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https://github.com/huggingface/datasets/issues/5961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | I print out n_shards, and under multiple GPUs, this value is always 1.
Is this value correct? | There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | 17 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway
There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the da... |
https://github.com/huggingface/datasets/issues/5961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | Yes it's correct, and it explains why you always have the same data passed to your map function (the data can't be split).
But after being passed to `map`, each GPU keeps one example out of n(GPUs) so that you don't end up with duplicate data across GPUs | There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | 48 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway
There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the da... |
https://github.com/huggingface/datasets/issues/5961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | > > For each GPU, although see the same data in prepare_data(), the actual training data will not be the same in the end.
> > Is my understanding correct?
>
> Yes exactly :)
>
> > Where can I print the actual training data for each GPU?
>
> You should call print in the data_collator
OK, when printing the t... | There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | 77 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway
There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the da... |
https://github.com/huggingface/datasets/issues/5961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | Do we have a solution for this one? Or it's required to get "number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU" | There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | 33 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway
There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the da... |
https://github.com/huggingface/datasets/issues/5961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | For now it's required to have a number of shards that is a factor of the number of GPUs to not have all the workers process the same data (and then skip the right ones to not end up training on duplicate data).
It would be quite complex to implement a strategy that would utilize all the GPUs with an arbitrary number... | There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | 70 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway
There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the da... |
https://github.com/huggingface/datasets/issues/6912 | Add MedImg for streaming | @mariosasko, @lhoestq, @albertvillanova
Hello! Can anyone help? or can you guys suggest who can help with this? | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | 17 | Add MedImg for streaming
### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical c... |
https://github.com/huggingface/datasets/issues/6912 | Add MedImg for streaming | Hi ! Feel free to download the dataset and create a `Dataset` object with it.
Then your'll be able to use `push_to_hub()` to upload the dataset to HF in Parquet format and make it streamable :) | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | 36 | Add MedImg for streaming
### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical c... |
https://github.com/huggingface/datasets/issues/6912 | Add MedImg for streaming | > Hi ! Feel free to download the dataset and create a `Dataset` object with it.
>
> Then your'll be able to use `push_to_hub()` to upload the dataset to HF in Parquet format and make it streamable :)
The dataset is several TB in total, which I do not have the resources to handle. | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | 55 | Add MedImg for streaming
### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical c... |
https://github.com/huggingface/datasets/issues/6912 | Add MedImg for streaming | for big datasets you can push_to_hub one part at a time (e.g. as different splits) and merge the parts (just a simple modification in the YAML part of the README) | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | 30 | Add MedImg for streaming
### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical c... |
https://github.com/huggingface/datasets/issues/6912 | Add MedImg for streaming | Sure, that makes sense. However, isn't there a size limit to what typical users can push? | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | 16 | Add MedImg for streaming
### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical c... |
https://github.com/huggingface/datasets/issues/6912 | Add MedImg for streaming | Yes there is a limit, simply let us know by email at datasets [at] huggingface.co - this way we can give you a storage grant also help making sure the dataset is all good for people to use it easily | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | 40 | Add MedImg for streaming
### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical c... |
https://github.com/huggingface/datasets/issues/6912 | Add MedImg for streaming | > Yes there is a limit, simply let us know by email at datasets [at] huggingface.co - this way we can give you a storage grant also help making sure the dataset is all good for people to use it easily
Got it, that would be great. | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | 47 | Add MedImg for streaming
### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical c... |
https://github.com/huggingface/datasets/issues/4965 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback() | Hi! This seems like a bug in `soundfile`. Could you please open an issue in their repo? `soundfile` works without any issues on my M1, so I'm not sure we can help. | ## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv")["train"]
dataset = dataset.map(lambda x: {"audio": str(DATA_DIR / "audio" / ... | 32 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback()
## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv... |
https://github.com/huggingface/datasets/issues/4965 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback() | Hi @hoangtnm - I upgraded to python 3.10 and it fixed the problem for me. I was also running 3.8 on an M1 mac. | ## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv")["train"]
dataset = dataset.map(lambda x: {"audio": str(DATA_DIR / "audio" / ... | 24 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback()
## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv... |
https://github.com/huggingface/datasets/issues/4965 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback() | Same here, upgrade python didn't work for me
MemoryError: Cannot allocate write+execute memory for ffi.callback()
any idea? | ## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv")["train"]
dataset = dataset.map(lambda x: {"audio": str(DATA_DIR / "audio" / ... | 17 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback()
## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv... |
https://github.com/huggingface/datasets/issues/4965 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback() | This is a `soundfile` issue, so there isn't much we can do about it. Hopefully, it gets fixed soon. | ## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv")["train"]
dataset = dataset.map(lambda x: {"audio": str(DATA_DIR / "audio" / ... | 19 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback()
## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv... |
https://github.com/huggingface/datasets/issues/4965 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback() | > Hi @hoangtnm - I upgraded to python 3.10 and it fixed the problem for me. I was also running 3.8 on an M1 mac.
it work for me too
| ## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv")["train"]
dataset = dataset.map(lambda x: {"audio": str(DATA_DIR / "audio" / ... | 30 | [Apple M1] MemoryError: Cannot allocate write+execute memory for ffi.callback()
## Describe the bug
I'm trying to run `cast_column("audio", Audio())` on Apple M1 Pro, but it seems that it doesn't work.
## Steps to reproduce the bug
```python
import datasets
dataset = load_dataset("csv", data_files="./train.csv... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | <s>I think this is because the tokenizer is stateful and because the order in which the splits are processed is not deterministic. Because of that, the hash of the tokenizer may change for certain splits, which causes issues with caching.
To fix this we can try making the order of the splits deterministic for map.</... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 55 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Actually this is not because of the order of the splits, but most likely because the tokenizer used to process the second split is in a state that has been modified by the first split.
Therefore after reloading the first split from the cache, then the second split can't be reloaded since the tokenizer hasn't seen th... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 81 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Sorry didn't have the bandwidth to take care of this yet - will re-assign when I'm diving into it again ! | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 21 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | I had this issue with `run_speech_recognition_ctc.py` for wa2vec2.0 fine-tuning. I made a small change and the hash for the function (which includes tokenisation) is now the same before and after pre-porocessing. With the hash being the same, the caching works as intended.
Before:
```
def prepare_dataset(batch... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 159 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Not sure why the second one would work and not the first one - they're basically the same with respect to hashing. In both cases the function is hashed recursively, and therefore the feature_extractor and the tokenizer are hashed the same way.
With which tokenizer or feature extractor are you experiencing this behav... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 83 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Thanks ! Hopefully this can be useful to others, and also to better understand and improve hashing/caching | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 17 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | `tokenizer.save_pretrained(training_args.output_dir)` produces a different tokenizer hash when loaded on restart of the script. When I was debugging before I was terminating the script prior to this command, then rerunning.
I compared the tokenizer items on the first and second runs, there are two different items:
... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 321 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Thanks for investigating ! Does that mean that `save_pretrained`() produces non-deterministic tokenizers on disk ? Or is it `from_pretrained()` which is not deterministic given the same files on disk ?
I think one way to fix this would be to make save/from_pretrained deterministic, or make the pickling of `transform... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 70 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Late to the party but everything should be deterministic (afaik at least).
But `Trie` is a simple class object, so afaik it's hash function is linked to its `id(self)` so basically where it's stored in memory, so super highly non deterministic. Could that be the issue ? | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 47 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | > But Trie is a simple class object, so afaik it's hash function is linked to its id(self) so basically where it's stored in memory, so super highly non deterministic. Could that be the issue ?
We're computing the hash of the pickle dump of the class so it should be fine, as long as the pickle dump is deterministic | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 60 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | I've ported wav2vec2.0 fine-tuning into Optimum-Graphcore which is where I found the issue. The majority of the script was copied from the Transformers version to keep it similar, [here is the tokenizer loading section from the source](https://github.com/huggingface/transformers/blob/f0982682bd6fd0b438dda79ec45f3a8fac8... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 116 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Which Python version are you using ?
The trie is basically a big dict of dics, so deterministic nature depends on python version:
https://stackoverflow.com/questions/2053021/is-the-order-of-a-python-dictionary-guaranteed-over-iterations
Maybe the investigation is actually not finding the right culprit though (th... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 63 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Similar issue found on `BartTokenizer`. You can bypass the bug by loading a fresh new tokenizer everytime.
```
dataset = dataset.map(lambda x: tokenize_func(x, BartTokenizer.from_pretrained(xxx)),
num_proc=num_proc, desc='Tokenize')
``` | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 27 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | I got the same problem while using Wav2Vec2CTCTokenizer in a distributed experiment (many processes), and found that the problem was localized in the serialization (pickle dump) of the field `tokenizer.tokens_trie._tokens` (just a python set). I focussed into the set serialization and found it is not deterministic:
... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 97 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | OK, I assume python's set is just a hash table implementation that uses internally the hash() function. The problem is that python's hash() is not deterministic. I believe that setting the environment variable PYTHONHASHSEED to a fixed value, you can force it to be deterministic. I tried it (file `set_pickle_dump.py`):... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 139 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Thanks for reporting. I opened a PR here to propose a fix: https://github.com/huggingface/datasets/pull/6318 and doesn't require setting `PYTHONHASHSEED`
Can you try to install `datasets` from this branch and tell me if it fixes the issue ? | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 36 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | I patched (*) the file `datasets/utils/py_utils.py` and cache is working propperly now. Thanks!
(*): I am running my experiments inside a docker container that depends on `huggingface/transformers-pytorch-gpu:latest`, so pattched the file instead of rebuilding the container from scratch | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 38 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | I think the Trie()._tokens of PreTrainedTokenizer need to be a sorted set So that the results of `hash_bytes(dumps(tokenizer))` are consistent every time | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 22 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | I believe the issue may be linked to [tokenization_utils.py#L507](https://github.com/huggingface/transformers/blob/main/src/transformers/tokenization_utils.py#L507)，specifically in the line where self.tokens_trie.add(token.content) is called. The function _update_trie appears to modify an unordered set. Consequently, t... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 81 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | We did a fix that does sorting whenever we hash sets. The fix is available on `main` if you want to try it out. We'll do a new release soon :) | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 31 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3847 | Datasets' cache not re-used | Is there a documentation chapter that discusses in which cases you should expect your dataset preprocessing to be cached. Including do's and don'ts for the preprocessing functions? I think Datasets team does amazing job at tacking this issue on their side, but it would be great to have some guidelines on the user side ... | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | 95 | Datasets' cache not re-used
## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 token... |
https://github.com/huggingface/datasets/issues/3906 | NonMatchingChecksumError on Spider dataset | Hi @kolk, thanks for reporting.
Indeed, Google Drive service recently changed their service and we had to add a fix to our library to cope with that change:
- #3787
We just made patch release last week: 1.18.4 https://github.com/huggingface/datasets/releases/tag/1.18.4
Please, feel free to update your local ... | ## Describe the bug
Failure to generate dataset ```spider``` because of checksums error for dataset source files.
## Steps to reproduce the bug
```
from datasets import load_dataset
spider = load_dataset("spider")
```
## Expected results
Checksums should match for files from url ['https://drive.google.com... | 60 | NonMatchingChecksumError on Spider dataset
## Describe the bug
Failure to generate dataset ```spider``` because of checksums error for dataset source files.
## Steps to reproduce the bug
```
from datasets import load_dataset
spider = load_dataset("spider")
```
## Expected results
Checksums should match f... |
https://github.com/huggingface/datasets/issues/5486 | Adding `sep` to TextConfig | Hi @omar-araboghli, thanks for your proposal.
Have you tried to use "csv" loader instead of "text"? That already has a `sep` argument. | I have a local a `.txt` file that follows the `CONLL2003` format which I need to load using `load_script`. However, by using `sample_by='line'`, one can only split the dataset into lines without splitting each line into columns. Would it be reasonable to add a `sep` argument in combination with `sample_by='paragraph'` ... | 22 | Adding `sep` to TextConfig
I have a local a `.txt` file that follows the `CONLL2003` format which I need to load using `load_script`. However, by using `sample_by='line'`, one can only split the dataset into lines without splitting each line into columns. Would it be reasonable to add a `sep` argument in combination w... |
https://github.com/huggingface/datasets/issues/5486 | Adding `sep` to TextConfig | Hi @albertvillanova, thanks for the quick response!
Indeed, I have been trying to use `csv` instead of `text`. However I am still not able to define range of rows as one sequence, that is achievable with passing `sample_by='paragraph'` to the `TextConfig`
For instance, the below code
```python
import datasets... | I have a local a `.txt` file that follows the `CONLL2003` format which I need to load using `load_script`. However, by using `sample_by='line'`, one can only split the dataset into lines without splitting each line into columns. Would it be reasonable to add a `sep` argument in combination with `sample_by='paragraph'` ... | 116 | Adding `sep` to TextConfig
I have a local a `.txt` file that follows the `CONLL2003` format which I need to load using `load_script`. However, by using `sample_by='line'`, one can only split the dataset into lines without splitting each line into columns. Would it be reasonable to add a `sep` argument in combination w... |
https://github.com/huggingface/datasets/issues/3896 | Missing google file for `multi_news` dataset | `datasets` 1.18.4 fixes the issue when you load the dataset with `load_dataset`.
When loading in streaming mode, the fix is indeed on https://github.com/huggingface/datasets/pull/3843 which will be merged soon :) | ## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/multi-news-original/train.src
```
Am I the ... | 29 | Missing google file for `multi_news` dataset
## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/mu... |
https://github.com/huggingface/datasets/issues/3896 | Missing google file for `multi_news` dataset | That is. The PR #3843 was just opened a bit later we had made our 1.18.4 patch release...
Once merged, that will fix this issue. | ## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/multi-news-original/train.src
```
Am I the ... | 25 | Missing google file for `multi_news` dataset
## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/mu... |
https://github.com/huggingface/datasets/issues/3896 | Missing google file for `multi_news` dataset | OK. Should fix the viewer for 50 datasets
<img width="148" alt="Capture d’écran 2022-03-14 à 11 51 02" src="https://user-images.githubusercontent.com/1676121/158157853-6c544a47-2d6d-4ac4-964a-6f10951ec36b.png">
| ## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/multi-news-original/train.src
```
Am I the ... | 18 | Missing google file for `multi_news` dataset
## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/mu... |
https://github.com/huggingface/datasets/issues/7590 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema. | Hi @lhoestq
Could you help confirm whether this qualifies as a bug?
It looks like the issue stems from how `Sequence(Features(...))` is interpreted as a plain struct during schema inference, which leads to a mismatch when casting with PyArrow (especially with nested structs inside lists). From the description, this ... | ### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This leads to the following error:
```
ArrowNotImplementedError: Unsupported cast from list<item: st... | 89 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema.
### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This le... |
https://github.com/huggingface/datasets/issues/7590 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema. | Hello @Flink-ddd
I updated the minimal example and included both JSON and JSONL minimal examples in the Colab notebook.
Here is the minimal JSON file for convenience (can't upload JSONL files).
[mini.json](https://github.com/user-attachments/files/20535145/mini.json)
I've also found a number of issues which desc... | ### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This leads to the following error:
```
ArrowNotImplementedError: Unsupported cast from list<item: st... | 76 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema.
### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This le... |
https://github.com/huggingface/datasets/issues/7590 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema. | Hi ! `Sequence({...})` corresponds to a struct of lists ([docs](https://huggingface.co/docs/datasets/v3.6.0/en/package_reference/main_classes#datasets.Features)). This come from Tensorflow Datasets.
If you want to use a list of structs, you should use `[{...}]`, e.g.
```python
item = {
"id": Value("string"),
... | ### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This leads to the following error:
```
ArrowNotImplementedError: Unsupported cast from list<item: st... | 45 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema.
### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This le... |
https://github.com/huggingface/datasets/issues/7590 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema. | @lhoestq Thanks for your explanation, which helps me understand the logic behind. But I'm confused how to define that in `README.md`?
My jsonl data is:
```
{"answers": [{"text": "text1", "label": "label1"}, {"text": "text2", "label": "label2"},]}
{"answers": [{"text": "text1", "label": "label1"}, {"text": "text2", "l... | ### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This leads to the following error:
```
ArrowNotImplementedError: Unsupported cast from list<item: st... | 114 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema.
### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This le... |
https://github.com/huggingface/datasets/issues/7590 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema. | The `List` type which doesn't have the weird dict behavior of `Sequence` has been added for `datasets` 4.0 (to be released next week). Feel free to install `datasets` from source to try it out :)
EDIT: it's out !
You can fix the issue using `List` instead of `Sequence`, e.g. in the case of the original post:
```pytho... | ### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This leads to the following error:
```
ArrowNotImplementedError: Unsupported cast from list<item: st... | 106 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema.
### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This le... |
https://github.com/huggingface/datasets/issues/7590 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema. | @lhoestq Thanks! I didn't realize there is a `list` keyword I could use. I thought I had to use `dtype` or something. Hope there could be better documentation on the `README.md` formats. I've closed my issue #7137 | ### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This leads to the following error:
```
ArrowNotImplementedError: Unsupported cast from list<item: st... | 37 | `Sequence(Features(...))` causes PyArrow cast error in `load_dataset` despite correct schema.
### Description
When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This le... |
https://github.com/huggingface/datasets/issues/8012 | HC3 dataset fails to load with datasets>=3 due to legacy script (HC3.py) | This is not a bug. This is intended behaviour. The only ways to resolve this are
1. use the old `datasets` versions
2. load the dataset and upload it to your own repo without a script
3. raise an issue in the dataset and wait for the owner to update it. | ### Describe the bug
It looks like the current documentation suggests loading the dataset like this:
`load_dataset("Hello-SimpleAI/HC3", split="train")
`
But with datasets>=3.x, this raises:
RuntimeError: Dataset scripts are no longer supported, but found HC3.py
The dataset loads correctly if we specify the parqu... | 51 | HC3 dataset fails to load with datasets>=3 due to legacy script (HC3.py)
### Describe the bug
It looks like the current documentation suggests loading the dataset like this:
`load_dataset("Hello-SimpleAI/HC3", split="train")
`
But with datasets>=3.x, this raises:
RuntimeError: Dataset scripts are no longer supporte... |
https://github.com/huggingface/datasets/issues/3295 | Temporary dataset_path for remote fs URIs not built properly in arrow_dataset.py::load_from_disk | Hi ! Good catch and thanks for opening a PR :)
I just responded in your PR | ## Describe the bug
When trying to build a temporary dataset path from a remote URI in this block of code:
https://github.com/huggingface/datasets/blob/42f6b1d18a4a1b6009b6e62d115491be16dfca22/src/datasets/arrow_dataset.py#L1038-L1042
the result is not the expected when passing an absolute path in an URI like `h... | 17 | Temporary dataset_path for remote fs URIs not built properly in arrow_dataset.py::load_from_disk
## Describe the bug
When trying to build a temporary dataset path from a remote URI in this block of code:
https://github.com/huggingface/datasets/blob/42f6b1d18a4a1b6009b6e62d115491be16dfca22/src/datasets/arrow_dataset... |
https://github.com/huggingface/datasets/issues/3703 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance' | Hi! Some of our metrics require additional dependencies to work. In your case, simply installing the `seqeval` package with `pip install seqeval` should resolve the issue. | hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to load locally. Loading code: metric = load_ metric(path='mymetric/seqeval/seqeval.py')
But tips:
Traceback (most recent call last):
File... | 26 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance'
hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to ... |
https://github.com/huggingface/datasets/issues/3703 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance' | > Hi! Some of our metrics require additional dependencies to work. In your case, simply installing the `seqeval` package with `pip install seqeval` should resolve the issue.
I installed seqeval, but still reported the same error. That's too bad.
| hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to load locally. Loading code: metric = load_ metric(path='mymetric/seqeval/seqeval.py')
But tips:
Traceback (most recent call last):
File... | 39 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance'
hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to ... |
https://github.com/huggingface/datasets/issues/3703 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance' | > > Hi! Some of our metrics require additional dependencies to work. In your case, simply installing the `seqeval` package with `pip install seqeval` should resolve the issue.
> > I installed seqeval, but still reported the same error. That's too bad.
Same issue here. What should I do to fix this error? Please help... | hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to load locally. Loading code: metric = load_ metric(path='mymetric/seqeval/seqeval.py')
But tips:
Traceback (most recent call last):
File... | 57 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance'
hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to ... |
https://github.com/huggingface/datasets/issues/3703 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance' | I tried to install **seqeval** package through anaconda instead of pip:
`conda install -c conda-forge seqeval`
It worked for me! | hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to load locally. Loading code: metric = load_ metric(path='mymetric/seqeval/seqeval.py')
But tips:
Traceback (most recent call last):
File... | 20 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance'
hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to ... |
https://github.com/huggingface/datasets/issues/7717 | Cached dataset is not used when explicitly passing the cache_dir parameter | Hi, I've investigated this issue and can confirm the bug. Here are my findings:
**1. Reproduction:**
I was able to reproduce the issue on the latest `main` branch. Using the provided code snippet, `snapshot_download` correctly populates the custom `cache_dir`, but `load_dataset` with the same `cache_dir` triggers a fu... | ### Describe the bug
Hi, we are pre-downloading a dataset using snapshot_download(). When loading this exact dataset with load_dataset() the cached snapshot is not used. In both calls, I provide the cache_dir parameter.
### Steps to reproduce the bug
```
from datasets import load_dataset, concatenate_datasets
from h... | 233 | Cached dataset is not used when explicitly passing the cache_dir parameter
### Describe the bug
Hi, we are pre-downloading a dataset using snapshot_download(). When loading this exact dataset with load_dataset() the cached snapshot is not used. In both calls, I provide the cache_dir parameter.
### Steps to reproduce ... |
https://github.com/huggingface/datasets/issues/5492 | Push_to_hub in a pull request | Assigned to myself and will get to it in the next week, but if someone finds this issue annoying and wants to submit a PR before I do, just ping me here and I'll reassign :). | Right now `ds.push_to_hub()` can push a dataset on `main` or on a new branch with `branch=`, but there is no way to open a pull request. Even passing `branch=refs/pr/x` doesn't seem to work: it tries to create a branch with that name
cc @nateraw
It should be possible to tweak the use of `huggingface_hub` in `pus... | 36 | Push_to_hub in a pull request
Right now `ds.push_to_hub()` can push a dataset on `main` or on a new branch with `branch=`, but there is no way to open a pull request. Even passing `branch=refs/pr/x` doesn't seem to work: it tries to create a branch with that name
cc @nateraw
It should be possible to tweak the us... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Hi! IIRC one of the files in this dataset is corrupted due to https://github.com/huggingface/datasets/pull/4081 (fixed now).
@NielsRogge Could you please re-generate and re-push this dataset (or I can do it if you share the generation script)? | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 36 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Could you put something in place to catch these problems? I'm seeing this on another dataset consistently too and I guess I can't fix it in code? | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 27 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Hey,
Yes the notebook I used to upload this dataset can be found here: https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing.
If you have time to regenerate the dataset, would be great. | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 26 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Sorry, maybe I wasn't clear enough that it's a different dataset `laion2B-multi-joined-translated-to-en`. I think there should be checks in the upload, tests on the server, or validation after download (hashes) to catch these problems.
Lots of bandwidth wasted otherwise! /cc @mariosasko | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 41 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Yes @alexjc sorry was more a reply to @JeanKaddour.
And indeed it'd be great to have additional checks to avoid these errors. | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 22 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Hi,
It seems the problem is still persist. I have encountered the exact same problem using just 2 line of code above.
The error code is as follows:
```
發生例外狀況: DatasetGenerationError
An error occurred while generating the dataset
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the... | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 88 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Yes for the moment refer to the notebook linked above if you want to create a HF dataset yourself | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 19 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4886 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid | Hi @NielsRogge ,
I can help to push the dataset to the cloud. However, I cannot locate the situation so far. I wonder if
1. the downloaded files so far has corruption s.t. the file cannot generate properly, or
2. the downloaded files has no bug, the bug is caused by buggy upload program so that I can use what I hav... | ## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google.com/drive/141LJCcM2XyqprPY83nIQ-Zk3BbxWeahq?usp=sharing#... | 70 | Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Describe the bug
Loading huggan/CelebA-HQ throws pyarrow.lib.ArrowInvalid
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('huggan/CelebA-HQ')
```
## Expected results
See https://colab.research.google... |
https://github.com/huggingface/datasets/issues/4452 | Trying to load FEVER dataset results in NonMatchingChecksumError | Thanks for reporting @santhnm2. We are fixing it.
Data owners updated their URLs recently. We have to align with them, otherwise you do not download anything (that is why ignore_verifications does not work). | ## Describe the bug
Trying to load the `fever` dataset fails with `datasets.utils.info_utils.NonMatchingChecksumError`.
I tried with `download_mode="force_redownload"` but that did not fix the error. I also tried with `ignore_verification=True` but then that raised a `json.decoder.JSONDecodeError`.
## Steps to r... | 33 | Trying to load FEVER dataset results in NonMatchingChecksumError
## Describe the bug
Trying to load the `fever` dataset fails with `datasets.utils.info_utils.NonMatchingChecksumError`.
I tried with `download_mode="force_redownload"` but that did not fix the error. I also tried with `ignore_verification=True` but th... |
https://github.com/huggingface/datasets/issues/4452 | Trying to load FEVER dataset results in NonMatchingChecksumError | Hello! Is there any update on this? I am having the same issue 6 months later. | ## Describe the bug
Trying to load the `fever` dataset fails with `datasets.utils.info_utils.NonMatchingChecksumError`.
I tried with `download_mode="force_redownload"` but that did not fix the error. I also tried with `ignore_verification=True` but then that raised a `json.decoder.JSONDecodeError`.
## Steps to r... | 16 | Trying to load FEVER dataset results in NonMatchingChecksumError
## Describe the bug
Trying to load the `fever` dataset fails with `datasets.utils.info_utils.NonMatchingChecksumError`.
I tried with `download_mode="force_redownload"` but that did not fix the error. I also tried with `ignore_verification=True` but th... |
https://github.com/huggingface/datasets/issues/5647 | Make all print statements optional | We now log these messages instead of printing them (addressed in #6019), so I'm closing this issue. | ### Feature request
Make all print statements optional to speed up the development
### Motivation
Im loading multiple tiny datasets and all the print statements make the loading slower
### Your contribution
I can help contribute | 17 | Make all print statements optional
### Feature request
Make all print statements optional to speed up the development
### Motivation
Im loading multiple tiny datasets and all the print statements make the loading slower
### Your contribution
I can help contribute
We now log these messages instead of printing them ... |
https://github.com/huggingface/datasets/issues/7756 | datasets.map(f, num_proc=N) hangs with N>1 when run on import | Hii !! Frosh from India taking issue #7756.
Plan - Add try/except multiprocessing. Start Method, Context + Fallback to num_proc = 1.
Forked, coding now... PR in a few | ### Describe the bug
If you `import` a module that runs `datasets.map(f, num_proc=N)` at the top-level, Python hangs.
### Steps to reproduce the bug
1. Create a file that runs datasets.map at the top-level:
```bash
cat <<EOF > import_me.py
import datasets
the_dataset = datasets.load_dataset("openai/openai_humanev... | 29 | datasets.map(f, num_proc=N) hangs with N>1 when run on import
### Describe the bug
If you `import` a module that runs `datasets.map(f, num_proc=N)` at the top-level, Python hangs.
### Steps to reproduce the bug
1. Create a file that runs datasets.map at the top-level:
```bash
cat <<EOF > import_me.py
import datase... |
https://github.com/huggingface/datasets/issues/7777 | push_to_hub not overwriting but stuck in a loop when there are existing commits | HTTP 412 means a commit happened in the meantime, so `get_deletions_and_dataset_card` has to retry to get the latest version of the dataset card and what files to delete based on the latest version of the dataset repository
Are you running other operations in the dataset repo for your push_to_hub ? | ### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use push_to_hub, ran twice each time with different content for datasets.Dataset.
The... | 50 | push_to_hub not overwriting but stuck in a loop when there are existing commits
### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use p... |
https://github.com/huggingface/datasets/issues/7777 | push_to_hub not overwriting but stuck in a loop when there are existing commits | There was only a map() followed by a push_to_hub(). The repo had one prior commit also by using push_to_hub(). The error disappeared when I downgraded datasets to 4.0.0. | ### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use push_to_hub, ran twice each time with different content for datasets.Dataset.
The... | 28 | push_to_hub not overwriting but stuck in a loop when there are existing commits
### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use p... |
https://github.com/huggingface/datasets/issues/7777 | push_to_hub not overwriting but stuck in a loop when there are existing commits | It is reproducible if you use finegrained token with Read+Write (Open pull request) access to only that repo. | ### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use push_to_hub, ran twice each time with different content for datasets.Dataset.
The... | 18 | push_to_hub not overwriting but stuck in a loop when there are existing commits
### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use p... |
https://github.com/huggingface/datasets/issues/4642 | Streaming issue for ccdv/pubmed-summarization | Thanks for reporting @lewtun.
I confirm there is an issue with streaming: it does not stream locally. | ### Link
https://huggingface.co/datasets/ccdv/pubmed-summarization
### Description
This was reported by a [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/7). It seems like streaming doesn't work due to the way the dataset loading script is defined?
```
Status c... | 17 | Streaming issue for ccdv/pubmed-summarization
### Link
https://huggingface.co/datasets/ccdv/pubmed-summarization
### Description
This was reported by a [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/7). It seems like streaming doesn't work due to the way the datas... |
https://github.com/huggingface/datasets/issues/4642 | Streaming issue for ccdv/pubmed-summarization | Oh, after investigation, the source of the issue is in the Hub dataset loading script.
I'm opening a PR on the Hub dataset. | ### Link
https://huggingface.co/datasets/ccdv/pubmed-summarization
### Description
This was reported by a [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/7). It seems like streaming doesn't work due to the way the dataset loading script is defined?
```
Status c... | 23 | Streaming issue for ccdv/pubmed-summarization
### Link
https://huggingface.co/datasets/ccdv/pubmed-summarization
### Description
This was reported by a [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/7). It seems like streaming doesn't work due to the way the datas... |
https://github.com/huggingface/datasets/issues/5768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | I am not able to reproduce your issue: the dataset loads perfectly on my local machine and on a Colab notebook: https://colab.research.google.com/drive/1Fbdoa1JdNz8DOdX6gmIsOK1nCT8Abj4O?usp=sharing
```python
In [1]: from datasets import load_dataset
In [2]: ds = load_dataset("squad")
Downloading builder script: 1... | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | 134 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1
### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.... |
https://github.com/huggingface/datasets/issues/5768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | I am at a complete loss for what's happening here. A quick summary, I have 3 machines to try this with:
1) My windows 10 laptop
2) Linux machine1, super computer login node
3) Linux machine2, super computer compute node
Let's define the following as a test script for the machines:
```
import traceback
import... | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | 1,237 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1
### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.... |
https://github.com/huggingface/datasets/issues/5768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | I'm back on linux machine 1 (login node) now. After submitting that as a job to machine 2 and it failing with TypeError, linux machine 1 now produces identical traceback to machine 2:
> (arkroyal) [yr3g17@cyan52 squad_qanswering]$ python
> Python 3.10.8 (main, Nov 24 2022, 14:13:03) [GCC 11.2.0] on linux
> Type "h... | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | 156 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1
### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.... |
https://github.com/huggingface/datasets/issues/5768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | I see this is quite a complex use case...
Let's try multiple things:
- First, update `datasets` and make sure you use the same version in all machines, so that we can easily compare different behaviors.
```
pip install -U datasets
```
- Second, wherever you run the `load_dataset("squad")` command, make su... | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | 244 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1
### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.... |
https://github.com/huggingface/datasets/issues/5768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | Additionally, we just had an infrastructure issue on the Hugging Face Hub at around 11:30 today. That might have contributed to the connectivity issue... It is fixed now.
https://status.huggingface.co/ | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | 29 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1
### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.... |
https://github.com/huggingface/datasets/issues/5768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | Hi again, thanks for your help and insight Albert Villanova.
It's all working now, so thank you for that. For the benefit of anyone else who ends up in this thread, I solved the problem by addressing Albert's advice:
(1) Both Windows and Linux machine 1 (have internet access) and can now access the SQuAD dataset.... | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | 272 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1
### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.... |
https://github.com/huggingface/datasets/issues/7612 | Provide an option of robust dataset iterator with error handling | Hi ! Maybe we can add a parameter to the Image() type to make it to return `None` instead of raising an error in case of corruption ? Would that help ? | ### Feature request
Adding an option to skip corrupted data samples. Currently the datasets behavior is throwing errors if the data sample if corrupted and let user aware and handle the data corruption. When I tried to try-catch the error at user level, the iterator will raise StopIteration when I called next() again.... | 32 | Provide an option of robust dataset iterator with error handling
### Feature request
Adding an option to skip corrupted data samples. Currently the datasets behavior is throwing errors if the data sample if corrupted and let user aware and handle the data corruption. When I tried to try-catch the error at user level, ... |
https://github.com/huggingface/datasets/issues/7612 | Provide an option of robust dataset iterator with error handling | Hi! 👋🏼 I just opened PR [#7638](https://github.com/huggingface/datasets/pull/7638) to address this issue.
### 🔧 What it does:
It adds an `ignore_decode_errors` flag to the `Image` feature. When set to `True`, corrupted image samples will be skipped (with a warning), and `None` will be returned instead of raising an... | ### Feature request
Adding an option to skip corrupted data samples. Currently the datasets behavior is throwing errors if the data sample if corrupted and let user aware and handle the data corruption. When I tried to try-catch the error at user level, the iterator will raise StopIteration when I called next() again.... | 131 | Provide an option of robust dataset iterator with error handling
### Feature request
Adding an option to skip corrupted data samples. Currently the datasets behavior is throwing errors if the data sample if corrupted and let user aware and handle the data corruption. When I tried to try-catch the error at user level, ... |
https://github.com/huggingface/datasets/issues/3735 | Performance of `datasets` at scale | The most surprising part to me is the saving time. Wondering if it could be due to compression (`ParquetWriter` uses SNAPPY compression by default; it can be turned off with `to_parquet(..., compression=None)`). | # Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of the library.
## Dataset
The da... | 32 | Performance of `datasets` at scale
# Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of... |
https://github.com/huggingface/datasets/issues/3735 | Performance of `datasets` at scale | +1 to what @mariosasko mentioned. Also, @lvwerra did you parallelize `to_parquet` using similar approach in #2747? (we used multiprocessing at the shard level). I'm working on a similar PR to add multi_proc in `to_parquet` which might give you further speed up.
Stas benchmarked his approach and mine in this [gist](ht... | # Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of the library.
## Dataset
The da... | 63 | Performance of `datasets` at scale
# Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of... |
https://github.com/huggingface/datasets/issues/3735 | Performance of `datasets` at scale | @mariosasko I did not turn it off but I can try the next time - I have to run the pipeline again, anyway.
@bhavitvyamalik Yes, I also sharded the dataset and used multiprocessing to save each shard. I'll have a closer look at your approach, too. | # Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of the library.
## Dataset
The da... | 46 | Performance of `datasets` at scale
# Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of... |
https://github.com/huggingface/datasets/issues/3735 | Performance of `datasets` at scale | Is there a way to read from the cache files directly as a dataset in its own | # Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of the library.
## Dataset
The da... | 17 | Performance of `datasets` at scale
# Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of... |
https://github.com/huggingface/datasets/issues/5475 | Dataset scan time is much slower than using native arrow | Hi ! In your code you only iterate on the Arrow buffers - you don't actually load the data as python objects. For a fair comparison, you can modify your code using:
```diff
- for _ in range(0, len(table), bsz):
- _ = {k:table[k][_ : _ + bsz] for k in cols}
+ for _ in range(0, len(table), bsz):
+ ... | ### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing that exp... | 85 | Dataset scan time is much slower than using native arrow
### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orde... |
https://github.com/huggingface/datasets/issues/5475 | Dataset scan time is much slower than using native arrow | Ah I see, datasets is implicitly making this conversion. Thanks for pointing that out!
If it's not too much, I would also suggest updating some of your docs with the same `.to_pylist()` conversion in the code snippet that follows [here](https://huggingface.co/course/chapter5/4?fw=pt#:~:text=let%E2%80%99s%20run%20a%2... | ### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing that exp... | 40 | Dataset scan time is much slower than using native arrow
### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orde... |
https://github.com/huggingface/datasets/issues/5475 | Dataset scan time is much slower than using native arrow | This code snippet shows `datasets` code that reads the Arrow data as python objects already, there is no need to add to_pylist. Or were you thinking about something else ? | ### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing that exp... | 30 | Dataset scan time is much slower than using native arrow
### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orde... |
https://github.com/huggingface/datasets/issues/6348 | Parquet stream-conversion fails to embed images/audio files from gated repos | I have created a project to stream audio in the datasets viewer on Hugging Face using Parquet.
https://github.com/pr0mila/ParquetToHuggingFace | it seems to be an issue with datasets not passing the token to embed_table_storage when generating a dataset
See https://github.com/huggingface/datasets-server/issues/2010 | 18 | Parquet stream-conversion fails to embed images/audio files from gated repos
it seems to be an issue with datasets not passing the token to embed_table_storage when generating a dataset
See https://github.com/huggingface/datasets-server/issues/2010
I have created a project to stream audio in the datasets viewer on H... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | <img width="519" alt="Capture d’écran 2022-09-20 à 22 33 47" src="https://user-images.githubusercontent.com/1676121/191358952-1220cb7d-745a-4203-a66b-3c707b25038f.png">
```
Not found.
Error code: SplitsResponseNotFound
```
https://datasets-server.huggingface.co/splits?dataset=asapp/slue
```json
{"err... | ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 22 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
<img width="519" alt="Capture d’écran 2022-09-20 à 22 33 47" src="https://user-images.githubuser... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | I just launched a refresh. It's weird, I don't see any entry for this dataset in the cache, it's a bug on our side. In order to try to understand what happened, did you change the visibility status from private to public, by any chance? | ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 45 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
I just launched a refresh. It's weird, I don't see any entry for this dataset in the cache, it's a... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | The dataset is being refreshed, please retry later.
<img width="802" alt="Capture d’écran 2022-09-20 à 22 39 46" src="https://user-images.githubusercontent.com/1676121/191360072-7cc86486-4e84-4b47-8f9a-4a69fe84a5ac.png">
| ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 18 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
The dataset is being refreshed, please retry later.
<img width="802" alt="Capture d’écran 2022... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | OK. We now have an issue because the dataset cannot be streamed, and the dataset viewer relies on it.
Maybe @huggingface/datasets can help:
```
Error code: StreamingRowsError
Exception: NotImplementedError
Message: Extraction protocol for TAR archives like 'https://public-dataset-model-store.awsdev.a... | ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 180 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
OK. We now have an issue because the dataset cannot be streamed, and the dataset viewer relies on ... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | Thanks @severo,
Do I have to modify the python script to support streaming so that it can be previewed?
Is there a document somewhere that I can follow?
| ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 28 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
Thanks @severo,
Do I have to modify the python script to support streaming so that it can be p... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | Hi @fwu-asapp thanks for reporting, and thanks @severo for the investigation.
As explained by @severo, the preview requires that your dataset loading script supports streaming.
There are several options here:
- the easiest would be to replace the source files, archived using ZIP instead TAR: the TAR format does ... | ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 198 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
Hi @fwu-asapp thanks for reporting, and thanks @severo for the investigation.
As explained by @... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | Thanks @albertvillanova for your clarification. I'll talk to my collaborators to see if we can replace those files. Let me just close this issue for now. | ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 26 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
Thanks @albertvillanova for your clarification. I'll talk to my collaborators to see if we can rep... |
https://github.com/huggingface/datasets/issues/5000 | Dataset Viewer issue for asapp/slue | FYI, after replacing the source files with the ZIP ones, the dataset viewer works well. Thanks again to @severo and @albertvillanova for your help! | ### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes | 24 | Dataset Viewer issue for asapp/slue
### Link
https://huggingface.co/datasets/asapp/slue/viewer/
### Description
Hi,
I wonder how to get the dataset viewer of our slue dataset to work.
Best,
Felix
### Owner
Yes
FYI, after replacing the source files with the ZIP ones, the dataset viewer works well. Thanks aga... |
https://github.com/huggingface/datasets/issues/5243 | Download only split data | Hi @capsabogdan! Unfortunately, it's hard to implement because quite often datasets data is being hosted in a single archive for all splits :( So we have to download the whole archive to split it into splits. This is the case for CommonVoice too.
However, for cases when data is distributed in separate archives ащк ... | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | 112 | Download only split data
### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en",... |
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