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https://api.github.com/repos/huggingface/datasets/issues/5389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5389/comments | https://api.github.com/repos/huggingface/datasets/issues/5389/events | https://github.com/huggingface/datasets/pull/5389 | 1,509,348,626 | PR_kwDODunzps5GHsOo | 5,389 | Fix link in `load_dataset` docstring | {
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https://api.github.com/repos/huggingface/datasets/issues/5388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5388/comments | https://api.github.com/repos/huggingface/datasets/issues/5388/events | https://github.com/huggingface/datasets/issues/5388 | 1,509,042,348 | I_kwDODunzps5Z8iis | 5,388 | Getting Value Error while loading a dataset.. | {
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I am trying to load a dataset using Hugging Face Datasets load_dataset method. I am getting the value error as show below. Can someone help with this? I am using Windows laptop and Google Colab notebook.
```
WARNING:datasets.builder:Using custom data configuration default-a1d9e8eaedd958cd
---... | {
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https://api.github.com/repos/huggingface/datasets/issues/5387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5387/comments | https://api.github.com/repos/huggingface/datasets/issues/5387/events | https://github.com/huggingface/datasets/issues/5387 | 1,508,740,177 | I_kwDODunzps5Z7YxR | 5,387 | Missing documentation page : improve-performance | {
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Trying to access https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/cache#improve-performance, the page is missing.
The link is in here : https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/loading_methods#datasets.load_dataset.keep_in_memory
### Steps to reproduce t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5386/comments | https://api.github.com/repos/huggingface/datasets/issues/5386/events | https://github.com/huggingface/datasets/issues/5386 | 1,508,592,918 | I_kwDODunzps5Z600W | 5,386 | `max_shard_size` in `datasets.push_to_hub()` breaks with large files | {
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`max_shard_size` parameter for `datasets.push_to_hub()` works unreliably with large files, generating shard files that are way past the specified limit.
In my private dataset, which contains unprocessed images of all sizes (up to `~100MB` per file), I've encountered cases where `max_shard_siz... | {
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https://api.github.com/repos/huggingface/datasets/issues/5385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5385/comments | https://api.github.com/repos/huggingface/datasets/issues/5385/events | https://github.com/huggingface/datasets/issues/5385 | 1,508,535,532 | I_kwDODunzps5Z6mzs | 5,385 | Is `fs=` deprecated in `load_from_disk()` as well? | {
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The `fs=` argument was deprecated from `Dataset.save_to_disk` and `Dataset.load_from_disk` in favor of automagically figuring it out via fsspec:
https://github.com/huggingface/datasets/blob/9a7272cd4222383a5b932b0083a4cc173fda44e8/src/datasets/arrow_dataset.py#L1339-L1340
Is there a reason the... | {
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https://api.github.com/repos/huggingface/datasets/issues/5384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5384/comments | https://api.github.com/repos/huggingface/datasets/issues/5384/events | https://github.com/huggingface/datasets/pull/5384 | 1,508,152,598 | PR_kwDODunzps5GDmR6 | 5,384 | Handle 0-dim tensors in `cast_to_python_objects` | {
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https://api.github.com/repos/huggingface/datasets/issues/5383 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5383/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5383/comments | https://api.github.com/repos/huggingface/datasets/issues/5383/events | https://github.com/huggingface/datasets/issues/5383 | 1,507,293,968 | I_kwDODunzps5Z13sQ | 5,383 | IterableDataset missing column_names, differs from Dataset interface | {
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The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
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https://api.github.com/repos/huggingface/datasets/issues/5382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5382/comments | https://api.github.com/repos/huggingface/datasets/issues/5382/events | https://github.com/huggingface/datasets/pull/5382 | 1,504,788,691 | PR_kwDODunzps5F4Q0V | 5,382 | Raise from disconnect error in xopen | {
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https://api.github.com/repos/huggingface/datasets/issues/5381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5381/comments | https://api.github.com/repos/huggingface/datasets/issues/5381/events | https://github.com/huggingface/datasets/issues/5381 | 1,504,498,387 | I_kwDODunzps5ZrNLT | 5,381 | Wrong URL for the_pile dataset | {
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When trying to load `the_pile` dataset from the library, I get a `FileNotFound` error.
### Steps to reproduce the bug
Steps to reproduce:
Run:
```
from datasets import load_dataset
dataset = load_dataset("the_pile")
```
I get the output:
"name": "FileNotFoundError",
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... | open | false | [] | null | 11 | 2022-12-20T11:25:23 | 2025-11-10T20:05:37 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Add extra information to the `dataset_infos.json` file to include the number of samples/examples in each shard, for example in a new field `num_examples` alongside `num_bytes`. The `.skip()` function could use this information to ignore the download of a shard when in streaming mode, which AFAICT... | null | {
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When run
"datasets.load_dataset("the_pile","enron_emails")" failure
### Steps to reproduce the bug
Run below code in python cli:
>>> import datasets
>>> datasets.load_dataset(... | {
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`streaming_download_manager` seems to disconnect if too many runs access the same underlying dataset 🧐
The code works fine for me if I have ~100 runs in parallel, but disconnects once scaling to 200.
Possibly related:
- https://github.com/huggingface/datasets/pull/3100
- https://github.com/... | {
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"merged_at": "2022-12-18T21:40... | Was hoping to find a way to speed up the skipping as I'm running into bottlenecks skipping 100M examples on C4 (it takes 12 hours to skip), but didn't find anything better than this small change :(
Maybe there's a way to directly skip whole shards to speed it up? 🧐 | {
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ImageNet-C
### Paper
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
### Data
https://github.com/hendrycks/robustness
### Motivation
It's a known fact that vision models are brittle when they meet with slightly corrupted and perturbed data. This is also corre... | null | {
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```python
import os
from datasets.distributed import split_dataset_by_node
ds = split_dataset_by_node(ds, rank=int(os.environ["RANK"]), world_size=int(os.environ["WORLD_SIZE"]))
```
This wor... | {
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Basically this code should return a dataset with only one column:
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`PIL.Image.fromarray` [does support mode `F`](https://pillow.readthedocs.io/e... | {
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Run model "GPT-J" with dataset "the_pile" fail.
The fail out is as below:
Looks like which is due to "http://eaidata.bmk.sh/data/enron_emails.jsonl.zst" unreachable .
### Steps to ... | {
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I am trying to do concatenate audios in a dataset e.g. `google/fleurs`.
```python
print(dataset)
# Dataset({
# features: ['path', 'audio'],
# num_rows: 24
# })
def mapper_function(batch):
# to merge every 3 audio
# np.concatnate(audios[i: i+3]) for i in range(i, len(batc... | {
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Introduces no significant logic changes. | {
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Hi, please consider using `Sequence` type annotation instead of `List` in function arguments such as in [`Dataset.from_parquet()`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L1088). It leads to type checking errors, see below.
**How to reproduce**
```py
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Hi there!
It would be super cool if `Audio()`, and potentially other features, could read files from a remote file system.
### Motivation
Large amounts of data is often stored in buckets. `load_from_disk` is able to retrieve data from cloud storage but to my knowledge actually copies the datas... | {
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I try to define a custom configuration with a input_size attribute following the instructions by "Specifying several dataset configurations" in https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html
But when I load the dataset, I got an error "__init__() got an unexpected keyword argument... | null | {
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I'm not sure this is a bug or if it's just missing in the documentation, or i'm not doing something correctly, but I'm subclassing `DatasetBuilder` and getting the following error because on the `DatasetBuilder` class the `_prepare_split` method is abstract (as are the others we are required to im... | {
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For a project on a cluster we are several users to share the same cache for the datasets library. And we have a problem with the permissions on the data downloaded in the cache.
Indeed, it seems that the data is downloaded by giving read and write permissions only to the user launching the com... | null | {
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Since the last survey, a lot has happened: the [diffusers](https://github.com/huggingface/diffusers), [evaluate](https://github.com/huggingface/evaluate) and [skops](https://github.com/skops-dev/skops) libraries were born. `timm` joined the Hugging Face... | {
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When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5342 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5342/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5342/comments | https://api.github.com/repos/huggingface/datasets/issues/5342/events | https://github.com/huggingface/datasets/issues/5342 | 1,485,244,178 | I_kwDODunzps5YhwcS | 5,342 | Emotion dataset cannot be downloaded | {
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The emotion dataset gives a FileNotFoundError. The full error is: `FileNotFoundError: Couldn't find file at https://www.dropbox.com/s/1pzkadrvffbqw6o/train.txt?dl=1`.
It was working yesterday (December 7, 2022), but stopped working today (December 8, 2022).
### Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5341 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5341/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5341/comments | https://api.github.com/repos/huggingface/datasets/issues/5341/events | https://github.com/huggingface/datasets/pull/5341 | 1,484,376,644 | PR_kwDODunzps5Exohx | 5,341 | Remove tasks.json | {
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https://api.github.com/repos/huggingface/datasets/issues/5340 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5340/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5340/comments | https://api.github.com/repos/huggingface/datasets/issues/5340/events | https://github.com/huggingface/datasets/pull/5340 | 1,483,182,158 | PR_kwDODunzps5EtWo3 | 5,340 | Clean up DatasetInfo and Dataset docstrings | {
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https://api.github.com/repos/huggingface/datasets/issues/5339 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5339/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5339/comments | https://api.github.com/repos/huggingface/datasets/issues/5339/events | https://github.com/huggingface/datasets/pull/5339 | 1,482,817,424 | PR_kwDODunzps5EsC8N | 5,339 | Add Video feature, videofolder, and video-classification task | {
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} | This PR does the following:
- Adds `Video` feature (Resolves #5225 )
- Adds `video-classification` task
- Adds `videofolder` packaged module for easy loading of local video classification datasets
TODO:
- [ ] add tests
- [ ] add docs | {
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https://api.github.com/repos/huggingface/datasets/issues/5338 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5338/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5338/comments | https://api.github.com/repos/huggingface/datasets/issues/5338/events | https://github.com/huggingface/datasets/issues/5338 | 1,482,646,151 | I_kwDODunzps5YX2KH | 5,338 | `map()` stops every 1000 steps | {
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I am passing the following `prepare_dataset` function to `Dataset.map` (code is inspired from [here](https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/run_speech_recognition_seq2seq_streaming.py#L454))
```python3
def prepare_dataset(batch):
# load and res... | {
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In particular it would be awesome to be able to load one using `load_dataset` in streaming mode (either from a local directory, or from a dataset o... | {
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~Indeed we're using the typing for optional values as `Union[type, None]` as it's similar to how Python 3.10 handles optional values as `type | None`, instead of using `Optional[type]`.~
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* https://github.com/huggingface/datasets/issues/5255#issuecomment-1339107195
Cc: @osanseviero | {
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I'll start working on cleaning up the rest of the docstrings and removing the old Sphinx syntax (let me know if you prefer one big PR with... | {
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https://api.github.com/repos/huggingface/datasets/issues/5332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5332/comments | https://api.github.com/repos/huggingface/datasets/issues/5332/events | https://github.com/huggingface/datasets/issues/5332 | 1,476,513,072 | I_kwDODunzps5YAc0w | 5,332 | Passing numpy array to ClassLabel names causes ValueError | {
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If a numpy array is passed to the names argument of ClassLabel, creating a dataset with those features causes an error.
### Steps to reproduce the bug
https://colab.research.google.com/drive/1cV_es1PWZiEuus17n-2C-w0KEoEZ68IX
TLDR:
If I define my classes as:
```
my_classes = np.array(['on... | {
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Config parameters for packaged builders are parsed from `“builder_config”` field in README.md file (separate firs-level field, not part of “dataset_info”), example:
```yaml
---
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Fix #5326. | {
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- Commit: 703b84311f4ead83c7f79639f2dfa739295f0be6
the docs for main branch are no longer built.
The change introduced only triggers the docs building for releases. | {
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Dataset.map(...) allows batch_size to be None. It would be nice if IterableDataset did too.
### Motivation
Although it may seem a bit of a spurious request given that `IterableDataset` is meant for larger than memory datasets, but there are a couple of reasons why this might be nice.
One is th... | {
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... | open | false | [] | null | 5 | 2022-12-01T15:34:53 | 2026-09-01T12:09:58 | null | null | CONTRIBUTOR | [] | null | null | null | null | While I was working on https://github.com/huggingface/datasets/pull/5313 I've noticed that we have a mess in how we annotate types and format args and return values in the code. And some of it is displayed in the [Reference section](https://huggingface.co/docs/datasets/package_reference/builder_classes) of the document... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5323/comments | https://api.github.com/repos/huggingface/datasets/issues/5323/events | https://github.com/huggingface/datasets/issues/5323 | 1,471,518,803 | I_kwDODunzps5XtZhT | 5,323 | Duplicated Keys in Taskmaster-2 Dataset | {
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Loading certain splits () of the taskmaster-2 dataset fails because of a DuplicatedKeysError. This occurs for the following domains: `'hotels', 'movies', 'music', 'sports'`. The domains `'flights', 'food-ordering', 'restaurant-search'` load fine.
Output:
### Steps to reproduce the bug
```
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5322/comments | https://api.github.com/repos/huggingface/datasets/issues/5322/events | https://github.com/huggingface/datasets/pull/5322 | 1,471,502,162 | PR_kwDODunzps5EEeQP | 5,322 | Raise error for `.tar` archives in the same way as for `.tar.gz` and `.tgz` in `_get_extraction_protocol` | {
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That means tha... | {
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I fixed it and added an integration test (runs in 10sec) | {
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https://api.github.com/repos/huggingface/datasets/issues/5320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5320/comments | https://api.github.com/repos/huggingface/datasets/issues/5320/events | https://github.com/huggingface/datasets/pull/5320 | 1,471,360,910 | PR_kwDODunzps5ED_UQ | 5,320 | [Extract] Place the lock file next to the destination directory | {
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Therefore I moved the lock location to be next to the destination directory, which is required to have write permissions | {
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https://api.github.com/repos/huggingface/datasets/issues/5319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5319/comments | https://api.github.com/repos/huggingface/datasets/issues/5319/events | https://github.com/huggingface/datasets/pull/5319 | 1,470,945,515 | PR_kwDODunzps5ECkfc | 5,319 | Fix Text sample_by paragraph | {
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https://api.github.com/repos/huggingface/datasets/issues/5318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5318/comments | https://api.github.com/repos/huggingface/datasets/issues/5318/events | https://github.com/huggingface/datasets/pull/5318 | 1,470,749,750 | PR_kwDODunzps5EB6RM | 5,318 | Origin/fix missing features error | {
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https://api.github.com/repos/huggingface/datasets/issues/5317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5317/comments | https://api.github.com/repos/huggingface/datasets/issues/5317/events | https://github.com/huggingface/datasets/issues/5317 | 1,470,390,164 | I_kwDODunzps5XpF-U | 5,317 | `ImageFolder` performs poorly with large datasets | {
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While testing image dataset creation, I'm seeing significant performance bottlenecks with imagefolders when scanning a directory structure with large number of images.
## Setup
* Nested directories (5 levels deep)
* 3M+ images
* 1 `metadata.jsonl` file
## Performance Degradation Point... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5316/comments | https://api.github.com/repos/huggingface/datasets/issues/5316/events | https://github.com/huggingface/datasets/issues/5316 | 1,470,115,681 | I_kwDODunzps5XoC9h | 5,316 | Bug in sample_by="paragraph" | {
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I think [this line](https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/text/text.py#L96) is wrong and should be `batch = f.read(self.config.chunksize)`. Otherwise it will never terminate because even when `f` is finished reading, `batch` will still be truthy from the l... | {
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https://api.github.com/repos/huggingface/datasets/issues/5315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5315/comments | https://api.github.com/repos/huggingface/datasets/issues/5315/events | https://github.com/huggingface/datasets/issues/5315 | 1,470,026,797 | I_kwDODunzps5XntQt | 5,315 | Adding new splits to a dataset script with existing old splits info in metadata's `dataset_info` fails | {
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If you first create a custom dataset with a specific set of splits, generate metadata with `datasets-cli test ... --save_info`, then change your script to include more splits, it fails.
That's what happened in https://huggingface.co/datasets/mrdbourke/food_vision_199_classes/discussions/2#6385f... | null | {
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> import datasets
predictions = [['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]
references = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]
seqeval = datasets.load_metri... | {
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Also changed docstrings for `StreamingDownloadManager`'s `download` and `extract` to reflect the same, as these docstrings are displayed in the docu... | {
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https://api.github.com/repos/huggingface/datasets/issues/5312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5312/comments | https://api.github.com/repos/huggingface/datasets/issues/5312/events | https://github.com/huggingface/datasets/pull/5312 | 1,468,352,562 | PR_kwDODunzps5D5zxI | 5,312 | Add DatasetDict.to_pandas | {
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} | From discussions in https://github.com/huggingface/datasets/issues/5189, for tabular data it doesn't really make sense to have to do
```python
df = load_dataset(...)["train"].to_pandas()
```
because many datasets are not split.
In this PR I added `to_pandas` to `DatasetDict` which returns the DataFrame:
If th... | {
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"merged_at": "2022-12-06T15:42... | ## Description
As suggested by @lhoestq in #3888, we should be adding the param `features` to `IterableDataset.map` so that the features can be preserved (not turned into `None` as that's the default behavior) whenever the user passes those as param, so as to be consistent with `Dataset.map`, as it provides the `fea... | {
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Additionally, some `os.path` methods are fixed for remote URLs on Windows machines.
Now, on Windows machines:
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In [2]: str(xPath("C:\\dir\\file.txt"))
Out[2]: 'C:\\dir\\file.txt'
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https://api.github.com/repos/huggingface/datasets/issues/5306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5306/comments | https://api.github.com/repos/huggingface/datasets/issues/5306/events | https://github.com/huggingface/datasets/issues/5306 | 1,465,968,639 | I_kwDODunzps5XYOf_ | 5,306 | Can't use custom feature description when loading a dataset | {
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I have created a feature dictionary to describe my datasets' column types, to use when loading the dataset, following [the doc](https://huggingface.co/docs/datasets/main/en/about_dataset_features). It crashes at dataset load.
### Steps to reproduce the bug
```python
# Creating features
task_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5305/comments | https://api.github.com/repos/huggingface/datasets/issues/5305/events | https://github.com/huggingface/datasets/issues/5305 | 1,465,627,826 | I_kwDODunzps5XW7Sy | 5,305 | Dataset joelito/mc4_legal does not work with multiple files | {
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"followers_url": "https://api.g... | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
The dataset https://huggingface.co/datasets/joelito/mc4_legal works for languages like bg with a single data file, but not for languages with multiple files like de. It shows zero rows for the de dataset.
joelniklaus@Joels-MacBook-Pro ~/N/P/C/L/p/m/mc4_legal (main) [1]> python test_mc4_legal.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5304 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5304/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5304/comments | https://api.github.com/repos/huggingface/datasets/issues/5304/events | https://github.com/huggingface/datasets/issues/5304 | 1,465,110,367 | I_kwDODunzps5XU89f | 5,304 | timit_asr doesn't load the test split. | {
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When I use the function ```timit = load_dataset('timit_asr', data_dir=data_dir)```, it only loads train split, not test split.
I tried to change the directory and filename to lower case to upper case for the test split, but it does not work at all.
```python
DatasetDict({
train: Datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/5303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5303/comments | https://api.github.com/repos/huggingface/datasets/issues/5303/events | https://github.com/huggingface/datasets/pull/5303 | 1,464,837,251 | PR_kwDODunzps5DuVTa | 5,303 | Skip dataset verifications by default | {
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PS: Maybe we should deprecate... | {
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https://api.github.com/repos/huggingface/datasets/issues/5302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5302/comments | https://api.github.com/repos/huggingface/datasets/issues/5302/events | https://github.com/huggingface/datasets/pull/5302 | 1,464,778,901 | PR_kwDODunzps5DuJJp | 5,302 | Improve `use_auth_token` docstring and deprecate `use_auth_token` in `download_and_prepare` | {
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https://api.github.com/repos/huggingface/datasets/issues/5301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5301/comments | https://api.github.com/repos/huggingface/datasets/issues/5301/events | https://github.com/huggingface/datasets/pull/5301 | 1,464,749,156 | PR_kwDODunzps5DuCzR | 5,301 | Return a split Dataset in load_dataset | {
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} | ...instead of a DatasetDict.
```python
# now supported
ds = load_dataset("squad")
ds[0]
for example in ds:
pass
# still works
ds["train"]
ds["validation"]
# new
ds.splits # Dict[str, Dataset] | None
# soon to be supported (not in this PR)
ds = load_dataset("dataset_with_no_splits")
ds[0]
f... | {
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https://api.github.com/repos/huggingface/datasets/issues/5300 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5300/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5300/comments | https://api.github.com/repos/huggingface/datasets/issues/5300/events | https://github.com/huggingface/datasets/pull/5300 | 1,464,697,136 | PR_kwDODunzps5Dt3uK | 5,300 | Use same `num_proc` for dataset download and generation | {
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https://api.github.com/repos/huggingface/datasets/issues/5299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5299/comments | https://api.github.com/repos/huggingface/datasets/issues/5299/events | https://github.com/huggingface/datasets/pull/5299 | 1,464,695,091 | PR_kwDODunzps5Dt3Sk | 5,299 | Fix xopen for Windows pathnames | {
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Fix #5298. | {
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From its implementation:
```python
def xopen(file: str, mode="r", *args, **kwargs):
file = _as_posix(PurePath(file))
main_hop, *rest_hops = file.split("::")
if is_local_path(main_hop):
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```python
from datasets.download.streaming_download_manager import xjoin
path = xjoin("C:\\Users\\USERNAME", "filename.txt")
```
Join path should be:
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Hi,
`load_dataset()` does not work .zip files located on a read-only directory. Looks like it's because Dataset creates a lock file in the [same directory](https://github.com/huggingface/datasets/blob/df4bdd365f2abb695f113cbf8856a925bc70901b/src/datasets/utils/extract.py) as the .zip file.
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This feature will be useful e.g. for datasets containing text files and annotated files with the same name but different extension. | {
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- #5291
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https://api.github.com/repos/huggingface/datasets/issues/5289 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5289/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5289/comments | https://api.github.com/repos/huggingface/datasets/issues/5289/events | https://github.com/huggingface/datasets/pull/5289 | 1,462,543,139 | PR_kwDODunzps5Dmrk9 | 5,289 | Added support for JXL images. | {
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} | JPEG-XL is the most advanced of the next-generation of image codecs, supporting both lossless and lossy files — with better compression and quality than PNG and JPG respectively. It has reduced the disk sizes and bandwidth required for many of the datasets I use.
Pillow does not yet support JXL, but there's a plugi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5288 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5288/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5288/comments | https://api.github.com/repos/huggingface/datasets/issues/5288/events | https://github.com/huggingface/datasets/issues/5288 | 1,462,134,067 | I_kwDODunzps5XJmUz | 5,288 | Lossy json serialization - deserialization of dataset info | {
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Saving a dataset to disk as json (using `to_json`) and then loading it again (using `load_dataset`) results in features whose labels are not type-cast correctly. In the code snippet below, `features.label` should have a label of type `ClassLabel` but has type `Value` instead.
### Steps to re... | null | {
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