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https://github.com/huggingface/datasets/issues/5288 | Lossy json serialization - deserialization of dataset info | Hi ! JSON is a lossy format indeed. If you want to keep the feature types or other metadata I'd encourage you to store them as well. For example you can use `dataset.info.write_to_directory` and `DatasetInfo.from_directory` to store the feature types, split info, description, license etc. | ### Describe the bug
Saving a dataset to disk as json (using `to_json`) and then loading it again (using `load_dataset`) results in features whose labels are not type-cast correctly. In the code snippet below, `features.label` should have a label of type `ClassLabel` but has type `Value` instead.
### Steps to re... | 45 | Lossy json serialization - deserialization of dataset info
### Describe the bug
Saving a dataset to disk as json (using `to_json`) and then loading it again (using `load_dataset`) results in features whose labels are not type-cast correctly. In the code snippet below, `features.label` should have a label of type `C... |
https://github.com/huggingface/datasets/issues/5997 | extend the map function so it can wrap around long text that does not fit in the context window | I just noticed the [docs](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2881C11-L2881C200) say:
>If batched is `True` and `batch_size` is `n > 1`, then the function takes a batch of `n` examples as input and can return a batch with `n` examples, or with an arbitrary number of examp... | ### Feature request
I understand `dataset` provides a [`map`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2849) function. This function in turn takes in a callable that is used to tokenize the text on which a model is trained. Frequently this text will not fit within a models's con... | 49 | extend the map function so it can wrap around long text that does not fit in the context window
### Feature request
I understand `dataset` provides a [`map`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2849) function. This function in turn takes in a callable that is used to tokeni... |
https://github.com/huggingface/datasets/issues/5997 | extend the map function so it can wrap around long text that does not fit in the context window | All the values in a batch must be of the same length. So one solution is dropping all the input columns:
```python
data = data.map(lambda samples: tokenizer(samples["text"], max_length=tokenizer.model_max_length, truncation=True, stride=4, return_overflowing_tokens=True), batched=True, remove_columns=data.column_name... | ### Feature request
I understand `dataset` provides a [`map`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2849) function. This function in turn takes in a callable that is used to tokenize the text on which a model is trained. Frequently this text will not fit within a models's con... | 46 | extend the map function so it can wrap around long text that does not fit in the context window
### Feature request
I understand `dataset` provides a [`map`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2849) function. This function in turn takes in a callable that is used to tokeni... |
https://github.com/huggingface/datasets/issues/5537 | Increase speed of data files resolution | You were right, if `self.dir_cache` is not None in glob, it is exactly the same as what is returned by find, at least for all the tests we have, and some extended evaluation I did across a random sample of about 1000 datasets.
Thanks for the nice hints, and let me know if this is not exactly what we want here!
s... | Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files.
This comes from `res... | 64 | Increase speed of data files resolution
Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all... |
https://github.com/huggingface/datasets/issues/5537 | Increase speed of data files resolution | I think we can make the data files resolution (significantly) faster in 2 steps:
1. `glob` calls `find` (which in turn calls `ls`), so we need `find` to be fast, and this can be achieved by fetching all the entries in a single API call and avoiding calls to `ls`. Implementing this for `HfFileSystem.find` (the one in... | Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files.
This comes from `res... | 135 | Increase speed of data files resolution
Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all... |
https://github.com/huggingface/datasets/issues/5537 | Increase speed of data files resolution | Good idea :)
For 2:
That would work ! It's also possible to have a FileSystem with a cache on `.find` and use it inside the resolver passed to `_get_data_files_patterns`. Right now they're pretty simple:
```python
# for remote repositories
resolver = partial(_resolve_single_pattern_in_dataset_repository, da... | Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files.
This comes from `res... | 53 | Increase speed of data files resolution
Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all... |
https://github.com/huggingface/datasets/issues/5537 | Increase speed of data files resolution | something like this maybe (with Quentin's reimplementation of `HfFilesystem.find`)?
```
@lru_cache(max_size=None)
def _find(self, path, maxdepth=None, withdirs=False, detail=False, **kwargs):
```
In any case please let me know if I can help in any way! | Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files.
This comes from `res... | 33 | Increase speed of data files resolution
Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all... |
https://github.com/huggingface/datasets/issues/5886 | Use work-stealing algorithm when parallel computing | Alternatively we could set the number of shards to be a factor than the number of processes (current they're equal) - this way it will be less likely to end up with a shard that is significantly slower than all the other ones. | ### Feature request
when i used Dataset.map api to process data concurrently, i found that
it gets slower and slower as it gets closer to completion. Then i read the source code of arrow_dataset.py and found that it shard the dataset and use multiprocessing pool to execute each shard.It may cause the slowest task ... | 43 | Use work-stealing algorithm when parallel computing
### Feature request
when i used Dataset.map api to process data concurrently, i found that
it gets slower and slower as it gets closer to completion. Then i read the source code of arrow_dataset.py and found that it shard the dataset and use multiprocessing pool ... |
https://github.com/huggingface/datasets/issues/4635 | Dataset Viewer issue for vadis/sv-ident | Thanks for reporting, @e-tornike
Some context:
- #4527
The dataset loads locally in streaming mode:
```python
In [2]: from datasets import load_dataset; ds = load_dataset("vadis/sv-ident", split="validation", streaming=True); item = next(iter(ds)); item
Using custom data configuration default
Out[2]:
{'s... | ### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No response_ | 75 | Dataset Viewer issue for vadis/sv-ident
### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No... |
https://github.com/huggingface/datasets/issues/4635 | Dataset Viewer issue for vadis/sv-ident | ~~I have forced the refresh of the split in the preview without success.~~
I have forced the refresh of the split in the preview, and now it works. | ### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No response_ | 28 | Dataset Viewer issue for vadis/sv-ident
### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No... |
https://github.com/huggingface/datasets/issues/4635 | Dataset Viewer issue for vadis/sv-ident | OK, thank you @e-tornike.
Apparently, after forcing the refresh, we just had to wait a little until it is effectively refreshed. | ### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No response_ | 21 | Dataset Viewer issue for vadis/sv-ident
### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No... |
https://github.com/huggingface/datasets/issues/4635 | Dataset Viewer issue for vadis/sv-ident | I'm closing this issue as it was solved after forcing the refresh of the split in the preview. | ### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No response_ | 18 | Dataset Viewer issue for vadis/sv-ident
### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | Default `writer_batch_size `is set to 1000 (see [map](https://huggingface.co/docs/datasets/v2.16.1/en/package_reference/main_classes#datasets.Dataset.map)).
The "tmp1335llua" is probably the temp file it creates while writing to disk.
Maybe try lowering the `writer_batch_size`.
For multi-processing you should prob... | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 66 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | Hi @Modexus,
Thank you very much for the help! Yep after playing around with map, I managed to get the parallel processing to work by implementing it like you suggested.
Regarding the temp files, it seems like the temp files just keep growing in size as the map continues. Eventually, once map finishes, the temp f... | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 171 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | I'm having a similar issue with the spectrographs taking up an incredibly large amount of space. (i.e. 100GB for 3GB of audio). Is this really normal behavior? | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 27 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | Upon taking a look at the hex contents of the mapped dataset files I found that the overwhelming majority of the data contained within them was duplicated junk similar to this. I'm not very familiar with the inner workings of AI but I have to assume this is an inefficient way of storing data at best and a bug at worst.... | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 62 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | Same problem, dataset.map takes long time to process 12GB raw audio data and create 200GB cache file. Is there any method can run process(map) during train, instead current run
once and save cache file ? | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 35 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | Same issue here. Just trying to normalise image data for a 300MB dataset, ends up with an 11GB cache. The initial .map() call takes 80s over the 15000 images, but then simply iterating over the dataset takes almost 2 minutes. It should be doing no processing here! Something seems wrong.
keep_in_memory=True also offers... | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 86 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | @eufrizz How you handle this using set_transform?
I have a really big dataset of size 1.2TB and i am going to use it for fine-tunning whisper model. if i use map for dataset_preparing function it will take over 20 days!!! | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 40 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/6789 | Issue with map | > @eufrizz How you handle this using set_transform?
> I have a really big dataset of size 1.2TB and i am going to use it for fine-tunning whisper model. if i use map for dataset_preparing function it will take over 20 days!!!
Just give the preprocessing function you were using for map to set_transform. Just look at th... | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | 82 | Issue with map
### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space... |
https://github.com/huggingface/datasets/issues/3959 | Medium-sized dataset conversion from pandas causes a crash | Hi ! It looks like an issue with pyarrow, could you try updating pyarrow and try again ? | Hi, I am suffering from the following issue:
## Describe the bug
Conversion to arrow dataset from pandas dataframe of a certain size deterministically causes the following crash:
```
File "/home/datasets_crash.py", line 7, in <module>
arrow=datasets.Dataset.from_pandas(d)
File "/home/.conda/envs/tools... | 18 | Medium-sized dataset conversion from pandas causes a crash
Hi, I am suffering from the following issue:
## Describe the bug
Conversion to arrow dataset from pandas dataframe of a certain size deterministically causes the following crash:
```
File "/home/datasets_crash.py", line 7, in <module>
arrow=data... |
https://github.com/huggingface/datasets/issues/3959 | Medium-sized dataset conversion from pandas causes a crash | I´m getting the same problem with some files, @albertvillanova did you find a solution to this? | Hi, I am suffering from the following issue:
## Describe the bug
Conversion to arrow dataset from pandas dataframe of a certain size deterministically causes the following crash:
```
File "/home/datasets_crash.py", line 7, in <module>
arrow=datasets.Dataset.from_pandas(d)
File "/home/.conda/envs/tools... | 16 | Medium-sized dataset conversion from pandas causes a crash
Hi, I am suffering from the following issue:
## Describe the bug
Conversion to arrow dataset from pandas dataframe of a certain size deterministically causes the following crash:
```
File "/home/datasets_crash.py", line 7, in <module>
arrow=data... |
https://github.com/huggingface/datasets/issues/6239 | Load local audio data doesn't work | I think this is the same issue as https://github.com/huggingface/datasets/issues/4776. Maybe installing `ffmpeg` can fix it:
```python
add-apt-repository -y ppa:savoury1/ffmpeg4
apt-get -qq install -y ffmpeg
```
However, the best solution is to use a newer version of `datasets`. In the recent releases, we've rep... | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | 53 | Load local audio data doesn't work
### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```... |
https://github.com/huggingface/datasets/issues/5428 | Load/Save FAISS index using fsspec | Hi! Sure, feel free to submit a PR. Maybe if we want to be consistent with the existing API, it would be cleaner to directly add support for `fsspec` paths in `Dataset.load_faiss_index`/`Dataset.save_faiss_index` in the same manner as it was done in `Dataset.load_from_disk`/`Dataset.save_to_disk`. | ### Feature request
From what I understand `faiss` already support this [link](https://github.com/facebookresearch/faiss/wiki/Index-IO,-cloning-and-hyper-parameter-tuning#generic-io-support)
I would like to use a stream as input to `Dataset.load_faiss_index` and `Dataset.save_faiss_index`.
### Motivation
In... | 42 | Load/Save FAISS index using fsspec
### Feature request
From what I understand `faiss` already support this [link](https://github.com/facebookresearch/faiss/wiki/Index-IO,-cloning-and-hyper-parameter-tuning#generic-io-support)
I would like to use a stream as input to `Dataset.load_faiss_index` and `Dataset.save_fa... |
https://github.com/huggingface/datasets/issues/7660 | AttributeError: type object 'tqdm' has no attribute '_lock' | Deleting a class (**not instance**) attribute might be invalid in this case, which is `tqdm` doing in `ensure_lock`.
```python
from tqdm import tqdm as old_tqdm
class tqdm1(old_tqdm):
def __delattr__(self, attr):
try:
super().__delattr__(attr)
except AttributeError:
if att... | ### Describe the bug
`AttributeError: type object 'tqdm' has no attribute '_lock'`
It occurs when I'm trying to load datasets in thread pool.
Issue https://github.com/huggingface/datasets/issues/6066 and PR https://github.com/huggingface/datasets/pull/6067 https://github.com/huggingface/datasets/pull/6068 tried to f... | 64 | AttributeError: type object 'tqdm' has no attribute '_lock'
### Describe the bug
`AttributeError: type object 'tqdm' has no attribute '_lock'`
It occurs when I'm trying to load datasets in thread pool.
Issue https://github.com/huggingface/datasets/issues/6066 and PR https://github.com/huggingface/datasets/pull/6067 ... |
https://github.com/huggingface/datasets/issues/7660 | AttributeError: type object 'tqdm' has no attribute '_lock' | A cheaper option (seems to work in my case):
```python
from datasets import tqdm as hf_tqdm
hf_tqdm.set_lock(hf_tqdm.get_lock())
``` | ### Describe the bug
`AttributeError: type object 'tqdm' has no attribute '_lock'`
It occurs when I'm trying to load datasets in thread pool.
Issue https://github.com/huggingface/datasets/issues/6066 and PR https://github.com/huggingface/datasets/pull/6067 https://github.com/huggingface/datasets/pull/6068 tried to f... | 18 | AttributeError: type object 'tqdm' has no attribute '_lock'
### Describe the bug
`AttributeError: type object 'tqdm' has no attribute '_lock'`
It occurs when I'm trying to load datasets in thread pool.
Issue https://github.com/huggingface/datasets/issues/6066 and PR https://github.com/huggingface/datasets/pull/6067 ... |
https://github.com/huggingface/datasets/issues/7518 | num_proc parallelization works only for first ~10s. | Hi, can you check if the processes are still alive ? It's a bit weird because `datasets` does check if processes crash and return an error in that case | ### Describe the bug
When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for most cores.
### Steps to reproduce the bug
```
// do... | 29 | num_proc parallelization works only for first ~10s.
### Describe the bug
When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for mos... |
https://github.com/huggingface/datasets/issues/7518 | num_proc parallelization works only for first ~10s. | Thank you for reverting quickly. I digged a bit, and realized my disk's IOPS is also limited - which is causing this. will check further and report if it's an issue of hf datasets' side or mine. | ### Describe the bug
When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for most cores.
### Steps to reproduce the bug
```
// do... | 37 | num_proc parallelization works only for first ~10s.
### Describe the bug
When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for mos... |
https://github.com/huggingface/datasets/issues/5402 | Missing state.json when creating a cloud dataset using a dataset_builder | `load_from_disk` must be used on datasets saved using `save_to_disk`: they correspond to fully serialized datasets including their state.
On the other hand, `download_and_prepare` just downloads the raw data and convert them to arrow (or parquet if you want). We are working on allowing you to reload a dataset saved ... | ### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session import AioSession as Session
from datasets import load_from_disk, load_da... | 66 | Missing state.json when creating a cloud dataset using a dataset_builder
### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session i... |
https://github.com/huggingface/datasets/issues/5402 | Missing state.json when creating a cloud dataset using a dataset_builder | Thanks, I'll follow that issue.
I was following the [cloud storage](https://huggingface.co/docs/datasets/filesystems) docs section and perhaps I'm missing some part of the flow; start with `load_dataset_builder` + `download_and_prepare`. You say I need an explicit `save_to_disk` but what object needs to be saved? t... | ### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session import AioSession as Session
from datasets import load_from_disk, load_da... | 50 | Missing state.json when creating a cloud dataset using a dataset_builder
### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session i... |
https://github.com/huggingface/datasets/issues/5402 | Missing state.json when creating a cloud dataset using a dataset_builder | Right now `load_dataset_builder` + `download_and_prepare` is to be used with tools like dask or spark, but `load_dataset` will support private cloud storage soon as well so you'll be able to reload the dataset with `datasets`.
Right now the only function that can load a dataset from a cloud storage is `load_from_dis... | ### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session import AioSession as Session
from datasets import load_from_disk, load_da... | 61 | Missing state.json when creating a cloud dataset using a dataset_builder
### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session i... |
https://github.com/huggingface/datasets/issues/6656 | Error when loading a big local json file | I get similar when dealing with a large jsonl file (6k lines),
> TypeError: Couldn't cast array of type timestamp[us] to null
Yet when I split it into 1k lines, files, load_dataset works fine!
https://github.com/huggingface/course/issues/692
| ### Describe the bug
When trying to load big json files from a local directory, `load_dataset` throws the following error
```
Traceback (most recent call last):
File "/miniconda3/envs/conda-env/lib/python3.10/site-packages/datasets/builder.py", line 1989, in _prepare_split_single
writer.write_table(table)
... | 35 | Error when loading a big local json file
### Describe the bug
When trying to load big json files from a local directory, `load_dataset` throws the following error
```
Traceback (most recent call last):
File "/miniconda3/envs/conda-env/lib/python3.10/site-packages/datasets/builder.py", line 1989, in _prepare_spl... |
https://github.com/huggingface/datasets/issues/5181 | Add a guide for semantic segmentation | I am considering `torchvision` and `albumentations`. Also [works with TensorFlow](https://github.com/deep-diver/segformer-tf-transformers/blob/main/notebooks/TFSegFormer_Finetune.ipynb).
I am assigning the issue to myself then. | Currently, we have these guides for object detection and image classification:
* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happy to contribute a PR for it.
Cc: @os... | 18 | Add a guide for semantic segmentation
Currently, we have these guides for object detection and image classification:
* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happy ... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | Hi ! Are you sure you have `datasets` 2.16 ? I just checked and on 2.16 I can run `from datasets.arrow_writer import SchemaInferenceError` without error | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 25 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | I have the same issue - using with datasets version 2.16.1. Also this is on a kaggle notebook - other people with the same issue also seem to be having it on kaggle? | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 33 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > Hi ! Are you sure you have `datasets` 2.16 ? I just checked and on 2.16 I can run `from datasets.arrow_writer import SchemaInferenceError` without error
Yes, I am sure
```
!pip show datasets
Name: datasets
Version: 2.16.1
Summary: HuggingFace community-driven open-source library of datasets
Home-page: http... | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 76 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > I have the same issue - using with datasets version 2.16.1. Also this is on a kaggle notebook - other people with the same issue also seem to be having it on kaggle?
Don't know about other people. But I am having this issue whose solution I can't find anywhere. And this issue still persists. | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 56 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > I have the same issue now and didn't have this problem around 2 weeks ago.
Same here | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 18 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | I was having the same issue but the datasets version was 2.6.1, after I updated it to latest(2.16), error is gone while importing.
| ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 23 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > I was having the same issue but the datasets version was 2.6.1, after I updated it to latest(2.16), error is gone while importing.
I also have datasets version 2.16, but the error is still there. | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 36 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > > Can you try re-installing `datasets` ?
>
> I tried re-installing. Still getting the same error.
In kaggle I used:
- `%pip install -U datasets`
and then restarted runtime and then everything works fine. | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 36 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > > > Can you try re-installing `datasets` ?
> >
> >
> > I tried re-installing. Still getting the same error.
>
> In kaggle I used:
>
> * `%pip install -U datasets`
> and then restarted runtime and then everything works fine.
Yes, this is working. When I restart the runtime after installing packages, i... | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 78 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > > > > Can you try re-installing `datasets` ?
> > >
> > >
> > > I tried re-installing. Still getting the same error.
> >
> >
> > In kaggle I used:
> >
> > * `%pip install -U datasets`
> > and then restarted runtime and then everything works fine.
>
> Yes, this is working. When I restart the runtime ... | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 98 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | > > > > > Can you try re-installing `datasets` ?
> > > >
> > > >
> > > > I tried re-installing. Still getting the same error.
> > >
> > >
> > > In kaggle I used:
> > >
> > > * `%pip install -U datasets`
> > > and then restarted runtime and then everything works fine.
> >
> >
> > Yes, this is workin... | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 157 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/6538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | Closing this issue as it is not related to the datasets library; rather, it's linked to platform-related issues. | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | 18 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)
### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transfor... |
https://github.com/huggingface/datasets/issues/7444 | Excessive warnings when resuming an IterableDataset+buffered shuffle+DDP. | I had a similar issue when loading the saved iterable dataset state to fast-forward to the mid-train location before resuming. This happened when I shuffled a concatenated dataset. A `iterable_data_state_dict.json` file was saved during checkpointing in the Trainer with:
```
def _save_rng_state(self, output_dir):
s... | ### Describe the bug
I have a large dataset that I shared into 1024 shards and save on the disk during pre-processing. During training, I load the dataset using load_from_disk() and convert it into an iterable dataset, shuffle it and split the shards to different DDP nodes using the recommended method.
However, when ... | 157 | Excessive warnings when resuming an IterableDataset+buffered shuffle+DDP.
### Describe the bug
I have a large dataset that I shared into 1024 shards and save on the disk during pre-processing. During training, I load the dataset using load_from_disk() and convert it into an iterable dataset, shuffle it and split the s... |
https://github.com/huggingface/datasets/issues/4247 | The data preview of XGLUE | Thanks for reporting @czq1999.
Note that the dataset viewer uses the dataset in streaming mode and that not all datasets support streaming yet.
That is the case for XGLUE dataset (as the error message points out): this must be refactored to support streaming. | It seems that something wrong with the data previvew of XGLUE | 43 | The data preview of XGLUE
It seems that something wrong with the data previvew of XGLUE
Thanks for reporting @czq1999.
Note that the dataset viewer uses the dataset in streaming mode and that not all datasets support streaming yet.
That is the case for XGLUE dataset (as the error message points out): this must be... |
https://github.com/huggingface/datasets/issues/5541 | Flattening indices in selected datasets is extremely inefficient | Running the script above on the branch https://github.com/huggingface/datasets/pull/5542 results in the expected behaviour:
```
Num chunks for original ds: 1
Original ds save/load
save_to_disk -- RAM memory used: 0.671875 MB -- Total time: 0.255265 s
load_from_disk -- RAM memory used: 42.796875 MB -- Total time: 0... | ### Describe the bug
If we perform a `select` (or `shuffle`, `train_test_split`, etc.) operation on a dataset , we end up with a dataset with an `indices_table`. Currently, flattening such dataset consumes a lot of memory and the resulting flat dataset contains ChunkedArrays with as many chunks as there are rows. Thi... | 117 | Flattening indices in selected datasets is extremely inefficient
### Describe the bug
If we perform a `select` (or `shuffle`, `train_test_split`, etc.) operation on a dataset , we end up with a dataset with an `indices_table`. Currently, flattening such dataset consumes a lot of memory and the resulting flat dataset ... |
https://github.com/huggingface/datasets/issues/6212 | Tilde (~) is not supported for data_files | Hi @exs-avianello, is it really needed? Note you can alternatively use `pathlib.Path` among others as it follows:
```python
import datasets
from pathlib import Path
# save a parquet file at ~/path/to/data.parquet
data_files = Path.home() / "path/to/data.parquet"
dataset = datasets.load_dataset("parquet", da... | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | 41 | Tilde (~) is not supported for data_files
### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing ... |
https://github.com/huggingface/datasets/issues/6212 | Tilde (~) is not supported for data_files | Hi @alvarobartt !
This is definitely just a "nice to have" and I am personally more than happy to just use absolute paths client-side. I just wanted to flag it up in case it can help improve the package even more 🙌 It might not be immediately obvious from the stack trace that the error is triggered by the `~` in t... | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | 63 | Tilde (~) is not supported for data_files
### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing ... |
https://github.com/huggingface/datasets/issues/4920 | Unable to load local tsv files through load_dataset method | Hi @DataNoob0723,
Under the hood, we use `pandas` to load CSV/TSV files. Therefore, you should use "csv" and pass `sep="\t"`, as explained in our docs: https://huggingface.co/docs/datasets/v2.4.0/en/package_reference/loading_methods#from-files
```python
ds = load_dataset('csv', sep="\t", data_files=data_files)
``... | ## Describe the bug
Unable to load local tsv files through load_dataset method.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
data_files = {
'train': 'train.tsv',
'test': 'test.tsv'
}
raw_datasets = load_dataset('tsv', data_files=data_files)
## Expected results
I am p... | 33 | Unable to load local tsv files through load_dataset method
## Describe the bug
Unable to load local tsv files through load_dataset method.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
data_files = {
'train': 'train.tsv',
'test': 'test.tsv'
}
raw_datasets = load_dataset('... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | Hi! I added a link to this issue in our internal request for adding keywords/topics to the Hub, which is identical to the `topic tags` solution. The `collections` solution seems too complex (as you point out). Regarding the `domain tags` solution, we primarily focus on machine learning, so I'm not sure if it's a good i... | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 63 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | > Hi! I added a link to this issue in our internal request for adding keywords/topics to the Hub, which is identical to the `topic tags` solution. The `collections` solution seems too complex (as you point out). Regarding the `domain tags` solution, we primarily focus on machine learning, so I'm not sure if it's a good... | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 84 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | Thanks for opening this issue @davanstrien.
As we discussed last week, the tag approach would be in principle the simpler to be implemented, either the domain tag (with closed vocabulary: more reliable but also more rigid), or the topic tag (with open vocabulary: more flexible for user needs) | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 48 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | Hi @davanstrien If i remember correctly this was also discussed inside a hf.co Discussion, would you be able to link it here too?
(where i suggested using `tags: - foo - bar` IIRC.
Thanks a ton! | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 36 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | > Hi @davanstrien If i remember correctly this was also discussed inside a hf.co Discussion, would you be able to link it here too?
>
> (where i suggested using `tags: - foo - bar` IIRC.
>
> Thanks a ton!
This doesn't ring a bell - I did a quick search of https://discuss.huggingface.co but didn't find anything... | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 91 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | I opened a PR to add "tags" to the YAML validator:
https://github.com/huggingface/datasets/pull/4716
I also added "tags" to the [tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), with suggestions like "bio" or "newspapers" | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 26 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | Thanks @lhoestq for the initiative.
Just one question: are "tags" already supported on the Hub?
I think they aren't. Thus, the Hub should support them so that they are properly displayed. | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 31 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | I think they're not displayed, but at least it should enable users to filter by tag in using `huggingface_hub` or using the appropriate query params on the website (not sure if it's possible yet though) | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 35 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/4702 | Domain specific dataset discovery on the Hugging Face hub | > I think they're not displayed, but at least it should enable users to filter by tag in using `huggingface_hub` or using the appropriate query params on the website (not sure if it's possible yet though)
I think this would already be a helpful start. I'm happy to try this out with the datasets added to https://hugg... | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | 68 | Domain specific dataset discovery on the Hugging Face hub
**Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There ... |
https://github.com/huggingface/datasets/issues/7360 | error when loading dataset in Hugging Face: NoneType error is not callable | Hi ! I couldn't reproduce on my side, can you try deleting your cache at `~/.cache/huggingface/modules/datasets_modules/datasets/InstaDeepAI--nucleotide_transformer_downstream_tasks_revised` and try again ? For some reason `datasets` wasn't able to find the DatasetBuilder class in the python script of this dataset | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | 38 | error when loading dataset in Hugging Face: NoneType error is not callable
### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (m... |
https://github.com/huggingface/datasets/issues/7360 | error when loading dataset in Hugging Face: NoneType error is not callable | I've met the same problem when importing [LongBench-v1](https://github.com/THUDM/LongBench/blob/main/LongBench/README.md). the debugger reports `dataset_module.builder_configs_parameters.builder_configs` as `None` so that no `builder_cls` gets created:
<img width="711" alt="Image" src="https://github.com/user-attachme... | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | 34 | error when loading dataset in Hugging Face: NoneType error is not callable
### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (m... |
https://github.com/huggingface/datasets/issues/7360 | error when loading dataset in Hugging Face: NoneType error is not callable | I tried downgrading `datasets` to v2.20.0 and it works fine now...
I think there might be some compatibility issues during code updates between `v2.20.0` and `v3.0.0` 🤔
also I suggest @nanu23333 to see if downgrading works. | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | 36 | error when loading dataset in Hugging Face: NoneType error is not callable
### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (m... |
https://github.com/huggingface/datasets/issues/7360 | error when loading dataset in Hugging Face: NoneType error is not callable | Found the same problem. When I tried to downgrade the datasets to version below v3.0.0, another problem was raised: `UnicodeDecodeError: 'utf-8' codec can't decode byte 0xb5 in position 1: invalid start byte` | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | 32 | error when loading dataset in Hugging Face: NoneType error is not callable
### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (m... |
https://github.com/huggingface/datasets/issues/7360 | error when loading dataset in Hugging Face: NoneType error is not callable |
when I use the pip install datasets==3.3, I come across the error。Then I
```
pip uninstall datasets
pip install datasets==2.21.0
```
It is OK now | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | 25 | error when loading dataset in Hugging Face: NoneType error is not callable
### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (m... |
https://github.com/huggingface/datasets/issues/6089 | AssertionError: daemonic processes are not allowed to have children | We could add a "threads" parallel backend to `datasets.parallel.parallel_backend` to support downloading with threads but note that `download_and_extract` also decompresses archives, and this is a CPU-intensive task, which is not ideal for (Python) threads (good for IO-intensive tasks). | ### Describe the bug
When I load_dataset with num_proc > 0 in a deamon process, I got an error:
```python
File "/Users/codingl2k1/Work/datasets/src/datasets/download/download_manager.py", line 564, in download_and_extract
return self.extract(self.download(url_or_urls))
^^^^^^^^^^^^^^^^^
File "/Users... | 38 | AssertionError: daemonic processes are not allowed to have children
### Describe the bug
When I load_dataset with num_proc > 0 in a deamon process, I got an error:
```python
File "/Users/codingl2k1/Work/datasets/src/datasets/download/download_manager.py", line 564, in download_and_extract
return self.extrac... |
https://github.com/huggingface/datasets/issues/6089 | AssertionError: daemonic processes are not allowed to have children | > We could add a "threads" parallel backend to `datasets.parallel.parallel_backend` to support downloading with threads but note that `download_and_extract` also decompresses archives, and this is a CPU-intensive task, which is not ideal for (Python) threads (good for IO-intensive tasks).
Great! Download takes more ... | ### Describe the bug
When I load_dataset with num_proc > 0 in a deamon process, I got an error:
```python
File "/Users/codingl2k1/Work/datasets/src/datasets/download/download_manager.py", line 564, in download_and_extract
return self.extract(self.download(url_or_urls))
^^^^^^^^^^^^^^^^^
File "/Users... | 58 | AssertionError: daemonic processes are not allowed to have children
### Describe the bug
When I load_dataset with num_proc > 0 in a deamon process, I got an error:
```python
File "/Users/codingl2k1/Work/datasets/src/datasets/download/download_manager.py", line 564, in download_and_extract
return self.extrac... |
https://github.com/huggingface/datasets/issues/7243 | ArrayXD with None as leading dim incompatible with DatasetCardData | It looks like `CardData` in `huggingface_hub` removes None values where it shouldn't. Indeed it calls `_remove_none` on the return of `to_dict()`:
```python
def to_dict(self) -> Dict[str, Any]:
"""Converts CardData to a dict.
Returns:
`dict`: CardData represented as a dictionary... | ### Describe the bug
Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Array2D, Dataset, Features, load_dataset
def examples_generator():... | 86 | ArrayXD with None as leading dim incompatible with DatasetCardData
### Describe the bug
Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Ar... |
https://github.com/huggingface/datasets/issues/7243 | ArrayXD with None as leading dim incompatible with DatasetCardData | I have actually no idea why none values are removed in model and dataset card data... :see_no_evil:
Looks like `_remove_none` has been introduced at the same time as the entire repocard module (see https://github.com/huggingface/huggingface_hub/pull/940). I would be tempted to remove `_remove_none` entirely actually a... | ### Describe the bug
Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Array2D, Dataset, Features, load_dataset
def examples_generator():... | 109 | ArrayXD with None as leading dim incompatible with DatasetCardData
### Describe the bug
Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Ar... |
https://github.com/huggingface/datasets/issues/4052 | metric = metric_cls( TypeError: 'NoneType' object is not callable | Hi @klyuhang9,
I'm sorry but I can't reproduce your problem:
```python
In [2]: metric = load_metric('glue', 'rte')
Downloading builder script: 5.76kB [00:00, 2.40MB/s]
```
Could you please, retry to load the metric? Sometimes there are temporary connectivity issues.
Feel free to re-open this issue of the p... | Hi, friend. I meet a problem.
When I run the code:
`metric = load_metric('glue', 'rte')`
There is a problem raising:
`metric = metric_cls(
TypeError: 'NoneType' object is not callable `
I don't know why. Thanks for your help!
| 48 | metric = metric_cls( TypeError: 'NoneType' object is not callable
Hi, friend. I meet a problem.
When I run the code:
`metric = load_metric('glue', 'rte')`
There is a problem raising:
`metric = metric_cls(
TypeError: 'NoneType' object is not callable `
I don't know why. Thanks for your help!
Hi @klyuhang9,... |
https://github.com/huggingface/datasets/issues/8029 | `cache_dir` option in `download_config` in `load_dataset` is not respected | Actually, I used debugger to step into the code of `datasets`, and found `load_dataset` calls into `cached_path`, where it calls into `hf_hub_download` method for `hf://` links:
https://github.com/huggingface/datasets/blob/6e8eaeed4d202b72eff44ba1a9ec5b7d81d2d3e6/src/datasets/utils/file_utils.py#L182-L195
Some breakpo... | ### Describe the bug
Downloaded files still go to `~/.cache/huggingface/hub/` even if I specified `cache_dir` option in `download_config` in `load_dataset`.
### Steps to reproduce the bug
Run my freshly written script and found that downloaded files did not go where I want.
```python
'''
下载OpenWebText数据集，允许使用代理
'''
... | 162 | `cache_dir` option in `download_config` in `load_dataset` is not respected
### Describe the bug
Downloaded files still go to `~/.cache/huggingface/hub/` even if I specified `cache_dir` option in `download_config` in `load_dataset`.
### Steps to reproduce the bug
Run my freshly written script and found that downloade... |
https://github.com/huggingface/datasets/issues/8029 | `cache_dir` option in `download_config` in `load_dataset` is not respected | That's a good point, and a PR to fix this would be very welcome. In the meantime you can set the `HF_HUB_CACHE` env variable, which tells where the cache for hub files lives | ### Describe the bug
Downloaded files still go to `~/.cache/huggingface/hub/` even if I specified `cache_dir` option in `download_config` in `load_dataset`.
### Steps to reproduce the bug
Run my freshly written script and found that downloaded files did not go where I want.
```python
'''
下载OpenWebText数据集，允许使用代理
'''
... | 33 | `cache_dir` option in `download_config` in `load_dataset` is not respected
### Describe the bug
Downloaded files still go to `~/.cache/huggingface/hub/` even if I specified `cache_dir` option in `download_config` in `load_dataset`.
### Steps to reproduce the bug
Run my freshly written script and found that downloade... |
https://github.com/huggingface/datasets/issues/6900 | [WebDataset] KeyError with user-defined `Features` when a field is missing in an example | It shouldn't be difficult, I think it's just a matter of adding the missing fields from `self.config.features` in `example` here: before it iterates on image_field_names and audio_field_names. A missing field should have a value set to None
https://github.com/huggingface/datasets/blob/768cb35ede5a6c35fa7545aa3671f3e... | reported at https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions/discussions/1
```
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 109, in _generate_examples
example[field_name] = {"path": example["_... | 38 | [WebDataset] KeyError with user-defined `Features` when a field is missing in an example
reported at https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions/discussions/1
```
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webda... |
https://github.com/huggingface/datasets/issues/6900 | [WebDataset] KeyError with user-defined `Features` when a field is missing in an example | @lhoestq So like this then?
```
def _generate_examples(self, tar_paths, tar_iterators):
image_field_names = [
field_name for field_name, feature in self.info.features.items() if isinstance(feature, datasets.Image)
]
audio_field_names = [
field_name for field_... | reported at https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions/discussions/1
```
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 109, in _generate_examples
example[field_name] = {"path": example["_... | 132 | [WebDataset] KeyError with user-defined `Features` when a field is missing in an example
reported at https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions/discussions/1
```
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webda... |
https://github.com/huggingface/datasets/issues/6900 | [WebDataset] KeyError with user-defined `Features` when a field is missing in an example | Yup this is the solution !
```python
for field_name in all_field_names:
if field_name not in example:
example[field_name] = None
``` | reported at https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions/discussions/1
```
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 109, in _generate_examples
example[field_name] = {"path": example["_... | 20 | [WebDataset] KeyError with user-defined `Features` when a field is missing in an example
reported at https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions/discussions/1
```
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webda... |
https://github.com/huggingface/datasets/issues/5968 | Common Voice datasets still need `use_auth_token=True` | The issue commes from the dataset itself and is not related to the `datasets` lib
see https://huggingface.co/datasets/mozilla-foundation/common_voice_6_1/blob/2c475b3b88e0f2e5828f830a4b91618a25ff20b7/common_voice_6_1.py#L148-L152 | ### Describe the bug
We don't need to pass `use_auth_token=True` anymore to download gated datasets or models, so the following should work if correctly logged in.
```py
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_6_1", "tr", split="train+validation")
```
However it throw... | 17 | Common Voice datasets still need `use_auth_token=True`
### Describe the bug
We don't need to pass `use_auth_token=True` anymore to download gated datasets or models, so the following should work if correctly logged in.
```py
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_6_1", "... |
https://github.com/huggingface/datasets/issues/5968 | Common Voice datasets still need `use_auth_token=True` | Addressed in:
* `mozilla-foundation/common_voice_1_0` [PR](https://huggingface.co/datasets/mozilla-foundation/common_voice_1_0/discussions/4)
* `mozilla-foundation/common_voice_2_0` [PR](https://huggingface.co/datasets/mozilla-foundation/common_voice_2_0/discussions/3)
* `mozilla-foundation/common_voice_3_0` [PR](... | ### Describe the bug
We don't need to pass `use_auth_token=True` anymore to download gated datasets or models, so the following should work if correctly logged in.
```py
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_6_1", "tr", split="train+validation")
```
However it throw... | 38 | Common Voice datasets still need `use_auth_token=True`
### Describe the bug
We don't need to pass `use_auth_token=True` anymore to download gated datasets or models, so the following should work if correctly logged in.
```py
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_6_1", "... |
https://github.com/huggingface/datasets/issues/4456 | Workflow for Tabular data | I use below to load a dataset:
```
dataset = datasets.load_dataset("scikit-learn/auto-mpg")
df = pd.DataFrame(dataset["train"])
```
TBH as said, tabular folk split their own dataset, they sometimes have two splits, sometimes three. Maybe somehow avoiding it for tabular datasets might be good for later. (it's just ... | Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array of features and y an arra... | 47 | Workflow for Tabular data
Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array... |
https://github.com/huggingface/datasets/issues/4456 | Workflow for Tabular data | is very slow batch access of a dataset (tabular, csv) with many columns to be expected? | Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array of features and y an arra... | 16 | Workflow for Tabular data
Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array... |
https://github.com/huggingface/datasets/issues/4456 | Workflow for Tabular data | ~20k! I was surprised batch loading with as few as 32 samples was really slow. I was speculating the columnar format was the cause -- or do you see good performance with this approx size of tabular data? | Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array of features and y an arra... | 38 | Workflow for Tabular data
Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array... |
https://github.com/huggingface/datasets/issues/4456 | Workflow for Tabular data | 20k can be a lot for a columnar format but maybe we can optimize a few things.
It would be cool to profile the code to see if there's an unoptimized part of the code that slows everything down.
(it's also possible to kill the job when it accesses the batch, it often gives you the traceback at the location where t... | Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array of features and y an arra... | 65 | Workflow for Tabular data
Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array... |
https://github.com/huggingface/datasets/issues/4456 | Workflow for Tabular data | @wconnell I'm not sure what you mean by my secret, I load them into a numpy array 😁
An example dataset is [here](https://portal.gdc.cancer.gov/repository?facetTab=files&filters=%7B%22content%22%3A%5B%7B%22content%22%3A%7B%22field%22%3A%22cases.project.project_id%22%2C%22value%22%3A%5B%22TCGA-CESC%22%5D%7D%2C%22op%... | Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array of features and y an arra... | 40 | Workflow for Tabular data
Tabular data are treated very differently than data for NLP, audio, vision, etc. and therefore the worflow for tabular data in `datasets` is not ideal.
For example for tabular data, it is common to use pandas/spark/dask to process the data, and then load the data into X and y (X is an array... |
https://github.com/huggingface/datasets/issues/3392 | Dataset viewer issue for `dansbecker/hackernews_hiring_posts` | This issue was fixed by me calling `all_datasets.push_to_hub("hackernews_hiring_posts")`.
The previous problems were from calling `all_datasets.save_to_disk` and then pushing with `my_repo.git_add` and `my_repo.push_to_hub`.
| ## Dataset viewer issue for `dansbecker/hackernews_hiring_posts`
**Link:** https://huggingface.co/datasets/dansbecker/hackernews_hiring_posts
*short description of the issue*
Dataset preview not showing for uploaded DatasetDict. See https://discuss.huggingface.co/t/dataset-preview-not-showing-for-uploaded-data... | 22 | Dataset viewer issue for `dansbecker/hackernews_hiring_posts`
## Dataset viewer issue for `dansbecker/hackernews_hiring_posts`
**Link:** https://huggingface.co/datasets/dansbecker/hackernews_hiring_posts
*short description of the issue*
Dataset preview not showing for uploaded DatasetDict. See https://discuss.... |
https://github.com/huggingface/datasets/issues/6765 | Compatibility issue between s3fs, fsspec, and datasets | Hi! Instead of running `pip install` separately for each package, you should pass all the packages to a single `pip install` call (in this case, `pip install datasets s3fs`) to let `pip` properly resolve their versions. | ### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18.0 requires fsspec[http]<=2024.2.0,>=2023.1.0, but you ... | 36 | Compatibility issue between s3fs, fsspec, and datasets
### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18... |
https://github.com/huggingface/datasets/issues/6765 | Compatibility issue between s3fs, fsspec, and datasets | > Hi! Instead of running `pip install` separately for each package, you should pass all the packages to a single `pip install` call (in this case, `pip install datasets s3fs`) to let `pip` properly resolve their versions.
Thanks so much! My inexperience with pip is showing 😆 🙈 | ### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18.0 requires fsspec[http]<=2024.2.0,>=2023.1.0, but you ... | 48 | Compatibility issue between s3fs, fsspec, and datasets
### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18... |
https://github.com/huggingface/datasets/issues/6765 | Compatibility issue between s3fs, fsspec, and datasets | > Hi! Instead of running `pip install` separately for each package, you should pass all the packages to a single `pip install` call (in this case, `pip install datasets s3fs`) to let `pip` properly resolve their versions.
you are awesome bro | ### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18.0 requires fsspec[http]<=2024.2.0,>=2023.1.0, but you ... | 41 | Compatibility issue between s3fs, fsspec, and datasets
### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18... |
https://github.com/huggingface/datasets/issues/6765 | Compatibility issue between s3fs, fsspec, and datasets | Hey, the suggestion by @mariosasko unfortunately only address this issue via pip. The original message was about poetry and I am still facing a dependency conflict with that.
The following command complains first about `fsspec` (`... no versions of fsspec match ...`) and then I get an error.
Command:
`poetry add... | ### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18.0 requires fsspec[http]<=2024.2.0,>=2023.1.0, but you ... | 87 | Compatibility issue between s3fs, fsspec, and datasets
### Describe the bug
Here is the full error stack when installing:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
datasets 2.18... |
https://github.com/huggingface/datasets/issues/5200 | Some links to canonical datasets in the docs are outdated | Thanks for catching this, I can go through the docs and replace the links to their corresponding datasets on the Hub! | As we don't have canonical datasets in the github repo anymore, some old links to them doesn't work. I don't know how many of them are there, I found link to SuperGlue here: https://huggingface.co/docs/datasets/dataset_script#multiple-configurations, probably there are more of them. These links should be replaced by li... | 21 | Some links to canonical datasets in the docs are outdated
As we don't have canonical datasets in the github repo anymore, some old links to them doesn't work. I don't know how many of them are there, I found link to SuperGlue here: https://huggingface.co/docs/datasets/dataset_script#multiple-configurations, probably th... |
https://github.com/huggingface/datasets/issues/5060 | Unable to Use Custom Dataset Locally | Hi ! I opened a PR in your repo to fix this :)
https://huggingface.co/datasets/zpn/pubchem_selfies/discussions/7
basically you need to use `open` for streaming to work properly | ## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it says
```
If the data files live in ... | 25 | Unable to Use Custom Dataset Locally
## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it s... |
https://github.com/huggingface/datasets/issues/5060 | Unable to Use Custom Dataset Locally | Thank you so much for this! Naive question, is this a feature of `open` or have you all overloaded it to be able to read from a URL? Any links to code/documentation would be greatly appreciated, I'd love to learn more | ## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it says
```
If the data files live in ... | 41 | Unable to Use Custom Dataset Locally
## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it s... |
https://github.com/huggingface/datasets/issues/5060 | Unable to Use Custom Dataset Locally | `datasets` extends `open` in dataset scripts to work with URLs. The builtin `open` from python only works with local files.
You can find the extension here: https://github.com/huggingface/datasets/blob/6ad430ba0cdeeb601170f732d4bd977f5c04594d/src/datasets/download/streaming_download_manager.py#L435-L451
I think w... | ## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it says
```
If the data files live in ... | 43 | Unable to Use Custom Dataset Locally
## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it s... |
https://github.com/huggingface/datasets/issues/6376 | Caching problem when deleting a dataset | I did not store it at the time but I'll try to re-do a mwe next week to get it again | ### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update... | 21 | Caching problem when deleting a dataset
### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, ... |
https://github.com/huggingface/datasets/issues/6376 | Caching problem when deleting a dataset | I haven't managed to reproduce this issue using a [notebook](https://colab.research.google.com/drive/1m6eduYun7pFTkigrCJAFgw0BghlbvXIL?usp=sharing) that follows the steps to reproduce the bug. So, I'm closing it.
But feel free to re-open it if you have a better reproducer. | ### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update... | 34 | Caching problem when deleting a dataset
### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, ... |
https://github.com/huggingface/datasets/issues/5261 | Add PubTables-1M | cc @albertvillanova the author would like to add this dataset to the hub: https://github.com/microsoft/table-transformer/issues/68#issuecomment-1319114621. Could you help him out? | ### Name
PubTables-1M
### Paper
https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html
### Data
https://github.com/microsoft/table-transformer
### Motivation
Table Transformer is now available in 🤗 Transforme... | 19 | Add PubTables-1M
### Name
PubTables-1M
### Paper
https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html
### Data
https://github.com/microsoft/table-transformer
### Motivation
Table Transformer is now available... |
https://github.com/huggingface/datasets/issues/7430 | Error in code "Time to slice and dice" from course "NLP Course" | You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind | ### Describe the bug
When we execute code
```
frequencies = (
train_df["condition"]
.value_counts()
.to_frame()
.reset_index()
.rename(columns={"index": "condition", "condition": "frequency"})
)
frequencies.head()
```
answer should be like this
condition | frequency
birth control | 27655
dep... | 21 | Error in code "Time to slice and dice" from course "NLP Course"
### Describe the bug
When we execute code
```
frequencies = (
train_df["condition"]
.value_counts()
.to_frame()
.reset_index()
.rename(columns={"index": "condition", "condition": "frequency"})
)
frequencies.head()
```
answer should be... |
https://github.com/huggingface/datasets/issues/4673 | load_datasets on csv returns everything as a string | Hi @courtneysprouse, thanks for reporting.
Yes, you are right: by default the "csv" loader loads all columns as strings.
You could tweak this behavior by passing the `feature` argument to `load_dataset`, but it is also true that currently it is not possible to perform some kind of casts, due to lacking of implem... | ## Describe the bug
If you use:
`conll_dataset.to_csv("ner_conll.csv")`
It will create a csv file with all of your data as expected, however when you load it with:
`conll_dataset = load_dataset("csv", data_files="ner_conll.csv")`
everything is read in as a string. For example if I look at everything in 'n... | 321 | load_datasets on csv returns everything as a string
## Describe the bug
If you use:
`conll_dataset.to_csv("ner_conll.csv")`
It will create a csv file with all of your data as expected, however when you load it with:
`conll_dataset = load_dataset("csv", data_files="ner_conll.csv")`
everything is read in a... |
https://github.com/huggingface/datasets/issues/4673 | load_datasets on csv returns everything as a string | > Hi @courtneysprouse, thanks for reporting.
>
> Yes, you are right: by default the "csv" loader loads all columns as strings.
>
> You could tweak this behavior by passing the `feature` argument to `load_dataset`, but it is also true that currently it is not possible to perform some kind of casts, due to lacking ... | ## Describe the bug
If you use:
`conll_dataset.to_csv("ner_conll.csv")`
It will create a csv file with all of your data as expected, however when you load it with:
`conll_dataset = load_dataset("csv", data_files="ner_conll.csv")`
everything is read in as a string. For example if I look at everything in 'n... | 441 | load_datasets on csv returns everything as a string
## Describe the bug
If you use:
`conll_dataset.to_csv("ner_conll.csv")`
It will create a csv file with all of your data as expected, however when you load it with:
`conll_dataset = load_dataset("csv", data_files="ner_conll.csv")`
everything is read in a... |
https://github.com/huggingface/datasets/issues/4185 | Librispeech documentation, clarification on format | The documentation in the code is definitely outdated - thanks for letting me know, I'll remove it in https://github.com/huggingface/datasets/pull/4184 .
You're exactly right `audio` `array` already decodes the audio file to the correct waveform. This is done on the fly, which is also why one should **not** do `ds["a... | https://github.com/huggingface/datasets/blob/cd3ce34ab1604118351e1978d26402de57188901/datasets/librispeech_asr/librispeech_asr.py#L53
> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not converted to a float32 array. To convert, the audi... | 61 | Librispeech documentation, clarification on format
https://github.com/huggingface/datasets/blob/cd3ce34ab1604118351e1978d26402de57188901/datasets/librispeech_asr/librispeech_asr.py#L53
> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not... |
https://github.com/huggingface/datasets/issues/4185 | Librispeech documentation, clarification on format | So, again to clarify: On disk, only the raw flac file content is stored? Is this also the case after `save_to_disk`?
And is it simple to also store it re-encoded as ogg or mp3 instead?
| https://github.com/huggingface/datasets/blob/cd3ce34ab1604118351e1978d26402de57188901/datasets/librispeech_asr/librispeech_asr.py#L53
> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not converted to a float32 array. To convert, the audi... | 35 | Librispeech documentation, clarification on format
https://github.com/huggingface/datasets/blob/cd3ce34ab1604118351e1978d26402de57188901/datasets/librispeech_asr/librispeech_asr.py#L53
> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not... |
https://github.com/huggingface/datasets/issues/4185 | Librispeech documentation, clarification on format | Hey,
Sorry yeah I was just about to look into this! We actually had an outdated version of Librispeech ASR that didn't save any files, but instead converted the audio files to a byte string, then was then decoded on-the-fly. This however is not very user-friendly so we recently decided to instead show the full path... | https://github.com/huggingface/datasets/blob/cd3ce34ab1604118351e1978d26402de57188901/datasets/librispeech_asr/librispeech_asr.py#L53
> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not converted to a float32 array. To convert, the audi... | 119 | Librispeech documentation, clarification on format
https://github.com/huggingface/datasets/blob/cd3ce34ab1604118351e1978d26402de57188901/datasets/librispeech_asr/librispeech_asr.py#L53
> Note that in order to limit the required storage for preparing this dataset, the audio
> is stored in the .flac format and is not... |
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