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https://api.github.com/repos/huggingface/datasets/issues/6483 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6483/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6483/comments | https://api.github.com/repos/huggingface/datasets/issues/6483/events | https://github.com/huggingface/datasets/issues/6483 | 2,032,946,981 | I_kwDODunzps55LE8l | 6,483 | Iterable Dataset: rename column clashes with remove column | {
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] | closed | false | null | [] | null | 4 | 2023-12-08T16:11:30 | 2023-12-08T16:27:16 | 2023-12-08T16:27:04 | CONTRIBUTOR | null | null | null | ### Describe the bug
Suppose I have a two iterable datasets, one with the features:
* `{"audio", "text", "column_a"}`
And the other with the features:
* `{"audio", "sentence", "column_b"}`
I want to combine both datasets using `interleave_datasets`, which requires me to unify the column names. I would typic... | {
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https://api.github.com/repos/huggingface/datasets/issues/6484 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6484/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6484/comments | https://api.github.com/repos/huggingface/datasets/issues/6484/events | https://github.com/huggingface/datasets/issues/6484 | 2,033,333,294 | I_kwDODunzps55MjQu | 6,484 | [Feature Request] Dataset versioning | {
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I am working on a project, where I would like to test different preprocessing methods for my ML-data. Thus, I would like to work a lot with revisions and compare them. Currently, I was not able to make it work with the revision keyword because it was n... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6481 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6481/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6481/comments | https://api.github.com/repos/huggingface/datasets/issues/6481/events | https://github.com/huggingface/datasets/issues/6481 | 2,032,650,003 | I_kwDODunzps55J8cT | 6,481 | using torchrun, save_to_disk suddenly shows SIGTERM | {
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When I run my code using the "torchrun" command, when the code reaches the "save_to_disk" part, suddenly I get the following warning and error messages:
Because the dataset is too large, the "save_to_disk" function splits it into 70 parts for saving. However, an error occurs suddenly when it reac... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6478 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6478/comments | https://api.github.com/repos/huggingface/datasets/issues/6478/events | https://github.com/huggingface/datasets/issues/6478 | 2,028,071,596 | I_kwDODunzps544eqs | 6,478 | How to load data from lakefs | {
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https://api.github.com/repos/huggingface/datasets/issues/6476 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6476/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6476/comments | https://api.github.com/repos/huggingface/datasets/issues/6476/events | https://github.com/huggingface/datasets/issues/6476 | 2,028,018,596 | I_kwDODunzps544Ruk | 6,476 | CI on windows is broken: PermissionError | {
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"followers_... | null | 0 | 2023-12-06T08:32:53 | 2023-12-06T09:17:53 | 2023-12-06T09:17:53 | MEMBER | null | null | null | See: https://github.com/huggingface/datasets/actions/runs/7104781624/job/19340572394
```
FAILED tests/test_load.py::test_loading_from_the_datasets_hub - NotADirectoryError: [WinError 267] The directory name is invalid: 'C:\\Users\\RUNNER~1\\AppData\\Local\\Temp\\tmpfcnps56i\\hf-internal-testing___dataset_with_script\... | {
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https://api.github.com/repos/huggingface/datasets/issues/6475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6475/comments | https://api.github.com/repos/huggingface/datasets/issues/6475/events | https://github.com/huggingface/datasets/issues/6475 | 2,027,373,734 | I_kwDODunzps5410Sm | 6,475 | laion2B-en failed to load on Windows with PrefetchVirtualMemory failed | {
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I have downloaded laion2B-en, and I'm receiving the following error trying to load it:
```
Resolving data files: 100%|██████████| 128/128 [00:00<00:00, 1173.79it/s]
Traceback (most recent call last):
File "D:\Art-Workspace\src\artworkspace\tokeneval\compute_frequencies.py", line 31, in <mo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6472/comments | https://api.github.com/repos/huggingface/datasets/issues/6472/events | https://github.com/huggingface/datasets/issues/6472 | 2,026,493,439 | I_kwDODunzps54ydX_ | 6,472 | CI quality is broken | {
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"followers_... | null | 0 | 2023-12-05T15:35:34 | 2023-12-06T08:17:34 | 2023-12-05T18:08:43 | MEMBER | null | null | null | See: https://github.com/huggingface/datasets/actions/runs/7100835633/job/19327734359
```
Would reformat: src/datasets/features/image.py
1 file would be reformatted, 253 files left unchanged
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https://api.github.com/repos/huggingface/datasets/issues/6470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6470/comments | https://api.github.com/repos/huggingface/datasets/issues/6470/events | https://github.com/huggingface/datasets/issues/6470 | 2,024,724,319 | I_kwDODunzps54rtdf | 6,470 | If an image in a dataset is corrupted, we get unescapable error | {
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Example discussed in detail here: https://huggingface.co/datasets/sasha/birdsnap/discussions/1
### Steps to reproduce the bug
```
from datasets import load_dataset, VerificationMode
dataset = load_dataset(
'sasha/birdsnap',
split="train",
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https://api.github.com/repos/huggingface/datasets/issues/6467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6467/comments | https://api.github.com/repos/huggingface/datasets/issues/6467/events | https://github.com/huggingface/datasets/issues/6467 | 2,023,174,233 | I_kwDODunzps54lzBZ | 6,467 | New version release request | {
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] | closed | false | null | [] | null | 2 | 2023-12-04T07:08:26 | 2023-12-04T15:42:22 | 2023-12-04T15:42:22 | CONTRIBUTOR | null | null | null | ### Feature request
Hi!
I am using `datasets` in library `xtuner` and am highly interested in the features introduced since v2.15.0.
To avoid installation from source in our pypi wheels, we are eagerly waiting for the new release. So, Does your team have a new release plan for v2.15.1 and could you please share ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6466/comments | https://api.github.com/repos/huggingface/datasets/issues/6466/events | https://github.com/huggingface/datasets/issues/6466 | 2,022,601,176 | I_kwDODunzps54jnHY | 6,466 | Can't align optional features of struct | {
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Hello!
I'm currently experiencing an issue where I can't concatenate datasets if an inner field of a Feature is Optional.
I have a column named `speaker`, and this holds some information about a speaker.
```python
@dataclass
class Speaker:
name: str
email: Optional[str]
```
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https://api.github.com/repos/huggingface/datasets/issues/6465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6465/comments | https://api.github.com/repos/huggingface/datasets/issues/6465/events | https://github.com/huggingface/datasets/issues/6465 | 2,022,212,468 | I_kwDODunzps54iIN0 | 6,465 | `load_dataset` uses out-of-date cache instead of re-downloading a changed dataset | {
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When a dataset is updated on the hub, using `load_dataset` will load the locally cached dataset instead of re-downloading the updated dataset
### Steps to reproduce the bug
Here is a minimal example script to
1. create an initial dataset and upload
2. download it so it is stored in cache
3. c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6460 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6460/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6460/comments | https://api.github.com/repos/huggingface/datasets/issues/6460/events | https://github.com/huggingface/datasets/issues/6460 | 2,017,433,899 | I_kwDODunzps54P5kr | 6,460 | jsonlines files don't load with `load_dataset` | {
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While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6457/comments | https://api.github.com/repos/huggingface/datasets/issues/6457/events | https://github.com/huggingface/datasets/issues/6457 | 2,015,650,563 | I_kwDODunzps54JGMD | 6,457 | `TypeError`: huggingface_hub.hf_file_system.HfFileSystem.find() got multiple values for keyword argument 'maxdepth' | {
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"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | null | 5 | 2023-11-29T01:57:36 | 2023-11-29T15:39:03 | 2023-11-29T02:02:38 | NONE | null | null | null | ### Describe the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Steps to reproduce the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Expected behavior
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Environment info
Please s... | {
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https://api.github.com/repos/huggingface/datasets/issues/6451 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6451/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6451/comments | https://api.github.com/repos/huggingface/datasets/issues/6451/events | https://github.com/huggingface/datasets/issues/6451 | 2,010,693,912 | I_kwDODunzps532MEY | 6,451 | Unable to read "marsyas/gtzan" data | {
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"followers_url": "https://api.github.c... | [] | closed | false | null | [] | null | 3 | 2023-11-25T15:13:17 | 2023-12-01T12:53:46 | 2023-11-27T09:36:25 | NONE | null | null | null | Hi, this is my code and the error:
```
from datasets import load_dataset
gtzan = load_dataset("marsyas/gtzan", "all")
```
[error_trace.txt](https://github.com/huggingface/datasets/files/13464397/error_trace.txt)
[audio_yml.txt](https://github.com/huggingface/datasets/files/13464410/audio_yml.txt)
Python 3.11.5
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6450/comments | https://api.github.com/repos/huggingface/datasets/issues/6450/events | https://github.com/huggingface/datasets/issues/6450 | 2,009,491,386 | I_kwDODunzps53xme6 | 6,450 | Support multiple image/audio columns in ImageFolder/AudioFolder | {
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"... | closed | false | null | [] | null | 1 | 2023-11-24T10:34:09 | 2023-11-28T11:07:17 | 2023-11-24T17:24:38 | CONTRIBUTOR | null | null | null | ### Feature request
Have a metadata.csv file with multiple columns that point to relative image or audio files.
### Motivation
Currently, ImageFolder allows one column, called `file_name`, pointing to relative image files. On the same model, AudioFolder allows one column, called `file_name`, pointing to relative aud... | {
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https://api.github.com/repos/huggingface/datasets/issues/6447 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6447/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6447/comments | https://api.github.com/repos/huggingface/datasets/issues/6447/events | https://github.com/huggingface/datasets/issues/6447 | 2,008,195,298 | I_kwDODunzps53sqDi | 6,447 | Support one dataset loader per config when using YAML | {
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] | open | false | null | [] | null | 0 | 2023-11-23T13:03:07 | 2023-11-23T13:03:07 | null | CONTRIBUTOR | null | null | null | ### Feature request
See https://huggingface.co/datasets/datasets-examples/doc-unsupported-1
I would like to use CSV loader for the "csv" config, JSONL loader for the "jsonl" config, etc.
### Motivation
It would be more flexible for the users
### Your contribution
No specific contribution | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6446 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6446/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6446/comments | https://api.github.com/repos/huggingface/datasets/issues/6446/events | https://github.com/huggingface/datasets/issues/6446 | 2,007,092,708 | I_kwDODunzps53oc3k | 6,446 | Speech Commands v2 dataset doesn't match AST-v2 config | {
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[According](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) to `MIT/ast-finetuned-speech-commands-v2`, the model was trained on the Speech Commands v2 dataset. However, while the model config says the model should have 35 class labels, the dataset itself has 36 class labels. Moreover,... | {
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https://api.github.com/repos/huggingface/datasets/issues/6443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6443/comments | https://api.github.com/repos/huggingface/datasets/issues/6443/events | https://github.com/huggingface/datasets/issues/6443 | 2,006,568,368 | I_kwDODunzps53mc2w | 6,443 | Trouble loading files defined in YAML explicitly | {
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It's a reproduction of the example given in the docs at https://huggingface.co/docs/hub/datasets-manual-configuration
```
You can select multiple files per split using a list of paths:
my_dataset_repository/
├── README.md
├── data/
│ ├── abc.csv
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https://api.github.com/repos/huggingface/datasets/issues/6442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6442/comments | https://api.github.com/repos/huggingface/datasets/issues/6442/events | https://github.com/huggingface/datasets/issues/6442 | 2,006,086,907 | I_kwDODunzps53knT7 | 6,442 | Trouble loading image folder with additional features - metadata file ignored | {
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Loading image folder with a caption column using `load_dataset(<image_folder_path>)` doesn't load the captions.
When loading a local image folder with captions using `datasets==2.13.0`
```
from datasets import load_dataset
data = load_dataset(<image_folder_path>)
data.column_names
```
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https://api.github.com/repos/huggingface/datasets/issues/6441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6441/comments | https://api.github.com/repos/huggingface/datasets/issues/6441/events | https://github.com/huggingface/datasets/issues/6441 | 2,004,985,857 | I_kwDODunzps53gagB | 6,441 | Trouble Loading a Gated Dataset For User with Granted Permission | {
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I have granted permissions to several users to access a gated huggingface dataset. The users accepted the invite and when trying to load the dataset using their access token they get
`FileNotFoundError: Couldn't find a dataset script at .....` . Also when they try to click the url link for the d... | {
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https://api.github.com/repos/huggingface/datasets/issues/6440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6440/comments | https://api.github.com/repos/huggingface/datasets/issues/6440/events | https://github.com/huggingface/datasets/issues/6440 | 2,004,509,301 | I_kwDODunzps53emJ1 | 6,440 | `.map` not hashing under python 3.9 | {
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The `.map` function cannot hash under python 3.9. Tried to use [the solution here](https://github.com/huggingface/datasets/issues/4521#issuecomment-1205166653), but still get the same message:
`Parameter 'function'=<function map_to_pred at 0x7fa0b49ead30> of the transform datasets.arrow_data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6439/comments | https://api.github.com/repos/huggingface/datasets/issues/6439/events | https://github.com/huggingface/datasets/issues/6439 | 2,002,916,514 | I_kwDODunzps53YhSi | 6,439 | Download + preparation speed of datasets.load_dataset is 20x slower than huggingface hub snapshot and manual loding | {
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"followers_url": "https://api... | [] | open | false | null | [] | null | 0 | 2023-11-20T20:07:23 | 2023-11-20T20:07:37 | null | NONE | null | null | null | ### Describe the bug
I am working with a dataset I am trying to publish.
The path is Antreas/TALI.
It's a fairly large dataset, and contains images, video, audio and text.
I have been having multiple problems when the dataset is being downloaded using the load_dataset function -- even with 64 workers takin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6438/comments | https://api.github.com/repos/huggingface/datasets/issues/6438/events | https://github.com/huggingface/datasets/issues/6438 | 2,002,032,804 | I_kwDODunzps53VJik | 6,438 | Support GeoParquet | {
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] | open | false | null | [] | null | 6 | 2023-11-20T11:54:58 | 2024-02-07T08:36:51 | null | CONTRIBUTOR | null | null | null | ### Feature request
Support the GeoParquet format
### Motivation
GeoParquet (https://geoparquet.org/) is a common format for sharing vectorial geospatial data on the cloud, along with "traditional" data columns.
It would be nice to be able to load this format with datasets, and more generally, in the Datasets Hub... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6437/comments | https://api.github.com/repos/huggingface/datasets/issues/6437/events | https://github.com/huggingface/datasets/issues/6437 | 2,001,272,606 | I_kwDODunzps53SP8e | 6,437 | Problem in training iterable dataset | {
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I am using PyTorch DDP (Distributed Data Parallel) to train my model. Since the data is too large to load into memory at once, I am using load_dataset to read the data as an iterable dataset. I have used datasets.distributed.split_dataset_by_node to distribute the dataset. However, I have notice... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6436/comments | https://api.github.com/repos/huggingface/datasets/issues/6436/events | https://github.com/huggingface/datasets/issues/6436 | 2,000,844,474 | I_kwDODunzps53Qna6 | 6,436 | TypeError: <lambda>() takes 0 positional arguments but 1 was given | {
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```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-35-7b6becee3685>](https://localhost:8080/#) in <cell line: 1>()
----> 1 from datasets import Dataset
9 frames
[/usr/lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6435/comments | https://api.github.com/repos/huggingface/datasets/issues/6435/events | https://github.com/huggingface/datasets/issues/6435 | 2,000,690,513 | I_kwDODunzps53QB1R | 6,435 | Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method | {
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1. I ran dataset mapping with `num_proc=6` in it and got this error:
`RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method`
I can't actually find a way to run multi-GPU dataset mapping. Can you help?
### Steps to... | {
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https://api.github.com/repos/huggingface/datasets/issues/6432 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6432/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6432/comments | https://api.github.com/repos/huggingface/datasets/issues/6432/events | https://github.com/huggingface/datasets/issues/6432 | 1,999,258,140 | I_kwDODunzps53KkIc | 6,432 | load_dataset does not load all of the data in my input file | {
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I have 127 elements in my input dataset. When I do a len on the dataset after loaded, it is only 124 elements.
### Steps to reproduce the bug
train_dataset = nlp.load_dataset(data_args.dataset_path, name=data_args.qg_format, split=nlp.Split.TRAIN)
valid_dataset = nlp.load_dataset(data_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6422 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6422/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6422/comments | https://api.github.com/repos/huggingface/datasets/issues/6422/events | https://github.com/huggingface/datasets/issues/6422 | 1,994,579,267 | I_kwDODunzps524t1D | 6,422 | Allow to choose the `writer_batch_size` when using `save_to_disk` | {
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] | open | false | null | [] | null | 2 | 2023-11-15T11:18:34 | 2023-11-16T10:00:21 | null | NONE | null | null | null | ### Feature request
Add an argument in `save_to_disk` regarding batch size, which would be passed to `shard` and other methods.
### Motivation
The `Dataset.save_to_disk` method currently calls `shard` without passing a `writer_batch_size` argument, thus implicitly using the default value (1000). This can result in R... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6417/comments | https://api.github.com/repos/huggingface/datasets/issues/6417/events | https://github.com/huggingface/datasets/issues/6417 | 1,993,149,416 | I_kwDODunzps52zQvo | 6,417 | Bug: LayoutLMv3 finetuning on FUNSD Notebook; Arrow Error | {
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Arrow issues when running the example Notebook laptop locally on Mac with M1. Works on Google Collab.
**Notebook**: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb
**Error**: `ValueError: Arrow type extensi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6412/comments | https://api.github.com/repos/huggingface/datasets/issues/6412/events | https://github.com/huggingface/datasets/issues/6412 | 1,992,401,594 | I_kwDODunzps52waK6 | 6,412 | User token is printed out! | {
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"followers_url": "https://api... | [] | closed | false | null | [] | null | 1 | 2023-11-14T10:01:34 | 2023-11-14T22:19:46 | 2023-11-14T22:19:46 | NONE | null | null | null | This line prints user token on command line! Is it safe?
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/load.py#L2091 | {
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https://api.github.com/repos/huggingface/datasets/issues/6410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6410/comments | https://api.github.com/repos/huggingface/datasets/issues/6410/events | https://github.com/huggingface/datasets/issues/6410 | 1,992,100,209 | I_kwDODunzps52vQlx | 6,410 | Datasets does not load HuggingFace Repository properly | {
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"followers_url": "https://api.github.com/users/Mik... | [] | open | false | null | [] | null | 2 | 2023-11-14T06:50:49 | 2023-11-16T06:54:36 | null | NONE | null | null | null | ### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you please clarify how we can solve the issue? Please let me ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6409/comments | https://api.github.com/repos/huggingface/datasets/issues/6409/events | https://github.com/huggingface/datasets/issues/6409 | 1,991,960,865 | I_kwDODunzps52uukh | 6,409 | using DownloadManager to download from local filesystem and disable_progress_bar, there will be an exception | {
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"followers_url": "https://api.github.com/users/nei... | [] | closed | false | null | [] | null | 0 | 2023-11-14T04:21:01 | 2023-11-22T16:42:09 | 2023-11-22T16:42:09 | NONE | null | null | null | ### Describe the bug
i'm using datasets.download.download_manager.DownloadManager to download files like "file:///a/b/c.txt", and i disable_progress_bar() to disable bar. there will be an exception as follows:
`AttributeError: 'function' object has no attribute 'close'
Exception ignored in: <function TqdmCallback.... | {
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https://api.github.com/repos/huggingface/datasets/issues/6408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6408/comments | https://api.github.com/repos/huggingface/datasets/issues/6408/events | https://github.com/huggingface/datasets/issues/6408 | 1,991,902,972 | I_kwDODunzps52ugb8 | 6,408 | `IterableDataset` lost but not keep columns when map function adding columns with names in `remove_columns` | {
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IterableDataset lost but not keep columns when map function adding columns with names in remove_columns,
Dataset not.
May be related to the code below:
https://github.com/huggingface/datasets/blob/06c3ffb8d068b6307b247164b10f7c7311cefed4/src/datasets/iterable_dataset.py#L750-L756
### Steps t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6407/comments | https://api.github.com/repos/huggingface/datasets/issues/6407/events | https://github.com/huggingface/datasets/issues/6407 | 1,991,514,079 | I_kwDODunzps52tBff | 6,407 | Loading the dataset from private S3 bucket gives "TypeError: cannot pickle '_contextvars.Context' object" | {
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I'm trying to read the parquet file from the private s3 bucket using the `load_dataset` function, but I receive `TypeError: cannot pickle '_contextvars.Context' object` error
I'm working on a machine with `~/.aws/credentials` file. I can't give credentials and the path to a file in a private bu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6406/comments | https://api.github.com/repos/huggingface/datasets/issues/6406/events | https://github.com/huggingface/datasets/issues/6406 | 1,990,469,045 | I_kwDODunzps52pCW1 | 6,406 | CI Build PR Documentation is broken: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' | {
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```
ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'
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https://api.github.com/repos/huggingface/datasets/issues/6405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6405/comments | https://api.github.com/repos/huggingface/datasets/issues/6405/events | https://github.com/huggingface/datasets/issues/6405 | 1,990,358,743 | I_kwDODunzps52onbX | 6,405 | ConfigNamesError on a simple CSV file | {
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```
Error code: ConfigNamesError
Exception: TypeError
Message: __init__() missing 1 required positional argument: 'dtype'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runn... | {
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https://api.github.com/repos/huggingface/datasets/issues/6403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6403/comments | https://api.github.com/repos/huggingface/datasets/issues/6403/events | https://github.com/huggingface/datasets/issues/6403 | 1,990,098,817 | I_kwDODunzps52nn-B | 6,403 | Cannot import datasets on google colab (python 3.10.12) | {
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I'm trying A full colab demo notebook of zero-shot-distillation from https://github.com/huggingface/transformers/tree/main/examples/research_projects/zero-shot-distillation but i got this type of error when importing datasets on my google colab (python version is 3.10.12)
![image](https://gith... | {
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https://api.github.com/repos/huggingface/datasets/issues/6401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6401/comments | https://api.github.com/repos/huggingface/datasets/issues/6401/events | https://github.com/huggingface/datasets/issues/6401 | 1,988,710,061 | I_kwDODunzps52iU6t | 6,401 | dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text") not working | {
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```
(datasets) mruserbox@guru-X99:/media/10TB_HHD/_LLM_DATASETS$ python dataset.py
Downloading readme: 100%|███████████████████████████████████| 360/360 [00:00<00:00, 2.16MB/s]
Downloading data: 100%|█████████████████████████████████| 65.1M/65.1M [00:19<00:00, 3.38MB/s]
Downloading data: 100... | {
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https://api.github.com/repos/huggingface/datasets/issues/6400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6400/comments | https://api.github.com/repos/huggingface/datasets/issues/6400/events | https://github.com/huggingface/datasets/issues/6400 | 1,988,571,317 | I_kwDODunzps52hzC1 | 6,400 | Safely load datasets by disabling execution of dataset loading script | {
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"followers_url": "https://api.git... | null | 4 | 2023-11-10T23:48:29 | 2024-06-13T15:56:13 | 2024-06-13T15:56:13 | NONE | null | null | null | ### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation
This is a security vulnerability that could lead to arbitrary code e... | {
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https://api.github.com/repos/huggingface/datasets/issues/6399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6399/comments | https://api.github.com/repos/huggingface/datasets/issues/6399/events | https://github.com/huggingface/datasets/issues/6399 | 1,988,368,503 | I_kwDODunzps52hBh3 | 6,399 | TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array | {
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Hi, I am preprocessing a large custom dataset with numpy arrays. I am running into this TypeError during writing in a dataset.map() function. I've tried decreasing writer batch size, but this error persists. This error does not occur for smaller datasets.
Thank you!
### Steps to repro... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6397 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6397/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6397/comments | https://api.github.com/repos/huggingface/datasets/issues/6397/events | https://github.com/huggingface/datasets/issues/6397 | 1,987,622,152 | I_kwDODunzps52eLUI | 6,397 | Raise a different exception for inexisting dataset vs files without known extension | {
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We have the same error for:
- https://huggingface.co/datasets/severo/a_dataset_that_does_not_exist: a dataset that does not exist
- https://huggingface.co/datasets/severo/test_files_without_extension: a dataset with files withou... | {
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https://api.github.com/repos/huggingface/datasets/issues/6396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6396/comments | https://api.github.com/repos/huggingface/datasets/issues/6396/events | https://github.com/huggingface/datasets/issues/6396 | 1,987,308,077 | I_kwDODunzps52c-ot | 6,396 | Issue with pyarrow 14.0.1 | {
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```
from datasets import (Array2D, Dataset, Features)
feature_type = Array2D(shape=(2, 2), dtype="float32")
content = [[0.0, 0.0], [0.0, 0.0]]
features = Features({"col": feature_type})
dataset = Dataset.from_dict({"col": [content]}, fea... | {
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https://api.github.com/repos/huggingface/datasets/issues/6395 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6395/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6395/comments | https://api.github.com/repos/huggingface/datasets/issues/6395/events | https://github.com/huggingface/datasets/issues/6395 | 1,986,484,124 | I_kwDODunzps52Z1ec | 6,395 | Add ability to set lock type | {
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] | closed | false | null | [] | null | 1 | 2023-11-09T22:12:30 | 2023-11-23T18:50:00 | 2023-11-23T18:50:00 | NONE | null | null | null | ### Feature request
Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Motivation
In my environment... | {
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https://api.github.com/repos/huggingface/datasets/issues/6394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6394/comments | https://api.github.com/repos/huggingface/datasets/issues/6394/events | https://github.com/huggingface/datasets/issues/6394 | 1,985,947,116 | I_kwDODunzps52XyXs | 6,394 | TorchFormatter images (H, W, C) instead of (C, H, W) format | {
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Using .set_format("torch") leads to images having shape (H, W, C), the same as in numpy.
However, pytorch normally uses (C, H, W) format.
Maybe I'm missing something but this makes the format a lot less useful as I then have to permute it anyways.
If not using the format it is possible to ... | {
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A call to `.filter` occasionally hangs (after the filter is complete, according to tqdm)
There is a trace produced
```
Exception ignored in: <function Dataset.__del__ at 0x7efb48130c10>
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/datasets/arrow_dataset.py", l... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6392/comments | https://api.github.com/repos/huggingface/datasets/issues/6392/events | https://github.com/huggingface/datasets/issues/6392 | 1,984,369,545 | I_kwDODunzps52RxOJ | 6,392 | `push_to_hub` is not robust to hub closing connection | {
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Like to #6172, `push_to_hub` will crash if Hub resets the connection and raise the following error:
```
Pushing dataset shards to the dataset hub: 32%|███▏ | 54/171 [06:38<14:23, 7.38s/it]
Traceback (most recent call last):
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https://api.github.com/repos/huggingface/datasets/issues/6389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6389/comments | https://api.github.com/repos/huggingface/datasets/issues/6389/events | https://github.com/huggingface/datasets/issues/6389 | 1,983,545,744 | I_kwDODunzps52OoGQ | 6,389 | Index 339 out of range for dataset of size 339 <-- save_to_file() | {
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When saving out some Audio() data.
The data is audio recordings with associated 'sentences'.
(They use the audio 'bytes' approach because they're clips within audio files).
Code is below the traceback (I can't upload the voice audio/text (it's not even me)).
```
Traceback (most recent call ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6388/comments | https://api.github.com/repos/huggingface/datasets/issues/6388/events | https://github.com/huggingface/datasets/issues/6388 | 1,981,136,093 | I_kwDODunzps52Fbzd | 6,388 | How to create 3d medical imgae dataset? | {
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] | open | false | null | [] | null | 0 | 2023-11-07T11:27:36 | 2023-11-07T11:28:53 | null | NONE | null | null | null | ### Feature request
I am newer to huggingface, after i look up `datasets` docs, I can't find how to create the dataset contains 3d medical image (ends with '.mhd', '.dcm', '.nii')
### Motivation
help us to upload 3d medical dataset to huggingface!
### Your contribution
I'll submit a PR if I find a way to... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6387/comments | https://api.github.com/repos/huggingface/datasets/issues/6387/events | https://github.com/huggingface/datasets/issues/6387 | 1,980,224,020 | I_kwDODunzps52B9IU | 6,387 | How to load existing downloaded dataset ? | {
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] | closed | false | null | [] | null | 1 | 2023-11-06T22:51:44 | 2023-11-16T18:07:01 | 2023-11-16T18:07:01 | NONE | null | null | null | Hi @mariosasko @lhoestq @katielink
Thanks for your contribution and hard work.
### Feature request
First, I download a dataset as normal by:
```
from datasets import load_dataset
dataset = load_dataset('username/data_name', cache_dir='data')
```
The dataset format in `data` directory will be:
```
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6386/comments | https://api.github.com/repos/huggingface/datasets/issues/6386/events | https://github.com/huggingface/datasets/issues/6386 | 1,979,878,014 | I_kwDODunzps52Aop- | 6,386 | Formatting overhead | {
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Hi! I very recently noticed that my training time is dominated by batch formatting. Using Lightning's profilers, I located the bottleneck within `datasets.formatting.formatting` and then narrowed it down with `line-profiler`. It turns out that almost all of the overhead is due to creating new inst... | {
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https://api.github.com/repos/huggingface/datasets/issues/6385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6385/comments | https://api.github.com/repos/huggingface/datasets/issues/6385/events | https://github.com/huggingface/datasets/issues/6385 | 1,979,308,338 | I_kwDODunzps51-dky | 6,385 | Get an error when i try to concatenate the squad dataset with my own dataset | {
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Hello,
I'm new here and I need to concatenate the squad dataset with my own dataset i created. I find the following error when i try to do it: Traceback (most recent call last):
Cell In[9], line 1
concatenated_dataset = concatenate_datasets([train_dataset, dataset1])
File ~\ana... | {
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https://api.github.com/repos/huggingface/datasets/issues/6384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6384/comments | https://api.github.com/repos/huggingface/datasets/issues/6384/events | https://github.com/huggingface/datasets/issues/6384 | 1,979,117,069 | I_kwDODunzps519u4N | 6,384 | Load the local dataset folder from other place | {
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https://api.github.com/repos/huggingface/datasets/issues/6383 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6383/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6383/comments | https://api.github.com/repos/huggingface/datasets/issues/6383/events | https://github.com/huggingface/datasets/issues/6383 | 1,978,189,389 | I_kwDODunzps516MZN | 6,383 | imagenet-1k downloads over and over | {
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What could be causing this?
```
$ python3
Python 3.8.13 (default, Mar 28 2022, 11:38:47)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datasets import load_dataset
>>> load_dataset("imagenet-1k")
Downloading builder ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6382/comments | https://api.github.com/repos/huggingface/datasets/issues/6382/events | https://github.com/huggingface/datasets/issues/6382 | 1,977,400,799 | I_kwDODunzps513L3f | 6,382 | Add CheXpert dataset for vision | {
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"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement",
"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
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"node_id": "MDU6... | open | false | null | [] | null | 3 | 2023-11-04T15:36:11 | 2024-01-10T11:53:52 | null | NONE | null | null | null | ### Feature request
### Name
**CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison**
### Paper
https://arxiv.org/abs/1901.07031
### Data
https://stanfordaimi.azurewebsites.net/datasets/8cbd9ed4-2eb9-4565-affc-111cf4f7ebe2
### Motivation
CheXpert is one of the fund... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6377 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6377/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6377/comments | https://api.github.com/repos/huggingface/datasets/issues/6377/events | https://github.com/huggingface/datasets/issues/6377 | 1,973,937,612 | I_kwDODunzps51p-XM | 6,377 | Support pyarrow 14.0.0 | {
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"followers_... | null | 0 | 2023-11-02T10:22:08 | 2023-11-02T15:15:45 | 2023-11-02T15:15:45 | MEMBER | null | null | null | Support pyarrow 14.0.0 by fixing the root cause of:
- #6374
and revert:
- #6375 | {
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https://api.github.com/repos/huggingface/datasets/issues/6376 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6376/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6376/comments | https://api.github.com/repos/huggingface/datasets/issues/6376/events | https://github.com/huggingface/datasets/issues/6376 | 1,973,927,468 | I_kwDODunzps51p74s | 6,376 | Caching problem when deleting a dataset | {
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Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update... | {
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https://api.github.com/repos/huggingface/datasets/issues/6374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6374/comments | https://api.github.com/repos/huggingface/datasets/issues/6374/events | https://github.com/huggingface/datasets/issues/6374 | 1,973,857,428 | I_kwDODunzps51pqyU | 6,374 | CI is broken: TypeError: Couldn't cast array | {
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```
FAILED tests/test_table.py::test_cast_sliced_fixed_size_array_to_features - TypeError: Couldn't cast array of type
fixed_size_list<item: int32>[3]
to
Sequence(feature=Value(dtype='int64', id=None), length=3, id=None)
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6371 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6371/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6371/comments | https://api.github.com/repos/huggingface/datasets/issues/6371/events | https://github.com/huggingface/datasets/issues/6371 | 1,972,807,579 | I_kwDODunzps51lqeb | 6,371 | `Dataset.from_generator` should not try to download from HF GCS | {
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When using [`Dataset.from_generator`](https://github.com/huggingface/datasets/blob/c9c1166e1cf81d38534020f9c167b326585339e5/src/datasets/arrow_dataset.py#L1072) with `streaming=False`, the internal logic will call [`download_and_prepare`](https://github.com/huggingface/datasets/blob/main/src/datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/6370 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6370/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6370/comments | https://api.github.com/repos/huggingface/datasets/issues/6370/events | https://github.com/huggingface/datasets/issues/6370 | 1,972,073,909 | I_kwDODunzps51i3W1 | 6,370 | TensorDataset format does not work with Trainer from transformers | {
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The model was built to do fine tunning on BERT model for relation extraction.
trainer.train() returns an error message ```TypeError: vars() argument must have __dict__ attribute``` when it has `train_dataset` generated from `torch.utils.data.TensorDataset`
However, in the document, the req... | {
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https://api.github.com/repos/huggingface/datasets/issues/6369 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6369/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6369/comments | https://api.github.com/repos/huggingface/datasets/issues/6369/events | https://github.com/huggingface/datasets/issues/6369 | 1,971,794,108 | I_kwDODunzps51hzC8 | 6,369 | Multi process map did not load cache file correctly | {
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When I was training model on Multiple GPUs by DDP, the dataset is tokenized multiple times after main process.
![1698820501568](https://github.com/huggingface/datasets/assets/142857... | {
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https://api.github.com/repos/huggingface/datasets/issues/6366 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6366/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6366/comments | https://api.github.com/repos/huggingface/datasets/issues/6366/events | https://github.com/huggingface/datasets/issues/6366 | 1,970,213,490 | I_kwDODunzps51bxJy | 6,366 | with_format() function returns bytes instead of PIL images even when image column is not part of "columns" | {
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When using the with_format() function on a dataset containing images, even if the image column is not part of the columns provided in the function, its type will be changed to bytes.
Here is a minimal reproduction of the bug:
https://colab.research.google.com/drive/1hyaOspgyhB41oiR1-tXE3k_gJCdJU... | {
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https://api.github.com/repos/huggingface/datasets/issues/6365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6365/comments | https://api.github.com/repos/huggingface/datasets/issues/6365/events | https://github.com/huggingface/datasets/issues/6365 | 1,970,140,392 | I_kwDODunzps51bfTo | 6,365 | Parquet size grows exponential for categorical data | {
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It seems that when saving a data frame with a categorical column inside the size can grow exponentially.
This seems to happen because when we save the categorical data to parquet, we are saving the data + all the categories existing in the original data. This happens even when the categories ar... | {
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https://api.github.com/repos/huggingface/datasets/issues/6364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6364/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6364/comments | https://api.github.com/repos/huggingface/datasets/issues/6364/events | https://github.com/huggingface/datasets/issues/6364 | 1,969,136,106 | I_kwDODunzps51XqHq | 6,364 | ArrowNotImplementedError: Unsupported cast from string to list using function cast_list | {
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I am trying to load a local csv dataset(similar to explodinggradients_fiqa) using load_dataset. When I try to pass features, I am facing the mentioned issue.
CSV Data sample(golden_dataset.csv):
Question | Context | answer | groundtruth
"what is abc?"... | {
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https://api.github.com/repos/huggingface/datasets/issues/6363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6363/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6363/comments | https://api.github.com/repos/huggingface/datasets/issues/6363/events | https://github.com/huggingface/datasets/issues/6363 | 1,968,891,277 | I_kwDODunzps51WuWN | 6,363 | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | {
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Multi-GPU fine-tuning the stable diffusion X by following https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md hangs indefinitely.
### Steps to reproduce the bug
accelerate launch train_text_to_image_sdxl.py --pretrained_model_name_or_path=$MODEL_NAME --... | {
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https://api.github.com/repos/huggingface/datasets/issues/6360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6360/comments | https://api.github.com/repos/huggingface/datasets/issues/6360/events | https://github.com/huggingface/datasets/issues/6360 | 1,965,672,950 | I_kwDODunzps51Kcn2 | 6,360 | Add support for `Sequence(Audio/Image)` feature in `push_to_hub` | {
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"followers_url": "https:... | null | 1 | 2023-10-27T14:39:57 | 2024-02-06T19:24:20 | 2024-02-06T19:24:20 | CONTRIBUTOR | null | null | null | ### Feature request
Allow for `Sequence` of `Image` (or `Audio`) to be embedded inside the shards.
### Motivation
Currently, thanks to #3685, when `embed_external_files` is set to True (which is the default) in `push_to_hub`, features of type `Image` and `Audio` are embedded inside the arrow/parquet shards, instead ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6359/comments | https://api.github.com/repos/huggingface/datasets/issues/6359/events | https://github.com/huggingface/datasets/issues/6359 | 1,965,378,583 | I_kwDODunzps51JUwX | 6,359 | Stuck in "Resolving data files..." | {
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I have an image dataset with 300k images, the size of image is 768 * 768.
When I run `dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')` in second time, it takes 50 minutes to finish "Resolving data files" part, what's going on in this part?
From my understa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6358 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6358/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6358/comments | https://api.github.com/repos/huggingface/datasets/issues/6358/events | https://github.com/huggingface/datasets/issues/6358 | 1,965,014,595 | I_kwDODunzps51H75D | 6,358 | Mounting datasets cache fails due to absolute paths. | {
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Creating a datasets cache and mounting this into, for example, a docker container, renders the data unreadable due to absolute paths written into the cache.
### Steps to reproduce the bug
1. Create a datasets cache by downloading some data
2. Mount the dataset folder into a docker contain... | {
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https://api.github.com/repos/huggingface/datasets/issues/6357 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6357/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6357/comments | https://api.github.com/repos/huggingface/datasets/issues/6357/events | https://github.com/huggingface/datasets/issues/6357 | 1,964,653,995 | I_kwDODunzps51Gj2r | 6,357 | Allow passing a multiprocessing context to functions that support `num_proc` | {
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] | open | false | null | [] | null | 0 | 2023-10-27T02:31:16 | 2023-10-27T02:31:16 | null | CONTRIBUTOR | null | null | null | ### Feature request
Allow specifying [a multiprocessing context](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods) to functions that support `num_proc` or use multiprocessing pools. For example, the following could be done:
```python
dataset = dataset.map(_func, num_proc=2, mp_cont... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6354/comments | https://api.github.com/repos/huggingface/datasets/issues/6354/events | https://github.com/huggingface/datasets/issues/6354 | 1,963,483,324 | I_kwDODunzps51CGC8 | 6,354 | `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` | {
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Looks like `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` if I'm not missing anything.
Also, returns not consistent error messages, which probably depend on the nondeterministic order of worker executions
Some exampes I've encountered:
```
File "/l... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6353 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6353/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6353/comments | https://api.github.com/repos/huggingface/datasets/issues/6353/events | https://github.com/huggingface/datasets/issues/6353 | 1,962,646,450 | I_kwDODunzps50-5uy | 6,353 | load_dataset save_to_disk load_from_disk error | {
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datasets version： 2.10.1
I `load_dataset `and `save_to_disk` sucessfully on windows10( **and I `load_from_disk(/LLM/data/wiki)` succcesfully on windows10**), and I copy the dataset `/LLM/data/wiki`
into a ubuntu system, but when I `load_from_disk(/LLM/data/wiki)` on ubuntu, something weird ha... | {
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https://api.github.com/repos/huggingface/datasets/issues/6352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6352/comments | https://api.github.com/repos/huggingface/datasets/issues/6352/events | https://github.com/huggingface/datasets/issues/6352 | 1,962,296,057 | I_kwDODunzps509kL5 | 6,352 | Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") | {
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traindata = load_dataset('wikitext', 'wikitext-2-raw-v1', split='train')
File "/home/aelkordy/.conda/envs/prune_llm/lib/python3.9/site-packages/datasets/load.py", line 1804, in load_dataset
ds = builder_instance.as_dataset(split=split, verific... | {
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https://api.github.com/repos/huggingface/datasets/issues/6350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6350/comments | https://api.github.com/repos/huggingface/datasets/issues/6350/events | https://github.com/huggingface/datasets/issues/6350 | 1,961,869,203 | I_kwDODunzps5077-T | 6,350 | Different objects are returned from calls that should be returning the same kind of object. | {
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1. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir, split='train[:1%]')
2. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir)
The only difference I would expect these cal... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6349 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6349/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6349/comments | https://api.github.com/repos/huggingface/datasets/issues/6349/events | https://github.com/huggingface/datasets/issues/6349 | 1,961,435,673 | I_kwDODunzps506SIZ | 6,349 | Can't load ds = load_dataset("imdb") | {
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I did `from datasets import load_dataset, load_metric` and then `ds = load_dataset("imdb")` and it gave me the error:
ExpectedMoreDownloadedFiles: {'http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz'}
I tried doing `ds = load_dataset("imdb",download_mode="force_redownload")` as we... | {
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https://api.github.com/repos/huggingface/datasets/issues/6348 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6348/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6348/comments | https://api.github.com/repos/huggingface/datasets/issues/6348/events | https://github.com/huggingface/datasets/issues/6348 | 1,961,268,504 | I_kwDODunzps505pUY | 6,348 | Parquet stream-conversion fails to embed images/audio files from gated repos | {
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] | open | false | null | [] | null | 0 | 2023-10-25T12:12:44 | 2023-10-25T12:13:07 | null | CONTRIBUTOR | null | null | null | it seems to be an issue with datasets not passing the token to embed_table_storage when generating a dataset
See https://github.com/huggingface/datasets-server/issues/2010 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6347/comments | https://api.github.com/repos/huggingface/datasets/issues/6347/events | https://github.com/huggingface/datasets/issues/6347 | 1,959,004,835 | I_kwDODunzps50xAqj | 6,347 | Incorrect example code in 'Create a dataset' docs | {
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On [this](https://huggingface.co/docs/datasets/create_dataset) page, the example code for loading in images and audio is incorrect.
Currently, examples are:
``` python
from datasets import ImageFolder
dataset = load_dataset("imagefolder", data_dir="/path/to/pokemon")
```
and
``` python... | {
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https://api.github.com/repos/huggingface/datasets/issues/6345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6345/comments | https://api.github.com/repos/huggingface/datasets/issues/6345/events | https://github.com/huggingface/datasets/issues/6345 | 1,957,707,870 | I_kwDODunzps50sEBe | 6,345 | support squad structure datasets using a YAML parameter | {
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] | open | false | null | [] | null | 0 | 2023-10-23T17:55:37 | 2023-10-23T17:55:37 | null | NONE | null | null | null | ### Feature request
Since the squad structure is widely used, I think it could be beneficial to support it using a YAML parameter.
could you implement automatic data loading of squad-like data using squad JSON format, to read it from JSON files and view it in the correct squad structure.
The dataset structure should... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6333/comments | https://api.github.com/repos/huggingface/datasets/issues/6333/events | https://github.com/huggingface/datasets/issues/6333 | 1,956,714,423 | I_kwDODunzps50oRe3 | 6,333 | Support fsspec 2023.10.0 | {
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- #6331
Related to issue:
- #6330
As @ZachNagengast suggested, the issue might be related to:
- https://github.com/fsspec/filesystem_spec/pull/1381 | {
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https://api.github.com/repos/huggingface/datasets/issues/6330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6330/comments | https://api.github.com/repos/huggingface/datasets/issues/6330/events | https://github.com/huggingface/datasets/issues/6330 | 1,956,053,294 | I_kwDODunzps50lwEu | 6,330 | Latest fsspec==2023.10.0 issue with streaming datasets | {
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Loading a streaming dataset with this version of fsspec fails with the following error:
`NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet.`
I suspect the issue is with this PR
https://github.com/fsspec/filesystem_spec/pull/1381
### Steps ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6329/comments | https://api.github.com/repos/huggingface/datasets/issues/6329/events | https://github.com/huggingface/datasets/issues/6329 | 1,955,858,020 | I_kwDODunzps50lAZk | 6,329 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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https://api.github.com/repos/huggingface/datasets/issues/6328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6328/comments | https://api.github.com/repos/huggingface/datasets/issues/6328/events | https://github.com/huggingface/datasets/issues/6328 | 1,955,857,904 | I_kwDODunzps50lAXw | 6,328 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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https://api.github.com/repos/huggingface/datasets/issues/6327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6327/comments | https://api.github.com/repos/huggingface/datasets/issues/6327/events | https://github.com/huggingface/datasets/issues/6327 | 1,955,470,755 | I_kwDODunzps50jh2j | 6,327 | FileNotFoundError when trying to load the downloaded dataset with `load_dataset(..., streaming=True)` | {
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Hi, I'm trying to load the dataset `togethercomputer/RedPajama-Data-1T-Sample` with `load_dataset` in streaming mode, i.e., `streaming=True`, but `FileNotFoundError` occurs.
### Steps to reproduce the bug
I've downloaded the dataset and save it to the cache dir in advance. My hope is loadi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6324/comments | https://api.github.com/repos/huggingface/datasets/issues/6324/events | https://github.com/huggingface/datasets/issues/6324 | 1,955,126,687 | I_kwDODunzps50iN2f | 6,324 | Conversion to Arrow fails due to wrong type heuristic | {
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I have a list of dictionaries with valid/JSON-serializable values.
One key is the denominator for a paragraph. In 99.9% of cases its a number, but there are some occurences of '1a', '2b' and so on.
If trying to convert this list to a dataset with `Dataset.from_list()`, I always get
`ArrowI... | {
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https://api.github.com/repos/huggingface/datasets/issues/6323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6323/comments | https://api.github.com/repos/huggingface/datasets/issues/6323/events | https://github.com/huggingface/datasets/issues/6323 | 1,954,245,980 | I_kwDODunzps50e21c | 6,323 | Loading dataset from large GCS bucket very slow since 2.14 | {
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Since updating to >2.14 we have very slow access to our parquet files on GCS when loading a dataset (>30 min vs 3s). Our GCS bucket has many objects and resolving globs is very slow. I could track down the problem to this change:
https://github.com/huggingface/datasets/blame/bade7af74437347a76083... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6320/comments | https://api.github.com/repos/huggingface/datasets/issues/6320/events | https://github.com/huggingface/datasets/issues/6320 | 1,952,618,316 | I_kwDODunzps50YpdM | 6,320 | Dataset slice splits can't load training and validation at the same time | {
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According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+test")`
to load the train and test sets from the dataset.
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https://api.github.com/repos/huggingface/datasets/issues/6319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6319/comments | https://api.github.com/repos/huggingface/datasets/issues/6319/events | https://github.com/huggingface/datasets/issues/6319 | 1,952,101,717 | I_kwDODunzps50WrVV | 6,319 | Datasets.map is severely broken | {
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"avatar_url": "https://avatars.githubusercontent.com/u/4603365?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/phalexo",
"html_url": "https://github.com/phalexo",
"followers_url": "https://api.github.com/users/phalexo/... | [] | open | false | null | [] | null | 15 | 2023-10-19T12:19:33 | 2024-08-08T17:05:08 | null | NONE | null | null | null | ### Describe the bug
Regardless of how many cores I used, I have 16 or 32 threads, map slows down to a crawl at around 80% done, lingers maybe until 97% extremely slowly and NEVER finishes the job. It just hangs.
After watching this for 27 hours I control-C out of it. Until the end one process appears to be doing s... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6317/comments | https://api.github.com/repos/huggingface/datasets/issues/6317/events | https://github.com/huggingface/datasets/issues/6317 | 1,951,965,668 | I_kwDODunzps50WKHk | 6,317 | sentiment140 dataset unavailable | {
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"login": "albertvillanova",
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"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
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"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
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{
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_... | null | 2 | 2023-10-19T11:25:21 | 2023-10-19T13:04:56 | 2023-10-19T13:04:56 | NONE | null | null | null | ### Describe the bug
loading the dataset using load_dataset("sentiment140") returns the following error
ConnectionError: Couldn't reach http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip (error 403)
### Steps to reproduce the bug
Run the following code (version should not matter).
```
from data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6315/comments | https://api.github.com/repos/huggingface/datasets/issues/6315/events | https://github.com/huggingface/datasets/issues/6315 | 1,951,800,819 | I_kwDODunzps50Vh3z | 6,315 | Hub datasets with CSV metadata raise ArrowInvalid: JSON parse error: Invalid value. in row 0 | {
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"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
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"login": "albertvillanova",
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"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_... | null | 0 | 2023-10-19T10:11:29 | 2023-10-20T06:14:10 | 2023-10-20T06:14:10 | MEMBER | null | null | null | When trying to load a Hub dataset that contains a CSV metadata file, it raises an `ArrowInvalid` error:
```
E pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
pyarrow/error.pxi:100: ArrowInvalid
```
See: https://huggingface.co/datasets/lukarape/public_small_papers/discussions/1 | {
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https://api.github.com/repos/huggingface/datasets/issues/6311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6311/comments | https://api.github.com/repos/huggingface/datasets/issues/6311/events | https://github.com/huggingface/datasets/issues/6311 | 1,949,304,993 | I_kwDODunzps50MAih | 6,311 | cast_column to Sequence with length=4 occur exception raise in datasets/table.py:2146 | {
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"followers_url": "https://api.github.com/users/nei... | [] | closed | false | null | [] | null | 4 | 2023-10-18T09:38:05 | 2024-02-06T19:24:20 | 2024-02-06T19:24:20 | NONE | null | null | null | ### Describe the bug
i load a dataset from local csv file which has 187383612 examples, then use `map` to generate new columns for test.
here is my code :
```
import os
from datasets import load_dataset
from datasets.features import Sequence, Value
def add_new_path(example):
example["ais_bbox"] =... | {
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https://api.github.com/repos/huggingface/datasets/issues/6308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6308/comments | https://api.github.com/repos/huggingface/datasets/issues/6308/events | https://github.com/huggingface/datasets/issues/6308 | 1,946,810,625 | I_kwDODunzps50CfkB | 6,308 | module 'resource' has no attribute 'error' | {
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"html_url": "https://github.com/NeoWang9999",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | null | 4 | 2023-10-17T08:08:54 | 2023-10-25T17:09:22 | 2023-10-25T17:09:22 | NONE | null | null | null | ### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | {
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https://api.github.com/repos/huggingface/datasets/issues/6306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6306/comments | https://api.github.com/repos/huggingface/datasets/issues/6306/events | https://github.com/huggingface/datasets/issues/6306 | 1,946,363,452 | I_kwDODunzps50AyY8 | 6,306 | pyinstaller : OSError: could not get source code | {
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"followers_url": "https://api.githu... | [] | closed | false | null | [] | null | 5 | 2023-10-17T01:41:51 | 2023-11-02T07:24:51 | 2023-10-18T14:03:42 | NONE | null | null | null | ### Describe the bug
I ran a package with pyinstaller and got the following error：
### Steps to reproduce the bug
```
...
File "datasets\__init__.py", line 52, in <module>
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_an... | {
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https://api.github.com/repos/huggingface/datasets/issues/6305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6305/comments | https://api.github.com/repos/huggingface/datasets/issues/6305/events | https://github.com/huggingface/datasets/issues/6305 | 1,946,010,912 | I_kwDODunzps5z_cUg | 6,305 | Cannot load dataset with `2.14.5`: `FileNotFound` error | {
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"avatar_url": "https://avatars.githubusercontent.com/u/167943?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/finiteautomata",
"html_url": "https://github.com/finiteautomata",
"followers_url": "https://api.github... | [] | closed | false | {
"login": "albertvillanova",
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"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.g... | [
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"login": "albertvillanova",
"id": 8515462,
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"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_... | null | 2 | 2023-10-16T20:11:27 | 2023-10-18T13:50:36 | 2023-10-18T13:50:36 | NONE | null | null | null | ### Describe the bug
I'm trying to load [piuba-bigdata/articles_and_comments] and I'm stumbling with this error on `2.14.5`. However, this works on `2.10.0`.
### Steps to reproduce the bug
[Colab link](https://colab.research.google.com/drive/1SAftFMQnFE708ikRnJJHIXZV7R5IBOCE#scrollTo=r2R2ipCCDmsg)
```python
D... | {
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https://api.github.com/repos/huggingface/datasets/issues/6303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6303/comments | https://api.github.com/repos/huggingface/datasets/issues/6303/events | https://github.com/huggingface/datasets/issues/6303 | 1,943,466,532 | I_kwDODunzps5z1vIk | 6,303 | Parquet uploads off-by-one naming scheme | {
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"followers_url": "https://api.github.... | [] | open | false | null | [] | null | 4 | 2023-10-14T18:31:03 | 2023-10-16T16:33:21 | null | CONTRIBUTOR | null | null | null | ### Describe the bug
I noticed this numbering scheme not matching up in a different project and wanted to raise it as an issue for discussion, what is the actual proper way to have these stored?
<img width="425" alt="image" src="https://github.com/huggingface/datasets/assets/1981179/3ffa2144-7c9a-446f-b521-a5e9db71... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6302/comments | https://api.github.com/repos/huggingface/datasets/issues/6302/events | https://github.com/huggingface/datasets/issues/6302 | 1,942,096,078 | I_kwDODunzps5zwgjO | 6,302 | ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size` | {
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"id": 2855550,
"node_id": "MDQ6VXNlcjI4NTU1NTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/2855550?v=4",
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"html_url": "https://github.com/Rassibassi",
"followers_url": "https://api.github.com/users... | [] | closed | false | null | [] | null | 2 | 2023-10-13T14:43:36 | 2023-10-17T06:52:12 | 2023-10-17T06:52:11 | NONE | null | null | null | ### Describe the bug
An example from [1], does not work when limiting shards with `max_shard_size`.
Try the following example with low `max_shard_size`, such as:
```python
builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB")
```
The reason f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6299/comments | https://api.github.com/repos/huggingface/datasets/issues/6299/events | https://github.com/huggingface/datasets/issues/6299 | 1,939,649,238 | I_kwDODunzps5znLLW | 6,299 | Support for newer versions of JAX | {
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] | closed | false | null | [] | null | 0 | 2023-10-12T10:03:46 | 2023-10-12T16:28:59 | 2023-10-12T16:28:59 | NONE | null | null | null | ### Feature request
Hi,
I like your idea of adapting the datasets library to be usable with JAX. Thank you for that.
However, in your [setup.py](https://github.com/huggingface/datasets/blob/main/setup.py), you enforce old versions of JAX <= 0.3... It is very cumbersome !
What is the rationale for such a lim... | {
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https://api.github.com/repos/huggingface/datasets/issues/6294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6294/comments | https://api.github.com/repos/huggingface/datasets/issues/6294/events | https://github.com/huggingface/datasets/issues/6294 | 1,937,359,605 | I_kwDODunzps5zecL1 | 6,294 | IndexError: Invalid key is out of bounds for size 0 despite having a populated dataset | {
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I am encountering an `IndexError` when trying to access data from a DataLoader which wraps around a dataset I've loaded using the `datasets` library. The error suggests that the dataset size is `0`, but when I check the length and print the dataset, it's clear that it has `1166` entries.
### Step... | {
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https://api.github.com/repos/huggingface/datasets/issues/6293 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6293/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6293/comments | https://api.github.com/repos/huggingface/datasets/issues/6293/events | https://github.com/huggingface/datasets/issues/6293 | 1,937,238,047 | I_kwDODunzps5zd-gf | 6,293 | Choose columns to stream parquet data in streaming mode | {
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] | closed | false | null | [] | null | 0 | 2023-10-11T08:59:36 | 2023-10-11T16:21:38 | 2023-10-11T16:21:38 | MEMBER | null | null | null | Currently passing columns= to load_dataset in streaming mode fails
```
Tried to load parquet data with columns '['link']' with mismatching features '{'caption': Value(dtype='string', id=None), 'image': {'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='null', id=None)}, 'link': Value(dtype='string', id=... | {
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https://api.github.com/repos/huggingface/datasets/issues/6292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6292/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6292/comments | https://api.github.com/repos/huggingface/datasets/issues/6292/events | https://github.com/huggingface/datasets/issues/6292 | 1,937,050,470 | I_kwDODunzps5zdQtm | 6,292 | how to load the image of dtype float32 or float64 | {
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{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data? | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6291 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6291/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6291/comments | https://api.github.com/repos/huggingface/datasets/issues/6291/events | https://github.com/huggingface/datasets/issues/6291 | 1,936,129,871 | I_kwDODunzps5zZv9P | 6,291 | Casting type from Array2D int to Array2D float crashes | {
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"avatar_url": "https://avatars.githubusercontent.com/u/22567306?v=4",
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"html_url": "https://github.com/AlanBlanchet",
"followers_url": "https://api.github.c... | [] | closed | false | null | [] | null | 1 | 2023-10-10T20:10:10 | 2023-10-13T13:45:31 | 2023-10-13T13:45:31 | NONE | null | null | null | ### Describe the bug
I am on a school project and the initial type for feature annotations are `Array2D(shape=(None, 4))`. I am trying to cast this type to a `float64` and pyarrow gives me this error :
```
Traceback (most recent call last):
File "/home/alan/dev/ClassezDesImagesAvecDesAlgorithmesDeDeeplearnin... | {
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https://api.github.com/repos/huggingface/datasets/issues/6290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6290/comments | https://api.github.com/repos/huggingface/datasets/issues/6290/events | https://github.com/huggingface/datasets/issues/6290 | 1,935,629,679 | I_kwDODunzps5zX11v | 6,290 | Incremental dataset (e.g. `.push_to_hub(..., append=True)`) | {
"login": "Wauplin",
"id": 11801849,
"node_id": "MDQ6VXNlcjExODAxODQ5",
"avatar_url": "https://avatars.githubusercontent.com/u/11801849?v=4",
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"html_url": "https://github.com/Wauplin",
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] | open | false | null | [] | null | 4 | 2023-10-10T15:18:03 | 2024-09-02T08:11:17 | null | CONTRIBUTOR | null | null | null | ### Feature request
Have the possibility to do `ds.push_to_hub(..., append=True)`.
### Motivation
Requested in this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65252597c4edc168202a5eaa) and
this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/4#6524f675... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6288 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6288/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6288/comments | https://api.github.com/repos/huggingface/datasets/issues/6288/events | https://github.com/huggingface/datasets/issues/6288 | 1,935,005,457 | I_kwDODunzps5zVdcR | 6,288 | Dataset.from_pandas with a DataFrame of PIL.Images | {
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] | open | false | null | [] | null | 2 | 2023-10-10T10:29:16 | 2023-10-20T18:23:05 | null | MEMBER | null | null | null | Currently type inference doesn't know what to do with a Pandas Series of PIL.Image objects, though it would be nice to get a Dataset with the Image type this way | null | {
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