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https://github.com/huggingface/datasets/pull/7119 | 7,119 | Install transformers with numpy-2 CI | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-21T11:14:59Z | 2024-08-21T11:42:35Z | 2024-08-21T11:36:50Z | MEMBER | false | {
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Note that transformers no longer pins numpy < 2 since transformers-4.43.0:
- https://github.com/huggingface/transformers/pull/32018
- https://github.com/huggingface/transformers/releases/tag/v4.43.0 | {
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https://github.com/huggingface/datasets/pull/7118 | 7,118 | Allow numpy-2.1 and test it without audio extra | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-21T10:29:35Z | 2024-08-21T11:05:03Z | 2024-08-21T10:58:15Z | MEMBER | false | {
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This PR reverts:
- #7114
Note that audio extra tests can be included again with numpy-2.1 once next numba-0.61.0 version is released. | {
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https://github.com/huggingface/datasets/issues/7117 | 7,117 | Audio dataset load everything in RAM and is very slow | {
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"Hi ! I think the issue comes from the fact that you return `row` entirely, and therefore the dataset has to re-encode the audio data in `row`.\r\n\r\nCan you try this instead ?\r\n\r\n```python\r\n# map the dataset\r\ndef transcribe_audio(row):\r\n audio = row[\"audio\"] # get the audio but do nothing with it\... | 2024-08-20T21:18:12Z | 2024-08-26T13:11:55Z | null | NONE | null | null | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | null | {
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https://github.com/huggingface/datasets/issues/7116 | 7,116 | datasets cannot handle nested json if features is given. | {
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"Hi ! `Sequence` has a weird behavior for dictionaries (from tensorflow-datasets), use a regular list instead:\r\n\r\n```python\r\nds = datasets.load_dataset('json', data_files=\"./temp.json\", features=datasets.Features({\r\n 'ref1': datasets.Value('string'),\r\n 'ref2': datasets.Value('string'),\r\n 'cut... | 2024-08-20T12:27:49Z | 2024-09-03T10:18:23Z | 2024-09-03T10:18:07Z | NONE | 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://github.com/huggingface/datasets/issues/7115 | 7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"https://github.com/neurafusionai/Hugging_Face/blob/main/meta_opt_350m_customer_support_lora_v1.ipynb\r\n\r\ncouldnt train because of GPU\r\nI didnt pip install datasets -U\r\nbut looks like restarting worked"
] | 2024-08-20T11:05:44Z | 2024-09-10T06:51:08Z | 2024-09-10T06:51:08Z | NONE | 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://github.com/huggingface/datasets/pull/7114 | 7,114 | Temporarily pin numpy<2.1 to fix CI | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7114). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-20T08:42:57Z | 2024-08-20T09:09:27Z | 2024-08-20T09:02:35Z | MEMBER | false | {
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Fix #7111. | {
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https://github.com/huggingface/datasets/issues/7113 | 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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"That's expected behavior, it's also the same in `torch`:\r\n\r\n```python\r\n>>> list(DataLoader(list(range(5)), batch_size=10, drop_last=True))\r\n[]\r\n```"
] | 2024-08-20T08:26:40Z | 2024-08-26T04:24:11Z | 2024-08-26T04:24:10Z | NONE | 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://github.com/huggingface/datasets/issues/7112 | 7,112 | cudf-cu12 24.4.1, ibis-framework 8.0.0 requires pyarrow<15.0.0a0,>=14.0.1,pyarrow<16,>=2 and datasets 2.21.0 requires pyarrow>=15.0.0 | {
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"@sayakpaul please advice ",
"Hits the same dependency conflict"
] | 2024-08-20T08:13:55Z | 2024-09-20T15:30:03Z | null | NONE | 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://github.com/huggingface/datasets/issues/7111 | 7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | {
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"Note that the CI before was using:\r\n- llvmlite: 0.43.0\r\n- numba: 0.60.0\r\n\r\nNow it tries to use:\r\n- llvmlite: 0.34.0\r\n- numba: 0.51.2",
"The issue is because numba-0.60.0 pins numpy<2.1 and `uv` tries to install latest numpy-2.1.0 with an old numba-0.51.0 version (and llvmlite-0.34.0). See discussion ... | 2024-08-20T07:27:28Z | 2024-08-21T05:05:36Z | 2024-08-20T09:02:36Z | MEMBER | 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://github.com/huggingface/datasets/pull/7110 | 7,110 | Fix ConnectionError for gated datasets and unauthenticated users | {
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"Note that the CI error is unrelated to this PR and should be addressed in another PR. S... | 2024-08-20T05:26:54Z | 2024-08-20T15:11:35Z | 2024-08-20T09:14:35Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix `ConnectionError` for gated datasets and unauthenticated users. See:
- https://github.com/huggingface/dataset-viewer/issues/3025
Note that a recent change in the Hub returns dataset info for gated datasets and unauthenticated users, instead of raising a `GatedRepoError` as before. See:
- https://github.com/hug... | {
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https://github.com/huggingface/datasets/issues/7109 | 7,109 | ConnectionError for gated datasets and unauthenticated users | {
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We should remove the dead code and properly handle this case: currently we are raising a `Connect... | {
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https://github.com/huggingface/datasets/issues/7108 | 7,108 | website broken: Create a new dataset repository, doesn't create a new repo in Firefox | {
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"I don't reproduce, I was able to create a new repo: https://huggingface.co/datasets/severo/reproduce-datasets-issues-7108. Can you confirm it's still broken?",
"I have just tried again.\r\n\r\nFirefox: The `Create dataset` doesn't work. It has worked in the past. It's my preferred browser.\r\n\r\nChrome: The `Cr... | 2024-08-16T17:23:00Z | 2024-08-19T13:21:12Z | 2024-08-19T06:52:48Z | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/issues/7107 | 7,107 | load_dataset broken in 2.21.0 | {
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"There seems to be a PR related to the load_dataset path that went into 2.21.0 -- https://github.com/huggingface/datasets/pull/6862/files\r\n\r\nTaking a look at it now",
"+1\r\n\r\nDowngrading to 2.20.0 fixed my issue, hopefully helpful for others.",
"I tried adding a simple test to `test_load.py` with the alp... | 2024-08-16T14:59:51Z | 2024-08-18T09:28:43Z | 2024-08-18T09:27:12Z | NONE | 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://github.com/huggingface/datasets/pull/7106 | 7,106 | Rename LargeList.dtype to LargeList.feature | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-16T09:12:04Z | 2024-08-26T04:31:59Z | 2024-08-26T04:26:02Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Rename `LargeList.dtype` to `LargeList.feature`.
Note that `dtype` is usually used for NumPy data types ("int64", "float32",...): see `Value.dtype`.
However, `LargeList` attribute (like `Sequence.feature`) expects a `FeatureType` instead.
With this renaming:
- we avoid confusion about the expected type and
-... | {
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https://github.com/huggingface/datasets/pull/7105 | 7,105 | Use `huggingface_hub` cache | {
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"Nice\r\n\r\n<img width=\"141\" alt=\"Capture d’écran 2024-08-19 à 15 25 00\" src=\"ht... | 2024-08-15T14:45:22Z | 2024-09-12T04:36:08Z | 2024-08-21T15:47:16Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | - use `hf_hub_download()` from `huggingface_hub` for HF files
- `datasets` cache_dir is still used for:
- caching datasets as Arrow files (that back `Dataset` objects)
- extracted archives, uncompressed files
- files downloaded via http (datasets with scripts)
- I removed code that were made for http files (... | {
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https://github.com/huggingface/datasets/pull/7104 | 7,104 | remove more script docs | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-15T10:13:26Z | 2024-08-15T10:24:13Z | 2024-08-15T10:18:25Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/7103 | 7,103 | Fix args of feature docstrings | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-15T08:46:08Z | 2024-08-16T09:18:29Z | 2024-08-15T10:33:30Z | MEMBER | false | {
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Currently, some args do not appear in the docs because they are not properly parsed due to the lack of their type (between parentheses). | {
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https://github.com/huggingface/datasets/issues/7102 | 7,102 | Slow iteration speeds when using IterableDataset.shuffle with load_dataset(data_files=..., streaming=True) | {
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"Hi @lajd , I was skeptical about how we are saving the shards each as their own dataset (arrow file) in the script above, and so I updated the script to try out saving the shards in a few different file formats. From the experiments I ran, I saw binary format show significantly the best performance, with arrow a... | 2024-08-14T21:44:44Z | 2024-08-15T16:17:31Z | null | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/issues/7101 | 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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"Having looked into this further it seems the core of the issue is with two different formats in the same repo.\r\n\r\nWhen the `parquet` config is first, the `WebDataset`s are loaded as `parquet`, if the `WebDataset` configs are first, the `parquet` is loaded as `WebDataset`.\r\n\r\nA workaround in my case would b... | 2024-08-14T18:12:25Z | 2024-08-18T10:33:38Z | null | NONE | 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://github.com/huggingface/datasets/issues/7100 | 7,100 | IterableDataset: cannot resolve features from list of numpy arrays | {
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"Assign this issue to me under Hacktoberfest with hacktoberfest label inserted on the issue"
] | 2024-08-14T11:01:51Z | 2024-10-03T05:47:23Z | null | NONE | 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://github.com/huggingface/datasets/pull/7099 | 7,099 | Set dev version | {
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https://github.com/huggingface/datasets/pull/7098 | 7,098 | Release: 2.21.0 | {
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https://github.com/huggingface/datasets/issues/7097 | 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://github.com/huggingface/datasets/pull/7096 | 7,096 | Automatically create `cache_dir` from `cache_file_name` | {
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"Hi @albertvillanova, is this PR looking okay to you? Anything else you'd like to see?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7096). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",... | 2024-08-09T01:34:06Z | 2024-08-15T17:25:26Z | 2024-08-15T10:13:22Z | NONE | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | You get a pretty unhelpful error message when specifying a `cache_file_name` in a directory that doesn't exist, e.g. `cache_file_name="./cache/data.map"`
```python
import datasets
cache_file_name="./cache/train.map"
dataset = datasets.load_dataset("ylecun/mnist")
dataset["train"].map(lambda x: x, cache_file_na... | {
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https://github.com/huggingface/datasets/pull/7094 | 7,094 | Add Arabic Docs to Datasets | {
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} | Translate Docs into Arabic issue-number : #7093
[Arabic Docs](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
[English Docs](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/en/index.mdx)
@stevhliu | null | {
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https://github.com/huggingface/datasets/issues/7093 | 7,093 | Add Arabic Docs to datasets | {
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] | open | false | [] | 2024-08-07T21:48:05Z | 2024-08-07T21:48:05Z | null | NONE | 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://github.com/huggingface/datasets/issues/7092 | 7,092 | load_dataset with multiple jsonlines files interprets datastructure too early | {
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"I’ll take a look",
"Possible definitions of done for this issue:\r\n\r\n1. A fix so you can load your dataset specifically\r\n2. A general fix for datasets similar to this in the `datasets` library\r\n\r\nOption 1 is trivial. I think option 2 requires significant changes to the library.\r\n\r\nSince you outlined... | 2024-08-06T17:42:55Z | 2024-08-08T16:35:01Z | null | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/issues/7090 | 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://github.com/huggingface/datasets/issues/7089 | 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://github.com/huggingface/datasets/issues/7088 | 7,088 | Disable warning when using with_format format on tensors | {
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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://github.com/huggingface/datasets/issues/7087 | 7,087 | Unable to create dataset card for Lushootseed language | {
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"Thanks for reporting.\r\n\r\nIt is weird, because the language entry is in the list. See: https://github.com/huggingface/huggingface.js/blob/98e32f0ed4ee057a596f66a1dec738e5db9643d5/packages/languages/src/languages_iso_639_3.ts#L15186-L15189\r\n\r\nI have reported the issue:\r\n- https://github.com/huggingface/hug... | 2024-08-04T14:27:04Z | 2024-08-06T06:59:23Z | 2024-08-06T06:59:22Z | NONE | 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://github.com/huggingface/datasets/issues/7086 | 7,086 | load_dataset ignores cached datasets and tries to hit HF Hub, resulting in API rate limit errors | {
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"I'm having the same issue - running into rate limits when doing hyperparameter tuning even though the dataset is supposed to be cached. I feel like this behaviour should at the very least be documented, but honestly you should just not be running into rate limits in the first place when the dataset is cached. It e... | 2024-08-02T18:12:23Z | 2025-06-16T18:43:29Z | null | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/issues/7085 | 7,085 | [Regression] IterableDataset is broken on 2.20.0 | {
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"@lhoestq I detected this regression over on [DataDreamer](https://github.com/datadreamer-dev/DataDreamer)'s test suite. I put in these [monkey patches](https://github.com/datadreamer-dev/DataDreamer/blob/4cbaf9f39cf7bedde72bbaa68346e169788fbecb/src/_patches/datasets_reset_state_hack.py) in case that fixed it our t... | 2024-07-31T13:01:59Z | 2024-08-22T14:49:37Z | 2024-08-22T14:49:07Z | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/issues/7084 | 7,084 | More easily support streaming local files | {
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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://github.com/huggingface/datasets/pull/7083 | 7,083 | fix streaming from arrow files | {
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https://github.com/huggingface/datasets/pull/7082 | 7,082 | Support HTTP authentication in non-streaming mode | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7082). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-30T09:25:49Z | 2024-08-08T08:29:55Z | 2024-08-08T08:24:06Z | MEMBER | false | {
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- Note that currently, HTTP authentication is supported only in streaming mode.
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https://github.com/huggingface/datasets/pull/7081 | 7,081 | Set load_from_disk path type as PathLike | {
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https://github.com/huggingface/datasets/issues/7080 | 7,080 | Generating train split takes a long time | {
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"@alexanderswerdlow \r\nWhen no specific split is mentioned, the load_dataset library will load all available splits of the dataset. For example, if a dataset has \"train\" and \"test\" splits, the load_dataset function will load both into the DatasetDict object.\r\n\r\n![image](https://github.com/user-attachments/... | 2024-07-29T01:42:43Z | 2024-10-02T15:31:22Z | null | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/issues/7079 | 7,079 | HfHubHTTPError: 500 Server Error: Internal Server Error for url: | {
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"same issue here. @albertvillanova @lhoestq ",
"Also impacted by this issue in many of my datasets (though not all) - in my case, this also seems to affect datasets that have been updated recently. Git cloning and the web interface still work:\r\n- https://huggingface.co/api/datasets/acmc/cheat_reduced\r\n- https... | 2024-07-27T08:21:03Z | 2024-09-20T13:26:25Z | 2024-07-27T19:52:30Z | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/pull/7078 | 7,078 | Fix CI test_convert_to_parquet | {
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- #7074 | {
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https://github.com/huggingface/datasets/issues/7077 | 7,077 | column_names ignored by load_dataset() when loading CSV file | {
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"I confirm that `column_names` values are not copied to `names` variable because in this case `CsvConfig.__post_init__` is not called: `CsvConfig` is instantiated with default values and afterwards the `config_kwargs` are used to overwrite its attributes.\r\n\r\n@luismsgomes in the meantime, you can avoid the bug i... | 2024-07-26T14:18:04Z | 2024-07-30T07:52:26Z | null | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/pull/7076 | 7,076 | 🧪 Do not mock create_commit | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7076). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-07-26T13:44:42Z | 2024-07-27T05:48:17Z | 2024-07-27T05:48:17Z | MEMBER | true | {
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https://github.com/huggingface/datasets/pull/7075 | 7,075 | Update required soxr version from pre-release to release | {
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https://github.com/huggingface/datasets/pull/7074 | 7,074 | Fix CI by temporarily marking test_convert_to_parquet as expected to fail | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As a hotfix for CI, temporarily mark test_convert_to_parquet as expected to fail.
Fix #7073.
Revert once root cause is fixed. | {
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https://github.com/huggingface/datasets/issues/7073 | 7,073 | CI is broken for convert_to_parquet: Invalid rev id: refs/pr/1 404 error causes RevisionNotFoundError | {
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"Any recent change in the API backend rejecting parameter `revision=\"refs/pr/1\"` to `HfApi.preupload_lfs_files`?\r\n```\r\nf\"{endpoint}/api/{repo_type}s/{repo_id}/preupload/{revision}\"\r\n\r\nhttps://hub-ci.huggingface.co/api/datasets/__DUMMY_TRANSFORMERS_USER__/test-dataset-5188a8-17219154347516/preupload/refs... | 2024-07-26T08:27:41Z | 2024-07-27T05:48:02Z | 2024-07-26T09:16:13Z | MEMBER | 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)
Revision N... | {
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https://github.com/huggingface/datasets/issues/7072 | 7,072 | nm | {
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https://github.com/huggingface/datasets/issues/7071 | 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://github.com/huggingface/datasets/issues/7070 | 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://github.com/huggingface/datasets/pull/7069 | 7,069 | Fix push_to_hub by not calling create_branch if PR branch | {
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"cc @Wauplin maybe it's a `huggingface_hub` bug ?\r\n\r\nEDIT: ah actually the issue is ... | 2024-07-25T07:50:04Z | 2024-07-31T07:10:07Z | 2024-07-30T10:51:01Z | MEMBER | false | {
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Note that currently create_branch raises a 400 Bad Request error if the user passes a PR branch (e.g. `refs/pr/1`).
EDIT:
~~Fix push_to_hub by not calling create_branch if branch exists.~~
Note that currently create_branch raises a ... | {
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https://github.com/huggingface/datasets/pull/7068 | 7,068 | Fix prepare_single_hop_path_and_storage_options | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-24T05:52:34Z | 2024-07-29T07:02:07Z | 2024-07-29T06:56:15Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix `_prepare_single_hop_path_and_storage_options`:
- Do not pass HF authentication headers and HF user-agent to non-HF HTTP URLs
- Do not overwrite passed `storage_options` nested values:
- Before, when passed
```DownloadConfig(storage_options={"https": {"client_kwargs": {"raise_for_status": True}}})```,
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https://github.com/huggingface/datasets/issues/7067 | 7,067 | Convert_to_parquet fails for datasets with multiple configs | {
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"Many users have encountered the same issue, which has caused inconvenience.\r\n\r\nhttps://discuss.huggingface.co/t/convert-to-parquet-fails-for-datasets-with-multiple-configs/86733\r\n",
"Thanks for reporting.\r\n\r\nI will make the code more robust.",
"I have opened an issue in the huggingface-hub repo:\r\n-... | 2024-07-23T15:09:33Z | 2024-07-30T10:51:02Z | 2024-07-30T10:51:02Z | NONE | 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://github.com/huggingface/datasets/issues/7066 | 7,066 | One subset per file in repo ? | {
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"Hi @lhoestq! I’ve opened a PR that addresses this issue"
] | 2024-07-23T12:43:59Z | 2025-06-26T08:24:50Z | null | MEMBER | null | null | Right now we consider all the files of a dataset to be the same data, e.g.
```
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://github.com/huggingface/datasets/issues/7065 | 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://github.com/huggingface/datasets/pull/7064 | 7,064 | Add `batch` method to `Dataset` class | {
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"Looks good to me ! :)\r\n\r\nyou might want to add the `map` num_proc argument as well, for people who want to make it run faster",
"Thanks for the feedback @lhoestq! The last commits include:\r\n- Adding the `num_proc` parameter to `batch`\r\n- Adding tests similar to the one done for `IterableDataset.batch()`\... | 2024-07-23T08:40:43Z | 2024-07-25T13:51:25Z | 2024-07-25T13:45:20Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR introduces a new `batch` method to the `Dataset` class, aligning its functionality with the `IterableDataset.batch()` method (implemented in #7054). The implementation uses as well the existing `map` method for efficient batching of examples.
Key changes:
- Add `batch` method to `Dataset` class in `arrow_da... | {
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https://github.com/huggingface/datasets/issues/7063 | 7,063 | Add `batch` method to `Dataset` | {
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] | closed | false | [] | 2024-07-23T07:36:59Z | 2024-07-25T13:45:21Z | 2024-07-25T13:45:21Z | CONTRIBUTOR | 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://github.com/huggingface/datasets/pull/7062 | 7,062 | Avoid calling http_head for non-HTTP URLs | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-23T07:25:09Z | 2024-07-23T14:28:27Z | 2024-07-23T14:21:08Z | MEMBER | false | {
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Currently, it makes an unnecessary HTTP call (which adds latency) for non-HTTP protocols, like FTP, S3,...
I discovered this while working in an unrelated issue. | {
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https://github.com/huggingface/datasets/issues/7061 | 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://github.com/huggingface/datasets/pull/7060 | 7,060 | WebDataset BuilderConfig | {
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] | 2024-07-22T15:41:07Z | 2024-07-23T13:28:44Z | 2024-07-23T13:28:44Z | NONE | false | {
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} | This PR adds `WebDatasetConfig`.
Closes #7055 | {
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https://github.com/huggingface/datasets/issues/7059 | 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
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https://github.com/huggingface/datasets/issues/7058 | 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://github.com/huggingface/datasets/pull/7057 | 7,057 | Update load_hub.mdx | {
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https://github.com/huggingface/datasets/pull/7056 | 7,056 | Make `BufferShuffledExamplesIterable` resumable | {
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"Oh cool !\r\n\r\nThe time it takes to resume depends on the expected maximum distance in this case right ? Do you know its relationship with $B$ ?\r\n\r\nIn your test it already as high as 15k for $B=1024$, which is ok for text datasets but is maybe not ideal for datasets with heavy samples like audio/image/video ... | 2024-07-22T07:50:02Z | 2025-01-31T05:34:20Z | 2025-01-31T05:34:19Z | CONTRIBUTOR | false | {
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} | This PR aims to implement a resumable `BufferShuffledExamplesIterable`.
Instead of saving the entire buffer content, which is very memory-intensive, the newly implemented `BufferShuffledExamplesIterable` saves only the minimal state necessary for recovery, e.g., the random generator states and the state of the first e... | {
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https://github.com/huggingface/datasets/issues/7055 | 7,055 | WebDataset with different prefixes are unsupported | {
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"Since `datasets` uses is built on Arrow to store the data, it requires each sample to have the same columns.\r\n\r\nThis can be fixed by specifyign in advance the name of all the possible columns in the `dataset_info` in YAML, and missing values will be `None`",
"Thanks. This currently doesn't work for WebDatase... | 2024-07-22T01:14:19Z | 2024-07-24T13:26:30Z | 2024-07-23T13:28:46Z | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/pull/7054 | 7,054 | Add batching to `IterableDataset` | {
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"Cool ! Thanks for diving into it :)\r\n\r\nYour implementation is great and indeed supports shuffling and batching, you just need to additionally account for state_dict (for dataset [checkpointing+resuming](https://huggingface.co/docs/datasets/main/en/use_with_pytorch#checkpoint-and-resume))\r\n\r\nThat being said... | 2024-07-19T10:11:47Z | 2024-07-23T13:25:13Z | 2024-07-23T10:34:28Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I've taken a try at implementing a batched `IterableDataset` as requested in issue #6279. This PR adds a new `BatchedExamplesIterable` class and a `.batch()` method to the `IterableDataset` class.
The main changes are:
1. A new `BatchedExamplesIterable` that groups examples into batches.
2. A `.batch()` method for... | {
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https://github.com/huggingface/datasets/issues/7053 | 7,053 | Datasets.datafiles resolve_pattern `TypeError: can only concatenate tuple (not "str") to tuple` | {
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"Hi,\r\n\r\nThis issue was fixed in `datasets` 2.15.0:\r\n- #6105\r\n\r\nYou will need to update your `datasets`:\r\n```\r\npip install -U datasets\r\n```",
"Duplicate of:\r\n- #6100"
] | 2024-07-18T13:42:35Z | 2024-07-18T15:17:42Z | 2024-07-18T15:16:18Z | NONE | 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://github.com/huggingface/datasets/pull/7052 | 7,052 | Adding `Music` feature for symbolic music modality (MIDI, abc) | {
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### What this PR does
This PR adds a `Music` feature for the symbolic music modality, in particular [MIDI](https://en.wikipedia.org/wiki/Musical_Instrument_Digital_Interface) and [abc](https://en.wikipedia.org/wiki/ABC_notation) files.
### Motivations
These two file formats are widely used in th... | {
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https://github.com/huggingface/datasets/issues/7051 | 7,051 | How to set_epoch with interleave_datasets? | {
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"This is not possible right now afaik :/\r\n\r\nMaybe we could have something like this ? wdyt ?\r\n\r\n```python\r\nds = interleave_datasets(\r\n [shuffled_dataset_a, dataset_b],\r\n probabilities=probabilities,\r\n stopping_strategy='all_exhausted',\r\n reshuffle_each_iteration=True,\r\n)",
"That wo... | 2024-07-15T18:24:52Z | 2024-08-05T20:58:04Z | 2024-08-05T20:58:04Z | NONE | null | null | Let's say I have dataset A which has 100k examples, and dataset B which has 100m examples.
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://github.com/huggingface/datasets/pull/7050 | 7,050 | add checkpoint and resume title in docs | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-15T15:38:04Z | 2024-07-15T16:06:15Z | 2024-07-15T15:59:56Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/7049 | 7,049 | Save nparray as list | {
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"In addition, when I use `set_format ` and index the ds, the following error occurs:\r\nthe code\r\n```python\r\nds.set_format(type=\"np\", colums=\"pixel_values\")\r\n```\r\nerror\r\n<img width=\"918\" alt=\"image\" src=\"https://github.com/user-attachments/assets/b28bbff2-20ea-4d28-ab62-b4ed2d944996\">\r\n",
">... | 2024-07-15T11:36:11Z | 2024-07-18T11:33:34Z | 2024-07-18T11:33:34Z | NONE | null | null | ### Describe the bug
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://github.com/huggingface/datasets/issues/7048 | 7,048 | ImportError: numpy.core.multiarray when using `filter` | {
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"I got this issue while using numpy version 2.0. \r\n\r\nI solved it by switching back to numpy 1.26.0 :) ",
"We recently added support for numpy 2.0, but it is not released yet.",
"Ok I see, thanks! I think we can close this issue for now as switching back to v... | 2024-07-15T11:21:04Z | 2024-07-16T10:11:25Z | 2024-07-16T10:11:25Z | NONE | null | null | ### Describe the bug
I can't apply the filter method on my dataset.
### Steps to reproduce the bug
The following snippet generates a bug:
```python
from datasets import load_dataset
ami = load_dataset('kamilakesbi/ami', 'ihm')
ami['train'].filter(
lambda example: example["file_name"] == 'EN2001a'
... | {
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https://github.com/huggingface/datasets/issues/7047 | 7,047 | Save Dataset as Sharded Parquet | {
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"To anyone else who finds themselves in this predicament, it's possible to read the parquet file in the same way that datasets writes it, and then manually break it into pieces. Although, you need a couple of magic options (`thrift_*`) to deal with the huge metadata, otherwise pyarrow immediately crashes.\r\n```pyt... | 2024-07-12T23:47:51Z | 2025-10-01T15:12:30Z | null | NONE | 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://github.com/huggingface/datasets/pull/7046 | 7,046 | Support librosa and numpy 2.0 for Python 3.10 | {
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- https://github.com/dofuuz/python-soxr/releases/tag/v0.4.0b1
- https://github.com/dofuuz/python-soxr/issues/28 | {
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https://github.com/huggingface/datasets/pull/7045 | 7,045 | Fix tensorflow min version depending on Python version | {
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Related to:
- #6991 | {
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https://github.com/huggingface/datasets/pull/7044 | 7,044 | Mark tests that require librosa | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7044). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-12T08:06:59Z | 2024-07-12T09:06:32Z | 2024-07-12T09:00:09Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Mark tests that require `librosa`.
Note that `librosa` is an optional dependency (installed with `audio` option) and we should be able to test environments without that library installed. This is the case if we want to test Numpy 2.0, which is currently incompatible with `librosa` due to its dependency on `soxr`:
-... | {
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https://github.com/huggingface/datasets/pull/7043 | 7,043 | Add decorator as explicit test dependency | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-12T07:35:23Z | 2024-07-12T08:12:55Z | 2024-07-12T08:07:10Z | MEMBER | false | {
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We use `decorator` library in our CI test since PR:
- #4845
However we did not add it as an explicit test requirement, and we depended on it indirectly through other libraries' dependencies.
I discovered this while testing Numpy 2.0 and removing incompatible librarie... | {
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https://github.com/huggingface/datasets/pull/7042 | 7,042 | Improved the tutorial by adding a link for loading datasets | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2024-07-12T03:49:54Z | 2024-08-15T10:07:44Z | 2024-08-15T10:01:59Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/7041 | 7,041 | `sort` after `filter` unreasonably slow | {
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"`filter` add an indices mapping on top of the dataset, so `sort` has to gather all the rows that are kept to form a new Arrow table and sort the table. Gathering all the rows can take some time, but is a necessary step. You can try calling `ds = ds.flatten_indices()` before sorting to remove the indices mapping.",... | 2024-07-12T03:29:27Z | 2025-04-29T09:49:25Z | 2025-04-29T09:49:25Z | NONE | null | null | ### Describe the bug
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... | {
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https://github.com/huggingface/datasets/issues/7040 | 7,040 | load `streaming=True` dataset with downloaded cache | {
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"When you pass `streaming=True`, the cache is ignored. The remote data URL is used instead and the data is streamed from the remote server.",
"Thanks for your reply! So is there any solution to get my expected behavior besides clone the whole repo ? Or could I adjust my script to load the downloaded arrow files a... | 2024-07-11T11:14:13Z | 2024-07-11T14:11:56Z | null | NONE | 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://github.com/huggingface/datasets/pull/7039 | 7,039 | Fix export to JSON when dataset larger than batch size | {
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"The test before confirms the bug.\r\n\r\nThere are different possible solutions to this... | 2024-07-11T06:52:22Z | 2024-09-28T06:10:00Z | null | MEMBER | true | {
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} | Fix export to JSON (`lines=False`) when dataset larger than batch size.
Fix #7037. | null | {
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https://github.com/huggingface/datasets/issues/7037 | 7,037 | A bug of Dataset.to_json() function | {
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"Thanks for reporting, @LinglingGreat.\r\n\r\nI confirm this is a bug.",
"@albertvillanova I would like to take a shot at this if you aren't working on it currently. Let me know!"
] | 2024-07-10T09:11:22Z | 2024-09-22T13:16:07Z | null | NONE | null | null | ### Describe the bug
When using the Dataset.to_json() function, an unexpected error occurs if the parameter is set to lines=False. The stored data should be in the form of a list, but it actually turns into multiple lists, which causes an error when reading the data again.
The reason is that to_json() writes to the f... | null | {
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https://github.com/huggingface/datasets/pull/7036 | 7,036 | Fix doc generation when NamedSplit is used as parameter default value | {
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Fix #7035. | {
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https://github.com/huggingface/datasets/issues/7035 | 7,035 | Docs are not generated when a parameter defaults to a NamedSplit value | {
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```python
def call_function(split=Split.TRAIN):
...
```
The error is: ValueError: Equality not supported between split train and <class 'inspect._empty'>
See: https://github.com/huggingface/datasets/action... | {
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https://github.com/huggingface/datasets/pull/7034 | 7,034 | chore: fix typos in docs | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2024-07-09T08:35:05Z | 2024-08-13T08:22:25Z | 2024-08-13T08:16:22Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/7033 | 7,033 | `from_generator` does not allow to specify the split name | {
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"Thanks for reporting, @pminervini.\r\n\r\nI agree we should give the option to define the split name.\r\n\r\nIndeed, there is a PR that addresses precisely this issue:\r\n- #7015\r\n\r\nI am reviewing it.",
"Booom! thank you guys :)"
] | 2024-07-09T07:47:58Z | 2024-07-26T12:56:16Z | 2024-07-26T09:31:56Z | CONTRIBUTOR | null | null | ### Describe the bug
I'm building train, dev, and test using `from_generator`; however, in all three cases, the logger prints `Generating train split:`
It's not possible to change the split name since it seems to be hardcoded: https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/generator/g... | {
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https://github.com/huggingface/datasets/pull/7032 | 7,032 | Register `.zstd` extension for zstd-compressed files | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7032). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@albertvillanova hm I don't know tbh, it's just that \"mlfoundations/dclm-baseline-1.0\... | 2024-07-08T12:39:50Z | 2024-07-12T15:07:03Z | 2024-07-12T15:07:03Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/7031 | 7,031 | CI quality is broken: use ruff check instead | {
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```
error: `ruff <path>` has been removed. Use `ruff check <path>` instead.
``` | {
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https://github.com/huggingface/datasets/issues/7030 | 7,030 | Add option to disable progress bar when reading a dataset ("Loading dataset from disk") | {
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"You can disable progress bars for all of `datasets` with `disable_progress_bars`. [Link](https://huggingface.co/docs/datasets/en/package_reference/utilities#datasets.enable_progress_bars)\r\n\r\nSo you could do something like:\r\n\r\n```python\r\nfrom datasets import load_from_disk, enable_progress_bars, disable_p... | 2024-07-06T05:43:37Z | 2024-07-13T14:35:59Z | 2024-07-13T14:35:59Z | NONE | null | null | ### Feature request
Add an option in load_from_disk to disable the progress bar even if the number of files is larger than 16.
### Motivation
I am reading a lot of datasets that it creates lots of logs.
<img width="1432" alt="image" src="https://github.com/huggingface/datasets/assets/57996478/8d4bbf03-6b89-... | {
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https://github.com/huggingface/datasets/issues/7029 | 7,029 | load_dataset on AWS lambda throws OSError(30, 'Read-only file system') error | {
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"hi ! can you share the full stack trace ? this should help locate what files is not written in the cache_dir"
] | 2024-07-04T19:15:16Z | 2024-07-17T12:44:03Z | null | NONE | null | null | ### Describe the bug
I'm using AWS lambda to run a python application. I run the `load_dataset` function with cache_dir="/tmp" and is still throws the OSError(30, 'Read-only file system') error. Is even updated all the HF envs to point to /tmp dir but the issue still persists. I can confirm that the I can write to /... | null | {
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https://github.com/huggingface/datasets/pull/7028 | 7,028 | Fix ci | {
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https://github.com/huggingface/datasets/pull/7027 | 7,027 | Missing line from previous pr | {
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https://github.com/huggingface/datasets/pull/7026 | 7,026 | Fix check_library_imports | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | move it to after the `trust_remote_code` check
Note that it only affects local datasets that already exist on disk, not datasets loaded from HF directly | {
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https://github.com/huggingface/datasets/pull/7025 | 7,025 | feat: support non streamable arrow file binary format | {
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https://github.com/huggingface/datasets/issues/7024 | 7,024 | Streaming dataset not returning data | {
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I'm deciding to post here because I'm still not sure what the issue is, or if I am using IterableDatasets wrongly.
I'm following the guide on here https://huggingface.co/learn/cookbook/en/fine_tuning_code_llm_on_single_gpu pretty much to a tee and have verified that it works when I'm fine-tuning ... | null | {
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https://github.com/huggingface/datasets/pull/7023 | 7,023 | Remove dead code for pyarrow < 15.0.0 | {
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Code is dead since the merge of:
- #6892
Fix #7022. | {
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https://github.com/huggingface/datasets/issues/7022 | 7,022 | There is dead code after we require pyarrow >= 15.0.0 | {
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However, we require pyarrow >= 15.0.0 since the merge of PR:
- #6892
Those code lines are now dead code and should be removed. | {
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https://github.com/huggingface/datasets/pull/7021 | 7,021 | Fix casting list array to fixed size list | {
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This bug was introduced in [datasets-2.17.0](https://github.com/huggingface/datasets/releases/tag/2.17.0) by PR: https://github.com/huggingface/datasets/pull/6283/files#diff-1cb2b66aa9311d729cfd83013dad56cf5afcda35b39dfd0bfe9c3813a049eab0R1899
- #6283
Fix #7020. | {
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https://github.com/huggingface/datasets/issues/7020 | 7,020 | Casting list array to fixed size list raises error | {
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] | closed | false | [] | 2024-07-03T07:54:49Z | 2024-07-03T08:41:56Z | 2024-07-03T08:41:56Z | MEMBER | null | null | When trying to cast a list array to fixed size list, an AttributeError is raised:
> AttributeError: 'pyarrow.lib.FixedSizeListType' object has no attribute 'length'
Steps to reproduce the bug:
```python
import pyarrow as pa
from datasets.table import array_cast
arr = pa.array([[0, 1]])
array_cast(arr, pa.lis... | {
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https://github.com/huggingface/datasets/pull/7019 | 7,019 | Support pyarrow large_list | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7019). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@albertvillanova really happy to see this fix.\r\n\r\nHave you attempted to save a data... | 2024-07-02T09:52:52Z | 2024-08-12T14:49:45Z | 2024-08-12T14:43:45Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Allow Polars round trip by supporting pyarrow large list.
Fix #6834, fix #6984.
Supersede and close #4800, close #6835, close #6986. | {
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https://github.com/huggingface/datasets/issues/7018 | 7,018 | `load_dataset` fails to load dataset saved by `save_to_disk` | {
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"In my case the error was:\r\n```\r\nValueError: You are trying to load a dataset that was saved using `save_to_disk`. Please use `load_from_disk` instead.\r\n```\r\nDid you try `load_from_disk`?",
"More generally, any reason there is no API consistency between save_to_disk and push_to_hub ? \r\n\r\nWould be nice... | 2024-07-01T12:19:19Z | 2025-05-24T05:21:12Z | null | NONE | null | null | ### Describe the bug
This code fails to load the dataset it just saved:
```python
from datasets import load_dataset
from transformers import AutoTokenizer
MODEL = "google-bert/bert-base-cased"
tokenizer = AutoTokenizer.from_pretrained(MODEL)
dataset = load_dataset("yelp_review_full")
def tokenize_functi... | null | {
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https://github.com/huggingface/datasets/pull/7017 | 7,017 | Support fsspec 2024.6.1 | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-01T11:57:15Z | 2024-07-01T12:12:32Z | 2024-07-01T12:06:24Z | MEMBER | false | {
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