url string | repository_url string | labels_url string | comments_url string | events_url string | html_url string | id int64 | node_id string | number int64 | title string | user dict | labels list | state string | locked bool | assignee dict | assignees list | milestone dict | comments sequence | created_at timestamp[ns, tz=UTC] | updated_at timestamp[ns, tz=UTC] | closed_at timestamp[ns, tz=UTC] | author_association string | type float64 | active_lock_reason float64 | sub_issues_summary dict | body string | closed_by dict | reactions dict | timeline_url string | performed_via_github_app float64 | state_reason string | draft float64 | pull_request dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/datasets/issues/7537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7537/comments | https://api.github.com/repos/huggingface/datasets/issues/7537/events | https://github.com/huggingface/datasets/issues/7537 | 3,018,792,966 | I_kwDODunzps6z7yAG | 7,537 | `datasets.map(..., num_proc=4)` multi-processing fails | {
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} | The following code fails in python 3.11+
```python
tokenized_datasets = datasets.map(tokenize_function, batched=True, num_proc=4, remove_columns=["text"])
```
Error log:
```bash
Traceback (most recent call last):
File "/usr/local/lib/python3.12/dist-packages/multiprocess/process.py", line 315, in _bootstrap
self.ru... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7536/comments | https://api.github.com/repos/huggingface/datasets/issues/7536/events | https://github.com/huggingface/datasets/issues/7536 | 3,018,425,549 | I_kwDODunzps6z6YTN | 7,536 | [Errno 13] Permission denied: on `.incomplete` file | {
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"It must be an issue with umask being used by multiple threads indeed. Maybe we can try to make a thread safe function to apply the umask (using filelock for example)"
] | 2025-04-24T20:52:45 | 2025-04-26T12:40:25 | null | NONE | null | null | {
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} | ### Describe the bug
When downloading a dataset, we frequently hit the below Permission Denied error. This looks to happen (at least) across datasets in from HF, S3, and GCS.
It looks like the `temp_file` being passed [here](https://github.com/huggingface/datasets/blob/main/src/datasets/utils/file_utils.py#L412) can ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7535/comments | https://api.github.com/repos/huggingface/datasets/issues/7535/events | https://github.com/huggingface/datasets/pull/7535 | 3,018,289,872 | PR_kwDODunzps6T0lm3 | 7,535 | Change dill version in requirements | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7535). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-04-24T19:44:28 | 2025-04-25T09:31:44 | null | NONE | null | null | null | Change dill version to >=0.3.9,<0.4.5 and check for errors | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7534/comments | https://api.github.com/repos/huggingface/datasets/issues/7534/events | https://github.com/huggingface/datasets/issues/7534 | 3,017,259,407 | I_kwDODunzps6z17mP | 7,534 | TensorFlow RaggedTensor Support (batch-level) | {
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} | ### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there's a error thrown saying that "Nested Data is ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7533/comments | https://api.github.com/repos/huggingface/datasets/issues/7533/events | https://github.com/huggingface/datasets/pull/7533 | 3,015,075,086 | PR_kwDODunzps6TpraJ | 7,533 | Add custom fingerprint support to `from_generator` | {
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"This is great !\r\n\r\nWhat do you think of passing `config_id=` directly to the builder instead of just the suffix ? This would be a power user argument though, or for internal use. And in from_generator the new argument can be `fingerprint=` as in `Dataset.__init__()`\r\n\r\nThe `config_id` can be defined using ... | 2025-04-23T19:31:35 | 2025-04-24T10:22:53 | null | NONE | null | null | null | This PR adds `dataset_id_suffix` parameter to 'Dataset.from_generator' function.
`Dataset.from_generator` function passes all of its arguments to `BuilderConfig.create_config_id`, including generator function itself. `BuilderConfig.create_config_id` function tries to hash all the args, which can take a large amount ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7532/comments | https://api.github.com/repos/huggingface/datasets/issues/7532/events | https://github.com/huggingface/datasets/pull/7532 | 3,009,546,204 | PR_kwDODunzps6TW8Ss | 7,532 | Document the HF_DATASETS_CACHE environment variable in the datasets cache documentation | {
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... | [] | open | false | null | [] | null | [] | 2025-04-22T00:23:13 | 2025-04-22T00:23:13 | null | NONE | null | null | null |
This pull request updates the Datasets documentation to include the `HF_DATASETS_CACHE` environment variable. While the current documentation only mentions `HF_HOME` for overriding the default cache directory, `HF_DATASETS_CACHE` is also a supported and useful option for specifying a custom cache location for dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7531 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7531/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7531/comments | https://api.github.com/repos/huggingface/datasets/issues/7531/events | https://github.com/huggingface/datasets/issues/7531 | 3,008,914,887 | I_kwDODunzps6zWGXH | 7,531 | Deepspeed reward training hangs at end of training with Dataset.from_list | {
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} | There seems to be a weird interaction between Deepspeed, the Dataset.from_list method and trl's RewardTrainer. On a multi-GPU setup (10 A100s), training always hangs at the very end of training until it times out. The training itself works fine until the end of training and running the same script with Deepspeed on a s... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7530 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7530/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7530/comments | https://api.github.com/repos/huggingface/datasets/issues/7530/events | https://github.com/huggingface/datasets/issues/7530 | 3,007,452,499 | I_kwDODunzps6zQhVT | 7,530 | How to solve "Spaces stuck in Building" problems | {
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"I'm facing the same issue—Space stuck in \"Building\" even after restart and Factory rebuild. Any fix?\n",
"> I'm facing the same issue—Space stuck in \"Building\" even after restart and Factory rebuild. Any fix?\n\nAlso see https://github.com/huggingface/huggingface_hub/issues/3019",
"I'm facing the same issu... | 2025-04-21T03:08:38 | 2025-04-22T07:49:52 | 2025-04-22T07:49:52 | NONE | null | null | {
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} | ### Describe the bug
Public spaces may stuck in Building after restarting, error log as follows:
build error
Unexpected job error
ERROR: failed to push spaces-registry.huggingface.tech/spaces/*:cpu-*-*: unexpected status from HEAD request to https://spaces-registry.huggingface.tech/v2/spaces/*/manifests/cpu-*-*: 401... | {
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https://api.github.com/repos/huggingface/datasets/issues/7529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7529/comments | https://api.github.com/repos/huggingface/datasets/issues/7529/events | https://github.com/huggingface/datasets/issues/7529 | 3,007,118,969 | I_kwDODunzps6zPP55 | 7,529 | audio folder builder cannot detect custom split name | {
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} | ### Describe the bug
when using audio folder builder (`load_dataset("audiofolder", data_dir="/path/to/folder")`), it cannot detect custom split name other than train/validation/test
### Steps to reproduce the bug
i have the following folder structure
```
my_dataset/
├── train/
│ ├── lorem.wav
│ ├── …
│ └── met... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7528 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7528/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7528/comments | https://api.github.com/repos/huggingface/datasets/issues/7528/events | https://github.com/huggingface/datasets/issues/7528 | 3,006,433,485 | I_kwDODunzps6zMojN | 7,528 | Data Studio Error: Convert JSONL incorrectly | {
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} | ### Describe the bug
Hi there,
I uploaded a dataset here https://huggingface.co/datasets/V-STaR-Bench/V-STaR, but I found that Data Studio incorrectly convert the "bboxes" value for the whole dataset. Therefore, anyone who downloaded the dataset via the API would get the wrong "bboxes" value in the data file.
Could ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7527 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7527/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7527/comments | https://api.github.com/repos/huggingface/datasets/issues/7527/events | https://github.com/huggingface/datasets/issues/7527 | 3,005,242,422 | I_kwDODunzps6zIFw2 | 7,527 | Auto-merge option for `convert-to-parquet` | {
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"Alternatively, there could be an option to switch from submitting PRs to just committing changes directly to `main`."
] | 2025-04-18T16:03:22 | 2025-04-18T16:05:30 | null | NONE | null | null | {
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} | ### Feature request
Add a command-line option, e.g. `--auto-merge-pull-request` that enables automatic merging of the commits created by the `convert-to-parquet` tool.
### Motivation
Large datasets may result in dozens of PRs due to the splitting mechanism. Each of these has to be manually accepted via the website.
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https://api.github.com/repos/huggingface/datasets/issues/7526 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7526/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7526/comments | https://api.github.com/repos/huggingface/datasets/issues/7526/events | https://github.com/huggingface/datasets/issues/7526 | 3,005,107,536 | I_kwDODunzps6zHk1Q | 7,526 | [WIP] Faster downloads/uploads with Xet storage | {
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Over the past few weeks, Hugging Face’s [Xet Team](https://huggingface.co/xet-team) took a major step forward by [migrating the first Model and Dataset repositories off LFS and to Xet storage](https://huggingface.co/posts/jsulz/9... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7525/comments | https://api.github.com/repos/huggingface/datasets/issues/7525/events | https://github.com/huggingface/datasets/pull/7525 | 3,003,032,248 | PR_kwDODunzps6TBOH1 | 7,525 | Fix indexing in split commit messages | {
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"gists_url": "https:... | [] | open | false | null | [] | null | [] | 2025-04-17T17:06:26 | 2025-04-18T15:14:01 | null | NONE | null | null | null | When a large commit is split up, it seems the commit index in the message is zero-based while the total number is one-based. I came across this running `convert-to-parquet` and was wondering why there was no `6-of-6` commit. This PR fixes that by adding one to the commit index, so both are one-based.
Current behavio... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7524/comments | https://api.github.com/repos/huggingface/datasets/issues/7524/events | https://github.com/huggingface/datasets/pull/7524 | 3,002,067,826 | PR_kwDODunzps6S99KB | 7,524 | correct use with polars example | {
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https://api.github.com/repos/huggingface/datasets/issues/7523 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7523/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7523/comments | https://api.github.com/repos/huggingface/datasets/issues/7523/events | https://github.com/huggingface/datasets/pull/7523 | 2,999,616,692 | PR_kwDODunzps6S1r8w | 7,523 | mention av in video docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7523). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-04-16T13:11:12 | 2025-04-16T13:13:45 | 2025-04-16T13:11:42 | MEMBER | null | null | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7522/comments | https://api.github.com/repos/huggingface/datasets/issues/7522/events | https://github.com/huggingface/datasets/pull/7522 | 2,998,169,017 | PR_kwDODunzps6SwwXW | 7,522 | Preserve formatting in concatenated IterableDataset | {
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... | [] | open | false | null | [] | null | [] | 2025-04-16T02:37:33 | 2025-04-16T02:37:33 | null | NONE | null | null | null | Fixes #7515 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7521 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7521/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7521/comments | https://api.github.com/repos/huggingface/datasets/issues/7521/events | https://github.com/huggingface/datasets/pull/7521 | 2,997,666,366 | PR_kwDODunzps6SvEZp | 7,521 | fix: Image Feature in Datasets Library Fails to Handle bytearray Objects from Spark DataFrames (#7517) | {
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"@lhoestq let me know if you prefer to change the spark iterator so it outputs `bytes`"
] | 2025-04-15T21:23:58 | 2025-04-16T06:57:22 | null | NONE | null | null | null | ## Task
Support bytes-like objects (bytes and bytearray) in Features classes
### Description
The `Features` classes only accept `bytes` objects for binary data, but not `bytearray`. This leads to errors when using `IterableDataset.from_spark()` with Spark DataFrames as they contain `bytearray` objects, even though... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7520 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7520/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7520/comments | https://api.github.com/repos/huggingface/datasets/issues/7520/events | https://github.com/huggingface/datasets/issues/7520 | 2,997,422,044 | I_kwDODunzps6yqQfc | 7,520 | Update items in the dataset without `map` | {
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"Hello!\n\nHave you looked at `Dataset.shard`? [Docs](https://huggingface.co/docs/datasets/en/process#shard)\n\nUsing this method you could break your dataset in N shards. Apply `map` on each shard and concatenate them back."
] | 2025-04-15T19:39:01 | 2025-04-19T18:47:46 | null | NONE | null | null | {
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} | ### Feature request
I would like to be able to update items in my dataset without affecting all rows. At least if there was a range option, I would be able to process those items, save the dataset, and then continue.
If I am supposed to split the dataset first, that is not clear, since the docs suggest that any of th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7519 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7519/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7519/comments | https://api.github.com/repos/huggingface/datasets/issues/7519/events | https://github.com/huggingface/datasets/pull/7519 | 2,996,458,961 | PR_kwDODunzps6Sq76Z | 7,519 | pdf docs fixes | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7519). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-04-15T13:35:56 | 2025-04-15T13:38:31 | 2025-04-15T13:36:03 | MEMBER | null | null | null | close https://github.com/huggingface/datasets/issues/7494 | {
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https://api.github.com/repos/huggingface/datasets/issues/7518 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7518/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7518/comments | https://api.github.com/repos/huggingface/datasets/issues/7518/events | https://github.com/huggingface/datasets/issues/7518 | 2,996,141,825 | I_kwDODunzps6ylX8B | 7,518 | num_proc parallelization works only for first ~10s. | {
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"Hi, can you check if the processes are still alive ? It's a bit weird because `datasets` does check if processes crash and return an error in that case",
"Thank you for reverting quickly. I digged a bit, and realized my disk's IOPS is also limited - which is causing this. will check further and report if it's an... | 2025-04-15T11:44:03 | 2025-04-15T13:12:13 | null | NONE | null | null | {
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} | ### Describe the bug
When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for most cores.
### Steps to reproduce the bug
```
// do... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7517 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7517/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7517/comments | https://api.github.com/repos/huggingface/datasets/issues/7517/events | https://github.com/huggingface/datasets/issues/7517 | 2,996,106,077 | I_kwDODunzps6ylPNd | 7,517 | Image Feature in Datasets Library Fails to Handle bytearray Objects from Spark DataFrames | {
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"Hi ! The `Image()` type accepts either\n- a `bytes` object containing the image bytes\n- a `str` object containing the image path\n- a `PIL.Image` object\n\nbut it doesn't support `bytearray`, maybe you can convert to `bytes` beforehand ?",
"Hi @lhoestq, \nconverting to bytes is certainly possible and would work... | 2025-04-15T11:29:17 | 2025-04-15T15:57:15 | null | NONE | null | null | {
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} | ### Describe the bug
When using `IterableDataset.from_spark()` with a Spark DataFrame containing image data, the `Image` feature class fails to properly process this data type, causing an `AttributeError: 'bytearray' object has no attribute 'get'`
### Steps to reproduce the bug
1. Create a Spark DataFrame with a col... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7516 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7516/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7516/comments | https://api.github.com/repos/huggingface/datasets/issues/7516/events | https://github.com/huggingface/datasets/issues/7516 | 2,995,780,283 | I_kwDODunzps6yj_q7 | 7,516 | unsloth/DeepSeek-R1-Distill-Qwen-32B server error | {
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} | ### Describe the bug
hfhubhttperror: 500 server error: internal server error for url: https://huggingface.co/api/models/unsloth/deepseek-r1-distill-qwen-32b-bnb-4bit/commits/main (request id: root=1-67fe23fa-3a2150eb444c2a823c388579;de3aed68-c397-4da5-94d4-6565efd3b919) internal error - we're working hard to fix this ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7515/comments | https://api.github.com/repos/huggingface/datasets/issues/7515/events | https://github.com/huggingface/datasets/issues/7515 | 2,995,082,418 | I_kwDODunzps6yhVSy | 7,515 | `concatenate_datasets` does not preserve Pytorch format for IterableDataset | {
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"Hi ! Oh indeed it would be cool to return the same format in that case. Would you like to submit a PR ? The function that does the concatenation is here:\n\nhttps://github.com/huggingface/datasets/blob/90e5bf8a8599b625d6103ee5ac83b98269991141/src/datasets/iterable_dataset.py#L3375-L3380",
"Thank you for the poin... | 2025-04-15T04:36:34 | 2025-04-16T02:39:16 | null | NONE | null | null | {
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} | ### Describe the bug
When concatenating datasets with `concatenate_datasets`, I would expect the resulting combined dataset to be in the same format as the inputs (assuming it's consistent). This is indeed the behavior when combining `Dataset`, but not when combining `IterableDataset`. Specifically, when applying `con... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7514/comments | https://api.github.com/repos/huggingface/datasets/issues/7514/events | https://github.com/huggingface/datasets/pull/7514 | 2,994,714,923 | PR_kwDODunzps6Sk7Et | 7,514 | Do not hash `generator` in `BuilderConfig.create_config_id` | {
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https://api.github.com/repos/huggingface/datasets/issues/7513 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7513/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7513/comments | https://api.github.com/repos/huggingface/datasets/issues/7513/events | https://github.com/huggingface/datasets/issues/7513 | 2,994,678,437 | I_kwDODunzps6yfyql | 7,513 | MemoryError while creating dataset from generator | {
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"Upd: created a PR that can probably solve the problem: #7514",
"Hi ! We need to take the generator into account for the cache. The generator is hashed to make the dataset fingerprint used by the cache. This way you can reload the Dataset from the cache without regenerating in subsequent `from_generator` calls.\n... | 2025-04-15T01:02:02 | 2025-04-23T19:37:08 | null | NONE | null | null | {
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} | ### Describe the bug
# TL:DR
`Dataset.from_generator` function passes all of its arguments to `BuilderConfig.create_config_id`, including `generator` function itself. `BuilderConfig.create_config_id` function tries to hash all the args, which can take a large amount of time or even cause MemoryError if the dataset pr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7512 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7512/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7512/comments | https://api.github.com/repos/huggingface/datasets/issues/7512/events | https://github.com/huggingface/datasets/issues/7512 | 2,994,043,544 | I_kwDODunzps6ydXqY | 7,512 | .map() fails if function uses pyvista | {
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"I found a similar (?) issue in https://github.com/huggingface/datasets/issues/6435, where someone had issues with forks and CUDA. According to https://huggingface.co/docs/datasets/main/en/process#multiprocessing we should do \n\n```\nfrom multiprocess import set_start_method\nset_start_method(\"spawn\")\n```\n\nto... | 2025-04-14T19:43:02 | 2025-04-14T20:01:53 | null | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Using PyVista inside a .map() produces a crash with `objc[78796]: +[NSResponder initialize] may have been in progress in another thread when fork() was called. We cannot safely call it or ignore it in the fork() child process. Crashing instead. Set a breakpoint on objc_initializeAfterForkError to ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7510/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7510/comments | https://api.github.com/repos/huggingface/datasets/issues/7510/events | https://github.com/huggingface/datasets/issues/7510 | 2,992,131,117 | I_kwDODunzps6yWEwt | 7,510 | Incompatibile dill version (0.3.9) in datasets 2.18.0 - 3.5.0 | {
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"Hi ! We can bump `dill` to 0.3.9 if we make sure it's deterministic and doesn't break the caching mechanism in `datasets`.\n\nWould you be interested in opening a PR ? Then we can run the CI to see if it works",
"Hi!. Yeah I can do it. Should I make any changes besides dill versions?",
"There are probably some... | 2025-04-14T07:22:44 | 2025-04-24T19:49:31 | null | NONE | null | null | {
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} | ### Describe the bug
Datasets 2.18.0 - 3.5.0 has a dependency on dill < 0.3.9. This causes errors with dill >= 0.3.9.
Could you please take a look into it and make it compatible?
### Steps to reproduce the bug
1. Install setuptools >= 2.18.0
2. Install dill >=0.3.9
3. Run pip check
4. Output:
ERROR: pip's dependenc... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7509/comments | https://api.github.com/repos/huggingface/datasets/issues/7509/events | https://github.com/huggingface/datasets/issues/7509 | 2,991,484,542 | I_kwDODunzps6yTm5- | 7,509 | Dataset uses excessive memory when loading files | {
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"small update: I converted the jsons to parquet and it now works well with 32 proc and the same node. \nI still think this needs to be understood, since json is a very popular and easy-to-use format. ",
"Hi ! The JSON loader loads full files in memory, unless they are JSON Lines. In this case it iterates on the J... | 2025-04-13T21:09:49 | 2025-04-26T15:33:13 | null | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Hi
I am having an issue when loading a dataset.
I have about 200 json files each about 1GB (total about 215GB). each row has a few features which are a list of ints.
I am trying to load the dataset using `load_dataset`.
The dataset is about 1.5M samples
I use `num_proc=32` and a node with 378GB of... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7508/comments | https://api.github.com/repos/huggingface/datasets/issues/7508/events | https://github.com/huggingface/datasets/issues/7508 | 2,986,612,934 | I_kwDODunzps6yBBjG | 7,508 | Iterating over Image feature columns is extremely slow | {
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"Hi ! Could it be because the `Image()` type in dataset does `image = Image.open(image_path)` and also `image.load()` which actually loads the image data in memory ? This is needed to avoid too many open files issues, see https://github.com/huggingface/datasets/issues/3985",
"Yes, that seems to be it. For my pur... | 2025-04-10T19:00:54 | 2025-04-15T17:57:08 | null | NONE | null | null | {
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} | We are trying to load datasets where the image column stores `PIL.PngImagePlugin.PngImageFile` images. However, iterating over these datasets is extremely slow.
What I have found:
1. It is the presence of the image column that causes the slowdown. Removing the column from the dataset results in blazingly fast (as expe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7507/comments | https://api.github.com/repos/huggingface/datasets/issues/7507/events | https://github.com/huggingface/datasets/issues/7507 | 2,984,309,806 | I_kwDODunzps6x4PQu | 7,507 | Front-end statistical data quantity deviation | {
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"Hi ! the format of this dataset is not supported by the Dataset Viewer. It looks like this dataset was saved using `save_to_disk()` which is meant for local storage / easy reload without compression, not for sharing online."
] | 2025-04-10T02:51:38 | 2025-04-15T12:54:51 | null | NONE | null | null | {
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} | ### Describe the bug
While browsing the dataset at https://huggingface.co/datasets/NeuML/wikipedia-20250123, I noticed that a dataset with nearly 7M entries was estimated to be only 4M in size—almost half the actual amount. According to the post-download loading and the dataset_info (https://huggingface.co/datasets/Ne... | null | {
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