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https://api.github.com/repos/huggingface/datasets/issues/5683 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5683/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5683/comments | https://api.github.com/repos/huggingface/datasets/issues/5683/events | https://github.com/huggingface/datasets/pull/5683 | 1,646,001,197 | PR_kwDODunzps5NLUq1 | 5,683 | Fix verification_mode when ignore_verifications is passed | {
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Related to:
- #5303
Fix #5682. | {
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```
ValueError: 'none' is not a valid VerificationMode
``` | {
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``` python
d1 = Dataset.from_dict({"a": [0, 1, 2]})
d2 = Dataset.from_dict({"a": [10, 11, 12, 13]})
d3 = Dataset.from_dict({"a": [20, 21, 22, 23, 24]})
dataset = interleave_datasets([d1, d2, d3], stopping... | {
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As a user, I can set a working dir for intermediate data creation. The processed files will be moved to the cache dir, like
```
load_dataset(…, working_dir=”/temp/dir”, cache_dir=”/cloud_dir”).
```
### Motivation
This will help the use case for using datasets with cloud storage as cache. It wi... | null | {
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Add a new API `Dataset.from_spark` to create a Dataset from Spark DataFrame.
### Motivation
Spark is a distributed computing framework that can handle large datasets. By supporting loading Spark DataFrames directly into Hugging Face Datasets, we enable take the advantages of spark to processing t... | {
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`Dataset.map()` crashes any time any column contains more than `writer_batch_size` (default 1000) empty dictionaries, regardless of whether the column is being operated on. The error does not occur if the dictionaries are non-empty.
### Steps to reproduce the bug
Example:
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However, some of the datasets tagged by ISO language code are not accessible by this search form.
For example, [myv_ru_2022](https://huggingface.co/datasets/slone/myv_ru_2022) is has `myv` language tag but it is not included in Languages search fo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5673/comments | https://api.github.com/repos/huggingface/datasets/issues/5673/events | https://github.com/huggingface/datasets/pull/5673 | 1,641,066,352 | PR_kwDODunzps5M6wc3 | 5,673 | Pass down storage options | {
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https://api.github.com/repos/huggingface/datasets/issues/5672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5672/comments | https://api.github.com/repos/huggingface/datasets/issues/5672/events | https://github.com/huggingface/datasets/issues/5672 | 1,641,005,322 | I_kwDODunzps5hz8EK | 5,672 | Pushing dataset to hub crash | {
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Uploading a dataset with `push_to_hub()` fails without error description.
### Steps to reproduce the bug
Hey there,
I've built a image dataset of 100k images + text pair as described here https://huggingface.co/docs/datasets/image_dataset#imagefolder
Now I'm trying to push it to the hub b... | {
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https://api.github.com/repos/huggingface/datasets/issues/5671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5671/comments | https://api.github.com/repos/huggingface/datasets/issues/5671/events | https://github.com/huggingface/datasets/issues/5671 | 1,640,840,012 | I_kwDODunzps5hzTtM | 5,671 | How to use `load_dataset('glue', 'cola')` | {
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I'm new to use HuggingFace datasets but I cannot use `load_dataset('glue', 'cola')`.
- I was stacked by the following problem:
```python
from datasets import load_dataset
cola_dataset = load_dataset('glue', 'cola')
------------------------------------------------------------------------... | {
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https://api.github.com/repos/huggingface/datasets/issues/5670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5670/comments | https://api.github.com/repos/huggingface/datasets/issues/5670/events | https://github.com/huggingface/datasets/issues/5670 | 1,640,607,045 | I_kwDODunzps5hya1F | 5,670 | Unable to load multi class classification datasets | {
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I've been playing around with huggingface library, mostly with `datasets` and wanted to download the multi class classification datasets to fine tune BERT on this task. ([link](https://huggingface.co/docs/transformers/training#train-with-pytorch-trainer)).
While loading the dataset, I'm getting... | {
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https://api.github.com/repos/huggingface/datasets/issues/5669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5669/comments | https://api.github.com/repos/huggingface/datasets/issues/5669/events | https://github.com/huggingface/datasets/issues/5669 | 1,638,070,046 | I_kwDODunzps5hovce | 5,669 | Almost identical datasets, huge performance difference | {
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I am struggling to understand (huge) performance difference between two datasets that are almost identical.
### Steps to reproduce the bug
# Fast (normal) dataset speed:
```python
import cv2
from datasets import load_dataset
from torch.utils.data import DataLoader
dataset = load_dataset(... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5668/comments | https://api.github.com/repos/huggingface/datasets/issues/5668/events | https://github.com/huggingface/datasets/pull/5668 | 1,638,018,598 | PR_kwDODunzps5MwuIp | 5,668 | Support for downloading only provided split | {
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But I'm not sure if it's possible to solve cache issues, mostly with `dataset_info.json` | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5667/comments | https://api.github.com/repos/huggingface/datasets/issues/5667/events | https://github.com/huggingface/datasets/pull/5667 | 1,637,789,361 | PR_kwDODunzps5Mv8Im | 5,667 | Jax requires jaxlib | {
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- #5663
we should revert the temporary pin on tensorflow introduced by:
- #5664 | {
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https://api.github.com/repos/huggingface/datasets/issues/5665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5665/comments | https://api.github.com/repos/huggingface/datasets/issues/5665/events | https://github.com/huggingface/datasets/issues/5665 | 1,637,193,648 | I_kwDODunzps5hlZew | 5,665 | Feature request: IterableDataset.push_to_hub | {
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] | open | false | null | [] | null | 6 | 2023-03-23T09:53:04 | 2024-11-15T13:30:42 | null | CONTRIBUTOR | null | ### Feature request
It'd be great to have a lazy push to hub, similar to the lazy loading we have with `IterableDataset`.
Suppose you'd like to filter [LAION](https://huggingface.co/datasets/laion/laion400m) based on certain conditions, but as LAION doesn't fit into your disk, you'd like to leverage streaming:
`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5664 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5664/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5664/comments | https://api.github.com/repos/huggingface/datasets/issues/5664/events | https://github.com/huggingface/datasets/pull/5664 | 1,637,192,684 | PR_kwDODunzps5Mt6vp | 5,664 | Fix CI by temporarily pinning tensorflow < 2.12.0 | {
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- In Python 3.10, tensorflow-2.12.0 also installs `jax`
Fix #5663
Until root cause is fixed. | {
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```
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_map_jax_in_memory - ModuleNotFoundError: jax requires jaxlib to be installed. See https://github.com/google/jax#installation for installati... | {
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- https://github.com/charliermarsh/ruff/releases/tag/v0.0.258
- https://github.com/charliermarsh/ruff/pull/3605
This PR fixes one unnecessary dict comprehension in our code: no need to unpack and re-pack the tuple valu... | {
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```
src/datasets/arrow_dataset.py:3267:35: C416 [*] Unnecessary `dict` comprehension (rewrite using `dict()`)
Found 1 error.
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Wouldn't it be great if the various class balancing operations from imbalanced-learn were available as part of datasets?
### Motivation
I'm trying to use imbalanced-learn to balance a dataset, but it's not clear how to get the two to interoperate - what would be great would be some examples. I'v... | {
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I'm encountering several issues trying to load mp3 audio files using `datasets` on a TPU v4.
The PR https://github.com/huggingface/datasets/pull/5573 updated the audio loading logic to rely solely on the `soundfile`/`libsndfile` libraries for loading audio samples, regardless of their file t... | {
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@mariosasko | {
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Right now `to_iterable_dataset` on images/audio hurts iterable dataset performance a lot (e.g. x4 slower because it encodes+decodes images/audios unnecessarily).
I fixed it by providing a generator that yields undecoded examples | {
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Hi, I'm trying to use `.map` method to cache multiple random crops from the image to speed up data processing during training, as the image size is too big.
The map function executes all iterations, and then returns the following error:
```bash
Traceback (most recent call last): ... | null | {
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[`num_proc`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.DatasetDict.save_to_disk.num_proc) will affect `num_shards`, but it's not documented
### Steps to reproduce the bug
Nothing to reproduce
### Expected behavior
[document of `num_shards`](https://... | {
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https://api.github.com/repos/huggingface/datasets/issues/5652 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5652/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5652/comments | https://api.github.com/repos/huggingface/datasets/issues/5652/events | https://github.com/huggingface/datasets/pull/5652 | 1,632,546,073 | PR_kwDODunzps5MeVUR | 5,652 | Copy features | {
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```python
dset_features = dset.features
dset_features.pop(col_to_remove)
dset = dset.map(..., features=dset_features)
```
Right now this causes issues because it modifies the features dict in place before the map.
In this PR I modified `dset.features` to return a ... | {
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"follo... | null | 5 | 2023-03-20T12:02:18 | 2023-10-27T14:04:37 | 2023-10-27T14:04:37 | NONE | null | ### Describe the bug
save_to_disk() does not expand `~`
1. `dataset = load_datasets("any dataset")`
2. `dataset.save_to_disk("~/data")`
3. a folder named "~" created in current folder
4. FileNotFoundError is raised, because the expanded path does not exist (`/home/<user>/data`)
related issue https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5650/comments | https://api.github.com/repos/huggingface/datasets/issues/5650/events | https://github.com/huggingface/datasets/issues/5650 | 1,630,336,919 | I_kwDODunzps5hLPeX | 5,650 | load_dataset can't work correct with my image data | {
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When i use load_dataset("my_folder_name", split="train") this function create dataset in which there are only 4 images, the remaining 19000 images were not added there. What is the problem and did not understand. Tried converting imag... | {
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It seems like the "index" column is designed to be unique? The values are only unique per batch. The SQL index is not a unique index.
This can be a problem, for instance, when building a faiss index on a dataset and then trying to match up ids with a sql export.
### Steps to reproduce the ... | {
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Hi,
I noticed that `flatten_indices` throws an error when the batch format is `pandas`. This is probably due to the fact that flatten_indices uses map internally which doesn't accept dataframes as the transformation function output
### Steps to reproduce the bug
tabular_data = pd.DataFrame(np.r... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5647/comments | https://api.github.com/repos/huggingface/datasets/issues/5647/events | https://github.com/huggingface/datasets/issues/5647 | 1,628,225,544 | I_kwDODunzps5hDMAI | 5,647 | Make all print statements optional | {
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Make all print statements optional to speed up the development
### Motivation
Im loading multiple tiny datasets and all the print statements make the loading slower
### Your contribution
I can help contribute | {
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https://api.github.com/repos/huggingface/datasets/issues/5646 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5646/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5646/comments | https://api.github.com/repos/huggingface/datasets/issues/5646/events | https://github.com/huggingface/datasets/pull/5646 | 1,627,838,762 | PR_kwDODunzps5MOqjj | 5,646 | Allow self as key in `Features` | {
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I'm using Huggingface Datasets library to load the dataset in google colab
When I do,
> data = train_dataset.select(range(10))
or
> train_datasets = train_dataset.map(
> process_data_to_model_inputs,
> batched=True,
> batch_size=batch_size,
> remove_columns... | {
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https://api.github.com/repos/huggingface/datasets/issues/5644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5644/comments | https://api.github.com/repos/huggingface/datasets/issues/5644/events | https://github.com/huggingface/datasets/pull/5644 | 1,626,204,046 | PR_kwDODunzps5MJHUi | 5,644 | Allow direct cast from binary to Audio/Image | {
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https://api.github.com/repos/huggingface/datasets/issues/5643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5643/comments | https://api.github.com/repos/huggingface/datasets/issues/5643/events | https://github.com/huggingface/datasets/pull/5643 | 1,626,160,220 | PR_kwDODunzps5MI9zO | 5,643 | Support PyArrow arrays as column values in `from_dict` | {
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"Fixes" https://discuss.huggingface.co/t/pyarrow-lib-floatarray-did-not-recognize-python-value-type-when-inferring-an-arrow-data-type/33417 | {
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https://api.github.com/repos/huggingface/datasets/issues/5642 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5642/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5642/comments | https://api.github.com/repos/huggingface/datasets/issues/5642/events | https://github.com/huggingface/datasets/pull/5642 | 1,626,043,177 | PR_kwDODunzps5MIjw9 | 5,642 | Bump hfh to 0.11.0 | {
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```
requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://hub-ci.huggingface.co/api/datasets/__DUMMY_TRANSFORMERS_USER__/...
```
(e.g. from this [failing CI](https://github.com/huggingface/datasets/actions/runs/4428956210/jobs/7769160997))
0.11.0 is the current mini... | {
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https://api.github.com/repos/huggingface/datasets/issues/5641 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5641/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5641/comments | https://api.github.com/repos/huggingface/datasets/issues/5641/events | https://github.com/huggingface/datasets/issues/5641 | 1,625,942,730 | I_kwDODunzps5g6erK | 5,641 | Features cannot be named "self" | {
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Hi,
I noticed that we cannot create a HuggingFace dataset from Pandas DataFrame with a column named `self`.
The error seems to be coming from arguments validation in the `Features.from_dict` function.
### Steps to reproduce the bug
```python
import datasets
dummy_pandas = pd.DataFrame([0... | {
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https://api.github.com/repos/huggingface/datasets/issues/5640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5640/comments | https://api.github.com/repos/huggingface/datasets/issues/5640/events | https://github.com/huggingface/datasets/pull/5640 | 1,625,896,057 | PR_kwDODunzps5MID3I | 5,640 | Less zip false positives | {
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This is a known issue: https://github.com/python/cpython/issues/72680
At first I wanted to rely only on magic numbers, but t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5639 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5639/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5639/comments | https://api.github.com/repos/huggingface/datasets/issues/5639/events | https://github.com/huggingface/datasets/issues/5639 | 1,625,737,098 | I_kwDODunzps5g5seK | 5,639 | Parquet file wrongly recognized as zip prevents loading a dataset | {
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When trying to `load_dataset_builder` for `HuggingFaceGECLM/StackExchange_Mar2023`, extraction fails, because parquet file [devops-00000-of-00001-22fe902fd8702892.parquet](https://huggingface.co/datasets/HuggingFaceGECLM/StackExchange_Mar2023/resolve/1f8c9a2ab6f7d0f9ae904b8b922e4384592ae1a5/data... | {
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https://api.github.com/repos/huggingface/datasets/issues/5638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5638/comments | https://api.github.com/repos/huggingface/datasets/issues/5638/events | https://github.com/huggingface/datasets/issues/5638 | 1,625,564,471 | I_kwDODunzps5g5CU3 | 5,638 | xPath to implement all operations for Path | {
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] | closed | false | null | [] | null | 5 | 2023-03-15T13:47:11 | 2023-03-17T13:21:12 | 2023-03-17T13:21:12 | CONTRIBUTOR | null | ### Feature request
Current xPath implementation is a great extension of Path in order to work with remote objects. However some methods such as `mkdir` are not implemented correctly. It should instead rely on `fsspec` methods, instead of defaulting do `Path` methods which only work locally.
### Motivation
I'm using... | {
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https://api.github.com/repos/huggingface/datasets/issues/5637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5637/comments | https://api.github.com/repos/huggingface/datasets/issues/5637/events | https://github.com/huggingface/datasets/issues/5637 | 1,625,295,691 | I_kwDODunzps5g4AtL | 5,637 | IterableDataset with_format does not support 'device' keyword for jax | {
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As seen here: https://huggingface.co/docs/datasets/use_with_jax dataset.with_format() supports the keyword 'device', to put data on a specific device when loaded as jax. However, when called on an IterableDataset, I got the error `TypeError: with_format() got an unexpected keyword argument 'devi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5636/comments | https://api.github.com/repos/huggingface/datasets/issues/5636/events | https://github.com/huggingface/datasets/pull/5636 | 1,623,721,577 | PR_kwDODunzps5MAunR | 5,636 | Fix CI: ignore C901 ("some_func" is to complex) in `ruff` | {
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https://api.github.com/repos/huggingface/datasets/issues/5635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5635/comments | https://api.github.com/repos/huggingface/datasets/issues/5635/events | https://github.com/huggingface/datasets/pull/5635 | 1,623,682,558 | PR_kwDODunzps5MAmLU | 5,635 | Pass custom metadata filename to Image/Audio folders | {
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Now it requires to pass data via `data_files` parameters and include a required metadata file there and pass its filename as `metadata_filename` parameter.
For example, with the structure like:
```
data
images_dir/
im1.jpg
im2.jpg
...
metadata_dir/
meta_file... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5634/comments | https://api.github.com/repos/huggingface/datasets/issues/5634/events | https://github.com/huggingface/datasets/issues/5634 | 1,622,424,174 | I_kwDODunzps5gtDpu | 5,634 | Not all progress bars are showing up when they should for downloading dataset | {
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During downloading the rotten tomatoes dataset, not all progress bars are displayed properly. This might be related to [this ticket](https://github.com/huggingface/datasets/issues/5117) as it raised the same concern but its not clear if the fix solves this issue too.
ipywidgets
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https://api.github.com/repos/huggingface/datasets/issues/5633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5633/comments | https://api.github.com/repos/huggingface/datasets/issues/5633/events | https://github.com/huggingface/datasets/issues/5633 | 1,621,469,970 | I_kwDODunzps5gpasS | 5,633 | Cannot import datasets | {
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Hi,
I cannot even import the library :( I installed it by running:
```
$ conda install datasets
```
Then I realized I should maybe use the huggingface channel, because I encountered the error below, so I ran:
```
$ conda remove datasets
$ conda install -c huggingface datasets
```
Pl... | {
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https://api.github.com/repos/huggingface/datasets/issues/5632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5632/comments | https://api.github.com/repos/huggingface/datasets/issues/5632/events | https://github.com/huggingface/datasets/issues/5632 | 1,621,177,391 | I_kwDODunzps5goTQv | 5,632 | Dataset cannot convert too large dictionnary | {
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Hello everyone!
I tried to build a new dataset with the command "dict_valid = datasets.Dataset.from_dict({'input_values': values_array})".
However, I have a very large dataset (~400Go) and it seems that dataset cannot handle this.
Indeed, I can create the dataset until a certain size of m... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5631/comments | https://api.github.com/repos/huggingface/datasets/issues/5631/events | https://github.com/huggingface/datasets/issues/5631 | 1,620,442,854 | I_kwDODunzps5glf7m | 5,631 | Custom split names | {
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Hi,
I participated in multiple NLP tasks where there are more than just train, test, validation splits, there could be multiple validation sets or test sets. But it seems currently only those mentioned three splits supported. It would be nice to have the support for more splits on the hub. (curren... | {
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https://api.github.com/repos/huggingface/datasets/issues/5630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5630/comments | https://api.github.com/repos/huggingface/datasets/issues/5630/events | https://github.com/huggingface/datasets/pull/5630 | 1,620,327,510 | PR_kwDODunzps5L1ahF | 5,630 | adds early exit if url is `PathLike` | {
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Should fix errors thrown when attempting to load `json` dataset using `pathlib.Path` in `data_files` argument. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5629/comments | https://api.github.com/repos/huggingface/datasets/issues/5629/events | https://github.com/huggingface/datasets/issues/5629 | 1,619,921,247 | I_kwDODunzps5gjglf | 5,629 | load_dataset gives "403" error when using Financial phrasebank | {
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ConnectionError: Couldn't reach https://www.researchgate.net/profile/Pekka_Malo/publication/251231364_FinancialPhraseBank-v10/data/0c96051eee4fb1d56e000000/FinancialPhraseBank-v10.zip (error 403)
Has this been seen before? Thanks. The website loads ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5628/comments | https://api.github.com/repos/huggingface/datasets/issues/5628/events | https://github.com/huggingface/datasets/pull/5628 | 1,619,641,810 | PR_kwDODunzps5LzVKi | 5,628 | add kwargs to index search | {
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This is particularly useful for setting the timeout of a query on elasticsearch.
A typical use case would be:
```python
dset.add_elasticsearch_index("filename", es_client=es_client)
scores, examples = dset.get_nearest_examples("filename", "my_name-train_2... | {
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https://api.github.com/repos/huggingface/datasets/issues/5627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5627/comments | https://api.github.com/repos/huggingface/datasets/issues/5627/events | https://github.com/huggingface/datasets/issues/5627 | 1,619,336,609 | I_kwDODunzps5ghR2h | 5,627 | Unable to load AutoTrain-generated dataset from the hub | {
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DatasetGenerationError: An error occurred while generating the dataset -> ValueError: Couldn't cast ... because column names don't match
```
ValueError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: struct<filename: string>
child 0, filename: string
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5626/comments | https://api.github.com/repos/huggingface/datasets/issues/5626/events | https://github.com/huggingface/datasets/pull/5626 | 1,619,252,984 | PR_kwDODunzps5LyBT4 | 5,626 | Support streaming datasets with numpy.load | {
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See: https://huggingface.co/datasets/qgallouedec/gia_dataset/discussions/1 | {
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https://api.github.com/repos/huggingface/datasets/issues/5625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5625/comments | https://api.github.com/repos/huggingface/datasets/issues/5625/events | https://github.com/huggingface/datasets/issues/5625 | 1,618,971,855 | I_kwDODunzps5gf4zP | 5,625 | Allow "jsonl" data type signifier | {
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] | open | false | null | [] | null | 2 | 2023-03-10T13:21:48 | 2023-03-11T10:35:39 | null | CONTRIBUTOR | null | ### Feature request
`load_dataset` currently does not accept `jsonl` as type but only `json`.
### Motivation
I was working with one of the `run_translation` scripts and used my own datasets (`.jsonl`) as train_dataset. But the default code did not work because
```
FileNotFoundError: Couldn't find a dataset scri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5624/comments | https://api.github.com/repos/huggingface/datasets/issues/5624/events | https://github.com/huggingface/datasets/issues/5624 | 1,617,400,192 | I_kwDODunzps5gZ5GA | 5,624 | glue datasets returning -1 for test split | {
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Downloading any dataset from GLUE has -1 as class labels for test split. Train and validation have regular 0/1 class labels. This is also present in the dataset card online.
### Steps to reproduce the bug
```
dataset = load_dataset("glue", "sst2")
for d in dataset:
# prints out -1
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5623/comments | https://api.github.com/repos/huggingface/datasets/issues/5623/events | https://github.com/huggingface/datasets/pull/5623 | 1,616,712,665 | PR_kwDODunzps5Lpb4q | 5,623 | Remove set_access_token usage + fail tests if FutureWarning | {
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This PR removes it from the tests (it was not used in `datasets` source code itself). FYI, it was not needed since `set_access_token` was just setting git credentials and `datasets` doesn't seem to use git anywhere.
In the future, us... | {
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https://api.github.com/repos/huggingface/datasets/issues/5622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5622/comments | https://api.github.com/repos/huggingface/datasets/issues/5622/events | https://github.com/huggingface/datasets/pull/5622 | 1,615,190,942 | PR_kwDODunzps5LkSj8 | 5,622 | Update README template to better template | {
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https://api.github.com/repos/huggingface/datasets/issues/5621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5621/comments | https://api.github.com/repos/huggingface/datasets/issues/5621/events | https://github.com/huggingface/datasets/pull/5621 | 1,615,029,615 | PR_kwDODunzps5LjwD8 | 5,621 | Adding Oracle Cloud to docs | {
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https://api.github.com/repos/huggingface/datasets/issues/5620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5620/comments | https://api.github.com/repos/huggingface/datasets/issues/5620/events | https://github.com/huggingface/datasets/pull/5620 | 1,613,460,520 | PR_kwDODunzps5LefAf | 5,620 | Bump pyarrow to 8.0.0 | {
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```python
=========================== short test summary info ============================
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_to_parquet_in_memory... | {
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https://api.github.com/repos/huggingface/datasets/issues/5619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5619/comments | https://api.github.com/repos/huggingface/datasets/issues/5619/events | https://github.com/huggingface/datasets/pull/5619 | 1,613,439,709 | PR_kwDODunzps5LeaYP | 5,619 | unpin fsspec | {
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https://api.github.com/repos/huggingface/datasets/issues/5618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5618/comments | https://api.github.com/repos/huggingface/datasets/issues/5618/events | https://github.com/huggingface/datasets/issues/5618 | 1,612,977,934 | I_kwDODunzps5gJBcO | 5,618 | Unpin fsspec < 2023.3.0 once issue fixed | {
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See:
- #5614 | {
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https://api.github.com/repos/huggingface/datasets/issues/5617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5617/comments | https://api.github.com/repos/huggingface/datasets/issues/5617/events | https://github.com/huggingface/datasets/pull/5617 | 1,612,947,422 | PR_kwDODunzps5LcvI- | 5,617 | Fix CI by temporarily pinning fsspec < 2023.3.0 | {
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Fix #5616.
Until root cause is fixed, see:
- #5614 | {
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```
FAILED tests/test_filesystem.py::test_compression_filesystems[Bz2FileSystem] - AssertionError: assert [{'created': ...: False, ...}] == ['file.txt']
At index 0 diff: {'name': 'file.txt', 'size': 70, 'type': 'file', 'created': 1678175677... | {
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`IterableDataset.add_column` occurs an exception when passing another `IterableDataset` as a parameter.
The method seems to accept only eager evaluated values.
https://github.com/huggingface/datasets/blob/35b789e8f6826b6b5a6b48fcc2416c890a1f326a/src/datasets/iterable_dataset.py#L1388-L1391
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https://api.github.com/repos/huggingface/datasets/issues/5614 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5614/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5614/comments | https://api.github.com/repos/huggingface/datasets/issues/5614/events | https://github.com/huggingface/datasets/pull/5614 | 1,611,896,357 | PR_kwDODunzps5LZOTd | 5,614 | Fix archive fs test | {
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https://api.github.com/repos/huggingface/datasets/issues/5613 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5613/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5613/comments | https://api.github.com/repos/huggingface/datasets/issues/5613/events | https://github.com/huggingface/datasets/issues/5613 | 1,611,875,473 | I_kwDODunzps5gE0SR | 5,613 | Version mismatch with multiprocess and dill on Python 3.10 | {
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Grabbing the latest version of `datasets` and `apache-beam` with `poetry` using Python 3.10 gives a crash at runtime. The crash is
```
File "/Users/adpauls/sc/git/DSI-transformers/data/NQ/create_NQ_train_vali.py", line 1, in <module>
import datasets
File "/Users/adpauls/Library/Caches/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5612/comments | https://api.github.com/repos/huggingface/datasets/issues/5612/events | https://github.com/huggingface/datasets/issues/5612 | 1,611,262,510 | I_kwDODunzps5gCeou | 5,612 | Arrow map type in parquet files unsupported | {
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When I try to load parquet files that were processed with Spark, I get the following issue:
`ValueError: Arrow type map<string, string ('warc_headers')> does not have a datasets dtype equivalent.`
Strangely, loading the dataset with `streaming=True` solves the issue.
### Steps to reproduce ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5611/comments | https://api.github.com/repos/huggingface/datasets/issues/5611/events | https://github.com/huggingface/datasets/pull/5611 | 1,611,197,906 | PR_kwDODunzps5LW2Lx | 5,611 | add Dataset.to_list | {
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This PR is for adding the `Dataset.to_list` method.
Thank you in advance.
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https://api.github.com/repos/huggingface/datasets/issues/5610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5610/comments | https://api.github.com/repos/huggingface/datasets/issues/5610/events | https://github.com/huggingface/datasets/issues/5610 | 1,610,698,006 | I_kwDODunzps5gAU0W | 5,610 | use datasets streaming mode in trainer ddp mode cause memory leak | {
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use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data import Dataset, DataLoader, random_split, RandomSampler, Sequenti... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5609/comments | https://api.github.com/repos/huggingface/datasets/issues/5609/events | https://github.com/huggingface/datasets/issues/5609 | 1,610,062,862 | I_kwDODunzps5f95wO | 5,609 | `load_from_disk` vs `load_dataset` performance. | {
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I have downloaded `openwebtext` (~12GB) and filtered out a small amount of junk (it's still huge). Now, I would like to use this filtered version for future work. It seems I have two choices:
1. Use `load_dataset` each time, relying on the cache mechanism, and re-run my filtering.
2. `save_to_di... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5608/comments | https://api.github.com/repos/huggingface/datasets/issues/5608/events | https://github.com/huggingface/datasets/issues/5608 | 1,609,996,563 | I_kwDODunzps5f9pkT | 5,608 | audiofolder only creates dataset of 13 rows (files) when the data folder it's reading from has 20,000 mp3 files. | {
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x = load_dataset("audiofolder", data_dir="x")
When running this, x is a dataset of 13 rows (files) when it should be 20,000 rows (files) as the data_dir "x" has 20,000 mp3 files. Does anyone know what could possibly cause this (naming convention of mp3 files, etc.)
### Steps to reproduce the b... | {
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https://api.github.com/repos/huggingface/datasets/issues/5607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5607/comments | https://api.github.com/repos/huggingface/datasets/issues/5607/events | https://github.com/huggingface/datasets/pull/5607 | 1,609,166,035 | PR_kwDODunzps5LQPbG | 5,607 | Fix outdated `verification_mode` values | {
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Regarding the implementation, we can re-use `Dataset.to_dict`'s code and replace the `to_pydict` calls with `to_pylist`. | {
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https://api.github.com/repos/huggingface/datasets/issues/5605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5605/comments | https://api.github.com/repos/huggingface/datasets/issues/5605/events | https://github.com/huggingface/datasets/pull/5605 | 1,608,865,460 | PR_kwDODunzps5LPPf5 | 5,605 | Update README logo | {
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https://api.github.com/repos/huggingface/datasets/issues/5604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5604/comments | https://api.github.com/repos/huggingface/datasets/issues/5604/events | https://github.com/huggingface/datasets/issues/5604 | 1,608,304,775 | I_kwDODunzps5f3MiH | 5,604 | Problems with downloading The Pile | {
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The downloads in the screenshot seem to be interrupted after some time and the last download throws a "Read timed out" error.
Here are the downloaded files:
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https://api.github.com/repos/huggingface/datasets/issues/5603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5603/comments | https://api.github.com/repos/huggingface/datasets/issues/5603/events | https://github.com/huggingface/datasets/pull/5603 | 1,607,143,509 | PR_kwDODunzps5LJZzG | 5,603 | Don't compute checksums if not necessary in `datasets-cli test` | {
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https://api.github.com/repos/huggingface/datasets/issues/5602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5602/comments | https://api.github.com/repos/huggingface/datasets/issues/5602/events | https://github.com/huggingface/datasets/pull/5602 | 1,607,054,110 | PR_kwDODunzps5LJGfa | 5,602 | Return dict structure if columns are lists - to_tf_dataset | {
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If the passed in `columns` or `label_cols` to `to_tf_dataset` are a list, they are returned as a dictionary, respectively. If they are a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5601 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5601/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5601/comments | https://api.github.com/repos/huggingface/datasets/issues/5601/events | https://github.com/huggingface/datasets/issues/5601 | 1,606,685,976 | I_kwDODunzps5fxBUY | 5,601 | Authorization error | {
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Get `Authorization error` when try to push data into hugginface datasets hub.
### Steps to reproduce the bug
I did all steps in the [tutorial](https://huggingface.co/docs/datasets/share),
1. `huggingface-cli login` with WRITE token
2. `git lfs install`
3. `git clone https://huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/5600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5600/comments | https://api.github.com/repos/huggingface/datasets/issues/5600/events | https://github.com/huggingface/datasets/issues/5600 | 1,606,585,596 | I_kwDODunzps5fwoz8 | 5,600 | Dataloader getitem not working for DreamboothDatasets | {
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Dataloader getitem is not working as before (see example of [DreamboothDatasets](https://github.com/huggingface/peft/blob/main/examples/lora_dreambooth/train_dreambooth.py#L451C14-L529))
moving Datasets to 2.8.0 solved the issue.
### Steps to reproduce the bug
1- using DreamBoothDataset ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5598/comments | https://api.github.com/repos/huggingface/datasets/issues/5598/events | https://github.com/huggingface/datasets/pull/5598 | 1,605,018,478 | PR_kwDODunzps5LCMiX | 5,598 | Fix push_to_hub with no dataset_infos | {
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cc @clefourrier | {
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https://api.github.com/repos/huggingface/datasets/issues/5597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5597/comments | https://api.github.com/repos/huggingface/datasets/issues/5597/events | https://github.com/huggingface/datasets/issues/5597 | 1,604,928,721 | I_kwDODunzps5fqUTR | 5,597 | in-place dataset update | {
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] | closed | false | null | [] | null | 3 | 2023-03-01T12:58:18 | 2023-03-02T13:30:41 | 2023-03-02T03:47:00 | NONE | null | ### Motivation
For the circumstance that I creat an empty `Dataset` and keep appending new rows into it, I found that it leads to creating a new dataset at each call. It looks quite memory-consuming. I just wonder if there is any more efficient way to do this.
```python
from datasets import Dataset
ds = Datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/5596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5596/comments | https://api.github.com/repos/huggingface/datasets/issues/5596/events | https://github.com/huggingface/datasets/issues/5596 | 1,604,919,993 | I_kwDODunzps5fqSK5 | 5,596 | [TypeError: Couldn't cast array of type] Can only load a subset of the dataset | {
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I'm trying to load this [dataset](https://huggingface.co/datasets/bigcode-data/the-stack-gh-issues) which consists of jsonl files and I get the following error:
```
casted_values = _c(array.values, feature[0])
File "/opt/conda/lib/python3.7/site-packages/datasets/table.py", line 1839, in wr... | {
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https://api.github.com/repos/huggingface/datasets/issues/5595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5595/comments | https://api.github.com/repos/huggingface/datasets/issues/5595/events | https://github.com/huggingface/datasets/pull/5595 | 1,604,070,629 | PR_kwDODunzps5K--V9 | 5,595 | Unpins sqlAlchemy | {
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https://api.github.com/repos/huggingface/datasets/issues/5594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5594/comments | https://api.github.com/repos/huggingface/datasets/issues/5594/events | https://github.com/huggingface/datasets/issues/5594 | 1,603,980,995 | I_kwDODunzps5fms7D | 5,594 | Error while downloading the xtreme udpos dataset | {
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Hi,
I am facing an error while downloading the xtreme udpos dataset using load_dataset. I have datasets 2.10.1 installed
```Downloading and preparing dataset xtreme/udpos.Arabic to /compute/tir-1-18/skhanuja/multilingual_ft/cache/data/xtreme/udpos.Arabic/1.0.0/29f5d57a48779f37ccb75cb8708d1... | {
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https://api.github.com/repos/huggingface/datasets/issues/5592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5592/comments | https://api.github.com/repos/huggingface/datasets/issues/5592/events | https://github.com/huggingface/datasets/pull/5592 | 1,603,619,124 | PR_kwDODunzps5K9dWr | 5,592 | Fix docstring example | {
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https://api.github.com/repos/huggingface/datasets/issues/5589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5589/comments | https://api.github.com/repos/huggingface/datasets/issues/5589/events | https://github.com/huggingface/datasets/pull/5589 | 1,603,535,704 | PR_kwDODunzps5K9K1i | 5,589 | Revert "pass the dataset features to the IterableDataset.from_generator" | {
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It hurts iterable dataset performance a lot (e.g. x4 slower because it encodes+decodes images unnecessarily). I think we need to fix this before re-adding it
cc @mariosasko @Hubert-Bonisseur | {
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https://api.github.com/repos/huggingface/datasets/issues/5588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5588/comments | https://api.github.com/repos/huggingface/datasets/issues/5588/events | https://github.com/huggingface/datasets/pull/5588 | 1,603,304,766 | PR_kwDODunzps5K8YYz | 5,588 | Flatten dataset on the fly in `save_to_disk` | {
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(this is one of the sub-tasks in https://github.com/huggingface/datasets/issues/5507) | {
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https://api.github.com/repos/huggingface/datasets/issues/5587 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5587/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5587/comments | https://api.github.com/repos/huggingface/datasets/issues/5587/events | https://github.com/huggingface/datasets/pull/5587 | 1,603,139,420 | PR_kwDODunzps5K70pp | 5,587 | Fix `sort` with indices mapping | {
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Fix #5586 | {
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https://api.github.com/repos/huggingface/datasets/issues/5586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5586/comments | https://api.github.com/repos/huggingface/datasets/issues/5586/events | https://github.com/huggingface/datasets/issues/5586 | 1,602,961,544 | I_kwDODunzps5fi0CI | 5,586 | .sort() is broken when used after .filter(), only in 2.10.0 | {
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] | closed | false | null | [] | null | 1 | 2023-02-28T12:18:09 | 2023-02-28T18:17:26 | 2023-02-28T17:21:59 | NONE | null | ### Describe the bug
Hi, thank you for your support!
It seems like the addition of multiple key sort (#5502) in 2.10.0 broke the `.sort()` method.
After filtering a dataset with `.filter()`, the `.sort()` seems to refer to the query_table index of the previous unfiltered dataset, resulting in an IndexError.
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I would like to share cache between two machines (a Windows host machine and a WSL instance).
I run most my code in WSL. I have just run out of space in the virtual drive. Rather than expand the drive size, I plan to move to cache to the host Windows machine, thereby sharing the downloads.
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https://api.github.com/repos/huggingface/datasets/issues/5584 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5584/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5584/comments | https://api.github.com/repos/huggingface/datasets/issues/5584/events | https://github.com/huggingface/datasets/issues/5584 | 1,601,821,808 | I_kwDODunzps5fedxw | 5,584 | Unable to load coyo700M dataset | {
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Seeing this error when downloading https://huggingface.co/datasets/kakaobrain/coyo-700m:
```ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.```
Full stack trace
```Downloading and preparing dataset parquet/kakaobrain--coy... | {
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https://api.github.com/repos/huggingface/datasets/issues/5583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5583/comments | https://api.github.com/repos/huggingface/datasets/issues/5583/events | https://github.com/huggingface/datasets/pull/5583 | 1,601,583,625 | PR_kwDODunzps5K2mIz | 5,583 | Do no write index by default when exporting a dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/5582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5582/comments | https://api.github.com/repos/huggingface/datasets/issues/5582/events | https://github.com/huggingface/datasets/pull/5582 | 1,600,932,092 | PR_kwDODunzps5K0ZcN | 5,582 | Add column_names to IterableDataset | {
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* Add column_names property to IterableDataset
* Add multiple tests for this new property | {
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https://api.github.com/repos/huggingface/datasets/issues/5581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5581/comments | https://api.github.com/repos/huggingface/datasets/issues/5581/events | https://github.com/huggingface/datasets/issues/5581 | 1,600,675,489 | I_kwDODunzps5faF6h | 5,581 | [DOC] Mistaken docs on set_format | {
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] | closed | false | null | [] | null | 1 | 2023-02-27T08:03:09 | 2023-02-28T19:19:17 | 2023-02-28T19:19:17 | CONTRIBUTOR | null | ### Describe the bug
https://huggingface.co/docs/datasets/v2.10.0/en/package_reference/main_classes#datasets.Dataset.set_format
<img width="700" alt="image" src="https://user-images.githubusercontent.com/36224762/221506973-ae2e3991-60a7-4d4e-99f8-965c6eb61e59.png">
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https://api.github.com/repos/huggingface/datasets/issues/5580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5580/comments | https://api.github.com/repos/huggingface/datasets/issues/5580/events | https://github.com/huggingface/datasets/pull/5580 | 1,600,431,792 | PR_kwDODunzps5Kys1c | 5,580 | Support cloud storage in load_dataset via fsspec | {
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This PR uses fsspec to support datasets on cloud storage (tested manually with GCS). ETags are currently unsupported for cloud storage. In general, a much larger refactor could be done to just use fsspec for all schemes (ftp, http/s, s3, gcs) to unify the in... | {
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