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https://api.github.com/repos/huggingface/datasets/issues/3659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3659/comments | https://api.github.com/repos/huggingface/datasets/issues/3659/events | https://github.com/huggingface/datasets/issues/3659 | 1,120,913,672 | I_kwDODunzps5Cz8kI | 3,659 | push_to_hub but preview not working | {
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"Hi @thomas-happify, please note that the preview may take some time before rendering the data.\r\n\r\nI've seen it is already working.\r\n\r\nI close this issue. Please feel free to reopen it if the problem arises again."
] | 2022-02-01T16:23:57Z | 2022-02-09T08:00:37Z | 2022-02-09T08:00:37Z | {
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} | ## Dataset viewer issue for '*happifyhealth/twitter_pnn*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/happifyhealth/twitter_pnn)*
I used
```
dataset.push_to_hub("happifyhealth/twitter_pnn")
```
but the preview is not working.
Am I the one who added this dataset ? Yes
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https://api.github.com/repos/huggingface/datasets/issues/6136 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6136/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6136/comments | https://api.github.com/repos/huggingface/datasets/issues/6136/events | https://github.com/huggingface/datasets/issues/6136 | 1,844,887,866 | I_kwDODunzps5t9sE6 | 6,136 | CI check_code_quality error: E721 Do not compare types, use `isinstance()` | {
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} | After latest release of `ruff` (https://pypi.org/project/ruff/0.0.284/), we get the following CI error:
```
src/datasets/utils/py_utils.py:689:12: E721 Do not compare types, use `isinstance()`
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/7510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7510/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7510/comments | https://api.github.com/repos/huggingface/datasets/issues/7510/events | https://github.com/huggingface/datasets/issues/7510 | 2,992,131,117 | I_kwDODunzps6yWEwt | 7,510 | Incompatibile dill version (0.3.9) in datasets 2.18.0 - 3.5.0 | {
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"Hi ! We can bump `dill` to 0.3.9 if we make sure it's deterministic and doesn't break the caching mechanism in `datasets`.\n\nWould you be interested in opening a PR ? Then we can run the CI to see if it works",
"Hi!. Yeah I can do it. Should I make any changes besides dill versions?",
"There are probably some... | 2025-04-14T07:22:44Z | 2025-09-15T08:37:49Z | 2025-09-15T08:37:49Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Datasets 2.18.0 - 3.5.0 has a dependency on dill < 0.3.9. This causes errors with dill >= 0.3.9.
Could you please take a look into it and make it compatible?
### Steps to reproduce the bug
1. Install setuptools >= 2.18.0
2. Install dill >=0.3.9
3. Run pip check
4. Output:
ERROR: pip's dependenc... | {
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https://api.github.com/repos/huggingface/datasets/issues/6359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6359/comments | https://api.github.com/repos/huggingface/datasets/issues/6359/events | https://github.com/huggingface/datasets/issues/6359 | 1,965,378,583 | I_kwDODunzps51JUwX | 6,359 | Stuck in "Resolving data files..." | {
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"Most likely, the data file inference logic is the problem here.\r\n\r\nYou can run the following code to verify this:\r\n```python\r\nimport time\r\nfrom datasets.data_files import get_data_patterns\r\nstart_time = time.time()\r\nget_data_patterns(\"/path/to/img_dir\")\r\nend_time = time.time()\r\nprint(f\"Elapsed... | 2023-10-27T12:01:51Z | 2025-03-09T02:18:19Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have an image dataset with 300k images, the size of image is 768 * 768.
When I run `dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')` in second time, it takes 50 minutes to finish "Resolving data files" part, what's going on in this part?
From my understa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4709/comments | https://api.github.com/repos/huggingface/datasets/issues/4709/events | https://github.com/huggingface/datasets/issues/4709 | 1,308,633,093 | I_kwDODunzps5OACgF | 4,709 | WMT21 & WMT22 | {
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"Hi ! That would be awesome to have them indeed, thanks for opening this issue\r\n\r\nI just added you to the WMT org on the HF Hub if you're interested in adding those datasets.\r\n\r\nFeel free to create a dataset repository for each dataset and upload the data files there :) preferably in ZIP archives instead of... | 2022-07-18T21:05:33Z | 2026-02-26T15:35:38Z | null | {
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} | ## Adding a Dataset
- **Name:** WMT21 & WMT22
- **Description:** We are going to have three tracks: two small tasks and a large task.
The small tracks evaluate translation between fairly related languages and English (all pairs). The large track uses 101 languages.
- **Paper:** /
- **Data:** https://statmt.org/wmt... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7226/comments | https://api.github.com/repos/huggingface/datasets/issues/7226/events | https://github.com/huggingface/datasets/issues/7226 | 2,586,920,351 | I_kwDODunzps6aMUWf | 7,226 | Add R as a How to use from the Polars (R) Library as an option | {
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} | ### Feature request
The boiler plate code to access a dataset via the hugging face file system is very useful. Please addd
## Add Polars (R) option
The equivailent code works, because the [Polars-R](https://github.com/pola-rs/r-polars) wrapper has hugging faces funcitonaliy as well.
```r
library(polars)
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https://api.github.com/repos/huggingface/datasets/issues/5354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5354/comments | https://api.github.com/repos/huggingface/datasets/issues/5354/events | https://github.com/huggingface/datasets/issues/5354 | 1,492,174,125 | I_kwDODunzps5Y8MUt | 5,354 | Consider using "Sequence" instead of "List" | {
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"Hi! Linking a comment to provide more info on the issue: https://stackoverflow.com/a/39458225. This means we should replace all (most of) the occurrences of `List` with `Sequence` in function signatures.\r\n\r\n@tranhd95 Would you be interested in submitting a PR?",
"Hi all! I tried to reproduce this issue and d... | 2022-12-12T15:39:45Z | 2026-05-20T17:45:03Z | null | {
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} | ### Feature request
Hi, please consider using `Sequence` type annotation instead of `List` in function arguments such as in [`Dataset.from_parquet()`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L1088). It leads to type checking errors, see below.
**How to reproduce**
```py
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https://api.github.com/repos/huggingface/datasets/issues/5675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5675/comments | https://api.github.com/repos/huggingface/datasets/issues/5675/events | https://github.com/huggingface/datasets/issues/5675 | 1,641,763,478 | I_kwDODunzps5h21KW | 5,675 | Filter datasets by language code | {
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"The dataset still can be found, if instead of using the search form you just enter the language code in the url, like https://huggingface.co/datasets?language=language:myv. \r\n\r\nBut of course having a more complete list of languages in the search form (or just a fallback to the language codes, if they are missi... | 2023-03-27T09:42:28Z | 2023-03-30T08:08:15Z | 2023-03-30T08:08:15Z | null | NONE | [] | null | null | {
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} | Hi! I use the language search field on https://huggingface.co/datasets
However, some of the datasets tagged by ISO language code are not accessible by this search form.
For example, [myv_ru_2022](https://huggingface.co/datasets/slone/myv_ru_2022) is has `myv` language tag but it is not included in Languages search fo... | {
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https://api.github.com/repos/huggingface/datasets/issues/667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/667/comments | https://api.github.com/repos/huggingface/datasets/issues/667/events | https://github.com/huggingface/datasets/issues/667 | 708,258,392 | MDU6SXNzdWU3MDgyNTgzOTI= | 667 | Loss not decrease with Datasets and Transformers | {
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"And I tested it on T5ForConditionalGeneration, that works no problem.",
"Hi did you manage to fix your issue ?\r\n\r\nIf so feel free to share your fix and close this thread"
] | 2020-09-24T15:14:43Z | 2021-01-01T20:01:25Z | 2021-01-01T20:01:25Z | null | NONE | [] | null | null | {
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The following script is used to fine-tune a BertForSequenceClassification model on SST2.
The script is adapted from [this colab](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) that presents an example of fine-tuning BertForQuestionAnswering using squad data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6126/comments | https://api.github.com/repos/huggingface/datasets/issues/6126/events | https://github.com/huggingface/datasets/issues/6126 | 1,839,675,320 | I_kwDODunzps5tpze4 | 6,126 | Private datasets do not load when passing token | {
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"Our CI did not catch this issue because with current implementation, stored token in `HfFolder` (which always exists) is used by default.",
"I can confirm this and have the same problem (and just went almost crazy because I couldn't figure out the source of this problem because on another computer everything wor... | 2023-08-07T15:06:47Z | 2023-08-08T15:16:23Z | 2023-08-08T15:16:23Z | {
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} | ### Describe the bug
Since the release of `datasets` 2.14, private/gated datasets do not load when passing `token`: they raise `EmptyDatasetError`.
This is a non-planned backward incompatible breaking change.
Note that private datasets do load if instead `download_config` is passed:
```python
from datasets i... | {
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https://api.github.com/repos/huggingface/datasets/issues/5156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5156/comments | https://api.github.com/repos/huggingface/datasets/issues/5156/events | https://github.com/huggingface/datasets/issues/5156 | 1,421,667,125 | I_kwDODunzps5UvOs1 | 5,156 | Unable to download dataset using Azure Data Lake Gen 2 | {
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"Hi ! From the `adlfs` docs, there are two filesystems you can use:\r\n> To use the Gen1 filesystem:\r\n> - known_implementations[‘adl’] = {‘class’: ‘adlfs.AzureDatalakeFileSystem’}\r\n> \r\n> To use the Gen2 filesystem:\r\n> - known_implementations[‘abfs’] = {‘class’: ‘adlfs.AzureBlobFileSystem’}\r\n\r\nIf I'm no... | 2022-10-25T00:43:18Z | 2024-02-15T09:48:36Z | 2022-11-17T23:37:08Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When using the DatasetBuilder method with the credentials for the cloud storage Azure Data Lake (adl) Gen2, the following error is showed:
```
Traceback (most recent call last):
File "download_hf_dataset.py", line 143, in <module>
main()
File "download_hf_dataset.py", line 102, in mai... | {
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https://api.github.com/repos/huggingface/datasets/issues/784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/784/comments | https://api.github.com/repos/huggingface/datasets/issues/784/events | https://github.com/huggingface/datasets/issues/784 | 733,700,463 | MDU6SXNzdWU3MzM3MDA0NjM= | 784 | Issue with downloading Wikipedia data for low resource language | {
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"Hello, maybe you could ty to use another date for the wikipedia dump (see the available [dates](https://dumps.wikimedia.org/jvwiki) here for `jv`) ?",
"@lhoestq\r\n\r\nI've tried `load_dataset('wikipedia', '20200501.zh', beam_runner='DirectRunner')` and got the same `FileNotFoundError` as @SamuelCahyawijaya.\r\n... | 2020-10-31T11:40:00Z | 2022-02-09T17:50:16Z | 2020-11-25T15:42:13Z | null | NONE | [] | null | null | {
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} | Hi, I tried to download Sundanese and Javanese wikipedia data with the following snippet
```
jv_wiki = datasets.load_dataset('wikipedia', '20200501.jv', beam_runner='DirectRunner')
su_wiki = datasets.load_dataset('wikipedia', '20200501.su', beam_runner='DirectRunner')
```
And I get the following error for these tw... | {
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https://api.github.com/repos/huggingface/datasets/issues/5098 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5098/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5098/comments | https://api.github.com/repos/huggingface/datasets/issues/5098/events | https://github.com/huggingface/datasets/issues/5098 | 1,404,058,518 | I_kwDODunzps5TsDuW | 5,098 | Classes label error when loading symbolic links using imagefolder | {
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"It can be solved temporarily by remove `resolve` in \r\nhttps://github.com/huggingface/datasets/blob/bef23be3d9543b1ca2da87ab2f05070201044ddc/src/datasets/data_files.py#L278",
"Hi, thanks for reporting and suggesting a fix! We still need to account for `.`/`..` in the file path, so a more robust fix would be `P... | 2022-10-11T06:10:58Z | 2022-11-14T14:40:20Z | 2022-11-14T14:40:20Z | {
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} | **Is your feature request related to a problem? Please describe.**
Like this: #4015
When there are **symbolic links** to pictures in the data folder, the parent folder name of the **real file** will be used as the class name instead of the parent folder of the symbolic link itself. Can you give an option to decide wh... | {
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https://api.github.com/repos/huggingface/datasets/issues/7322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7322/comments | https://api.github.com/repos/huggingface/datasets/issues/7322/events | https://github.com/huggingface/datasets/issues/7322 | 2,732,254,868 | I_kwDODunzps6i2uaU | 7,322 | ArrowInvalid: JSON parse error: Column() changed from object to array in row 0 | {
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"Hi ! `datasets` uses Arrow under the hood which expects each column and array to have fixed types that don't change across rows of a dataset, which is why we get this error. This dataset in particular doesn't have a format compatible with Arrow unfortunately. Don't hesitate to open a discussion or PR on HF to fix ... | 2024-12-11T08:41:39Z | 2025-07-15T13:06:55Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Encountering an error while loading the ```liuhaotian/LLaVA-Instruct-150K dataset```.
### Steps to reproduce the bug
```
from datasets import load_dataset
fw =load_dataset("liuhaotian/LLaVA-Instruct-150K")
```
Error:
```
ArrowInvalid Traceback (most recen... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3027 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3027/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3027/comments | https://api.github.com/repos/huggingface/datasets/issues/3027/events | https://github.com/huggingface/datasets/issues/3027 | 1,016,150,117 | I_kwDODunzps48kThl | 3,027 | Resolve data_files by split name | {
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"Awesome @lhoestq I like the proposal and it works great on my JSON community dataset. Here is the [log](https://gist.github.com/vblagoje/714babc325bcbdd5de579fd8e1648892). ",
"From my discussion with @borisdayma it would be more general the files match if their paths contains the split name - not only if the fil... | 2021-10-05T10:24:36Z | 2021-11-05T17:49:58Z | 2021-11-05T17:49:57Z | {
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} | This issue is about discussing the default behavior when someone loads a dataset that consists in data files. For example:
```python
load_dataset("lhoestq/demo1")
```
should return two splits "train" and "test" since the dataset repostiory is like
```
data/
├── train.csv
└── test.csv
```
Currently it returns ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2193/comments | https://api.github.com/repos/huggingface/datasets/issues/2193/events | https://github.com/huggingface/datasets/issues/2193 | 853,725,707 | MDU6SXNzdWU4NTM3MjU3MDc= | 2,193 | Filtering/mapping on one column is very slow | {
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"Hi ! Yes we are working on making `filter` significantly faster. You can look at related PRs here: #2060 #2178 \r\n\r\nI think you can expect to have the fast version of `filter` available next week.\r\n\r\nWe'll make it only select one column, and we'll also make the overall filtering operation way faster by avoi... | 2021-04-08T18:16:14Z | 2021-04-26T16:13:59Z | 2021-04-26T16:13:59Z | null | CONTRIBUTOR | [] | null | null | {
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I want to be able to _filter_ the dataset based on this `num_tokens` column, but even when I specify `input_colu... | {
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https://api.github.com/repos/huggingface/datasets/issues/2480 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2480/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2480/comments | https://api.github.com/repos/huggingface/datasets/issues/2480/events | https://github.com/huggingface/datasets/issues/2480 | 918,678,578 | MDU6SXNzdWU5MTg2Nzg1Nzg= | 2,480 | Set download/extracted paths configurable | {
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"For example to be able to send uncompressed and temp build files to another volume/partition, so that the user gets the minimal disk usage on their primary setup - and ends up with just the downloaded compressed data + arrow files, but outsourcing the huge files and building to another partition. e.g. on JZ there... | 2021-06-11T12:20:24Z | 2021-06-15T14:23:49Z | null | {
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} | As discussed with @stas00 and @lhoestq, setting these paths configurable may allow to overcome disk space limitation on different partitions/drives.
TODO:
- [x] Set configurable extracted datasets path: #2487
- [x] Set configurable downloaded datasets path: #2488
- [ ] Set configurable "incomplete" datasets path? | null | {
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https://api.github.com/repos/huggingface/datasets/issues/281 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/281/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/281/comments | https://api.github.com/repos/huggingface/datasets/issues/281/events | https://github.com/huggingface/datasets/issues/281 | 641,067,856 | MDU6SXNzdWU2NDEwNjc4NTY= | 281 | Private/sensitive data | {
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"Hi @MFreidank, you should already be able to load a dataset from local sources, indeed. (ping @lhoestq and @jplu)\r\n\r\nWe're also thinking about the ability to host private datasets on a hosted bucket with permission management, but that's further down the road.",
"Hi @MFreidank, it is possible to load a datas... | 2020-06-18T09:47:27Z | 2020-06-20T13:15:12Z | 2020-06-20T13:15:12Z | null | CONTRIBUTOR | [] | null | null | {
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Thanks for this fantastic library, it makes it very easy to do prototyping for NLP projects interchangeably between TF/Pytorch.
Unfortunately, there is data that cannot easily be shared publicly as it may contain sensitive information.
Is there support/a plan to support such data with NLP, e.g. by readin... | {
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https://api.github.com/repos/huggingface/datasets/issues/6942 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6942/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6942/comments | https://api.github.com/repos/huggingface/datasets/issues/6942/events | https://github.com/huggingface/datasets/issues/6942 | 2,329,562,382 | I_kwDODunzps6K2k0O | 6,942 | Import sorting is disabled by flake8 noqa directive after switching to ruff linter | {
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- #5519
import sorting was disabled in all files containing the `# flake8: noqa` directive
- https://github.com/astral-sh/ruff/issues/11679
We should re-enable import sorting on those files. | {
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https://api.github.com/repos/huggingface/datasets/issues/2842 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2842/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2842/comments | https://api.github.com/repos/huggingface/datasets/issues/2842/events | https://github.com/huggingface/datasets/issues/2842 | 980,725,899 | MDU6SXNzdWU5ODA3MjU4OTk= | 2,842 | always requiring the username in the dataset name when there is one | {
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"From what I can understand, you want the saved arrow file directory to have username as well instead of just dataset name if it was downloaded with the user prefix?",
"I don't think the user cares of how this is done, but the 2nd command should fail, IMHO, as its dataset name is invalid:\r\n```\r\n# first run\r\... | 2021-08-26T23:31:53Z | 2021-10-22T09:43:35Z | 2021-10-22T09:43:35Z | {
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} | Me and now another person have been bitten by the `datasets`'s non-strictness on requiring a dataset creator's username when it's due.
So both of us started with `stas/openwebtext-10k`, somewhere along the lines lost `stas/` and continued using `openwebtext-10k` and it all was good until we published the software an... | {
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https://api.github.com/repos/huggingface/datasets/issues/7387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7387/comments | https://api.github.com/repos/huggingface/datasets/issues/7387/events | https://github.com/huggingface/datasets/issues/7387 | 2,841,228,048 | I_kwDODunzps6pWbMQ | 7,387 | Dynamic adjusting dataloader sampling weight | {
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"You mean based on a condition that has to be checked on-the-fly during training ? Otherwise if you know in advance after how many samples you need to change the sampling you can simply concatenate the two mixes",
"Yes, like during training, if one data sample's prediction is consistently wrong, its sampling weig... | 2025-02-10T03:18:47Z | 2025-03-07T14:06:54Z | null | null | NONE | [] | null | null | {
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Thanks for your wonderful work! I'm wondering is there a way to dynamically adjust the sampling weight of each data in the dataset during training? Looking forward to your reply, thanks again. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/665/comments | https://api.github.com/repos/huggingface/datasets/issues/665/events | https://github.com/huggingface/datasets/issues/665 | 707,037,738 | MDU6SXNzdWU3MDcwMzc3Mzg= | 665 | runing dataset.map, it raises TypeError: can't pickle Tokenizer objects | {
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"Hi !\r\nIt works on my side with both the LongFormerTokenizer and the LongFormerTokenizerFast.\r\n\r\nWhich version of transformers/datasets are you using ?",
"transformers and datasets are both the latest",
"Then I guess you need to give us more informations on your setup (OS, python, GPU, etc) or a Google Co... | 2020-09-23T04:28:14Z | 2020-10-08T09:32:16Z | 2020-10-08T09:32:16Z | null | NONE | [] | null | null | {
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} | I load squad dataset. Then want to process data use following function with `Huggingface Transformers LongformerTokenizer`.
```
def convert_to_features(example):
# Tokenize contexts and questions (as pairs of inputs)
input_pairs = [example['question'], example['context']]
encodings = tokenizer.encode... | {
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https://api.github.com/repos/huggingface/datasets/issues/638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/638/comments | https://api.github.com/repos/huggingface/datasets/issues/638/events | https://github.com/huggingface/datasets/issues/638 | 704,146,956 | MDU6SXNzdWU3MDQxNDY5NTY= | 638 | GLUE/QQP dataset: NonMatchingChecksumError | {
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"Hi ! Sure I'll take a look"
] | 2020-09-18T07:09:10Z | 2020-09-18T11:37:07Z | 2020-09-18T11:37:07Z | null | CONTRIBUTOR | [] | null | null | {
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} | Hi @lhoestq , I know you are busy and there are also other important issues. But if this is easy to be fixed, I am shamelessly wondering if you can give me some help , so I can evaluate my models and restart with my developing cycle asap. 😚
datasets version: editable install of master at 9/17
`datasets.load_data... | {
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https://api.github.com/repos/huggingface/datasets/issues/237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/237/comments | https://api.github.com/repos/huggingface/datasets/issues/237/events | https://github.com/huggingface/datasets/issues/237 | 631,199,940 | MDU6SXNzdWU2MzExOTk5NDA= | 237 | Can't download MultiNLI | {
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"You should use `load_dataset('glue', 'mnli')`",
"Thanks! I thought I had to use the same code displayed in the live viewer:\r\n```python\r\n!pip install nlp\r\nfrom nlp import load_dataset\r\ndataset = load_dataset('multi_nli', 'plain_text')\r\n```\r\nYour suggestion works, even if then I got a different issue (... | 2020-06-04T23:05:21Z | 2020-06-06T10:51:34Z | 2020-06-06T10:51:34Z | null | CONTRIBUTOR | [] | null | null | {
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```python
dataset = load_dataset('multi_nli')
```
I get this long error:
```python
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-13-3b11f6be4cb9> in <m... | {
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https://api.github.com/repos/huggingface/datasets/issues/3621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3621/comments | https://api.github.com/repos/huggingface/datasets/issues/3621/events | https://github.com/huggingface/datasets/issues/3621 | 1,112,720,434 | I_kwDODunzps5CUsQy | 3,621 | Consider adding `ipywidgets` as a dependency. | {
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"Hi! We use `tqdm` to display progress bars, so I suggest you open this issue in their repo.",
"It depends on how you use `tqdm`, no? \r\n\r\nDoesn't this library import via; \r\n\r\n```\r\nfrom tqdm.notebook import tqdm\r\n```",
"Hi! Sorry for the late reply. We import `tqdm` as `from tqdm.auto import tqdm`, w... | 2022-01-24T14:27:11Z | 2022-02-24T09:04:36Z | 2022-02-24T09:04:36Z | null | NONE | [] | null | null | {
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} | When I install `datasets` in a fresh virtualenv with jupyterlab I always see this error.
```
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
```
It's a bit of a nuisance, because I need to run shut down the jupyterlab ser... | {
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https://api.github.com/repos/huggingface/datasets/issues/6187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6187/comments | https://api.github.com/repos/huggingface/datasets/issues/6187/events | https://github.com/huggingface/datasets/issues/6187 | 1,870,936,143 | I_kwDODunzps5vhDhP | 6,187 | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | {
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"Hi! You can load this dataset with:\r\n```python\r\ndata_files = {\r\n \"train\": \"/content/PUBHEALTH/train.tsv\",\r\n \"validation\": \"/content/PUBHEALTH/dev.tsv\",\r\n \"test\": \"/content/PUBHEALTH/test.tsv\",\r\n}\r\n\r\ntsv_datasets_reloaded = load_dataset(\"csv\", data_files=data_files, sep=\"\\t\... | 2023-08-29T05:49:56Z | 2023-08-29T16:21:45Z | null | null | NONE | [] | null | null | {
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```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-48-6a7b3e847019>](https://localhost:8080/#) in <cell line: 7>()
5 }
6
----> 7 csv_datasets_reloaded = load_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2878 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2878/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2878/comments | https://api.github.com/repos/huggingface/datasets/issues/2878/events | https://github.com/huggingface/datasets/issues/2878 | 990,093,316 | MDU6SXNzdWU5OTAwOTMzMTY= | 2,878 | NotADirectoryError: [WinError 267] During load_from_disk | {
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} | ## Describe the bug
Trying to load saved dataset or dataset directory from Amazon S3 on a Windows machine fails.
Performing the same operation succeeds on non-windows environment (AWS Sagemaker).
## Steps to reproduce the bug
```python
# Followed https://huggingface.co/docs/datasets/filesystems.html#loading-a-pr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7421/comments | https://api.github.com/repos/huggingface/datasets/issues/7421/events | https://github.com/huggingface/datasets/issues/7421 | 2,878,369,052 | I_kwDODunzps6rkG0c | 7,421 | DVC integration broken | {
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"Unfortunately `url` is a reserved argument in `fsspec.url_to_fs`, so ideally file system implementations like DVC should use another argument name to avoid this kind of errors"
] | 2025-02-25T13:14:31Z | 2025-03-03T17:42:02Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
The DVC integration seems to be broken.
Followed this guide: https://dvc.org/doc/user-guide/integrations/huggingface
### Steps to reproduce the bug
#### Script to reproduce
~~~python
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="dvc://workshop/satellite-d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1854 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1854/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1854/comments | https://api.github.com/repos/huggingface/datasets/issues/1854/events | https://github.com/huggingface/datasets/issues/1854 | 805,204,397 | MDU6SXNzdWU4MDUyMDQzOTc= | 1,854 | Feature Request: Dataset.add_item | {
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"Hi @sshleifer.\r\n\r\nI am not sure of understanding the need of the `add_item` approach...\r\n\r\nBy just reading your \"Desired API\" section, I would say you could (nearly) get it with a 1-column Dataset:\r\n```python\r\ndata = {\"input_ids\": [np.array([4,4,2]), np.array([8,6,5,5,2]), np.array([3,3,31,5])]}\r\... | 2021-02-10T06:06:00Z | 2021-04-23T10:01:30Z | 2021-04-23T10:01:30Z | {
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https://api.github.com/repos/huggingface/datasets/issues/911 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/911/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/911/comments | https://api.github.com/repos/huggingface/datasets/issues/911/events | https://github.com/huggingface/datasets/issues/911 | 752,806,215 | MDU6SXNzdWU3NTI4MDYyMTU= | 911 | datasets module not found | {
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"nvm, I'd made an assumption that the library gets installed with transformers. "
] | 2020-11-29T01:24:15Z | 2020-11-29T14:33:09Z | 2020-11-29T14:33:09Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6856 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6856/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6856/comments | https://api.github.com/repos/huggingface/datasets/issues/6856/events | https://github.com/huggingface/datasets/issues/6856 | 2,274,828,933 | I_kwDODunzps6HlyKF | 6,856 | CI fails on Windows for test_delete_from_hub and test_xgetsize_private due to new-line character | {
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"After investigation, I have found that when a local file is uploaded to the Hub, the new line character is no longer transformed to \"\\n\": on Windows machine now it is kept as \"\\r\\n\".\r\n\r\nAny idea why this changed?\r\nCC: @lhoestq "
] | 2024-05-02T07:37:03Z | 2024-05-02T11:43:01Z | 2024-05-02T11:43:01Z | {
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} | CI fails on Windows for test_delete_from_hub after the merge of:
- #6820
This is weird because the CI was green in the PR branch before merging to main.
```
FAILED tests/test_hub.py::test_delete_from_hub - AssertionError: assert [CommitOperat...\r\n---\r\n')] == [CommitOperat...in/*\n---\n')]
At index 1 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/143/comments | https://api.github.com/repos/huggingface/datasets/issues/143/events | https://github.com/huggingface/datasets/issues/143 | 619,457,641 | MDU6SXNzdWU2MTk0NTc2NDE= | 143 | ArrowTypeError in squad metrics | {
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"There was an issue in the format, thanks.\r\nNow you can do\r\n```python3\r\nsquad_dset = nlp.load_dataset(\"squad\")\r\nsquad_metric = nlp.load_metric(\"/Users/quentinlhoest/Desktop/hf/nlp-bis/metrics/squad\")\r\npredictions = [\r\n {\"id\": v[\"id\"], \"prediction_text\": v[\"answers\"][\"text\"][0]} # take ... | 2020-05-16T12:06:37Z | 2020-05-22T13:38:52Z | 2020-05-22T13:36:48Z | null | CONTRIBUTOR | [] | null | null | {
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```
ArrowTypeError: Could not convert [{'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}] with type list: was not a dict, tuple, or recognized null value for conversion to struct type
```
This is how my predictions and references lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/2285 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2285/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2285/comments | https://api.github.com/repos/huggingface/datasets/issues/2285/events | https://github.com/huggingface/datasets/issues/2285 | 871,005,236 | MDU6SXNzdWU4NzEwMDUyMzY= | 2,285 | Help understanding how to build a dataset for language modeling as with the old TextDataset | {
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"\r\nI received an answer for this question on the HuggingFace Datasets forum by @lhoestq\r\n\r\nHi !\r\n\r\nIf you want to tokenize line by line, you can use this:\r\n\r\n```\r\nmax_seq_length = 512\r\nnum_proc = 4\r\n\r\ndef tokenize_function(examples):\r\n# Remove empty lines\r\nexamples[\"text\"] = [line for li... | 2021-04-29T13:16:45Z | 2021-05-19T07:22:45Z | 2021-05-19T07:22:39Z | null | NONE | [] | null | null | {
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I am trying to load a custom dataset that I will then use for language modeling. The dataset consists of a text file that has a whole document in each line, meaning that each line overpasses the normal 512 tokens limit of most tokenizers.
I would like to understand what is the process to build a text datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/4271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4271/comments | https://api.github.com/repos/huggingface/datasets/issues/4271/events | https://github.com/huggingface/datasets/issues/4271 | 1,224,404,403 | I_kwDODunzps5I-u2z | 4,271 | A typo in docs of datasets.disable_progress_bar | {
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"Hi! Thanks for catching and reporting the typo, a PR has been opened to fix it :)"
] | 2022-05-03T17:44:56Z | 2022-05-04T06:58:35Z | 2022-05-04T06:58:35Z | {
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in the docs of V2.1.0 datasets.disable_progress_bar, we should replace "enable" with "disable". | {
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https://api.github.com/repos/huggingface/datasets/issues/2919 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2919/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2919/comments | https://api.github.com/repos/huggingface/datasets/issues/2919/events | https://github.com/huggingface/datasets/issues/2919 | 997,127,487 | I_kwDODunzps47bvU_ | 2,919 | Unwanted progress bars when accessing examples | {
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"doing a patch release now :)"
] | 2021-09-15T14:05:10Z | 2021-09-15T17:21:49Z | 2021-09-15T17:18:23Z | {
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```python
In [1]: import datasets as ds
In [2]: d = ds.Dataset.from_dict({"a": [0, 1, 2]}).with_format("torch") ... | {
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https://api.github.com/repos/huggingface/datasets/issues/382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/382/comments | https://api.github.com/repos/huggingface/datasets/issues/382/events | https://github.com/huggingface/datasets/issues/382 | 655,290,482 | MDU6SXNzdWU2NTUyOTA0ODI= | 382 | 1080 | {
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https://api.github.com/repos/huggingface/datasets/issues/6272 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6272/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6272/comments | https://api.github.com/repos/huggingface/datasets/issues/6272/events | https://github.com/huggingface/datasets/issues/6272 | 1,920,831,487 | I_kwDODunzps5yfY__ | 6,272 | Duplicate `data_files` when named `<split>/<split>.parquet` | {
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"Also reported in https://github.com/huggingface/datasets/issues/6259",
"I think it's best to drop duplicates with a `set` (as a temporary fix) and improve the patterns when/if https://github.com/fsspec/filesystem_spec/pull/1382 gets merged. @lhoestq Do you have some other ideas?",
"Alternatively we could just... | 2023-10-01T15:43:56Z | 2024-03-15T15:22:05Z | 2024-03-15T15:22:05Z | null | MEMBER | [] | null | null | {
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} | e.g. with `u23429/stock_1_minute_ticker`
```ipython
In [1]: from datasets import *
In [2]: b = load_dataset_builder("u23429/stock_1_minute_ticker")
Downloading readme: 100%|██████████████████████████| 627/627 [00:00<00:00, 246kB/s]
In [3]: b.config.data_files
Out[3]:
{NamedSplit('train'): ['hf://datasets/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5/comments | https://api.github.com/repos/huggingface/datasets/issues/5/events | https://github.com/huggingface/datasets/issues/5 | 600,295,889 | MDU6SXNzdWU2MDAyOTU4ODk= | 5 | ValueError when a split is empty | {
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"To fix this I propose to modify only the file `arrow_reader.py` with few updates. First update, the following method:\r\n```python\r\ndef _make_file_instructions_from_absolutes(\r\n name,\r\n name2len,\r\n absolute_instructions,\r\n):\r\n \"\"\"Returns the files instructions from the absolu... | 2020-04-15T13:25:13Z | 2020-04-29T09:23:05Z | 2020-04-29T09:23:05Z | null | CONTRIBUTOR | [] | null | null | {
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} | When a split is empty either TEST, VALIDATION or TRAIN I get the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jplu/dev/jplu/datasets/src/nlp/load.py", line 295, in load
ds = dbuilder.as_dataset(**as_dataset_kwargs)
File "/home/jplu/dev/jplu/data... | {
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https://api.github.com/repos/huggingface/datasets/issues/4456 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4456/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4456/comments | https://api.github.com/repos/huggingface/datasets/issues/4456/events | https://github.com/huggingface/datasets/issues/4456 | 1,263,241,449 | I_kwDODunzps5LS4jp | 4,456 | Workflow for Tabular data | {
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"I use below to load a dataset:\r\n```\r\ndataset = datasets.load_dataset(\"scikit-learn/auto-mpg\")\r\ndf = pd.DataFrame(dataset[\"train\"])\r\n```\r\nTBH as said, tabular folk split their own dataset, they sometimes have two splits, sometimes three. Maybe somehow avoiding it for tabular datasets might be good for... | 2022-06-07T12:48:22Z | 2023-03-06T08:53:55Z | null | null | MEMBER | [] | null | null | {
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For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array of features and y an arra... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4548/comments | https://api.github.com/repos/huggingface/datasets/issues/4548/events | https://github.com/huggingface/datasets/issues/4548 | 1,282,218,096 | I_kwDODunzps5MbRhw | 4,548 | Metadata.jsonl for Imagefolder is ignored if it's in a parent directory to the splits directories/do not have "{split}_" prefix | {
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"I agree it would be nice to support this. It doesn't fit really well in the current data_files.py, where files of each splits are separated in different folder though, maybe we have to modify a bit the logic here. \r\n\r\nOne idea would be to extend `get_patterns_in_dataset_repository` and `get_patterns_locally` t... | 2022-06-23T10:58:57Z | 2022-06-30T10:15:32Z | 2022-06-30T10:15:32Z | {
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This happens when a directory is structured like as follows:
```
train/
file_1.jpg
file_2.jpg
test/
file_3.jpg
file_4.jpg
metadata.jsonl
```
or like as follows:... | {
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https://api.github.com/repos/huggingface/datasets/issues/1591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1591/comments | https://api.github.com/repos/huggingface/datasets/issues/1591/events | https://github.com/huggingface/datasets/issues/1591 | 769,383,714 | MDU6SXNzdWU3NjkzODM3MTQ= | 1,591 | IWSLT-17 Link Broken | {
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"Sorry, this is a duplicate of #1287. Not sure why it didn't come up when I searched `iwslt` in the issues list.",
"Closing this since its a duplicate"
] | 2020-12-17T00:46:42Z | 2020-12-18T08:06:36Z | 2020-12-18T08:05:28Z | null | NONE | [] | null | null | {
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FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnmted//texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/668/comments | https://api.github.com/repos/huggingface/datasets/issues/668/events | https://github.com/huggingface/datasets/issues/668 | 708,310,956 | MDU6SXNzdWU3MDgzMTA5NTY= | 668 | OverflowError when slicing with an array containing negative ids | {
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from datasets import Dataset
d = ds.Dataset.from_dict({"a": range(10)})
print(d[0])
# {'a': 0}
print(d[-1])
# {'a': 9}
print(d[[0, -1]])
# OverflowError
```
results in
```
---------------------------------------------------------------------------
OverflowError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4138/comments | https://api.github.com/repos/huggingface/datasets/issues/4138/events | https://github.com/huggingface/datasets/issues/4138 | 1,199,291,730 | I_kwDODunzps5He71S | 4,138 | Incorrect Russian filenames encoding after extraction by datasets.DownloadManager.download_and_extract() | {
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"To reproduce:\r\n\r\n```python\r\n>>> import datasets\r\n>>> datasets.get_dataset_split_names('MalakhovIlya/RuREBus', config_name='raw_txt')\r\nTraceback (most recent call last):\r\n File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 280, in get_dataset_... | 2022-04-11T02:07:13Z | 2022-04-19T03:15:46Z | 2022-04-16T15:46:29Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue for 'MalakhovIlya/RuREBus'
**Link:** https://huggingface.co/datasets/MalakhovIlya/RuREBus
**Description**
Using os.walk(topdown=False) in DatasetBuilder causes following error:
Status code: 400
Exception: TypeError
Message: xwalk() got an unexpected keyword argument 'topdow... | {
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https://api.github.com/repos/huggingface/datasets/issues/257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/257/comments | https://api.github.com/repos/huggingface/datasets/issues/257/events | https://github.com/huggingface/datasets/issues/257 | 635,620,979 | MDU6SXNzdWU2MzU2MjA5Nzk= | 257 | Tokenizer pickling issue fix not landed in `nlp` yet? | {
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"Yes, the new release of tokenizers solves this and should be out soon.\r\nIn the meantime, you can install it with `pip install tokenizers==0.8.0-dev2`",
"If others run into this issue, a quick fix is to use python 3.6 instead of 3.7+. Serialization differences between the 3rd party `dataclasses` package for 3.6... | 2020-06-09T17:12:34Z | 2020-06-10T21:45:32Z | 2020-06-09T17:26:53Z | null | NONE | [] | null | null | {
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```
dataset = nlp.load_dataset('cos_e')
tokenizer = GPT2TokenizerFast.from_pretrained('gpt2', cache_dir=cache_dir)
for split in datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/4533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4533/comments | https://api.github.com/repos/huggingface/datasets/issues/4533/events | https://github.com/huggingface/datasets/issues/4533 | 1,277,211,490 | I_kwDODunzps5MILNi | 4,533 | Timestamp not returned as datetime objects in streaming mode | {
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```python
>>> from datasets import load_dataset
>>> dataset = load_dataset("ett", name="h2", split="test", streaming=True)
>>> d = next(iter(dataset))
>>> d['start']
Timestamp('2016-07-01 00:00:00')
```
while loading in non-... | {
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https://api.github.com/repos/huggingface/datasets/issues/4839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4839/comments | https://api.github.com/repos/huggingface/datasets/issues/4839/events | https://github.com/huggingface/datasets/issues/4839 | 1,337,206,377 | I_kwDODunzps5PtCZp | 4,839 | ImageFolder dataset builder does not read the validation data set if it is named as "val" | {
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"#take"
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Currently, the `'imagefolder'` data set builder in [`load_dataset()`](https://github.com/huggingface/datasets/blob/2.4.0/src/datasets/load.py#L1541] ) only [supports](https://github.com/huggingface/datasets/blob/6c609a322da994de149b2c938f19439bca9940... | {
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https://api.github.com/repos/huggingface/datasets/issues/4507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4507/comments | https://api.github.com/repos/huggingface/datasets/issues/4507/events | https://github.com/huggingface/datasets/issues/4507 | 1,272,615,932 | I_kwDODunzps5L2pP8 | 4,507 | How to let `load_dataset` return a `Dataset` instead of `DatasetDict` in customized loading script | {
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"Hi @liyucheng09.\r\n\r\nUsers can pass the `split` parameter to `load_dataset`. For example, if your split name is \"train\",\r\n```python\r\nds = load_dataset(\"dataset_name\", split=\"train\")\r\n```\r\nwill return a `Dataset` instance.",
"@albertvillanova Thanks! I can't believe I didn't know this feature til... | 2022-06-15T18:56:34Z | 2022-06-16T10:40:08Z | 2022-06-16T10:40:08Z | null | NONE | [] | null | null | {
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} | If the dataset does not need splits, i.e., no training and validation split, more like a table. How can I let the `load_dataset` function return a `Dataset` object directly rather than return a `DatasetDict` object with only one key-value pair.
Or I can paraphrase the question in the following way: how to skip `_spl... | {
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https://api.github.com/repos/huggingface/datasets/issues/6476 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6476/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6476/comments | https://api.github.com/repos/huggingface/datasets/issues/6476/events | https://github.com/huggingface/datasets/issues/6476 | 2,028,018,596 | I_kwDODunzps544Ruk | 6,476 | CI on windows is broken: PermissionError | {
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```
FAILED tests/test_load.py::test_loading_from_the_datasets_hub - NotADirectoryError: [WinError 267] The directory name is invalid: 'C:\\Users\\RUNNER~1\\AppData\\Local\\Temp\\tmpfcnps56i\\hf-internal-testing___dataset_with_script\... | {
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https://api.github.com/repos/huggingface/datasets/issues/2040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2040/comments | https://api.github.com/repos/huggingface/datasets/issues/2040/events | https://github.com/huggingface/datasets/issues/2040 | 830,169,387 | MDU6SXNzdWU4MzAxNjkzODc= | 2,040 | ValueError: datasets' indices [1] come from memory and datasets' indices [0] come from disk | {
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"Hi ! To help me understand the situation, can you print the values of `load_from_disk(PATH_DATA_CLS_A)['train']._indices_data_files` and `load_from_disk(PATH_DATA_CLS_B)['train']._indices_data_files` ?\r\nThey should both have a path to an arrow file\r\n\r\nAlso note that from #2025 concatenating datasets will no... | 2021-03-12T14:27:00Z | 2021-08-04T18:00:43Z | 2021-08-04T18:00:43Z | null | NONE | [] | null | null | {
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I am trying to concat two datasets that I've previously saved to disk via `save_to_disk()` like so (note that both are saved as `DataDict`, `PATH_DATA_CLS_*` are `Path`-objects):
```python
concatenate_datasets([load_from_disk(PATH_DATA_CLS_A)['train'], load_from_disk(PATH_DATA_CLS_B)['train']])
```
Yie... | {
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https://api.github.com/repos/huggingface/datasets/issues/7685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7685/comments | https://api.github.com/repos/huggingface/datasets/issues/7685/events | https://github.com/huggingface/datasets/issues/7685 | 3,236,979,340 | I_kwDODunzps7A8GKM | 7,685 | Inconsistent range request behavior for parquet REST api | {
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"This is a weird bug, is it a range that is supposed to be satisfiable ? I mean, is it on the boundraries ?\n\nLet me know if you'r e still having the issue, in case it was just a transient bug",
"@lhoestq yes the ranges are supposed to be satisfiable, and _sometimes_ they are. \n\nThe head requests show that it ... | 2025-07-16T18:39:44Z | 2025-08-11T08:16:54Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
First off, I do apologize if this is not the correct repo for submitting this issue. Please direct me to another one if it's more appropriate elsewhere.
The datasets rest api is inconsistently giving `416 Range Not Satisfiable` when using a range request to get portions of the parquet files. Mor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2061/comments | https://api.github.com/repos/huggingface/datasets/issues/2061/events | https://github.com/huggingface/datasets/issues/2061 | 832,596,228 | MDU6SXNzdWU4MzI1OTYyMjg= | 2,061 | Cannot load udpos subsets from xtreme dataset using load_dataset() | {
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"@lhoestq Adding \"_\" to the class labels in the dataset script will fix the issue.\r\n\r\nThe bigger issue IMO is that the data files are in conll format, but the examples are tokens, not sentences.",
"Hi ! Thanks for reporting @adzcodez \r\n\r\n\r\n> @lhoestq Adding \"_\" to the class labels in the dataset scr... | 2021-03-16T09:32:13Z | 2021-06-18T11:54:11Z | 2021-06-18T11:54:10Z | null | NONE | [] | null | null | {
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I am trying to load the udpos English subset from xtreme dataset, but this faces an error during loading. I am using datasets v1.4.1, pip install. I have tried with other udpos languages which also fail, though loading a different subset altogether (such as XNLI) has no issue. I have also tried on Colab and ... | {
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https://api.github.com/repos/huggingface/datasets/issues/207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/207/comments | https://api.github.com/repos/huggingface/datasets/issues/207/events | https://github.com/huggingface/datasets/issues/207 | 625,932,200 | MDU6SXNzdWU2MjU5MzIyMDA= | 207 | Remove test set from NLP viewer | {
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"~is the viewer also open source?~\r\n[is a streamlit app!](https://docs.streamlit.io/en/latest/getting_started.html)",
"Appears that [two thirds of those polled on Twitter](https://twitter.com/srush_nlp/status/1265734497632477185) are in favor of _some_ mechanism for averting eyeballs from the test data.",
"We... | 2020-05-27T18:32:07Z | 2022-02-10T13:17:45Z | 2022-02-10T13:17:45Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1849/comments | https://api.github.com/repos/huggingface/datasets/issues/1849/events | https://github.com/huggingface/datasets/issues/1849 | 804,292,971 | MDU6SXNzdWU4MDQyOTI5NzE= | 1,849 | Add TIMIT | {
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"@patrickvonplaten Could you please help me with how the output text has to be represented in the data? TIMIT has Words, Phonemes and texts. Also has lot on info on the speaker and the dialect. Could you please help me? An example of how to arrange it would be super helpful!\r\n\r\n",
"Hey @vrindaprabhu - sure I'... | 2021-02-09T07:29:41Z | 2021-03-15T05:59:37Z | 2021-03-15T05:59:37Z | null | CONTRIBUTOR | [] | null | null | {
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- **Name:** *TIMIT*
- **Description:** *The TIMIT corpus of read speech has been designed to provide speech data for the acquisition of acoustic-phonetic knowledge and for the development and evaluation of automatic speech recognition systems*
- **Paper:** *Homepage*: http://groups.inf.ed.ac.uk... | {
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https://api.github.com/repos/huggingface/datasets/issues/418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/418/comments | https://api.github.com/repos/huggingface/datasets/issues/418/events | https://github.com/huggingface/datasets/issues/418 | 661,914,873 | MDU6SXNzdWU2NjE5MTQ4NzM= | 418 | Addition of google drive links to dl_manager | {
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"I think the problem is the way you wrote your urls. Try the following structure to see `https://drive.google.com/uc?export=download&id=your_file_id` . \r\n\r\n@lhoestq ",
"Oh sorry, I think `_get_drive_url` is doing that. \r\n\r\nHave you tried to use `dl_manager.download_and_extract(_get_drive_url(_TRAIN_URL)`... | 2020-07-20T14:52:02Z | 2020-07-20T15:39:32Z | 2020-07-20T15:39:32Z | null | CONTRIBUTOR | [] | null | null | {
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This is the script for me:
```python
class EmoConfig(nlp.BuilderConfig):
"""BuilderConfig ... | {
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https://api.github.com/repos/huggingface/datasets/issues/650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/650/comments | https://api.github.com/repos/huggingface/datasets/issues/650/events | https://github.com/huggingface/datasets/issues/650 | 704,861,844 | MDU6SXNzdWU3MDQ4NjE4NDQ= | 650 | dummy data testing can't test datasets using `dl_manager.extract` in `_split_generators` | {
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"Hi :) \r\nIn your dummy data zip file you can just have `subset000.xz` as directories instead of compressed files.\r\nLet me know if it helps",
"Thanks for your comment @lhoestq ,\r\nJust for confirmation, changing dummy data like this won't make dummy test test the functionality to extract `subsetxxx.xz` but ac... | 2020-09-19T11:07:03Z | 2020-09-22T11:54:10Z | 2020-09-22T11:54:09Z | null | CONTRIBUTOR | [] | null | null | {
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```
openwebtext.tar.xz
|__ openwebtext
|__subset000.xz
| |__ ....txt
| |__ ....txt
| ...
|__ subset001.xz
|
....
```
So I wrote `openwebtext.py` like this
```
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https://api.github.com/repos/huggingface/datasets/issues/6104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6104/comments | https://api.github.com/repos/huggingface/datasets/issues/6104/events | https://github.com/huggingface/datasets/issues/6104 | 1,828,959,107 | I_kwDODunzps5tA7OD | 6,104 | HF Datasets data access is extremely slow even when in memory | {
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"Possibly related:\r\n- https://github.com/pytorch/pytorch/issues/22462"
] | 2023-07-31T11:12:19Z | 2023-08-01T11:22:43Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
Doing a simple `some_dataset[:10]` can take more than a minute.
Profiling it:
<img width="1280" alt="image" src="https://github.com/huggingface/datasets/assets/36224762/e641fb95-ff02-4072-9016-5416a65f75ab">
`some_dataset` is completely in memory with no disk cache.
This is proving fat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6823/comments | https://api.github.com/repos/huggingface/datasets/issues/6823/events | https://github.com/huggingface/datasets/issues/6823 | 2,250,775,569 | I_kwDODunzps6GKBwR | 6,823 | Loading problems of Datasets with a single shard | {
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"Has there been a PR to resolve this already?",
"The problem rises from using a wrong api.\r\nWhen loading a save_to_disk dataset, **load_from_disk** (instead of load_dataset) is what should be used.\r\n\r\n```python\r\nfrom datasets import load_from_disk\r\n\r\ndst.save_to_disk(\"cache\")\r\ndst = load_from_disk... | 2024-04-18T13:59:00Z | 2025-10-15T13:31:49Z | null | null | NONE | [] | null | null | {
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When saving a dataset on disk and it has a single shard it is not loaded as when it is saved in multiple shards. I installed the latest version of datasets via pip.
### Steps to reproduce the bug
The code below reproduces the behavior. All works well when the range of the loop is 10000 bu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5345/comments | https://api.github.com/repos/huggingface/datasets/issues/5345/events | https://github.com/huggingface/datasets/issues/5345 | 1,486,555,384 | I_kwDODunzps5Ymwj4 | 5,345 | Wrong dtype for array in audio features | {
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"After some more investigation, this is due to [this line of code](https://github.com/huggingface/datasets/blob/main/src/datasets/features/audio.py#L279). The function `sf.read(file)` should be updated to `sf.read(file, dtype=\"float32\")`\r\n\r\nIndeed, the default value in soundfile is `float64` ([see here](https... | 2022-12-09T11:05:11Z | 2023-02-10T14:39:28Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3561/comments | https://api.github.com/repos/huggingface/datasets/issues/3561/events | https://github.com/huggingface/datasets/issues/3561 | 1,098,328,870 | I_kwDODunzps5Bdysm | 3,561 | Cannot load ‘bookcorpusopen’ | {
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"The host of this copy of the dataset (https://the-eye.eu) is down and has been down for a good amount of time ([potentially months](https://www.reddit.com/r/Roms/comments/q82s15/theeye_downdied/))\r\n\r\nFinding this dataset is a little esoteric, as the original authors took down the official BookCorpus dataset so... | 2022-01-10T20:17:18Z | 2022-02-14T09:19:27Z | 2022-02-14T09:18:47Z | {
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} | ## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://the-eye.eu/public/AI/pile_pre... | {
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https://api.github.com/repos/huggingface/datasets/issues/7834 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7834/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7834/comments | https://api.github.com/repos/huggingface/datasets/issues/7834/events | https://github.com/huggingface/datasets/issues/7834 | 3,558,802,959 | I_kwDODunzps7UHwYP | 7,834 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc) | {
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"Hi ! `datasets` v4 uses `torchcodec` for audio decoding (previous versions were using `soundfile`). What is your `torchcodec` version ? Can you try other versions of `torchcodec` and see if it works ?",
"When I install `datasets` with `pip install datasets[audio]` it install this version of `torchcodec`:\n```\nN... | 2025-10-27T22:02:00Z | 2025-11-15T16:28:04Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure).
The crash happens even with a minimal code example and valid .wav file that can be read... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3941/comments | https://api.github.com/repos/huggingface/datasets/issues/3941/events | https://github.com/huggingface/datasets/issues/3941 | 1,171,132,709 | I_kwDODunzps5FzhEl | 3,941 | billsum dataset: Checksums didn't match for dataset source files: | {
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"Hi @XingxingZhang, thanks for reporting.\r\n\r\nThis was due to a change in Google Drive service:\r\n- #3786 \r\n\r\nWe have already fixed it:\r\n- #3787\r\n\r\nYou should update `datasets` version to at least 1.18.4:\r\n```shell\r\npip install -U datasets\r\n```\r\nAnd then force the redownload:\r\n```python\r\nl... | 2022-03-16T14:52:08Z | 2024-03-13T12:11:35Z | 2022-03-16T15:46:44Z | null | NONE | [] | null | null | {
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} | {
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} | ## Describe the bug
When loading the `billsum` dataset, it throws the exception "Checksums didn't match for dataset source files"
```
File "virtualenv_projects/codex/lib/python3.7/site-packages/datasets/utils/info_utils.py", line 40, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_u... | {
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https://api.github.com/repos/huggingface/datasets/issues/3044 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3044/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3044/comments | https://api.github.com/repos/huggingface/datasets/issues/3044/events | https://github.com/huggingface/datasets/issues/3044 | 1,020,869,778 | I_kwDODunzps482TyS | 3,044 | Inconsistent caching behaviour when using `Dataset.map()` with a `new_fingerprint` and `num_proc>1` | {
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"Following the discussion in #3045 if would be nice to have a way to let users have a nice experience with caching even if the function is not hashable.\r\n\r\nCurrently a workaround is to make the function picklable. This can be done by implementing a callable class instead, that can be pickled using by implementi... | 2021-10-08T09:07:10Z | 2025-03-04T07:16:00Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
Caching does not work when using `Dataset.map()` with:
1. a function that cannot be deterministically fingerprinted
2. `num_proc>1`
3. using a custom fingerprint set with the argument `new_fingerprint`.
This means that the dataset will be mapped with the function for each and every call, w... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7707/comments | https://api.github.com/repos/huggingface/datasets/issues/7707/events | https://github.com/huggingface/datasets/issues/7707 | 3,271,867,998 | I_kwDODunzps7DBL5e | 7,707 | load_dataset() in 4.0.0 failed when decoding audio | {
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"Hi @lhoestq . Would you please have a look at it? I use the official NV Docker ([NV official docker image](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch): `nvcr.io/nvidia/pytorch:25.06-py3`) on A100 and encountered this issue, but I don't know how to fix it.",
"Use !pip install -U datasets[audio]... | 2025-07-29T03:25:03Z | 2025-10-05T06:41:38Z | 2025-08-01T05:15:45Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Cannot decode audio data.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("hf-internal-testing/librispeech_asr_demo", "clean", split="validation")
print(dataset[0]["audio"]["array"])
```
1st round run, got
```
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https://api.github.com/repos/huggingface/datasets/issues/6159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6159/comments | https://api.github.com/repos/huggingface/datasets/issues/6159/events | https://github.com/huggingface/datasets/issues/6159 | 1,855,691,512 | I_kwDODunzps5um5r4 | 6,159 | Add `BoundingBox` feature | {
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"description": "New feature or request",
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"My proposal would look like this:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\nfrom datasets.features import Sequence, BboxFeature\r\n\r\n# load images along with boxes\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/path/to/folder\", split=\"train\")\r\n\r\n# map the boxes column to the appropr... | 2023-08-17T20:49:51Z | 2024-11-18T17:58:43Z | null | null | COLLABORATOR | [] | null | null | {
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} | ... to make working with object detection datasets easier. Currently, `Sequence(int_or_float, length=4)` can be used to represent this feature optimally (in the storage backend), so I only see this feature being useful if we make it work with the viewer. Also, bounding boxes usually come in 4 different formats (explain... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4912 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4912/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4912/comments | https://api.github.com/repos/huggingface/datasets/issues/4912/events | https://github.com/huggingface/datasets/issues/4912 | 1,355,078,864 | I_kwDODunzps5QxNzQ | 4,912 | datasets map() handles all data at a stroke and takes long time | {
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"Hi ! Interesting question ;)\r\n\r\n> Which is better? Process in map() or in data-collator\r\n\r\nAs you said, both can be used in practice: map() if you want to preprocess before training, or a data-collator (or the equivalent `dataset.set_transform`) if you want to preprocess on-the-fly during training. Both op... | 2022-08-30T02:25:56Z | 2023-04-06T09:43:58Z | 2022-09-06T09:23:35Z | null | NONE | [] | null | null | {
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} | **1. Background**
Huggingface datasets package advises using `map()` to process data in batches. In the example code on pretraining masked language model, they use `map()` to tokenize all data at a stroke before the train loop.
The corresponding code:
```
with accelerator.main_process_first():
tokenized_... | {
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https://api.github.com/repos/huggingface/datasets/issues/4238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4238/comments | https://api.github.com/repos/huggingface/datasets/issues/4238/events | https://github.com/huggingface/datasets/issues/4238 | 1,217,168,123 | I_kwDODunzps5IjIL7 | 4,238 | Dataset caching policy | {
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"Hi @loretoparisi, thanks for reporting.\r\n\r\nThere is an option to force the redownload of the data files (and thus not using previously download and cached data files): `load_dataset(..., download_mode=\"force_redownload\")`.\r\n\r\nPlease, let me know if this fixes your problem.\r\n\r\nI can confirm you that y... | 2022-04-27T10:42:11Z | 2022-04-27T16:29:25Z | 2022-04-27T16:28:50Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I cannot clean cache of my datasets files, despite I have updated the `csv` files on the repository [here](https://huggingface.co/datasets/loretoparisi/tatoeba-sentences). The original file had a line with bad characters, causing the following error
```
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https://api.github.com/repos/huggingface/datasets/issues/2104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2104/comments | https://api.github.com/repos/huggingface/datasets/issues/2104/events | https://github.com/huggingface/datasets/issues/2104 | 839,027,834 | MDU6SXNzdWU4MzkwMjc4MzQ= | 2,104 | Trouble loading wiki_movies | {
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"Hi ! `wiki_movies` was added in `datasets==1.2.0`. However it looks like you have `datasets==1.1.2`.\r\n\r\nTo use `wiki_movies`, please update `datasets` with\r\n```\r\npip install --upgrade datasets\r\n```",
"Thanks a lot! That solved it and I was able to upload a model trained on it as well :)"
] | 2021-03-23T18:59:54Z | 2022-03-30T08:22:58Z | 2022-03-30T08:22:58Z | null | NONE | [] | null | null | {
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} | Hello,
I am trying to load_dataset("wiki_movies") and it gives me this error -
`FileNotFoundError: Couldn't find file locally at wiki_movies/wiki_movies.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/wiki_movies/wiki_movies.py or https://s3.amazonaws.com/datasets.huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/6783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6783/comments | https://api.github.com/repos/huggingface/datasets/issues/6783/events | https://github.com/huggingface/datasets/issues/6783 | 2,228,179,466 | I_kwDODunzps6Ez1IK | 6,783 | AttributeError: module 'numpy' has no attribute 'object'. in Kaggle Notebook | {
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"Hi! You can fix this by updating the `datasets` package with `pip install -U datasets` and restarting the notebook.\r\n",
"Kaggle removed the problematic `datasets==2.1.0` pin last week, so I'm closing this issue (now it pre-installs the latest version)."
] | 2024-04-05T14:31:48Z | 2024-04-11T17:18:53Z | 2024-04-11T17:18:53Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
# problem
I can't resample audio dataset in Kaggle Notebook. It looks like some code in `datasets` library use aliases that were deprecated in NumPy 1.20.
## code for resampling
```
from datasets import load_dataset, Audio
from transformers import AutoFeatureExtractor
from transformers imp... | {
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https://api.github.com/repos/huggingface/datasets/issues/5189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5189/comments | https://api.github.com/repos/huggingface/datasets/issues/5189/events | https://github.com/huggingface/datasets/issues/5189 | 1,432,769,143 | I_kwDODunzps5VZlJ3 | 5,189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | {
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"I have to admit I'm not a fan of this idea, as this would result in a non-consistent behavior between tabular and non-tabular datasets, which is confusing if done without the context you provided. Instead, we could consider returning a `Dataset` object rather than `DatasetDict` if there is only one split in the ge... | 2022-11-02T09:15:02Z | 2022-12-06T12:13:17Z | null | {
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} | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3013 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3013/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3013/comments | https://api.github.com/repos/huggingface/datasets/issues/3013/events | https://github.com/huggingface/datasets/issues/3013 | 1,014,960,419 | I_kwDODunzps48fxEj | 3,013 | Improve `get_dataset_infos`? | {
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"To keeps things simple maybe we should use `load_dataset_builder` in `get_dataset_infos`.\r\n`load_dataset_builder` instantiates a builder and runs the _infos() method in order to give you the most up-to-date infos, even if the dataset_infos.json is outdated or missing."
] | 2021-10-04T09:47:04Z | 2022-02-21T15:57:10Z | 2022-02-21T15:57:10Z | null | COLLABORATOR | [] | null | null | {
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} | Using the dedicated function `get_dataset_infos` on a dataset that has no dataset-info.json file returns an empty info:
```
>>> from datasets import get_dataset_infos
>>> get_dataset_infos('wit')
{}
```
While it's totally possible to get it (regenerate it) with:
```
>>> from datasets import load_dataset_b... | {
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https://api.github.com/repos/huggingface/datasets/issues/7630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7630/comments | https://api.github.com/repos/huggingface/datasets/issues/7630/events | https://github.com/huggingface/datasets/issues/7630 | 3,164,650,900 | I_kwDODunzps68oL2U | 7,630 | [bug] resume from ckpt skips samples if .map is applied | {
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"Thanks for reporting this — it looks like a separate but related bug to #7538, which involved sample loss when resuming an `IterableDataset` wrapped in `FormattedExamplesIterable`. That was resolved in #7553 by re-batching the iterable to track offset correctly.\n\nIn this case, the issue seems to arise specifical... | 2025-06-21T01:50:03Z | 2026-02-06T07:06:02Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
resume from ckpt skips samples if .map is applied
Maybe related: https://github.com/huggingface/datasets/issues/7538
### Steps to reproduce the bug
```python
from datasets import Dataset
from datasets.distributed import split_dataset_by_node
# Create dataset with map transformation
def create... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5987/comments | https://api.github.com/repos/huggingface/datasets/issues/5987/events | https://github.com/huggingface/datasets/issues/5987 | 1,773,047,909 | I_kwDODunzps5prpBl | 5,987 | Why max_shard_size is not supported in load_dataset and passed to download_and_prepare | {
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"Can you explain your use case for `max_shard_size`? \r\n\r\nOn some systems, there is a limit to the size of a memory-mapped file, so we could consider exposing this parameter in `load_dataset`.",
"In my use case, users may choose a proper size to balance the cost and benefit of using large shard size. (On azure... | 2023-06-25T04:19:13Z | 2023-06-29T16:06:08Z | 2023-06-29T16:06:08Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
https://github.com/huggingface/datasets/blob/a8a797cc92e860c8d0df71e0aa826f4d2690713e/src/datasets/load.py#L1809
What I can to is break the `load_dataset` and use `load_datset_builder` + `download_and_prepare` instead.
### Steps to reproduce the bug
https://github.com/huggingface/datasets/blo... | {
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https://api.github.com/repos/huggingface/datasets/issues/4199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4199/comments | https://api.github.com/repos/huggingface/datasets/issues/4199/events | https://github.com/huggingface/datasets/issues/4199 | 1,211,953,308 | I_kwDODunzps5IPPCc | 4,199 | Cache miss during reload for datasets using image fetch utilities through map | {
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"Hi ! Maybe one of the objects in the function is not deterministic across sessions ? You can read more about it and how to investigate here: https://huggingface.co/docs/datasets/about_cache",
"Hi @apsdehal! Can you verify that replacing\r\n```python\r\ndef fetch_single_image(image_url, timeout=None, retries=0):\... | 2022-04-22T07:47:08Z | 2022-04-26T17:00:32Z | 2022-04-26T13:38:26Z | {
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} | ## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when you exit the interpretor and reload it, the downloading starts from scratch.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6654/comments | https://api.github.com/repos/huggingface/datasets/issues/6654/events | https://github.com/huggingface/datasets/issues/6654 | 2,126,939,358 | I_kwDODunzps5-xoTe | 6,654 | Batched dataset map throws exception that cannot cast fixed length array to Sequence | {
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"Hi ! This issue has been fixed by https://github.com/huggingface/datasets/pull/6283\r\n\r\nCan you try again with the new release 2.17.0 ?\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\n",
"Amazing! It's indeed fixed now. Thanks!"
] | 2024-02-09T11:23:19Z | 2024-02-12T08:26:53Z | 2024-02-12T08:26:53Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I encountered a TypeError when batch processing a dataset with Sequence features in datasets package version 2.16.1. The error arises from a mismatch in handling fixed-size list arrays during the map function execution. Debugging pinpoints the issue to an if-statement in datasets/table.py, line 20... | {
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https://api.github.com/repos/huggingface/datasets/issues/2964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2964/comments | https://api.github.com/repos/huggingface/datasets/issues/2964/events | https://github.com/huggingface/datasets/issues/2964 | 1,006,605,904 | I_kwDODunzps47_5ZQ | 2,964 | Error when calculating Matthews Correlation Coefficient loaded with `load_metric` | {
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"After some more tests I've realized that this \"issue\" is due to the `numpy.float64` to `float` conversion, but when defining a function named `compute_metrics` as it follows:\r\n\r\n```python\r\ndef compute_metrics(eval_preds):\r\n metric = load_metric(\"matthews_correlation\")\r\n logits, labels = eval_pr... | 2021-09-24T15:55:21Z | 2024-02-16T10:14:35Z | 2021-09-25T08:06:07Z | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
After loading the metric named "[Matthews Correlation Coefficient](https://huggingface.co/metrics/matthews_correlation)" from `🤗datasets`, the `.compute` method fails with the following exception `AttributeError: 'float' object has no attribute 'item'` (complete stack trace can be provided if re... | {
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https://api.github.com/repos/huggingface/datasets/issues/2776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2776/comments | https://api.github.com/repos/huggingface/datasets/issues/2776/events | https://github.com/huggingface/datasets/issues/2776 | 964,400,596 | MDU6SXNzdWU5NjQ0MDA1OTY= | 2,776 | document `config.HF_DATASETS_OFFLINE` and precedence | {
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} | https://github.com/huggingface/datasets/pull/1976 implemented `HF_DATASETS_OFFLINE`, but:
1. `config.HF_DATASETS_OFFLINE` is not documented
2. the precedence is not documented (env, config)
I'm thinking it probably should be similar to what it says https://huggingface.co/docs/datasets/loading_datasets.html#from-th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2236/comments | https://api.github.com/repos/huggingface/datasets/issues/2236/events | https://github.com/huggingface/datasets/issues/2236 | 861,388,145 | MDU6SXNzdWU4NjEzODgxNDU= | 2,236 | Request to add StrategyQA dataset | {
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} | ## Request to add StrategyQA dataset
- **Name:** StrategyQA
- **Description:** open-domain QA [(project page)](https://allenai.org/data/strategyqa)
- **Paper:** [url](https://arxiv.org/pdf/2101.02235.pdf)
- **Data:** [here](https://allenai.org/data/strategyqa)
- **Motivation:** uniquely-formulated dataset that als... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3707/comments | https://api.github.com/repos/huggingface/datasets/issues/3707/events | https://github.com/huggingface/datasets/issues/3707 | 1,132,741,903 | I_kwDODunzps5DhEUP | 3,707 | `.select`: unexpected behavior with `indices` | {
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"Hi! Currently, we compute the final index as `index % len(dset)`. I agree this behavior is somewhat unexpected and that it would be more appropriate to raise an error instead (this is what `df.iloc` in Pandas does, for instance).\r\n\r\n@albertvillanova @lhoestq wdyt?",
"I agree. I think `index % len(dset)` was ... | 2022-02-11T15:20:01Z | 2022-02-14T19:19:21Z | 2022-02-14T19:19:21Z | {
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} | ## Describe the bug
The `.select` method will not throw when sending `indices` bigger than the dataset length; `indices` will be wrapped instead. This behavior is not documented anywhere, and is not intuitive.
## Steps to reproduce the bug
```python
from datasets import Dataset
ds = Dataset.from_dict({"text": [... | {
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https://api.github.com/repos/huggingface/datasets/issues/7161 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7161/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7161/comments | https://api.github.com/repos/huggingface/datasets/issues/7161/events | https://github.com/huggingface/datasets/issues/7161 | 2,541,971,931 | I_kwDODunzps6Xg2nb | 7,161 | JSON lines with empty struct raise ArrowTypeError | {
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} | JSON lines with empty struct raise ArrowTypeError: struct fields don't match or are in the wrong order
See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
> ArrowTypeError: struct fields don't match or are in the wrong order: Input fields: struct<> output fields: struct<pov_c... | {
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https://api.github.com/repos/huggingface/datasets/issues/2181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2181/comments | https://api.github.com/repos/huggingface/datasets/issues/2181/events | https://github.com/huggingface/datasets/issues/2181 | 852,261,607 | MDU6SXNzdWU4NTIyNjE2MDc= | 2,181 | Error when loading a HUGE json file (pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries) | {
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"Hi ! Can you try to increase the block size ? For example\r\n```python\r\nblock_size_10MB = 10<<20\r\nload_dataset(\"json\", ..., block_size=block_size_10MB)\r\n```\r\nThe block size corresponds to how much bytes to process at a time from the input stream.\r\nThis will determine multi-threading granularity as well... | 2021-04-07T10:26:46Z | 2021-04-12T07:15:55Z | 2021-04-12T07:15:55Z | null | NONE | [] | null | null | {
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} | Hi, thanks for the great library. I have used the brilliant library for a couple of small projects, and now using it for a fairly big project.
When loading a huge json file of 500GB, pyarrow complains as follows:
```
Traceback (most recent call last):
File "/home/user/.pyenv/versions/3.7.9/lib/python3.7/site-pack... | {
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https://api.github.com/repos/huggingface/datasets/issues/624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/624/comments | https://api.github.com/repos/huggingface/datasets/issues/624/events | https://github.com/huggingface/datasets/issues/624 | 700,541,628 | MDU6SXNzdWU3MDA1NDE2Mjg= | 624 | Add learningq dataset | {
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"Hi! Triaging older issues this week — I think this one can be closed as out-of-scope for the current `datasets` repo.\n\n- Script-based dataset loaders are no longer added to this repo. The current model is \"upload directly to the Hub\": see [`ADD_NEW_DATASET.md`](https://github.com/huggingface/datasets/blob/main... | 2020-09-13T10:20:27Z | 2020-09-14T09:50:02Z | null | null | NONE | [] | null | null | {
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Thank you again for this amazing repo.
Would it be possible for y'all to add the LearningQ dataset - https://github.com/AngusGLChen/LearningQ ?
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https://api.github.com/repos/huggingface/datasets/issues/3306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3306/comments | https://api.github.com/repos/huggingface/datasets/issues/3306/events | https://github.com/huggingface/datasets/issues/3306 | 1,059,185,860 | I_kwDODunzps4_IeTE | 3,306 | nested sequence feature won't encode example if the first item of the outside sequence is an empty list | {
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"knock knock",
"Hi, thanks for reporting! I've linked a PR that should fix the issue.",
"I've checked the PR and it looks great, thanks a lot!"
] | 2021-11-20T16:57:54Z | 2021-12-08T13:02:15Z | 2021-12-08T13:02:15Z | {
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} | ## Describe the bug
As the title, nested sequence feature won't encode example if the first item of the outside sequence is an empty list.
## Steps to reproduce the bug
```python
from datasets import Features, Sequence, ClassLabel
features = Features({
'x': Sequence(Sequence(ClassLabel(names=['a', 'b']))),
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https://api.github.com/repos/huggingface/datasets/issues/5060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5060/comments | https://api.github.com/repos/huggingface/datasets/issues/5060/events | https://github.com/huggingface/datasets/issues/5060 | 1,395,382,940 | I_kwDODunzps5TK9qc | 5,060 | Unable to Use Custom Dataset Locally | {
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"Hi ! I opened a PR in your repo to fix this :)\r\nhttps://huggingface.co/datasets/zpn/pubchem_selfies/discussions/7\r\n\r\nbasically you need to use `open` for streaming to work properly",
"Thank you so much for this! Naive question, is this a feature of `open` or have you all overloaded it to be able to read fr... | 2022-10-03T21:55:16Z | 2022-10-06T14:29:18Z | 2022-10-06T14:29:17Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it says
```
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https://api.github.com/repos/huggingface/datasets/issues/4772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4772/comments | https://api.github.com/repos/huggingface/datasets/issues/4772/events | https://github.com/huggingface/datasets/issues/4772 | 1,322,693,123 | I_kwDODunzps5O1rID | 4,772 | AssertionError when using label_cols in to_tf_dataset | {
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"cc @Rocketknight1 ",
"Hi @lehrig, this is caused by the data collator renaming \"label\" to \"labels\". If you set `label_cols=[\"labels\"]` in the call it will work correctly. However, I agree that the cause of the bug is not obvious, so I'll see if I can make a PR to clarify things when the collator renames co... | 2022-07-29T21:32:12Z | 2022-09-12T11:24:46Z | 2022-09-12T11:24:46Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
An incorrect `AssertionError` is raised when using `label_cols` in `to_tf_dataset` and the label's key name is `label`.
The assertion is in this line:
https://github.com/huggingface/datasets/blob/2.4.0/src/datasets/arrow_dataset.py#L475
## Steps to reproduce the bug
```python
from datasets... | {
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https://api.github.com/repos/huggingface/datasets/issues/4684 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4684/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4684/comments | https://api.github.com/repos/huggingface/datasets/issues/4684/events | https://github.com/huggingface/datasets/issues/4684 | 1,305,554,654 | I_kwDODunzps5N0S7e | 4,684 | How to assign new values to Dataset? | {
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"Hi! One option is use `map` with a function that overwrites the labels (`dset = dset.map(lamba _: {\"label\": 0}, features=dset.features`)). Or you can use the `remove_column` + `add_column` combination (`dset = dset.remove_columns(\"label\").add_column(\"label\", [0]*len(data)).cast(dset.features)`, but note that... | 2022-07-15T04:17:57Z | 2023-03-20T15:50:41Z | 2022-10-10T11:53:38Z | null | NONE | [] | null | null | {
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Hi, if I want to change some values of the dataset, or add new columns to it, how can I do it?
For example, I want to change all the labels of the SST2 dataset to `0`:
```python
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https://api.github.com/repos/huggingface/datasets/issues/7970 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7970/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7970/comments | https://api.github.com/repos/huggingface/datasets/issues/7970/events | https://github.com/huggingface/datasets/issues/7970 | 3,869,700,866 | I_kwDODunzps7mpvMC | 7,970 | cast_column(..., Audio) fails with load_dataset("csv",) | {
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"The following code *does* work:\n```py\nfrom datasets import load_dataset,Audio,Features\n\ndataset = load_dataset(\"csv\",data_files=\"audio.csv\",features=Features({\"audio\": Audio()}))\nprint(dataset[\"train\"][0][\"audio\"])\n```",
"Thanks for reporing ! Are you using pandas v3 by any chance ? The CSV loade... | 2026-01-29T09:33:35Z | 2026-04-04T12:45:45Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Attempt to load a dataset from a csv with a single `audio` column with a single row with a path to an audio file fails when casting the column to Audio, but the exact same dataset created from a dictionary succeeds.
### Steps to reproduce the bug
1. Have any valid audio file `audio.wav`
2. Have ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6157 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6157/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6157/comments | https://api.github.com/repos/huggingface/datasets/issues/6157/events | https://github.com/huggingface/datasets/issues/6157 | 1,855,265,663 | I_kwDODunzps5ulRt_ | 6,157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | {
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"Thanks for reporting, but we can only fix this issue if you can provide a reproducer that consistently reproduces it.",
"@mariosasko Ok. What exactly does it mean to provide a reproducer",
"To provide a code that reproduces the issue :)",
"@mariosasko I complete the above code, is it enough?",
"@mariosasko... | 2023-08-17T15:48:11Z | 2023-09-27T17:36:14Z | 2023-09-27T17:36:14Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | {
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https://api.github.com/repos/huggingface/datasets/issues/1514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1514/comments | https://api.github.com/repos/huggingface/datasets/issues/1514/events | https://github.com/huggingface/datasets/issues/1514 | 764,017,148 | MDU6SXNzdWU3NjQwMTcxNDg= | 1,514 | how to get all the options of a property in datasets | {
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"In a dataset, labels correspond to the `ClassLabel` feature that has the `names` property that returns string represenation of the integer classes (or `num_classes` to get the number of different classes).",
"I think the `features` attribute of the dataset object is what you are looking for:\r\n```\r\n>>> datase... | 2020-12-12T16:24:08Z | 2022-05-25T16:27:29Z | 2022-05-25T16:27:29Z | null | CONTRIBUTOR | [] | null | null | {
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could you tell me how I can get all unique options of a property of dataset?
for instance in case of boolq, if the user wants to know which unique labels it has, is there a way to access unique labels without getting all training data lables and then forming a set i mean? thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/2322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2322/comments | https://api.github.com/repos/huggingface/datasets/issues/2322/events | https://github.com/huggingface/datasets/issues/2322 | 876,383,853 | MDU6SXNzdWU4NzYzODM4NTM= | 2,322 | Calls to map are not cached. | {
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"I tried upgrading to `datasets==1.6.2` and downgrading to `1.6.0`. Both versions produce the same output.\r\n\r\nDowngrading to `1.5.0` works and produces the following output for me:\r\n\r\n```bash\r\nDownloading: 9.20kB [00:00, 3.94MB/s] \r\nDownloading: 5.99kB [00:00, 3.29MB/s] ... | 2021-05-05T12:11:27Z | 2021-06-08T19:10:02Z | 2021-06-08T19:08:21Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Somehow caching does not work for me anymore. Am I doing something wrong, or is there anything that I missed?
## Steps to reproduce the bug
```python
import datasets
datasets.set_caching_enabled(True)
sst = datasets.load_dataset("sst")
def foo(samples, i):
print("executed", i[:10])... | {
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https://api.github.com/repos/huggingface/datasets/issues/3720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3720/comments | https://api.github.com/repos/huggingface/datasets/issues/3720/events | https://github.com/huggingface/datasets/issues/3720 | 1,137,537,080 | I_kwDODunzps5DzXA4 | 3,720 | Builder Configuration Update Required on Common Voice Dataset | {
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"Hi @aasem, thanks for reporting.\r\n\r\nPlease note that currently Commom Voice is hosted on our Hub as a community dataset by the Mozilla Foundation. See all Common Voice versions here: https://huggingface.co/mozilla-foundation\r\n\r\nMaybe we should add an explaining note in our \"legacy\" Common Voice canonical... | 2022-02-14T16:21:41Z | 2024-04-28T18:03:08Z | 2024-04-28T18:03:08Z | null | NONE | [] | null | null | {
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} | Missing language in Common Voice dataset
**Link:** https://huggingface.co/datasets/common_voice
I tried to call the Urdu dataset using `load_dataset("common_voice", "ur", split="train+validation")` but couldn't due to builder configuration not found. I checked the source file here for the languages support:
ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/5229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5229/comments | https://api.github.com/repos/huggingface/datasets/issues/5229/events | https://github.com/huggingface/datasets/issues/5229 | 1,445,121,028 | I_kwDODunzps5WIswE | 5,229 | Type error when calling `map` over dataset containing 0-d tensors | {
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"Hi! \r\n\r\nWe could address this by calling `.item()` on such tensors to extract the value, but this would lose us the type, which could lead to storing the generated dataset in a suboptimal format. Considering this, I think the only proper fix would be implementing support for 0-D tensors on Apache Arrow's side ... | 2022-11-11T08:27:28Z | 2023-01-13T16:00:53Z | 2023-01-13T16:00:53Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
```
ds = datasets.Dataset.from_list([{"a": 1}, {"a": 1}]).with_fo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6890 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6890/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6890/comments | https://api.github.com/repos/huggingface/datasets/issues/6890/events | https://github.com/huggingface/datasets/issues/6890 | 2,288,699,041 | I_kwDODunzps6Iasah | 6,890 | add `with_transform` and/or `set_transform` to IterableDataset | {
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} | ### Feature request
when working with a really large dataset it would save us a lot of time (and compute resources) to use either with_transform or the set_transform from the Dataset class instead of waiting for the entire dataset to map
### Motivation
don't want to wait for a really long dataset to map, this would ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5414/comments | https://api.github.com/repos/huggingface/datasets/issues/5414/events | https://github.com/huggingface/datasets/issues/5414 | 1,525,733,818 | I_kwDODunzps5a8Nm6 | 5,414 | Sharding error with Multilingual LibriSpeech | {
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"Thanks for reporting, @Nithin-Holla.\r\n\r\nThis is a known issue for multiple datasets and we are investigating it:\r\n- See e.g.: https://huggingface.co/datasets/ami/discussions/3",
"Main issue:\r\n- #5415",
"@albertvillanova Thanks! As a workaround for now, can I use the dataset in streaming mode?",
"Yes,... | 2023-01-09T14:45:31Z | 2023-01-18T14:09:04Z | 2023-01-18T14:09:04Z | {
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} | ### Describe the bug
Loading the German Multilingual LibriSpeech dataset results in a RuntimeError regarding sharding with the following stacktrace:
```
Downloading and preparing dataset multilingual_librispeech/german to /home/nithin/datadrive/cache/huggingface/datasets/facebook___multilingual_librispeech/german/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5419/comments | https://api.github.com/repos/huggingface/datasets/issues/5419/events | https://github.com/huggingface/datasets/issues/5419 | 1,531,999,850 | I_kwDODunzps5bUHZq | 5,419 | label_column='labels' in datasets.TextClassification and 'label' or 'label_ids' in transformers.DataColator | {
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"Hi! Thanks for pointing out this inconsistency. Changing the default value at this point is probably not worth it, considering we've started discussing the state of the task API internally - we will most likely deprecate the current one and replace it with a more robust solution that relies on the `train_eval_inde... | 2023-01-13T09:40:07Z | 2023-07-21T14:27:08Z | 2023-07-21T14:27:08Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When preparing a dataset for a task using `datasets.TextClassification`, the output feature is named `labels`. When preparing the trainer using the `transformers.DataCollator` the default column name is `label` if binary or `label_ids` if multi-class problem.
It is required to rename the column... | {
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https://api.github.com/repos/huggingface/datasets/issues/3503 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3503/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3503/comments | https://api.github.com/repos/huggingface/datasets/issues/3503/events | https://github.com/huggingface/datasets/issues/3503 | 1,090,472,735 | I_kwDODunzps5A_0sf | 3,503 | Batched in filter throws error | {
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} | I hope this is really a bug, I could not find it among the open issues
## Describe the bug
using `batched=False` in DataSet.filter throws error
```python
TypeError: filter() got an unexpected keyword argument 'batched'
```
but in the docs it is lister as an argument.
## Steps to reproduce the bug
```python
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5181/comments | https://api.github.com/repos/huggingface/datasets/issues/5181/events | https://github.com/huggingface/datasets/issues/5181 | 1,431,027,102 | I_kwDODunzps5VS72e | 5,181 | Add a guide for semantic segmentation | {
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"Sure this sounds great! Would this be pure torchvision, albumentations, or something else?",
"I am considering `torchvision` and `albumentations`. Also [works with TensorFlow](https://github.com/deep-diver/segformer-tf-transformers/blob/main/notebooks/TFSegFormer_Finetune.ipynb). \r\n\r\nI am assigning the issue... | 2022-11-01T07:54:50Z | 2022-11-04T18:23:36Z | 2022-11-04T18:23:36Z | {
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} | Currently, we have these guides for object detection and image classification:
* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happy to contribute a PR for it.
Cc: @os... | {
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https://api.github.com/repos/huggingface/datasets/issues/6756 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6756/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6756/comments | https://api.github.com/repos/huggingface/datasets/issues/6756/events | https://github.com/huggingface/datasets/issues/6756 | 2,205,557,725 | I_kwDODunzps6DdiPd | 6,756 | Support SQLite files? | {
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"You can use `Dataset.from_sql(path_to_sql_file)` already. Though we haven't added the Sql dataset builder to the `_PACKAGED_DATASETS_MODULES` list or in `_EXTENSION_TO_MODULE` to map `.sqlite` to the Sql dataset builder\r\n\r\nThis would allow to load a dataset repository with a `.sqlite` file using `load_dataset`... | 2024-03-25T11:48:05Z | 2024-03-26T16:09:32Z | 2024-03-26T16:09:32Z | null | COLLABORATOR | [] | null | null | {
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} | ### Feature request
Support loading a dataset from a SQLite file
https://huggingface.co/datasets/severo/test_iris_sqlite/tree/main
### Motivation
SQLite is a popular file format.
### Your contribution
See discussion on slack: https://huggingface.slack.com/archives/C04L6P8KNQ5/p1702481859117909 (internal)
In ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3807 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3807/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3807/comments | https://api.github.com/repos/huggingface/datasets/issues/3807/events | https://github.com/huggingface/datasets/issues/3807 | 1,157,531,812 | I_kwDODunzps5E_oik | 3,807 | NonMatchingChecksumError in xcopa dataset | {
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"@albertvillanova here's a separate issue for a bug similar to #3792",
"Hi @afcruzs-ms, thanks for opening this separate issue for your problem.\r\n\r\nThe root problem in the other issue (#3792) was a change in the service of Google Drive.\r\n\r\nBut in your case, the `xcopa` dataset is not hosted on Google Driv... | 2022-03-02T18:10:19Z | 2022-05-20T06:00:42Z | 2022-03-03T17:40:31Z | {
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} | ## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be loaded correctly.
## Actual results
Fails ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4626/comments | https://api.github.com/repos/huggingface/datasets/issues/4626/events | https://github.com/huggingface/datasets/issues/4626 | 1,293,256,269 | I_kwDODunzps5NFYZN | 4,626 | Add non-commercial licensing info for datasets for which we removed tags | {
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"yep plus `license_details` also makes sense for this IMO"
] | 2022-07-04T14:32:43Z | 2022-07-08T14:27:29Z | null | null | MEMBER | [] | null | null | {
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} | We removed several YAML tags saying that certain datasets can't be used for commercial purposes: https://github.com/huggingface/datasets/pull/4613#discussion_r911919753
Reason for this is that we only allow tags that are part of our [supported list of licenses](https://github.com/huggingface/datasets/blob/84fc3ad73c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6534/comments | https://api.github.com/repos/huggingface/datasets/issues/6534/events | https://github.com/huggingface/datasets/issues/6534 | 2,056,002,548 | I_kwDODunzps56jBv0 | 6,534 | How to configure multiple folders in the same zip package | {
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"@albertvillanova"
] | 2023-12-26T03:56:20Z | 2023-12-26T06:31:16Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | How should I write "config" in readme when all the data, such as train test, is in a zip file
train floder and test floder in data.zip | null | {
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