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https://api.github.com/repos/huggingface/datasets/issues/5877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5877/comments | https://api.github.com/repos/huggingface/datasets/issues/5877/events | https://github.com/huggingface/datasets/issues/5877 | 1,717,983,961 | I_kwDODunzps5mZlrZ | 5,877 | Request for text deduplication feature | {
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"The \"exact match\" deduplication will be possible when we resolve https://github.com/huggingface/datasets/issues/2514 (first, https://github.com/apache/arrow/issues/30950 needs to be addressed on the Arrow side). In the meantime, you can use Polars or DuckDB (e.g., via [datasets-sql](https://github.com/mariosasko... | 2023-05-20T01:56:00Z | 2024-01-25T14:40:09Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
It would be great if there would be support for high performance, highly scalable text deduplication algorithms as part of the datasets library.
### Motivation
Motivated by this blog post https://huggingface.co/blog/dedup and this library https://github.com/google-research/deduplicate-text-datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6470/comments | https://api.github.com/repos/huggingface/datasets/issues/6470/events | https://github.com/huggingface/datasets/issues/6470 | 2,024,724,319 | I_kwDODunzps54rtdf | 6,470 | If an image in a dataset is corrupted, we get unescapable error | {
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} | ### Describe the bug
Example discussed in detail here: https://huggingface.co/datasets/sasha/birdsnap/discussions/1
### Steps to reproduce the bug
```
from datasets import load_dataset, VerificationMode
dataset = load_dataset(
'sasha/birdsnap',
split="train",
verification_mode=VerificationMode.ALL_C... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5975 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5975/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5975/comments | https://api.github.com/repos/huggingface/datasets/issues/5975/events | https://github.com/huggingface/datasets/issues/5975 | 1,768,271,343 | I_kwDODunzps5pZa3v | 5,975 | Streaming Dataset behind Proxy - FileNotFoundError | {
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"Duplicate of #",
"Hi ! can you try to set the upper case environment variables `HTTP_PROXY` and `HTTPS_PROXY` ?\r\n\r\nWe use `aiohttp` for streaming and it uses case sensitive environment variables",
"Hi, thanks for the quick reply.\r\n\r\nI set the uppercase env variables with\r\n\r\n`\r\nos.environ['HTTP_PR... | 2023-06-21T19:10:02Z | 2023-06-30T05:55:39Z | 2023-06-30T05:55:38Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When trying to stream a dataset i get the following error after a few minutes of waiting.
```
FileNotFoundError: https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/data/n_files.json
If the repo is private or gated, make sure to log in with `huggingface-cli login`.
```
I hav... | {
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https://api.github.com/repos/huggingface/datasets/issues/6237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6237/comments | https://api.github.com/repos/huggingface/datasets/issues/6237/events | https://github.com/huggingface/datasets/issues/6237 | 1,893,822,321 | I_kwDODunzps5w4W9x | 6,237 | Tokenization with multiple workers is too slow | {
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"[This](https://huggingface.co/docs/datasets/nlp_process#map) is the most performant way to tokenize a dataset (`batched=True, num_proc=None, return_tensors=\"np\"`) \r\n\r\nIf`tokenizer.is_fast` returns `True`, `num_proc` must be `None/1` to benefit from the fast tokenizers' parallelism (the fast tokenizers are im... | 2023-09-13T06:18:34Z | 2023-09-19T21:54:58Z | 2023-09-19T21:54:58Z | null | NONE | [] | null | null | {
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} | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | {
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https://api.github.com/repos/huggingface/datasets/issues/5586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5586/comments | https://api.github.com/repos/huggingface/datasets/issues/5586/events | https://github.com/huggingface/datasets/issues/5586 | 1,602,961,544 | I_kwDODunzps5fi0CI | 5,586 | .sort() is broken when used after .filter(), only in 2.10.0 | {
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"Thanks for reporting and thanks @mariosasko for fixing ! We just did a patch release `2.10.1` with the fix"
] | 2023-02-28T12:18:09Z | 2023-02-28T18:17:26Z | 2023-02-28T17:21:59Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi, thank you for your support!
It seems like the addition of multiple key sort (#5502) in 2.10.0 broke the `.sort()` method.
After filtering a dataset with `.filter()`, the `.sort()` seems to refer to the query_table index of the previous unfiltered dataset, resulting in an IndexError.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5415/comments | https://api.github.com/repos/huggingface/datasets/issues/5415/events | https://github.com/huggingface/datasets/issues/5415 | 1,526,904,861 | I_kwDODunzps5bArgd | 5,415 | RuntimeError: Sharding is ambiguous for this dataset | {
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} | ### Describe the bug
When loading some datasets, a RuntimeError is raised.
For example, for "ami" dataset: https://huggingface.co/datasets/ami/discussions/3
```
.../huggingface/datasets/src/datasets/builder.py in _prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
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https://api.github.com/repos/huggingface/datasets/issues/7247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7247/comments | https://api.github.com/repos/huggingface/datasets/issues/7247/events | https://github.com/huggingface/datasets/issues/7247 | 2,606,230,029 | I_kwDODunzps6bV-oN | 7,247 | Adding column with dict struction when mapping lead to wrong order | {
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} | ### Describe the bug
in `map()` function, I want to add a new column with a dict structure.
```
def map_fn(example):
example['text'] = {'user': ..., 'assistant': ...}
return example
```
However this leads to a wrong order `{'assistant':..., 'user':...}` in the dataset.
Thus I can't concatenate two datasets ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3738/comments | https://api.github.com/repos/huggingface/datasets/issues/3738/events | https://github.com/huggingface/datasets/issues/3738 | 1,140,164,253 | I_kwDODunzps5D9Yad | 3,738 | For data-only datasets, streaming and non-streaming don't behave the same | {
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"Note that we might change the heuristic and create a different config per file, at least in that case.",
"Hi @severo, thanks for reporting.\r\n\r\nYes, this happens because when non-streaming, a cast of all data is done in order to \"concatenate\" it all into a single dataset (thus the error), while this casting... | 2022-02-16T15:20:57Z | 2022-02-21T14:24:55Z | null | null | COLLABORATOR | [] | null | null | {
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In streaming mode, the files are concatenated, and thus the rows might be dictionaries with different keys:
```python
import datasets as ds
iterable_dataset = ds.load_dataset("huggingface/transformers-metadat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3361 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3361/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3361/comments | https://api.github.com/repos/huggingface/datasets/issues/3361/events | https://github.com/huggingface/datasets/issues/3361 | 1,068,736,268 | I_kwDODunzps4_s58M | 3,361 | Jeopardy _URL access denied | {
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"Just a side note: duplicate #3264"
] | 2021-12-01T18:21:33Z | 2021-12-11T12:50:23Z | 2021-12-06T11:16:31Z | null | CONTRIBUTOR | [] | null | null | {
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http://skeeto.s3.amazonaws.com/share/JEOPARDY_QUESTIONS1.json.gz returns Access Denied now.
However, https://drive.google.com/file/d/0BwT5wj_P7BKXb2hfM3d2RHU1ckE/view?usp=sharing from the original Reddit post https://www.reddit.com/r/datasets/comments/1uyd0t/200000_jeopardy_questions_in_a_json_f... | {
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https://api.github.com/repos/huggingface/datasets/issues/4461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4461/comments | https://api.github.com/repos/huggingface/datasets/issues/4461/events | https://github.com/huggingface/datasets/issues/4461 | 1,264,800,451 | I_kwDODunzps5LY1LD | 4,461 | AttributeError: module 'datasets' has no attribute 'load_dataset' | {
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"I'm having the same issue,Can you tell me how to solve it?",
"I have the same issue, can you tell me how to solve it? Thanks",
"I had a folder named 'datasets' so this is why it can't find the import, it's looking in the wrong place",
"@briandw your comment saved my day 👍 "
] | 2022-06-08T13:59:20Z | 2024-03-25T12:58:29Z | 2022-06-08T14:41:00Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I have piped install datasets, but this package doesn't have these attributes: load_dataset, load_metric.
## Environment info
- `datasets` version: 1.9.0
- Platform: Linux-5.13.0-44-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.6.13
- PyArrow version: 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/5204 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5204/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5204/comments | https://api.github.com/repos/huggingface/datasets/issues/5204/events | https://github.com/huggingface/datasets/issues/5204 | 1,437,221,259 | I_kwDODunzps5VqkGL | 5,204 | `push_to_hub` not propagating `token` through `DownloadConfig` | {
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"#self-assign",
"@lhoestq can you close this issue as part of the recent #5205 merge? Thanks 🤗 ",
"Thank you :)"
] | 2022-11-05T23:32:20Z | 2022-11-08T10:12:09Z | 2022-11-08T10:12:08Z | {
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} | ### Describe the bug
When trying to upload a new 🤗 Dataset to the Hub via Python, and providing the `token` as a parameter to the `Dataset.push_to_hub` function, it just works for the first time, assuming that the dataset didn't exist before.
But when trying to run `Dataset.push_to_hub` again over the same dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5457/comments | https://api.github.com/repos/huggingface/datasets/issues/5457/events | https://github.com/huggingface/datasets/issues/5457 | 1,554,171,264 | I_kwDODunzps5cosWA | 5,457 | prebuilt dataset relies on `downloads/extracted` | {
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"Hi! \r\n\r\nThis issue is due to our audio/image datasets not being self-contained. This allows us to save disk space (files are written only once) but also leads to the issues like this one. We plan to make all our datasets self-contained in Datasets 3.0.\r\n\r\nIn the meantime, you can run the following map to e... | 2023-01-24T02:09:32Z | 2024-11-18T07:43:51Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
I pre-built the dataset:
```
python -c 'import sys; from datasets import load_dataset; ds=load_dataset(sys.argv[1])' HuggingFaceM4/general-pmd-synthetic-testing
```
and it can be used just fine.
now I wipe out `downloads/extracted` and it no longer works.
```
rm -r ~/.cache/huggingface... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4454 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4454/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4454/comments | https://api.github.com/repos/huggingface/datasets/issues/4454/events | https://github.com/huggingface/datasets/issues/4454 | 1,262,674,973 | I_kwDODunzps5LQuQd | 4,454 | Dataset Viewer issue for Yaxin/SemEval2015 | {
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"Closing since it's a duplicate of https://github.com/huggingface/datasets/issues/4453"
] | 2022-06-07T03:31:46Z | 2022-06-07T11:53:11Z | 2022-06-07T11:53:11Z | {
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_No response_
### Description
the link could not visit
### Owner
_No response_ | {
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https://api.github.com/repos/huggingface/datasets/issues/7538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7538/comments | https://api.github.com/repos/huggingface/datasets/issues/7538/events | https://github.com/huggingface/datasets/issues/7538 | 3,023,280,056 | I_kwDODunzps60M5e4 | 7,538 | `IterableDataset` drops samples when resuming from a checkpoint | {
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"Thanks for reporting ! I fixed the issue using RebatchedArrowExamplesIterable before the formatted iterable"
] | 2025-04-27T19:34:49Z | 2025-05-06T14:04:05Z | 2025-05-06T14:03:42Z | null | COLLABORATOR | [] | null | null | {
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In that case, the `FormattedExamplesIterable` fetches a batch of samples from the child iterable's `iter_arrow` and yields them one by one ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5651/comments | https://api.github.com/repos/huggingface/datasets/issues/5651/events | https://github.com/huggingface/datasets/issues/5651 | 1,631,967,509 | I_kwDODunzps5hRdkV | 5,651 | expanduser in save_to_disk | {
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"`save_to_disk` should indeed expand `~`. Marking it as a \"good first issue\".",
"#self-assign\r\n\r\nFile path to code: \r\n\r\nhttps://github.com/huggingface/datasets/blob/2.13.0/src/datasets/arrow_dataset.py#L1364\r\n\r\n@RmZeta2718 I created a pull request for this issue. ",
"Hello, \r\nIt says `save_to_di... | 2023-03-20T12:02:18Z | 2023-10-27T14:04:37Z | 2023-10-27T14:04:37Z | {
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} | ### Describe the bug
save_to_disk() does not expand `~`
1. `dataset = load_datasets("any dataset")`
2. `dataset.save_to_disk("~/data")`
3. a folder named "~" created in current folder
4. FileNotFoundError is raised, because the expanded path does not exist (`/home/<user>/data`)
related issue https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/1835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1835/comments | https://api.github.com/repos/huggingface/datasets/issues/1835/events | https://github.com/huggingface/datasets/issues/1835 | 803,524,790 | MDU6SXNzdWU4MDM1MjQ3OTA= | 1,835 | Add CHiME4 dataset | {
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"@patrickvonplaten not sure whether it is still needed, but willing to tackle this issue",
"Hey @patrickvonplaten, I have managed to download the zip on [here]( http://spandh.dcs.shef.ac.uk/chime_challenge/CHiME4/download.html) and successfully uploaded all the files on a hugging face dataset: \r\n\r\nhttps://hug... | 2021-02-08T12:36:38Z | 2025-01-26T16:18:59Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** Chime4
- **Description:** Chime4 is a dataset for automatic speech recognition. It is especially useful for evaluating models in a noisy environment and for multi-channel ASR
- **Paper:** Dataset comes from a channel: http://spandh.dcs.shef.ac.uk/chime_challenge/CHiME4/ . Results pape... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4961 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4961/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4961/comments | https://api.github.com/repos/huggingface/datasets/issues/4961/events | https://github.com/huggingface/datasets/issues/4961 | 1,368,124,033 | I_kwDODunzps5Ri-qB | 4,961 | fsspec 2022.8.2 breaks xopen in streaming mode | {
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"loading `fsspec==2022.7.1` fixes this issue, setup.py would need to be changed to prevent users from using the latest version of fsspec.",
"Opened [PR](https://github.com/huggingface/datasets/pull/4962) to address this.",
"Hi @DCNemesis, thanks for reporting.\r\n\r\nThat was a temporary issue in `fsspec` relea... | 2022-09-09T17:26:55Z | 2022-09-12T17:45:50Z | 2022-09-12T14:32:05Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
When fsspec 2022.8.2 is installed in your environment, xopen will prematurely close files, making streaming mode inoperable.
## Steps to reproduce the bug
```python
import datasets
data = datasets.load_dataset('MLCommons/ml_spoken_words', 'id_wav', split='train', streaming=True)
```
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https://api.github.com/repos/huggingface/datasets/issues/2765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2765/comments | https://api.github.com/repos/huggingface/datasets/issues/2765/events | https://github.com/huggingface/datasets/issues/2765 | 962,861,395 | MDU6SXNzdWU5NjI4NjEzOTU= | 2,765 | BERTScore Error | {
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"Hi,\r\n\r\nThe `use_fast_tokenizer` argument has been recently added to the bert-score lib. I've opened a PR with the fix. In the meantime, you can try to downgrade the version of bert-score with the following command to make the code work:\r\n```\r\npip uninstall bert-score\r\npip install \"bert-score<0.3.10\"\r\... | 2021-08-06T15:58:57Z | 2021-08-09T11:16:25Z | 2021-08-09T11:16:25Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
predictions = ["hello there", "general kenobi"]
references = ["hello there", "general kenobi"]
bert = load_metric('bertscore')
bert.compute(predictions=predictions, references=references,lang='en')
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https://api.github.com/repos/huggingface/datasets/issues/2914 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2914/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2914/comments | https://api.github.com/repos/huggingface/datasets/issues/2914/events | https://github.com/huggingface/datasets/issues/2914 | 996,770,168 | I_kwDODunzps47aYF4 | 2,914 | Having a dependency defining fsspec entrypoint raises an AttributeError when importing datasets | {
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"Closed by #2915."
] | 2021-09-15T07:54:06Z | 2021-09-15T16:49:17Z | 2021-09-15T16:49:16Z | null | CONTRIBUTOR | [] | null | null | {
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In one of my project, I defined a custom fsspec filesystem with an entrypoint.
My guess is that by doing so, a variable named `spec` is created in the module `fsspec` (created by entering a for loop as there are entrypoints defined, see the loop in question [here](https://github.com/intake/filesys... | {
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https://api.github.com/repos/huggingface/datasets/issues/3134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3134/comments | https://api.github.com/repos/huggingface/datasets/issues/3134/events | https://github.com/huggingface/datasets/issues/3134 | 1,033,251,755 | I_kwDODunzps49liur | 3,134 | Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.11.0/metrics/rouge/rouge.py | {
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"Hi,\r\n\r\nDid you try to run the code multiple times (GitHub URLs can be down sometimes for various reasons)? I can access `https://raw.githubusercontent.com/huggingface/datasets/1.11.0/metrics/rouge/rouge.py`, so this code is working without an error on my side. \r\n\r\nAdditionally, can you please run the `data... | 2021-10-22T07:07:52Z | 2023-09-14T01:19:45Z | 2022-01-19T14:02:31Z | null | NONE | [] | null | null | {
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`metric = datasets.load_metric('rouge')`
The error:
> ConnectionError Traceback (most recent call last)
> <ipython-input-3-dd10a0c5212f> in <module>
> ----> 1 metric = datasets.load_metric('rouge')
>
> /usr/local/lib/python3.6/dist-packages/datasets/load.... | {
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https://api.github.com/repos/huggingface/datasets/issues/6087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6087/comments | https://api.github.com/repos/huggingface/datasets/issues/6087/events | https://github.com/huggingface/datasets/issues/6087 | 1,825,133,741 | I_kwDODunzps5syVSt | 6,087 | fsspec dependency is set too low | {
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"Thanks for reporting! A PR with a fix has just been merged."
] | 2023-07-27T20:08:22Z | 2023-07-28T10:07:56Z | 2023-07-28T10:07:03Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
fsspec.callbacks.TqdmCallback (used in https://github.com/huggingface/datasets/blob/73bed12ecda17d1573fd3bf73ed5db24d3622f86/src/datasets/utils/file_utils.py#L338) was first released in fsspec [2022.3.0](https://github.com/fsspec/filesystem_spec/releases/tag/2022.3.0, commit where it was added: ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/5011 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5011/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5011/comments | https://api.github.com/repos/huggingface/datasets/issues/5011/events | https://github.com/huggingface/datasets/issues/5011 | 1,382,609,587 | I_kwDODunzps5SaPKz | 5,011 | Audio: `encode_example` fails with IndexError | {
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"Sorry bug on my part 😅 Closing "
] | 2022-09-22T15:07:27Z | 2022-09-23T09:05:18Z | 2022-09-23T09:05:18Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
Loading the dataset [earnings-22](https://huggingface.co/datasets/sanchit-gandhi/earnings22_split) from the Hub yields an Index Error. I created this dataset locally and then pushed to hub at the specified URL. Thus, I expect the dataset should work out-of-the-box! Indeed, the dataset viewer functi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6173 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6173/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6173/comments | https://api.github.com/repos/huggingface/datasets/issues/6173/events | https://github.com/huggingface/datasets/issues/6173 | 1,863,422,065 | I_kwDODunzps5vEZBx | 6,173 | Fix CI for pyarrow 13.0.0 | {
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```
FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different
Attribute "dtype" are different
[left]: datetime64[us, UTC]
[right]: datetime64[ns, UTC]
```
```
FAILED tests/test_table.py::test_cast_sliced_fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7543/comments | https://api.github.com/repos/huggingface/datasets/issues/7543/events | https://github.com/huggingface/datasets/issues/7543 | 3,026,867,706 | I_kwDODunzps60alX6 | 7,543 | The memory-disk mapping failure issue of the map function(resolved, but there are some suggestions.) | {
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} | ### Describe the bug
## bug
When the map function processes a large dataset, it temporarily stores the data in a cache file on the disk. After the data is stored, the memory occupied by it is released. Therefore, when using the map function to process a large-scale dataset, only a dataset space of the size of `writer_... | {
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https://api.github.com/repos/huggingface/datasets/issues/304 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/304/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/304/comments | https://api.github.com/repos/huggingface/datasets/issues/304/events | https://github.com/huggingface/datasets/issues/304 | 644,091,970 | MDU6SXNzdWU2NDQwOTE5NzA= | 304 | Problem while printing doc string when instantiating multiple metrics. | {
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] | closed | false | [] | null | [] | 2020-06-23T19:32:05Z | 2020-07-22T09:50:58Z | 2020-07-22T09:50:58Z | null | CONTRIBUTOR | [] | null | null | {
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} | When I load more than one metric and try to print doc string of a particular metric,. It shows the doc strings of all imported metric one after the other which looks quite confusing and clumsy.
Attached [Colab](https://colab.research.google.com/drive/13H0ZgyQ2se0mqJ2yyew0bNEgJuHaJ8H3?usp=sharing) Notebook for problem ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3883 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3883/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3883/comments | https://api.github.com/repos/huggingface/datasets/issues/3883/events | https://github.com/huggingface/datasets/issues/3883 | 1,164,663,229 | I_kwDODunzps5Fa1m9 | 3,883 | The metric Meteor doesn't work for nltk ==3.6.4 | {
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"Hi @zhaowei-wang98, thanks for reporting.\r\n\r\nWe are fixing it... "
] | 2022-03-10T02:28:27Z | 2022-03-10T09:03:39Z | 2022-03-10T09:03:39Z | {
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} | ## Describe the bug
Using the metric Meteor with nltk == 3.6.4 gives a TypeError:
TypeError: descriptor 'lower' for 'str' objects doesn't apply to a 'list' object
## Steps to reproduce the bug
```python
import datasets
metric = datasets.load_metric("meteor")
predictions = ["hello world"]
references = ["hello ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4107 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4107/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4107/comments | https://api.github.com/repos/huggingface/datasets/issues/4107/events | https://github.com/huggingface/datasets/issues/4107 | 1,194,484,885 | I_kwDODunzps5HMmSV | 4,107 | Unable to view the dataset and loading the same dataset throws the error - ArrowInvalid: Exceeded maximum rows | {
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"Thanks for reporting. I'm looking at it",
" It's not related to the dataset viewer in itself. I can replicate the error with:\r\n\r\n```\r\n>>> import datasets as ds\r\n>>> d = ds.load_dataset('Pavithree/explainLikeImFive')\r\nUsing custom data configuration Pavithree--explainLikeImFive-b68b6d8112cd8a51\r\nDown... | 2022-04-06T11:37:15Z | 2022-04-08T07:13:07Z | 2022-04-06T14:39:55Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue - -ArrowInvalid: Exceeded maximum rows
**Link:** *https://huggingface.co/datasets/Pavithree/explainLikeImFive*
*This is the subset of original eli5 dataset https://huggingface.co/datasets/vblagoje/lfqa. I just filtered the data samples which belongs to one particular subreddit thread. How... | {
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https://api.github.com/repos/huggingface/datasets/issues/6140 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6140/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6140/comments | https://api.github.com/repos/huggingface/datasets/issues/6140/events | https://github.com/huggingface/datasets/issues/6140 | 1,845,384,712 | I_kwDODunzps5t_lYI | 6,140 | Misalignment between file format specified in configs metadata YAML and the inferred builder | {
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} | There is a misalignment between the format of the `data_files` specified in the configs metadata YAML (CSV):
```yaml
configs:
- config_name: default
data_files:
- split: train
path: data.csv
```
and the inferred builder (JSON). Note there are multiple JSON files in the repo, but they do not... | {
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https://api.github.com/repos/huggingface/datasets/issues/8012 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8012/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8012/comments | https://api.github.com/repos/huggingface/datasets/issues/8012/events | https://github.com/huggingface/datasets/issues/8012 | 3,963,855,875 | I_kwDODunzps7sQ6QD | 8,012 | HC3 dataset fails to load with datasets>=3 due to legacy script (HC3.py) | {
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"This is not a bug. This is intended behaviour. The only ways to resolve this are\n1. use the old `datasets` versions\n2. load the dataset and upload it to your own repo without a script\n3. raise an issue in the dataset and wait for the owner to update it."
] | 2026-02-19T16:27:51Z | 2026-02-20T11:58:20Z | 2026-02-20T11:58:20Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
It looks like the current documentation suggests loading the dataset like this:
`load_dataset("Hello-SimpleAI/HC3", split="train")
`
But with datasets>=3.x, this raises:
RuntimeError: Dataset scripts are no longer supported, but found HC3.py
The dataset loads correctly if we specify the parqu... | {
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https://api.github.com/repos/huggingface/datasets/issues/7122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7122/comments | https://api.github.com/repos/huggingface/datasets/issues/7122/events | https://github.com/huggingface/datasets/issues/7122 | 2,482,491,258 | I_kwDODunzps6T9896 | 7,122 | [interleave_dataset] sample batches from a single source at a time | {
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} | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3747 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3747/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3747/comments | https://api.github.com/repos/huggingface/datasets/issues/3747/events | https://github.com/huggingface/datasets/issues/3747 | 1,141,688,854 | I_kwDODunzps5EDMoW | 3,747 | Passing invalid subset should throw an error | {
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] | open | false | [] | null | [] | 2022-02-17T18:16:11Z | 2022-02-17T18:16:11Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
Only some datasets have a subset (as in `load_dataset(name, subset)`). If you pass an invalid subset, an error should be thrown.
## Steps to reproduce the bug
```python
import datasets
datasets.load_dataset('rotten_tomatoes', 'asdfasdfa')
```
## Expected results
This should break, since ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7282 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7282/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7282/comments | https://api.github.com/repos/huggingface/datasets/issues/7282/events | https://github.com/huggingface/datasets/issues/7282 | 2,642,075,491 | I_kwDODunzps6det9j | 7,282 | Faulty datasets.exceptions.ExpectedMoreSplitsError | {
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} | ### Describe the bug
Trying to download only the 'validation' split of my dataset; instead hit the error `datasets.exceptions.ExpectedMoreSplitsError`.
Appears to be the same undesired behavior as reported in [#6939](https://github.com/huggingface/datasets/issues/6939), but with `data_files`, not `data_dir`.
Her... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/657/comments | https://api.github.com/repos/huggingface/datasets/issues/657/events | https://github.com/huggingface/datasets/issues/657 | 706,204,383 | MDU6SXNzdWU3MDYyMDQzODM= | 657 | Squad Metric Description & Feature Mismatch | {
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"Thanks for reporting !\r\nThere indeed a mismatch between the features and the kwargs description\r\n\r\nI believe `answer_start` was added to match the squad dataset format for consistency, even though it is not used in the metric computation. I think I'd rather keep it this way, so that you can just give `refere... | 2020-09-22T09:07:00Z | 2020-10-13T02:16:56Z | 2020-09-29T15:57:38Z | null | NONE | [] | null | null | {
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} | The [description](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L39) doesn't mention `answer_start` in squad. However the `datasets.features` require [it](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L68). It's also not used in the evaluation. | {
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https://api.github.com/repos/huggingface/datasets/issues/7100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7100/comments | https://api.github.com/repos/huggingface/datasets/issues/7100/events | https://github.com/huggingface/datasets/issues/7100 | 2,465,529,414 | I_kwDODunzps6S9P5G | 7,100 | IterableDataset: cannot resolve features from list of numpy arrays | {
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"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 | null | NONE | [] | null | null | {
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} | ### Describe the bug
when resolve features of `IterableDataset`, got `pyarrow.lib.ArrowInvalid: Can only convert 1-dimensional array values` error.
```
Traceback (most recent call last):
File "test.py", line 6
iter_ds = iter_ds._resolve_features()
File "lib/python3.10/site-packages/datasets/iterable_dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4306/comments | https://api.github.com/repos/huggingface/datasets/issues/4306/events | https://github.com/huggingface/datasets/issues/4306 | 1,231,137,204 | I_kwDODunzps5JYam0 | 4,306 | `load_dataset` does not work with certain filename. | {
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"Never mind. It is because of the caching of datasets..."
] | 2022-05-10T13:14:04Z | 2022-05-10T18:58:36Z | 2022-05-10T18:58:09Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
This is a weird bug that took me some time to find out.
I have a JSON dataset that I want to load with `load_dataset` like this:
```
data_files = dict(train="train.json.zip", val="val.json.zip")
dataset = load_dataset("json", data_files=data_files, field="data")
```
## Expected results
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7171/comments | https://api.github.com/repos/huggingface/datasets/issues/7171/events | https://github.com/huggingface/datasets/issues/7171 | 2,549,738,919 | I_kwDODunzps6X-e2n | 7,171 | CI is broken: No solution found when resolving dependencies | {
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```
Run uv pip install --system -r additional-tests-requirements.txt --no-deps
× No solution found when resolving dependencies:
╰─▶ Because the current Python version (3.8.18) does not satisfy Python>=3.9
and torchdata=... | {
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https://api.github.com/repos/huggingface/datasets/issues/5293 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5293/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5293/comments | https://api.github.com/repos/huggingface/datasets/issues/5293/events | https://github.com/huggingface/datasets/issues/5293 | 1,463,669,201 | I_kwDODunzps5XPdHR | 5,293 | Support streaming datasets with pathlib.Path.with_suffix | {
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This feature will be useful e.g. for datasets containing text files and annotated files with the same name but different extension. | {
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https://api.github.com/repos/huggingface/datasets/issues/2569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2569/comments | https://api.github.com/repos/huggingface/datasets/issues/2569/events | https://github.com/huggingface/datasets/issues/2569 | 933,015,797 | MDU6SXNzdWU5MzMwMTU3OTc= | 2,569 | Weights of model checkpoint not initialized for RobertaModel for Bertscore | {
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"Hi @suzyahyah, thanks for reporting.\r\n\r\nThe message you get is indeed not an error message, but a warning coming from Hugging Face `transformers`. The complete warning message is:\r\n```\r\nSome weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.wei... | 2021-06-29T18:55:23Z | 2021-07-01T07:08:59Z | 2021-06-30T07:35:49Z | {
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} | When applying bertscore out of the box,
```Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.weight', 'lm_head.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.dense.weight', 'lm_head.layer_norm.weight']```
Following the typical ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4502 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4502/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4502/comments | https://api.github.com/repos/huggingface/datasets/issues/4502/events | https://github.com/huggingface/datasets/issues/4502 | 1,272,353,700 | I_kwDODunzps5L1pOk | 4,502 | Logic bug in arrow_writer? | {
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"Hi @cccntu you're right, as when `batch_examples={}` the current if-statement won't be triggered as the condition won't be satisfied, I'll prepare a PR to address it as well as add the regression tests so that this issue is handled properly.",
"Hi @alvarobartt ,\r\nThanks for answering. Do you know when and why ... | 2022-06-15T14:50:00Z | 2022-06-18T15:15:51Z | 2022-06-18T15:15:51Z | null | CONTRIBUTOR | [] | null | null | {
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I got some error, and I found it's caused by `batch_examples` being `{}`. I wonder if the code should be as follows:
```
- if batch_examples and len(next(iter(batch_examples.values())... | {
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https://api.github.com/repos/huggingface/datasets/issues/359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/359/comments | https://api.github.com/repos/huggingface/datasets/issues/359/events | https://github.com/huggingface/datasets/issues/359 | 653,656,279 | MDU6SXNzdWU2NTM2NTYyNzk= | 359 | ArrowBasedBuilder _prepare_split parse_schema breaks on nested structures | {
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"Hi, it depends on what it is in your `dataset_builder.py` file. Can you share it?\r\n\r\nIf you are just loading `json` files, you can also directly use the `json` script (which will find the schema/features from your JSON structure):\r\n\r\n```python\r\nfrom nlp import load_dataset\r\nds = load_dataset(\"json\", ... | 2020-07-08T23:24:05Z | 2020-07-10T14:52:06Z | 2020-07-10T14:52:06Z | null | NONE | [] | null | null | {
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```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-23-9aecfbee53bd> in <mo... | {
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https://api.github.com/repos/huggingface/datasets/issues/2135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2135/comments | https://api.github.com/repos/huggingface/datasets/issues/2135/events | https://github.com/huggingface/datasets/issues/2135 | 843,246,344 | MDU6SXNzdWU4NDMyNDYzNDQ= | 2,135 | en language data from MLQA dataset is missing | {
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"Hi ! Indeed only the languages of the `translate-train` data are included...\r\nI can't find a link to download the english train set on https://github.com/facebookresearch/MLQA though, do you know where we can download it ?",
"Hi @lhoestq \r\nthank you very much for coming back to me, now I see, you are right, ... | 2021-03-29T10:47:50Z | 2021-03-30T10:20:23Z | 2021-03-30T10:20:23Z | null | CONTRIBUTOR | [] | null | null | {
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I need mlqa-translate-train.en dataset, but it is missing from the MLQA dataset. could you have a look please? @lhoestq thank you for your help to fix this issue. | {
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https://api.github.com/repos/huggingface/datasets/issues/7756 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7756/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7756/comments | https://api.github.com/repos/huggingface/datasets/issues/7756/events | https://github.com/huggingface/datasets/issues/7756 | 3,387,076,693 | I_kwDODunzps7J4rBV | 7,756 | datasets.map(f, num_proc=N) hangs with N>1 when run on import | {
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"Hii !! Frosh from India taking issue #7756. \n\nPlan - Add try/except multiprocessing. Start Method, Context + Fallback to num_proc = 1. \n\nForked, coding now... PR in a few "
] | 2025-09-05T10:32:01Z | 2026-01-27T12:58:35Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
If you `import` a module that runs `datasets.map(f, num_proc=N)` at the top-level, Python hangs.
### Steps to reproduce the bug
1. Create a file that runs datasets.map at the top-level:
```bash
cat <<EOF > import_me.py
import datasets
the_dataset = datasets.load_dataset("openai/openai_humanev... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/546/comments | https://api.github.com/repos/huggingface/datasets/issues/546/events | https://github.com/huggingface/datasets/issues/546 | 689,186,526 | MDU6SXNzdWU2ODkxODY1MjY= | 546 | Very slow data loading on large dataset | {
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"When you load a text file for the first time with `nlp`, the file is converted into Apache Arrow format. Arrow allows to use memory-mapping, which means that you can load an arbitrary large dataset.\r\n\r\nNote that as soon as the conversion has been done once, the next time you'll load the dataset it will be much... | 2020-08-31T12:57:23Z | 2024-01-02T20:26:24Z | 2020-09-08T10:19:57Z | null | NONE | [] | null | null | {
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It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | {
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https://api.github.com/repos/huggingface/datasets/issues/365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/365/comments | https://api.github.com/repos/huggingface/datasets/issues/365/events | https://github.com/huggingface/datasets/issues/365 | 653,845,964 | MDU6SXNzdWU2NTM4NDU5NjQ= | 365 | How to augment data ? | {
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"Using batched map is probably the easiest way at the moment.\r\nWhat kind of augmentation would you like to do ?",
"Some samples in the dataset are too long, I want to divide them in several samples.",
"Using batched map is the way to go then.\r\nWe'll make it clearer in the docs that map could be used for aug... | 2020-07-09T07:52:37Z | 2020-07-10T09:12:07Z | 2020-07-10T08:22:15Z | null | NONE | [] | null | null | {
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For now my work-around is to use batched map, like this :
```python
def aug(samples):
# Simply copy the existing data to have x2 amount of data
for k, v in samples.items():
samples[k].extend(v)
return samples
dataset = dataset.map(aug, batched=T... | {
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https://api.github.com/repos/huggingface/datasets/issues/1972 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1972/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1972/comments | https://api.github.com/repos/huggingface/datasets/issues/1972/events | https://github.com/huggingface/datasets/issues/1972 | 819,752,761 | MDU6SXNzdWU4MTk3NTI3NjE= | 1,972 | 'Dataset' object has no attribute 'rename_column' | {
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"Hi ! `rename_column` has been added recently and will be available in the next release"
] | 2021-03-02T08:01:49Z | 2022-06-01T16:08:47Z | 2022-06-01T16:08:47Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/206/comments | https://api.github.com/repos/huggingface/datasets/issues/206/events | https://github.com/huggingface/datasets/issues/206 | 625,842,989 | MDU6SXNzdWU2MjU4NDI5ODk= | 206 | [Question] Combine 2 datasets which have the same columns | {
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"We are thinking about ways to combine datasets for T5 in #217, feel free to share your thoughts about this.",
"Ok great! I will look at it. Thanks"
] | 2020-05-27T16:25:52Z | 2020-06-10T09:11:14Z | 2020-06-10T09:11:14Z | null | CONTRIBUTOR | [] | null | null | {
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I am using ``nlp`` to load personal datasets. I created summarization datasets in multi-languages based on wikinews. I have one dataset for english and one for german (french is getting to be ready as well). I want to keep these datasets independent because they need different pre-processing (add different task-... | {
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https://api.github.com/repos/huggingface/datasets/issues/5028 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5028/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5028/comments | https://api.github.com/repos/huggingface/datasets/issues/5028/events | https://github.com/huggingface/datasets/issues/5028 | 1,386,272,533 | I_kwDODunzps5SoNcV | 5,028 | passing parameters to the method passed to Dataset.from_generator() | {
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] | closed | false | [] | null | [
"Hi! Yes, you can either use the `gen_kwargs` param in `Dataset.from_generator` (`ds = Dataset.from_generator(gen, gen_kwargs={\"param1\": val})`) or wrap the generator function with `functools.partial`\r\n(`ds = Dataset.from_generator(functools.partial(gen, param1=\"val\"))`) to pass custom parameters to it.\r\n"
... | 2022-09-26T15:20:06Z | 2022-10-03T13:00:00Z | 2022-10-03T13:00:00Z | null | NONE | [] | null | null | {
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I want to ask whether there is any way that parameters can be passed to the method Dataset.from_generator() method, like as follows.
```
from datasets import Dataset
def gen(param1):
for idx in len(custom_dataset):
yield custom_dataset[id... | {
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https://api.github.com/repos/huggingface/datasets/issues/795 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/795/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/795/comments | https://api.github.com/repos/huggingface/datasets/issues/795/events | https://github.com/huggingface/datasets/issues/795 | 735,198,265 | MDU6SXNzdWU3MzUxOTgyNjU= | 795 | Descriptions of raw and processed versions of wikitext are inverted | {
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"Yes indeed ! Thanks for reporting",
"Fixed by:\r\n- #3241"
] | 2020-11-03T10:24:51Z | 2022-02-14T15:46:21Z | 2022-02-14T15:46:21Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3992 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3992/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3992/comments | https://api.github.com/repos/huggingface/datasets/issues/3992/events | https://github.com/huggingface/datasets/issues/3992 | 1,177,946,153 | I_kwDODunzps5GNggp | 3,992 | Image column is not decoded in map when using with with_transform | {
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"Hi! This behavior stems from this line: https://github.com/huggingface/datasets/blob/799b817d97590ddc97cbd38d07469403e030de8c/src/datasets/arrow_dataset.py#L1919\r\nBasically, the `Image`/`Audio` columns are decoded only if the `format_type` attribute is `None` (`set_format`/`with_format` and `set_transform`/`with... | 2022-03-23T10:51:13Z | 2022-12-13T16:59:06Z | 2022-12-13T16:59:06Z | {
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} | ## Describe the bug
Image column is not _decoded_ in **map** when using with `with_transform`
## Steps to reproduce the bug
```python
from datasets import Image, Dataset
def add_C(batch):
batch["C"] = batch["A"]
return batch
ds = Dataset.from_dict({"A": ["image.png"]}).cast_column("A", Image())
... | {
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https://api.github.com/repos/huggingface/datasets/issues/3889 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3889/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3889/comments | https://api.github.com/repos/huggingface/datasets/issues/3889/events | https://github.com/huggingface/datasets/issues/3889 | 1,165,456,083 | I_kwDODunzps5Fd3LT | 3,889 | Cannot load beans dataset (Couldn't reach the dataset) | {
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"Hi ! A pull request is open to fix the dataset, we'll release a patch soon with a new release of `datasets` :)"
] | 2022-03-10T16:34:08Z | 2022-03-15T15:26:47Z | 2022-03-15T15:26:47Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
The beans dataset is unavailable to download.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('beans')
```
## Expected results
The dataset would be downloaded with no issue.
## Actual results
```
ConnectionError: Couldn't reach https://s... | {
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https://api.github.com/repos/huggingface/datasets/issues/5851 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5851/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5851/comments | https://api.github.com/repos/huggingface/datasets/issues/5851/events | https://github.com/huggingface/datasets/issues/5851 | 1,707,907,048 | I_kwDODunzps5lzJfo | 5,851 | Error message not clear in interleaving datasets | {
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standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction
I'm tr... | {
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https://api.github.com/repos/huggingface/datasets/issues/7457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7457/comments | https://api.github.com/repos/huggingface/datasets/issues/7457/events | https://github.com/huggingface/datasets/issues/7457 | 2,924,886,467 | I_kwDODunzps6uVjnD | 7,457 | Document the HF_DATASETS_CACHE env variable | {
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"Strongly agree to this, in addition, I am also suffering to change the cache location similar to other issues (since I changed the environmental variables).\nhttps://github.com/huggingface/datasets/issues/6886",
"`HF_DATASETS_CACHE` should be documented there indeed, feel free to open a PR :) ",
"Hey, I’d love... | 2025-03-17T12:24:50Z | 2025-05-06T15:54:39Z | 2025-05-06T15:54:39Z | {
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} | ### Feature request
Hello,
I have a use case where my team is sharing models and dataset in shared directory to avoid duplication.
I noticed that the [cache documentation for datasets](https://huggingface.co/docs/datasets/main/en/cache) only mention the `HF_HOME` environment variable but never the `HF_DATASETS_CACHE`... | {
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https://api.github.com/repos/huggingface/datasets/issues/3131 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3131/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3131/comments | https://api.github.com/repos/huggingface/datasets/issues/3131/events | https://github.com/huggingface/datasets/issues/3131 | 1,032,309,865 | I_kwDODunzps49h8xp | 3,131 | Add ADE20k | {
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"I think we can close this issue since PR [#3607](https://github.com/huggingface/datasets/pull/3607) solves this."
] | 2021-10-21T10:13:09Z | 2023-01-27T14:40:20Z | 2023-01-27T14:40:20Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** ADE20k (actually it's called the MIT Scene Parsing Benchmark, it's actually a subset of ADE20k but a lot of authors still call it ADE20k)
- **Description:** A semantic segmentation dataset, consisting of 150 classes.
- **Paper:** http://people.csail.mit.edu/bzhou/publication/scene-par... | {
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https://api.github.com/repos/huggingface/datasets/issues/6014 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6014/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6014/comments | https://api.github.com/repos/huggingface/datasets/issues/6014/events | https://github.com/huggingface/datasets/issues/6014 | 1,798,213,816 | I_kwDODunzps5rLpC4 | 6,014 | Request to Share/Update Dataset Viewer Code | {
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"Hi ! The huggingface/dataset-viewer code was not maintained anymore because we switched to a new dataset viewer that is deployed available for each dataset the Hugging Face website.\r\n\r\nWhat are you using this old repository for ?",
"I think these parts are outdated:\r\n\r\n* https://github.com/huggingface/da... | 2023-07-11T06:36:09Z | 2024-07-20T07:29:08Z | 2023-09-25T12:01:17Z | null | NONE | [] | null | null | {
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Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of documentation of that attribute.
Request:
I k... | {
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https://api.github.com/repos/huggingface/datasets/issues/1984 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1984/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1984/comments | https://api.github.com/repos/huggingface/datasets/issues/1984/events | https://github.com/huggingface/datasets/issues/1984 | 821,816,588 | MDU6SXNzdWU4MjE4MTY1ODg= | 1,984 | Add tests for WMT datasets | {
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"Dummy data generation is deprecated now. Closing."
] | 2021-03-04T06:46:42Z | 2022-11-04T14:19:16Z | 2022-11-04T14:19:16Z | null | MEMBER | [] | null | null | {
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} | As requested in #1981, we need tests for WMT datasets, using dummy data. | {
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https://api.github.com/repos/huggingface/datasets/issues/4893 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4893/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4893/comments | https://api.github.com/repos/huggingface/datasets/issues/4893/events | https://github.com/huggingface/datasets/issues/4893 | 1,350,655,674 | I_kwDODunzps5QgV66 | 4,893 | Oversampling strategy for iterable datasets in `interleave_datasets` | {
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"Hi @lhoestq,\r\nI plunged into the code and it should be manageable for me to work on it!\r\n#take\r\n\r\nAlso, setting `d1`, `d2` and `d3` as you did raised a `SyntaxError: 'yield' inside list comprehension` for me, on Python 3.8.10.\r\nThe following snippet works for me though:\r\n```\r\nd1 = IterableDataset(Exa... | 2022-08-25T10:06:55Z | 2022-10-03T12:37:46Z | 2022-10-03T12:37:46Z | {
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} | In https://github.com/huggingface/datasets/pull/4831 @ylacombe added an oversampling strategy for `interleave_datasets`. However right now it doesn't work for datasets loaded using `load_dataset(..., streaming=True)`, which are `IterableDataset` objects.
It would be nice to expand `interleave_datasets` for iterable ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7290/comments | https://api.github.com/repos/huggingface/datasets/issues/7290/events | https://github.com/huggingface/datasets/issues/7290 | 2,657,620,816 | I_kwDODunzps6eaBNQ | 7,290 | `Dataset.save_to_disk` hangs when using num_proc > 1 | {
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"I've met the same situations.\r\n\r\nHere's my logs:\r\nnum_proc = 64, I stop it early as it cost **too** much time.\r\n```\r\nSaving the dataset (1540/4775 shards): 32%|███▏ | 47752224/147853764 [15:32:54<132:28:34, 209.89 examples/s]\r\nSaving the dataset (1540/4775 shards): 32%|███▏ | 47754224/14785... | 2024-11-14T05:25:13Z | 2025-11-24T09:43:03Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi, I'm encountered a small issue when saving datasets that led to the saving taking up to multiple hours.
Specifically, [`Dataset.save_to_disk`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.save_to_disk) is a lot slower when using `num_proc>1` than... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7225/comments | https://api.github.com/repos/huggingface/datasets/issues/7225/events | https://github.com/huggingface/datasets/issues/7225 | 2,586,229,216 | I_kwDODunzps6aJrng | 7,225 | Huggingface GIT returns null as Content-Type instead of application/x-git-receive-pack-result | {
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} | ### Describe the bug
We push changes to our datasets programmatically. Our git client jGit reports that the hf git server returns null as Content-Type after a push.
### Steps to reproduce the bug
A basic kotlin application:
```
val person = PersonIdent(
"padmalcom",
"padmalcom@sth.com"
)
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https://api.github.com/repos/huggingface/datasets/issues/5990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5990/comments | https://api.github.com/repos/huggingface/datasets/issues/5990/events | https://github.com/huggingface/datasets/issues/5990 | 1,774,389,854 | I_kwDODunzps5pwwpe | 5,990 | Pushing a large dataset on the hub consistently hangs | {
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"Hi @AntreasAntoniou , sorry to know you are facing this issue. To help debugging it, could you tell me:\r\n- What is the total dataset size?\r\n- Is it always failing on the same shard or is the hanging problem happening randomly?\r\n- Were you able to save the dataset as parquet locally? This would help us determ... | 2023-06-10T14:46:47Z | 2025-02-15T09:29:10Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Once I have locally built a large dataset that I want to push to hub, I use the recommended approach of .push_to_hub to get the dataset on the hub, and after pushing a few shards, it consistently hangs. This has happened over 40 times over the past week, and despite my best efforts to try and catc... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4192 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4192/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4192/comments | https://api.github.com/repos/huggingface/datasets/issues/4192/events | https://github.com/huggingface/datasets/issues/4192 | 1,210,692,554 | I_kwDODunzps5IKbPK | 4,192 | load_dataset can't load local dataset,Unable to find ... | {
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"Hi! :)\r\n\r\nI believe that should work unless `dataset_infos.json` isn't actually a dataset. For Hugging Face datasets, there is usually a file named `dataset_infos.json` which contains metadata about the dataset (eg. the dataset citation, license, description, etc). Can you double-check that `dataset_infos.json... | 2022-04-21T08:28:58Z | 2022-04-25T16:51:57Z | 2022-04-22T07:39:53Z | null | NONE | [] | null | null | {
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Traceback (most recent call last):
File "/home/gs603/ahf/pretrained/model.py", line 48, in <module>
dataset = load_dataset("json",data_files="dataset/dataset_infos.json")
File "/home/gs603/miniconda3/envs/coderepair/lib/python3.7/site-packages/datasets/load.py", line 1675, in load_dataset
**config_kwa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2226/comments | https://api.github.com/repos/huggingface/datasets/issues/2226/events | https://github.com/huggingface/datasets/issues/2226 | 859,720,302 | MDU6SXNzdWU4NTk3MjAzMDI= | 2,226 | Batched map fails when removing all columns | {
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"I found the problem. I called `set_format` on some columns before. This makes it crash. Here is a complete example to reproduce:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\nsst = load_dataset(\"sst\")\r\nsst.set_format(\"torch\", columns=[\"label\"], output_all_columns=True)\r\nds = sst[\"train\"]\r\n... | 2021-04-16T11:17:01Z | 2022-10-05T17:32:15Z | 2022-10-05T17:32:15Z | {
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} | Hi @lhoestq ,
I'm hijacking this issue, because I'm currently trying to do the approach you recommend:
> Currently the optimal setup for single-column computations is probably to do something like
>
> ```python
> result = dataset.map(f, input_columns="my_col", remove_columns=dataset.column_names)
> ```
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https://api.github.com/repos/huggingface/datasets/issues/3189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3189/comments | https://api.github.com/repos/huggingface/datasets/issues/3189/events | https://github.com/huggingface/datasets/issues/3189 | 1,041,044,986 | I_kwDODunzps4-DRX6 | 3,189 | conll2003 incorrect label explanation | {
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"Hi @BramVanroy,\r\n\r\nsince these fields are of type `ClassLabel` (you can check this with `dset.features`), you can inspect the possible values with:\r\n```python\r\ndset.features[field_name].feature.names # .feature because it's a sequence of labels\r\n```\r\n\r\nand to find the mapping between names and integ... | 2021-11-01T11:03:30Z | 2021-11-09T10:40:58Z | 2021-11-09T10:40:58Z | null | CONTRIBUTOR | [] | null | null | {
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} | In the [conll2003](https://huggingface.co/datasets/conll2003#data-fields) README, the labels are described as follows
> - `id`: a `string` feature.
> - `tokens`: a `list` of `string` features.
> - `pos_tags`: a `list` of classification labels, with possible values including `"` (0), `''` (1), `#` (2), `$` (3), `(`... | {
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https://api.github.com/repos/huggingface/datasets/issues/6317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6317/comments | https://api.github.com/repos/huggingface/datasets/issues/6317/events | https://github.com/huggingface/datasets/issues/6317 | 1,951,965,668 | I_kwDODunzps50WKHk | 6,317 | sentiment140 dataset unavailable | {
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"Thanks for reporting. We are investigating the issue.",
"We have opened an issue in the corresponding Hub dataset: https://huggingface.co/datasets/sentiment140/discussions/3\r\n\r\nLet's continue the discussion there."
] | 2023-10-19T11:25:21Z | 2023-10-19T13:04:56Z | 2023-10-19T13:04:56Z | {
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} | ### Describe the bug
loading the dataset using load_dataset("sentiment140") returns the following error
ConnectionError: Couldn't reach http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip (error 403)
### Steps to reproduce the bug
Run the following code (version should not matter).
```
from data... | {
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https://api.github.com/repos/huggingface/datasets/issues/3954 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3954/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3954/comments | https://api.github.com/repos/huggingface/datasets/issues/3954/events | https://github.com/huggingface/datasets/issues/3954 | 1,172,141,664 | I_kwDODunzps5F3XZg | 3,954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | {
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"Hi @MatanBenChorin, thanks for reporting.\r\n\r\nPlease, take into account that the preview may take some time until it properly renders (we are working to reduce this time).\r\n\r\nMaybe @severo can give more details on this.",
"Hi, \r\nThank you",
"Thanks for reporting. We are looking at it and will give upd... | 2022-03-17T09:38:11Z | 2022-04-20T12:39:07Z | 2022-04-20T12:39:07Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes | {
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https://api.github.com/repos/huggingface/datasets/issues/5604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5604/comments | https://api.github.com/repos/huggingface/datasets/issues/5604/events | https://github.com/huggingface/datasets/issues/5604 | 1,608,304,775 | I_kwDODunzps5f3MiH | 5,604 | Problems with downloading The Pile | {
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"Hi! \r\n\r\n\r\nYou can specify `download_config=DownloadConfig(resume_download=True))` in `load_dataset` to resume the download when re-running the code after the timeout error:\r\n```python\r\nfrom datasets import load_dataset, DownloadConfig\r\ndataset = load_dataset('the_pile', split='train', cache_dir='F:\\da... | 2023-03-03T09:52:08Z | 2023-10-14T02:15:52Z | 2023-03-24T12:44:25Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
The downloads in the screenshot seem to be interrupted after some time and the last download throws a "Read timed out" error.

Here are the downloaded files:
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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https://api.github.com/repos/huggingface/datasets/issues/7792 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7792/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7792/comments | https://api.github.com/repos/huggingface/datasets/issues/7792/events | https://github.com/huggingface/datasets/issues/7792 | 3,456,802,210 | I_kwDODunzps7OCp2i | 7,792 | Concatenate IterableDataset instances and distribute underlying shards in a RoundRobin manner | {
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"# With `datasets.Dataset`\n\nHere is an small script that shows the distribution differences of samples between `interleave_datasets`, `concatenate_datasets` and `concatenate_datasets` + shuffling.\n\n```python\nimport datasets as hf_datasets\n\ndef gen(dataset: int, n_samples: int):\n for i in range(n_samples)... | 2025-09-26T10:05:19Z | 2025-10-15T18:05:23Z | 2025-10-15T18:05:23Z | null | NONE | [] | null | null | {
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} | ### Feature request
I would like to be able to concatenate multiple `IterableDataset` with possibly different features. I would like to then be able to stream the results in parallel (both using DDP and multiple workers in the pytorch DataLoader). I want the merge of datasets to be well balanced between the different ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2653/comments | https://api.github.com/repos/huggingface/datasets/issues/2653/events | https://github.com/huggingface/datasets/issues/2653 | 945,102,321 | MDU6SXNzdWU5NDUxMDIzMjE= | 2,653 | Add SD task for SUPERB | {
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"Note that this subset requires us to:\r\n\r\n* generate the LibriMix corpus from LibriSpeech\r\n* prepare the corpus for diarization\r\n\r\nAs suggested by @lhoestq we should perform these steps locally and add the prepared data to this public repo on the Hub: https://huggingface.co/datasets/superb/superb-data\r\n... | 2021-07-15T07:51:40Z | 2021-08-04T17:03:52Z | 2021-08-04T17:03:52Z | {
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} | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
Steps:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Up... | {
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https://api.github.com/repos/huggingface/datasets/issues/4612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4612/comments | https://api.github.com/repos/huggingface/datasets/issues/4612/events | https://github.com/huggingface/datasets/issues/4612 | 1,290,984,660 | I_kwDODunzps5M8tzU | 4,612 | Release 2.3.0 broke custom iterable datasets | {
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"Apparently, `fsspec` does not allow access to attribute-based modules anymore, such as `fsspec.async`.\r\n\r\nHowever, this is a fairly simple fix:\r\n- Change the import to: `from fsspec import asyn`;\r\n- Change line 18 to: `asyn.iothread[0] = None`;\r\n- Change line 19 to `asyn.loop[0] = None`.",
"Hi! I think... | 2022-07-01T06:46:07Z | 2022-07-05T15:08:21Z | 2022-07-05T15:08:21Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Trying to iterate examples from custom iterable dataset fails to bug introduced in `torch_iterable_dataset.py` since the release of 2.3.0.
## Steps to reproduce the bug
```python
next(iter(custom_iterable_dataset))
```
## Expected results
`next(iter(custom_iterable_dataset))` should retu... | {
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https://api.github.com/repos/huggingface/datasets/issues/2926 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2926/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2926/comments | https://api.github.com/repos/huggingface/datasets/issues/2926/events | https://github.com/huggingface/datasets/issues/2926 | 997,463,277 | I_kwDODunzps47dBTt | 2,926 | Error when downloading datasets to non-traditional cache directories | {
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"Same here !"
] | 2021-09-15T19:59:46Z | 2021-11-24T21:42:31Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
When the cache directory is linked (soft link) to a directory on a NetApp device, the download fails.
## Steps to reproduce the bug
```bash
ln -s /path/to/netapp/.cache ~/.cache
```
```python
load_dataset("imdb")
```
## Expected results
Successfully loading IMDB dataset
## Actual... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3841/comments | https://api.github.com/repos/huggingface/datasets/issues/3841/events | https://github.com/huggingface/datasets/issues/3841 | 1,161,203,842 | I_kwDODunzps5FNpCC | 3,841 | Pyright reportPrivateImportUsage when `from datasets import load_dataset` | {
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"Hi! \r\n\r\nThis issue stems from `datasets` having `py.typed` defined (see https://github.com/microsoft/pyright/discussions/3764#discussioncomment-3282142) - to avoid it, we would either have to remove `py.typed` (added to be compliant with PEP-561) or export the names with `__all__`/`from .submodule import name ... | 2022-03-07T10:24:04Z | 2023-02-18T19:14:03Z | 2023-02-13T13:48:41Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
Pyright complains about module not exported.
## Steps to reproduce the bug
Use an editor/IDE with Pyright Language server with default configuration:
```python
from datasets import load_dataset
```
## Expected results
No complain from Pyright
## Actual results
Pyright complain below... | {
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https://api.github.com/repos/huggingface/datasets/issues/648 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/648/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/648/comments | https://api.github.com/repos/huggingface/datasets/issues/648/events | https://github.com/huggingface/datasets/issues/648 | 704,753,123 | MDU6SXNzdWU3MDQ3NTMxMjM= | 648 | offset overflow when multiprocessing batched map on large datasets. | {
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"This should be fixed with #645 ",
"Feel free to re-open if it still occurs",
"This has just happened to me while working with a large (65GB) Parquet dataset.\n```\n[rank0]: Traceback (most recent call last):\n[rank0]: File \"/app/LLaMA-Factory/src/llamafactory/launcher.py\", line 23, in <module>\n[rank0]: ... | 2020-09-19T02:15:11Z | 2025-06-17T12:56:07Z | 2020-09-19T16:46:31Z | null | CONTRIBUTOR | [] | null | null | {
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} | It only happened when "multiprocessing" + "batched" + "large dataset" at the same time.
```
def bprocess(examples):
examples['len'] = []
for text in examples['text']:
examples['len'].append(len(text))
return examples
wiki.map(brpocess, batched=True, num_proc=8)
```
```
----------------------------... | {
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https://api.github.com/repos/huggingface/datasets/issues/597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/597/comments | https://api.github.com/repos/huggingface/datasets/issues/597/events | https://github.com/huggingface/datasets/issues/597 | 697,112,029 | MDU6SXNzdWU2OTcxMTIwMjk= | 597 | Indices incorrect with multiprocessing | {
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"I fixed a bug that could cause this issue earlier today. Could you pull the latest version and try again ?",
"Still the case on master.\r\nI guess we should have an offset in the multi-procs indeed (hopefully it's enough).\r\n\r\nAlso, side note is that we should add some logging before the \"test\" to say we ar... | 2020-09-09T19:50:56Z | 2020-09-10T11:03:37Z | 2020-09-10T11:03:37Z | {
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} | When `num_proc` > 1, the indices argument passed to the map function is incorrect:
```python
d = load_dataset('imdb', split='test[:1%]')
def fn(x, inds):
print(inds)
return x
d.select(range(10)).map(fn, with_indices=True, batched=True)
# [0, 1]
# [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
d.select(range(10... | {
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https://api.github.com/repos/huggingface/datasets/issues/3628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3628/comments | https://api.github.com/repos/huggingface/datasets/issues/3628/events | https://github.com/huggingface/datasets/issues/3628 | 1,113,930,644 | I_kwDODunzps5CZTuU | 3,628 | Dataset Card Creator drops information for "Additional Information" Section | {
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} | First of all, the card creator is a great addition and really helpful for streamlining dataset cards!
## Describe the bug
I encountered an inconvenient bug when entering "Additional Information" in the react app, which drops already entered text when switching to a previous section, and then back again to "Addition... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6868 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6868/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6868/comments | https://api.github.com/repos/huggingface/datasets/issues/6868/events | https://github.com/huggingface/datasets/issues/6868 | 2,279,385,159 | I_kwDODunzps6H3KhH | 6,868 | datasets.BuilderConfig does not work. | {
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"I guess the issue is caused by the customization of BuilderConfig that you use from the repo [https://github.com/BeyonderXX/InstructUIE](https://github.com/BeyonderXX/InstructUIE/blob/master/src/uie_dataset.py). You should report to them.\r\n\r\nI see you already opened an issue in their repo:\r\n- https://github.... | 2024-05-05T08:08:55Z | 2024-05-05T12:15:02Z | 2024-05-05T12:15:01Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I custom a BuilderConfig and GeneratorBasedBuilder.
Here is the code for BuilderConfig
```
class UIEConfig(datasets.BuilderConfig):
def __init__(
self,
*args,
data_dir=None,
instruction_file=None,
instruction_strategy=None,... | {
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https://api.github.com/repos/huggingface/datasets/issues/589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/589/comments | https://api.github.com/repos/huggingface/datasets/issues/589/events | https://github.com/huggingface/datasets/issues/589 | 696,488,447 | MDU6SXNzdWU2OTY0ODg0NDc= | 589 | Cannot use nlp.load_dataset text, AttributeError: module 'nlp.utils' has no attribute 'logging' | {
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```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/nlp/load.py", line 533, in load_dataset
builder_cls = import_main_class(module_path, dataset=True)
File "/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/nlp... | {
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https://api.github.com/repos/huggingface/datasets/issues/7767 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7767/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7767/comments | https://api.github.com/repos/huggingface/datasets/issues/7767/events | https://github.com/huggingface/datasets/issues/7767 | 3,411,654,444 | I_kwDODunzps7LWbcs | 7,767 | Custom `dl_manager` in `load_dataset` | {
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"Any feedback from maintainers on this?"
] | 2025-09-12T19:06:23Z | 2026-03-05T20:28:06Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
https://github.com/huggingface/datasets/blob/4.0.0/src/datasets/load.py#L1411-L1418
```
def load_dataset(
...
dl_manager: Optional[DownloadManager] = None, # add this new argument
**config_kwargs,
) -> Union[DatasetDict, Dataset, IterableDatasetDict, IterableDataset]:
...
# ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6567/comments | https://api.github.com/repos/huggingface/datasets/issues/6567/events | https://github.com/huggingface/datasets/issues/6567 | 2,069,808,842 | I_kwDODunzps57XsbK | 6,567 | AttributeError: 'str' object has no attribute 'to' | {
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"I think you are reporting an issue with the `transformers` library. Note this is the repository of the `datasets` library. I recommend that you open an issue in their repository: https://github.com/huggingface/transformers/issues\r\n\r\nEDIT: I have not the rights to transfer the issue\r\n~~I am transferring your ... | 2024-01-08T06:40:21Z | 2024-01-08T11:56:19Z | 2024-01-08T10:03:17Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
```
--------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
[<ipython-input-6-80c6086794e8>](https://localhost:8080/#) in <cell line: 10>()
8 report_to="wandb")
9
---> 10 trainer =... | {
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https://api.github.com/repos/huggingface/datasets/issues/5061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5061/comments | https://api.github.com/repos/huggingface/datasets/issues/5061/events | https://github.com/huggingface/datasets/issues/5061 | 1,395,476,770 | I_kwDODunzps5TLUki | 5,061 | `_pickle.PicklingError: logger cannot be pickled` in multiprocessing `map` | {
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"This is maybe related to python 3.10, do you think you could try on 3.8 ?\r\n\r\nIn the meantime we'll keep improving the support for 3.10. Let me add a dedicated CI",
"I did some binary search and seems like the root cause is either `multiprocess` or `dill`. python 3.10 is fine. Specifically:\r\n- `multiprocess... | 2022-10-03T23:51:38Z | 2023-07-21T14:43:35Z | 2023-07-21T14:43:34Z | null | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ## Describe the bug
When I `map` with multiple processes, this error occurs. The `.name` of the `logger` that fails to pickle in the final line is `datasets.fingerprint`.
```
File "~/project/dataset.py", line 204, in <dictcomp>
split: dataset.map(
File ".../site-packages/datasets/arrow_dataset.py", line 24... | {
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https://api.github.com/repos/huggingface/datasets/issues/5825 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5825/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5825/comments | https://api.github.com/repos/huggingface/datasets/issues/5825/events | https://github.com/huggingface/datasets/issues/5825 | 1,697,327,483 | I_kwDODunzps5lKyl7 | 5,825 | FileNotFound even though exists | {
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"Hi! \r\n\r\nThis would only work if `bigscience/xP3` was a no-code dataset, but it isn't (it has a Python builder script).\r\n\r\nBut this should work: \r\n```python\r\nload_dataset(\"json\", data_files=\"https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_a... | 2023-05-05T09:49:55Z | 2023-08-16T10:02:01Z | 2023-08-16T10:02:01Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.82k/2.8... | {
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https://api.github.com/repos/huggingface/datasets/issues/4769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4769/comments | https://api.github.com/repos/huggingface/datasets/issues/4769/events | https://github.com/huggingface/datasets/issues/4769 | 1,322,121,554 | I_kwDODunzps5OzflS | 4,769 | Fail to process SQuADv1.1 datasets with max_seq_length=128, doc_stride=96. | {
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} | ## Describe the bug
datasets fail to process SQuADv1.1 with max_seq_length=128, doc_stride=96 when calling datasets["train"].train_dataset.map().
## Steps to reproduce the bug
I used huggingface[ TF2 question-answering examples](https://github.com/huggingface/transformers/tree/main/examples/tensorflow/question-a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6193/comments | https://api.github.com/repos/huggingface/datasets/issues/6193/events | https://github.com/huggingface/datasets/issues/6193 | 1,872,285,153 | I_kwDODunzps5vmM3h | 6,193 | Dataset loading script method does not work with .pyc file | {
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"Before dynamically loading `.py` scripts with `importlib.import_module`, we also parse their contents to check imports, which is tricky to implement for binary `.pyc` files (requires parsing bytecode), so I don't think this is something we want to support (unless more users request it ofc) as this use case is a bi... | 2023-08-29T19:35:06Z | 2023-08-31T19:47:29Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
The huggingface dataset library specifically looks for ‘.py’ file while loading the dataset using loading script approach and it does not work with ‘.pyc’ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4935 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4935/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4935/comments | https://api.github.com/repos/huggingface/datasets/issues/4935/events | https://github.com/huggingface/datasets/issues/4935 | 1,363,226,736 | I_kwDODunzps5RQTBw | 4,935 | Dataset Viewer issue for ubuntu_dialogs_corpus | {
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"The dataset maintainers (https://huggingface.co/datasets/ubuntu_dialogs_corpus) decided to forbid the dataset from being downloaded automatically (https://huggingface.co/docs/datasets/v2.4.0/en/loading#manual-download), and the dataset viewer respects this.\r\nWe will try to improve the error display though. Thank... | 2022-09-06T12:41:50Z | 2022-09-06T12:51:25Z | 2022-09-06T12:51:25Z | {
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_No response_
### Description
_No response_
### Owner
_No response_ | {
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https://api.github.com/repos/huggingface/datasets/issues/7947 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7947/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7947/comments | https://api.github.com/repos/huggingface/datasets/issues/7947/events | https://github.com/huggingface/datasets/issues/7947 | 3,823,309,787 | I_kwDODunzps7j4xPb | 7,947 | MMLU get_dataset_config_names provides different lists of subsets in online and offline modes | {
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} | ### Describe the bug
When getting the config names of `cais/mmlu` in online mode, it provides the different subjects and `all` but in offline mode is provides `default` even with cached version of the dataset.
### Steps to reproduce the bug
1. First download dataset in online mode so that it is cached:
```
$ HF_DATA... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7636/comments | https://api.github.com/repos/huggingface/datasets/issues/7636/events | https://github.com/huggingface/datasets/issues/7636 | 3,170,878,167 | I_kwDODunzps68_8LX | 7,636 | "open" in globals()["__builtins__"], an error occurs: "TypeError: argument of type 'module' is not iterable" | {
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"@kuanyan9527 Your query is indeed valid. Following could be its reasoning:\n\nQuoting from https://stackoverflow.com/a/11181607:\n\"By default, when in the `__main__` module,` __builtins__` is the built-in module `__builtin__` (note: no 's'); when in any other module, `__builtins__` is an alias for the dictionary ... | 2025-06-24T08:09:39Z | 2025-07-10T04:13:16Z | null | null | NONE | [] | null | null | {
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} | When I run the following code, an error occurs: "TypeError: argument of type 'module' is not iterable"
```python
print("open" in globals()["__builtins__"])
```
Traceback (most recent call last):
File "./main.py", line 2, in <module>
print("open" in globals()["__builtins__"])
^^^^^^^^^^^^^^^^^^^^^^
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https://api.github.com/repos/huggingface/datasets/issues/876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/876/comments | https://api.github.com/repos/huggingface/datasets/issues/876/events | https://github.com/huggingface/datasets/issues/876 | 748,195,104 | MDU6SXNzdWU3NDgxOTUxMDQ= | 876 | imdb dataset cannot be loaded | {
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"It looks like there was an issue while building the imdb dataset.\r\nCould you provide more information about your OS and the version of python and `datasets` ?\r\n\r\nAlso could you try again with \r\n```python\r\ndataset = datasets.load_dataset(\"imdb\", split=\"train\", download_mode=\"force_redownload\")\r\n``... | 2020-11-22T08:24:43Z | 2024-05-10T03:03:29Z | 2020-12-24T17:38:47Z | null | CONTRIBUTOR | [] | null | null | {
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I am trying to load the imdb train dataset
`dataset = datasets.load_dataset("imdb", split="train")`
getting following errors, thanks for your help
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/... | {
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https://api.github.com/repos/huggingface/datasets/issues/7999 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7999/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7999/comments | https://api.github.com/repos/huggingface/datasets/issues/7999/events | https://github.com/huggingface/datasets/issues/7999 | 3,915,367,642 | I_kwDODunzps7pX8Ta | 7,999 | Too many dataloader workers: 4 (max is dataset.num_shards=3). Stopping 1 dataloader workers. | {
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"Hi, thanks for the clear question and code snippet!\n\nFrom my understanding, **hf_dataset.num_shards** represents the number of actual iterable partitions that the streaming dataset can be read from in parallel. This is not the same as the number of underlying Parquet files—many files can be grouped into a much s... | 2026-02-09T09:26:37Z | 2026-02-15T14:25:56Z | null | null | NONE | [] | null | null | {
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I’m working on training with a large-scale dataset (100+ Parquet files) using lazy loading, and I’m struggling to understand/optimize the num_shards setting— in the lerobot repo: streaming_datasets.py:
```
from datasets import load_dataset
self.hf_dataset: datasets.IterableDataset = load_dataset(
self.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4287/comments | https://api.github.com/repos/huggingface/datasets/issues/4287/events | https://github.com/huggingface/datasets/issues/4287 | 1,226,806,652 | I_kwDODunzps5JH5V8 | 4,287 | "NameError: name 'faiss' is not defined" on `.add_faiss_index` when `device` is not None | {
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"So I managed to solve this by adding a missing `import faiss` in the `@staticmethod` defined in https://github.com/huggingface/datasets/blob/f51b6994db27ea69261ef919fb7775928f9ec10b/src/datasets/search.py#L305, triggered from https://github.com/huggingface/datasets/blob/f51b6994db27ea69261ef919fb7775928f9ec10b/src... | 2022-05-05T15:09:45Z | 2022-05-10T13:53:19Z | 2022-05-10T13:53:19Z | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
When using `datasets` to calculate the FAISS indices of a dataset, the exception `NameError: name 'faiss' is not defined` is triggered when trying to calculate those on a device (GPU), so `.add_faiss_index(..., device=0)` fails with that exception.
All that assuming that `datasets` is properly... | {
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https://api.github.com/repos/huggingface/datasets/issues/211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/211/comments | https://api.github.com/repos/huggingface/datasets/issues/211/events | https://github.com/huggingface/datasets/issues/211 | 626,565,994 | MDU6SXNzdWU2MjY1NjU5OTQ= | 211 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type | {
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"Here the full error trace:\r\n\r\n```\r\nArrowInvalid Traceback (most recent call last)\r\n<ipython-input-1-7aaf3f011358> in <module>\r\n 1 import nlp\r\n 2 ds = nlp.load_dataset(\"trivia_qa\", \"rc\", split=\"validation[:1%]\") # this might take 2.3 min to download but it's... | 2020-05-28T14:38:14Z | 2020-07-23T10:15:16Z | 2020-07-23T10:15:16Z | {
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```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to n... | {
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https://api.github.com/repos/huggingface/datasets/issues/3093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3093/comments | https://api.github.com/repos/huggingface/datasets/issues/3093/events | https://github.com/huggingface/datasets/issues/3093 | 1,027,262,124 | I_kwDODunzps49Osas | 3,093 | Error loading json dataset with multiple splits if keys in nested dicts have a different order | {
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"Hi, \r\n\r\neven Pandas, which is less strict compared to PyArrow when it comes to reading JSON, doesn't support different orderings:\r\n```python\r\nimport io\r\nimport pandas as pd\r\n\r\ns = \"\"\"\r\n{\"a\": {\"c\": 8, \"b\": 5}}\r\n{\"a\": {\"b\": 7, \"c\": 6}}\r\n\"\"\"\r\n\r\nbuffer = io.StringIO(s)\r\ndf =... | 2021-10-15T09:33:25Z | 2022-04-10T14:06:29Z | 2022-04-10T14:06:29Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Loading a json dataset with multiple splits that have nested dicts with keys in different order results in the error below.
If the keys in the nested dicts always have the same order or even if you just load a single split in which the nested dicts don't have the same order, everything works fin... | {
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https://api.github.com/repos/huggingface/datasets/issues/814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/814/comments | https://api.github.com/repos/huggingface/datasets/issues/814/events | https://github.com/huggingface/datasets/issues/814 | 738,500,443 | MDU6SXNzdWU3Mzg1MDA0NDM= | 814 | Joining multiple datasets | {
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"found a solution here https://discuss.pytorch.org/t/train-simultaneously-on-two-datasets/649/35, closed for now, thanks "
] | 2020-11-08T16:19:30Z | 2020-11-08T19:38:48Z | 2020-11-08T19:38:48Z | null | NONE | [] | null | null | {
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I have multiple iterative datasets from your library with different size and I want to join them in a way that each datasets is sampled equally, so smaller datasets more, larger one less, could you tell me how to implement this in pytorch? thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/6246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6246/comments | https://api.github.com/repos/huggingface/datasets/issues/6246/events | https://github.com/huggingface/datasets/issues/6246 | 1,899,848,414 | I_kwDODunzps5xPWLe | 6,246 | Add new column to dataset | {
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"I think it's an issue with the code.\r\n\r\nSpecifically:\r\n```python\r\ndataset = dataset['train'].add_column(\"/workspace/data\", new_column)\r\n```\r\n\r\nNow `dataset` is the train set with a new column. \r\nTo fix this, you can do:\r\n\r\n```python\r\ndataset['train'] = dataset['train'].add_column(\"/workspa... | 2023-09-17T16:59:48Z | 2023-09-18T16:20:09Z | 2023-09-18T16:20:09Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | {
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https://api.github.com/repos/huggingface/datasets/issues/3728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3728/comments | https://api.github.com/repos/huggingface/datasets/issues/3728/events | https://github.com/huggingface/datasets/issues/3728 | 1,139,303,614 | I_kwDODunzps5D6GS- | 3,728 | VoxPopuli | {
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"duplicate of https://github.com/huggingface/datasets/issues/2300"
] | 2022-02-15T23:04:55Z | 2022-02-16T18:49:12Z | 2022-02-16T18:49:12Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** VoxPopuli
- **Description:** A Large-Scale Multilingual Speech Corpus
- **Paper:** https://arxiv.org/pdf/2101.00390.pdf
- **Data:** https://github.com/facebookresearch/voxpopuli
- **Motivation:** one of the largest (if not the largest) multilingual speech corpus: 400K hours of multi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5143/comments | https://api.github.com/repos/huggingface/datasets/issues/5143/events | https://github.com/huggingface/datasets/issues/5143 | 1,416,837,186 | I_kwDODunzps5UczhC | 5,143 | DownloadManager Git LFS support | {
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"Hey ! Actually it works, just pass the right URL ;)\r\nThe URL must be the one with “/resolve/”\r\n\r\ne.g. https://huggingface.co/datasets/imagenet-1k/resolve/main/data/test_images.tar.gz\r\n\r\nYou can even pass a relative path to the dl_manager instead, like `dl_manager.download(\"data/test_images.tar.gz\")`",
... | 2022-10-20T15:29:29Z | 2022-10-20T17:17:10Z | 2022-10-20T17:17:10Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
Maybe I'm mistaken but the `DownloadManager` does not support extracting git lfs files out of the box right?
Using `dl_manager.download()` or `dl_manager.download_and_extract()` still returns lfs files afaict.
Is there a good way to write a dataset loading script for a repo with lfs files?
##... | {
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https://api.github.com/repos/huggingface/datasets/issues/6540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6540/comments | https://api.github.com/repos/huggingface/datasets/issues/6540/events | https://github.com/huggingface/datasets/issues/6540 | 2,058,965,157 | I_kwDODunzps56uVCl | 6,540 | Extreme inefficiency for `save_to_disk` when merging datasets | {
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"Concatenating datasets doesn't create any indices mapping - so flattening indices is not needed (unless you shuffle the dataset).\r\nCan you share the snippet of code you are using to merge your datasets and save them to disk ?"
] | 2023-12-29T00:44:35Z | 2023-12-30T15:05:48Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi, I tried to merge in total 22M sequences of data, where each sequence is of maximum length 2000. I found that merging these datasets and then `save_to_disk` is extremely slow because of flattening the indices. Wondering if you have any suggestions or guidance on this. Thank you very much!
###... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3610/comments | https://api.github.com/repos/huggingface/datasets/issues/3610/events | https://github.com/huggingface/datasets/issues/3610 | 1,109,777,314 | I_kwDODunzps5CJdui | 3,610 | Checksum error when trying to load amazon_review dataset | {
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"It is solved now"
] | 2022-01-20T21:20:32Z | 2022-01-21T13:22:31Z | 2022-01-21T13:22:31Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
I am getting the issue when trying to load dataset using
```
dataset = load_dataset("amazon_polarity")
```
## Expected results
dataset loaded
## Actual results
```
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https://api.github.com/repos/huggingface/datasets/issues/2176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2176/comments | https://api.github.com/repos/huggingface/datasets/issues/2176/events | https://github.com/huggingface/datasets/issues/2176 | 851,865,795 | MDU6SXNzdWU4NTE4NjU3OTU= | 2,176 | Converting a Value to a ClassLabel | {
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"Hi @nelson-liu!\r\nHere is what I do to convert a string to class label:\r\n\r\n```python\r\nfrom datasets import load_dataset, features\r\n\r\n\r\ndset = load_dataset(...)\r\ncol_name = \"the string column name\"\r\n\r\nclass_names = dset.unique(col_name)\r\nclass_feature = features.ClassLabel(names=sorted(class... | 2021-04-06T22:54:16Z | 2022-06-01T16:31:49Z | 2022-06-01T16:31:49Z | null | NONE | [] | null | null | {
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} | Hi!
In the docs for `cast`, it's noted that `For non-trivial conversion, e.g. string <-> ClassLabel you should use map() to update the Dataset.`
Would it be possible to have an example that demonstrates such a string <-> ClassLabel conversion using `map`? Thanks! | {
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