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https://api.github.com/repos/huggingface/datasets/issues/7418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7418/comments | https://api.github.com/repos/huggingface/datasets/issues/7418/events | https://github.com/huggingface/datasets/issues/7418 | 2,868,701,471 | I_kwDODunzps6q_Okf | 7,418 | pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function | {
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} | ### Describe the bug
Encounter pyarrow.lib.arrowinvalid error with map function in some example when loading the dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
from PIL import Image, PngImagePlugin
dataset = load_dataset("leonardPKU/GEOQA_R1V_Train_8K")
system_prompt="You are a helpful... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7415/comments | https://api.github.com/repos/huggingface/datasets/issues/7415/events | https://github.com/huggingface/datasets/issues/7415 | 2,865,774,546 | I_kwDODunzps6q0D_S | 7,415 | Shard Dataset at specific indices | {
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} | I have a dataset of sequences, where each example in the sequence is a separate row in the dataset (similar to LeRobotDataset). When running `Dataset.save_to_disk` how can I provide indices where it's possible to shard the dataset such that no episode spans more than 1 shard. Consequently, when I run `Dataset.load_from... | null | {
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"Hi ! if it's an option I'd suggest to have one sequence per row instead.\n\nOtherwise you'd have to make your own save/load mechanism",
"Saving one sequence per row is very difficult and heavy and makes all the optimizations pointless. How would a custom save/load mechanism look like?"
] |
https://api.github.com/repos/huggingface/datasets/issues/7414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7414/comments | https://api.github.com/repos/huggingface/datasets/issues/7414/events | https://github.com/huggingface/datasets/pull/7414 | 2,863,798,756 | PR_kwDODunzps6LxjsH | 7,414 | Gracefully cancel async tasks | {
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https://api.github.com/repos/huggingface/datasets/issues/7413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7413/comments | https://api.github.com/repos/huggingface/datasets/issues/7413/events | https://github.com/huggingface/datasets/issues/7413 | 2,860,947,582 | I_kwDODunzps6qhph- | 7,413 | Documentation on multiple media files of the same type with WebDataset | {
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} | The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v... | null | {
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"Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx"
] |
https://api.github.com/repos/huggingface/datasets/issues/7412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7412/comments | https://api.github.com/repos/huggingface/datasets/issues/7412/events | https://github.com/huggingface/datasets/issues/7412 | 2,859,433,710 | I_kwDODunzps6qb37u | 7,412 | Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset | {
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} | ### Describe the bug
I am trying to do model pruning on sentence-transformers/all-mini-L6-v2 for the code-search-net/code_search_net dataset using INCTrainer class
However I am getting below error
```
raise IndexError(f"Invalid Key: {key is our of bounds for size {size}")
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https://api.github.com/repos/huggingface/datasets/issues/7411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7411/comments | https://api.github.com/repos/huggingface/datasets/issues/7411/events | https://github.com/huggingface/datasets/pull/7411 | 2,858,993,390 | PR_kwDODunzps6LhV0Z | 7,411 | Attempt to fix multiprocessing hang by closing and joining the pool before termination | {
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} | https://github.com/huggingface/datasets/issues/6393 has plagued me on and off for a very long time. I have had various workarounds (one time combining two filter calls into one filter call removed the issue, another time making rank 0 go first resolved a cache race condition, one time i think upgrading the version of s... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7411). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks for the fix! We have been affected by this a lot when we try to use LLM Foundry ... |
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https://api.github.com/repos/huggingface/datasets/issues/7408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7408/comments | https://api.github.com/repos/huggingface/datasets/issues/7408/events | https://github.com/huggingface/datasets/pull/7408 | 2,858,012,313 | PR_kwDODunzps6Ld_-m | 7,408 | Fix filter speed regression | {
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https://api.github.com/repos/huggingface/datasets/issues/7407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7407/comments | https://api.github.com/repos/huggingface/datasets/issues/7407/events | https://github.com/huggingface/datasets/pull/7407 | 2,856,517,442 | PR_kwDODunzps6LY7y5 | 7,407 | Update use_with_pandas.mdx: to_pandas() correction in last section | {
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https://api.github.com/repos/huggingface/datasets/issues/7406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7406/comments | https://api.github.com/repos/huggingface/datasets/issues/7406/events | https://github.com/huggingface/datasets/issues/7406 | 2,856,441,206 | I_kwDODunzps6qQdV2 | 7,406 | Adding Core Maintainer List to CONTRIBUTING.md | {
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} | ### Feature request
I propose adding a core maintainer list to the `CONTRIBUTING.md` file.
### Motivation
The Transformers and Liger-Kernel projects maintain lists of core maintainers for each module.
However, the Datasets project doesn't have such a list.
### Your contribution
I have nothing to add here. | null | {
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"@lhoestq",
"there is no per-module maintainer and the list is me alone nowadays ^^'",
"@lhoestq \nOh... I feel for you. \nWhat are your criteria for choosing a core maintainer? \nIt seems like it's too much work for you to manage all this code by yourself.\n\nAlso, if you don't mind, can you check this PR for ... |
https://api.github.com/repos/huggingface/datasets/issues/7405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7405/comments | https://api.github.com/repos/huggingface/datasets/issues/7405/events | https://github.com/huggingface/datasets/issues/7405 | 2,856,372,814 | I_kwDODunzps6qQMpO | 7,405 | Lazy loading of environment variables | {
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} | ### Describe the bug
Loading a `.env` file after an `import datasets` call does not correctly use the environment variables.
This is due the fact that environment variables are read at import time:
https://github.com/huggingface/datasets/blob/de062f0552a810c52077543c1169c38c1f0c53fc/src/datasets/config.py#L155C1-L15... | null | {
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"Many python packages out there, including `huggingface_hub`, do load the environment variables on import.\nYou should `load_dotenv()` before importing the libraries.\n\nFor example you can move all you imports inside your `main()` function"
] |
https://api.github.com/repos/huggingface/datasets/issues/7404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7404/comments | https://api.github.com/repos/huggingface/datasets/issues/7404/events | https://github.com/huggingface/datasets/issues/7404 | 2,856,366,207 | I_kwDODunzps6qQLB_ | 7,404 | Performance regression in `dataset.filter` | {
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} | ### Describe the bug
We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
```
Traceback (most recent call last):
Fi... | {
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"Thanks for reporting, I'll fix the regression today",
"I just released `datasets` 3.3.1 with a fix, let me know if it's good now :)",
"@lhoestq it fixed the issue.\n\nThis was (very) fast, thank you very much!"
] |
https://api.github.com/repos/huggingface/datasets/issues/7402 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7402/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7402/comments | https://api.github.com/repos/huggingface/datasets/issues/7402/events | https://github.com/huggingface/datasets/pull/7402 | 2,855,880,858 | PR_kwDODunzps6LW8G3 | 7,402 | Fix a typo in arrow_dataset.py | {
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https://api.github.com/repos/huggingface/datasets/issues/7401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7401/comments | https://api.github.com/repos/huggingface/datasets/issues/7401/events | https://github.com/huggingface/datasets/pull/7401 | 2,853,260,869 | PR_kwDODunzps6LOMSo | 7,401 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7399/comments | https://api.github.com/repos/huggingface/datasets/issues/7399/events | https://github.com/huggingface/datasets/issues/7399 | 2,853,098,442 | I_kwDODunzps6qDtPK | 7,399 | Synchronize parameters for various datasets | {
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} | ### Describe the bug
[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_refe... | null | {
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"Hi ! the `desc` parameter is only available for Dataset / DatasetDict for the progress bar of `map()``\n\nSince IterableDataset only runs the map functions when you iterate over the dataset, there is no progress bar and `desc` is useless. We could still add the argument for parity but it wouldn't be used for anyth... |
https://api.github.com/repos/huggingface/datasets/issues/7398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7398/comments | https://api.github.com/repos/huggingface/datasets/issues/7398/events | https://github.com/huggingface/datasets/pull/7398 | 2,853,097,869 | PR_kwDODunzps6LNoDk | 7,398 | Release: 3.3.0 | {
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] |
https://api.github.com/repos/huggingface/datasets/issues/7397 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7397/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7397/comments | https://api.github.com/repos/huggingface/datasets/issues/7397/events | https://github.com/huggingface/datasets/pull/7397 | 2,852,829,763 | PR_kwDODunzps6LMuQD | 7,397 | Kannada dataset(Conversations, Wikipedia etc) | {
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"Hi ! feel free to uplad the CSV on https://huggingface.co/datasets :)\r\n\r\nwe don't store the datasets' data in this github repository"
] |
https://api.github.com/repos/huggingface/datasets/issues/7400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7400/comments | https://api.github.com/repos/huggingface/datasets/issues/7400/events | https://github.com/huggingface/datasets/issues/7400 | 2,853,201,277 | I_kwDODunzps6qEGV9 | 7,400 | 504 Gateway Timeout when uploading large dataset to Hugging Face Hub | {
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"total": 0,
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} | ### Description
I encountered consistent 504 Gateway Timeout errors while attempting to upload a large dataset (approximately 500GB) to the Hugging Face Hub. The upload fails during the process with a Gateway Timeout error.
I will continue trying to upload. While it might succeed in future attempts, I wanted to report... | null | {
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"I transferred to the `datasets` repository. Is there any retry mechanism in `datasets` @lhoestq ?\n\nAnother solution @hotchpotch if you want to get your dataset pushed to the Hub in a robust way is to save it to a local folder first and then use `huggingface-cli upload-large-folder` (see https://huggingface.co/do... |
https://api.github.com/repos/huggingface/datasets/issues/7396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7396/comments | https://api.github.com/repos/huggingface/datasets/issues/7396/events | https://github.com/huggingface/datasets/pull/7396 | 2,851,716,755 | PR_kwDODunzps6LJBmT | 7,396 | Update README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/7395 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7395/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7395/comments | https://api.github.com/repos/huggingface/datasets/issues/7395/events | https://github.com/huggingface/datasets/pull/7395 | 2,851,575,160 | PR_kwDODunzps6LIivQ | 7,395 | Update docs | {
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} | - update min python version
- replace canonical dataset names with new names
- avoid examples with trust_remote_code | {
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https://api.github.com/repos/huggingface/datasets/issues/7394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7394/comments | https://api.github.com/repos/huggingface/datasets/issues/7394/events | https://github.com/huggingface/datasets/issues/7394 | 2,847,172,115 | I_kwDODunzps6ptGYT | 7,394 | Using load_dataset with data_files and split arguments yields an error | {
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} | ### Describe the bug
It seems the list of valid splits recorded by the package becomes incorrectly overwritten when using the `data_files` argument.
If I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
then I get the error
```
Va... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7393 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7393/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7393/comments | https://api.github.com/repos/huggingface/datasets/issues/7393/events | https://github.com/huggingface/datasets/pull/7393 | 2,846,446,674 | PR_kwDODunzps6K3DiZ | 7,393 | Optimized sequence encoding for scalars | {
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} | The change in https://github.com/huggingface/datasets/pull/3197 introduced redundant list-comprehensions when `obj` is a long sequence of scalars. This becomes a noticeable overhead when loading data from an `IterableDataset` in the function `_apply_feature_types_on_example` and can be eliminated by adding a check for ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7392/comments | https://api.github.com/repos/huggingface/datasets/issues/7392/events | https://github.com/huggingface/datasets/issues/7392 | 2,846,095,043 | I_kwDODunzps6po_bD | 7,392 | push_to_hub payload too large error when using large ClassLabel feature | {
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} | ### Describe the bug
When using `datasets.DatasetDict.push_to_hub` an `HfHubHTTPError: 413 Client Error: Payload Too Large for url` is raised if the dataset contains a large `ClassLabel` feature. Even if the total size of the dataset is small.
### Steps to reproduce the bug
``` python
import random
import sys
impor... | null | {
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"See also <https://discuss.huggingface.co/t/datasetdict-push-to-hub-failing-with-payload-to-large/140083/8>\n"
] |
https://api.github.com/repos/huggingface/datasets/issues/7391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7391/comments | https://api.github.com/repos/huggingface/datasets/issues/7391/events | https://github.com/huggingface/datasets/issues/7391 | 2,845,184,764 | I_kwDODunzps6plhL8 | 7,391 | AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType' | {
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https://api.github.com/repos/huggingface/datasets/issues/7390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7390/comments | https://api.github.com/repos/huggingface/datasets/issues/7390/events | https://github.com/huggingface/datasets/issues/7390 | 2,843,813,365 | I_kwDODunzps6pgSX1 | 7,390 | Re-add py.typed | {
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} | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | null | {
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} | @lhoestq wondering if the team has thought about this and if there are any recommendations?
Currently when processing datasets some examples are bound to get filtered out, whether it's due to bad format, or length is too long, or any other custom filters that might be getting applied. Let's just focus on the filter by... | {
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"You can actually track a running sum in map() or filter() :)\n\n```python\nnum_filtered = 0\n\ndef f(x):\n global num_filtered\n condition = len(x[\"text\"]) < 1000\n if not condition:\n num_filtered += 1\n return condition\n\nds = ds.filter(f)\nprint(num_filtered)\n```\n\nand if you want to use... |
https://api.github.com/repos/huggingface/datasets/issues/7388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7388/comments | https://api.github.com/repos/huggingface/datasets/issues/7388/events | https://github.com/huggingface/datasets/issues/7388 | 2,843,188,499 | I_kwDODunzps6pd50T | 7,388 | OSError: [Errno 22] Invalid argument forbidden character | {
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} | ### Describe the bug
I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charactere ?
### Steps to reproduce the bug
load_dataset("CAT... | {
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"You can probably copy the dataset in your HF account and rename the files (without having to download them to your disk). Or alternatively feel free to open a Pull Request to this dataset with the renamed file",
"Thank you, that will help me work around this problem"
] |
https://api.github.com/repos/huggingface/datasets/issues/7387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7387/comments | https://api.github.com/repos/huggingface/datasets/issues/7387/events | https://github.com/huggingface/datasets/issues/7387 | 2,841,228,048 | I_kwDODunzps6pWbMQ | 7,387 | Dynamic adjusting dataloader sampling weight | {
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} | Hi,
Thanks for your wonderful work! I'm wondering is there a way to dynamically adjust the sampling weight of each data in the dataset during training? Looking forward to your reply, thanks again. | null | {
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"You mean based on a condition that has to be checked on-the-fly during training ? Otherwise if you know in advance after how many samples you need to change the sampling you can simply concatenate the two mixes",
"Yes, like during training, if one data sample's prediction is consistently wrong, its sampling weig... |
https://api.github.com/repos/huggingface/datasets/issues/7386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7386/comments | https://api.github.com/repos/huggingface/datasets/issues/7386/events | https://github.com/huggingface/datasets/issues/7386 | 2,840,032,524 | I_kwDODunzps6pR3UM | 7,386 | Add bookfolder Dataset Builder for Digital Book Formats | {
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} | ### Feature request
This feature proposes adding a new dataset builder called bookfolder to the datasets library. This builder would allow users to easily load datasets consisting of various digital book formats, including: AZW, AZW3, CB7, CBR, CBT, CBZ, EPUB, MOBI, and PDF.
### Motivation
Currently, loading dataset... | {
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"On second thought, probably not a good idea."
] |
https://api.github.com/repos/huggingface/datasets/issues/7385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7385/comments | https://api.github.com/repos/huggingface/datasets/issues/7385/events | https://github.com/huggingface/datasets/pull/7385 | 2,830,664,522 | PR_kwDODunzps6KBO6i | 7,385 | Make IterableDataset (optionally) resumable | {
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} | ### What does this PR do?
This PR introduces a new `stateful` option to the `dataset.shuffle` method, which defaults to `False`.
When enabled, this option allows for resumable shuffling of `IterableDataset` instances, albeit with some additional memory overhead.
Key points:
* All tests have passed
* Docstrings ... | null | {
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"@lhoestq Hi again~ Just circling back on this\r\nWondering if there’s anything I can do to help move this forward. 🤗 \r\nThanks!"
] |
https://api.github.com/repos/huggingface/datasets/issues/7384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7384/comments | https://api.github.com/repos/huggingface/datasets/issues/7384/events | https://github.com/huggingface/datasets/pull/7384 | 2,828,208,828 | PR_kwDODunzps6J4wVi | 7,384 | Support async functions in map() | {
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} | e.g. to download images or call an inference API like HF or vLLM
```python
import asyncio
import random
from datasets import Dataset
async def f(x):
await asyncio.sleep(random.random())
ds = Dataset.from_dict({"data": range(100)})
ds.map(f)
# Map: 100%|█████████████████████████████| 100/100 [00:0... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7384). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"example of what you can do with it:\r\n\r\n```python\r\nimport aiohttp\r\nfrom huggingf... |
https://api.github.com/repos/huggingface/datasets/issues/7382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7382/comments | https://api.github.com/repos/huggingface/datasets/issues/7382/events | https://github.com/huggingface/datasets/pull/7382 | 2,823,480,924 | PR_kwDODunzps6Jo69f | 7,382 | Add Pandas, PyArrow and Polars docs | {
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https://api.github.com/repos/huggingface/datasets/issues/7381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7381/comments | https://api.github.com/repos/huggingface/datasets/issues/7381/events | https://github.com/huggingface/datasets/issues/7381 | 2,815,649,092 | I_kwDODunzps6n02VE | 7,381 | Iterating over values of a column in the IterableDataset | {
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} | ### Feature request
I would like to be able to iterate (and re-iterate if needed) over a column of an `IterableDataset` instance. The following example shows the supposed API:
```
def gen():
yield {"text": "Good", "label": 0}
yield {"text": "Bad", "label": 1}
ds = IterableDataset.from_generator(gen)
texts = d... | null | {
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"I'd be in favor of that ! I saw many people implementing their own iterables that wrap a dataset just to iterate on a single column, that would make things more practical.\n\nKinda related: https://github.com/huggingface/datasets/issues/5847",
"(For anyone's information, I'm going on vacation for the next 3 week... |
https://api.github.com/repos/huggingface/datasets/issues/7380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7380/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7380/comments | https://api.github.com/repos/huggingface/datasets/issues/7380/events | https://github.com/huggingface/datasets/pull/7380 | 2,811,566,116 | PR_kwDODunzps6JAkj5 | 7,380 | fix: dill default for version bigger 0.3.8 | {
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https://api.github.com/repos/huggingface/datasets/issues/7378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7378/comments | https://api.github.com/repos/huggingface/datasets/issues/7378/events | https://github.com/huggingface/datasets/issues/7378 | 2,802,957,388 | I_kwDODunzps6nEbxM | 7,378 | Allow pushing config version to hub | {
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} | ### Feature request
Currently, when datasets are created, they can be versioned by passing the `version` argument to `load_dataset(...)`. For example creating `outcomes.csv` on the command line
```
echo "id,value\n1,0\n2,0\n3,1\n4,1\n" > outcomes.csv
```
and creating it
```
import datasets
dataset = datasets.load_dat... | null | {
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"Hi ! This sounds reasonable to me, feel free to open a PR :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/7377 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7377/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7377/comments | https://api.github.com/repos/huggingface/datasets/issues/7377/events | https://github.com/huggingface/datasets/issues/7377 | 2,802,723,285 | I_kwDODunzps6nDinV | 7,377 | Support for sparse arrays with the Arrow Sparse Tensor format? | {
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} | ### Feature request
AI in biology is becoming a big thing. One thing that would be a huge benefit to the field that Huggingface Datasets doesn't currently have is native support for **sparse arrays**.
Arrow has support for sparse tensors.
https://arrow.apache.org/docs/format/Other.html#sparse-tensor
It would be ... | null | {
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"Hi ! Unfortunately the Sparse Tensor structure in Arrow is not part of the Arrow format (yes it's confusing...), so it's not possible to use it in `datasets`. It's a separate structure that doesn't correspond to any type or extension type in Arrow.\n\nThe Arrow community recently added an extension type for fixed ... |
https://api.github.com/repos/huggingface/datasets/issues/7376 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7376/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7376/comments | https://api.github.com/repos/huggingface/datasets/issues/7376/events | https://github.com/huggingface/datasets/pull/7376 | 2,802,621,104 | PR_kwDODunzps6IiO9j | 7,376 | [docs] uv install | {
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} | Proposes adding uv to installation docs (see Slack thread [here](https://huggingface.slack.com/archives/C01N44FJDHT/p1737377177709279) for more context) if you're interested! | null | {
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"total": 0,
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} | ### Describe the bug
### Steps to reproduce the bug
### Expected behavior
![Image](https://github.com/user-attachments/assets/77d32936-... | null | {
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"Make sure you have installed a recent version of `soundfile`"
] |
https://api.github.com/repos/huggingface/datasets/issues/7374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7374/comments | https://api.github.com/repos/huggingface/datasets/issues/7374/events | https://github.com/huggingface/datasets/pull/7374 | 2,793,442,320 | PR_kwDODunzps6IC66n | 7,374 | Remove .h5 from imagefolder extensions | {
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https://api.github.com/repos/huggingface/datasets/issues/7373 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7373/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7373/comments | https://api.github.com/repos/huggingface/datasets/issues/7373/events | https://github.com/huggingface/datasets/issues/7373 | 2,793,237,139 | I_kwDODunzps6mfWqT | 7,373 | Excessive RAM Usage After Dataset Concatenation concatenate_datasets | {
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"total": 0,
"completed": 0,
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} | ### Describe the bug
When loading a dataset from disk, concatenating it, and starting the training process, the RAM usage progressively increases until the kernel terminates the process due to excessive memory consumption.
https://github.com/huggingface/datasets/issues/2276
### Steps to reproduce the bug
```
rom da... | null | {
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"\n\n\n\nAdding a img from memray\nhttps://gist.github.com/sam-hey/00c958f13fb0f7b54d17197fe353002f"
] |
https://api.github.com/repos/huggingface/datasets/issues/7372 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7372/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7372/comments | https://api.github.com/repos/huggingface/datasets/issues/7372/events | https://github.com/huggingface/datasets/issues/7372 | 2,791,760,968 | I_kwDODunzps6mZuRI | 7,372 | Inconsistent Behavior Between `load_dataset` and `load_from_disk` When Loading Sharded Datasets | {
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} | ### Description
I encountered an inconsistency in behavior between `load_dataset` and `load_from_disk` when loading sharded datasets. Here is a minimal example to reproduce the issue:
#### Code 1: Using `load_dataset`
```python
from datasets import Dataset, load_dataset
# First save with max_shard_size=10
Dataset.fr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7371 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7371/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7371/comments | https://api.github.com/repos/huggingface/datasets/issues/7371/events | https://github.com/huggingface/datasets/issues/7371 | 2,790,549,889 | I_kwDODunzps6mVGmB | 7,371 | 500 Server error with pushing a dataset | {
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"total": 0,
"completed": 0,
"percent_completed": 0
} | ### Describe the bug
Suddenly, I started getting this error message saying it was an internal error.
`Error creating/pushing dataset: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/ll4ma-lab/grasp-dataset/commit/main (Request ID: Root=1-6787f0b7-66d5bd45413e481c4c2fb22d;670d04ff-... | null | {
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"EDIT: seems to be all good now. I'll add a comment if the error happens again within the next 48 hours. If it doesn't, I'll just close the topic."
] |
https://api.github.com/repos/huggingface/datasets/issues/7370 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7370/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7370/comments | https://api.github.com/repos/huggingface/datasets/issues/7370/events | https://github.com/huggingface/datasets/pull/7370 | 2,787,972,786 | PR_kwDODunzps6HwAu7 | 7,370 | Support faster processing using pandas or polars functions in `IterableDataset.map()` | {
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"total": 0,
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} | Following the polars integration :)
Allow super fast processing using pandas or polars functions in `IterableDataset.map()` by adding support to pandas and polars formatting in `IterableDataset`
```python
import polars as pl
from datasets import Dataset
ds = Dataset.from_dict({"i": range(10)}).to_iterable_da... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7370). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"merging this and will make some docs and communications around using polars for optimiz... |
https://api.github.com/repos/huggingface/datasets/issues/7369 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7369/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7369/comments | https://api.github.com/repos/huggingface/datasets/issues/7369/events | https://github.com/huggingface/datasets/issues/7369 | 2,787,193,238 | I_kwDODunzps6mITGW | 7,369 | Importing dataset gives unhelpful error message when filenames in metadata.csv are not found in the directory | {
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"total": 0,
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} | ### Describe the bug
While importing an audiofolder dataset, where the names of the audiofiles don't correspond to the filenames in the metadata.csv, we get an unclear error message that is not helpful for the debugging, i.e.
```
ValueError: Instruction "train" corresponds to no data!
```
### Steps to reproduce the ... | null | {
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"I'd prefer even more verbose errors; like `\"file123.mp3\" is referenced in metadata.csv, but not found in the data directory '/path/to/audiofolder' ! (and 100+ more missing files)` Or something along those lines."
] |
https://api.github.com/repos/huggingface/datasets/issues/7368 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7368/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7368/comments | https://api.github.com/repos/huggingface/datasets/issues/7368/events | https://github.com/huggingface/datasets/pull/7368 | 2,784,272,477 | PR_kwDODunzps6HjE97 | 7,368 | Add with_split to DatasetDict.map | {
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"Can you check this out, @lhoestq?",
"cc @lhoestq @albertvillanova ",
"@lhoestq\r\n",
"@lhoestq\r\n",
"@lhoestq"
] |
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