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] | open | false | null | [] | null | 17 | 2022-11-20T15:18:41 | 2024-11-11T03:03:17 | null | NONE | null | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5271/comments | https://api.github.com/repos/huggingface/datasets/issues/5271/events | https://github.com/huggingface/datasets/pull/5271 | 1,456,807,738 | PR_kwDODunzps5DTDX1 | 5,271 | Fix #5269 | {
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$ datasets-cli convert --datasets_directory <TAB>
datasets_directory
benchmarks/ docs/ metrics/ notebooks/ src/ templates/ tests/ utils/
```
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https://api.github.com/repos/huggingface/datasets/issues/5270 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5270/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5270/comments | https://api.github.com/repos/huggingface/datasets/issues/5270/events | https://github.com/huggingface/datasets/issues/5270 | 1,456,508,990 | I_kwDODunzps5W0JA- | 5,270 | When len(_URLS) > 16, download will hang | {
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```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
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] | closed | false | null | [] | null | 2 | 2022-11-19T13:48:59 | 2022-11-21T15:06:15 | 2022-11-21T15:06:14 | NONE | null | ### Feature request
Like <https://github.com/huggingface/huggingface_hub/issues/1197>, datasets-cli maybe need it, too.
### Motivation
See above.
### Your contribution
Maybe. | {
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https://api.github.com/repos/huggingface/datasets/issues/5268 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5268/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5268/comments | https://api.github.com/repos/huggingface/datasets/issues/5268/events | https://github.com/huggingface/datasets/pull/5268 | 1,455,633,978 | PR_kwDODunzps5DPIsp | 5,268 | Sharded save_to_disk + multiprocessing | {
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EDIT: also added `max_shard_size=` to `save_to_disk()`, and also `num_shards=` to `push_to_hub`
I also:
- deprecated the fs parameter in favor of storage_options (for consistency with the rest of the lib) in save_to_disk and load_from_disk
- always embed t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5266 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5266/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5266/comments | https://api.github.com/repos/huggingface/datasets/issues/5266/events | https://github.com/huggingface/datasets/pull/5266 | 1,455,281,310 | PR_kwDODunzps5DN9BT | 5,266 | Specify arguments as keywords in librosa.reshape to avoid future errors | {
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```
FutureWarning: Pass orig_sr=16000, target_sr=48000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
``` | {
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- fast approximate shuffling
- lazy map, filter etc.
Iterating over the resulting iterable dataset should be at least as fast at iterating over the map-style dataset.
Here are some ideas regarding the API:
```python
# 1.
# - consistency wi... | {
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I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
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This can be implemented in `save_to_disk` and can also leverage multiprocessing to speed up the process | {
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https://api.github.com/repos/huggingface/datasets/issues/5262 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5262/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5262/comments | https://api.github.com/repos/huggingface/datasets/issues/5262/events | https://github.com/huggingface/datasets/issues/5262 | 1,455,171,100 | I_kwDODunzps5WvCYc | 5,262 | AttributeError: 'Value' object has no attribute 'names' | {
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I'm trying to build a model for custom token classification
I already followed the token classification course on huggingface
while adapting the code to my work, this message occures :
'Value' object has no attribute 'names'
Here's my code:
`raw_datasets`
generates
DatasetDict({
train: Datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/5261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5261/comments | https://api.github.com/repos/huggingface/datasets/issues/5261/events | https://github.com/huggingface/datasets/issues/5261 | 1,454,647,861 | I_kwDODunzps5WtCo1 | 5,261 | Add PubTables-1M | {
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PubTables-1M
### Paper
https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html
### Data
https://github.com/microsoft/table-transformer
### Motivation
Table Transformer is now available in π€ Transforme... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5260/comments | https://api.github.com/repos/huggingface/datasets/issues/5260/events | https://github.com/huggingface/datasets/issues/5260 | 1,453,921,697 | I_kwDODunzps5WqRWh | 5,260 | consumer-finance-complaints dataset not loading | {
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Error during dataset loading
### Steps to reproduce the bug
```
>>> import datasets
>>> cf_raw = datasets.load_dataset("consumer-finance-complaints")
Downloading builder script: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5259/comments | https://api.github.com/repos/huggingface/datasets/issues/5259/events | https://github.com/huggingface/datasets/issues/5259 | 1,453,555,923 | I_kwDODunzps5Wo4DT | 5,259 | datasets 2.7 introduces sharding error | {
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dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | {
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- https://huggingface.co/datasets/bc2gm_corpus/commit/2384629484401ecf4bb77cd808816719c424e57c
Note that this order is the one appearing in the preview of the... | {
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https://api.github.com/repos/huggingface/datasets/issues/5257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5257/comments | https://api.github.com/repos/huggingface/datasets/issues/5257/events | https://github.com/huggingface/datasets/pull/5257 | 1,452,656,891 | PR_kwDODunzps5DFENm | 5,257 | remove an unused statement | {
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NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | {
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Additional improvements:
* make `Dataset`'s "iter" API cleaner by removing `_iter` and replacing `_iter_batches` with `iter(batch_size)` (also implemented for `IterableDataset`... | {
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As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | {
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- it only make changes to main branch via pull requests
- it is no longer necessary to directly commit/push to main branch
Close #5251.
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See context here:
- d7c942228b8dcf4de64b00a3053dce59b335f618
To do:
- [x] Protect main branch
- Settings > Branches > Branch protec... | {
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Everything is handled on the doc-builder side now π | {
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https://api.github.com/repos/huggingface/datasets/issues/5245 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5245/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5245/comments | https://api.github.com/repos/huggingface/datasets/issues/5245/events | https://github.com/huggingface/datasets/issues/5245 | 1,450,376,433 | I_kwDODunzps5Wcvzx | 5,245 | Unable to rename columns in streaming dataset | {
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Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | {
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https://api.github.com/repos/huggingface/datasets/issues/5244 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5244/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5244/comments | https://api.github.com/repos/huggingface/datasets/issues/5244/events | https://github.com/huggingface/datasets/issues/5244 | 1,450,019,225 | I_kwDODunzps5WbYmZ | 5,244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | {
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] | open | false | null | [] | null | 5 | 2022-11-15T16:02:10 | 2022-11-23T14:02:30 | null | CONTRIBUTOR | null | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | null | {
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] | open | false | null | [] | null | 6 | 2022-11-15T10:15:54 | 2024-03-06T13:28:17 | null | NONE | null | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
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https://api.github.com/repos/huggingface/datasets/issues/5242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5242/comments | https://api.github.com/repos/huggingface/datasets/issues/5242/events | https://github.com/huggingface/datasets/issues/5242 | 1,449,069,382 | I_kwDODunzps5WXwtG | 5,242 | Failed Data Processing upon upload with zip file full of images | {
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I chose the method 2 option. I have a csv file with two columns. ~23,000 files.
I... | null | {
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following #5237 | {
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https://api.github.com/repos/huggingface/datasets/issues/5240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5240/comments | https://api.github.com/repos/huggingface/datasets/issues/5240/events | https://github.com/huggingface/datasets/pull/5240 | 1,448,478,617 | PR_kwDODunzps5C3Fe6 | 5,240 | Cleaner error tracebacks for dataset script errors | {
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<details>
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https://api.github.com/repos/huggingface/datasets/issues/5239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5239/comments | https://api.github.com/repos/huggingface/datasets/issues/5239/events | https://github.com/huggingface/datasets/pull/5239 | 1,448,211,373 | PR_kwDODunzps5C2L_P | 5,239 | Add num_proc to from_csv/generator/json/parquet/text | {
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https://api.github.com/repos/huggingface/datasets/issues/5238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5238/comments | https://api.github.com/repos/huggingface/datasets/issues/5238/events | https://github.com/huggingface/datasets/pull/5238 | 1,448,211,251 | PR_kwDODunzps5C2L9h | 5,238 | Make `Version` hashable | {
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Fix https://github.com/huggingface/datasets/issues/5230 | {
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https://api.github.com/repos/huggingface/datasets/issues/5237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5237/comments | https://api.github.com/repos/huggingface/datasets/issues/5237/events | https://github.com/huggingface/datasets/pull/5237 | 1,448,202,491 | PR_kwDODunzps5C2KGz | 5,237 | Encode path only for old versions of hfh | {
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https://api.github.com/repos/huggingface/datasets/issues/5236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5236/comments | https://api.github.com/repos/huggingface/datasets/issues/5236/events | https://github.com/huggingface/datasets/pull/5236 | 1,448,190,801 | PR_kwDODunzps5C2Hnj | 5,236 | Handle ArrowNotImplementedError caused by try_type being Image or Audio in cast | {
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Reproducer:
```python
from datasets import Dataset
from PIL import Image
import requests
ds = Dataset.from_dict({"image": [Image.open(requests.get("https://uploa... | {
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https://api.github.com/repos/huggingface/datasets/issues/5235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5235/comments | https://api.github.com/repos/huggingface/datasets/issues/5235/events | https://github.com/huggingface/datasets/pull/5235 | 1,448,052,660 | PR_kwDODunzps5C1pjc | 5,235 | Pin `typer` version in tests to <0.5 to fix Windows CI | {
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```
Traceback (most recent call last):
File "C:\hostedtoolcache\windows\Python\3.7.9\x64\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\hostedtoolcache\windows\Python\3.7.9\x64\lib\runpy.py", line 85, in _run_code
exec(code, run_glob... | {
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https://api.github.com/repos/huggingface/datasets/issues/5234 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5234/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5234/comments | https://api.github.com/repos/huggingface/datasets/issues/5234/events | https://github.com/huggingface/datasets/pull/5234 | 1,447,999,062 | PR_kwDODunzps5C1diq | 5,234 | fix: dataset path should be absolute | {
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A simple way where this could cause a problem:
```
import os
import datasets
def add_prefix(example):
example["text"] = "Review: " + example["text"]
return example
ds = datasets.load_from_disk("a/relative/path")
os.chdir("/tmp")
ds_1 = ds.map(add_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5233 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5233/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5233/comments | https://api.github.com/repos/huggingface/datasets/issues/5233/events | https://github.com/huggingface/datasets/pull/5233 | 1,447,906,868 | PR_kwDODunzps5C1JVh | 5,233 | Fix shards in IterableDataset.from_generator | {
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https://api.github.com/repos/huggingface/datasets/issues/5232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5232/comments | https://api.github.com/repos/huggingface/datasets/issues/5232/events | https://github.com/huggingface/datasets/issues/5232 | 1,446,294,165 | I_kwDODunzps5WNLKV | 5,232 | Incompatible dill versions in datasets 2.6.1 | {
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datasets version 2.6.1 has a dependency on dill<0.3.6. This causes a conflict with dill>=0.3.6 used by multiprocess dependency in datasets 2.6.1
This issue is already fixed in https://github.com/huggingface/datasets/pull/5166/files, but not yet been released. Please release a new version of the... | {
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https://api.github.com/repos/huggingface/datasets/issues/5231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5231/comments | https://api.github.com/repos/huggingface/datasets/issues/5231/events | https://github.com/huggingface/datasets/issues/5231 | 1,445,883,267 | I_kwDODunzps5WLm2D | 5,231 | Using `set_format(type='torch', columns=columns)` makes Array2D/3D columns stop formatting correctly | {
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```
'image': Array3D(dtype="int64", shape=(3, 224, 224)),
'bbox': Array2D(dtype="int64", shape=(512, 4)),
```
On said dataset, if I `dataset.set_format(type='torch')` and then use the dataset in a dataloader, these columns are correctly cast to Tensors of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5230/comments | https://api.github.com/repos/huggingface/datasets/issues/5230/events | https://github.com/huggingface/datasets/issues/5230 | 1,445,507,580 | I_kwDODunzps5WKLH8 | 5,230 | dataclasses error when importing the library in python 3.11 | {
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When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | {
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https://api.github.com/repos/huggingface/datasets/issues/5229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5229/comments | https://api.github.com/repos/huggingface/datasets/issues/5229/events | https://github.com/huggingface/datasets/issues/5229 | 1,445,121,028 | I_kwDODunzps5WIswE | 5,229 | Type error when calling `map` over dataset containing 0-d tensors | {
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0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
```
ds = datasets.Dataset.from_list([{"a": 1}, {"a": 1}]).with_fo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5228/comments | https://api.github.com/repos/huggingface/datasets/issues/5228/events | https://github.com/huggingface/datasets/issues/5228 | 1,444,763,105 | I_kwDODunzps5WHVXh | 5,228 | Loading a dataset from the hub fails if you happen to have a folder of the same name | {
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I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a situation where multiple workers were downloading different parts of the glue dataset and ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5227 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5227/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5227/comments | https://api.github.com/repos/huggingface/datasets/issues/5227/events | https://github.com/huggingface/datasets/issues/5227 | 1,444,620,094 | I_kwDODunzps5WGyc- | 5,227 | datasets.data_files.EmptyDatasetError: The directory at wikisql doesn't contain any data files | {
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From these lines:
from datasets import list_datasets, load_dataset
dataset = load_dataset("wikisql","binary")
I get error message:
datasets.data_files.EmptyDatasetError: The directory at wikisql doesn't contain any data files
And yet the 'wikisql' is reported to exist via the list_datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/5226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5226/comments | https://api.github.com/repos/huggingface/datasets/issues/5226/events | https://github.com/huggingface/datasets/issues/5226 | 1,444,385,148 | I_kwDODunzps5WF5F8 | 5,226 | Q: Memory release when removing the column? | {
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How do I release memory when I use methods like `.remove_columns()` or `clear()` in notebooks?
```python
from datasets import load_dataset
common_voice = load_dataset("mozilla-foundation/common_voice_11_0", "ja", use_auth_token=True)
# check memory -> RAM Used (GB): 0.704 / Total (GB) 33.670... | {
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https://api.github.com/repos/huggingface/datasets/issues/5225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5225/comments | https://api.github.com/repos/huggingface/datasets/issues/5225/events | https://github.com/huggingface/datasets/issues/5225 | 1,444,305,183 | I_kwDODunzps5WFlkf | 5,225 | Add video feature | {
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"node_id": "MDU6... | open | false | null | [] | null | 7 | 2022-11-10T17:36:11 | 2022-12-02T15:13:15 | null | CONTRIBUTOR | null | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5224 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5224/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5224/comments | https://api.github.com/repos/huggingface/datasets/issues/5224/events | https://github.com/huggingface/datasets/issues/5224 | 1,443,640,867 | I_kwDODunzps5WDDYj | 5,224 | Seems to freeze when loading audio dataset with wav files from local folder | {
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I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder and then the audios and csv. When I try to load the dataset and run from term... | {
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https://api.github.com/repos/huggingface/datasets/issues/5223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5223/comments | https://api.github.com/repos/huggingface/datasets/issues/5223/events | https://github.com/huggingface/datasets/pull/5223 | 1,442,610,658 | PR_kwDODunzps5CjT9Z | 5,223 | Add SQL guide | {
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https://api.github.com/repos/huggingface/datasets/issues/5222 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5222/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5222/comments | https://api.github.com/repos/huggingface/datasets/issues/5222/events | https://github.com/huggingface/datasets/issues/5222 | 1,442,412,507 | I_kwDODunzps5V-Xfb | 5,222 | HuggingFace website is incorrectly reporting that my datasets are pickled | {
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HuggingFace is incorrectly reporting that my datasets are pickled. They are not picked, they are simple ZIP files containing PNG images.
Hopefully this is the right location to report this bug.
### Steps to reproduce the bug
Inspect my dataset respository here: https://huggingface.co/datasets... | {
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https://api.github.com/repos/huggingface/datasets/issues/5221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5221/comments | https://api.github.com/repos/huggingface/datasets/issues/5221/events | https://github.com/huggingface/datasets/issues/5221 | 1,442,309,094 | I_kwDODunzps5V9-Pm | 5,221 | Cannot push | {
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I am facing the issue when I try to push the tar.gz file around 11G to HUB.
```
(venv) ββlaptop@laptop ~/PersonalProjects/data/ulaanbal_v0 βΉmainββΊ
β°β$ du -sh *
4.0K README.md
13G data
516K test.jsonl
18M train.jsonl
4.0K ulaanbal_v0.py
11G ulaanbal_v0.tar.gz
452K validation.jsonl... | {
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https://api.github.com/repos/huggingface/datasets/issues/5220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5220/comments | https://api.github.com/repos/huggingface/datasets/issues/5220/events | https://github.com/huggingface/datasets/issues/5220 | 1,441,664,377 | I_kwDODunzps5V7g15 | 5,220 | Implicit type conversion of lists in to_pandas | {
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```
ds = Dataset.from_list([{'a':[1,2,3]}])
ds.to_pandas().a.values[0]
```
Results in `array([1, 2, 3])` -- a rather unexpected conversion of types which made downstream tools expecting lists not happy.
### Steps to reproduce the bug
See snippet
### Expected behavior
Keep the original typ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5219 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5219/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5219/comments | https://api.github.com/repos/huggingface/datasets/issues/5219/events | https://github.com/huggingface/datasets/issues/5219 | 1,441,255,910 | I_kwDODunzps5V59Hm | 5,219 | Delta Tables usage using Datasets Library | {
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] | open | false | null | [] | null | 4 | 2022-11-09T02:43:56 | 2023-03-02T19:29:12 | null | NONE | null | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5218 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5218/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5218/comments | https://api.github.com/repos/huggingface/datasets/issues/5218/events | https://github.com/huggingface/datasets/issues/5218 | 1,441,254,194 | I_kwDODunzps5V58sy | 5,218 | Delta Tables usage using Datasets Library | {
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Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | {
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https://api.github.com/repos/huggingface/datasets/issues/5217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5217/comments | https://api.github.com/repos/huggingface/datasets/issues/5217/events | https://github.com/huggingface/datasets/pull/5217 | 1,441,252,740 | PR_kwDODunzps5CetXs | 5,217 | Reword E2E training and inference tips in the vision guides | {
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https://api.github.com/repos/huggingface/datasets/issues/5216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5216/comments | https://api.github.com/repos/huggingface/datasets/issues/5216/events | https://github.com/huggingface/datasets/issues/5216 | 1,441,041,947 | I_kwDODunzps5V5I4b | 5,216 | save_elasticsearch_index | {
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I am new to Dataset and elasticsearch. I was wondering is there any equivalent approach to save elasticsearch index as of save_faiss_index locally for later use, to remove the need to re-index a dataset? | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5214/comments | https://api.github.com/repos/huggingface/datasets/issues/5214/events | https://github.com/huggingface/datasets/pull/5214 | 1,440,334,978 | PR_kwDODunzps5CbmWE | 5,214 | Update github pr docs actions | {
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https://api.github.com/repos/huggingface/datasets/issues/5213 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5213/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5213/comments | https://api.github.com/repos/huggingface/datasets/issues/5213/events | https://github.com/huggingface/datasets/pull/5213 | 1,440,037,534 | PR_kwDODunzps5CalQ_ | 5,213 | Add support for different configs with `push_to_hub` | {
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@lhoestq @albertvillanova @mariosasko
This is still a super draft so please ignore code issues but I want to discuss some conceptually important things.
I suggest a way to do `.push_to_hub("repo_id", "config_name")` with pushing parquet files to directories named as `config_name` (inside `data... | {
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https://api.github.com/repos/huggingface/datasets/issues/5212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5212/comments | https://api.github.com/repos/huggingface/datasets/issues/5212/events | https://github.com/huggingface/datasets/pull/5212 | 1,439,642,483 | PR_kwDODunzps5CZPI2 | 5,212 | Fix CI require_beam maximum compatible dill version | {
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- d7c942228b8dcf4de64b00a3053dce59b335f618
- ec222b220b79f10c8d7b015769f0999b15959feb
This PR fixes the maximum compatible `dill` version with `apache-beam`, which... | {
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https://api.github.com/repos/huggingface/datasets/issues/5211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5211/comments | https://api.github.com/repos/huggingface/datasets/issues/5211/events | https://github.com/huggingface/datasets/pull/5211 | 1,438,544,617 | PR_kwDODunzps5CVgBx | 5,211 | Update Overview.ipynb google colab | {
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- added image example
- added audio example (with ffmpeg instructions)
- updated the "add a new dataset" section | {
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https://api.github.com/repos/huggingface/datasets/issues/5210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5210/comments | https://api.github.com/repos/huggingface/datasets/issues/5210/events | https://github.com/huggingface/datasets/pull/5210 | 1,438,492,507 | PR_kwDODunzps5CVUzx | 5,210 | Tweak readme | {
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https://api.github.com/repos/huggingface/datasets/issues/5209 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5209/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5209/comments | https://api.github.com/repos/huggingface/datasets/issues/5209/events | https://github.com/huggingface/datasets/issues/5209 | 1,438,367,678 | I_kwDODunzps5Vu7-- | 5,209 | Implement ability to define splits in metadata section of dataset card | {
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If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | {
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https://api.github.com/repos/huggingface/datasets/issues/5208 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5208/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5208/comments | https://api.github.com/repos/huggingface/datasets/issues/5208/events | https://github.com/huggingface/datasets/pull/5208 | 1,438,035,707 | PR_kwDODunzps5CTyxu | 5,208 | Refactor CI hub fixtures to use monkeypatch instead of patch | {
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It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5206/comments | https://api.github.com/repos/huggingface/datasets/issues/5206/events | https://github.com/huggingface/datasets/issues/5206 | 1,437,223,894 | I_kwDODunzps5VqkvW | 5,206 | Use logging instead of printing to console | {
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Some logs ([here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L778), [here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L786), and [here](https://github.com/huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/5205 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5205/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5205/comments | https://api.github.com/repos/huggingface/datasets/issues/5205/events | https://github.com/huggingface/datasets/pull/5205 | 1,437,221,987 | PR_kwDODunzps5CRO33 | 5,205 | Add missing `DownloadConfig.use_auth_token` value | {
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Now the `token` is propagated so that `DownloadConfig.use_auth_token` value is set before trying to download private files from existing datasets in the Hub. | {
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When trying to upload a new π€ Dataset to the Hub via Python, and providing the `token` as a parameter to the `Dataset.push_to_hub` function, it just works for the first time, assuming that the dataset didn't exist before.
But when trying to run `Dataset.push_to_hub` again over the same dataset... | {
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______ test_get_dataset_config_info[paws-labeled_final-expected_splits2] _______
[gw0] linux -- Python 3.7.15 /opt/hostedtoolcache/Python/3.7.15/x64/bin/python
path = 'paws', config_name = 'labeled_final'
expected_splits = ['train', 'test', 'validation']
@pytest.mark.parametrize(
"path, config... | {
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https://api.github.com/repos/huggingface/datasets/issues/5201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5201/comments | https://api.github.com/repos/huggingface/datasets/issues/5201/events | https://github.com/huggingface/datasets/pull/5201 | 1,435,881,554 | PR_kwDODunzps5CM0zn | 5,201 | Do not sort splits in dataset info | {
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What do you think?
But I added sorting in tests to fix CI (for the same datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/5199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5199/comments | https://api.github.com/repos/huggingface/datasets/issues/5199/events | https://github.com/huggingface/datasets/pull/5199 | 1,434,818,836 | PR_kwDODunzps5CJSv1 | 5,199 | Deprecate dummy data generation command | {
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also fixed two minor issues in audio docs (broken links) | {
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https://api.github.com/repos/huggingface/datasets/issues/5197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5197/comments | https://api.github.com/repos/huggingface/datasets/issues/5197/events | https://github.com/huggingface/datasets/pull/5197 | 1,434,676,150 | PR_kwDODunzps5CI0Ac | 5,197 | [zstd] Use max window log size | {
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Change `max_window_size` to the zstd's max window size. NOTE, the `zstd.WINDOWLOG_MAX` is the log_2 value of the m... | null | {
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This PR also creates the `hub` module that will contain all `huggingface_hub` functionalities relevant to `datasets`.
This is a necessary stage before implementing the use of the `hfh` caching system (which uses its `hf_hub_url` under the hood... | {
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https://api.github.com/repos/huggingface/datasets/issues/5195 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5195/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5195/comments | https://api.github.com/repos/huggingface/datasets/issues/5195/events | https://github.com/huggingface/datasets/pull/5195 | 1,434,290,689 | PR_kwDODunzps5CHhF2 | 5,195 | [wip testing docs] | {
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https://api.github.com/repos/huggingface/datasets/issues/5194 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5194/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5194/comments | https://api.github.com/repos/huggingface/datasets/issues/5194/events | https://github.com/huggingface/datasets/pull/5194 | 1,434,206,951 | PR_kwDODunzps5CHPNY | 5,194 | Fix docs about dataset_info in YAML | {
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- #4926
Related to:
- #5193 | {
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https://api.github.com/repos/huggingface/datasets/issues/5193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5193/comments | https://api.github.com/repos/huggingface/datasets/issues/5193/events | https://github.com/huggingface/datasets/issues/5193 | 1,433,883,780 | I_kwDODunzps5Vd1SE | 5,193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | {
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When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5192 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5192/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5192/comments | https://api.github.com/repos/huggingface/datasets/issues/5192/events | https://github.com/huggingface/datasets/pull/5192 | 1,433,199,790 | PR_kwDODunzps5CD2BQ | 5,192 | Drop labels in Image and Audio folders if files are on different levels in directory or if there is only one label | {
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Drop labels by default (`drop_labels=None`) when:
* there are files on different levels of directory hierarchy by checking their path depth
* all files are in the same directory (=only one label was inferred)
First one fixes cases like this:
```
r... | {
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https://api.github.com/repos/huggingface/datasets/issues/5191 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5191/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5191/comments | https://api.github.com/repos/huggingface/datasets/issues/5191/events | https://github.com/huggingface/datasets/pull/5191 | 1,433,191,658 | PR_kwDODunzps5CD0Qp | 5,191 | Make torch.Tensor and spacy models cacheable | {
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Fix https://github.com/huggingface/datasets/issues/5170, fix https://github.com/huggingface/datasets/issues/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5190/comments | https://api.github.com/repos/huggingface/datasets/issues/5190/events | https://github.com/huggingface/datasets/issues/5190 | 1,433,014,626 | I_kwDODunzps5VahFi | 5,190 | `path` is `None` when downloading a custom audio dataset from the Hub | {
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I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed it to the Hub.
Locally, I can see the `audio.path` feature is of the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5189/comments | https://api.github.com/repos/huggingface/datasets/issues/5189/events | https://github.com/huggingface/datasets/issues/5189 | 1,432,769,143 | I_kwDODunzps5VZlJ3 | 5,189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | {
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Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5188/comments | https://api.github.com/repos/huggingface/datasets/issues/5188/events | https://github.com/huggingface/datasets/pull/5188 | 1,432,477,139 | PR_kwDODunzps5CBaoQ | 5,188 | add: segmentation guide. | {
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I have opened a PR on Hub (https://huggingface.co/datasets/huggingface/documentation-images/discussions/5) to include the images in our central Hub repository. Once the PR is merged I will edit the image links.
I have also prepared a [Colab Notebook](https://colab.research.google.com/drive/1BMDCfOT... | {
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When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
### Steps to reproduce the bug
Make a new sqlite db with `sqlite3` and `pandas` from... | {
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Currently, map does one of two things to the features (if I'm not mistaken):
* when you do not pass features, types are assumed to be equal to the input if they can be cast, and inferred otherwise
* when you pass a full specification of features, output features are set to this
However, so... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5183/comments | https://api.github.com/repos/huggingface/datasets/issues/5183/events | https://github.com/huggingface/datasets/issues/5183 | 1,431,418,066 | I_kwDODunzps5VUbTS | 5,183 | Loading an external dataset in a format similar to conll2003 | {
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features = datasets.Features(
{"tokens": datasets.Sequence(datasets.Value("string")),
"ner_tags": datasets.Sequence(
datasets.featu... | {
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For example, here in [https://huggingface.co/docs/datasets/image_classification] we could include a mention of https://github.com/huggingface/notebooks/blob/main/examples/image_classificatio... | {
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* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happy to contribute a PR for it.
Cc: @os... | {
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https://api.github.com/repos/huggingface/datasets/issues/5180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5180/comments | https://api.github.com/repos/huggingface/datasets/issues/5180/events | https://github.com/huggingface/datasets/issues/5180 | 1,431,012,438 | I_kwDODunzps5VS4RW | 5,180 | An example or recommendations for creating large image datasets? | {
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As a user, I was wondering if we have this support for... | null | {
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I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
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"followers_... | null | 3 | 2022-11-01T03:17:55 | 2022-11-02T08:27:15 | 2022-11-02T08:24:29 | NONE | null | ### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/zhwiki/20220301/dumpsta... | {
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https://api.github.com/repos/huggingface/datasets/issues/5177 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5177/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5177/comments | https://api.github.com/repos/huggingface/datasets/issues/5177/events | https://github.com/huggingface/datasets/pull/5177 | 1,430,238,556 | PR_kwDODunzps5B55iV | 5,177 | Update create image dataset docs | {
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"name": "documentation",
"color": "0075ca",
"default": true,
"description": "Improvements or additions to documentation"
}
] | closed | false | null | [] | null | 1 | 2022-10-31T17:45:56 | 2022-11-02T17:15:22 | 2022-11-02T17:13:02 | MEMBER | null | Based on @osanseviero and community feedback, it wasn't super clear how to upload a dataset to the Hub after creating something like an image captioning dataset. This PR adds a brief section on how to upload the dataset with `push_to_hub`. | {
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https://api.github.com/repos/huggingface/datasets/issues/5176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5176/comments | https://api.github.com/repos/huggingface/datasets/issues/5176/events | https://github.com/huggingface/datasets/issues/5176 | 1,430,214,539 | I_kwDODunzps5VP1eL | 5,176 | prepare dataset for cloud storage doesn't work | {
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"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | null | 2 | 2022-10-31T17:28:57 | 2023-03-28T09:11:46 | 2023-03-28T09:11:45 | NONE | null | ### Describe the bug
Following the [documentation](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) and [this PR](https://github.com/huggingface/datasets/pull/4724), I was downloading and storing huggingface dataset to cloud storage.
```
from datasets ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5175 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5175/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5175/comments | https://api.github.com/repos/huggingface/datasets/issues/5175/events | https://github.com/huggingface/datasets/issues/5175 | 1,428,696,231 | I_kwDODunzps5VKCyn | 5,175 | Loading an external NER dataset | {
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"node_id": "U_kgDOBrV1sg",
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"url": "https://api.github.com/users/Taghreed7878",
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"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | null | 0 | 2022-10-30T09:31:55 | 2022-11-01T13:15:49 | 2022-11-01T13:15:49 | NONE | null | I need to use huggingface datasets to load a custom dataset similar to conll2003 but with more entities and each the files contain only two columns: word and ner tag.
I tried this code snnipet that I found here as an answer to a similar issue:
from datasets import Dataset
INPUT_COLUMNS = "ID Text NER".split()
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5174 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5174/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5174/comments | https://api.github.com/repos/huggingface/datasets/issues/5174/events | https://github.com/huggingface/datasets/pull/5174 | 1,427,216,416 | PR_kwDODunzps5Bv3rh | 5,174 | Preserve None in list type cast in PyArrow 10 | {
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"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
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"url": "https://api.github.com/users/mariosasko",
"html_url": "https://github.com/mariosasko",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | null | 1 | 2022-10-28T12:48:30 | 2022-10-28T13:15:33 | 2022-10-28T13:13:18 | COLLABORATOR | null | The `ListArray` type in PyArrow 10.0.0 supports the `mask` parameter, which allows us to preserve Nones in nested lists in `cast` instead of replacing them with empty lists.
Fix https://github.com/huggingface/datasets/issues/3676 | {
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https://api.github.com/repos/huggingface/datasets/issues/5173 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5173/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5173/comments | https://api.github.com/repos/huggingface/datasets/issues/5173/events | https://github.com/huggingface/datasets/pull/5173 | 1,425,880,441 | PR_kwDODunzps5BreEm | 5,173 | Raise ffmpeg warnings only once | {
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"followers_url": "https://api.github.c... | [] | closed | false | null | [] | null | 1 | 2022-10-27T15:58:33 | 2022-10-28T16:03:05 | 2022-10-28T16:00:51 | CONTRIBUTOR | null | Our warnings looks nice now.
`librosa` warning that was raised at each decoding:
```
/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py:165: UserWarning: PySoundFile failed. Trying audioread instead.
warnings.warn("PySoundFile failed. Trying audioread instead.")
```
is suppressed with `filterwarnin... | {
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https://api.github.com/repos/huggingface/datasets/issues/5172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5172/comments | https://api.github.com/repos/huggingface/datasets/issues/5172/events | https://github.com/huggingface/datasets/issues/5172 | 1,425,523,114 | I_kwDODunzps5U98Gq | 5,172 | Inconsistency behavior between handling local file protocol and other FS protocols | {
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These lines us used during load_from_disk:
```
if is_remote_filesystem(fs):
dest_dataset_dict_path = extract_path_from_uri(dataset_dict_path)
else:
fs = fsspec.filesystem("file")
dest_dataset_dict_path = dataset_dict_path
```
If a local FS is given, then it will the URL as th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5171/comments | https://api.github.com/repos/huggingface/datasets/issues/5171/events | https://github.com/huggingface/datasets/pull/5171 | 1,425,355,111 | PR_kwDODunzps5BpsXf | 5,171 | Add PB and TB in convert_file_size_to_int | {
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