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https://github.com/huggingface/datasets/issues/6014 | Request to Share/Update Dataset Viewer Code | For the frontend viewer, see https://github.com/huggingface/datasets/issues/6139.
Also mentioned in https://github.com/huggingface/datasets-server/issues/213 and https://github.com/huggingface/datasets-server/issues/441
Closing as a duplicate of https://github.com/huggingface/datasets/issues/6139 |
Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of documentation of that attribute.
Request:
I k... | 18 | Request to Share/Update Dataset Viewer Code
Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of docume... |
https://github.com/huggingface/datasets/issues/6014 | Request to Share/Update Dataset Viewer Code | Hi team,
I'm currently researching the Dataset Viewer project and would like to understand more about the frontend technologies used. Specifically, I'm interested in knowing:
Which frontend framework is being utilized (e.g., React, Vue, etc.)?
Are there any specific libraries or components being used for UI (e.g... |
Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of documentation of that attribute.
Request:
I k... | 82 | Request to Share/Update Dataset Viewer Code
Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of docume... |
https://github.com/huggingface/datasets/issues/6622 | multi-GPU map does not work | This should now be fixed by https://github.com/huggingface/datasets/pull/6550 and updated with https://github.com/huggingface/datasets/pull/6646
Feel free to re-open if you're still having issues :) | ### Describe the bug
Here is the code for single-GPU processing: https://pastebin.com/bfmEeK2y
Here is the code for multi-GPU processing: https://pastebin.com/gQ7i5AQy
Here is the video showing that the multi-GPU mapping does not work as expected (there are so many things wrong here, it's better to watch the 3-min... | 21 | multi-GPU map does not work
### Describe the bug
Here is the code for single-GPU processing: https://pastebin.com/bfmEeK2y
Here is the code for multi-GPU processing: https://pastebin.com/gQ7i5AQy
Here is the video showing that the multi-GPU mapping does not work as expected (there are so many things wrong here, it... |
https://github.com/huggingface/datasets/issues/3268 | Dataset viewer issue for 'liweili/c4_200m' | Hi ! I think the issue comes from this [line](https://huggingface.co/datasets/liweili/c4_200m/blob/main/c4_200m.py#L87):
```python
path = filepath + "/*.tsv*"
```
You can fix this by doing this instead:
```python
path = os.path.join(filepath, "/*.tsv*")
```
Here is why:
Locally you can append `"/*.tsv*"`... | ## Dataset viewer issue for '*liweili/c4_200m*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/liweili/c4_200m)*
*Server Error*
```
Status code: 404
Exception: Status404Error
Message: Not found. Maybe the cache is missing, or maybe the ressource does not exist.
```
... | 149 | Dataset viewer issue for 'liweili/c4_200m'
## Dataset viewer issue for '*liweili/c4_200m*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/liweili/c4_200m)*
*Server Error*
```
Status code: 404
Exception: Status404Error
Message: Not found. Maybe the cache is missing, or... |
https://github.com/huggingface/datasets/issues/3268 | Dataset viewer issue for 'liweili/c4_200m' | hi @lhoestq ! thanks for the tip! i've updated the line of code but it's still not working. am i doing something else wrong? thank you! | ## Dataset viewer issue for '*liweili/c4_200m*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/liweili/c4_200m)*
*Server Error*
```
Status code: 404
Exception: Status404Error
Message: Not found. Maybe the cache is missing, or maybe the ressource does not exist.
```
... | 26 | Dataset viewer issue for 'liweili/c4_200m'
## Dataset viewer issue for '*liweili/c4_200m*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/liweili/c4_200m)*
*Server Error*
```
Status code: 404
Exception: Status404Error
Message: Not found. Maybe the cache is missing, or... |
https://github.com/huggingface/datasets/issues/3268 | Dataset viewer issue for 'liweili/c4_200m' | Hi ! Your dataset code is all good now :)
```python
In [1]: from datasets import load_dataset
In [2]: d = load_dataset("liweili/c4_200m", streaming=True)
Downloading: 100%|βββββββββββββββββββββββββββββββββββββββββββββ| 2.79k/2.79k [00:00<00:00, 4.83MB/s]
Using custom data configuration default
In [3]: next(it... | ## Dataset viewer issue for '*liweili/c4_200m*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/liweili/c4_200m)*
*Server Error*
```
Status code: 404
Exception: Status404Error
Message: Not found. Maybe the cache is missing, or maybe the ressource does not exist.
```
... | 73 | Dataset viewer issue for 'liweili/c4_200m'
## Dataset viewer issue for '*liweili/c4_200m*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/liweili/c4_200m)*
*Server Error*
```
Status code: 404
Exception: Status404Error
Message: Not found. Maybe the cache is missing, or... |
https://github.com/huggingface/datasets/issues/6292 | how to load the image of dtype float32 or float64 | Hi! Can you provide a code that reproduces the issue?
Also, which version of `datasets` are you using? You can check this by running `python -c "import datasets; print(datasets.__version__)"` inside the env. We added support for "float images" in `datasets 2.9`. | _FEATURES = datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data? | 41 | how to load the image of dtype float32 or float64
_FEATURES = datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data?
Hi! Can you provide a code that reproduces the iss... |
https://github.com/huggingface/datasets/issues/5345 | Wrong dtype for array in audio features | After some more investigation, this is due to [this line of code](https://github.com/huggingface/datasets/blob/main/src/datasets/features/audio.py#L279). The function `sf.read(file)` should be updated to `sf.read(file, dtype="float32")`
Indeed, the default value in soundfile is `float64` ([see here](https://pysoundf... | ### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | 31 | Wrong dtype for array in audio features
### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets... |
https://github.com/huggingface/datasets/issues/5345 | Wrong dtype for array in audio features | @qmeeus I agree, decoding of different audio formats should return the same dtypes indeed!
But note that here you are concatenating datasets with different sampling rates: 48000 for CommonVoice and 16000 for Voxpopuli. So you should cast them to the same sampling rate value before interleaving, for example:
```
cv... | ### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | 115 | Wrong dtype for array in audio features
### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets... |
https://github.com/huggingface/datasets/issues/5345 | Wrong dtype for array in audio features | Hi Polina,
Sorry for the late answer
It is possible that the issue was due to a bug that is now fixed. I installed an editable version of datasets from github, but I don't recall whether I had updated it at the time of the issue. My research led me to other directions so I did not follow through on the interleave dat... | ### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | 63 | Wrong dtype for array in audio features
### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets... |
https://github.com/huggingface/datasets/issues/4376 | irc_disentagle viewer error | DUPLICATED comment from https://github.com/huggingface/datasets/issues/3807:
my code:
```
from datasets import load_dataset
dataset = load_dataset("irc_disentangle", download_mode="force_redownload")
```
however, it produces the same error
```
[38](file:///Library/Frameworks/Python.framework/Versions/3.8/li... | the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
```
it appears to give the same message for the "channel_two" data as well.
I get a Checksums error when usi... | 193 | irc_disentagle viewer error
the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
```
it appears to give the same message for the "channel_two" data as well.
I ge... |
https://github.com/huggingface/datasets/issues/4376 | irc_disentagle viewer error | The issue with checksum and empty dataset has been fixed by:
- #4377
To load the dataset, you should force the re-generation of the dataset from the downloaded file by passing `download_mode="reuse_cache_if_exists"` to `load_dataset`.
In relation with the issue with the dataset viewer, first the dataset should b... | the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
```
it appears to give the same message for the "channel_two" data as well.
I get a Checksums error when usi... | 52 | irc_disentagle viewer error
the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
```
it appears to give the same message for the "channel_two" data as well.
I ge... |
https://github.com/huggingface/datasets/issues/4376 | irc_disentagle viewer error | Hi there,
I see this issue is closed, but I am wondering if there is any chance the source files have been moved since this fix? I am stumbling into the same NonMatchingChecksumError noted by lebouz's second post once 118MB of data has been downloaded, and have tried the solutions noted in the various fix checksum po... | the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
```
it appears to give the same message for the "channel_two" data as well.
I get a Checksums error when usi... | 73 | irc_disentagle viewer error
the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
```
it appears to give the same message for the "channel_two" data as well.
I ge... |
https://github.com/huggingface/datasets/issues/5610 | use datasets streaming mode in trainer ddp mode cause memory leak | Same problem,
transformers 4.28.1
datasets 2.12.0
leak around 100Mb per 10 seconds when use dataloader_num_werker > 0 in training argumennts for transformer train, possile bug in transformers repo, but still not found solution :(
| ### Describe the bug
use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data import Dataset, DataLoader, random_split, RandomSampler, Sequenti... | 34 | use datasets streaming mode in trainer ddp mode cause memory leak
### Describe the bug
use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data... |
https://github.com/huggingface/datasets/issues/5610 | use datasets streaming mode in trainer ddp mode cause memory leak | found an article described a problem, may be helpful for somebody:
https://ppwwyyxx.com/blog/2022/Demystify-RAM-Usage-in-Multiprocess-DataLoader/
I confirm, it`s not memory leak, after some time memory growing has stopped | ### Describe the bug
use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data import Dataset, DataLoader, random_split, RandomSampler, Sequenti... | 25 | use datasets streaming mode in trainer ddp mode cause memory leak
### Describe the bug
use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data... |
https://github.com/huggingface/datasets/issues/5610 | use datasets streaming mode in trainer ddp mode cause memory leak | "After some time" - from your description, it sounds like memory growth can happen for 12 hours+, even days, before it stops? That seems very scary. | ### Describe the bug
use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data import Dataset, DataLoader, random_split, RandomSampler, Sequenti... | 26 | use datasets streaming mode in trainer ddp mode cause memory leak
### Describe the bug
use datasets streaming mode in trainer ddp mode cause memory leak
### Steps to reproduce the bug
import os
import time
import datetime
import sys
import numpy as np
import random
import torch
from torch.utils.data... |
https://github.com/huggingface/datasets/issues/5304 | timit_asr doesn't load the test split. | The [timit_asr.py](https://huggingface.co/datasets/timit_asr/blob/main/timit_asr.py) script iterates over the WAV files per split directory using this:
```python
wav_paths = sorted(Path(data_dir).glob(f"**/{split}/**/*.wav"))
wav_paths = wav_paths if wav_paths else sorted(Path(data_dir).glob(f"**/{split.upper()}/**/... | ### Describe the bug
When I use the function ```timit = load_dataset('timit_asr', data_dir=data_dir)```, it only loads train split, not test split.
I tried to change the directory and filename to lower case to upper case for the test split, but it does not work at all.
```python
DatasetDict({
train: Datase... | 42 | timit_asr doesn't load the test split.
### Describe the bug
When I use the function ```timit = load_dataset('timit_asr', data_dir=data_dir)```, it only loads train split, not test split.
I tried to change the directory and filename to lower case to upper case for the test split, but it does not work at all.
```p... |
https://github.com/huggingface/datasets/issues/7311 | How to get the original dataset name with username? | Hi ! why not pass the dataset id to Ray and let it check the parquet files ? Or pass the parquet files lists directly ? | ### Feature request
The issue is related to ray data https://github.com/ray-project/ray/issues/49008 which it requires to check if the dataset is the original one just after `load_dataset` and parquet files are already available on hf hub.
The solution used now is to get the dataset name, config and split, then `... | 26 | How to get the original dataset name with username?
### Feature request
The issue is related to ray data https://github.com/ray-project/ray/issues/49008 which it requires to check if the dataset is the original one just after `load_dataset` and parquet files are already available on hf hub.
The solution used now ... |
https://github.com/huggingface/datasets/issues/7311 | How to get the original dataset name with username? | I'm not sure why ray design an API like this to accept a `Dataset` object, so they need to verify the `Dataset` is the original one and use the `DatasetInfo` to query the huggingface hub. I'll advise the ray data team to use dataset id instead of dataset for the `HuggingFaceDatasource` API. | ### Feature request
The issue is related to ray data https://github.com/ray-project/ray/issues/49008 which it requires to check if the dataset is the original one just after `load_dataset` and parquet files are already available on hf hub.
The solution used now is to get the dataset name, config and split, then `... | 52 | How to get the original dataset name with username?
### Feature request
The issue is related to ray data https://github.com/ray-project/ray/issues/49008 which it requires to check if the dataset is the original one just after `load_dataset` and parquet files are already available on hf hub.
The solution used now ... |
https://github.com/huggingface/datasets/issues/6949 | load_dataset error | Hi, @lion-ops.
In our Continuous Integration we have many tests on loading JSON files and all of them work properly.
Could you please share your "train.json" file, so that we can try to reproduce the issue you have? | ### Describe the bug
Why does the program get stuck when I use load_dataset method, and it still gets stuck after loading for several hours? In fact, my json file is only 21m, and I can load it in one go using open('', 'r').
### Steps to reproduce the bug
1. pip install datasets==2.19.2
2. from datasets import Data... | 38 | load_dataset error
### Describe the bug
Why does the program get stuck when I use load_dataset method, and it still gets stuck after loading for several hours? In fact, my json file is only 21m, and I can load it in one go using open('', 'r').
### Steps to reproduce the bug
1. pip install datasets==2.19.2
2. from d... |
https://github.com/huggingface/datasets/issues/6949 | load_dataset error | > Hi, @lion-ops.
>
> In our Continuous Integration we have many tests on loading JSON files and all of them work properly.
>
> Could you please share your "train.json" file, so that we can try to reproduce the issue you have?
Thank you for your reply. I can load it normally in another server. Is it possible th... | ### Describe the bug
Why does the program get stuck when I use load_dataset method, and it still gets stuck after loading for several hours? In fact, my json file is only 21m, and I can load it in one go using open('', 'r').
### Steps to reproduce the bug
1. pip install datasets==2.19.2
2. from datasets import Data... | 83 | load_dataset error
### Describe the bug
Why does the program get stuck when I use load_dataset method, and it still gets stuck after loading for several hours? In fact, my json file is only 21m, and I can load it in one go using open('', 'r').
### Steps to reproduce the bug
1. pip install datasets==2.19.2
2. from d... |
https://github.com/huggingface/datasets/issues/3854 | load only England English dataset from common voice english dataset | Hi @amanjaiswal777,
First note that the dataset you are trying to load is deprecated: it was the Common Voice dataset release as of Dec 2020.
Currently, Common Voice dataset releases are directly hosted on the Hub, under the Mozilla Foundation organization: https://huggingface.co/mozilla-foundation
For example... | training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England English." Can somebody assist me with this?
**Typical Voice Accent Prop... | 172 | load only England English dataset from common voice english dataset
training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England Englis... |
https://github.com/huggingface/datasets/issues/3854 | load only England English dataset from common voice english dataset | Hey @albertvillanova trying the same approach as you with the common_voice_16_1 dataset. What I'm trying to do is to filter the valencian accent in the catalan subset. Gave me this error and I have everything it asks for decoding mp3:
![image](https://github.com/huggingface/datasets/assets/96977715/7ec02483-e728-4358-... | training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England English." Can somebody assist me with this?
**Typical Voice Accent Prop... | 42 | load only England English dataset from common voice english dataset
training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England Englis... |
https://github.com/huggingface/datasets/issues/3618 | TIMIT Dataset not working with GPU | Hi ! I think you should avoid calling `timit_train['audio']`. Indeed by doing so you're **loading all the audio column in memory**. This is problematic in your case because the TIMIT dataset is huge.
If you want to access the audio data of some samples, you should do this instead `timit_train[:10]["train"]` for exam... | ## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimized) environment, with a single ml.g4... | 84 | TIMIT Dataset not working with GPU
## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimize... |
https://github.com/huggingface/datasets/issues/3618 | TIMIT Dataset not working with GPU | I get the same error when I try to do `timit_train[0]` or really any indexing into the whole thing.
Really, that IS the code snippet that reproduces the issue. If you index into other fields like 'file' or whatever, it works. As soon as one of the fields you're looking into is 'audio', you get that issue. It's a we... | ## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimized) environment, with a single ml.g4... | 93 | TIMIT Dataset not working with GPU
## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimize... |
https://github.com/huggingface/datasets/issues/3618 | TIMIT Dataset not working with GPU | Ok I see ! From the error you got, it looks like the `value` encoded in the arrow file of the TIMIT dataset you loaded is a string instead of a dictionary with keys "path" and "bytes" but we don't support this since 1.18
Can you try regenerating the dataset with `load_dataset('timit_asr', download_mode="force_redown... | ## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimized) environment, with a single ml.g4... | 62 | TIMIT Dataset not working with GPU
## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimize... |
https://github.com/huggingface/datasets/issues/4349 | Dataset.map()'s fails at any value of parameter writer_batch_size | Note that this same issue occurs even if i preprocess with the more default way of tokenizing that uses LayoutLMv2Processor's internal OCR:
```python
feature_extractor = LayoutLMv2FeatureExtractor()
tokenizer = LayoutLMv2Tokenizer.from_pretrained("microsoft/layoutlmv2-base-uncased")
proces... | ## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
Context:
I am attempting to fine-tune a pre-trained HuggingFace tr... | 45 | Dataset.map()'s fails at any value of parameter writer_batch_size
## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
... |
https://github.com/huggingface/datasets/issues/4349 | Dataset.map()'s fails at any value of parameter writer_batch_size | Did you close it because you found that it was due to the incorrect Feature types ? | ## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
Context:
I am attempting to fine-tune a pre-trained HuggingFace tr... | 17 | Dataset.map()'s fails at any value of parameter writer_batch_size
## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
... |
https://github.com/huggingface/datasets/issues/4349 | Dataset.map()'s fails at any value of parameter writer_batch_size | Yeah-- my analysis of the issue was wrong in this one so I just closed it while linking to the new issue | ## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
Context:
I am attempting to fine-tune a pre-trained HuggingFace tr... | 22 | Dataset.map()'s fails at any value of parameter writer_batch_size
## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
... |
https://github.com/huggingface/datasets/issues/4349 | Dataset.map()'s fails at any value of parameter writer_batch_size | I met with the same problem when doing some experiments about layoutlm. I tried to set the writer_batch_size to 1, and the error still exists. Is there any solutions to this problem? | ## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
Context:
I am attempting to fine-tune a pre-trained HuggingFace tr... | 32 | Dataset.map()'s fails at any value of parameter writer_batch_size
## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
... |
https://github.com/huggingface/datasets/issues/4349 | Dataset.map()'s fails at any value of parameter writer_batch_size | The problem lies in how your Features are defined. It's erroring out when it actually goes to write them to disk | ## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
Context:
I am attempting to fine-tune a pre-trained HuggingFace tr... | 21 | Dataset.map()'s fails at any value of parameter writer_batch_size
## Describe the bug
If the the value of `writer_batch_size` is less than the total number of instances in the dataset it will fail at that same number of instances. If it is greater than the total number of instances, it fails on the last instance.
... |
https://github.com/huggingface/datasets/issues/7739 | Replacement of "Sequence" feature with "List" breaks backward compatibility | Backward compatibility here means 4.0.0 can load datasets saved with older versions.
You will need 4.0.0 to load datasets saved with 4.0.0 | PR #7634 replaced the Sequence feature with List in 4.0.0, so datasets saved with version 4.0.0 with that feature cannot be loaded by earlier versions. There is no clear option in 4.0.0 to use the legacy feature type to preserve backward compatibility.
Why is this a problem? I have a complex preprocessing and training... | 22 | Replacement of "Sequence" feature with "List" breaks backward compatibility
PR #7634 replaced the Sequence feature with List in 4.0.0, so datasets saved with version 4.0.0 with that feature cannot be loaded by earlier versions. There is no clear option in 4.0.0 to use the legacy feature type to preserve backward compat... |
https://github.com/huggingface/datasets/issues/7305 | Build Documentation Test Fails Due to "Bad Credentials" Error | > how were you able to fix this please?
I was not able to fix this. | ### Describe the bug
The `Build documentation / build / build_main_documentation (push)` job is consistently failing during the "Syncing repository" step. The error occurs when attempting to determine the default branch name, resulting in "Bad credentials" errors.
### Steps to reproduce the bug
1. Trigger the `build... | 16 | Build Documentation Test Fails Due to "Bad Credentials" Error
### Describe the bug
The `Build documentation / build / build_main_documentation (push)` job is consistently failing during the "Syncing repository" step. The error occurs when attempting to determine the default branch name, resulting in "Bad credentials"... |
https://github.com/huggingface/datasets/issues/6308 | module 'resource' has no attribute 'error' | This (Windows) issue was fixed in `fsspec` in https://github.com/fsspec/filesystem_spec/pull/1275. So, to avoid the error, update the `fsspec` installation with `pip install -U fsspec`. | ### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | 23 | module 'resource' has no attribute 'error'
### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\... |
https://github.com/huggingface/datasets/issues/6308 | module 'resource' has no attribute 'error' | > This (Windows) issue was fixed in `fsspec` in [fsspec/filesystem_spec#1275](https://github.com/fsspec/filesystem_spec/pull/1275). So, to avoid the error, update the `fsspec` installation with `pip install -U fsspec`.
after I run `pip install -U fsspec`
it occurs a new error:
```
ERROR: pip's dependency resolv... | ### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | 77 | module 'resource' has no attribute 'error'
### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\... |
https://github.com/huggingface/datasets/issues/6308 | module 'resource' has no attribute 'error' | The `fsspec<2023.9.0` upper bound will be removed in the next release. The `ResourceError` fix is also present in version 2023.6.0, so use that version in the meantime (`pip install fsspec==2023.6.0`). | ### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | 30 | module 'resource' has no attribute 'error'
### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\... |
https://github.com/huggingface/datasets/issues/6308 | module 'resource' has no attribute 'error' | > The `fsspec<2023.9.0` upper bound will be removed in the next release. The `ResourceError` fix is also present in version 2023.6.0, so use that version in the meantime (`pip install fsspec==2023.6.0`).
thanks for replyοΌ | ### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | 34 | module 'resource' has no attribute 'error'
### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\... |
https://github.com/huggingface/datasets/issues/7765 | polars dataset cannot cast column to Image/Audio/Video | @samuelstevens Yeah, I'm using similar workaround as well. But it would be ideal if we can avoid the copy. | ### Describe the bug
`from_polars` dataset cannot cast column to Image/Audio/Video, while it works on `from_pandas` and `from_dict`
### Steps to reproduce the bug
```python3
import datasets
import pandas as pd
import polars as pl
image_path = "./sample.png"
# polars
df = pl.DataFrame({"image_path": [image_path]})
... | 19 | polars dataset cannot cast column to Image/Audio/Video
### Describe the bug
`from_polars` dataset cannot cast column to Image/Audio/Video, while it works on `from_pandas` and `from_dict`
### Steps to reproduce the bug
```python3
import datasets
import pandas as pd
import polars as pl
image_path = "./sample.png"
# ... |
https://github.com/huggingface/datasets/issues/4799 | video dataset loader/parser | Hi! We've just started discussing the video support in `datasets` (decoding backends, video feature type, etc.), so I believe we should have something tangible by the end of this year.
Also, if you have additional video features in mind that you would like to see, feel free to let us know | you know how you can [use `load_dataset` with any arbitrary csv file](https://huggingface.co/docs/datasets/loading#csv)? and you can also [use it to load a local image dataset](https://huggingface.co/docs/datasets/image_load#local-files)?
could you please add functionality to load a video dataset? it would be really... | 51 | video dataset loader/parser
you know how you can [use `load_dataset` with any arbitrary csv file](https://huggingface.co/docs/datasets/loading#csv)? and you can also [use it to load a local image dataset](https://huggingface.co/docs/datasets/image_load#local-files)?
could you please add functionality to load a video... |
https://github.com/huggingface/datasets/issues/4799 | video dataset loader/parser | Hey @mariosasko, I was wondering if there's a way to load video data currently in the library?
Alternatively is there a way I could hack it through the dataset.from_dict() method? I tried to hack it, but the issue I run into is that earlier I was doing a `cast_column()` call for the `Image` feature, but now I'm not s... | you know how you can [use `load_dataset` with any arbitrary csv file](https://huggingface.co/docs/datasets/loading#csv)? and you can also [use it to load a local image dataset](https://huggingface.co/docs/datasets/image_load#local-files)?
could you please add functionality to load a video dataset? it would be really... | 111 | video dataset loader/parser
you know how you can [use `load_dataset` with any arbitrary csv file](https://huggingface.co/docs/datasets/loading#csv)? and you can also [use it to load a local image dataset](https://huggingface.co/docs/datasets/image_load#local-files)?
could you please add functionality to load a video... |
https://github.com/huggingface/datasets/issues/7617 | Unwanted column padding in nested lists of dicts | Answer from @lhoestq:
> No
> This is because Arrow and Parquet a columnar format: they require a fixed type for each column. So if you have nested dicts, each item should have the same subfields
The way around I found is the handle it after sampling with this function:
```python
def remove_padding(example):
if i... | ```python
from datasets import Dataset
dataset = Dataset.from_dict({
"messages": [
[
{"a": "...",},
{"b": "...",},
],
]
})
print(dataset[0])
```
What I get:
```
{'messages': [{'a': '...', 'b': None}, {'a': None, 'b': '...'}]}
```
What I want:
```
{'messages': [{'a': '... | 111 | Unwanted column padding in nested lists of dicts
```python
from datasets import Dataset
dataset = Dataset.from_dict({
"messages": [
[
{"a": "...",},
{"b": "...",},
],
]
})
print(dataset[0])
```
What I get:
```
{'messages': [{'a': '...', 'b': None}, {'a': None, 'b': '...... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Cool ! Let us know if you have questions or if we can help :)
I guess we'll also have to create the NYU CS Department on the Hub ? | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 30 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > I guess we'll also have to create the NYU CS Department on the Hub ?
Yes, you're right! Let me add it to my profile first, and then we can transfer. Meanwhile, if it's recommended to loop the dataset author in here, let me know.
Also, the NYU Depth dataset seems big. Any example scripts for creating image data... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 64 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | You can check the imagenet-1k one.
PS: If the licenses allows it, it'b be nice to host the dataset as sharded TAR archives (like imagenet-1k) instead of the ZIP format they use:
- it will make streaming much faster
- ZIP compression is not well suited for images
- it will allow parallel processing of the dataset ... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 105 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > You can check the imagenet-1k one.
Where can I find the script? Are you referring to https://huggingface.co/docs/datasets/image_process ? Or is there anything more specific? | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 25 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Update: started working on it here: https://huggingface.co/datasets/sayakpaul/nyu_depth_v2.
I am facing an issue and I have detailed it here: https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/discussions/1
Edit: The issue is gone.
However, since the dataset is distributed as a single TAR archive (follow... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 57 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | A Colab Notebook demonstrating the dataset loading part:
https://colab.research.google.com/gist/sayakpaul/aa0958c8d4ad8518d52a78f28044d871/scratchpad.ipynb
@osanseviero @lhoestq
I will work on a notebook to work with the dataset including data visualization. | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 25 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | @osanseviero @lhoestq things seem to work fine with the current version of the dataset [here](https://huggingface.co/datasets/sayakpaul/nyu_depth_v2). Here's a notebook I developed to help with visualization: https://colab.research.google.com/drive/1K3ZU8XUPRDOYD38MQS9nreQXJYitlKSW?usp=sharing.
@lhoestq I need your... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 127 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > However, since the dataset is distributed as a single TAR archive (following the [URL used in TensorFlow Datasets](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/nyu_depth_v2/nyu_depth_v2_dataset_builder.py)) the loading is taking longer. How would suggest to shard the single TAR arch... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 98 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > Then since the dataset is quite big, you can even shard the train split and the validation split in multiple TAR archives. Something around 16 archives for train and 4 for validation would be fine for example.
Yes, I got you. But this process seems to be manual and should be tailored for the given dataset. Do you ... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 101 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > Yes, I got you. But this process seems to be manual and should be tailored for the given dataset. Do you have any script that you used to create the ImageNet-1k shards?
I don't, but I agree it'd be nice to have a script for that !
> I was not going to do that. Not sure what brought it up.
The original datase... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 70 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > Where should we host the dataset? I think hosting it under hf.co/datasets (that is HF is the org) is fine as we have ImageNet-1k hosted similarly.
Maybe you can create an org for NYU Courant (this is the institute of the lab of the main author of the dataset if I'm not mistaken), and invite the authors to join.
... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 67 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Updates: https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/discussions/5
The entire process (preparing multiple archives, preparing data loading script, etc.) was fun and engaging, thanks to the documentation. I believe we could work on a small blog post that would work as a reference for the future contributor... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 49 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > I believe we could work on a small blog post that would work as a reference for the future contributors following this path. What say?
@polinaeterna already mentioned it would be nice to present this process for audio (it's exactly the same), I believe it can be useful to many people | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 52 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Cool. Let's work on that after the NYU Depth Dataset is fully in on Hub (under the appropriate org). π€ | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 20 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | @lhoestq need to discuss something while I am adding the dataset card to https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/.
As per [Papers With Code](https://paperswithcode.com/dataset/nyuv2), NYU Depth v2 is used for many different tasks:
* Monocular depth estimation
* Depth estimation
* Semantic segme... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 198 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > What should be the plan of action for this?
When you merged https://github.com/huggingface/hub-docs/pull/488, there is a JS Interfaces GitHub Actions workflow that runs https://github.com/huggingface/hub-docs/actions/workflows/js-interfaces-tests.yml. It has a step called [export-task scripts](https://github.com/h... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 68 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a co... |
https://github.com/huggingface/datasets/issues/3700 | Unable to load a dataset | Hi! `load_dataset` is intended to be used to load a canonical dataset (`wikipedia`), a packaged dataset (`csv`, `json`, ...) or a dataset hosted on the Hub. For local datasets saved with `save_to_disk("path/to/dataset")`, use `load_from_disk("path/to/dataset")`. | ## Describe the bug
Unable to load a dataset from Huggingface that I have just saved.
## Steps to reproduce the bug
On Google colab
`! pip install datasets `
`from datasets import load_dataset`
`my_path = "wiki_dataset"`
`dataset = load_dataset('wikipedia', "20200501.fr")`
`dataset.save_to_disk(my_path)`
`... | 34 | Unable to load a dataset
## Describe the bug
Unable to load a dataset from Huggingface that I have just saved.
## Steps to reproduce the bug
On Google colab
`! pip install datasets `
`from datasets import load_dataset`
`my_path = "wiki_dataset"`
`dataset = load_dataset('wikipedia', "20200501.fr")`
`dataset.... |
https://github.com/huggingface/datasets/issues/5009 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly | I think this is because some columns are mostly empty lists. In particular the train and validation splits only have empty lists for `val_ann`. Therefore the type inference doesn't know which type is inside (or it would have to scan the other splits first before knowing).
You can fix that by specifying the features ... | ## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/train.jsonl")`, it loads the dataset correctly. However, when I try to load it from the hub, I ge... | 145 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly
## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/tra... |
https://github.com/huggingface/datasets/issues/5009 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly | `gram_ann` and `val_ann` are annotations that only exist for part of the test set. I wanted to keep all the columns consistent across all files, so I added them to train and validation as well. I'll check if removing them from those files is still compliant with this repo. Otherwise, I will do as you suggested. Thanks ... | ## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/train.jsonl")`, it loads the dataset correctly. However, when I try to load it from the hub, I ge... | 59 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly
## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/tra... |
https://github.com/huggingface/datasets/issues/5009 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly | @lhoestq I followed the exact steps you described but it seems like I'm getting the same error unfortunately. Any other ideas? Thanks in advance | ## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/train.jsonl")`, it loads the dataset correctly. However, when I try to load it from the hub, I ge... | 24 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly
## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/tra... |
https://github.com/huggingface/datasets/issues/5009 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly | Hi ! If you move `dataset_infos.json` from `data/` to the root of your dataset repository if should work :) | ## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/train.jsonl")`, it loads the dataset correctly. However, when I try to load it from the hub, I ge... | 19 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly
## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/tra... |
https://github.com/huggingface/datasets/issues/5009 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly | I tried that and pushed to the [hub](https://huggingface.co/datasets/StonyBrookNLP/tellmewhy/tree/main). Now, there is a new error.
```
File "/home/yklal95/tellmewhy/src/prepare_data.py", line 67, in main
dataset = load_dataset('StonyBrookNLP/tellmewhy')
File "/home/yklal95/anaconda3/envs/tmw-generalization... | ## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/train.jsonl")`, it loads the dataset correctly. However, when I try to load it from the hub, I ge... | 87 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly
## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/tra... |
https://github.com/huggingface/datasets/issues/5009 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly | Oh I see - the code I gave you returns local paths instead of URLs to store metadata about files to download.
I opened a PR in your repo here to remove this: https://huggingface.co/datasets/StonyBrookNLP/tellmewhy/discussions/1
sorry for the inconvenience ! | ## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/train.jsonl")`, it loads the dataset correctly. However, when I try to load it from the hub, I ge... | 39 | Error loading StonyBrookNLP/tellmewhy dataset from hub even though local copy loads correctly
## Describe the bug
I have added a new dataset with the identifier `StonyBrookNLP/tellmewhy` to the hub. When I load the individual files using my local copy using `dataset = datasets.load_dataset("json", data_files="data/tra... |
https://github.com/huggingface/datasets/issues/5815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | Hi @hrbigelow , I'm no expert for such a question so I'll ping @lhoestq from the `datasets` library (also this issue could be moved there if someone with permission can do it :) ) | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | 34 | Easy way to create a Kaggle dataset from a Huggingface dataset?
I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI mus... |
https://github.com/huggingface/datasets/issues/5815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | Hi ! Many datasets are made of several files, and how they are parsed often requires a python script. Because of that, datasets like wmt14 are not available as a single file on HF. Though you can create this file using `datasets`:
```python
from datasets import load_dataset
ds = load_dataset("wmt14", "de-en", sp... | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | 102 | Easy way to create a Kaggle dataset from a Huggingface dataset?
I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI mus... |
https://github.com/huggingface/datasets/issues/5815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | I've requested support for creating a Kaggle dataset from an imported HF dataset repo on their "forum" here: https://www.kaggle.com/discussions/product-feedback/427142 (upvotes appreciated π) | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
:
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 19 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | FYI there are still 2k+ weekly users on `datasets` 2.6.1 which doesn't support the string label format for class labels. And among those, some are using datasets with class labels like imdb (60 users), conllpp (40), msra_ner (40), peoples_daily_enr (40), weibo_ner (30), conll2003 (20), etc. And renaming to string would... | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 54 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | but isn't `datasets 2.6.1` downloading files from the Hub with the corresponding tag? I thought we had something like this before | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 21 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | We're using `main` as models do. Some datasets need to be updated from time to time, e.g. when a link to download the data is dead.
But yea a year ago we had those tags, we just ended up not using them | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 42 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | I opened https://github.com/huggingface/datasets/issues/5406 to communicate on this. Let me know what you think, and if it sounds good to you I can pin this issue | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 25 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | So, is it OK to make the bulk edit on the Hub now or should we wait longer? If the latter, how long? | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 23 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | I think we can do it. If you want to be extra cautious you can do it for all datasets except imdb and conllpp for now which are actively used by 2.6.1 users. For those two we can keep the YAML like this for some more time, or alternatively use the old dataset_infos.json file | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 54 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | The bulk edit of canonical datasets (except imdb and conllpp) is running.
See e.g.: https://huggingface.co/datasets/acronym_identification/discussions/3
EDITED:
Done, except for "universal_morphologies", where I get
```
HTTPError: 413 Client Error: Payload Too Large for url: https://huggingface.co/api/valida... | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 53 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | @lhoestq, there are 6 community datasets with YAML integer keys in their `dataset_info` `class_label`:
- indonlp/indonlu
- rcds/swiss_judgment_prediction
- Jean-Baptiste/wikiner_fr
- Bingsu/Cat_and_Dog
- taskydata/tasky_or_not
- RCC-MSU/collection3
Maybe we could open a PR on them as well? | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 36 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | Let's do this then:
- [x] [indonlp/indonlu](https://huggingface.co/datasets/indonlp/indonlu/discussions/3)
- [x] rcds/swiss_judgment_prediction
- [x] Jean-Baptiste/wikiner_fr
- [x] Bingsu/Cat_and_Dog -> merged
- [x] taskydata/tasky_or_not (was already using quotes)
- [x] RCC-MSU/collection3
EDIT: all done :) | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 32 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | @lhoestq I was not asking you to do it, but asking if you agree me to do it... :man_facepalming:
As I self-assigned this issue... :sweat_smile: | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 25 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discuss... |
https://github.com/huggingface/datasets/issues/7164 | fsspec.exceptions.FSTimeoutError when downloading dataset | Hi ! If you check the dataset loading script [here](https://huggingface.co/datasets/openslr/librispeech_asr/blob/main/librispeech_asr.py) you'll see that it downloads the data from OpenSLR, and apparently their storage has timeout issues. It would be great to ultimately host the dataset on Hugging Face instead.
In t... | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
> Dow... | 51 | fsspec.exceptions.FSTimeoutError when downloading dataset
### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech... |
https://github.com/huggingface/datasets/issues/7164 | fsspec.exceptions.FSTimeoutError when downloading dataset | I'm also getting this same error but for `CSTR-Edinburgh/vctk`, so I don't think it's the remote host that's timing out, since I also time out at exactly 5 minutes. It seems there is a universal fsspec timeout that's getting hit starting in v3. | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
> Dow... | 43 | fsspec.exceptions.FSTimeoutError when downloading dataset
### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech... |
https://github.com/huggingface/datasets/issues/7164 | fsspec.exceptions.FSTimeoutError when downloading dataset | in v3 we cleaned the download parts of the library to make it more robust for HF downloads and to simplify support of script-based datasets. As a side effect it's not the same code that is used for other hosts, maybe time out handling changed. Anyway it should be possible to tweak fsspec to use retries
For example u... | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
> Dow... | 79 | fsspec.exceptions.FSTimeoutError when downloading dataset
### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech... |
https://github.com/huggingface/datasets/issues/7164 | fsspec.exceptions.FSTimeoutError when downloading dataset | Adding a timeout argument to the `fs.get_file` call in `fsspec_get` in `datasets/utils/file_utils.py` might fix this ([source code](https://github.com/huggingface/datasets/blob/65f6eb54aa0e8bb44cea35deea28e0e8fecc25b9/src/datasets/utils/file_utils.py#L330)):
```python
fs.get_file(path, temp_file.name, callback=call... | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
> Dow... | 138 | fsspec.exceptions.FSTimeoutError when downloading dataset
### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech... |
https://github.com/huggingface/datasets/issues/7164 | fsspec.exceptions.FSTimeoutError when downloading dataset | I've handled the issue like this to ensure smoother downloads when using the `datasets` library.
If modifying the library is not too inconvenient, this approach could be a good (but tentative) solution.
### Changes Made
Modified `datasets.utils.file_utils.fsspec_get` to handle storage options and set a timeout:
``... | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
> Dow... | 84 | fsspec.exceptions.FSTimeoutError when downloading dataset
### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech... |
https://github.com/huggingface/datasets/issues/7164 | fsspec.exceptions.FSTimeoutError when downloading dataset | Librispeech_asr is now hosted on HF, which fixes this issue π
closing this one now :) | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
> Dow... | 16 | fsspec.exceptions.FSTimeoutError when downloading dataset
### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech... |
https://github.com/huggingface/datasets/issues/5105 | Specifying an exisiting folder in download_and_prepare deletes everything in it | Thanks for reporting, @cakiki.
I would say the deletion of the dir is an expected behavior though... | ## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also leads to **another bug** whose traceback is the following:
```
... | 17 | Specifying an exisiting folder in download_and_prepare deletes everything in it
## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also l... |
https://github.com/huggingface/datasets/issues/5105 | Specifying an exisiting folder in download_and_prepare deletes everything in it | Thank you both for your feedback!
@albertvillanova I think I might have have the wrong mental model of what the function was meant to do. I thought it would be an API similar to the pandas `to_XX` write methods (Like the one @lhoestq mentions) so I just assumed it would download the dataframe to whichever folder I s... | ## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also leads to **another bug** whose traceback is the following:
```
... | 103 | Specifying an exisiting folder in download_and_prepare deletes everything in it
## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also l... |
https://github.com/huggingface/datasets/issues/5105 | Specifying an exisiting folder in download_and_prepare deletes everything in it | actually there's already a `download_mode` parameter that defaults to `REUSE_DATASET_IF_EXISTS` - so I guess it's just a matter of not deleting files unrelated to the dataset, and to overwrite existing dataset files if the download mode is `REUSE_CACHE_IF_EXISTS` or `FORCE_REDOWNLOAD` | ## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also leads to **another bug** whose traceback is the following:
```
... | 40 | Specifying an exisiting folder in download_and_prepare deletes everything in it
## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also l... |
https://github.com/huggingface/datasets/issues/6602 | Index error when data is large | I'm facing this problem while doing my translation of [mteb/stackexchange-clustering](https://huggingface.co/datasets/mteb/stackexchange-clustering). each row has lots of samples (up to 100k samples), because in this dataset, each row represent multiple clusters.
my hack is to setting `max_shard_size` to 20Gb or even l... | ### Describe the bug
At `save_to_disk` step, the `max_shard_size` by default is `500MB`. However, one row of the dataset might be larger than `500MB` then the saving will throw an index error. Without looking at the source code, the bug is due to wrong calculation of number of shards which i think is
`total_size / m... | 66 | Index error when data is large
### Describe the bug
At `save_to_disk` step, the `max_shard_size` by default is `500MB`. However, one row of the dataset might be larger than `500MB` then the saving will throw an index error. Without looking at the source code, the bug is due to wrong calculation of number of shards whi... |
https://github.com/huggingface/datasets/issues/3929 | Load a local dataset twice | Hi @caush, thanks for reporting:
In order to load local CSV files, you can use our "csv" loading script: https://huggingface.co/docs/datasets/loading#csv
```python
dataset = load_dataset("csv", data_files=["data/file1.csv", "data/file2.csv"])
```
OR:
```python
dataset = load_dataset("csv", data_dir="data")
``... | ## Describe the bug
Load a local "dataset" composed of two csv files twice.
## Steps to reproduce the bug
Put the two joined files in a repository named "Data".
Then in python:
import datasets as ds
ds.load_dataset('Data', data_files = {'file1.csv', 'file2.csv'})
## Expected results
Should give something ... | 43 | Load a local dataset twice
## Describe the bug
Load a local "dataset" composed of two csv files twice.
## Steps to reproduce the bug
Put the two joined files in a repository named "Data".
Then in python:
import datasets as ds
ds.load_dataset('Data', data_files = {'file1.csv', 'file2.csv'})
## Expected resu... |
https://github.com/huggingface/datasets/issues/7254 | mismatch for datatypes when providing `Features` with `Array2D` and user specified `dtype` and using with_format("numpy") | It seems that https://github.com/huggingface/datasets/issues/5517 is exactly the same issue.
It was mentioned there that this would be fixed in version 3.x | ### Describe the bug
If the user provides a `Features` type value to `datasets.Dataset` with members having `Array2D` with a value for `dtype`, it is not respected during `with_format("numpy")` which should return a `np.array` with `dtype` that the user provided for `Array2D`. It seems for floats, it will be set to `f... | 21 | mismatch for datatypes when providing `Features` with `Array2D` and user specified `dtype` and using with_format("numpy")
### Describe the bug
If the user provides a `Features` type value to `datasets.Dataset` with members having `Array2D` with a value for `dtype`, it is not respected during `with_format("numpy")` whi... |
https://github.com/huggingface/datasets/issues/7139 | Use load_dataset to load imagenet-1K But find a empty dataset | Imagenet-1k is a gated dataset which means youβll have to agree to share your contact info to access it. Have you tried this yet? Once you have, you can sign in with your user token (you can find this in your Hugging Face account settings) when prompted by running.
```
huggingface-cli login
train_set = load_data... | ### Describe the bug
```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | 58 | Use load_dataset to load imagenet-1K But find a empty dataset
### Describe the bug
```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
... |
https://github.com/huggingface/datasets/issues/4684 | How to assign new values to Dataset? | Hi! One option is use `map` with a function that overwrites the labels (`dset = dset.map(lamba _: {"label": 0}, features=dset.features`)). Or you can use the `remove_column` + `add_column` combination (`dset = dset.remove_columns("label").add_column("label", [0]*len(data)).cast(dset.features)`, but note that this appro... | 
Hi, if I want to change some values of the dataset, or add new columns to it, how can I do it?
For example, I want to change all the labels of the SST2 dataset to `0`:
```python
from datasets import l... | 58 | How to assign new values to Dataset?
Hi, if I want to change some values of the dataset, or add new columns to it, how can I do it?
For example, I want to change all the labels of the SST2 dataset to `0... |
https://github.com/huggingface/datasets/issues/4684 | How to assign new values to Dataset? | Hi! I tried your proposed solution, but it does not solve my problem unfortunately. I am working with a set of protein sequences that have been tokenized with ESM, but some sequences are longer than `max_length`, they have been truncated in the tokenization. So now I want to truncate my labels as well, but that does no... | 
Hi, if I want to change some values of the dataset, or add new columns to it, how can I do it?
For example, I want to change all the labels of the SST2 dataset to `0`:
```python
from datasets import l... | 139 | How to assign new values to Dataset?
Hi, if I want to change some values of the dataset, or add new columns to it, how can I do it?
For example, I want to change all the labels of the SST2 dataset to `0... |
https://github.com/huggingface/datasets/issues/7664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | Hey @zdzichukowalski, I was not able to reproduce this on python 3.11.9 and datasets 3.6.0. The contents of "body" are correctly parsed as a string and no other fields like timestamps are created. Could you try reproducing this in a fresh environment, or posting the complete code where you encountered that stacktrace? ... | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | 68 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files
### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of t... |
https://github.com/huggingface/datasets/issues/7664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | Hi @zdzichukowalski, thanks for reporting this!
To help investigate this further, could you please share the following:
Exact contents of the data.jsonl file you're using β especially the first few lines that trigger the error.
The full code snippet you used to run load_dataset(), along with any environment setup (i... | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | 160 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files
### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of t... |
https://github.com/huggingface/datasets/issues/7664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | Ok I can confirm that I also cannot reproduce the error in a clean environment with the minimized version of the dataset that I provided. Same story for the old environment. Nonetheless the bug still happens in the new environment with the full version of the dataset, which I am providing now. Please let me know if now... | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | 417 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files
### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of t... |
https://github.com/huggingface/datasets/issues/7664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | Hi @zdzichukowalski, thanks again for the detailed info and files!
Iβve reviewed the `datasets-issues.jsonl` you shared, and I can now confirm the issue with full clarity:
Some entries in the `"body"` field contain string content that resembles schema definitions β for example:
```
struct<type: string, action: strin... | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | 195 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files
### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of t... |
https://github.com/huggingface/datasets/issues/7664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | So in summary should we treat it as a low severity bug in `PyArrow`, in `Datasets` library, or as a proper behavior and do nothing with it? | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | 27 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files
### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of t... |
https://github.com/huggingface/datasets/issues/7664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | You are right actually! Iβd also categorize this as a low-severity schema inference edge case, mainly stemming from PyArrow, but exposed by how datasets handles .jsonl inputs.
It's not a bug in datasets per se, but confusing when string fields (like body) contain text that resembles schema β e.g., "timestamp[s]".
May... | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | 61 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files
### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of t... |
https://github.com/huggingface/datasets/issues/4855 | Dataset Viewer issue for super_glue | Thanks for reporting @wzsxxa.
However the "super_glue" dataset is rendered properly by the Dataset preview: https://huggingface.co/datasets/super_glue | ### Link
https://huggingface.co/datasets/super_glue
### Description
can't view super_glue dataset on the web page
### Owner
_No response_ | 16 | Dataset Viewer issue for super_glue
### Link
https://huggingface.co/datasets/super_glue
### Description
can't view super_glue dataset on the web page
### Owner
_No response_
Thanks for reporting @wzsxxa.
However the "super_glue" dataset is rendered properly by the Dataset preview: https://huggingface.co/dataset... |
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