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https://api.github.com/repos/huggingface/datasets/issues/6463 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6463/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6463/comments | https://api.github.com/repos/huggingface/datasets/issues/6463/events | https://github.com/huggingface/datasets/pull/6463 | 2,020,702,967 | PR_kwDODunzps5g46_4 | 6,463 | Disable benchmarks in PRs | {
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Having the benchmarks on commits on `main` is enough imo | {
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this should fix the CI in https://github.com/huggingface/datasets/pull/6458 too | {
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Fix... | {
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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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} | I drafted the logic to retrieve a no-script dataset in the cache.
For example it can reload datasets that were pushed to hub if they exist in the cache.
example:
```python
>>> Dataset.from_dict({"a": [1, 2]}).push_to_hub("lhoestq/tmp")
>>> load_dataset("lhoestq/tmp")
DatasetDict({
train: Dataset({
... | {
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} | Related to discussion at https://github.com/huggingface/datasets/pull/6255
this makes this code run in 2sec instead of >10sec
```python
from datasets import load_dataset
ds = load_dataset("glue", "sst2", streaming=True, trust_remote_code=False)
```
For some datasets with many configs and files it can be u... | {
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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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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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(not super important but we might as well keep it until the next major release)
this is needed to fix the tests in https://github.com/huggingface/datasets/pull/6448 | {
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It makes the following improvements to the serialization API:
* consistent order of a `dict`'s keys
* support for hashing `torch.compile`-ed modules and functions
* deprecates `datasets.fingerprint.hashregister` as the `ha... | {
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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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```
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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"archi... | closed | false | [] | null | 1 | 2023-11-24T10:34:09 | 2023-11-28T11:07:17 | 2023-11-24T17:24:38 | null | CONTRIBUTOR | [] | null | 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/6449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6449/comments | https://api.github.com/repos/huggingface/datasets/issues/6449/events | https://github.com/huggingface/datasets/pull/6449 | 2,008,617,992 | PR_kwDODunzps5gQCVZ | 6,449 | Fix metadata file resolution when inferred pattern is `**` | {
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Fix #6442
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https://api.github.com/repos/huggingface/datasets/issues/6448 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6448/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6448/comments | https://api.github.com/repos/huggingface/datasets/issues/6448/events | https://github.com/huggingface/datasets/pull/6448 | 2,008,614,985 | PR_kwDODunzps5gQBsE | 6,448 | Use parquet export if possible | {
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"merged_at": "2023-12-01T17:50... | The idea is to make this code work for datasets with scripts if they have a Parquet export
```python
ds = load_dataset("squad", trust_remote_code=False)
```
And more generally, it means we use the Parquet export whenever it's possible (it's safer and faster than dataset scripts).
I also added a `config.USE_P... | {
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... | open | false | [] | null | 0 | 2023-11-23T13:03:07 | 2023-11-23T13:03:07 | null | null | CONTRIBUTOR | [] | null | 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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[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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(Reverts https://github.com/huggingface/datasets/pull/859, but these `INFO` logs are not printed by default (anymore?), so ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6444 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6444/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6444/comments | https://api.github.com/repos/huggingface/datasets/issues/6444/events | https://github.com/huggingface/datasets/pull/6444 | 2,006,842,179 | PR_kwDODunzps5gKG_e | 6,444 | Remove `Table.__getstate__` and `Table.__setstate__` | {
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"merged_at": "2023-11-23T15:13... | When using distributed training, the code of `os.remove(filename)` may be executed separately by each rank, leading to `FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmprxxxxxxx.arrow'`
```python
from torch import distributed as dist
if dist.get_rank() == 0:
dataset = process_dataset(*args, ... | {
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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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] | open | false | [] | null | 6 | 2023-11-22T15:18:10 | 2025-06-23T13:46:46 | null | null | CONTRIBUTOR | [] | null | null | null | null | Look at https://huggingface.co/datasets/severo/doc-yaml-2
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
... | null | {
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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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"followers_url": "https://api.github.com/... | [] | closed | false | [] | null | 1 | 2023-11-22T11:01:35 | 2023-11-24T17:13:03 | 2023-11-24T17:13:03 | null | NONE | [] | null | null | null | null | ### Describe the bug
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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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 | 6 | 2023-11-20T11:54:58 | 2024-02-07T08:36:51 | null | null | CONTRIBUTOR | [] | null | 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/6434 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6434/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6434/comments | https://api.github.com/repos/huggingface/datasets/issues/6434/events | https://github.com/huggingface/datasets/pull/6434 | 1,999,554,915 | PR_kwDODunzps5fxgUO | 6,434 | Use `ruff` for formatting | {
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Additionally, it improves the doc page about the `datasets`' utilities, and the handling of local `fsspec` paths in `cached_path`.
Fix #6409 | {
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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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Fix #6397.
CC: @severo | {
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https://api.github.com/repos/huggingface/datasets/issues/6429 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6429/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6429/comments | https://api.github.com/repos/huggingface/datasets/issues/6429/events | https://github.com/huggingface/datasets/pull/6429 | 1,996,723,698 | PR_kwDODunzps5fn1r_ | 6,429 | Add trust_remote_code argument | {
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```python
ds = load_dataset(..., trust_remote_code=True) # run remote code (current default)
```
It would default to `True` (current behavior) and in the next major release it will prompt the user to check the code before running it (we'll communicate o... | {
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https://api.github.com/repos/huggingface/datasets/issues/6426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6426/comments | https://api.github.com/repos/huggingface/datasets/issues/6426/events | https://github.com/huggingface/datasets/pull/6426 | 1,995,363,264 | PR_kwDODunzps5fjOEK | 6,426 | More robust temporary directory deletion | {
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/usr/share/miniconda/envs/build-datasets/bin/conda-build:11: DeprecationWarning: conda_build.cli.main_build.main is deprecated and will be removed in 4.0.0. Use `conda build` instead.
```
This PR fixes the deprecation warning by using `co... | {
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"merged_at": "2023-11-30T17:23... | Hi all! This is a PR adding a troubleshooting guide for Datasets docs.
I went through the library's GitHub Issues and Forum questions and identified a few issues that are common enough that I think it would be valuable to include them in the troubleshooting guide. These are:
- creating a dataset from a folder and n... | {
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Note that conda release failed in latest 2.14.7 release: https://github.com/huggingface/datasets/actions/runs/6874667214/job/18696761723
```
Traceback (most recent call last):
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... | open | false | [] | null | 2 | 2023-11-15T11:18:34 | 2023-11-16T10:00:21 | null | null | NONE | [] | null | 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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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
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- add `if __name__ == "__main__"`
fix https://github.com/huggingface/datasets/issues/6186 | {
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https://api.github.com/repos/huggingface/datasets/issues/6414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6414/comments | https://api.github.com/repos/huggingface/datasets/issues/6414/events | https://github.com/huggingface/datasets/pull/6414 | 1,992,482,491 | PR_kwDODunzps5fZZ2l | 6,414 | Set `usedforsecurity=False` in hashlib methods (FIPS compliance) | {
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"merged_at": "2023-11-17T14:17... | Related to https://github.com/huggingface/transformers/issues/27034 and https://github.com/huggingface/huggingface_hub/pull/1782.
**TL;DR:** `hashlib` is not a secure library for cryptography-related stuff. We are only using `hashlib` for non-security-related purposes in `datasets` so it's fine. From Python 3.9 we s... | {
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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 | 1 | 2023-11-14T10:01:34 | 2023-11-14T22:19:46 | 2023-11-14T22:19:46 | null | NONE | [] | null | 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/6411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6411/comments | https://api.github.com/repos/huggingface/datasets/issues/6411/events | https://github.com/huggingface/datasets/pull/6411 | 1,992,386,630 | PR_kwDODunzps5fZE9F | 6,411 | Fix dependency conflict within CI build documentation | {
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"merged_at": "2023-11-14T10:05... | Manually fix dependency conflict on `typing-extensions` version originated by `apache-beam` + `pydantic` (now a dependency of `huggingface-hub`).
This is a temporary hot fix of our CI build documentation until we stop using `apache-beam`.
Fix #6406. | {
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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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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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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/6404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6404/comments | https://api.github.com/repos/huggingface/datasets/issues/6404/events | https://github.com/huggingface/datasets/pull/6404 | 1,990,211,901 | PR_kwDODunzps5fRrJ- | 6,404 | Support pyarrow 14.0.1 and fix vulnerability CVE-2023-47248 | {
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Fix #6396. | {
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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/6402 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6402/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6402/comments | https://api.github.com/repos/huggingface/datasets/issues/6402/events | https://github.com/huggingface/datasets/pull/6402 | 1,989,094,542 | PR_kwDODunzps5fOBdK | 6,402 | Update torch_formatter.py | {
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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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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/6398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6398/comments | https://api.github.com/repos/huggingface/datasets/issues/6398/events | https://github.com/huggingface/datasets/pull/6398 | 1,987,786,446 | PR_kwDODunzps5fJlP7 | 6,398 | Remove redundant condition in builders | {
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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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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... | {
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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):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/... | {
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"merged_at": "2023-11-28T16:33... | Allow `load_dataset` to support the Webdataset format.
It allows users to download/stream data from local files or from the Hugging Face Hub.
Moreover it will enable the Dataset Viewer for Webdataset datasets on HF.
## Implementation details
- I added a new Webdataset builder
- dataset with TAR files are n... | {
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"merged_at": "2023-11-14T15:15... | getting this error:
```
/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/datasets/table.py:1387: FutureWarning: promote has been superseded by mode='default'.
return cls._concat_blocks(pa_tables_to_concat_vertically, axis=0)
```
Since datasets supports arrow greater than 8.0.0, we need to handle both ... | {
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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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... | open | false | [] | null | 0 | 2023-11-07T11:27:36 | 2023-11-07T11:28:53 | null | null | NONE | [] | null | 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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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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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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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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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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... | open | false | [] | null | 3 | 2023-11-04T15:36:11 | 2024-01-10T11:53:52 | null | null | NONE | [] | null | 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/6381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6381/comments | https://api.github.com/repos/huggingface/datasets/issues/6381/events | https://github.com/huggingface/datasets/pull/6381 | 1,975,028,470 | PR_kwDODunzps5eeYty | 6,381 | Add my dataset | {
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} | ## medical data
**Description:**
This dataset, named "medical data," is a collection of text data from various sources, carefully curated and cleaned for use in natural language processing (NLP) tasks. It consists of a diverse range of text, including articles, books, and online content, covering topics from scienc... | {
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https://api.github.com/repos/huggingface/datasets/issues/6380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6380/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6380/comments | https://api.github.com/repos/huggingface/datasets/issues/6380/events | https://github.com/huggingface/datasets/pull/6380 | 1,974,741,221 | PR_kwDODunzps5edaO6 | 6,380 | Fix for continuation behaviour on broken dataset archives due to starving download connections via HTTP-GET | {
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} | This PR proposes a (slightly hacky) fix for an Issue that can occur when downloading large dataset parts over unstable connections.
The underlying issue is also being discussed in https://github.com/huggingface/datasets/issues/5594.
Issue Symptoms & Behaviour:
- Download of a large archive file during dataset down... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6379 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6379/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6379/comments | https://api.github.com/repos/huggingface/datasets/issues/6379/events | https://github.com/huggingface/datasets/pull/6379 | 1,974,638,850 | PR_kwDODunzps5edDZL | 6,379 | Avoid redundant warning when encoding NumPy array as `Image` | {
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Additionally, fix "unreachable" checks in `encode_np_array`. | {
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https://api.github.com/repos/huggingface/datasets/issues/6378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6378/comments | https://api.github.com/repos/huggingface/datasets/issues/6378/events | https://github.com/huggingface/datasets/pull/6378 | 1,973,942,770 | PR_kwDODunzps5eaqhv | 6,378 | Support pyarrow 14.0.0 | {
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Fix #6377 and fix #6374 (root cause).
This fix is analog to a previous one:
- #6175 | {
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- #6374
and revert:
- #6375 | {
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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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```
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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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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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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When I was training model on Multiple GPUs by DDP, the dataset is tokenized multiple times after main process.
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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/6362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6362/comments | https://api.github.com/repos/huggingface/datasets/issues/6362/events | https://github.com/huggingface/datasets/pull/6362 | 1,965,794,569 | PR_kwDODunzps5d_MxD | 6,362 | Simplify filesystem logic | {
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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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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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