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1,607,054,110 | https://api.github.com/repos/huggingface/datasets/issues/5602/labels{/name} | This PR introduces new logic to `to_tf_dataset` affecting the returned data structure, enabling a dictionary structure to be returned, even if only one feature column is selected.
If the passed in `columns` or `label_cols` to `to_tf_dataset` are a list, they are returned as a dictionary, respectively. If they are a... | 2023-04-12T15:54:53Z | 5,602 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-03-02T15:51:12Z | https://api.github.com/repos/huggingface/datasets/issues/5602/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5602/timeline | Return dict structure if columns are lists - to_tf_dataset | https://api.github.com/repos/huggingface/datasets/issues/5602/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5602). All of your documentation changes will be reflected on that endpoint.",
"This is a great PR! Thinking about the UX though, maybe we could do it without the extra argument? Before this PR, the logic in `to_tf_dataset` was... | {
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1,606,685,976 | https://api.github.com/repos/huggingface/datasets/issues/5601/labels{/name} | ### Describe the bug
Get `Authorization error` when try to push data into hugginface datasets hub.
### Steps to reproduce the bug
I did all steps in the [tutorial](https://huggingface.co/docs/datasets/share),
1. `huggingface-cli login` with WRITE token
2. `git lfs install`
3. `git clone https://huggingfa... | 2023-03-14T16:55:35Z | 5,601 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-03-02T12:08:39Z | https://api.github.com/repos/huggingface/datasets/issues/5601/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5601/timeline | Authorization error | https://api.github.com/repos/huggingface/datasets/issues/5601/events | null | {
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"Hi! \r\n\r\nIt's better to report this kind of issue in the `huggingface_hub` repo, so if you still haven't resolved it, I suggest you open an issue there.",
"Yeah, I solved it. Problem was in osxkeychain. When I do `hugginface-cli login` it's add token with default account (username)`hg_user` but my repo cont... | {
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1,606,585,596 | https://api.github.com/repos/huggingface/datasets/issues/5600/labels{/name} | ### Describe the bug
Dataloader getitem is not working as before (see example of [DreamboothDatasets](https://github.com/huggingface/peft/blob/main/examples/lora_dreambooth/train_dreambooth.py#L451C14-L529))
moving Datasets to 2.8.0 solved the issue.
### Steps to reproduce the bug
1- using DreamBoothDataset ... | 2023-03-13T17:59:35Z | 5,600 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-03-02T11:00:27Z | https://api.github.com/repos/huggingface/datasets/issues/5600/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5600/timeline | Dataloader getitem not working for DreamboothDatasets | https://api.github.com/repos/huggingface/datasets/issues/5600/events | null | {
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"Hi! \r\n\r\n> (see example of DreamboothDatasets)\r\n\r\n\r\nCould you please provide a link to it? If you are referring to the example in the `diffusers` repo, your issue is unrelated to `datasets` as that example uses `Dataset` from PyTorch to load data."
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1,605,018,478 | https://api.github.com/repos/huggingface/datasets/issues/5598/labels{/name} | As reported in https://github.com/vijaydwivedi75/lrgb/issues/10, `push_to_hub` fails if the remote repository already exists and has a README.md without `dataset_info` in the YAML tags
cc @clefourrier | 2023-03-02T13:47:13Z | 5,598 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-03-01T13:54:06Z | https://api.github.com/repos/huggingface/datasets/issues/5598/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5598/timeline | Fix push_to_hub with no dataset_infos | https://api.github.com/repos/huggingface/datasets/issues/5598/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | {
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1,604,928,721 | https://api.github.com/repos/huggingface/datasets/issues/5597/labels{/name} | ### Motivation
For the circumstance that I creat an empty `Dataset` and keep appending new rows into it, I found that it leads to creating a new dataset at each call. It looks quite memory-consuming. I just wonder if there is any more efficient way to do this.
```python
from datasets import Dataset
ds = Datas... | 2023-03-02T13:30:41Z | 5,597 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"We won't support in-place modifications since `datasets` is based on the Apache Arrow format which doesn't support in-place modifications.\r\n\r\nIn your case the old dataset is garbage collected pretty quickly so you won't have memory issues.\r\n\r\nNote that datasets loaded from disk (memory mapped) are not load... | {
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1,604,919,993 | https://api.github.com/repos/huggingface/datasets/issues/5596/labels{/name} | ### Describe the bug
I'm trying to load this [dataset](https://huggingface.co/datasets/bigcode-data/the-stack-gh-issues) which consists of jsonl files and I get the following error:
```
casted_values = _c(array.values, feature[0])
File "/opt/conda/lib/python3.7/site-packages/datasets/table.py", line 1839, in wr... | 2023-12-05T03:22:00Z | 5,596 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-03-01T12:53:08Z | https://api.github.com/repos/huggingface/datasets/issues/5596/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5596/timeline | [TypeError: Couldn't cast array of type] Can only load a subset of the dataset | https://api.github.com/repos/huggingface/datasets/issues/5596/events | null | {
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"Apparently some JSON objects have a `\"labels\"` field. Since this field is not present in every object, you must specify all the fields types in the README.md\r\n\r\nEDIT: actually specifying the feature types doesn’t solve the issue, it raises an error because “labels” is missing in the data",
"We've updated t... | {
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1,604,070,629 | https://api.github.com/repos/huggingface/datasets/issues/5595/labels{/name} | Closes #5477 | 2023-04-04T08:20:19Z | 5,595 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-03-01T01:33:45Z | https://api.github.com/repos/huggingface/datasets/issues/5595/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5595/timeline | Unpins sqlAlchemy | https://api.github.com/repos/huggingface/datasets/issues/5595/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5595). All of your documentation changes will be reflected on that endpoint.",
"It looks like this issue hasn't been fixed yet, so let's wait a bit more.",
"@lazarust thanks for your work, but unfortunately we cannot merge it... | {
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1,603,980,995 | https://api.github.com/repos/huggingface/datasets/issues/5594/labels{/name} | ### Describe the bug
Hi,
I am facing an error while downloading the xtreme udpos dataset using load_dataset. I have datasets 2.10.1 installed
```Downloading and preparing dataset xtreme/udpos.Arabic to /compute/tir-1-18/skhanuja/multilingual_ft/cache/data/xtreme/udpos.Arabic/1.0.0/29f5d57a48779f37ccb75cb8708d1... | 2023-11-04T20:45:56Z | 5,594 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-28T23:40:53Z | https://api.github.com/repos/huggingface/datasets/issues/5594/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5594/timeline | Error while downloading the xtreme udpos dataset | https://api.github.com/repos/huggingface/datasets/issues/5594/events | null | {
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"Hi! I cannot reproduce this error on my machine.\r\n\r\nThe raised error could mean that one of the downloaded files is corrupted. To verify this is not the case, you can run `load_dataset` as follows:\r\n```python\r\ntrain_dataset = load_dataset('xtreme', 'udpos.English', split=\"train\", cache_dir=args.cache_dir... | {
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1,603,619,124 | https://api.github.com/repos/huggingface/datasets/issues/5592/labels{/name} | Fixes #5581 to use the correct output for the `set_format` method. | 2023-02-28T19:26:33Z | 5,592 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-28T18:42:37Z | https://api.github.com/repos/huggingface/datasets/issues/5592/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5592/timeline | Fix docstring example | https://api.github.com/repos/huggingface/datasets/issues/5592/events | null | {
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1,603,535,704 | https://api.github.com/repos/huggingface/datasets/issues/5589/labels{/name} | This reverts commit b91070b9c09673e2e148eec458036ab6a62ac042 (temporarily)
It hurts iterable dataset performance a lot (e.g. x4 slower because it encodes+decodes images unnecessarily). I think we need to fix this before re-adding it
cc @mariosasko @Hubert-Bonisseur | 2023-09-24T10:07:33Z | 5,589 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-28T17:52:04Z | https://api.github.com/repos/huggingface/datasets/issues/5589/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5589/timeline | Revert "pass the dataset features to the IterableDataset.from_generator" | https://api.github.com/repos/huggingface/datasets/issues/5589/events | null | {
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1,603,304,766 | https://api.github.com/repos/huggingface/datasets/issues/5588/labels{/name} | Flatten a dataset on the fly in `save_to_disk` instead of doing it with `flatten_indices` to avoid creating an additional cache file.
(this is one of the sub-tasks in https://github.com/huggingface/datasets/issues/5507) | 2023-02-28T17:28:35Z | 5,588 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-28T15:37:46Z | https://api.github.com/repos/huggingface/datasets/issues/5588/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5588/timeline | Flatten dataset on the fly in `save_to_disk` | https://api.github.com/repos/huggingface/datasets/issues/5588/events | null | {
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1,603,139,420 | https://api.github.com/repos/huggingface/datasets/issues/5587/labels{/name} | Fixes the `key` range in the `query_table` call in `sort` to account for an indices mapping
Fix #5586 | 2023-02-28T17:28:57Z | 5,587 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-28T14:05:08Z | https://api.github.com/repos/huggingface/datasets/issues/5587/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5587/timeline | Fix `sort` with indices mapping | https://api.github.com/repos/huggingface/datasets/issues/5587/events | null | {
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1,602,961,544 | https://api.github.com/repos/huggingface/datasets/issues/5586/labels{/name} | ### Describe the bug
Hi, thank you for your support!
It seems like the addition of multiple key sort (#5502) in 2.10.0 broke the `.sort()` method.
After filtering a dataset with `.filter()`, the `.sort()` seems to refer to the query_table index of the previous unfiltered dataset, resulting in an IndexError.
... | 2023-02-28T18:17:26Z | 5,586 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Thanks for reporting and thanks @mariosasko for fixing ! We just did a patch release `2.10.1` with the fix"
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1,602,190,030 | https://api.github.com/repos/huggingface/datasets/issues/5585/labels{/name} | ### Describe the bug
I would like to share cache between two machines (a Windows host machine and a WSL instance).
I run most my code in WSL. I have just run out of space in the virtual drive. Rather than expand the drive size, I plan to move to cache to the host Windows machine, thereby sharing the downloads.
I... | 2023-02-28T21:26:52Z | 5,585 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-28T00:53:06Z | https://api.github.com/repos/huggingface/datasets/issues/5585/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5585/timeline | Cache is not transportable | https://api.github.com/repos/huggingface/datasets/issues/5585/events | null | {
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"Hi ! No the cache is not transportable in general. It will work on a shared filesystem if you use the same python environment, but not across machines/os/environments.\r\n\r\nIn particular, reloading cached datasets does work, but reloading cached processed datasets (e.g. from `map`) may not work. This is because ... | {
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1,601,821,808 | https://api.github.com/repos/huggingface/datasets/issues/5584/labels{/name} | ### Describe the bug
Seeing this error when downloading https://huggingface.co/datasets/kakaobrain/coyo-700m:
```ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.```
Full stack trace
```Downloading and preparing dataset parquet/kakaobrain--coy... | 2023-02-28T07:27:59Z | 5,584 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-27T19:35:03Z | https://api.github.com/repos/huggingface/datasets/issues/5584/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5584/timeline | Unable to load coyo700M dataset | https://api.github.com/repos/huggingface/datasets/issues/5584/events | null | {
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"Hi @manuaero \r\n\r\nThank you for your interest in the COYO dataset.\r\n\r\nOur dataset provides the img-url and alt-text in the form of a parquet, so to utilize the coyo dataset you will need to download it directly.\r\n\r\nWe provide a [guide](https://github.com/kakaobrain/coyo-dataset/blob/main/download/README... | {
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1,601,583,625 | https://api.github.com/repos/huggingface/datasets/issues/5583/labels{/name} | Ensures all the writers that use Pandas for conversion (JSON, CSV, SQL) do not export `index` by default (https://github.com/huggingface/datasets/pull/5490 only did this for CSV) | 2023-02-28T13:52:15Z | 5,583 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-27T17:04:46Z | https://api.github.com/repos/huggingface/datasets/issues/5583/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5583/timeline | Do no write index by default when exporting a dataset | https://api.github.com/repos/huggingface/datasets/issues/5583/events | null | {
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1,600,932,092 | https://api.github.com/repos/huggingface/datasets/issues/5582/labels{/name} | This PR closes #5383
* Add column_names property to IterableDataset
* Add multiple tests for this new property | 2023-03-13T19:10:22Z | 5,582 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-27T10:50:07Z | https://api.github.com/repos/huggingface/datasets/issues/5582/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5582/timeline | Add column_names to IterableDataset | https://api.github.com/repos/huggingface/datasets/issues/5582/events | null | {
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1,600,675,489 | https://api.github.com/repos/huggingface/datasets/issues/5581/labels{/name} | ### Describe the bug
https://huggingface.co/docs/datasets/v2.10.0/en/package_reference/main_classes#datasets.Dataset.set_format
<img width="700" alt="image" src="https://user-images.githubusercontent.com/36224762/221506973-ae2e3991-60a7-4d4e-99f8-965c6eb61e59.png">
While actually running it will result in:
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1,600,431,792 | https://api.github.com/repos/huggingface/datasets/issues/5580/labels{/name} | Closes https://github.com/huggingface/datasets/issues/5281
This PR uses fsspec to support datasets on cloud storage (tested manually with GCS). ETags are currently unsupported for cloud storage. In general, a much larger refactor could be done to just use fsspec for all schemes (ftp, http/s, s3, gcs) to unify the in... | 2023-03-11T01:02:49Z | 5,580 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-27T04:06:05Z | https://api.github.com/repos/huggingface/datasets/issues/5580/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5580/timeline | Support cloud storage in load_dataset via fsspec | https://api.github.com/repos/huggingface/datasets/issues/5580/events | null | {
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1,599,732,211 | https://api.github.com/repos/huggingface/datasets/issues/5579/labels{/name} | The following adds instructions on how to create a `DataLoader` from the guide on how to use object detection with augmentations (#4710). I am open to hearing any suggestions for improvement ! | 2023-03-23T19:24:59Z | 5,579 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-25T14:53:17Z | https://api.github.com/repos/huggingface/datasets/issues/5579/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5579/timeline | Add instructions to create `DataLoader` from augmented dataset in object detection guide | https://api.github.com/repos/huggingface/datasets/issues/5579/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5579). All of your documentation changes will be reflected on that endpoint.",
"I'm not sure we need this part as we provide a link to the notebook that shows how to train an object detection model, and this notebook instantiat... | {
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1,598,863,119 | https://api.github.com/repos/huggingface/datasets/issues/5578/labels{/name} | Add the `huggingface_hub` version to the `env` command's output. | 2023-02-27T17:28:25Z | 5,578 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-24T15:37:43Z | https://api.github.com/repos/huggingface/datasets/issues/5578/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5578/timeline | Add `huggingface_hub` version to env cli command | https://api.github.com/repos/huggingface/datasets/issues/5578/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | {
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1,598,587,665 | https://api.github.com/repos/huggingface/datasets/issues/5577/labels{/name} | ### Describe the bug
I met the same bug mentioned in #3053 which is never fixed. Because several `reddit_scores` are larger than `int8` even `int16`. https://huggingface.co/datasets/the_pile_openwebtext2/blob/main/the_pile_openwebtext2.py#L62
### Steps to reproduce the bug
```python3
from datasets import load... | 2023-02-24T14:01:09Z | 5,577 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-24T13:01:48Z | https://api.github.com/repos/huggingface/datasets/issues/5577/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5577/timeline | Cannot load `the_pile_openwebtext2` | https://api.github.com/repos/huggingface/datasets/issues/5577/events | null | {
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"Hi! I've merged a PR to use `int32` instead of `int8` for `reddit_scores`, so it should work now.\r\n\r\n"
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1,598,582,744 | https://api.github.com/repos/huggingface/datasets/issues/5576/labels{/name} | I was getting a similar error `pyarrow.lib.ArrowInvalid: Integer value 528 not in range: -128 to 127` - AFAICT, this is because the type specified for `reddit_scores` is `datasets.Sequence(datasets.Value("int8"))`, but the actual values can be well outside the max range for 8-bit integers.
I worked aro... | 2023-02-24T12:58:31Z | 5,576 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-24T12:57:49Z | https://api.github.com/repos/huggingface/datasets/issues/5576/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5576/timeline | I was getting a similar error `pyarrow.lib.ArrowInvalid: Integer value 528 not in range: -128 to 127` - AFAICT, this is because the type specified for `reddit_scores` is `datasets.Sequence(datasets.Value("int8"))`, but the actual values can be well outside the max range for 8-bit integers. | https://api.github.com/repos/huggingface/datasets/issues/5576/events | null | {
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"Duplicated issue."
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1,598,396,552 | https://api.github.com/repos/huggingface/datasets/issues/5575/labels{/name} | ### Feature request
Being able to put some metadata for each column as a string or any other type.
### Motivation
I will bring the motivation by an example, lets say we are experimenting with embedding produced by some image encoder network, and we want to iterate through a couple of preprocessing and see which on... | 2024-01-05T21:48:35Z | 5,575 | {
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"Hi! Indeed it would be useful to support this. PyArrow natively supports schema-level and column-level metadata, so implementing this should be straightforward. The API I have in mind would work as follows:\r\n```python\r\ncol_feature = Value(\"string\", metadata=\"Some column-level metadata\")\r\n\r\nfeatures = F... | {
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1,598,104,691 | https://api.github.com/repos/huggingface/datasets/issues/5574/labels{/name} | ### Describe the bug
Loading the `c4` dataset in streaming mode with `load_dataset("c4", "en", split="validation", streaming=True)` and then using it fails with a `FileNotFoundException`.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("c4", "en", split="train", ... | 2023-12-18T07:32:32Z | 5,574 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-24T07:57:32Z | https://api.github.com/repos/huggingface/datasets/issues/5574/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5574/timeline | c4 dataset streaming fails with `FileNotFoundError` | https://api.github.com/repos/huggingface/datasets/issues/5574/events | null | {
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"Also encountering this issue for every dataset I try to stream! Installed datasets from main:\r\n```\r\n- `datasets` version: 2.10.1.dev0\r\n- Platform: macOS-13.1-arm64-arm-64bit\r\n- Python version: 3.9.13\r\n- PyArrow version: 10.0.1\r\n- Pandas version: 1.5.2\r\n```\r\n\r\nRepro:\r\n```python\r\nfrom datasets ... | {
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1,597,400,836 | https://api.github.com/repos/huggingface/datasets/issues/5573/labels{/name} | I've removed `torchaudio` completely and switched to use `soundfile` for everything. With the new version of `soundfile` package this should work smoothly because the `libsndfile` C library is bundled, in Linux wheels too.
Let me know if you think it's too harsh and we should continue to support `torchaudio` decodi... | 2023-02-28T20:25:14Z | 5,573 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-23T19:19:44Z | https://api.github.com/repos/huggingface/datasets/issues/5573/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5573/timeline | Use soundfile for mp3 decoding instead of torchaudio | https://api.github.com/repos/huggingface/datasets/issues/5573/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@mariosasko thank you for the review! do you have any idea why `test_hash_torch_tensor` fails on \"ubuntu-latest deps-minimum\"? I removed the `torchaudio<0.12.0` test dependency so it uses the latest `torch` now, might it be connect... | {
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1,597,257,624 | https://api.github.com/repos/huggingface/datasets/issues/5572/labels{/name} | ### Describe the bug
download_mode="reuse_dataset_if_exists" will always consider that a dataset doesn't exist.
Specifically, upon losing an internet connection trying to load a dataset for a second time in ten seconds, a connection error results, showing a breakpoint of:
```
File ~/jupyterlab/.direnv/python-... | 2023-02-23T18:03:55Z | 5,572 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-23T17:28:11Z | https://api.github.com/repos/huggingface/datasets/issues/5572/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5572/timeline | Datasets 2.10.0 does not reuse the dataset cache | https://api.github.com/repos/huggingface/datasets/issues/5572/events | null | {
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1,597,198,953 | https://api.github.com/repos/huggingface/datasets/issues/5571/labels{/name} | ### Describe the bug
Steps:
1. Created a dataset in a Linux VM and created a small sample using dataset.to_json() method.
2. Downloaded the JSON file to my local Windows machine for working and saved in say - r"C:\Users\name\file.json"
3. I am reading the file in my local PyCharm - the location of python file is di... | 2023-02-24T13:21:47Z | 5,571 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-23T16:50:11Z | https://api.github.com/repos/huggingface/datasets/issues/5571/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5571/timeline | load_dataset fails for JSON in windows | https://api.github.com/repos/huggingface/datasets/issues/5571/events | null | {
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"Hi! \r\n\r\nYou need to pass an input json file explicitly as `data_files` to `load_dataset` to avoid this error:\r\n```python\r\n ds = load_dataset(\"json\", data_files=args.input_json)\r\n```\r\n\r\n",
"Thanks it worked!"
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1,597,190,926 | https://api.github.com/repos/huggingface/datasets/issues/5570/labels{/name} | ### Describe the bug
When calling ```load_dataset('imagenet-1k')``` FileNotFoundError is raised, if not logged in and if logged in with huggingface-cli but not having accepted the licence on the hub. There is no error once accepting.
### Steps to reproduce the bug
```
from datasets import load_dataset
imagenet =... | 2023-07-24T15:18:50Z | 5,570 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-23T16:44:32Z | https://api.github.com/repos/huggingface/datasets/issues/5570/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5570/timeline | load_dataset gives FileNotFoundError on imagenet-1k if license is not accepted on the hub | https://api.github.com/repos/huggingface/datasets/issues/5570/events | null | {
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"Hi, thanks for the feedback! Would it help to add a tip or note saying the dataset is gated and you need to accept the license before downloading it?",
"The error is now more informative:\r\n```\r\nFileNotFoundError: Couldn't find a dataset script at /content/imagenet-1k/imagenet-1k.py or any data file in the sa... | {
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1,596,900,532 | https://api.github.com/repos/huggingface/datasets/issues/5568/labels{/name} | ### Describe the bug
Hello,
I like the new `to_iterable_dataset` feature but I noticed something that seems to be missing.
When using `to_iterable_dataset` to transform your map style dataset into iterable dataset, you lose valuable metadata like the features.
These metadata are useful if you want to interleav... | 2023-02-24T13:22:36Z | 5,568 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi ! Oh good catch. I think the features should be passed to `IterableDataset.from_generator()` in `to_iterable_dataset()` indeed.\r\n\r\nSetting this as a good first issue if someone would like to contribute, otherwise we can take care of it :)",
"#self-assign",
"seems like the feature parameter is missing fr... | {
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1,595,916,674 | https://api.github.com/repos/huggingface/datasets/issues/5566/labels{/name} | ### Feature request
Right now, we have to read the get the parquet file to the local storage. So having ability to read given the bucket directly address would be benificial
### Motivation
In a production set up, this feature can help us a lot. So we do not need move training datafiles in between storage.
### Yo... | 2023-02-23T11:03:29Z | 5,566 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi ! I think is in the scope of this other issue: to https://github.com/huggingface/datasets/issues/5281 "
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1,595,281,752 | https://api.github.com/repos/huggingface/datasets/issues/5565/labels{/name} | This way we can control the size of the record_batches/row_groups of arrow/parquet files.
This can be useful for `datasets-server` to keep control of the row groups size which can affect random access performance for audio/image/video datasets
Right now having 1,000 examples per row group cause some image dataset... | 2023-03-10T13:53:03Z | 5,565 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-22T15:09:30Z | https://api.github.com/repos/huggingface/datasets/issues/5565/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5565/timeline | Add writer_batch_size for ArrowBasedBuilder | https://api.github.com/repos/huggingface/datasets/issues/5565/events | null | {
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1,594,625,539 | https://api.github.com/repos/huggingface/datasets/issues/5562/labels{/name} | Removed mangle_dup_cols=True from BuilderConfig.
It triggered following deprecation warning:
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1,593,862,388 | https://api.github.com/repos/huggingface/datasets/issues/5561/labels{/name} | @huggingface/datasets do you think it would be useful? Motivation - sometimes PRs are like 30% "fix: style" commits :)
If so - I need to double check the config but for me locally it works as expected. | 2023-02-28T15:37:22Z | 5,561 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-21T17:35:07Z | https://api.github.com/repos/huggingface/datasets/issues/5561/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5561/timeline | Add pre-commit config yaml file to enable automatic code formatting | https://api.github.com/repos/huggingface/datasets/issues/5561/events | null | {
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1,593,809,978 | https://api.github.com/repos/huggingface/datasets/issues/5560/labels{/name} | This PR modifies `map` to:
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* when a map function fails, avoid throwing a chained exception in the single-proc mode | 2023-02-21T18:26:23Z | 5,560 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-21T16:56:17Z | https://api.github.com/repos/huggingface/datasets/issues/5560/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5560/timeline | Ensure last tqdm update in `map` | https://api.github.com/repos/huggingface/datasets/issues/5560/events | null | {
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1,593,676,489 | https://api.github.com/repos/huggingface/datasets/issues/5559/labels{/name} | #5455 introduced a small bug that lead `map` to ignore the `suffix_template` argument and not put suffixes to cached files in multiprocessing.
I fixed this and also improved a few things:
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1,593,545,324 | https://api.github.com/repos/huggingface/datasets/issues/5557/labels{/name} | Otherwise it would show a `Map` progress bar, since it uses `map` under the hood | 2023-02-21T14:19:54Z | 5,557 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-21T14:04:42Z | https://api.github.com/repos/huggingface/datasets/issues/5557/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5557/timeline | Add filter desc | https://api.github.com/repos/huggingface/datasets/issues/5557/events | null | {
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1,593,246,936 | https://api.github.com/repos/huggingface/datasets/issues/5556/labels{/name} | ...instead of relying on the optional librosa dependency `resampy`.
It was only used for `_decode_non_mp3_file_like` anyway and not for the other ones - removing it fixes consistency between decoding methods (except torchaudio decoding)
Therefore I think it is a better solution than adding `resampy` as a dependen... | 2023-02-21T12:49:50Z | 5,556 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-21T10:45:50Z | https://api.github.com/repos/huggingface/datasets/issues/5556/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5556/timeline | Use default audio resampling type | https://api.github.com/repos/huggingface/datasets/issues/5556/events | null | {
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1,592,469,938 | https://api.github.com/repos/huggingface/datasets/issues/5555/labels{/name} | ### Describe the bug
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In [16], line 1
----> 1 train_dataset = train_dataset.shuffle()
File /opt/conda/envs/pytorch/lib/python3.9/site-packages/dataset... | 2023-02-27T09:23:34Z | 5,555 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-20T21:33:45Z | https://api.github.com/repos/huggingface/datasets/issues/5555/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5555/timeline | `.shuffle` throwing error `ValueError: Protocol not known: parent` | https://api.github.com/repos/huggingface/datasets/issues/5555/events | null | {
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"Hi ! The indices mapping is written in the same cachedirectory as your dataset.\r\n\r\nCan you run this to show your current cache directory ?\r\n```python\r\nprint(train_dataset.cache_files)\r\n```",
"```\r\n[{'filename': '.../train/dataset.arrow'}, {'filename': '.../train/dataset.arrow'}]\r\n```\r\n\r\nThese a... | {
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1,592,285,062 | https://api.github.com/repos/huggingface/datasets/issues/5554/labels{/name} | In librosa 0.10 they removed the `resmpy` dependency and set it to optional.
However it is necessary for resampling. I added it to the "audio" extra dependencies. | 2023-09-24T10:07:29Z | 5,554 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-20T18:15:43Z | https://api.github.com/repos/huggingface/datasets/issues/5554/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5554/timeline | Add resampy dep | https://api.github.com/repos/huggingface/datasets/issues/5554/events | null | {
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1,592,236,998 | https://api.github.com/repos/huggingface/datasets/issues/5553/labels{/name} | Solves #5539 | 2023-02-21T13:08:25Z | 5,553 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-20T17:29:14Z | https://api.github.com/repos/huggingface/datasets/issues/5553/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5553/timeline | improved message error row formatting | https://api.github.com/repos/huggingface/datasets/issues/5553/events | null | {
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1,592,186,703 | https://api.github.com/repos/huggingface/datasets/issues/5552/labels{/name} | Fix for https://discord.com/channels/879548962464493619/1075729627546406912/1075729627546406912
| 2023-02-21T13:20:42Z | 5,552 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-20T16:50:09Z | https://api.github.com/repos/huggingface/datasets/issues/5552/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5552/timeline | Make tiktoken tokenizers hashable | https://api.github.com/repos/huggingface/datasets/issues/5552/events | null | {
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1,592,140,836 | https://api.github.com/repos/huggingface/datasets/issues/5551/labels{/name} | This is kinda unimportant fix but, the suggested `pip install sklearn` does not work.
The current error message if sklearn is not installed:
```
ImportError: To be able to use [dataset name], you need to install the following dependency: sklearn.
Please install it using 'pip install sklearn' for instance.
```
... | 2023-02-21T13:27:57Z | 5,551 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-20T16:16:57Z | https://api.github.com/repos/huggingface/datasets/issues/5551/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5551/timeline | Suggest scikit-learn instead of sklearn | https://api.github.com/repos/huggingface/datasets/issues/5551/events | null | {
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"good catch!",
"_The documentation is not available anymore as the PR was closed or merged._",
"The test fail is unrelated to this PR and fixed on `main` - merging :)",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: ... | {
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1,591,409,475 | https://api.github.com/repos/huggingface/datasets/issues/5550/labels{/name} | Hello!
## Pull Request overview
* Resolve 4 broken references in the docs
## The problems
Two broken references [here](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.class_encode_column):
![image](https://user-images.githubusercontent.com/37621491/220056232-366b64dc-33c9-... | 2023-02-20T15:16:13Z | 5,550 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-20T08:52:11Z | https://api.github.com/repos/huggingface/datasets/issues/5550/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5550/timeline | Resolve four broken refs in the docs | https://api.github.com/repos/huggingface/datasets/issues/5550/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"See the resolved changes [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5550/en/package_reference/main_classes#datasets.Dataset.class_encode_column), [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5550/en/pa... | {
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1,590,836,848 | https://api.github.com/repos/huggingface/datasets/issues/5549/labels{/name} | Fix #5548
Apply ruff's flake8-comprehension checks for better performance, and more readable code. | 2023-02-23T14:06:39Z | 5,549 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-19T20:09:28Z | https://api.github.com/repos/huggingface/datasets/issues/5549/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5549/timeline | Apply ruff flake8-comprehension checks | https://api.github.com/repos/huggingface/datasets/issues/5549/events | null | {
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1,590,835,479 | https://api.github.com/repos/huggingface/datasets/issues/5548/labels{/name} | ### Feature request
Apply ruff flake8 comprehension checks to codebase.
### Motivation
This should strictly improve the performance / readability of the codebase by removing unnecessary iteration, function calls, etc. This should generate better Python bytecode which should strictly improve performance.
I alread... | 2023-02-23T13:59:41Z | 5,548 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,590,468,200 | https://api.github.com/repos/huggingface/datasets/issues/5547/labels{/name} | ## What's in this PR?
After exploring for a while the JAX integration in 🤗`datasets`, I found out that, even though JAX prioritizes the TPU and GPU as the default device when available, the `JaxFormatter` doesn't let you specify the device where you want to place the `jax.Array`s in case you don't want to rely on J... | 2023-02-21T16:10:55Z | 5,547 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-18T20:57:40Z | https://api.github.com/repos/huggingface/datasets/issues/5547/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5547/timeline | Add JAX device selection when formatting | https://api.github.com/repos/huggingface/datasets/issues/5547/events | null | {
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"The code below was throwing a warning:\r\n\r\n```python\r\nclass JaxFormatter(Formatter[Mapping, \"jax.Array\", Mapping]):\r\n def __init__(self, features=None, device=None, **jnp_array_kwargs):\r\n super().__init__(features=features)\r\n import jax\r\n from jaxlib.xla_extension import Devi... | {
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1,590,346,349 | https://api.github.com/repos/huggingface/datasets/issues/5546/labels{/name} | ### Describe the bug
In the huggingface course (https://huggingface.co/course/chapter3/2?fw=pt) it said that if we set HF_HOME, downloaded datasets would be cached at specified address but it does not. downloaded models from checkpoint names are downloaded and cached at HF_HOME but this is not the case for datasets, t... | 2023-07-24T14:22:43Z | 5,546 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-18T13:30:35Z | https://api.github.com/repos/huggingface/datasets/issues/5546/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5546/timeline | Downloaded datasets do not cache at $HF_HOME | https://api.github.com/repos/huggingface/datasets/issues/5546/events | null | {
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"Hi ! Can you make sure you set `HF_HOME` before importing `datasets` ?\r\n\r\nThen you can print\r\n```python\r\nprint(datasets.config.HF_CACHE_HOME)\r\nprint(datasets.config.HF_DATASETS_CACHE)\r\n```"
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1,590,315,972 | https://api.github.com/repos/huggingface/datasets/issues/5545/labels{/name} | Hi,
I was missing the ability to easily open the pushed dataset and it seemed like a quick fix.
Maybe we also want to log this info somewhere, but let me know if I need to add that too.
Cheers,
David | 2023-12-18T16:57:56Z | 5,545 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-18T11:26:25Z | https://api.github.com/repos/huggingface/datasets/issues/5545/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5545/timeline | Added return methods for URL-references to the pushed dataset | https://api.github.com/repos/huggingface/datasets/issues/5545/events | null | {
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"Hi ! Maybe we'd need to align with `transformers` and other libraries that implement `push_to_hub` to agree on what it should return.\r\n\r\ne.g. in `transformers` the typing says it returns a string, but in practice it returns a `CommitInfo`.\r\n\r\nTherefore I'd not add an output to `push_to_hub` here unless we ... | {
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1,588,951,379 | https://api.github.com/repos/huggingface/datasets/issues/5543/labels{/name} | ### Describe the bug
in #3627, the host url of the pile dataset became `https://mystic.the-eye.eu`. Now the new url is broken, but `https://the-eye.eu` seems to work again.
### Steps to reproduce the bug
```python3
from datasets import load_dataset
dataset = load_dataset("bookcorpusopen")
```
shows
```python3
... | 2023-02-21T06:37:00Z | 5,543 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-17T08:40:11Z | https://api.github.com/repos/huggingface/datasets/issues/5543/comments | {
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"Thanks for reporting, @wjfwzzc.\r\n\r\nI am transferring this issue to the corresponding dataset on the Hub: https://huggingface.co/datasets/bookcorpusopen/discussions/1",
"Thank you. All fixes are done:\r\n- [x] https://huggingface.co/datasets/bookcorpusopen/discussions/2\r\n- [x] https://huggingface.co/dataset... | {
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1,588,633,724 | https://api.github.com/repos/huggingface/datasets/issues/5542/labels{/name} | Fixes https://github.com/huggingface/datasets/issues/5541 | 2023-02-17T19:20:49Z | 5,542 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-17T01:52:38Z | https://api.github.com/repos/huggingface/datasets/issues/5542/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5542/timeline | Avoid saving sparse ChunkedArrays in pyarrow tables | https://api.github.com/repos/huggingface/datasets/issues/5542/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | {
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1,588,633,555 | https://api.github.com/repos/huggingface/datasets/issues/5541/labels{/name} | ### Describe the bug
If we perform a `select` (or `shuffle`, `train_test_split`, etc.) operation on a dataset , we end up with a dataset with an `indices_table`. Currently, flattening such dataset consumes a lot of memory and the resulting flat dataset contains ChunkedArrays with as many chunks as there are rows. Thi... | 2023-02-22T13:15:20Z | 5,541 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-17T01:52:24Z | https://api.github.com/repos/huggingface/datasets/issues/5541/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5541/timeline | Flattening indices in selected datasets is extremely inefficient | https://api.github.com/repos/huggingface/datasets/issues/5541/events | null | {
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"Running the script above on the branch https://github.com/huggingface/datasets/pull/5542 results in the expected behaviour:\r\n```\r\nNum chunks for original ds: 1\r\nOriginal ds save/load\r\nsave_to_disk -- RAM memory used: 0.671875 MB -- Total time: 0.255265 s\r\nload_from_disk -- RAM memory used: 42.796875 MB -... | {
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1,588,438,344 | https://api.github.com/repos/huggingface/datasets/issues/5540/labels{/name} | A tutorial for creating datasets based on the folder-based builders and `from_dict` and `from_generator` methods. I've also mentioned loading scripts as a next step, but I think we should keep the tutorial focused on the low-code methods. Let me know what you think! 🙂 | 2023-02-17T18:50:46Z | 5,540 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-16T22:09:35Z | https://api.github.com/repos/huggingface/datasets/issues/5540/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5540/timeline | Tutorial for creating a dataset | https://api.github.com/repos/huggingface/datasets/issues/5540/events | null | {
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1,587,970,083 | https://api.github.com/repos/huggingface/datasets/issues/5539/labels{/name} | ### Describe the bug
When dataset contains a 0-dim tensor, formatting.py raises a following error and fails.
```bash
Traceback (most recent call last):
File "<path>/lib/python3.8/site-packages/datasets/formatting/formatting.py", line 501, in format_row
return _unnest(formatted_batch)
File "<path>/lib/py... | 2023-02-22T10:30:30Z | 5,539 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi! The `set_transform` does not apply a custom formatting transform on a single example but the entire batch, so the fixed version of your transform would look as follows:\r\n```python\r\nfrom datasets import load_dataset\r\nimport torch\r\n\r\ndataset = load_dataset(\"lambdalabs/pokemon-blip-captions\", split='t... | {
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1,587,732,596 | https://api.github.com/repos/huggingface/datasets/issues/5538/labels{/name} | TimeoutError Traceback (most recent call last)
~\anaconda3\lib\urllib\request.py in do_open(self, http_class, req, **http_conn_args)
1345 try:
-> 1346 h.request(req.get_method(), req.selector, req.data, headers,
1347 encode_chu... | 2023-02-16T14:44:36Z | 5,538 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-16T14:01:58Z | https://api.github.com/repos/huggingface/datasets/issues/5538/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5538/timeline | load_dataset in seaborn is not working for me. getting this error. | https://api.github.com/repos/huggingface/datasets/issues/5538/events | null | {
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"Hi! `seaborn`'s `load_dataset` pulls datasets from [here](https://github.com/mwaskom/seaborn-data) and not from our Hub, so this issue is not related to our library in any way and should be reported in their repo instead."
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1,587,567,464 | https://api.github.com/repos/huggingface/datasets/issues/5537/labels{/name} | Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files.
This comes from `res... | 2023-12-15T13:12:31Z | 5,537 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"#self-assign",
"You were right, if `self.dir_cache` is not None in glob, it is exactly the same as what is returned by find, at least for all the tests we have, and some extended evaluation I did across a random sample of about 1000 datasets. \r\n\r\nThanks for the nice hints, and let me know if this is not exac... | {
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1,586,930,643 | https://api.github.com/repos/huggingface/datasets/issues/5536/labels{/name} | ### Describe the bug
_Parameter 'function'=<function process at 0x7f1ec4388af0> of the transform datasets.arrow_dataset.Dataset.\_map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and ca... | 2023-09-08T21:06:01Z | 5,536 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-16T03:12:07Z | https://api.github.com/repos/huggingface/datasets/issues/5536/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5536/timeline | Failure to hash function when using .map() | https://api.github.com/repos/huggingface/datasets/issues/5536/events | null | {
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"Hi ! `enc` is not hashable:\r\n```python\r\nimport tiktoken\r\nfrom datasets.fingerprint import Hasher\r\n\r\nenc = tiktoken.get_encoding(\"gpt2\")\r\nHasher.hash(enc)\r\n# raises TypeError: cannot pickle 'builtins.CoreBPE' object\r\n```\r\nIt happens because it's not picklable, and because of that it's not possib... | {
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1,586,520,369 | https://api.github.com/repos/huggingface/datasets/issues/5535/labels{/name} | ## What's in this PR?
As a follow-up of #5522, I've created this entry in the documentation to explain how to use `.with_format("jax")` and why is it useful.
@lhoestq Feel free to drop any feedback and/or suggestion, as probably more useful features can be included there! | 2023-02-20T10:39:42Z | 5,535 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-15T20:35:11Z | https://api.github.com/repos/huggingface/datasets/issues/5535/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5535/timeline | Add JAX-formatting documentation | https://api.github.com/repos/huggingface/datasets/issues/5535/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Awesome thank you !\r\n> \r\n> Could you also explain how to use certain types like ClassLabel, Image or Audio with jax ? You can get a lot of inspiration from the \"Other feature types\" section in the [PyTorch page](https://huggi... | {
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1,586,177,862 | https://api.github.com/repos/huggingface/datasets/issues/5534/labels{/name} | ### Describe the bug
`map()` magically breaks when using a `Array3D` feature and mapping it. I created a very simple dummy dataset (see below). When filtering it down to 95 elements I can apply map, but it breaks when filtering it down to just 96 entries with the following exception:
```
Traceback (most recent cal... | 2023-03-03T16:31:33Z | 5,534 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-15T16:34:25Z | https://api.github.com/repos/huggingface/datasets/issues/5534/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5534/timeline | map() breaks at certain dataset size when using Array3D | https://api.github.com/repos/huggingface/datasets/issues/5534/events | null | {
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"Hi! This code works for me locally or in Colab. What's the output of `python -c \"import pyarrow as pa; print(pa.__version__)\"` when you run it inside your environment?",
"Thanks for looking into this!\r\nThe output of `python -c \"import pyarrow as pa; print(pa.__version__)\"` is:\r\n```\r\n11.0.0\r\n```\r\n\... | {
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1,585,885,871 | https://api.github.com/repos/huggingface/datasets/issues/5533/labels{/name} | This PR closes #5496 .
I tried to imitate the `reduce`-method from `functools`, i.e. the function input must be a binary operation. I assume that the input type has an empty element, i.e. `input_type()` is defined, as the acumulant is instantiated as this object - im not sure that is this a reasonable assumption?
... | 2023-02-28T14:46:13Z | 5,533 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-15T13:44:01Z | https://api.github.com/repos/huggingface/datasets/issues/5533/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5533/timeline | Add reduce function | https://api.github.com/repos/huggingface/datasets/issues/5533/events | null | {
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"I agree that it would be a good idea to introduce a `combiner` argument in another PR.\r\n\r\nI did take quite a lot of inspiration from the implementation of `map`, but it did not seem obvious how to resuse `map` for the implementation. Do you have any suggestions, i could give a try?\r\n\r\nThose were exactly m... | {
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1,584,505,128 | https://api.github.com/repos/huggingface/datasets/issues/5532/labels{/name} | ### Describe the bug
When I have a dataset with very few (e.g. 1) examples per class and I call the train_test_split function on it, sometimes the single class will be in the test set. thus will never be considered for training.
### Steps to reproduce the bug
```
import numpy as np
from datasets import Dataset
... | 2023-02-15T16:09:19Z | 5,532 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-14T16:52:29Z | https://api.github.com/repos/huggingface/datasets/issues/5532/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5532/timeline | train_test_split in arrow_dataset does not ensure to keep single classes in test set | https://api.github.com/repos/huggingface/datasets/issues/5532/events | null | {
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"Hi! You can get this behavior by specifying `stratify_by_column=\"label\"` in `train_test_split`.\r\n\r\nThis is the full example:\r\n```python\r\nimport numpy as np\r\nfrom datasets import Dataset, ClassLabel\r\n\r\ndata = [\r\n {'label': 0, 'text': \"example1\"},\r\n {'label': 1, 'text': \"example2\"},\r\n... | {
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1,584,387,276 | https://api.github.com/repos/huggingface/datasets/issues/5531/labels{/name} | This code fails:
```python
from datasets import Dataset
ds = Dataset.from_json(path_to_file)
ds.data.validate()
```
raises
```python
ArrowInvalid: Column 2: In chunk 1: Invalid: Struct child array #3 invalid: Invalid: Length spanned by list offsets (4064) larger than values array (length 4063)
```
This ... | 2023-02-14T15:46:09Z | 5,531 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,582,938,241 | https://api.github.com/repos/huggingface/datasets/issues/5530/labels{/name} | ## What's in this PR?
As discussed with @lhoestq in https://github.com/huggingface/datasets/pull/5522, the license for `NumpyFormatter` at `datasets/formatting/np_formatter.py` was missing, but present on the rest of the `formatting/*.py` files. So this PR is basically to include it there. | 2023-02-14T14:40:41Z | 5,530 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-13T19:33:23Z | https://api.github.com/repos/huggingface/datasets/issues/5530/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5530/timeline | Add missing license in `NumpyFormatter` | https://api.github.com/repos/huggingface/datasets/issues/5530/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | {
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1,582,501,233 | https://api.github.com/repos/huggingface/datasets/issues/5529/labels{/name} | ## What's in this PR?
After playing around a little bit with 🤗`datasets` in Google Cloud Storage (GCS), I found out some things that should be fixed IMO in the code:
* `datasets.load_from_disk` is not checking whether `state.json` is there too when trying to load a `Dataset`, just `dataset_info.json` is checked
... | 2023-02-23T18:14:32Z | 5,529 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-13T14:54:55Z | https://api.github.com/repos/huggingface/datasets/issues/5529/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5529/timeline | Fix `datasets.load_from_disk`, `DatasetDict.load_from_disk` and `Dataset.load_from_disk` | https://api.github.com/repos/huggingface/datasets/issues/5529/events | null | {
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1,582,195,085 | https://api.github.com/repos/huggingface/datasets/issues/5528/labels{/name} | Fixes #5492.
Introduce new kwarg `create_pr` in `push_to_hub`, which is passed to `HFapi.upload_file`. | 2023-10-06T21:58:02Z | 5,528 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-13T11:43:47Z | https://api.github.com/repos/huggingface/datasets/issues/5528/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5528/timeline | Push to hub in a pull request | https://api.github.com/repos/huggingface/datasets/issues/5528/events | null | {
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1,581,228,531 | https://api.github.com/repos/huggingface/datasets/issues/5527/labels{/name} | fix https://github.com/huggingface/datasets/actions/runs/4156059127/jobs/7189576331 | 2023-02-13T10:29:03Z | 5,527 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-12T11:51:25Z | https://api.github.com/repos/huggingface/datasets/issues/5527/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5527/timeline | Fix benchmarks CI - pin protobuf | https://api.github.com/repos/huggingface/datasets/issues/5527/events | null | {
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1,580,488,133 | https://api.github.com/repos/huggingface/datasets/issues/5526/labels{/name} | Fixes #5428
Allow loading/saving of FAISS index using fsspec:
1. Simply use BufferedIOWriter/Reader to Read/Write indices on fsspec stream.
2. Needed `mockfs` in the test, so I took it out of the `TestCase`. Let me know if that makes sense.
I can work on the documentation once the code changes are approved.
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the quick review! I updated the code with your suggestion",
"Thanks for the quick review @albertvillanova! I updated the code with your suggestions",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n... | {
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1,580,342,729 | https://api.github.com/repos/huggingface/datasets/issues/5525/labels{/name} | ### Describe the bug
Processing a dataset I alredy uploaded to the Hub (https://huggingface.co/datasets/tj-solergibert/Europarl-ST) I found that for some splits and some languages (test split, source_lang = "nl") after applying a map function I get the mentioned error.
I alredy tried reseting the shorter strings... | 2023-02-14T17:41:08Z | 5,525 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-10T21:12:36Z | https://api.github.com/repos/huggingface/datasets/issues/5525/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5525/timeline | TypeError: Couldn't cast array of type string to null | https://api.github.com/repos/huggingface/datasets/issues/5525/events | null | {
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"Thanks for reporting, @TJ-Solergibert.\r\n\r\nWe cannot access your Colab notebook: `There was an error loading this notebook. Ensure that the file is accessible and try again.`\r\nCould you please make it publicly accessible?\r\n",
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1,580,219,454 | https://api.github.com/repos/huggingface/datasets/issues/5524/labels{/name} | Hi to whoever is reading this! 🤗
## What's in this PR?
~~Basically, I've removed the 🤗`datasets` installation as `python -m pip install ".[quality]" in the `check_code_quality` job in `.github/workflows/ci.yaml`, as we don't need to install the whole package to run the CI, unless that's done on purpose e.g. to ... | 2023-02-10T19:51:45Z | 5,524 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-10T19:35:50Z | https://api.github.com/repos/huggingface/datasets/issues/5524/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5524/timeline | [INVALID PR] | https://api.github.com/repos/huggingface/datasets/issues/5524/events | null | {
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1,580,193,015 | https://api.github.com/repos/huggingface/datasets/issues/5523/labels{/name} | ### Describe the bug
Verification of split names (=indexing data by split) happens after downloading the data. So when the split name is incorrect, users learn about that only after the data is fully downloaded, for large datasets it might take a lot of time.
### Steps to reproduce the bug
Load any dataset with rand... | 2023-02-10T19:14:50Z | 5,523 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,580,183,124 | https://api.github.com/repos/huggingface/datasets/issues/5522/labels{/name} | Hi to whoever is reading this! 🤗
## What's in this PR?
I was exploring the code regarding the `JaxFormatter` implemented in 🤗`datasets`, and found some things that IMO could be changed. Those are mainly regarding the docstrings and the type-hints based on `jax`'s 0.4.1 release where `jax.Array` was introduced a... | 2023-02-15T14:48:27Z | 5,522 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-10T19:05:00Z | https://api.github.com/repos/huggingface/datasets/issues/5522/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5522/timeline | Minor changes in JAX-formatting docstrings & type-hints | https://api.github.com/repos/huggingface/datasets/issues/5522/events | null | {
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"P.S. For more context, I'm currently exploring the integration of 🤗`datasets` with JAX, so in case you need any help or want me to try something specific just let me know! (`jnp.asarray`/`jnp.array(..., copy=False)` still no zero-copy 😭)",
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1,578,418,289 | https://api.github.com/repos/huggingface/datasets/issues/5521/labels{/name} | Fix https://github.com/huggingface/datasets/issues/5520. | 2023-02-13T20:40:48Z | 5,521 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-09T18:47:59Z | https://api.github.com/repos/huggingface/datasets/issues/5521/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5521/timeline | Fix bug when casting empty array to class labels | https://api.github.com/repos/huggingface/datasets/issues/5521/events | null | {
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1,578,417,074 | https://api.github.com/repos/huggingface/datasets/issues/5520/labels{/name} | ### Describe the bug
`ClassLabel.cast_storage` raises `TypeError` when called on an empty `IntegerArray`.
### Steps to reproduce the bug
Minimal steps:
```python
import pyarrow as pa
from datasets import ClassLabel
ClassLabel(names=['foo', 'bar']).cast_storage(pa.array([], pa.int64()))
```
In practice, thi... | 2023-02-12T11:17:18Z | 5,520 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-09T18:46:52Z | https://api.github.com/repos/huggingface/datasets/issues/5520/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5520/timeline | ClassLabel.cast_storage raises TypeError when called on an empty IntegerArray | https://api.github.com/repos/huggingface/datasets/issues/5520/events | null | {
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1,578,341,785 | https://api.github.com/repos/huggingface/datasets/issues/5519/labels{/name} | Use `ruff` for formatting instead of `isort` and `black` to be consistent with [`transformers`](https://github.com/huggingface/transformers/pull/21480) and [`hfh`](https://github.com/huggingface/huggingface_hub/pull/1323).
TODO:
- [x] ~Merge the community contributors' PR to avoid having to run `make style` on thei... | 2023-02-14T16:28:27Z | 5,519 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-09T17:50:21Z | https://api.github.com/repos/huggingface/datasets/issues/5519/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5519/timeline | Format code with `ruff` | https://api.github.com/repos/huggingface/datasets/issues/5519/events | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | {
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1,578,203,962 | https://api.github.com/repos/huggingface/datasets/issues/5518/labels{/name} | Fix https://github.com/huggingface/datasets/issues/3841 | 2023-02-13T13:55:49Z | 5,518 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-09T16:22:29Z | https://api.github.com/repos/huggingface/datasets/issues/5518/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5518/timeline | Remove py.typed | https://api.github.com/repos/huggingface/datasets/issues/5518/events | null | {
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1,577,976,608 | https://api.github.com/repos/huggingface/datasets/issues/5517/labels{/name} | ### Describe the bug
When I create a dataset with a `float64` feature, then apply numpy formatting the returned numpy arrays are silently downcasted to `float32`.
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.Dataset.from_dict({'a': [1.0, 2.0, 3.0]}).with_format("numpy")
print(... | 2024-01-18T08:42:17Z | 5,517 | {
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"Hi! This behavior stems from these lines:\r\n\r\nhttps://github.com/huggingface/datasets/blob/b065547654efa0ec633cf373ac1512884c68b2e1/src/datasets/formatting/np_formatter.py#L45-L46\r\n\r\nI agree we should preserve the original type whenever possible and downcast explicitly with a warning.\r\n\r\n@lhoestq Do you... | {
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1,577,661,640 | https://api.github.com/repos/huggingface/datasets/issues/5516/labels{/name} | Resolves #5482.
Attaches feature metadata to parquet files serialised using `Dataset.to_parquet`.
This allows retrieving data with "rich" feature types (e.g., `datasets.features.image.Image` or `datasets.features.audio.Audio`) from parquet files without cumbersome casting (for an example, see #5482).
@lhoest... | 2023-02-12T16:00:00Z | 5,516 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-09T10:52:15Z | https://api.github.com/repos/huggingface/datasets/issues/5516/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5516/timeline | Reload features from Parquet metadata | https://api.github.com/repos/huggingface/datasets/issues/5516/events | null | {
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"Thanks a lot for your help @lhoestq. I've simplified what turned out to be a simple fix and added the unit test.\r\n\r\nDoes this look ready to be merged or is there anything I'm still missing?",
"Cool ! I think you just need to remove the unused import in `io/parquet.py`\r\n```\r\nsrc/datasets/io/parquet.py:4:1... | {
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1,577,590,611 | https://api.github.com/repos/huggingface/datasets/issues/5515/labels{/name} | * Updating type annotations for #`load_from_cache_file`
* Added logic for cache checking if needed
* Updated documentation following the wording of `Dataset.map` | 2023-02-14T15:38:13Z | 5,515 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-09T10:04:46Z | https://api.github.com/repos/huggingface/datasets/issues/5515/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5515/timeline | Unify `load_from_cache_file` type and logic | https://api.github.com/repos/huggingface/datasets/issues/5515/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The commit also includes the changes to the `DatasetDict` methods or am I missing something?",
"Oh, indeed. Feel free to mark the PR as \"Ready for review\" then.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0... | {
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1,576,453,837 | https://api.github.com/repos/huggingface/datasets/issues/5514/labels{/name} | ### Feature request
1. Replace the `load_from_cache_file` default value to `True`.
2. Remove or alter checks from `is_caching_enabled` logic.
### Motivation
I stumbled over an inconsistency in the `Dataset.map` interface. The documentation (and source) states for the parameter `load_from_cache_file`:
```
load_... | 2023-02-14T14:26:44Z | 5,514 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi, thanks for noticing this! We can't just remove the cache control as this allows us to control where the arrow files generated by the ops are written (cached on disk if enabled or a temporary directory if disabled). The right way to address this inconsistency would be by having `load_from_cache_file=None` by de... | {
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1,576,300,803 | https://api.github.com/repos/huggingface/datasets/issues/5513/labels{/name} | Hi @mariosasko, @lhoestq, or whoever reads this! :)
After going through `ArrowDataset.set_format` I found out that the `type` param is actually named `type` which is a Python reserved name as you may already know, shouldn't that be renamed to `format_type` before the 3.0.0 is released?
Just wanted to get your inp... | 2023-07-24T16:02:18Z | 5,513 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-08T15:13:46Z | https://api.github.com/repos/huggingface/datasets/issues/5513/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5513/timeline | Some functions use a param named `type` shouldn't that be avoided since it's a Python reserved name? | https://api.github.com/repos/huggingface/datasets/issues/5513/events | null | {
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"Hi! Let's not do this - renaming it would be a breaking change, and going through the deprecation cycle is only worth it if it improves user experience.",
"Hi @mariosasko, ok it makes sense. Anyway, don't you think it's worth it at some point to start a deprecation cycle e.g. `fs` in `load_from_disk`? It doesn't... | {
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1,576,142,432 | https://api.github.com/repos/huggingface/datasets/issues/5512/labels{/name} | I implemented `__getitems__` to speed up batched data loading in PyTorch
close https://github.com/huggingface/datasets/issues/5505 | 2023-02-19T18:35:09Z | 5,512 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-08T13:38:59Z | https://api.github.com/repos/huggingface/datasets/issues/5512/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5512/timeline | Speed up batched PyTorch DataLoader | https://api.github.com/repos/huggingface/datasets/issues/5512/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | {
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1,575,851,768 | https://api.github.com/repos/huggingface/datasets/issues/5511/labels{/name} | ### Describe the bug
I often want to create a dummy dataset from a bigger dataset for fast iteration when training. However, I'm having a hard time doing this especially when trying to upload the dataset to the Hub.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset... | 2023-12-28T18:21:01Z | 5,511 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-08T10:18:41Z | https://api.github.com/repos/huggingface/datasets/issues/5511/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5511/timeline | Creating a dummy dataset from a bigger one | https://api.github.com/repos/huggingface/datasets/issues/5511/events | null | {
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"Update `datasets` or downgrade `huggingface-hub` ;)\r\n\r\nThe `huggingface-hub` lib did a breaking change a few months ago, and you're using an old version of `datasets` that does't support it",
"Awesome thanks a lot! Everything works just fine with `datasets==2.9.0` :-) ",
"Getting same error with latest ver... | {
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1,575,191,549 | https://api.github.com/repos/huggingface/datasets/issues/5510/labels{/name} | Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com> | 2023-02-24T16:45:09Z | 5,510 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-07T23:30:26Z | https://api.github.com/repos/huggingface/datasets/issues/5510/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5510/timeline | Milvus integration for search | https://api.github.com/repos/huggingface/datasets/issues/5510/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5510). All of your documentation changes will be reflected on that endpoint.",
"To the maintainer, sorry about the repeated run requests for formatting. Missed the `make style` outlined in contributing guidelines. ",
"Anythin... | {
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1,574,177,320 | https://api.github.com/repos/huggingface/datasets/issues/5509/labels{/name} | This adds a static `__all__` field to `__init__.py`, allowing typecheckers to know which symbols are accessible from `datasets` at runtime. In particular [Pyright](https://github.com/microsoft/pylance-release/issues/2328#issuecomment-1029381258) seems to rely on this. At this point I have added all (modulo oversight) t... | 2023-02-08T17:48:24Z | 5,509 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-07T11:42:40Z | https://api.github.com/repos/huggingface/datasets/issues/5509/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5509/timeline | Add a static `__all__` to `__init__.py` for typecheckers | https://api.github.com/repos/huggingface/datasets/issues/5509/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5509). All of your documentation changes will be reflected on that endpoint.",
"Hi! I've commented on the original issue to provide some context. Feel free to share your opinion there."
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1,573,290,359 | https://api.github.com/repos/huggingface/datasets/issues/5508/labels{/name} | ### Describe the bug
Saving a dataset after setting format to torch doesn't work, but only if filtering
### Steps to reproduce the bug
```
a = Dataset.from_dict({"b": [1, 2]})
a.set_format('torch')
a.save_to_disk("test_save") # saves successfully
a.filter(None).save_to_disk("test_save_filter") # does not
>> [..... | 2023-02-09T14:55:26Z | 5,508 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-06T21:08:58Z | https://api.github.com/repos/huggingface/datasets/issues/5508/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5508/timeline | Saving a dataset after setting format to torch doesn't work, but only if filtering | https://api.github.com/repos/huggingface/datasets/issues/5508/events | null | {
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"Hey, I'm a research engineer working on language modelling wanting to contribute to open source. I was wondering if I could give it a shot?",
"Hi! This issue was fixed in https://github.com/huggingface/datasets/pull/4972, so please install `datasets>=2.5.0` to avoid it."
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1,572,667,036 | https://api.github.com/repos/huggingface/datasets/issues/5507/labels{/name} | _Originally [posted](https://huggingface.slack.com/archives/C02V51Q3800/p1675443873878489?thread_ts=1675418893.373479&cid=C02V51Q3800) on Slack_
Considering all this, perhaps for Datasets 3.0, we can do the following:
* [ ] have `continuous=True` by default in `.shard` (requested in the survey and makes more sense... | 2023-02-28T18:19:18Z | 5,507 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,571,838,641 | https://api.github.com/repos/huggingface/datasets/issues/5506/labels{/name} | ### Describe the bug
I am training a Roberta model using 2 GPUs and the `Trainer` API with a batch size of 256.
Initially I used a standard `Dataset`, but had issues with slow data loading. After reading [this issue](https://github.com/huggingface/datasets/issues/2252), I swapped to loading my dataset as contiguous... | 2023-02-08T18:30:08Z | 5,506 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-06T03:26:03Z | https://api.github.com/repos/huggingface/datasets/issues/5506/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5506/timeline | IterableDataset and Dataset return different batch sizes when using Trainer with multiple GPUs | https://api.github.com/repos/huggingface/datasets/issues/5506/events | null | {
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"Hi ! `datasets` doesn't do batching - the PyTorch DataLoader does and is created by the `Trainer`. Do you pass other arguments to training_args with respect to data loading ?\r\n\r\nAlso we recently released `.to_iterable_dataset` that does pretty much what you implemented, but using contiguous shards to get a bet... | {
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1,571,720,814 | https://api.github.com/repos/huggingface/datasets/issues/5505/labels{/name} | ### Describe the bug
In [the docs here](https://huggingface.co/docs/datasets/use_with_pytorch#use-a-batchsampler), it mentions the issue of the Dataset being read one-by-one, then states that using a BatchSampler resolves the issue.
I'm not sure if this is a mistake in the docs or the code, but it seems that the on... | 2023-02-19T18:27:30Z | 5,505 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-06T01:14:55Z | https://api.github.com/repos/huggingface/datasets/issues/5505/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5505/timeline | PyTorch BatchSampler still loads from Dataset one-by-one | https://api.github.com/repos/huggingface/datasets/issues/5505/events | null | {
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"This change seems to come from a few months ago in the PyTorch side. That's good news and it means we may not need to pass a batch_sampler as soon as we add `Dataset.__getitems__` to get the optimal speed :)\r\n\r\nThanks for reporting ! Would you like to open a PR to add `__getitems__` and remove this outdated do... | {
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1,570,621,242 | https://api.github.com/repos/huggingface/datasets/issues/5504/labels{/name} | Fixes https://github.com/huggingface/datasets/issues/5495
I'm not sure whether we prefer a test here or if timestamps are known to be unsupported (like booleans). The current test at least covers the bug | 2023-02-08T17:28:50Z | 5,504 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-03T23:39:04Z | https://api.github.com/repos/huggingface/datasets/issues/5504/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5504/timeline | don't zero copy timestamps | https://api.github.com/repos/huggingface/datasets/issues/5504/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | {
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1,570,091,225 | https://api.github.com/repos/huggingface/datasets/issues/5502/labels{/name} | Added functionality implementation: sort datasets by multiple keys/columns as discussed in https://github.com/huggingface/datasets/issues/5425. | 2023-02-21T14:46:49Z | 5,502 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-03T16:17:00Z | https://api.github.com/repos/huggingface/datasets/issues/5502/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5502/timeline | Added functionality: sort datasets by multiple keys | https://api.github.com/repos/huggingface/datasets/issues/5502/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks! I've left some comments.\r\n> \r\n> We should also add some tests, mainly to make sure `reverse` behaves as expected. Let me know if you need help with that.\r\n\r\nThanks for the offer! I couldn't find any guidelines on ho... | {
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1,569,644,159 | https://api.github.com/repos/huggingface/datasets/issues/5501/labels{/name} | Original fix: https://github.com/huggingface/huggingface_hub/pull/1267
Not sure this function is actually still called though.
I haven't done benches on this. Is there a dataset where files are hosted on the hub through cloudfront so we can have the same setup as in `hf_hub` ? | 2023-02-09T11:04:11Z | 5,501 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-02-03T10:50:10Z | https://api.github.com/repos/huggingface/datasets/issues/5501/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5501/timeline | Increase chunk size for speeding up file downloads | https://api.github.com/repos/huggingface/datasets/issues/5501/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5501). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | {
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1,569,257,240 | https://api.github.com/repos/huggingface/datasets/issues/5500/labels{/name} | ### Describe the bug
I use the following scripts to download data from WMT19:
```python
import datasets
from datasets import inspect_dataset, load_dataset_builder
from wmt19.wmt_utils import _TRAIN_SUBSETS,_DEV_SUBSETS
## this is a must due to: https://discuss.huggingface.co/t/load-dataset-hangs-with-local-fi... | 2023-02-03T05:52:56Z | 5,500 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-03T05:45:37Z | https://api.github.com/repos/huggingface/datasets/issues/5500/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5500/timeline | WMT19 custom download checksum error | https://api.github.com/repos/huggingface/datasets/issues/5500/events | null | {
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"I update the `datatsets` version and it works."
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1,568,937,026 | https://api.github.com/repos/huggingface/datasets/issues/5499/labels{/name} | ### Feature request
When loading a dataset that has been cached locally, the `load_dataset` function takes a lot longer than it should take to fetch the dataset from disk (or memory).
This is particularly noticeable for smaller datasets. For example, wikitext-2, comparing `load_data` (once cached) and `load_from_disk... | 2023-02-07T19:35:11Z | 5,499 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi ! To skip the verification step that checks if newer data exist, you can enable offline mode with `HF_DATASETS_OFFLINE=1`.\r\n\r\nAlthough I agree this step should be much faster for datasets hosted on the HF Hub - we could just compare the commit hash from the local data and the remote git repository. We're no... | {
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1,568,190,529 | https://api.github.com/repos/huggingface/datasets/issues/5498/labels{/name} | ### Describe the bug
Hi,
Thanks for the amazing work on the library!
**Describe the bug**
I think I might have noticed a small bug in the filter method.
Having loaded a dataset using `load_dataset`, when I try to filter out empty entries with `batched=True`, I get a TypeError.
### Steps to reproduce the ... | 2023-10-08T06:12:47Z | 5,498 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-02-02T14:46:49Z | https://api.github.com/repos/huggingface/datasets/issues/5498/comments | null | https://api.github.com/repos/huggingface/datasets/issues/5498/timeline | TypeError: 'bool' object is not iterable when filtering a datasets.arrow_dataset.Dataset | https://api.github.com/repos/huggingface/datasets/issues/5498/events | null | {
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"Hi! Instead of a single boolean, your filter function should return an iterable (of booleans) in the batched mode like so:\r\n```python\r\ntrain_dataset = train_dataset.filter(\r\n function=lambda batch: [image is not None for image in batch[\"image\"]], \r\n batched=True,\r\n batc... | {
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