODunzps6VeQzE | 7,138 | Cache only changed columns? | {
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] | open | false | null | [] | null | 1 | 2024-09-05T12:56:47 | 2024-09-05T13:56:13 | null | CONTRIBUTOR | null | null | null | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7137/comments | https://api.github.com/repos/huggingface/datasets/issues/7137/events | https://github.com/huggingface/datasets/issues/7137 | 2,506,851,048 | I_kwDODunzps6Va4Lo | 7,137 | [BUG] dataset_info sequence unexpected behavior in README.md YAML | {
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When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
feature... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7135/comments | https://api.github.com/repos/huggingface/datasets/issues/7135/events | https://github.com/huggingface/datasets/issues/7135 | 2,503,318,328 | I_kwDODunzps6VNZs4 | 7,135 | Bug: Type Mismatch in Dataset Mapping | {
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## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer instead of ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7134/comments | https://api.github.com/repos/huggingface/datasets/issues/7134/events | https://github.com/huggingface/datasets/issues/7134 | 2,499,484,041 | I_kwDODunzps6U-xmJ | 7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | {
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Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7129/comments | https://api.github.com/repos/huggingface/datasets/issues/7129/events | https://github.com/huggingface/datasets/issues/7129 | 2,491,942,650 | I_kwDODunzps6UiAb6 | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | {
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````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7128/comments | https://api.github.com/repos/huggingface/datasets/issues/7128/events | https://github.com/huggingface/datasets/issues/7128 | 2,490,274,775 | I_kwDODunzps6UbpPX | 7,128 | Filter Large Dataset Entry by Entry | {
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] | open | false | null | [] | null | 0 | 2024-08-27T20:31:09 | 2024-08-27T20:31:09 | null | NONE | null | null | null | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7127 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7127/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7127/comments | https://api.github.com/repos/huggingface/datasets/issues/7127/events | https://github.com/huggingface/datasets/issues/7127 | 2,486,524,966 | I_kwDODunzps6UNVwm | 7,127 | Caching shuffles by np.random.Generator results in unintiutive behavior | {
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Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same result ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7123/comments | https://api.github.com/repos/huggingface/datasets/issues/7123/events | https://github.com/huggingface/datasets/issues/7123 | 2,484,003,937 | I_kwDODunzps6UDuRh | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | {
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To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7122/comments | https://api.github.com/repos/huggingface/datasets/issues/7122/events | https://github.com/huggingface/datasets/issues/7122 | 2,482,491,258 | I_kwDODunzps6T9896 | 7,122 | [interleave_dataset] sample batches from a single source at a time | {
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] | open | false | null | [] | null | 0 | 2024-08-23T07:21:15 | 2024-08-23T07:21:15 | null | NONE | null | null | null | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7117/comments | https://api.github.com/repos/huggingface/datasets/issues/7117/events | https://github.com/huggingface/datasets/issues/7117 | 2,476,555,659 | I_kwDODunzps6TnT2L | 7,117 | Audio dataset load everything in RAM and is very slow | {
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To fix this issue, I'm using writer_batch_size tha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7116/comments | https://api.github.com/repos/huggingface/datasets/issues/7116/events | https://github.com/huggingface/datasets/issues/7116 | 2,475,522,721 | I_kwDODunzps6TjXqh | 7,116 | datasets cannot handle nested json if features is given. | {
"login": "ljw20180420",
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"node_id": "MDQ6VXNlcjM4NTUwNTEx",
"avatar_url": "https://avatars.githubusercontent.com/u/38550511?v=4",
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"url": "https://api.github.com/users/ljw20180420",
"html_url": "https://github.com/ljw20180420",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | null | 3 | 2024-08-20T12:27:49 | 2024-09-03T10:18:23 | 2024-09-03T10:18:07 | NONE | null | null | null | ### Describe the bug
I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets.Value... | {
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https://api.github.com/repos/huggingface/datasets/issues/7115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7115/comments | https://api.github.com/repos/huggingface/datasets/issues/7115/events | https://github.com/huggingface/datasets/issues/7115 | 2,475,363,142 | I_kwDODunzps6TiwtG | 7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"html_url": "https://github.com/neurafusionai",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | null | 1 | 2024-08-20T11:05:44 | 2024-09-10T06:51:08 | 2024-09-10T06:51:08 | NONE | null | null | null | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | {
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https://api.github.com/repos/huggingface/datasets/issues/7113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7113/comments | https://api.github.com/repos/huggingface/datasets/issues/7113/events | https://github.com/huggingface/datasets/issues/7113 | 2,475,029,640 | I_kwDODunzps6ThfSI | 7,113 | Stream dataset does not iterate if the batch size is larger than the dataset size (related to drop_last_batch) | {
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"url": "https://api.github.com/users/memray",
"html_url": "https://github.com/memray",
"followers_url": "https://api.github.com/users/memray/foll... | [] | closed | false | null | [] | null | 1 | 2024-08-20T08:26:40 | 2024-08-26T04:24:11 | 2024-08-26T04:24:10 | NONE | null | null | null | ### Describe the bug
Hi there,
I use streaming and interleaving to combine multiple datasets saved in jsonl files. The size of dataset can vary (from 100ish to 100k-ish). I use dataset.map() and a big batch size to reduce the IO cost. It was working fine with datasets-2.16.1 but this problem shows up after I upgr... | {
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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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"followers_url": "https://api.github.com/users/Sou... | [] | open | false | null | [] | null | 1 | 2024-08-20T08:13:55 | 2024-08-20T08:14:25 | null | NONE | null | null | null | ### 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/7111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7111/comments | https://api.github.com/repos/huggingface/datasets/issues/7111/events | https://github.com/huggingface/datasets/issues/7111 | 2,474,915,845 | I_kwDODunzps6ThDgF | 7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | {
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"html_url": "https://github.com/albertvillanova",
"followers_... | null | 2 | 2024-08-20T07:27:28 | 2024-08-21T05:05:36 | 2024-08-20T09:02:36 | MEMBER | null | null | null | Ci is broken with error `Failed to fetch wheel: llvmlite==0.34.0`: https://github.com/huggingface/datasets/actions/runs/10466825281/job/28984414269
```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch wheel: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7109/comments | https://api.github.com/repos/huggingface/datasets/issues/7109/events | https://github.com/huggingface/datasets/issues/7109 | 2,473,367,848 | I_kwDODunzps6TbJko | 7,109 | ConnectionError for gated datasets and unauthenticated users | {
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"followers_... | null | 0 | 2024-08-19T13:27:45 | 2024-08-20T09:14:36 | 2024-08-20T09:14:35 | MEMBER | null | null | null | Since the Hub returns dataset info for gated datasets and unauthenticated users, there is dead code: https://github.com/huggingface/datasets/blob/98fdc9e78e6d057ca66e58a37f49d6618aab8130/src/datasets/load.py#L1846-L1852
We should remove the dead code and properly handle this case: currently we are raising a `Connect... | {
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https://api.github.com/repos/huggingface/datasets/issues/7108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7108/comments | https://api.github.com/repos/huggingface/datasets/issues/7108/events | https://github.com/huggingface/datasets/issues/7108 | 2,470,665,327 | I_kwDODunzps6TQ1xv | 7,108 | website broken: Create a new dataset repository, doesn't create a new repo in Firefox | {
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This issue is also reported here:
https://discuss.huggingface.co/t/create-a-new-dataset-repository-broken-page/102644
This page is broken.
https://huggingface.co/new-dataset
I fill in the form with my text, and click `Create Dataset`.
![Screenshot 2024-08-16 at 15 55 37](https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/7107 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7107/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7107/comments | https://api.github.com/repos/huggingface/datasets/issues/7107/events | https://github.com/huggingface/datasets/issues/7107 | 2,470,444,732 | I_kwDODunzps6TP_68 | 7,107 | load_dataset broken in 2.21.0 | {
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"followers_url": "https://api.github.com/users/anjor/follower... | [] | closed | false | null | [] | null | 4 | 2024-08-16T14:59:51 | 2024-08-18T09:28:43 | 2024-08-18T09:27:12 | NONE | null | null | null | ### Describe the bug
`eval_set = datasets.load_dataset("tatsu-lab/alpaca_eval", "alpaca_eval_gpt4_baseline", trust_remote_code=True)`
used to work till 2.20.0 but doesn't work in 2.21.0
In 2.20.0:
![Screenshot 2024-08-16 at 3 57 10 PM](https://github.com/user-attachments/assets/0516489b-8187-486d-bee8-88af3381de... | {
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https://api.github.com/repos/huggingface/datasets/issues/7102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7102/comments | https://api.github.com/repos/huggingface/datasets/issues/7102/events | https://github.com/huggingface/datasets/issues/7102 | 2,466,893,106 | I_kwDODunzps6TCc0y | 7,102 | Slow iteration speeds when using IterableDataset.shuffle with load_dataset(data_files=..., streaming=True) | {
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When I load a dataset from a number of arrow files, as in:
```
random_dataset = load_dataset(
"arrow",
data_files={split: shard_filepaths},
streaming=True,
split=split,
)
```
I'm able to get fast iteration speeds when iterating over the dataset without shuffling.
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7101/comments | https://api.github.com/repos/huggingface/datasets/issues/7101/events | https://github.com/huggingface/datasets/issues/7101 | 2,466,510,783 | I_kwDODunzps6TA_e_ | 7,101 | `load_dataset` from Hub with `name` to specify `config` using incorrect builder type when multiple data formats are present | {
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"f... | [] | open | false | null | [] | null | 1 | 2024-08-14T18:12:25 | 2024-08-18T10:33:38 | null | NONE | null | null | null | Following [documentation](https://huggingface.co/docs/datasets/repository_structure#define-your-splits-and-subsets-in-yaml) I had defined different configs for [`Dataception`](https://huggingface.co/datasets/bigdata-pw/Dataception), a dataset of datasets:
```yaml
configs:
- config_name: dataception
data_files:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7100/comments | https://api.github.com/repos/huggingface/datasets/issues/7100/events | https://github.com/huggingface/datasets/issues/7100 | 2,465,529,414 | I_kwDODunzps6S9P5G | 7,100 | IterableDataset: cannot resolve features from list of numpy arrays | {
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"followers_url": "https://api.github.com/... | [] | open | false | null | [] | null | 0 | 2024-08-14T11:01:51 | 2024-08-14T11:01:51 | null | NONE | null | null | null | ### Describe the bug
when resolve features of `IterableDataset`, got `pyarrow.lib.ArrowInvalid: Can only convert 1-dimensional array values` error.
```
Traceback (most recent call last):
File "test.py", line 6
iter_ds = iter_ds._resolve_features()
File "lib/python3.10/site-packages/datasets/iterable_dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7097/comments | https://api.github.com/repos/huggingface/datasets/issues/7097/events | https://github.com/huggingface/datasets/issues/7097 | 2,458,455,489 | I_kwDODunzps6SiQ3B | 7,097 | Some of DownloadConfig's properties are always being overridden in load.py | {
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The `extract_compressed_file` and `force_extract` properties of DownloadConfig are always being set to True in the function `dataset_module_factory` in the `load.py` file. This behavior is very annoying because data extracted will just be ignored the next time the dataset is loaded.
See this im... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7093/comments | https://api.github.com/repos/huggingface/datasets/issues/7093/events | https://github.com/huggingface/datasets/issues/7093 | 2,454,413,074 | I_kwDODunzps6SS18S | 7,093 | Add Arabic Docs to datasets | {
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] | open | false | null | [] | null | 0 | 2024-08-07T21:48:05 | 2024-08-07T21:48:05 | null | NONE | null | null | null | ### Feature request
Add Arabic Docs to datasets
[Datasets Arabic](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
### Motivation
@AhmedAlmaghz
https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx
### Your contribution
@AhmedAlmaghz
https://github.com/AhmedAlma... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7092 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7092/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7092/comments | https://api.github.com/repos/huggingface/datasets/issues/7092/events | https://github.com/huggingface/datasets/issues/7092 | 2,451,393,658 | I_kwDODunzps6SHUx6 | 7,092 | load_dataset with multiple jsonlines files interprets datastructure too early | {
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likely related to #6460
using `datasets.load_dataset("json", data_dir= ... )` with multiple `.jsonl` files will error if one of the files (maybe the first file?) contains a full column of empty data.
### Steps to reproduce the bug
real world example:
data is available in this [PR-bra... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7090/comments | https://api.github.com/repos/huggingface/datasets/issues/7090/events | https://github.com/huggingface/datasets/issues/7090 | 2,449,699,490 | I_kwDODunzps6SA3Ki | 7,090 | The test test_move_script_doesnt_change_hash fails because it runs the 'python' command while the python executable has a different name | {
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Tests should use the same pythin path as they are launched with, which in the case of FreeBSD is /usr/local/bin/python3.11
Failure:
```
if err_filename is not None:
> raise child_exception_type(errno_num, err_msg, err_filename)
E FileNotFo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7089/comments | https://api.github.com/repos/huggingface/datasets/issues/7089/events | https://github.com/huggingface/datasets/issues/7089 | 2,449,479,500 | I_kwDODunzps6SABdM | 7,089 | Missing pyspark dependency causes the testsuite to error out, instead of a few tests to be skipped | {
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see the subject
### Steps to reproduce the bug
regular tests
### Expected behavior
n/a
### Environment info
version 2.20.0 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7088/comments | https://api.github.com/repos/huggingface/datasets/issues/7088/events | https://github.com/huggingface/datasets/issues/7088 | 2,447,383,940 | I_kwDODunzps6R4B2E | 7,088 | Disable warning when using with_format format on tensors | {
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] | open | false | null | [] | null | 0 | 2024-08-05T00:45:50 | 2024-08-05T00:45:50 | null | NONE | null | null | null | ### Feature request
If we write this code:
```python
"""Get data and define datasets."""
from enum import StrEnum
from datasets import load_dataset
from torch.utils.data import DataLoader
from torchvision import transforms
class Split(StrEnum):
"""Describes what type of split to use in the dataloa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7087/comments | https://api.github.com/repos/huggingface/datasets/issues/7087/events | https://github.com/huggingface/datasets/issues/7087 | 2,447,158,643 | I_kwDODunzps6R3K1z | 7,087 | Unable to create dataset card for Lushootseed language | {
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"followers_... | null | 2 | 2024-08-04T14:27:04 | 2024-08-06T06:59:23 | 2024-08-06T06:59:22 | NONE | null | null | null | ### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | {
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https://api.github.com/repos/huggingface/datasets/issues/7086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7086/comments | https://api.github.com/repos/huggingface/datasets/issues/7086/events | https://github.com/huggingface/datasets/issues/7086 | 2,445,516,829 | I_kwDODunzps6Rw6Ad | 7,086 | load_dataset ignores cached datasets and tries to hit HF Hub, resulting in API rate limit errors | {
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I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
### Steps to reproduce the bug
1. Be Me
2. Run `load_dataset("TAUR-Lab/MuSR")`
3. Hit rate limit error
4. Dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7085/comments | https://api.github.com/repos/huggingface/datasets/issues/7085/events | https://github.com/huggingface/datasets/issues/7085 | 2,440,008,618 | I_kwDODunzps6Rb5Oq | 7,085 | [Regression] IterableDataset is broken on 2.20.0 | {
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In the latest version of datasets there is a major regression, after creating an `IterableDataset` from a generator and applying a few operations (`map`, `select`), you can no longer iterate through the dataset multiple times.
The issue seems to stem from the recent addition of "resumable Itera... | {
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] | open | false | null | [] | null | 0 | 2024-07-31T09:03:15 | 2024-07-31T09:05:58 | null | CONTRIBUTOR | null | null | null | ### Feature request
Simplify downloading and streaming datasets locally. Specifically, perhaps add an option to `load_dataset(..., streaming="download_first")` or add better support for streaming symlinked or arrow files.
### Motivation
I have downloaded FineWeb-edu locally and currently trying to stream the d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7080/comments | https://api.github.com/repos/huggingface/datasets/issues/7080/events | https://github.com/huggingface/datasets/issues/7080 | 2,434,275,664 | I_kwDODunzps6RGBlQ | 7,080 | Generating train split takes a long time | {
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Loading a simple webdataset takes ~45 minutes.
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("PixArt-alpha/SAM-LLaVA-Captions10M")
```
### Expected behavior
The dataset should load immediately as it does when loaded through a normal indexed WebD... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7079/comments | https://api.github.com/repos/huggingface/datasets/issues/7079/events | https://github.com/huggingface/datasets/issues/7079 | 2,433,363,298 | I_kwDODunzps6RCi1i | 7,079 | HfHubHTTPError: 500 Server Error: Internal Server Error for url: | {
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newly uploaded datasets, since yesterday, yields an error.
old datasets, works fine.
Seems like the datasets api server returns a 500
I'm getting the same error, when I invoke `load_dataset` with my dataset.
Long discussion about it here, but I'm not sure anyone from huggingface have s... | {
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https://api.github.com/repos/huggingface/datasets/issues/7077 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7077/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7077/comments | https://api.github.com/repos/huggingface/datasets/issues/7077/events | https://github.com/huggingface/datasets/issues/7077 | 2,432,345,489 | I_kwDODunzps6Q-qWR | 7,077 | column_names ignored by load_dataset() when loading CSV file | {
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load_dataset() ignores the column_names kwarg when loading a CSV file. Instead, it uses whatever values are on the first line of the file.
### Steps to reproduce the bug
Call `load_dataset` to load data from a CSV file and specify `column_names` kwarg.
### Expected behavior
The resulting da... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7073/comments | https://api.github.com/repos/huggingface/datasets/issues/7073/events | https://github.com/huggingface/datasets/issues/7073 | 2,431,706,568 | I_kwDODunzps6Q8OXI | 7,073 | CI is broken for convert_to_parquet: Invalid rev id: refs/pr/1 404 error causes RevisionNotFoundError | {
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"followers_... | null | 9 | 2024-07-26T08:27:41 | 2024-07-27T05:48:02 | 2024-07-26T09:16:13 | MEMBER | null | null | null | See: https://github.com/huggingface/datasets/actions/runs/10095313567/job/27915185756
```
FAILED tests/test_hub.py::test_convert_to_parquet - huggingface_hub.utils._errors.RevisionNotFoundError: 404 Client Error. (Request ID: Root=1-66a25839-31ce7b475e70e7db1e4d44c2;b0c8870f-d5ef-4bf2-a6ff-0191f3df0f64)
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https://api.github.com/repos/huggingface/datasets/issues/7072 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7072/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7072/comments | https://api.github.com/repos/huggingface/datasets/issues/7072/events | https://github.com/huggingface/datasets/issues/7072 | 2,430,577,916 | I_kwDODunzps6Q36z8 | 7,072 | nm | {
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https://api.github.com/repos/huggingface/datasets/issues/7071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7071/comments | https://api.github.com/repos/huggingface/datasets/issues/7071/events | https://github.com/huggingface/datasets/issues/7071 | 2,430,313,011 | I_kwDODunzps6Q26Iz | 7,071 | Filter hangs | {
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"followers_url": "https://api.gi... | [] | open | false | null | [] | null | 0 | 2024-07-25T15:29:05 | 2024-07-25T15:36:59 | null | NONE | null | null | null | ### Describe the bug
When trying to filter my custom dataset, the process hangs, regardless of the lambda function used. It appears to be an issue with the way the Images are being handled. The dataset in question is a preprocessed version of https://huggingface.co/datasets/danaaubakirova/patfig where notably, I hav... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7070/comments | https://api.github.com/repos/huggingface/datasets/issues/7070/events | https://github.com/huggingface/datasets/issues/7070 | 2,430,285,235 | I_kwDODunzps6Q2zWz | 7,070 | how set_transform affects batch size? | {
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I am trying to fine-tune w2v-bert for ASR task. Since my dataset is so big, I preferred to use the on-the-fly method with set_transform. So i change the preprocessing function to this:
```
def prepare_dataset(batch):
input_features = processor(batch["audio"], sampling_rate=16000).input_feat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7067 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7067/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7067/comments | https://api.github.com/repos/huggingface/datasets/issues/7067/events | https://github.com/huggingface/datasets/issues/7067 | 2,425,460,168 | I_kwDODunzps6QkZXI | 7,067 | Convert_to_parquet fails for datasets with multiple configs | {
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"followers_... | null | 3 | 2024-07-23T15:09:33 | 2024-07-30T10:51:02 | 2024-07-30T10:51:02 | NONE | null | null | null | If the dataset has multiple configs, when using the `datasets-cli convert_to_parquet` command to avoid issues with the data viewer caused by loading scripts, the conversion process only successfully converts the data corresponding to the first config. When it starts converting the second config, it throws an error:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7066/comments | https://api.github.com/repos/huggingface/datasets/issues/7066/events | https://github.com/huggingface/datasets/issues/7066 | 2,425,125,160 | I_kwDODunzps6QjHko | 7,066 | One subset per file in repo ? | {
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```
single_subset_dataset/
├── train0.jsonl
├── train1.jsonl
└── train2.jsonl
```
but in cases like this, each file is actually a different subset of the dataset and should be loaded separately
```
many_subsets_dataset/
├── animals.jso... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7065/comments | https://api.github.com/repos/huggingface/datasets/issues/7065/events | https://github.com/huggingface/datasets/issues/7065 | 2,424,734,953 | I_kwDODunzps6QhoTp | 7,065 | Cannot get item after loading from disk and then converting to iterable. | {
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The dataset generated from local file works fine.
```py
root = "/home/data/train"
file_list1 = glob(os.path.join(root, "*part1.flac"))
file_list2 = glob(os.path.join(root, "*part2.flac"))
ds = (
Dataset.from_dict({"part1": file_list1, "part2": file_list2})
.cast_column("part1", Au... | null | {
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