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https://github.com/huggingface/datasets/issues/5672 | 5,672 | Pushing dataset to hub crash | {
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"Hi ! It's been fixed by https://github.com/huggingface/datasets/pull/5598. We're doing a new release tomorrow with the fix and you'll be able to push your 100k images ;)\r\n\r\nBasically `push_to_hub` used to fail if the remote repository already exists and has a README.md without dataset_info in the YAML tags.\r\... | 2023-03-26T17:42:13Z | 2023-03-30T08:11:05Z | 2023-03-30T08:11:05Z | NONE | null | null | ### Describe the bug
Uploading a dataset with `push_to_hub()` fails without error description.
### Steps to reproduce the bug
Hey there,
I've built a image dataset of 100k images + text pair as described here https://huggingface.co/docs/datasets/image_dataset#imagefolder
Now I'm trying to push it to the hub b... | {
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https://github.com/huggingface/datasets/issues/5671 | 5,671 | How to use `load_dataset('glue', 'cola')` | {
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"Sounds like an issue with incompatible `transformers` dependencies versions.\r\n\r\nCan you try to update `transformers` ?\r\n\r\nEDIT: I checked the `transformers` dependencies and it seems like you need `tokenizers>=0.10.1,<0.11` with `transformers==4.5.1`\r\n\r\nEDIT2: this old version of `datasets` seems to im... | 2023-03-26T09:40:34Z | 2023-03-28T07:43:44Z | 2023-03-28T07:43:43Z | NONE | null | null | ### Describe the bug
I'm new to use HuggingFace datasets but I cannot use `load_dataset('glue', 'cola')`.
- I was stacked by the following problem:
```python
from datasets import load_dataset
cola_dataset = load_dataset('glue', 'cola')
------------------------------------------------------------------------... | {
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https://github.com/huggingface/datasets/issues/5670 | 5,670 | Unable to load multi class classification datasets | {
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"Hi ! This sounds related to https://github.com/huggingface/datasets/issues/5406\r\n\r\nUpdating `datasets` fixes the issue ;)",
"Thanks @lhoestq!\r\n\r\nI'll close this issue now."
] | 2023-03-25T18:06:15Z | 2023-03-27T22:54:56Z | 2023-03-27T22:54:56Z | NONE | null | null | ### Describe the bug
I've been playing around with huggingface library, mostly with `datasets` and wanted to download the multi class classification datasets to fine tune BERT on this task. ([link](https://huggingface.co/docs/transformers/training#train-with-pytorch-trainer)).
While loading the dataset, I'm getting... | {
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https://github.com/huggingface/datasets/issues/5669 | 5,669 | Almost identical datasets, huge performance difference | {
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"Do I miss something here?",
"Hi! \r\n\r\nThe first dataset stores images as bytes (the \"image\" column type is `datasets.Image()`) and decodes them as `PIL.Image` objects and the second dataset stores them as variable-length lists (the \"image\" column type is `datasets.Sequence(...)`)), so I guess going from `... | 2023-03-23T18:20:20Z | 2023-04-09T18:56:23Z | null | CONTRIBUTOR | null | null | ### Describe the bug
I am struggling to understand (huge) performance difference between two datasets that are almost identical.
### Steps to reproduce the bug
# Fast (normal) dataset speed:
```python
import cv2
from datasets import load_dataset
from torch.utils.data import DataLoader
dataset = load_dataset(... | null | {
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https://github.com/huggingface/datasets/pull/5668 | 5,668 | Support for downloading only provided split | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5668). All of your documentation changes will be reflected on that endpoint.",
"My previous comment didn't create the retro-link in the PR. I write it here again.\r\n\r\nYou can check the context and the discussions we had abou... | 2023-03-23T17:53:39Z | 2023-03-24T06:43:14Z | null | CONTRIBUTOR | true | {
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} | We can pass split to `_split_generators()`.
But I'm not sure if it's possible to solve cache issues, mostly with `dataset_info.json` | null | {
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https://github.com/huggingface/datasets/pull/5667 | 5,667 | Jax requires jaxlib | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | close https://github.com/huggingface/datasets/issues/5666 | {
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https://github.com/huggingface/datasets/issues/5666 | 5,666 | Support tensorflow 2.12.0 in CI | {
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] | closed | false | [] | 2023-03-23T14:37:51Z | 2023-03-23T16:14:54Z | 2023-03-23T16:14:54Z | MEMBER | null | null | Once we find out the root cause of:
- #5663
we should revert the temporary pin on tensorflow introduced by:
- #5664 | {
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https://github.com/huggingface/datasets/issues/5665 | 5,665 | Feature request: IterableDataset.push_to_hub | {
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"+1",
"+1",
"+1, should be possible now? :) https://huggingface.co/blog/xethub-joins-hf",
"Haha we're working hard to integrate Xet in the HF back-end, it will enable cool use cases :)\n\nAnyway about `IterableDataset.push_to_hub`, I'd be happy to to provide guidance and answer questions if anyone wants to st... | 2023-03-23T09:53:04Z | 2025-06-06T16:13:22Z | 2025-06-06T16:12:36Z | CONTRIBUTOR | null | null | ### Feature request
It'd be great to have a lazy push to hub, similar to the lazy loading we have with `IterableDataset`.
Suppose you'd like to filter [LAION](https://huggingface.co/datasets/laion/laion400m) based on certain conditions, but as LAION doesn't fit into your disk, you'd like to leverage streaming:
`... | {
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https://github.com/huggingface/datasets/pull/5664 | 5,664 | Fix CI by temporarily pinning tensorflow < 2.12.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As a hotfix for our CI, temporarily pin `tensorflow` upper version:
- In Python 3.10, tensorflow-2.12.0 also installs `jax`
Fix #5663
Until root cause is fixed. | {
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https://github.com/huggingface/datasets/issues/5663 | 5,663 | CI is broken: ModuleNotFoundError: jax requires jaxlib to be installed | {
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```
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_map_jax_in_memory - ModuleNotFoundError: jax requires jaxlib to be installed. See https://github.com/google/jax#installation for installati... | {
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https://github.com/huggingface/datasets/pull/5662 | 5,662 | Fix unnecessary dict comprehension | {
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- https://github.com/charliermarsh/ruff/releases/tag/v0.0.258
- https://github.com/charliermarsh/ruff/pull/3605
This PR fixes one unnecessary dict comprehension in our code: no need to unpack and re-pack the tuple valu... | {
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https://github.com/huggingface/datasets/issues/5661 | 5,661 | CI is broken: Unnecessary `dict` comprehension | {
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] | closed | false | [] | 2023-03-23T09:13:01Z | 2023-03-23T09:37:51Z | 2023-03-23T09:37:51Z | MEMBER | null | null | CI check_code_quality is broken:
```
src/datasets/arrow_dataset.py:3267:35: C416 [*] Unnecessary `dict` comprehension (rewrite using `dict()`)
Found 1 error.
``` | {
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https://github.com/huggingface/datasets/issues/5660 | 5,660 | integration with imbalanced-learn | {
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"You can convert any dataset to pandas to be used with imbalanced-learn using `.to_pandas()`\r\n\r\nOtherwise if you want to keep a `Dataset` object and still use e.g. [make_imbalance](https://imbalanced-learn.org/stable/references/generated/imblearn.datasets.make_imbalance.html#imblearn.datasets.make_imbalance), y... | 2023-03-22T11:05:17Z | 2023-07-06T18:10:15Z | 2023-07-06T18:10:15Z | NONE | null | null | ### Feature request
Wouldn't it be great if the various class balancing operations from imbalanced-learn were available as part of datasets?
### Motivation
I'm trying to use imbalanced-learn to balance a dataset, but it's not clear how to get the two to interoperate - what would be great would be some examples. I'v... | {
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https://github.com/huggingface/datasets/issues/5659 | 5,659 | [Audio] Soundfile/libsndfile requirements too stringent for decoding mp3 files | {
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"@sanchit-gandhi can you please also post the logs of `pip install soundfile==0.12.1`? To check what wheel is being installed or if it's being built from source (I think it's the latter case). \r\nRequired `libsndfile` binary **should** be bundeled with `soundfile` wheel but I assume... | 2023-03-22T10:07:33Z | 2024-07-12T01:35:01Z | 2023-04-07T08:51:28Z | CONTRIBUTOR | null | null | ### Describe the bug
I'm encountering several issues trying to load mp3 audio files using `datasets` on a TPU v4.
The PR https://github.com/huggingface/datasets/pull/5573 updated the audio loading logic to rely solely on the `soundfile`/`libsndfile` libraries for loading audio samples, regardless of their file t... | {
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https://github.com/huggingface/datasets/pull/5658 | 5,658 | docs: Update num_shards docs to mention num_proc on Dataset and DatasetDict | {
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https://github.com/huggingface/datasets/pull/5656 | 5,656 | Fix `fsspec.open` when using an HTTP proxy | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Most HTTP(S) downloads from this library support proxy automatically by reading the `HTTP_PROXY` environment variable (et al.) because `requests` is widely used. However, in some parts of the code, `fsspec` is used, which in turn uses `aiohttp` for HTTP(S) requests (as opposed to `requests`), which in turn doesn't supp... | {
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https://github.com/huggingface/datasets/pull/5655 | 5,655 | Improve features decoding in to_iterable_dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Following discussion at https://github.com/huggingface/datasets/pull/5589
Right now `to_iterable_dataset` on images/audio hurts iterable dataset performance a lot (e.g. x4 slower because it encodes+decodes images/audios unnecessarily).
I fixed it by providing a generator that yields undecoded examples | {
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https://github.com/huggingface/datasets/issues/5654 | 5,654 | Offset overflow when executing Dataset.map | {
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"Upd. the above code works if we replace `25` with `1`, but the result value at key \"hr\" is not a tensor but a list of lists of lists of uint8.\r\n\r\nAdding `train_data.set_format(\"torch\")` after map fixes this, but the original issue remains\r\n\r\n",
"As a workaround, one can replace\r\n`return {\"hr\": to... | 2023-03-21T09:33:27Z | 2023-03-21T10:32:07Z | null | NONE | null | null | ### Describe the bug
Hi, I'm trying to use `.map` method to cache multiple random crops from the image to speed up data processing during training, as the image size is too big.
The map function executes all iterations, and then returns the following error:
```bash
Traceback (most recent call last): ... | null | {
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https://github.com/huggingface/datasets/issues/5653 | 5,653 | Doc: save_to_disk, `num_proc` will affect `num_shards`, but it's not documented | {
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"I agree this should be documented"
] | 2023-03-21T05:25:35Z | 2023-03-24T16:36:23Z | 2023-03-24T16:36:23Z | NONE | null | null | ### Describe the bug
[`num_proc`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.DatasetDict.save_to_disk.num_proc) will affect `num_shards`, but it's not documented
### Steps to reproduce the bug
Nothing to reproduce
### Expected behavior
[document of `num_shards`](https://... | {
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https://github.com/huggingface/datasets/pull/5652 | 5,652 | Copy features | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Some users (even internally at HF) are doing
```python
dset_features = dset.features
dset_features.pop(col_to_remove)
dset = dset.map(..., features=dset_features)
```
Right now this causes issues because it modifies the features dict in place before the map.
In this PR I modified `dset.features` to return a ... | {
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https://github.com/huggingface/datasets/issues/5651 | 5,651 | expanduser in save_to_disk | {
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"`save_to_disk` should indeed expand `~`. Marking it as a \"good first issue\".",
"#self-assign\r\n\r\nFile path to code: \r\n\r\nhttps://github.com/huggingface/datasets/blob/2.13.0/src/datasets/arrow_dataset.py#L1364\r\n\r\n@RmZeta2718 I created a pull request for this issue. ",
"Hello, \r\nIt says `save_to_di... | 2023-03-20T12:02:18Z | 2023-10-27T14:04:37Z | 2023-10-27T14:04:37Z | NONE | null | null | ### Describe the bug
save_to_disk() does not expand `~`
1. `dataset = load_datasets("any dataset")`
2. `dataset.save_to_disk("~/data")`
3. a folder named "~" created in current folder
4. FileNotFoundError is raised, because the expanded path does not exist (`/home/<user>/data`)
related issue https://github.... | {
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https://github.com/huggingface/datasets/issues/5650 | 5,650 | load_dataset can't work correct with my image data | {
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"Can you post a reproducible code snippet of what you tried to do?\r\n\r\n",
"> Can you post a reproducible code snippet of what you tried to do?\n> \n> \n\n```python\nfrom datasets import load_dataset\n\ndataset = load_dataset(\"my_folder_name\", split=\"train\")\n```",
"hi @WiNE-iNEFF ! can you please also te... | 2023-03-18T13:59:13Z | 2023-07-24T14:13:02Z | 2023-07-24T14:13:01Z | NONE | null | null | I have about 20000 images in my folder which divided into 4 folders with class names.
When i use load_dataset("my_folder_name", split="train") this function create dataset in which there are only 4 images, the remaining 19000 images were not added there. What is the problem and did not understand. Tried converting imag... | {
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https://github.com/huggingface/datasets/issues/5649 | 5,649 | The index column created with .to_sql() is dependent on the batch_size when writing | {
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"Thanks for reporting, @lsb. \r\n\r\nWe are investigating it.\r\n\r\nOn the other hand, please note that in the next `datasets` release, the index will not be created by default (see #5583). If you would like to have it, you will need to explicitly pass `index=True`. ",
"I think this is low enough priority for me... | 2023-03-18T05:25:17Z | 2023-06-17T07:01:57Z | 2023-06-17T07:01:57Z | NONE | null | null | ### Describe the bug
It seems like the "index" column is designed to be unique? The values are only unique per batch. The SQL index is not a unique index.
This can be a problem, for instance, when building a faiss index on a dataset and then trying to match up ids with a sql export.
### Steps to reproduce the ... | {
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https://github.com/huggingface/datasets/issues/5648 | 5,648 | flatten_indices doesn't work with pandas format | {
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"Thanks for reporting! This can be fixed by setting the format to `arrow` in `flatten_indices` and restoring the original format after the flattening. I'm working on a PR that reduces the number of the `flatten_indices` calls in our codebase and makes `flatten_indices` a no-op when a dataset does not have an indice... | 2023-03-17T12:44:25Z | 2023-03-21T13:12:03Z | null | NONE | null | null | ### Describe the bug
Hi,
I noticed that `flatten_indices` throws an error when the batch format is `pandas`. This is probably due to the fact that flatten_indices uses map internally which doesn't accept dataframes as the transformation function output
### Steps to reproduce the bug
tabular_data = pd.DataFrame(np.r... | null | {
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https://github.com/huggingface/datasets/issues/5647 | 5,647 | Make all print statements optional | {
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"related to #5444 ",
"We now log these messages instead of printing them (addressed in #6019), so I'm closing this issue."
] | 2023-03-16T20:30:07Z | 2023-07-21T14:20:25Z | 2023-07-21T14:20:24Z | NONE | null | null | ### Feature request
Make all print statements optional to speed up the development
### Motivation
Im loading multiple tiny datasets and all the print statements make the loading slower
### Your contribution
I can help contribute | {
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https://github.com/huggingface/datasets/pull/5646 | 5,646 | Allow self as key in `Features` | {
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https://github.com/huggingface/datasets/issues/5645 | 5,645 | Datasets map and select(range()) is giving dill error | {
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"It looks like an error that we observed once in https://github.com/huggingface/datasets/pull/5166\r\n\r\nCan you try to update `datasets` ?\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\nif it doesn't work, can you make sure you don't have packages installed that may modify `dill`'s behavior, such as `apache-... | 2023-03-16T10:01:28Z | 2023-03-17T04:24:51Z | 2023-03-17T04:24:51Z | NONE | null | null | ### Describe the bug
I'm using Huggingface Datasets library to load the dataset in google colab
When I do,
> data = train_dataset.select(range(10))
or
> train_datasets = train_dataset.map(
> process_data_to_model_inputs,
> batched=True,
> batch_size=batch_size,
> remove_columns... | {
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https://github.com/huggingface/datasets/pull/5644 | 5,644 | Allow direct cast from binary to Audio/Image | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | To address https://github.com/huggingface/datasets/discussions/5593.
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https://github.com/huggingface/datasets/pull/5643 | 5,643 | Support PyArrow arrays as column values in `from_dict` | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | For consistency with `pa.Table.from_pydict`, which supports both Python lists and PyArrow arrays as column values.
"Fixes" https://discuss.huggingface.co/t/pyarrow-lib-floatarray-did-not-recognize-python-value-type-when-inferring-an-arrow-data-type/33417 | {
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https://github.com/huggingface/datasets/pull/5642 | 5,642 | Bump hfh to 0.11.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | to fix errors like
```
requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://hub-ci.huggingface.co/api/datasets/__DUMMY_TRANSFORMERS_USER__/...
```
(e.g. from this [failing CI](https://github.com/huggingface/datasets/actions/runs/4428956210/jobs/7769160997))
0.11.0 is the current mini... | {
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https://github.com/huggingface/datasets/issues/5641 | 5,641 | Features cannot be named "self" | {
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Hi,
I noticed that we cannot create a HuggingFace dataset from Pandas DataFrame with a column named `self`.
The error seems to be coming from arguments validation in the `Features.from_dict` function.
### Steps to reproduce the bug
```python
import datasets
dummy_pandas = pd.DataFrame([0... | {
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https://github.com/huggingface/datasets/pull/5640 | 5,640 | Less zip false positives | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | `zipfile.is_zipfile` return false positives for some Parquet files. It causes errors when loading certain parquet datasets, where some files are considered ZIP files by `zipfile.is_zipfile`
This is a known issue: https://github.com/python/cpython/issues/72680
At first I wanted to rely only on magic numbers, but t... | {
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https://github.com/huggingface/datasets/issues/5639 | 5,639 | Parquet file wrongly recognized as zip prevents loading a dataset | {
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When trying to `load_dataset_builder` for `HuggingFaceGECLM/StackExchange_Mar2023`, extraction fails, because parquet file [devops-00000-of-00001-22fe902fd8702892.parquet](https://huggingface.co/datasets/HuggingFaceGECLM/StackExchange_Mar2023/resolve/1f8c9a2ab6f7d0f9ae904b8b922e4384592ae1a5/data... | {
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https://github.com/huggingface/datasets/issues/5638 | 5,638 | xPath to implement all operations for Path | {
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" I think https://github.com/fsspec/universal_pathlib is the project you are looking for.\r\n\r\n`xPath` has the methods often used in dataset scripts, and `mkdir` is not one of them (`dl_manager`'s role is to \"interact\" with the file system, so using `mkdir` is discouraged).",
"Right is there a difference betw... | 2023-03-15T13:47:11Z | 2023-03-17T13:21:12Z | 2023-03-17T13:21:12Z | CONTRIBUTOR | null | null | ### Feature request
Current xPath implementation is a great extension of Path in order to work with remote objects. However some methods such as `mkdir` are not implemented correctly. It should instead rely on `fsspec` methods, instead of defaulting do `Path` methods which only work locally.
### Motivation
I'm using... | {
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https://github.com/huggingface/datasets/issues/5637 | 5,637 | IterableDataset with_format does not support 'device' keyword for jax | {
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"Hi! Yes, only `torch` is currently supported. Unlike `Dataset`, `IterableDataset` is not PyArrow-backed, so we cannot simply call `to_numpy` on the underlying subtables to format them numerically. Instead, we must manually convert examples to (numeric) arrays while preserving consistency with `Dataset`, which is n... | 2023-03-15T11:04:12Z | 2025-01-07T06:59:33Z | null | NONE | null | null | ### Describe the bug
As seen here: https://huggingface.co/docs/datasets/use_with_jax dataset.with_format() supports the keyword 'device', to put data on a specific device when loaded as jax. However, when called on an IterableDataset, I got the error `TypeError: with_format() got an unexpected keyword argument 'devi... | null | {
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https://github.com/huggingface/datasets/pull/5636 | 5,636 | Fix CI: ignore C901 ("some_func" is to complex) in `ruff` | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\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... | 2023-03-14T15:29:11Z | 2023-03-14T16:37:06Z | 2023-03-14T16:29:52Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | idk if I should have added this ignore to `ruff` too, but I added :) | {
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https://github.com/huggingface/datasets/pull/5635 | 5,635 | Pass custom metadata filename to Image/Audio folders | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5635). All of your documentation changes will be reflected on that endpoint.",
"I'm not a big fan of this new param - I find assigning metadata files to splits via the `data_files` param cleaner. Also, assuming that the metadat... | 2023-03-14T15:08:16Z | 2023-03-22T17:50:31Z | null | CONTRIBUTOR | true | {
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} | This is a quick fix.
Now it requires to pass data via `data_files` parameters and include a required metadata file there and pass its filename as `metadata_filename` parameter.
For example, with the structure like:
```
data
images_dir/
im1.jpg
im2.jpg
...
metadata_dir/
meta_file... | null | {
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https://github.com/huggingface/datasets/issues/5634 | 5,634 | Not all progress bars are showing up when they should for downloading dataset | {
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"Hi! \r\n\r\nBy default, tqdm has `leave=True` to \"keep all traces of the progress bar upon the termination of iteration\". However, we use `leave=False` in some places (as of recently), which removes the bar once the iteration is over.\r\n\r\nI feel like our TQDM bars are noisy, so I think we should always set `l... | 2023-03-13T23:04:18Z | 2023-10-11T16:30:16Z | 2023-10-11T16:30:16Z | NONE | null | null | ### Describe the bug
During downloading the rotten tomatoes dataset, not all progress bars are displayed properly. This might be related to [this ticket](https://github.com/huggingface/datasets/issues/5117) as it raised the same concern but its not clear if the fix solves this issue too.
ipywidgets
<img width=... | {
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https://github.com/huggingface/datasets/issues/5633 | 5,633 | Cannot import datasets | {
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"Okay, the issue was likely caused by mixing `conda` and `pip` usage - I forgot that I have already used `pip` in this environment previously and that it was 'spoiled' because of it. Creating another environment and installing `datasets` by pip with other packages from the `requirements.txt` file solved the problem... | 2023-03-13T13:14:44Z | 2023-03-13T17:54:19Z | 2023-03-13T17:54:19Z | NONE | null | null | ### Describe the bug
Hi,
I cannot even import the library :( I installed it by running:
```
$ conda install datasets
```
Then I realized I should maybe use the huggingface channel, because I encountered the error below, so I ran:
```
$ conda remove datasets
$ conda install -c huggingface datasets
```
Pl... | {
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https://github.com/huggingface/datasets/issues/5632 | 5,632 | Dataset cannot convert too large dictionnary | {
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"Answered on the forum:\r\n\r\n> To fix the overflow error, we need to merge [support LargeListArray in pyarrow by xwwwwww · Pull Request #4800 · huggingface/datasets · GitHub](https://github.com/huggingface/datasets/pull/4800), which adds support for the large lists. However, before merging it, we need to come up ... | 2023-03-13T10:14:40Z | 2023-03-16T15:28:57Z | null | NONE | null | null | ### Describe the bug
Hello everyone!
I tried to build a new dataset with the command "dict_valid = datasets.Dataset.from_dict({'input_values': values_array})".
However, I have a very large dataset (~400Go) and it seems that dataset cannot handle this.
Indeed, I can create the dataset until a certain size of m... | null | {
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https://github.com/huggingface/datasets/issues/5631 | 5,631 | Custom split names | {
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"Hi!\r\n\r\nYou can also use names other than \"train\", \"validation\" and \"test\". As an example, check the [script](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/blob/e095840f23f3dffc1056c078c2f9320dad9ca74d/common_voice_11_0.py#L139) of the Common Voice 11 dataset. "
] | 2023-03-12T17:21:43Z | 2023-03-24T14:13:00Z | 2023-03-24T14:13:00Z | NONE | null | null | ### Feature request
Hi,
I participated in multiple NLP tasks where there are more than just train, test, validation splits, there could be multiple validation sets or test sets. But it seems currently only those mentioned three splits supported. It would be nice to have the support for more splits on the hub. (curren... | {
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https://github.com/huggingface/datasets/pull/5630 | 5,630 | adds early exit if url is `PathLike` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5630). All of your documentation changes will be reflected on that endpoint."
] | 2023-03-12T11:23:28Z | 2023-03-15T11:58:38Z | null | NONE | false | {
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} | Closes #4864
Should fix errors thrown when attempting to load `json` dataset using `pathlib.Path` in `data_files` argument. | null | {
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https://github.com/huggingface/datasets/issues/5629 | 5,629 | load_dataset gives "403" error when using Financial phrasebank | {
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"Hi! You seem to be using an outdated version of `datasets` that downloads the older script version. To avoid the error, you can either pass `revision=\"main\"` to `load_dataset` (this can fail if a script uses newer features of the lib) or update your installation with `pip install -U datasets` (better solution)."... | 2023-03-11T07:46:39Z | 2023-03-13T18:27:26Z | null | NONE | null | null | When I try to load this dataset, I receive the following error:
ConnectionError: Couldn't reach https://www.researchgate.net/profile/Pekka_Malo/publication/251231364_FinancialPhraseBank-v10/data/0c96051eee4fb1d56e000000/FinancialPhraseBank-v10.zip (error 403)
Has this been seen before? Thanks. The website loads ... | null | {
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https://github.com/huggingface/datasets/pull/5628 | 5,628 | add kwargs to index search | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR proposes to add kwargs to index search methods.
This is particularly useful for setting the timeout of a query on elasticsearch.
A typical use case would be:
```python
dset.add_elasticsearch_index("filename", es_client=es_client)
scores, examples = dset.get_nearest_examples("filename", "my_name-train_2... | {
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https://github.com/huggingface/datasets/issues/5627 | 5,627 | Unable to load AutoTrain-generated dataset from the hub | {
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"The AutoTrain format is not supported right now. I think it would require a dedicated dataset builder",
"Okay, good to know. Thanks for the reply. For now I will just have to\nmanage the split manually before training, because I can’t find any way of\npulling out file indices or file names from the autogenerated... | 2023-03-10T17:25:58Z | 2023-03-11T15:44:42Z | null | NONE | null | null | ### Describe the bug
DatasetGenerationError: An error occurred while generating the dataset -> ValueError: Couldn't cast ... because column names don't match
```
ValueError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: struct<filename: string>
child 0, filename: string
... | null | {
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https://github.com/huggingface/datasets/pull/5626 | 5,626 | Support streaming datasets with numpy.load | {
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See: https://huggingface.co/datasets/qgallouedec/gia_dataset/discussions/1 | {
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https://github.com/huggingface/datasets/issues/5625 | 5,625 | Allow "jsonl" data type signifier | {
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"You can use \"json\" instead. It doesn't work by extension names, but rather by dataset builder names, e.g. \"text\", \"imagefolder\", etc. I don't think the example in `transformers` is correct because of that",
"Yes, I understand the reasoning but this issue is to propose that the example in transformers (whil... | 2023-03-10T13:21:48Z | 2023-03-11T10:35:39Z | null | CONTRIBUTOR | null | null | ### Feature request
`load_dataset` currently does not accept `jsonl` as type but only `json`.
### Motivation
I was working with one of the `run_translation` scripts and used my own datasets (`.jsonl`) as train_dataset. But the default code did not work because
```
FileNotFoundError: Couldn't find a dataset scri... | null | {
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https://github.com/huggingface/datasets/issues/5624 | 5,624 | glue datasets returning -1 for test split | {
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"Hi @lithafnium, thanks for reporting.\r\n\r\nPlease note that you can use the \"Community\" tab in the corresponding dataset page to start any discussion: https://huggingface.co/datasets/glue/discussions\r\n\r\nIndeed this issue was already raised there (https://huggingface.co/datasets/glue/discussions/5) and answ... | 2023-03-09T14:47:18Z | 2023-03-09T16:49:29Z | 2023-03-09T16:49:29Z | NONE | null | null | ### Describe the bug
Downloading any dataset from GLUE has -1 as class labels for test split. Train and validation have regular 0/1 class labels. This is also present in the dataset card online.
### Steps to reproduce the bug
```
dataset = load_dataset("glue", "sst2")
for d in dataset:
# prints out -1
... | {
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https://github.com/huggingface/datasets/pull/5623 | 5,623 | Remove set_access_token usage + fail tests if FutureWarning | {
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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 | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-03-09T08:46:01Z | 2023-03-09T15:39:00Z | 2023-03-09T15:31:59Z | CONTRIBUTOR | false | {
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This PR removes it from the tests (it was not used in `datasets` source code itself). FYI, it was not needed since `set_access_token` was just setting git credentials and `datasets` doesn't seem to use git anywhere.
In the future, us... | {
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https://github.com/huggingface/datasets/pull/5622 | 5,622 | Update README template to better template | {
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https://github.com/huggingface/datasets/pull/5621 | 5,621 | Adding Oracle Cloud to docs | {
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https://github.com/huggingface/datasets/pull/5620 | 5,620 | Bump pyarrow to 8.0.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix those for Pandas 2.0 (tested [here](https://github.com/huggingface/datasets/actions/runs/4346221280/jobs/7592010397) with pandas==2.0.0.rc0):
```python
=========================== short test summary info ============================
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_to_parquet_in_memory... | {
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https://github.com/huggingface/datasets/pull/5619 | 5,619 | unpin fsspec | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | close https://github.com/huggingface/datasets/issues/5618 | {
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https://github.com/huggingface/datasets/issues/5618 | 5,618 | Unpin fsspec < 2023.3.0 once issue fixed | {
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See:
- #5614 | {
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https://github.com/huggingface/datasets/pull/5617 | 5,617 | Fix CI by temporarily pinning fsspec < 2023.3.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As a hotfix for our CI, temporarily pin `fsspec`:
Fix #5616.
Until root cause is fixed, see:
- #5614 | {
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https://github.com/huggingface/datasets/issues/5616 | 5,616 | CI is broken after fsspec-2023.3.0 release | {
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```
FAILED tests/test_filesystem.py::test_compression_filesystems[Bz2FileSystem] - AssertionError: assert [{'created': ...: False, ...}] == ['file.txt']
At index 0 diff: {'name': 'file.txt', 'size': 70, 'type': 'file', 'created': 1678175677... | {
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https://github.com/huggingface/datasets/issues/5615 | 5,615 | IterableDataset.add_column is unable to accept another IterableDataset as a parameter. | {
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"Hi! You can use `concatenate_datasets([ids1, ids2], axis=1)` to do this."
] | 2023-03-07T01:52:00Z | 2023-03-09T15:24:05Z | 2023-03-09T15:23:54Z | NONE | null | null | ### Describe the bug
`IterableDataset.add_column` occurs an exception when passing another `IterableDataset` as a parameter.
The method seems to accept only eager evaluated values.
https://github.com/huggingface/datasets/blob/35b789e8f6826b6b5a6b48fcc2416c890a1f326a/src/datasets/iterable_dataset.py#L1388-L1391
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https://github.com/huggingface/datasets/pull/5614 | 5,614 | Fix archive fs test | {
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https://github.com/huggingface/datasets/issues/5613 | 5,613 | Version mismatch with multiprocess and dill on Python 3.10 | {
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"Sorry, I just found https://github.com/apache/beam/issues/24458. It seems this issue is being worked on. ",
"Reopening, since I think the docs should inform the user of this problem. For example, [this page](https://huggingface.co/docs/datasets/installation) says \r\n> Datasets is tested on Python 3.7+.\r\n\r\nb... | 2023-03-06T17:14:41Z | 2024-04-05T20:13:52Z | null | NONE | null | null | ### Describe the bug
Grabbing the latest version of `datasets` and `apache-beam` with `poetry` using Python 3.10 gives a crash at runtime. The crash is
```
File "/Users/adpauls/sc/git/DSI-transformers/data/NQ/create_NQ_train_vali.py", line 1, in <module>
import datasets
File "/Users/adpauls/Library/Caches/... | {
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https://github.com/huggingface/datasets/issues/5612 | 5,612 | Arrow map type in parquet files unsupported | {
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"I'm attaching a minimal reproducible example:\r\n```python\r\nfrom datasets import load_dataset\r\nimport pyarrow as pa\r\nimport pyarrow.parquet as pq\r\n\r\ntable_with_map = pa.Table.from_pydict(\r\n {\"a\": [1, 2], \"b\": [[(\"a\", 2)], [(\"b\", 4)]]},\r\n schema=pa.schema({\"a\": pa.int32(), \"b\": pa.ma... | 2023-03-06T12:03:24Z | 2024-03-15T18:56:12Z | null | CONTRIBUTOR | null | null | ### Describe the bug
When I try to load parquet files that were processed with Spark, I get the following issue:
`ValueError: Arrow type map<string, string ('warc_headers')> does not have a datasets dtype equivalent.`
Strangely, loading the dataset with `streaming=True` solves the issue.
### Steps to reproduce ... | null | {
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https://github.com/huggingface/datasets/pull/5611 | 5,611 | add Dataset.to_list | {
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"Hi, thanks for working on this! `Table.to_pylist` requires PyArrow 7.0+, and our minimal version requirement is 6.0, so we need to bump the version requirement to avoid CI failure. I'll do this in a separate PR.",
"<details>\n<summ... | 2023-03-06T11:21:57Z | 2023-03-27T13:34:19Z | 2023-03-27T13:26:38Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | close https://github.com/huggingface/datasets/issues/5606
This PR is for adding the `Dataset.to_list` method.
Thank you in advance.
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https://github.com/huggingface/datasets/issues/5610 | 5,610 | use datasets streaming mode in trainer ddp mode cause memory leak | {
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"Same problem, \r\ntransformers 4.28.1\r\ndatasets 2.12.0\r\n\r\nleak around 100Mb per 10 seconds when use dataloader_num_werker > 0 in training argumennts for transformer train, possile bug in transformers repo, but still not found solution :(\r\n",
"found an article described a problem, may be helpful for someb... | 2023-03-06T05:26:49Z | 2024-03-07T01:11:32Z | null | NONE | null | null | ### Describe the bug
use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data import Dataset, DataLoader, random_split, RandomSampler, Sequenti... | null | {
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https://github.com/huggingface/datasets/issues/5609 | 5,609 | `load_from_disk` vs `load_dataset` performance. | {
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"Hi! We've recently made some improvements to `save_to_disk`/`list_to_disk` (100x faster in some scenarios), so it would help if you could install `datasets` directly from `main` (`pip install git+https://github.com/huggingface/datasets.git`) and re-run the \"benchmark\".",
"Great to hear! I'll give it a try when... | 2023-03-05T05:27:15Z | 2023-07-13T18:48:05Z | null | NONE | null | null | ### Describe the bug
I have downloaded `openwebtext` (~12GB) and filtered out a small amount of junk (it's still huge). Now, I would like to use this filtered version for future work. It seems I have two choices:
1. Use `load_dataset` each time, relying on the cache mechanism, and re-run my filtering.
2. `save_to_di... | null | {
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https://github.com/huggingface/datasets/issues/5608 | 5,608 | audiofolder only creates dataset of 13 rows (files) when the data folder it's reading from has 20,000 mp3 files. | {
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"Hi!\r\n\r\n> naming convention of mp3 files\r\n\r\nYes, this could be the problem. MP3 files should end with `.mp3`/`.MP3` to be recognized as audio files.\r\n\r\nIf the file names are not the culprit, can you paste the audio folder's directory structure to help us reproduce the error (e.g., by running the `tree ... | 2023-03-05T00:14:45Z | 2023-03-12T00:02:57Z | 2023-03-12T00:02:57Z | NONE | null | null | ### Describe the bug
x = load_dataset("audiofolder", data_dir="x")
When running this, x is a dataset of 13 rows (files) when it should be 20,000 rows (files) as the data_dir "x" has 20,000 mp3 files. Does anyone know what could possibly cause this (naming convention of mp3 files, etc.)
### Steps to reproduce the b... | {
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https://github.com/huggingface/datasets/pull/5607 | 5,607 | Fix outdated `verification_mode` values | {
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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==8.0.0\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... | 2023-03-03T19:50:29Z | 2023-03-09T17:34:13Z | 2023-03-09T17:27:07Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ~I think it makes sense not to save `dataset_info.json` file to a dataset cache directory when loading dataset with `verification_mode="no_checks"` because otherwise when next time the dataset is loaded **without** `verification_mode="no_checks"`, it will be loaded successfully, despite some values in info might not co... | {
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https://github.com/huggingface/datasets/issues/5606 | 5,606 | Add `Dataset.to_list` to the API | {
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"Hello, I have an interest in this issue.\r\nIs the `Dataset.to_dict` you are describing correct in the code here?\r\n\r\nhttps://github.com/huggingface/datasets/blob/35b789e8f6826b6b5a6b48fcc2416c890a1f326a/src/datasets/arrow_dataset.py#L4633-L4667",
"Yes, this is where `Dataset.to_dict` is defined.",
"#self-a... | 2023-03-03T16:17:10Z | 2023-03-27T13:26:40Z | 2023-03-27T13:26:40Z | COLLABORATOR | null | null | Since there is `Dataset.from_list` in the API, we should also add `Dataset.to_list` to be consistent.
Regarding the implementation, we can re-use `Dataset.to_dict`'s code and replace the `to_pydict` calls with `to_pylist`. | {
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https://github.com/huggingface/datasets/pull/5605 | 5,605 | Update README logo | {
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"Are you sure it's safe to remove? https://github.com/huggingface/datasets/pull/3866",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benc... | 2023-03-03T15:46:31Z | 2023-03-03T21:57:18Z | 2023-03-03T21:50:17Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/5604 | 5,604 | Problems with downloading The Pile | {
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"Hi! \r\n\r\n\r\nYou can specify `download_config=DownloadConfig(resume_download=True))` in `load_dataset` to resume the download when re-running the code after the timeout error:\r\n```python\r\nfrom datasets import load_dataset, DownloadConfig\r\ndataset = load_dataset('the_pile', split='train', cache_dir='F:\\da... | 2023-03-03T09:52:08Z | 2023-10-14T02:15:52Z | 2023-03-24T12:44:25Z | NONE | null | null | ### Describe the bug
The downloads in the screenshot seem to be interrupted after some time and the last download throws a "Read timed out" error.
Here are the downloaded files:
![image](https://user-... | {
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https://github.com/huggingface/datasets/pull/5603 | 5,603 | Don't compute checksums if not necessary in `datasets-cli test` | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | we only need them if there exists a `dataset_infos.json` | {
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https://github.com/huggingface/datasets/pull/5602 | 5,602 | Return dict structure if columns are lists - to_tf_dataset | {
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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... | 2023-03-02T15:51:12Z | 2023-04-12T15:54:53Z | null | CONTRIBUTOR | false | {
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} | 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... | null | {
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https://github.com/huggingface/datasets/issues/5601 | 5,601 | Authorization error | {
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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... | 2023-03-02T12:08:39Z | 2023-03-14T16:55:35Z | 2023-03-14T16:55:34Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/5600 | 5,600 | Dataloader getitem not working for DreamboothDatasets | {
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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."
] | 2023-03-02T11:00:27Z | 2023-03-13T17:59:35Z | 2023-03-13T17:59:35Z | NONE | null | null | ### 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 ... | {
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https://github.com/huggingface/datasets/pull/5598 | 5,598 | Fix push_to_hub with no dataset_infos | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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 | {
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https://github.com/huggingface/datasets/issues/5597 | 5,597 | in-place dataset update | {
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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... | 2023-03-01T12:58:18Z | 2023-03-02T13:30:41Z | 2023-03-02T03:47:00Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/5596 | 5,596 | [TypeError: Couldn't cast array of type] Can only load a subset of the dataset | {
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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... | 2023-03-01T12:53:08Z | 2023-12-05T03:22:00Z | 2023-03-02T11:12:11Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/5595 | 5,595 | Unpins sqlAlchemy | {
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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... | 2023-03-01T01:33:45Z | 2023-04-04T08:20:19Z | 2023-04-04T08:19:14Z | NONE | false | {
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https://github.com/huggingface/datasets/issues/5594 | 5,594 | Error while downloading the xtreme udpos dataset | {
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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... | 2023-02-28T23:40:53Z | 2023-11-04T20:45:56Z | 2023-07-24T14:22:18Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/5592 | 5,592 | Fix docstring example | {
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https://github.com/huggingface/datasets/pull/5591 | 5,591 | set dev version | {
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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: benchma... | 2023-02-28T18:09:05Z | 2023-02-28T18:16:31Z | 2023-02-28T18:09:15Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5590 | 5,590 | Release: 2.10.1 | {
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https://github.com/huggingface/datasets/pull/5589 | 5,589 | Revert "pass the dataset features to the IterableDataset.from_generator" | {
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} | 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 | {
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https://github.com/huggingface/datasets/pull/5588 | 5,588 | Flatten dataset on the fly in `save_to_disk` | {
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(this is one of the sub-tasks in https://github.com/huggingface/datasets/issues/5507) | {
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https://github.com/huggingface/datasets/pull/5587 | 5,587 | Fix `sort` with indices mapping | {
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Fix #5586 | {
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https://github.com/huggingface/datasets/issues/5586 | 5,586 | .sort() is broken when used after .filter(), only in 2.10.0 | {
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"Thanks for reporting and thanks @mariosasko for fixing ! We just did a patch release `2.10.1` with the fix"
] | 2023-02-28T12:18:09Z | 2023-02-28T18:17:26Z | 2023-02-28T17:21:59Z | NONE | null | null | ### Describe the bug
Hi, thank you for your support!
It seems like the addition of multiple key sort (#5502) in 2.10.0 broke the `.sort()` method.
After filtering a dataset with `.filter()`, the `.sort()` seems to refer to the query_table index of the previous unfiltered dataset, resulting in an IndexError.
... | {
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https://github.com/huggingface/datasets/issues/5585 | 5,585 | Cache is not transportable | {
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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 ... | 2023-02-28T00:53:06Z | 2023-02-28T21:26:52Z | 2023-02-28T21:26:52Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/5584 | 5,584 | Unable to load coyo700M dataset | {
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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... | 2023-02-27T19:35:03Z | 2023-02-28T07:27:59Z | 2023-02-28T07:27:58Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/5583 | 5,583 | Do no write index by default when exporting a dataset | {
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https://github.com/huggingface/datasets/pull/5582 | 5,582 | Add column_names to IterableDataset | {
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* Add column_names property to IterableDataset
* Add multiple tests for this new property | {
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https://github.com/huggingface/datasets/issues/5581 | 5,581 | [DOC] Mistaken docs on set_format | {
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"Thanks for reporting!"
] | 2023-02-27T08:03:09Z | 2023-02-28T19:19:17Z | 2023-02-28T19:19:17Z | CONTRIBUTOR | null | null | ### 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:
<img w... | {
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https://github.com/huggingface/datasets/pull/5580 | 5,580 | Support cloud storage in load_dataset via fsspec | {
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"> Regarding the tests I think it should be possible to use the mockfs fixture, it allows to play with a dummy fsspec FileSystem with the \"mock://\" protocol.\r\n\r\n> However it requires some storage_options to be passed. Maybe it c... | 2023-02-27T04:06:05Z | 2024-11-27T01:25:39Z | 2023-03-11T00:55:40Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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... | {
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https://github.com/huggingface/datasets/pull/5579 | 5,579 | Add instructions to create `DataLoader` from augmented dataset in object detection guide | {
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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... | 2023-02-25T14:53:17Z | 2023-03-23T19:24:59Z | 2023-03-23T19:24:50Z | CONTRIBUTOR | false | {
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} | 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 ! | {
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https://github.com/huggingface/datasets/pull/5578 | 5,578 | Add `huggingface_hub` version to env cli command | {
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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... | 2023-02-24T15:37:43Z | 2023-02-27T17:28:25Z | 2023-02-27T17:21:09Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Add the `huggingface_hub` version to the `env` command's output. | {
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https://github.com/huggingface/datasets/issues/5577 | 5,577 | Cannot load `the_pile_openwebtext2` | {
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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"
] | 2023-02-24T13:01:48Z | 2023-02-24T14:01:09Z | 2023-02-24T14:01:09Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/5576 | 5,576 | 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. | {
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"Duplicated issue."
] | 2023-02-24T12:57:49Z | 2023-02-24T12:58:31Z | 2023-02-24T12:58:18Z | NONE | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/5575 | 5,575 | Metadata for each column | {
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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... | 2023-02-24T10:53:44Z | 2024-01-05T21:48:35Z | null | NONE | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/issues/5574 | 5,574 | c4 dataset streaming fails with `FileNotFoundError` | {
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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 ... | 2023-02-24T07:57:32Z | 2023-12-18T07:32:32Z | 2023-02-27T04:03:38Z | NONE | null | null | ### 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", ... | {
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https://github.com/huggingface/datasets/pull/5573 | 5,573 | Use soundfile for mp3 decoding instead of torchaudio | {
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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... | 2023-02-23T19:19:44Z | 2023-02-28T20:25:14Z | 2023-02-28T20:16:02Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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... | {
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https://github.com/huggingface/datasets/issues/5572 | 5,572 | Datasets 2.10.0 does not reuse the dataset cache | {
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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-... | {
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https://github.com/huggingface/datasets/issues/5571 | 5,571 | load_dataset fails for JSON in windows | {
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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!"
] | 2023-02-23T16:50:11Z | 2023-02-24T13:21:47Z | 2023-02-24T13:21:47Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/5570 | 5,570 | load_dataset gives FileNotFoundError on imagenet-1k if license is not accepted on the hub | {
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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... | 2023-02-23T16:44:32Z | 2023-07-24T15:18:50Z | 2023-07-24T15:18:50Z | NONE | null | null | ### 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 =... | {
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