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https://github.com/huggingface/datasets/issues/4358 | Missing dataset tags and sections in some dataset cards | Hi @RohitRathore1 :)
You can find all the YAML tags in the tagging app here: https://hf.co/spaces/huggingface/datasets-tagging). They're all passed as arguments to a DatasetMetadata object used to validate the tags. | Summary of CircleCI errors for different dataset metadata:
- **BoolQ**: missing 8 required positional arguments: 'annotations_creators', 'language_creators', 'licenses', 'multilinguality', 'size_categories', 'source_datasets', 'task_categories', and 'task_ids'
- **Conllpp**: expected some content in section `Citati... | 30 | Missing dataset tags and sections in some dataset cards
Summary of CircleCI errors for different dataset metadata:
- **BoolQ**: missing 8 required positional arguments: 'annotations_creators', 'language_creators', 'licenses', 'multilinguality', 'size_categories', 'source_datasets', 'task_categories', and 'task_ids'
... |
https://github.com/huggingface/datasets/issues/4506 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results | Important info:
As hashes are generated randomly for functions, it leads to **false identifying some results as already hashed** (mapping function is not executed after a method update) when there's a `pytorch_lightning.seed_everything(123)` | ## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datasets.arrow_dataset.Dataset.
_map_single couldn't be hashed properly, a random hash was used instead. Make sur... | 32 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results
## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datase... |
https://github.com/huggingface/datasets/issues/4506 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results | Hi ! Thanks for reporting. This bug seems to appear in python 3.9 using dill 3.5.1
As a workaround you can use an older version of dill:
```
pip install "dill<0.3.5"
``` | ## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datasets.arrow_dataset.Dataset.
_map_single couldn't be hashed properly, a random hash was used instead. Make sur... | 32 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results
## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datase... |
https://github.com/huggingface/datasets/issues/4506 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results | installing `dill<0.3.5` after installing `datasets` by pip results in dependency conflict with the version required for `multiprocess`. It can be solved by installing `pip install datasets "dill<0.3.5"` (simultaneously) on a clean environment | ## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datasets.arrow_dataset.Dataset.
_map_single couldn't be hashed properly, a random hash was used instead. Make sur... | 32 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results
## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datase... |
https://github.com/huggingface/datasets/issues/4506 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results | This has been fixed in https://github.com/huggingface/datasets/pull/4516, we will do a new release soon to include the fix :) | ## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datasets.arrow_dataset.Dataset.
_map_single couldn't be hashed properly, a random hash was used instead. Make sur... | 18 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results
## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datase... |
https://github.com/huggingface/datasets/issues/6643 | Faiss GPU index cannot be serialised when passed to trainer | Hi Quentin, not sure how that solves the problem number 1. I am trying to pass on a dataset with a faiss gpu for training to the standard trainer but getting this serialisation error. What is a workaround this? I do not want to remove the faiss index, as I would want to use it to create batches of retrieved samples fro... | ### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu faiss index, but doesn't for a gpu one, getting error:
```
... | 70 | Faiss GPU index cannot be serialised when passed to trainer
### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu fais... |
https://github.com/huggingface/datasets/issues/6643 | Faiss GPU index cannot be serialised when passed to trainer | Issue number one seems to be an issue with FAISS indexes not being compatible with copy.deepcopy.
Maybe you try to not remove the columns, e.g. by passing `remove_unused_columns=False` | ### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu faiss index, but doesn't for a gpu one, getting error:
```
... | 28 | Faiss GPU index cannot be serialised when passed to trainer
### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu fais... |
https://github.com/huggingface/datasets/issues/3304 | Dataset object has no attribute `to_tf_dataset` | The issue is due to the older version of transformers and datasets. It has been resolved by upgrading their versions.
```
# upgrade transformers and datasets to latest versions
!pip install --upgrade transformers
!pip install --upgrade datasets
```
Regards! | I am following HuggingFace Course. I am at Fine-tuning a model.
Link: https://huggingface.co/course/chapter3/2?fw=tf
I use tokenize_function and `map` as mentioned in the course to process data.
`# define a tokenize function`
`def Tokenize_function(example):`
` return tokenizer(example['sentence'], truncat... | 39 | Dataset object has no attribute `to_tf_dataset`
I am following HuggingFace Course. I am at Fine-tuning a model.
Link: https://huggingface.co/course/chapter3/2?fw=tf
I use tokenize_function and `map` as mentioned in the course to process data.
`# define a tokenize function`
`def Tokenize_function(example):`
` ... |
https://github.com/huggingface/datasets/issues/3257 | Use f-strings for string formatting | Hi, I would be glad to help with this. Is there anyone else working on it? | f-strings offer better readability/performance than `str.format` and `%`, so we should use them in all places in our codebase unless there is good reason to keep the older syntax.
> **NOTE FOR CONTRIBUTORS**: To avoid large PRs and possible merge conflicts, do 1-3 modules per PR. Also, feel free to ignore the files ... | 16 | Use f-strings for string formatting
f-strings offer better readability/performance than `str.format` and `%`, so we should use them in all places in our codebase unless there is good reason to keep the older syntax.
> **NOTE FOR CONTRIBUTORS**: To avoid large PRs and possible merge conflicts, do 1-3 modules per PR.... |
https://github.com/huggingface/datasets/issues/3257 | Use f-strings for string formatting | Hi @Carlosbogo,
would you be interested in replacing the `.format` and `%` syntax with f-strings in the modules in the `datasets` directory since @Mehdi2402 has opened a PR that does that for all the other directories? | f-strings offer better readability/performance than `str.format` and `%`, so we should use them in all places in our codebase unless there is good reason to keep the older syntax.
> **NOTE FOR CONTRIBUTORS**: To avoid large PRs and possible merge conflicts, do 1-3 modules per PR. Also, feel free to ignore the files ... | 36 | Use f-strings for string formatting
f-strings offer better readability/performance than `str.format` and `%`, so we should use them in all places in our codebase unless there is good reason to keep the older syntax.
> **NOTE FOR CONTRIBUTORS**: To avoid large PRs and possible merge conflicts, do 1-3 modules per PR.... |
https://github.com/huggingface/datasets/issues/7662 | Applying map after transform with multiprocessing will cause OOM | Hi ! `add_column` loads the full column data in memory:
https://github.com/huggingface/datasets/blob/bfa497b1666f4c58bd231c440d8b92f9859f3a58/src/datasets/arrow_dataset.py#L6021-L6021
a workaround to add the new column is to include the new data in the map() function instead, which only loads one batch at a time | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | 37 | Applying map after transform with multiprocessing will cause OOM
### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directl... |
https://github.com/huggingface/datasets/issues/7662 | Applying map after transform with multiprocessing will cause OOM | > Hi ! `add_column` loads the full column data in memory:
>
> [datasets/src/datasets/arrow_dataset.py](https://github.com/huggingface/datasets/blob/bfa497b1666f4c58bd231c440d8b92f9859f3a58/src/datasets/arrow_dataset.py#L6021-L6021)
>
> Line 6021 in [bfa497b](/huggingface/datasets/commit/bfa497b1666f4c58bd231c440d8b92... | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | 66 | Applying map after transform with multiprocessing will cause OOM
### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directl... |
https://github.com/huggingface/datasets/issues/7662 | Applying map after transform with multiprocessing will cause OOM | cast_column calls `pyarrow.Table.cast` on the full dataset which I believe the memory usage depends on the source and target types but should be low in general
casting from Audio(16000) to Audio(24000) is cheap since the source and target arrow types are the same | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | 43 | Applying map after transform with multiprocessing will cause OOM
### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directl... |
https://github.com/huggingface/datasets/issues/7662 | Applying map after transform with multiprocessing will cause OOM | > cast_column calls `pyarrow.Table.cast` on the full dataset which I believe the memory usage depends on the source and target types but should be low in general
>
> casting from Audio(16000) to Audio(24000) is cheap since the source and target arrow types are the same
Thanks for replying. So the OOM is caused by add... | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | 68 | Applying map after transform with multiprocessing will cause OOM
### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directl... |
https://github.com/huggingface/datasets/issues/7662 | Applying map after transform with multiprocessing will cause OOM | > Hi ! `add_column` loads the full column data in memory:
>
> [datasets/src/datasets/arrow_dataset.py](https://github.com/huggingface/datasets/blob/bfa497b1666f4c58bd231c440d8b92f9859f3a58/src/datasets/arrow_dataset.py#L6021-L6021)
>
> Line 6021 in [bfa497b](/huggingface/datasets/commit/bfa497b1666f4c58bd231c440d8b92... | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | 62 | Applying map after transform with multiprocessing will cause OOM
### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directl... |
https://github.com/huggingface/datasets/issues/4720 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks | It seems like the list of splits could not be obtained:
```python
>>> from datasets import get_dataset_split_names
>>> get_dataset_split_names("shamikbose89/lancaster_newsbooks", "default")
Using custom data configuration default
Traceback (most recent call last):
File "/home/slesage/hf/datasets-server/servic... | ### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also runs when I'm using the one from the hub, but the viewer sti... | 185 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks
### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also ru... |
https://github.com/huggingface/datasets/issues/4720 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks | Oh, I removed the 'split' key from `kwargs`. I put it back in, but there's still the same error | ### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also runs when I'm using the one from the hub, but the viewer sti... | 19 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks
### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also ru... |
https://github.com/huggingface/datasets/issues/4720 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks | It looks like the data host doesn't support http range requests, which is necessary to glob inside a ZIP archive in streaming mode. Can you try hosting the dataset elsewhere ? Or download each file separately from https://ota.bodleian.ox.ac.uk/repository/xmlui/handle/20.500.12024/2531 ? | ### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also runs when I'm using the one from the hub, but the viewer sti... | 39 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks
### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also ru... |
https://github.com/huggingface/datasets/issues/4720 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks | @lhoestq Thanks! That seems to have solved it. I can get the splits with the `get_dataset_split_names()` function. The dataset viewer is still not loading properly, though. The new error is
```
Status code: 400
Exception: BadZipFile
Message: File is not a zip file
```
PS. The dataset loads properly ... | ### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also runs when I'm using the one from the hub, but the viewer sti... | 53 | Dataset Viewer issue for shamikbose89/lancaster_newsbooks
### Link
https://huggingface.co/datasets/shamikbose89/lancaster_newsbooks
### Description
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
I am able to use the dataset loading script locally and it also ru... |
https://github.com/huggingface/datasets/issues/5918 | File not found for audio dataset | Running into a similar issue:
```
librispeech_test = load_dataset("librispeech", split="validation.clean")
print(librispeech_test[0])
{'audio': {'path': '/Users/atronchinjames/.cache/huggingface/datasets/downloads/extracted/991033b10b2fdbb4848dd62dc93fd44d7a0231b7b1752465fbc4fcbdb1f81933/2277-149896-0000.flac',
'arr... | ### Describe the bug
After loading an audio dataset, and looking at a sample entry, the `path` element, which is supposed to be the path to the audio file, doesn't actually exist.
### Steps to reproduce the bug
Run bug.py:
```py
import os.path
from datasets import load_dataset
def run() -> None:
cv1... | 108 | File not found for audio dataset
### Describe the bug
After loading an audio dataset, and looking at a sample entry, the `path` element, which is supposed to be the path to the audio file, doesn't actually exist.
### Steps to reproduce the bug
Run bug.py:
```py
import os.path
from datasets import load_datas... |
https://github.com/huggingface/datasets/issues/4507 | How to let `load_dataset` return a `Dataset` instead of `DatasetDict` in customized loading script | Hi @liyucheng09.
Users can pass the `split` parameter to `load_dataset`. For example, if your split name is "train",
```python
ds = load_dataset("dataset_name", split="train")
```
will return a `Dataset` instance. | If the dataset does not need splits, i.e., no training and validation split, more like a table. How can I let the `load_dataset` function return a `Dataset` object directly rather than return a `DatasetDict` object with only one key-value pair.
Or I can paraphrase the question in the following way: how to skip `_spl... | 29 | How to let `load_dataset` return a `Dataset` instead of `DatasetDict` in customized loading script
If the dataset does not need splits, i.e., no training and validation split, more like a table. How can I let the `load_dataset` function return a `Dataset` object directly rather than return a `DatasetDict` object with o... |
https://github.com/huggingface/datasets/issues/4675 | Unable to use dataset with PyTorch dataloader | Hi! `para_crawl` has a single column of type `Translation`, which stores translation dictionaries. These dictionaries can be stored in a NumPy array but not in a PyTorch tensor since PyTorch only supports numeric types. In `datasets`, the conversion to `torch` works as follows:
1. convert PyArrow table to NumPy array... | ## Describe the bug
When using `.with_format("torch")`, an arrow table is returned and I am unable to use it by passing it to a PyTorch DataLoader: please see the code below.
## Steps to reproduce the bug
```python
from datasets import load_dataset
from torch.utils.data import DataLoader
ds = load_dataset(
... | 137 | Unable to use dataset with PyTorch dataloader
## Describe the bug
When using `.with_format("torch")`, an arrow table is returned and I am unable to use it by passing it to a PyTorch DataLoader: please see the code below.
## Steps to reproduce the bug
```python
from datasets import load_dataset
from torch.utils... |
https://github.com/huggingface/datasets/issues/5783 | Offset overflow while doing regex on a text column | Hi! This looks like an Arrow bug, but it can be avoided by reducing the `writer_batch_size`.
(`ds = ds.map(get_text_caption, writer_batch_size=100)` in Colab runs without issues)
| ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | 25 | Offset overflow while doing regex on a text column
### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
... |
https://github.com/huggingface/datasets/issues/5783 | Offset overflow while doing regex on a text column | @mariosasko How do I determine the optimal size of write_batch_size? My training is sometimes fast and sometimes slow. Is it because write_batch_size is too small? Each batch of the current dataloader should be the same size. I preprocessed the dataset using map | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | 42 | Offset overflow while doing regex on a text column
### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
... |
https://github.com/huggingface/datasets/issues/5783 | Offset overflow while doing regex on a text column | @aihao2000 It's unlikely `writer_batch_size` is the problem. You can use the following code to profile the training loop (e.g., on a subset of data) and find slow parts:
```python
import cProfile, pstats
with cProfile.Profile() as profiler:
... # training loop code
stats = pstats.Stats(profiler).sort_stats... | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | 46 | Offset overflow while doing regex on a text column
### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
... |
https://github.com/huggingface/datasets/issues/5783 | Offset overflow while doing regex on a text column | @mariosasko Is the larger the num_proc of load_dataset within the number of cpu cores, the better? Then the num_proc of data_loader is the number of cpu cores/number of training processes | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | 30 | Offset overflow while doing regex on a text column
### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
... |
https://github.com/huggingface/datasets/issues/3308 | "dataset_infos.json" missing for chr_en and mc4 | Hi ! Thanks for reporting :)
We can easily add the metadata for `chr_en` IMO, but for mC4 it will take more time, since it requires to count the number of examples in each language | ## Describe the bug
In the repository, every dataset has its metadata in a file called`dataset_infos.json`. But, this file is missing for two datasets: `chr_en` and `mc4`.
## Steps to reproduce the bug
Check [chr_en](https://github.com/huggingface/datasets/tree/master/datasets/chr_en) and [mc4](https://github.com/... | 35 | "dataset_infos.json" missing for chr_en and mc4
## Describe the bug
In the repository, every dataset has its metadata in a file called`dataset_infos.json`. But, this file is missing for two datasets: `chr_en` and `mc4`.
## Steps to reproduce the bug
Check [chr_en](https://github.com/huggingface/datasets/tree/maste... |
https://github.com/huggingface/datasets/issues/3308 | "dataset_infos.json" missing for chr_en and mc4 | No problem. I am trying to do some analysis on the metadata of all available datasets. Is reading `metadata_infos.json` for each dataset the correct way to go?
I noticed that the same information is also available as special variables inside .py file of each dataset. So, I was wondering if `metadata_infos.json` has... | ## Describe the bug
In the repository, every dataset has its metadata in a file called`dataset_infos.json`. But, this file is missing for two datasets: `chr_en` and `mc4`.
## Steps to reproduce the bug
Check [chr_en](https://github.com/huggingface/datasets/tree/master/datasets/chr_en) and [mc4](https://github.com/... | 55 | "dataset_infos.json" missing for chr_en and mc4
## Describe the bug
In the repository, every dataset has its metadata in a file called`dataset_infos.json`. But, this file is missing for two datasets: `chr_en` and `mc4`.
## Steps to reproduce the bug
Check [chr_en](https://github.com/huggingface/datasets/tree/maste... |
https://github.com/huggingface/datasets/issues/3308 | "dataset_infos.json" missing for chr_en and mc4 | The `dataset_infos.json` files have more information and are made to be used to analyze the datasets without having to run/parse the python scripts. Moreover some datasets on the Hugging face don't even have a python script, and for those ones we'll make tools to generate the JSON file automatically :) | ## Describe the bug
In the repository, every dataset has its metadata in a file called`dataset_infos.json`. But, this file is missing for two datasets: `chr_en` and `mc4`.
## Steps to reproduce the bug
Check [chr_en](https://github.com/huggingface/datasets/tree/master/datasets/chr_en) and [mc4](https://github.com/... | 50 | "dataset_infos.json" missing for chr_en and mc4
## Describe the bug
In the repository, every dataset has its metadata in a file called`dataset_infos.json`. But, this file is missing for two datasets: `chr_en` and `mc4`.
## Steps to reproduce the bug
Check [chr_en](https://github.com/huggingface/datasets/tree/maste... |
https://github.com/huggingface/datasets/issues/4707 | Dataset Viewer issue for TheNoob3131/mosquito-data | Thanks for reporting. I refreshed the dataset viewer and it now works as expected.
https://huggingface.co/datasets/TheNoob3131/mosquito-data
<img width="1135" alt="Capture d’écran 2022-07-18 à 13 15 22" src="https://user-images.githubusercontent.com/1676121/179566497-e47f1a27-fd84-4a8d-9d7f-2e0f2da803df.png">
... | ### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_train.csv')
### Owner
_No response_ | 35 | Dataset Viewer issue for TheNoob3131/mosquito-data
### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_... |
https://github.com/huggingface/datasets/issues/4707 | Dataset Viewer issue for TheNoob3131/mosquito-data | By chance, could you provide some details about the operations done on the dataset: was it private? gated? | ### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_train.csv')
### Owner
_No response_ | 18 | Dataset Viewer issue for TheNoob3131/mosquito-data
### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_... |
https://github.com/huggingface/datasets/issues/4707 | Dataset Viewer issue for TheNoob3131/mosquito-data | Yes, it was a private dataset, and when I made it public, the Dataset Preview did not work.
However, now when I make the dataset private, it says that the Dataset Preview has been disabled. Why is this? | ### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_train.csv')
### Owner
_No response_ | 38 | Dataset Viewer issue for TheNoob3131/mosquito-data
### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_... |
https://github.com/huggingface/datasets/issues/4707 | Dataset Viewer issue for TheNoob3131/mosquito-data | Thanks for the details. For now, the dataset viewer is always disabled on private datasets (see https://huggingface.co/docs/hub/datasets-viewer for more details) | ### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_train.csv')
### Owner
_No response_ | 20 | Dataset Viewer issue for TheNoob3131/mosquito-data
### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_... |
https://github.com/huggingface/datasets/issues/4707 | Dataset Viewer issue for TheNoob3131/mosquito-data | Hi, it was working fine for a few hours, but then I can't see the dataset viewer again (public dataset). Why is this still happening?
It's the same error too:
| ### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_train.csv')
### Owner
_No response_ | 31 | Dataset Viewer issue for TheNoob3131/mosquito-data
### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_... |
https://github.com/huggingface/datasets/issues/4707 | Dataset Viewer issue for TheNoob3131/mosquito-data | OK? This is a bug, thanks for help spotting and reproducing it (it occurs when a dataset is switched to private, then to public). We will be working on it, meanwhile, I've restored the dataset viewer manually again. | ### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_train.csv')
### Owner
_No response_ | 38 | Dataset Viewer issue for TheNoob3131/mosquito-data
### Link
_No response_
### Description
Getting this error when trying to view dataset preview:
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/TheNoob3131/mosquito-data/resolve/8aceebd6c4a359d216d10ef020868bd9e8c986dd/0_Africa_... |
https://github.com/huggingface/datasets/issues/6156 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | `_effective_generator` returns a RNG that takes into account `self._epoch` and the current dataset's base shuffling RNG (which can be set by specifying `seed=` in `.shuffle() for example`).
To fix your error you can pass `seed=` to `.shuffle()`. And the shuffling will depend on both this seed and `self._epoch` | ### Describe the bug
Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb104eac4106bdc6ec0292f0dc61a/src/datasets/iterable_dataset.py#L1174-L1177
My question ... | 48 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset
### Describe the bug
Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb... |
https://github.com/huggingface/datasets/issues/4199 | Cache miss during reload for datasets using image fetch utilities through map | Hi ! Maybe one of the objects in the function is not deterministic across sessions ? You can read more about it and how to investigate here: https://huggingface.co/docs/datasets/about_cache | ## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when you exit the interpretor and reload it, the downloading starts from scratch.
... | 28 | Cache miss during reload for datasets using image fetch utilities through map
## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when ... |
https://github.com/huggingface/datasets/issues/4199 | Cache miss during reload for datasets using image fetch utilities through map | Hi @apsdehal! Can you verify that replacing
```python
def fetch_single_image(image_url, timeout=None, retries=0):
for _ in range(retries + 1):
try:
request = urllib.request.Request(
image_url,
data=None,
headers={"user-agent": get_datasets_... | ## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when you exit the interpretor and reload it, the downloading starts from scratch.
... | 88 | Cache miss during reload for datasets using image fetch utilities through map
## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when ... |
https://github.com/huggingface/datasets/issues/4199 | Cache miss during reload for datasets using image fetch utilities through map | Thanks @mariosasko. That does fix the issue. In general, I think these image downloading utilities since they are being used by a lot of image dataset should be provided as a part of `datasets` library right to keep the logic consistent and READMEs smaller? If they already exists, that is also great, please point me to... | ## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when you exit the interpretor and reload it, the downloading starts from scratch.
... | 63 | Cache miss during reload for datasets using image fetch utilities through map
## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when ... |
https://github.com/huggingface/datasets/issues/4199 | Cache miss during reload for datasets using image fetch utilities through map | You can find my rationale (and a proposed solution) for why these utilities are not a part of `datasets` here: https://github.com/huggingface/datasets/pull/4100#issuecomment-1097994003. | ## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when you exit the interpretor and reload it, the downloading starts from scratch.
... | 21 | Cache miss during reload for datasets using image fetch utilities through map
## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when ... |
https://github.com/huggingface/datasets/issues/4199 | Cache miss during reload for datasets using image fetch utilities through map | Makes sense. But, I think as the number of image datasets as grow, more people are copying pasting original code from docs to work as it is while we make fixes to them later. I think we do need a central place for these to avoid that confusion as well as more easier access to image datasets. Should we restart that disc... | ## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when you exit the interpretor and reload it, the downloading starts from scratch.
... | 65 | Cache miss during reload for datasets using image fetch utilities through map
## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when ... |
https://github.com/huggingface/datasets/issues/6275 | Would like to Contribute a dataset | Hi! The process of contributing a dataset is explained here: https://huggingface.co/docs/datasets/upload_dataset. Also, check https://huggingface.co/docs/datasets/image_dataset for a more detailed explanation of how to share an image dataset. | I have a dataset of 2500 images that can be used for color-blind machine-learning algorithms. Since , there was no dataset available online , I made this dataset myself and would like to contribute this now to community | 26 | Would like to Contribute a dataset
I have a dataset of 2500 images that can be used for color-blind machine-learning algorithms. Since , there was no dataset available online , I made this dataset myself and would like to contribute this now to community
Hi! The process of contributing a dataset is explained here: http... |
https://github.com/huggingface/datasets/issues/6252 | exif_transpose not done to Image (PIL problem) | Indeed, it makes sense to do this by default.
In the meantime, you can use `.with_transform` to transpose the images when accessing them:
```python
import PIL.ImageOps
def exif_transpose_transform(batch):
batch["image"] = [PIL.ImageOps.exif_transpose(image) for image in batch["image"]]
return batch
... | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | 41 | exif_transpose not done to Image (PIL problem)
### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for... |
https://github.com/huggingface/datasets/issues/6252 | exif_transpose not done to Image (PIL problem) | This operation sets some `Image` attributes to `None` (`.format`, `.filename`, etc.), causing our tests to fail, so I think we should wait for Datasets 3.0 to make this change. In version 3.0, storing image paths will be replaced by embedding image bytes, so there will be fewer instances where we use the `.filename` at... | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | 54 | exif_transpose not done to Image (PIL problem)
### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for... |
https://github.com/huggingface/datasets/issues/7570 | Dataset lib seems to broke after fssec lib update | Hi, can you try updating `datasets` ? Colab still installs `datasets` 2.x by default, instead of 3.x
It would be cool to also report this to google colab, they have a GitHub repo for this IIRC | ### Describe the bug
I am facing an issue since today where HF's dataset is acting weird and in some instances failure to recognise a valid dataset entirely, I think it is happening due to recent change in `fsspec` lib as using this command fixed it for me in one-time: `!pip install -U datasets huggingface_hub fsspec`... | 36 | Dataset lib seems to broke after fssec lib update
### Describe the bug
I am facing an issue since today where HF's dataset is acting weird and in some instances failure to recognise a valid dataset entirely, I think it is happening due to recent change in `fsspec` lib as using this command fixed it for me in one-time:... |
https://github.com/huggingface/datasets/issues/7570 | Dataset lib seems to broke after fssec lib update | @lhoestq I have updated it to `datasets==3.6.0` and now there's an entirely different issue on colab while locally its fine.
```
/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning:
The secret `HF_TOKEN` does not exist in your Colab secrets.
To authenticate with the Hugging Face Hu... | ### Describe the bug
I am facing an issue since today where HF's dataset is acting weird and in some instances failure to recognise a valid dataset entirely, I think it is happening due to recent change in `fsspec` lib as using this command fixed it for me in one-time: `!pip install -U datasets huggingface_hub fsspec`... | 244 | Dataset lib seems to broke after fssec lib update
### Describe the bug
I am facing an issue since today where HF's dataset is acting weird and in some instances failure to recognise a valid dataset entirely, I think it is happening due to recent change in `fsspec` lib as using this command fixed it for me in one-time:... |
https://github.com/huggingface/datasets/issues/7570 | Dataset lib seems to broke after fssec lib update | @lhoestq opps sorry the dataset was in .zst which was causing this error rather than being a datasets library fault. After upgrading dataset version Colab is working fine. | ### Describe the bug
I am facing an issue since today where HF's dataset is acting weird and in some instances failure to recognise a valid dataset entirely, I think it is happening due to recent change in `fsspec` lib as using this command fixed it for me in one-time: `!pip install -U datasets huggingface_hub fsspec`... | 28 | Dataset lib seems to broke after fssec lib update
### Describe the bug
I am facing an issue since today where HF's dataset is acting weird and in some instances failure to recognise a valid dataset entirely, I think it is happening due to recent change in `fsspec` lib as using this command fixed it for me in one-time:... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | It can fix the bug temporarily.
```python
from datasets import DownloadConfig
config = DownloadConfig(num_proc=8)
In [5]: dataset = load_dataset('Freed-Wu/kodak', split='test', download_config=config)
Downloading and preparing dataset kodak/default to /home/wzy/.cache/huggingface/datasets/Freed-Wu___kodak/default/... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 176 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | Thanks for reporting ! This sounds like an issue with python multiprocessing. If we switch to multithreading for the downloads it should be much more robust - let me know if this is something you'd like to contribute, I'd be happy to help and give you some pointers | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 48 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | > an issue with python multiprocessing
If it is an issue with multiprocessing, should we report it to upstream? | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 19 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | Debugging this would require quite some work in my opinion, and I've often failed to make reproducible examples, since it's pretty correlated to one's environment + hardware. So I wouldn't spend too much time on this unless we manage to reproduce this on another machine consistently.
Instead I'd encourage a more pra... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 75 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | I am not expert of python. I hear about python has GIL, which result in multi processing is worse than multi threading. So I am not sure if this change makes sense?
And if this is a bug of multi processing, why not report to upstream and let them fix? And even if change it to multi threading, how can we make sure it... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 69 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | > Just my 2c. No offense.
sure np ^^
> I hear about python has GIL, which result in multi processing is worse than multi threading. So I am not sure if this change makes sense?
Here the bottleneck speed is the bandwidth used to download the files. When downloading, the GIL is released, so multithreading gives ... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 179 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... |
https://github.com/huggingface/datasets/issues/4521 | Datasets method `.map` not hashing | Didn't realize it's a bug when I asked the question yesterday! Free free to post an answer if you are sure the cause has been addressed.
https://stackoverflow.com/questions/72664827/can-pickle-dill-foo-but-not-lambda-x-foox | ## Describe the bug
Datasets method `.map` not hashing, even with an empty no-op function
## Steps to reproduce the bug
```python
from datasets import load_dataset
# download 9MB dummy dataset
ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean")
def prepare_dataset(batch):
return(b... | 27 | Datasets method `.map` not hashing
## Describe the bug
Datasets method `.map` not hashing, even with an empty no-op function
## Steps to reproduce the bug
```python
from datasets import load_dataset
# download 9MB dummy dataset
ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean")
def pre... |
https://github.com/huggingface/datasets/issues/5295 | Extractions failed when .zip file located on read-only path (e.g., SageMaker FastFile mode) | Hi ! Thanks for reporting. Indeed the lock file should be placed in a directory with write permission (e.g. in the directory where the archive is extracted). | ### Describe the bug
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.
... | 27 | Extractions failed when .zip file located on read-only path (e.g., SageMaker FastFile mode)
### Describe the bug
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/... |
https://github.com/huggingface/datasets/issues/5295 | Extractions failed when .zip file located on read-only path (e.g., SageMaker FastFile mode) | I opened https://github.com/huggingface/datasets/pull/5320 to fix this - it places the lock file in the cache directory instead of trying to put in next to the ZIP where it's read-only | ### Describe the bug
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.
... | 29 | Extractions failed when .zip file located on read-only path (e.g., SageMaker FastFile mode)
### Describe the bug
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/... |
https://github.com/huggingface/datasets/issues/6798 | `DatasetBuilder._split_generators` incomplete type annotation | There is also the [`MockDownloadManager`](https://github.com/JonasLoos/datasets/blob/main/src/datasets/download/mock_download_manager.py#L33), which seems like it might get passed here too. However, to me, it doesn't really seem relevant to the users of the datasets library, so I would just ignore it. What do you think... | ### Describe the bug
The [`DatasetBuilder._split_generators`](https://github.com/huggingface/datasets/blob/0f27d7b77c73412cfc50b24354bfd7a3e838202f/src/datasets/builder.py#L1449) function has currently the following signature:
```python
class DatasetBuilder:
def _split_generators(self, dl_manager: DownloadMan... | 40 | `DatasetBuilder._split_generators` incomplete type annotation
### Describe the bug
The [`DatasetBuilder._split_generators`](https://github.com/huggingface/datasets/blob/0f27d7b77c73412cfc50b24354bfd7a3e838202f/src/datasets/builder.py#L1449) function has currently the following signature:
```python
class DatasetBui... |
https://github.com/huggingface/datasets/issues/6798 | `DatasetBuilder._split_generators` incomplete type annotation | The API (`dummy_data` CLI command ) that uses the `MockDownloadManager` has been deprecated, so ignoring it sounds good! | ### Describe the bug
The [`DatasetBuilder._split_generators`](https://github.com/huggingface/datasets/blob/0f27d7b77c73412cfc50b24354bfd7a3e838202f/src/datasets/builder.py#L1449) function has currently the following signature:
```python
class DatasetBuilder:
def _split_generators(self, dl_manager: DownloadMan... | 18 | `DatasetBuilder._split_generators` incomplete type annotation
### Describe the bug
The [`DatasetBuilder._split_generators`](https://github.com/huggingface/datasets/blob/0f27d7b77c73412cfc50b24354bfd7a3e838202f/src/datasets/builder.py#L1449) function has currently the following signature:
```python
class DatasetBui... |
https://github.com/huggingface/datasets/issues/4728 | load_dataset gives "403" error when using Financial Phrasebank | Hi @rohitvincent, thanks for reporting.
Unfortunately I'm not able to reproduce your issue:
```python
In [2]: from datasets import load_dataset, DownloadMode
...: load_dataset(path='financial_phrasebank',name='sentences_allagree', download_mode="force_redownload")
Downloading builder script: 6.04kB [00:00, 2.... | I tried both codes below to download the financial phrasebank dataset (https://huggingface.co/datasets/financial_phrasebank) with the sentences_allagree subset. However, the code gives a 403 error when executed from multiple machines locally or on the cloud.
```
from datasets import load_dataset, DownloadMode
load... | 97 | load_dataset gives "403" error when using Financial Phrasebank
I tried both codes below to download the financial phrasebank dataset (https://huggingface.co/datasets/financial_phrasebank) with the sentences_allagree subset. However, the code gives a 403 error when executed from multiple machines locally or on the cloud... |
https://github.com/huggingface/datasets/issues/4728 | load_dataset gives "403" error when using Financial Phrasebank | Yes was able to download from the link manually. But still, get the same error when I use load_dataset. | I tried both codes below to download the financial phrasebank dataset (https://huggingface.co/datasets/financial_phrasebank) with the sentences_allagree subset. However, the code gives a 403 error when executed from multiple machines locally or on the cloud.
```
from datasets import load_dataset, DownloadMode
load... | 19 | load_dataset gives "403" error when using Financial Phrasebank
I tried both codes below to download the financial phrasebank dataset (https://huggingface.co/datasets/financial_phrasebank) with the sentences_allagree subset. However, the code gives a 403 error when executed from multiple machines locally or on the cloud... |
https://github.com/huggingface/datasets/issues/7148 | Bug: Error when downloading mteb/mtop_domain | I am not able to reproduce the issue:
```python
In [1]: from datasets import load_dataset
In [2]: data = load_dataset("mteb/mtop_domain", "en")
In [3]: data
Out[3]: DatasetDict({
train: Dataset({
features: ['id', 'text', 'label', 'label_text'],
num_rows: 15667
})
validation: Da... | ### Describe the bug
When downloading the dataset "mteb/mtop_domain", ran into the following error:
```
Traceback (most recent call last):
File "/share/project/xzy/test/test_download.py", line 3, in <module>
data = load_dataset("mteb/mtop_domain", "en", trust_remote_code=True)
File "/opt/conda/lib/pytho... | 58 | Bug: Error when downloading mteb/mtop_domain
### Describe the bug
When downloading the dataset "mteb/mtop_domain", ran into the following error:
```
Traceback (most recent call last):
File "/share/project/xzy/test/test_download.py", line 3, in <module>
data = load_dataset("mteb/mtop_domain", "en", trust_re... |
https://github.com/huggingface/datasets/issues/5868 | Is it possible to change a cached file and 're-cache' it instead of re-generating? | Arrow files/primitives (tables and arrays) are immutable, so re-generating them is the only option, I'm afraid. | ### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | 16 | Is it possible to change a cached file and 're-cache' it instead of re-generating?
### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
#... |
https://github.com/huggingface/datasets/issues/7682 | Fail to cast Audio feature for numpy arrays in datasets 4.0.0 | > thanks for reporting, I opened a PR and I'll make a patch release soon
Thank you very much @lhoestq! | ### Describe the bug
Casting features with Audio for numpy arrays - done here with `ds.map(gen_sine, features=features)` fails
in version 4.0.0 but not in version 3.6.0
### Steps to reproduce the bug
The following `uv script` should be able to reproduce the bug in version 4.0.0
and pass in version 3.6.0 on a macOS ... | 20 | Fail to cast Audio feature for numpy arrays in datasets 4.0.0
### Describe the bug
Casting features with Audio for numpy arrays - done here with `ds.map(gen_sine, features=features)` fails
in version 4.0.0 but not in version 3.6.0
### Steps to reproduce the bug
The following `uv script` should be able to reproduce ... |
https://github.com/huggingface/datasets/issues/4304 | Language code search does direct matches | Thanks for reporting ! I forwarded the issue to the front-end team :)
Will keep you posted !
I also changed the tagging app to suggest two letters code for now. | ## Describe the bug
Hi. Searching for bcp47 tags that are just the language prefix (e.g. `sq` or `da`) excludes datasets that have added extra information in their language metadata (e.g. `sq-AL` or `da-bornholm`). The example codes given in the [tagging app](https://huggingface.co/spaces/huggingface/datasets-taggin... | 31 | Language code search does direct matches
## Describe the bug
Hi. Searching for bcp47 tags that are just the language prefix (e.g. `sq` or `da`) excludes datasets that have added extra information in their language metadata (e.g. `sq-AL` or `da-bornholm`). The example codes given in the [tagging app](https://huggingf... |
https://github.com/huggingface/datasets/issues/5361 | How concatenate `Audio` elements using batch mapping | You can try something like this ?
```python
def mapper_function(batch):
return {"concatenated_audio": [np.concatenate([audio["array"] for audio in batch["audio"]])]}
dataset = dataset.map(
mapper_function,
batched=True,
batch_size=3,
remove_columns=list(dataset.features),
)
``` | ### Describe the bug
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... | 26 | How concatenate `Audio` elements using batch mapping
### Describe the bug
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.... |
https://github.com/huggingface/datasets/issues/5361 | How concatenate `Audio` elements using batch mapping | Thanks for the snippet!
One more question. I wonder why those two mappers are working so different that one taking 4 sec while other taking over 1 min :
```python
%%time
def mapper_function1(batch):
# list_audio
return {
"audio": [
{
"array": np.concatenate([audi... | ### Describe the bug
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... | 144 | How concatenate `Audio` elements using batch mapping
### Describe the bug
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.... |
https://github.com/huggingface/datasets/issues/5361 | How concatenate `Audio` elements using batch mapping | In the first one you get a dataset with an Audio type, and in the second one you get a dataset with a sequence of floats type.
The Audio type encodes the data as WAV to save disk space, so it takes more time to create.
The Audio type is automatically inferred because you modify the column "audio" which was already ... | ### Describe the bug
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... | 84 | How concatenate `Audio` elements using batch mapping
### Describe the bug
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.... |
https://github.com/huggingface/datasets/issues/4124 | Image decoding often fails when transforming Image datasets | A quick hack I have found is that we can call the image first before running the transforms and it makes sure the image is decoded before being passed on.
For this I just needed to add `example['img'] = example['img']` to the top of my `generate_flipped_data` function, defined above, so that image decode in invoked.... | ## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | 163 | Image decoding often fails when transforming Image datasets
## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image dec... |
https://github.com/huggingface/datasets/issues/4124 | Image decoding often fails when transforming Image datasets | Hi @RafayAK, thanks for reporting.
Current implementation of the Image feature performs the decoding only if the "img" field is accessed by the mapped function.
In your original `generate_flipped_data` function:
- it only accesses the "img" field (and thus performs decoding) if `rng.random() > p`;
- on the othe... | ## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | 237 | Image decoding often fails when transforming Image datasets
## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image dec... |
https://github.com/huggingface/datasets/issues/4124 | Image decoding often fails when transforming Image datasets | @albertvillanova Thanks for letting me know this is intended behavior. The docs are severely lacking on this, if I hadn't posted this here I would have never found out how I'm actually supposed to modify images in a Dataset object. | ## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | 40 | Image decoding often fails when transforming Image datasets
## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image dec... |
https://github.com/huggingface/datasets/issues/4124 | Image decoding often fails when transforming Image datasets | @albertvillanova Secondly if you check the error message it shows that around 1999 images were successfully created, I'm pretty sure some of them were also flipped during the process. Back to my main contention, sometimes the decoding takes place other times it fails.
I suppose to run `map` on any dataset all the e... | ## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | 71 | Image decoding often fails when transforming Image datasets
## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image dec... |
https://github.com/huggingface/datasets/issues/4124 | Image decoding often fails when transforming Image datasets | Hi @RafayAK! I've opened a PR with the fix, which adds a fallback to reattempt casting to PyArrow format with a more robust (but more expensive) procedure if the first attempt fails. Feel free to test it by installing `datasets` from the PR branch with the following command:
```
pip install git+https://github.com/hug... | ## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | 53 | Image decoding often fails when transforming Image datasets
## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image dec... |
https://github.com/huggingface/datasets/issues/4124 | Image decoding often fails when transforming Image datasets | @mariosasko Thanks a lot for looking into this, now the `map` function at least behaves as one would expect a function to behave.
Looking forward to exploring Hugging Face more and even contributing 😃.
```bash
$ conda list | grep datasets
datasets 2.0.1.dev0 pypi_0 pypi
`... | ## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | 245 | Image decoding often fails when transforming Image datasets
## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image dec... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | Hi ! We're using the Arrow format for the datasets, and PyArrow tensors are not part of the Arrow format AFAIK:
> There is no direct support in the arrow columnar format to store Tensors as column values.
source: https://github.com/apache/arrow/issues/4802#issuecomment-508494694 | ### 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... | 40 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | @wesm @rok its been around three years. any updates, regarding dataset arrow tensor support? 🙏 I know you must be very busy, would appreciate to learn what is the state of art. I saw the PR is still open [#8510](https://github.com/apache/arrow/pull/8510) | ### 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... | 40 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | Hey @franz101 & @lhoestq!
There is a plan and a PR to create an [ExtensionArray of Tensors](https://github.com/apache/arrow/pull/8510) of equal sizes as well as a plan to do the same for Tensors of different sizes [ARROW-8714](https://issues.apache.org/jira/browse/ARROW-8714). | ### 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... | 35 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | The work stalled a little because it was not clear where TensorArray would live. However Arrow community recently agreed to make a [well-known-extension-type document](https://lists.apache.org/thread/sxd5fhc42hb6svs79t3fd79gkqj83pfh) and I would like https://github.com/apache/arrow/pull/8510 to land there and add an im... | ### 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... | 50 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | that is a great update, thank you.
it looks like this feature would benefit datasets implementation of [ArrayExtensionArray](https://github.com/huggingface/datasets/blob/9f2ff14673cac1f1ad56d80221a793f5938b68c7/src/datasets/features/features.py#L585-L641). Is that correct @eladsegal @lhoestq?
| ### 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... | 23 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | TensorArray sounds great ! Looking forward to it :)
We've had our own ExtensionArray for fixed shape tensors for a while now, hoping to see something more standardized by the arrow community.
Also super interested in the extension array for tensors of different sizes cc @mariosasko | ### 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... | 46 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | @rok Thanks for keeping us updated! I think it's best to introduce a new feature type that would use this extension type under the hood. I'll create an issue to discuss the design with the community in the coming days.
Also, is there a tentative time frame for the variable-shape Tensor extension type? | ### 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... | 53 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | @mariosasko please tag me in the discussion, perhaps I can contribute.
As for the [variable shape tensor array](https://github.com/apache/arrow/issues/24868) - I'd be interested in working on it but didn't see much interest in community yet. Are you saying `huggingface/datasets` could use it? | ### 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... | 41 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | pyarrow 12 is out 🎉, will have a look if I can work on it for the ExtensionArray | ### 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... | 18 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | I think these two issues need to be fixed first on the Arrow side before adding the tensor feature type here: https://github.com/apache/arrow/issues/35573 and https://github.com/apache/arrow/issues/35599.
@rok We've had a couple of requests for supporting variable-shape tensors on the forum/GH, but I did not manage ... | ### 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... | 82 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | > @rok We've had a couple of requests for supporting variable-shape tensors on the forum/GH, but I did not manage to find the concrete issues using the search. TF/TFDS (and PyTorch with the `nested_tensor` API) support them, so it makes sense for us to do the same eventually (the Ray project has an [extension](https://... | ### 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... | 79 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | Not with with the Arrow format, and therefore not in `datasets`. But they released a new [FixedShapeTensorArray](https://arrow.apache.org/docs/python/extending_types.html#fixed-size-tensor) to store tensors in Arrow format. We plan to support this in `datasets` at one point ! | ### 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... | 34 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | There is also an open issue to enable the conversion of `pyarrow.Tensor` to `pyarrow.FixedShapeTensorType`: https://github.com/apache/arrow/issues/35068. This way one could indirectly use `pyarrow.Tensor` in Arrow format. | ### 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... | 25 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | We started a [mailing list discussion](https://lists.apache.org/thread/qc9qho0fg5ph1dns4hjq56hp4tj7rk1k) about potential `VariableShapeTensor` extension array, please check it out and give feedback. For more details here's also a PR https://github.com/apache/arrow/pull/37166. | ### 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... | 26 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | Short update - the prerequisite C++ work has been merged (https://github.com/apache/arrow/issues/38007) and I'm working on the Python wrapper (https://github.com/apache/arrow/pull/40354) so this will hopefully be out with next release (April-ish) | ### 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... | 29 | Use pyarrow Tensor dtype
### 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_... |
https://github.com/huggingface/datasets/issues/5627 | Unable to load AutoTrain-generated dataset from the hub | The AutoTrain format is not supported right now. I think it would require a dedicated dataset builder | ### Describe the bug
DatasetGenerationError: An error occurred while generating the dataset -> ValueError: Couldn't cast ... because column names don't match
```
ValueError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: struct<filename: string>
child 0, filename: string
... | 17 | Unable to load AutoTrain-generated dataset from the hub
### Describe the bug
DatasetGenerationError: An error occurred while generating the dataset -> ValueError: Couldn't cast ... because column names don't match
```
ValueError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: st... |
https://github.com/huggingface/datasets/issues/5627 | Unable to load AutoTrain-generated dataset from the hub | Okay, good to know. Thanks for the reply. For now I will just have to
manage the split manually before training, because I can’t find any way of
pulling out file indices or file names from the autogenerated split. The
file names field of the image dataset (loaded directly from arrow file) is
missing, just fyi (for anyo... | ### Describe the bug
DatasetGenerationError: An error occurred while generating the dataset -> ValueError: Couldn't cast ... because column names don't match
```
ValueError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: struct<filename: string>
child 0, filename: string
... | 131 | Unable to load AutoTrain-generated dataset from the hub
### Describe the bug
DatasetGenerationError: An error occurred while generating the dataset -> ValueError: Couldn't cast ... because column names don't match
```
ValueError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: st... |
https://github.com/huggingface/datasets/issues/5600 | Dataloader getitem not working for DreamboothDatasets | Hi!
> (see example of DreamboothDatasets)
Could you please provide a link to it? If you are referring to the example in the `diffusers` repo, your issue is unrelated to `datasets` as that example uses `Dataset` from PyTorch to load data. | ### Describe the bug
Dataloader getitem is not working as before (see example of [DreamboothDatasets](https://github.com/huggingface/peft/blob/main/examples/lora_dreambooth/train_dreambooth.py#L451C14-L529))
moving Datasets to 2.8.0 solved the issue.
### Steps to reproduce the bug
1- using DreamBoothDataset ... | 41 | Dataloader getitem not working for DreamboothDatasets
### Describe the bug
Dataloader getitem is not working as before (see example of [DreamboothDatasets](https://github.com/huggingface/peft/blob/main/examples/lora_dreambooth/train_dreambooth.py#L451C14-L529))
moving Datasets to 2.8.0 solved the issue.
### Ste... |
https://github.com/huggingface/datasets/issues/6400 | Safely load datasets by disabling execution of dataset loading script | great idea IMO
this could be a `trust_remote_code=True` flag like in transformers. We could also default to loading the Parquet conversion rather than executing code (for dataset repos that have both) | ### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation
This is a security vulnerability that could lead to arbitrary code e... | 31 | Safely load datasets by disabling execution of dataset loading script
### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation... |
https://github.com/huggingface/datasets/issues/6400 | Safely load datasets by disabling execution of dataset loading script | We added the `trust_remote_code` argument to `load_dataset()` in `datasets` 2.16:
- in the future users will have to pass trust_remote_code=True to use datasets with a script
- for now we just show a warning when a dataset script is used
- we fallback on the Hugging Face Parquet exports when possible (to keep compat... | ### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation
This is a security vulnerability that could lead to arbitrary code e... | 76 | Safely load datasets by disabling execution of dataset loading script
### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation... |
https://github.com/huggingface/datasets/issues/5833 | Unable to push dataset - `create_pr` problem | Thanks for reporting, @agombert.
In this case, I think the root issue is authentication: before pushing to Hub, you should authenticate. See our docs: https://huggingface.co/docs/datasets/upload_dataset#upload-with-python
> 2. To upload a dataset on the Hub in Python, you need to log in to your Hugging Face account... | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 50 | Unable to push dataset - `create_pr` problem
### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
... |
https://github.com/huggingface/datasets/issues/5833 | Unable to push dataset - `create_pr` problem | Hey @albertvillanova well I actually did :D
<img width="1079" alt="Capture d’écran 2023-05-09 à 18 02 58" src="https://github.com/huggingface/datasets/assets/17645711/e091aa20-06b1-4dd3-bfdb-35e832c66f8d">
| ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 17 | Unable to push dataset - `create_pr` problem
### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
... |
https://github.com/huggingface/datasets/issues/5833 | Unable to push dataset - `create_pr` problem | That is weird that you get a Forbidden error if you are properly authenticated...
Today we had a big outage issue affecting the Hugging Face Hub. Could you please retry to push_to_hub your dataset? Maybe that was the cause... | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 39 | Unable to push dataset - `create_pr` problem
### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
... |
https://github.com/huggingface/datasets/issues/5833 | Unable to push dataset - `create_pr` problem | Login successful but also got this error "Forbidden: pass `create_pr=1` as a query parameter to create a Pull Request" | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 19 | Unable to push dataset - `create_pr` problem
### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
... |
https://github.com/huggingface/datasets/issues/5833 | Unable to push dataset - `create_pr` problem | Make sure your API token has a `write` role. I had the same issue as you with the `read` token. Creating a `write` token and using that solved the issue. | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 30 | Unable to push dataset - `create_pr` problem
### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
... |
https://github.com/huggingface/datasets/issues/5833 | Unable to push dataset - `create_pr` problem | > Make sure your API token has a `write` role. I had the same issue as you with the `read` token. Creating a `write` token and using that solved the issue.
I generate a token with write role. It works! thank you so much. | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 44 | Unable to push dataset - `create_pr` problem
### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
... |
https://github.com/huggingface/datasets/issues/5833 | Unable to push dataset - `create_pr` problem | @dmitrijsk amazing thanks so much !
The error should be clearer when the token is read-only – I wasted a lot of time there.. | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 24 | Unable to push dataset - `create_pr` problem
### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
... |
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