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https://github.com/huggingface/datasets/issues/4725 | the_pile datasets URL broken. | Great this is working now. Re the download from GitHub... I'm sure thought went into doing this but could it be made more clear maybe here? https://huggingface.co/docs/datasets/installation for example under installing from source? I spent over an hour questioning my sanity as I kept trying to edit this file, uninstall... | https://github.com/huggingface/datasets/pull/3627 changed the Eleuther AI Pile dataset URL from https://the-eye.eu/ to https://mystic.the-eye.eu/ but the latter is now broken and the former works again.
Note that when I git clone the repo and use `pip install -e .` and then edit the URL back the codebase doesn't se... | 63 | the_pile datasets URL broken.
https://github.com/huggingface/datasets/pull/3627 changed the Eleuther AI Pile dataset URL from https://the-eye.eu/ to https://mystic.the-eye.eu/ but the latter is now broken and the former works again.
Note that when I git clone the repo and use `pip install -e .` and then edit the U... |
https://github.com/huggingface/datasets/issues/4725 | the_pile datasets URL broken. | Thanks @TrentBrick for the suggestion about improving our docs: we should definitely do this if you find they are not clear enough.
Currently, our docs explain how to load a dataset from a local loading script here: [Load > Local loading script](https://huggingface.co/docs/datasets/loading#local-loading-script)
I... | https://github.com/huggingface/datasets/pull/3627 changed the Eleuther AI Pile dataset URL from https://the-eye.eu/ to https://mystic.the-eye.eu/ but the latter is now broken and the former works again.
Note that when I git clone the repo and use `pip install -e .` and then edit the URL back the codebase doesn't se... | 62 | the_pile datasets URL broken.
https://github.com/huggingface/datasets/pull/3627 changed the Eleuther AI Pile dataset URL from https://the-eye.eu/ to https://mystic.the-eye.eu/ but the latter is now broken and the former works again.
Note that when I git clone the repo and use `pip install -e .` and then edit the U... |
https://github.com/huggingface/datasets/issues/4755 | Datasets.map causes incorrect overflow_to_sample_mapping when used with tokenizers and small batch size | I've built a minimal example that shows this bug without `n_proc`. It seems like it's a problem any way of using **tokenizers, `overflow_to_sample_mapping`, and Dataset.map, with a small batch size**:
```
import datasets
import transformers
pretrained = 'deepset/tinyroberta-squad2'
tokenizer = transformers.AutoT... | ## Describe the bug
When using `tokenizer`, we can retrieve the field `overflow_to_sample_mapping`, since long samples will be overflown into multiple token sequences.
However, when tokenizing is done via `Dataset.map`, with `n_proc > 1`, the `overflow_to_sample_mapping` field is wrong. This seems to be because ea... | 170 | Datasets.map causes incorrect overflow_to_sample_mapping when used with tokenizers and small batch size
## Describe the bug
When using `tokenizer`, we can retrieve the field `overflow_to_sample_mapping`, since long samples will be overflown into multiple token sequences.
However, when tokenizing is done via `Datase... |
https://github.com/huggingface/datasets/issues/4755 | Datasets.map causes incorrect overflow_to_sample_mapping when used with tokenizers and small batch size | A larger batch size does _not_ have this behavior:
```
def tok2(d):
return tok(d['question'], d['context'])
ds = datasets.Dataset.from_dict({'question': questions, 'context': contexts})
tokens = ds.map(tok2, batched=True, batch_size=2)
print(tokens['overflow_to_sample_mapping'])
assert tokens['overflow_t... | ## Describe the bug
When using `tokenizer`, we can retrieve the field `overflow_to_sample_mapping`, since long samples will be overflown into multiple token sequences.
However, when tokenizing is done via `Dataset.map`, with `n_proc > 1`, the `overflow_to_sample_mapping` field is wrong. This seems to be because ea... | 35 | Datasets.map causes incorrect overflow_to_sample_mapping when used with tokenizers and small batch size
## Describe the bug
When using `tokenizer`, we can retrieve the field `overflow_to_sample_mapping`, since long samples will be overflown into multiple token sequences.
However, when tokenizing is done via `Datase... |
https://github.com/huggingface/datasets/issues/4755 | Datasets.map causes incorrect overflow_to_sample_mapping when used with tokenizers and small batch size | I was trying the [Question answering](https://huggingface.co/learn/nlp-course/chapter7/7#question-answering) tutorial on Hugging face when i faced the same problem. The preprocessing step is [here](https://huggingface.co/learn/nlp-course/chapter7/7#processing-the-validation-data). i have changed ```max_length=200, str... | ## Describe the bug
When using `tokenizer`, we can retrieve the field `overflow_to_sample_mapping`, since long samples will be overflown into multiple token sequences.
However, when tokenizing is done via `Dataset.map`, with `n_proc > 1`, the `overflow_to_sample_mapping` field is wrong. This seems to be because ea... | 139 | Datasets.map causes incorrect overflow_to_sample_mapping when used with tokenizers and small batch size
## Describe the bug
When using `tokenizer`, we can retrieve the field `overflow_to_sample_mapping`, since long samples will be overflown into multiple token sequences.
However, when tokenizing is done via `Datase... |
https://github.com/huggingface/datasets/issues/4230 | Why the `conll2003` dataset on huggingface only contains the `en` subset? Where is the German data? | Thanks for reporting @beyondguo.
Indeed, we generate this dataset from this raw data file URL: https://data.deepai.org/conll2003.zip
And that URL only contains the English version. | 
But on huggingface datasets:
Where is the German data? | 24 | Why the `conll2003` dataset on huggingface only contains the `en` subset? Where is the German data?
But on huggingface datasets:
 states "The German data is a collection of articles from the Frankfurter Rundschau. The named entities have been annotated by people of the University of Antwerp. Only the annotations are available here. In orde... | 
But on huggingface datasets:
Where is the German data? | 149 | Why the `conll2003` dataset on huggingface only contains the `en` subset? Where is the German data?
But on huggingface datasets:
 is down and has been down for a good amount of time ([potentially months](https://www.reddit.com/r/Roms/comments/q82s15/theeye_downdied/))
Finding this dataset is a little esoteric, as the original authors took down the official BookCorpus dataset some time a... | ## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://the-eye.eu/public/AI/pile_pre... | 109 | Cannot load βbookcorpusopenβ
## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://... |
https://github.com/huggingface/datasets/issues/3561 | Cannot load βbookcorpusopenβ | Hi! The `bookcorpusopen` dataset is not working for the same reason as explained in this comment: https://github.com/huggingface/datasets/issues/3504#issuecomment-1004564980 | ## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://the-eye.eu/public/AI/pile_pre... | 17 | Cannot load βbookcorpusopenβ
## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://... |
https://github.com/huggingface/datasets/issues/3561 | Cannot load βbookcorpusopenβ | Hi @HUIYINXUE, it should work now that the data owners created a mirror server with all data, and we updated the URL in our library. | ## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://the-eye.eu/public/AI/pile_pre... | 25 | Cannot load βbookcorpusopenβ
## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://... |
https://github.com/huggingface/datasets/issues/3381 | Unable to load audio_features from common_voice dataset | Hi ! Feel free to access `batch["audio"]["array"]` and `batch["audio"]["sampling_rate"]` instead
`datasets` 1.16 introduced some changes in `common_voice` and now the `path` field is no longer a path to a local file (but rather the path to the file in the archive it's extracted from) | ## Describe the bug
I am not able to load audio features from common_voice dataset
## Steps to reproduce the bug
```
from datasets import load_dataset
import torchaudio
test_dataset = load_dataset("common_voice", "hi", split="test[:2%]")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
def spe... | 44 | Unable to load audio_features from common_voice dataset
## Describe the bug
I am not able to load audio features from common_voice dataset
## Steps to reproduce the bug
```
from datasets import load_dataset
import torchaudio
test_dataset = load_dataset("common_voice", "hi", split="test[:2%]")
resampler = t... |
https://github.com/huggingface/datasets/issues/3807 | NonMatchingChecksumError in xcopa dataset | Hi @afcruzs-ms, thanks for opening this separate issue for your problem.
The root problem in the other issue (#3792) was a change in the service of Google Drive.
But in your case, the `xcopa` dataset is not hosted on Google Drive. Therefore, the root cause should be a different one.
Let me look at it... | ## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be loaded correctly.
## Actual results
Fails ... | 55 | NonMatchingChecksumError in xcopa dataset
## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be load... |
https://github.com/huggingface/datasets/issues/3807 | NonMatchingChecksumError in xcopa dataset | @afcruzs-ms, I'm not able to reproduce the issue you reported:
```python
In [1]: from datasets import load_dataset
...: dataset = load_dataset("xcopa", "it")
Downloading builder script: 5.21kB [00:00, 2.75MB/s] ... | ## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be loaded correctly.
## Actual results
Fails ... | 134 | NonMatchingChecksumError in xcopa dataset
## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be load... |
https://github.com/huggingface/datasets/issues/3807 | NonMatchingChecksumError in xcopa dataset | unfortunately, i am having a similar problem with the irc_disentaglement dataset :/
my code:
```
from datasets import load_dataset
dataset = load_dataset("irc_disentangle", download_mode="force_redownload")
```
however, it produces the same error as @afcruzs-ms
```
[38](file:///Library/Frameworks/Python.fr... | ## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be loaded correctly.
## Actual results
Fails ... | 205 | NonMatchingChecksumError in xcopa dataset
## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be load... |
https://github.com/huggingface/datasets/issues/3807 | NonMatchingChecksumError in xcopa dataset | Thanks @labouz for reporting: yes, better opening a new GitHub issue as you did. I'm addressing it:
- #4376 | ## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be loaded correctly.
## Actual results
Fails ... | 19 | NonMatchingChecksumError in xcopa dataset
## Describe the bug
Loading the xcopa dataset doesn't work, it fails due to a mismatch in the checksum.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("xcopa", "it")
```
## Expected results
The dataset should be load... |
https://github.com/huggingface/datasets/issues/5292 | Missing documentation build for versions 2.7.1 and 2.6.2 | - Build docs for 2.6.2:
- Commit: a6a5a1cf4cdf1e0be65168aed5a327f543001fe8
- Build docs GH Action: https://github.com/huggingface/datasets/actions/runs/3539470622/jobs/5941404044
- Build docs for 2.7.1:
- Commit: 5ef1ab1cc06c2b7a574bf2df454cd9fcb071ccb2
- Build docs GH Action: https://github.com/huggingfac... | After the patch releases [2.7.1](https://github.com/huggingface/datasets/releases/tag/2.7.1) and [2.6.2](https://github.com/huggingface/datasets/releases/tag/2.6.2), the online docs were not properly built (the build_documentation workflow was not triggered).
There was a fix by:
- #5291
However, both documentati... | 28 | Missing documentation build for versions 2.7.1 and 2.6.2
After the patch releases [2.7.1](https://github.com/huggingface/datasets/releases/tag/2.7.1) and [2.6.2](https://github.com/huggingface/datasets/releases/tag/2.6.2), the online docs were not properly built (the build_documentation workflow was not triggered).
... |
https://github.com/huggingface/datasets/issues/5858 | Throw an error when dataset improperly indexed | Thanks for reporting, @sarahwie.
Please note that in `datasets` we do not have vectorized operation like `pandas`. Therefore, your equality comparisons above are `False`:
- For example: `squad['question']` returns a `list`, and this list is not equal to `"Who was the Norse leader?"`
The `False` value is equivale... | ### Describe the bug
Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = datasets.load_dataset("squad_v2", split="validati... | 99 | Throw an error when dataset improperly indexed
### Describe the bug
Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = da... |
https://github.com/huggingface/datasets/issues/5450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | A possible hint: The function it seems to be spending a lot of time in (when iterating over the original dataset) is `_get_mp` in the PIL JPEG decoder:
| ### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | 29 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown
### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that... |
https://github.com/huggingface/datasets/issues/5450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | If "mp" is multiprocessing, this might suggest some kind of negative interaction between the JPEG decoder and TF's handling of processes/threads. Note that we haven't merged the parallel `to_tf_dataset` PR yet, so it's not caused by that PR! | ### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | 38 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown
### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that... |
https://github.com/huggingface/datasets/issues/5450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | Update: MP isn't multiprocessing at all, it's an internal PIL method for loading metadata from JPEG files. No idea why that would be a bottleneck, but I'll see if a Python profiler can't figure out where the time is actually being spent. | ### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | 42 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown
### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that... |
https://github.com/huggingface/datasets/issues/5450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | After further profiling, the slowdown is in the C methods for JPEG decoding that are included as part of PIL. Because Python profilers can't inspect inside that, I don't have any further information on which lines exactly are responsible for the slowdown or why.
In the meantime, I'm going to suggest switching from `... | ### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | 76 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown
### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that... |
https://github.com/huggingface/datasets/issues/6320 | Dataset slice splits can't load training and validation at the same time | The expression "train+test" concatenates the splits.
The individual splits as separate datasets can be obtained as follows:
```python
train_ds, test_ds = load_dataset("<dataset_name>", split=["train", "test"])
train_10pct_ds, test_10pct_ds = load_dataset("<dataset_name>", split=["train[:10%]", "test[:%10]"])
``` | ### Describe the bug
According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+test")`
to load the train and test sets from the dataset.
However ex... | 31 | Dataset slice splits can't load training and validation at the same time
### Describe the bug
According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+te... |
https://github.com/huggingface/datasets/issues/7567 | interleave_datasets seed with multiple workers | Hi ! It's already the case IIRC: the effective seed looks like `seed + worker_id`. Do you have a reproducible example ? | ### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | 22 | interleave_datasets seed with multiple workers
### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
S... |
https://github.com/huggingface/datasets/issues/7567 | interleave_datasets seed with multiple workers | here is an example with shuffle
```
import itertools
import datasets
import multiprocessing
import torch.utils.data
def gen(shard):
worker_info = torch.utils.data.get_worker_info()
for i in range(10):
yield {'value': i, 'worker_id': worker_info.id}
def main():
ds = datasets.IterableDataset.from_generator... | ### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | 164 | interleave_datasets seed with multiple workers
### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
S... |
https://github.com/huggingface/datasets/issues/7567 | interleave_datasets seed with multiple workers | With `interleave_datasets`
```
import itertools
import datasets
import multiprocessing
import torch.utils.data
def gen(shard, value):
while True:
yield {'value': value}
def main():
ds = [
datasets.IterableDataset.from_generator(gen, gen_kwargs={'shard': list(range(8)), 'value': i})
for i in range(1... | ### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | 139 | interleave_datasets seed with multiple workers
### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
S... |
https://github.com/huggingface/datasets/issues/7567 | interleave_datasets seed with multiple workers | Ah my bad, `shuffle()` uses a global effective seed which is something like `seed + epoch`, which is used to do the same shards shuffle in each worker so that each worker have a non-overlapping set of shards:
https://github.com/huggingface/datasets/blob/b9efdc64c3bfb8f21f8a4a22b21bddd31ecd5a31/src/datasets/iterable_da... | ### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | 96 | interleave_datasets seed with multiple workers
### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
S... |
https://github.com/huggingface/datasets/issues/7567 | interleave_datasets seed with multiple workers | Potentially, but busy. If anyone wants to take this up please feel free to, otherwise I may or may not revisit when I have free time.
For what it's worth I got around this with
```
class SeedGeneratorWithWorkerIterable(iterable_dataset._BaseExamplesIterable):
"""ExamplesIterable that seeds the rng with worker id."... | ### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | 173 | interleave_datasets seed with multiple workers
### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
S... |
https://github.com/huggingface/datasets/issues/7567 | interleave_datasets seed with multiple workers | Thanks for the detailed insights!
After reviewing the issue and the current implementation in `iterable_dataset.py`, I can confirm the cause:
When using `interleave_datasets(..., seed=...)` with `num_workers > 1` (e.g. via `DataLoader`), the same RNG state is shared across workers β which leads to each worker produci... | ### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | 112 | interleave_datasets seed with multiple workers
### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
S... |
https://github.com/huggingface/datasets/issues/6790 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug | Thanks for a very clean explanation. This happened to me too, and I don't have sudo access to update the value. I wonder if there might be another workaround. | ### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://github.com/huggingface/datasets/issues/5710, https://github.com/huggi... | 29 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug
### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://gith... |
https://github.com/huggingface/datasets/issues/6790 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug | One option is to just have more data in each file - /proc/sys/vm/max_map_count limits the maximum number of concurrently open files, but I don't know if the size of a single file is restricted in any way. E.g. 5000 files with 1GB each is 5TB of data. https://huggingface.co/docs/datasets/v2.18.0/en/package_reference/mai... | ### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://github.com/huggingface/datasets/issues/5710, https://github.com/huggi... | 52 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug
### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://gith... |
https://github.com/huggingface/datasets/issues/6790 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug | > One option is to just have more data in each file - /proc/sys/vm/max_map_count limits the maximum number of concurrently open files, but I don't know if the size of a single file is restricted in any way. E.g. 5000 files with 1GB each is 5TB of data. https://huggingface.co/docs/datasets/v2.18.0/en/package_reference/m... | ### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://github.com/huggingface/datasets/issues/5710, https://github.com/huggi... | 85 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug
### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://gith... |
https://github.com/huggingface/datasets/issues/6790 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug | Another option is to use `load_from_disk` for a certain limit (let's say, 50,000 for safety), and the other calls for the function could include the argument `keep_in_memory=True` (e.g. disable mmap).
Example:
```python
import os
from datasets import load_from_disk
path = "datasets_dir"
files = os.listdir(path)
mmap_... | ### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://github.com/huggingface/datasets/issues/5710, https://github.com/huggi... | 74 | PyArrow 'Memory mapping file failed: Cannot allocate memory' bug
### Describe the bug
Hello,
I've been struggling with a problem using Huggingface datasets caused by PyArrow memory allocation. I finally managed to solve it, and thought to document it since similar issues have been raised here before (https://gith... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | Hi @peregilk this bug is directly related to https://github.com/huggingface/datasets/issues/3888, and still not fixed... But I'll try to have a look! | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 20 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, spl... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | Thanks @alvarobartt. It is great if you are able to fix it, but when reading the explanation it seems like it is possible to work around it.
We also tried keeping the 'info.features' and then adding a modified version back after the remove/rename. Unforutunately that leads to a dataset that is not possible to iterat... | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 56 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, spl... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | So if you iterate over the `IterableDataset` as `next(iter(ds))` and then run `rename_columns` when checking that data it will work, but in the end, it's just renaming the column one example/batch at a time, not renaming the column name for all the entries in the dataset, which is the ideal. | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 50 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, spl... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | @alvarobartt Thanks. My use case was that I wanted to do multiple things, ie removing all unnecessary columns, renaming some valid columns, and then using cast (in my case checking if the audio is not 16K and casting it). It is just convenient to look into the info.features between each of these operations. Alternative... | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 77 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, spl... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | If we know the features before renaming, then we know the features after renaming, so we can pass the new features to the returned dataset in `rename_column` indeed ! If anyone is interested in contributing, feel free to open a PR and I'd be happy to help / give some pointers :) | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 52 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, spl... |
https://github.com/huggingface/datasets/issues/6287 | map() not recognizing "text" | There is no "text" column in the `amazon_reviews_multi`, hence the `KeyError`. You can get the column names by running `dataset.column_names`. | ### Describe the bug
The [map() documentation](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/main_classes#datasets.Dataset.map) reads:
`
ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)`
I have been trying to reproduce it in my code as:
`tokenizedData... | 20 | map() not recognizing "text"
### Describe the bug
The [map() documentation](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/main_classes#datasets.Dataset.map) reads:
`
ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)`
I have been trying to reproduce it in ... |
https://github.com/huggingface/datasets/issues/5817 | Setting `num_proc` errors when `.map` returns additional items. | Hi ! Unfortunately I couldn't reproduce on my side locally and with datasets 2.11 and python 3.10.11 on colab.
What version of `multiprocess` are you using ? | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | 27 | Setting `num_proc` errors when `.map` returns additional items.
### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
... |
https://github.com/huggingface/datasets/issues/5817 | Setting `num_proc` errors when `.map` returns additional items. | I've got `multiprocess` version `0.70.14`.
I've done some more testing and the error only occurs in PyCharm's Python Console. It seems to be [this PyCharm bug](https://youtrack.jetbrains.com/issue/PY-51922/Multiprocessing-bug.-Can-only-run-in-debugger.), I'll close this. | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | 29 | Setting `num_proc` errors when `.map` returns additional items.
### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
... |
https://github.com/huggingface/datasets/issues/5817 | Setting `num_proc` errors when `.map` returns additional items. | For other users facing this, my workaround is to conditionally set `num_proc` so I can work interactively in the PyCharm Python Console while developing, then when I'm ready to run on the whole dataset, run it as a script and use multiprocessing.
```py
mapped_ds = ds.map(
my_map_function,
batched=True,
... | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | 58 | Setting `num_proc` errors when `.map` returns additional items.
### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
... |
https://github.com/huggingface/datasets/issues/7534 | TensorFlow RaggedTensor Support (batch-level) | Keras doesn't support other inputs other than tf.data.Dataset objects ? it's a bit painful to have to support and maintain this kind of integration
Is there a way to use a `datasets.Dataset` with outputs formatted as tensors / ragged tensors instead ? like in https://huggingface.co/docs/datasets/use_with_tensorflow#da... | ### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there's a error thrown saying that "Nested Data is ... | 45 | TensorFlow RaggedTensor Support (batch-level)
### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there... |
https://github.com/huggingface/datasets/issues/7534 | TensorFlow RaggedTensor Support (batch-level) | I'll give it a try when I get the time. But quite sure I already tested the `with_format` approach.
Keras when using TF as backend converts the datasets into `tf.data.Dataset`, much like you do. | ### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there's a error thrown saying that "Nested Data is ... | 34 | TensorFlow RaggedTensor Support (batch-level)
### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there... |
https://github.com/huggingface/datasets/issues/7534 | TensorFlow RaggedTensor Support (batch-level) | Hi @Lundez! Thanks for raising this β very valid point, especially for Object Detection use-cases.
You're right that np_get_batch currently enforces numpy batching, which breaks RaggedTensor support due to its inability to handle nested structures. This likely needs a redesign to allow TensorFlow-native batching in sp... | ### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there's a error thrown saying that "Nested Data is ... | 143 | TensorFlow RaggedTensor Support (batch-level)
### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there... |
https://github.com/huggingface/datasets/issues/7534 | TensorFlow RaggedTensor Support (batch-level) | Hi, we've had to move on for now.
We have actually also moved to dense tensors to make it possible to xla complie the training.
But I'll check when I'm back from vacation which is far into the future.
Thanks | ### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there's a error thrown saying that "Nested Data is ... | 40 | TensorFlow RaggedTensor Support (batch-level)
### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there... |
https://github.com/huggingface/datasets/issues/7115 | module 'pyarrow.lib' has no attribute 'ListViewType' | https://github.com/neurafusionai/Hugging_Face/blob/main/meta_opt_350m_customer_support_lora_v1.ipynb
couldnt train because of GPU
I didnt pip install datasets -U
but looks like restarting worked | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | 17 | module 'pyarrow.lib' has no attribute 'ListViewType'
### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-... |
https://github.com/huggingface/datasets/issues/3928 | Frugal score deprecations | Hi @Ierezell, thanks for reporting.
I'm making a PR to suppress those logs from the terminal. | ## Describe the bug
The frugal score returns a really verbose output with warnings that can be easily changed.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets.load import load_metric
frugal = load_metric("frugalscore")
frugal.compute(predictions=["Do you like spinach... | 16 | Frugal score deprecations
## Describe the bug
The frugal score returns a really verbose output with warnings that can be easily changed.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets.load import load_metric
frugal = load_metric("frugalscore")
frugal.compute(predict... |
https://github.com/huggingface/datasets/issues/7917 | IterableDataset supports automatic sharding | You can already use `.shard()` instead like this:
```python
dataset = dataset.shard(index=rank, num_shards=world_size)
```
note that it requires that `dataset.num_shards >= world_size`, and that it may result in nodes having the same number of shards +- 1 | ### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, num_samples=num_samples) #We may need to know... | 37 | IterableDataset supports automatic sharding
### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, n... |
https://github.com/huggingface/datasets/issues/7917 | IterableDataset supports automatic sharding | > You can already use `.shard()` instead like this:
>
> dataset = dataset.shard(index=rank, num_shards=world_size)
> note that it requires that `dataset.num_shards >= world_size`, and that it may result in nodes having the same number of shards +- 1
This means I have to ensure that the initial num_shards is greater t... | ### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, num_samples=num_samples) #We may need to know... | 112 | IterableDataset supports automatic sharding
### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, n... |
https://github.com/huggingface/datasets/issues/7917 | IterableDataset supports automatic sharding | > Is there a way to dynamically divide the data into multiple shards based on the number of GPUs used each time?
No it's not possible without either
1. doing data skipping, which degrades the data loading performance significantly (every node has to download the same data and skip most samples)
2. or divide the origi... | ### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, num_samples=num_samples) #We may need to know... | 121 | IterableDataset supports automatic sharding
### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, n... |
https://github.com/huggingface/datasets/issues/7917 | IterableDataset supports automatic sharding | > ReshardableArrowExamplesIterable
Okay, my datasets are all on my local disk, so I haven't considered the overhead of data download. Are there any tutorials on creating custom iterable datasets? For example, a custom `iterabledataset.__iter__` function can be used to skip data, and it can inherit operations like `ite... | ### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, num_samples=num_samples) #We may need to know... | 48 | IterableDataset supports automatic sharding
### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, n... |
https://github.com/huggingface/datasets/issues/3808 | Pre-Processing Cache Fails when using a Factory pattern | Ok - this is still an issue but I believe the root cause is different than I originally thought. I'm now able to get caching to work consistently with the above example as long as I fix the python hash seed `export PYTHONHASHSEED=1234` | ## Describe the bug
If you utilize a pre-processing function which is created using a factory pattern, the function hash changes on each run (even if the function is identical) and therefore the data will be reproduced each time.
## Steps to reproduce the bug
```python
def preprocess_function_factory(augmenta... | 43 | Pre-Processing Cache Fails when using a Factory pattern
## Describe the bug
If you utilize a pre-processing function which is created using a factory pattern, the function hash changes on each run (even if the function is identical) and therefore the data will be reproduced each time.
## Steps to reproduce the bug
... |
https://github.com/huggingface/datasets/issues/3808 | Pre-Processing Cache Fails when using a Factory pattern | Hi!
Yes, our hasher should work with decorators. For instance, this dummy example:
```python
def f(arg):
def f1(ex):
return {"a": ex["col1"] + arg}
return f1
```
gives the same hash across different Python sessions (`datasets.fingerprint.Hasher.hash(f("string1")` returns `"408c9059f89dbd6c"` ... | ## Describe the bug
If you utilize a pre-processing function which is created using a factory pattern, the function hash changes on each run (even if the function is identical) and therefore the data will be reproduced each time.
## Steps to reproduce the bug
```python
def preprocess_function_factory(augmenta... | 76 | Pre-Processing Cache Fails when using a Factory pattern
## Describe the bug
If you utilize a pre-processing function which is created using a factory pattern, the function hash changes on each run (even if the function is identical) and therefore the data will be reproduced each time.
## Steps to reproduce the bug
... |
https://github.com/huggingface/datasets/issues/5259 | datasets 2.7 introduces sharding error | I notice a comment in the code says:
`Having lists of different sizes makes sharding ambigious, raise an error in this case until we decide how to define sharding without ambiguity for users`
... which suggests this update was pushed knowing that it might break some things. But, it didn't seem to have a usefu... | ### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | 68 | datasets 2.7 introduces sharding error
### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key dat... |
https://github.com/huggingface/datasets/issues/5259 | datasets 2.7 introduces sharding error | Sorry for the inconvenience, I opened a PR in your repo to fix this: https://huggingface.co/datasets/sil-ai/bloom-speech/discussions/2
Basically we've always considered lists in `gen_kwargs` to be a shard list that we can split and pass into different workers to generate the dataset (e.g. if you pass `num_proc=` in ... | ### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | 59 | datasets 2.7 introduces sharding error
### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key dat... |
https://github.com/huggingface/datasets/issues/3558 | Integrate Milvus (pymilvus) library | Hi @mariosaskoοΌJust search randomly and I found this issue~ I'm the tech lead of Milvus and we are looking forward to integrate milvus together with huggingface datasets.
Any suggestion on how we could start?
| Milvus is a popular open-source vector database. We should add a new vector index to support this project. | 34 | Integrate Milvus (pymilvus) library
Milvus is a popular open-source vector database. We should add a new vector index to support this project.
Hi @mariosaskoοΌJust search randomly and I found this issue~ I'm the tech lead of Milvus and we are looking forward to integrate milvus together with huggingface datasets.
Any... |
https://github.com/huggingface/datasets/issues/3558 | Integrate Milvus (pymilvus) library | Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss/ElasticSearch support. We could set up a Slack channel for additional guidance. Let me know what you prefer. | Milvus is a popular open-source vector database. We should add a new vector index to support this project. | 37 | Integrate Milvus (pymilvus) library
Milvus is a popular open-source vector database. We should add a new vector index to support this project.
Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss/Elast... |
https://github.com/huggingface/datasets/issues/3558 | Integrate Milvus (pymilvus) library | > Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss/ElasticSearch support. We could set up a Slack channel for additional guidance. Let me know what you prefer.
Sure, we take a look and do some r... | Milvus is a popular open-source vector database. We should add a new vector index to support this project. | 47 | Integrate Milvus (pymilvus) library
Milvus is a popular open-source vector database. We should add a new vector index to support this project.
> Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss/Ela... |
https://github.com/huggingface/datasets/issues/5694 | Dataset configuration | Originally we also though about adding it to the YAML part of the README.md:
```yaml
builder_config:
data_dir: data
data_files:
- split: train
pattern: "train-[0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*"
```
Having it in the README.md could make it easier to modify it in the UI on HF, and... | Following discussions from https://github.com/huggingface/datasets/pull/5331
We could have something like `config.json` to define the configuration of a dataset.
```json
{
"data_dir": "data"
"data_files": {
"train": "train-[0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*"
}
}
```
... | 47 | Dataset configuration
Following discussions from https://github.com/huggingface/datasets/pull/5331
We could have something like `config.json` to define the configuration of a dataset.
```json
{
"data_dir": "data"
"data_files": {
"train": "train-[0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9... |
https://github.com/huggingface/datasets/issues/5694 | Dataset configuration | From internal discussions we agreed to go with the YAML approach, since it's the one that seems more appropriate to be modified by a human on the Hub or locally (while JSON e.g. for models are usually created programmatically). | Following discussions from https://github.com/huggingface/datasets/pull/5331
We could have something like `config.json` to define the configuration of a dataset.
```json
{
"data_dir": "data"
"data_files": {
"train": "train-[0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*"
}
}
```
... | 39 | Dataset configuration
Following discussions from https://github.com/huggingface/datasets/pull/5331
We could have something like `config.json` to define the configuration of a dataset.
```json
{
"data_dir": "data"
"data_files": {
"train": "train-[0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9... |
https://github.com/huggingface/datasets/issues/5278 | load_dataset does not read jsonl metadata file properly | Can you try to remove "drop_labels=false" ? It may force the loader to infer the labels instead of reading the metadata | ### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. It just spits out "image" and "label" as features.
B... | 21 | load_dataset does not read jsonl metadata file properly
### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. ... |
https://github.com/huggingface/datasets/issues/5278 | load_dataset does not read jsonl metadata file properly | Okay, now it seems to actually load the metadata and create the train_split, but it still says only returns "image" and "label", which is always 0 since all images are from same folder | ### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. It just spits out "image" and "label" as features.
B... | 33 | load_dataset does not read jsonl metadata file properly
### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. ... |
https://github.com/huggingface/datasets/issues/5278 | load_dataset does not read jsonl metadata file properly | > Can you try updating `datasets` ? Metadata support was added in `datasets` 2.4
Update: This was the issue. | ### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. It just spits out "image" and "label" as features.
B... | 19 | load_dataset does not read jsonl metadata file properly
### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. ... |
https://github.com/huggingface/datasets/issues/5405 | size_in_bytes the same for all splits | Hi @Breakend,
Indeed, the attribute `size_in_bytes` refers to the size of the entire dataset configuration, for all splits (size of downloaded files + Arrow files), not the specific split.
This is also the case for `download_size` (downloaded files) and `dataset_size` (Arrow files).
The size of the Arrow files f... | ### Describe the bug
Hi, it looks like whenever you pull a dataset and get size_in_bytes, it returns the same size for all splits (and that size is the combined size of all splits). It seems like this shouldn't be the intended behavior since it is misleading. Here's an example:
```
>>> from datasets import load_da... | 76 | size_in_bytes the same for all splits
### Describe the bug
Hi, it looks like whenever you pull a dataset and get size_in_bytes, it returns the same size for all splits (and that size is the combined size of all splits). It seems like this shouldn't be the intended behavior since it is misleading. Here's an example:
... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | No, it does not save the metadata json.
We have to recode all meta json load/save
with another custome functions.
save_to_disk
and load should have option with
βParquetβ instead of βarrowβ
since βarrowβ is never user for production
(only parquet).
Thanks !
> On May 17, 2024, at 5:38, FrΓ©dΓ©ric Branch... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 98 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | Ok,
What about loading ?
Should we do in 2 steps ?
> On Jun 14, 2024, at 1:09, Quentin Lhoest ***@***.***> wrote:
>
> ο»Ώ
> You can use to_parquet and ds.info.write_to_directory() to save the dataset info
>
> β
> Reply to this email directly, view it on GitHub, or unsubscribe.
> You are receiving th... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 63 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | Isnβt easier to combine both
into load_dataset and save_dataset
with parquet options.
2) another question,
How can we download large dataset into disk directly without loading all in memory (!)
> On Jun 14, 2024, at 19:54, Quentin Lhoest ***@***.***> wrote:
>
> ο»Ώ
> Yes, and there is DatasetInfo.from_... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 79 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | `load_dataset` doesn't load the dataset in memory, it progressively writes to disk in Arrow format and then memory maps the Arrow files. This allows to load datasets bigger than memory and without filling your RAM | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 35 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | Sure.
How memory map is managed ?
Managed by the OS ?
Why the need of save_dataset() ?
> On Jun 15, 2024, at 0:06, Quentin Lhoest ***@***.***> wrote:
>
> ο»Ώ
> load_dataset doesn't load the dataset in memory, it progressively writes to disk in Arrow format and then memory maps the Arrow files. This allows... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 93 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | Not at the moment, but you can shard yourself using
```python
num_shards = 32
for index in range(num_shards):
shard = ds.shard(index=index, num_shards=num_shards)
shard.to_parquet("data-{index:05d}.parquet")
``` | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 24 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | @lhoestq
Related to this, I'm doing processing on a very large dataset and I save it in shards, when I load the parquet shards it takes time but doesn't load it all in memory and reindexes it as one dataset which is what I want, so I can store in the cloud and its ready for lazy loading in inference.
dataset = datas... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 129 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | `save_to_disk` iterates on chunks from the data to write them to disk shard by shard, it doesn't load the dataset in memory.
Maybe try to lower the `max_shard_size` ? | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 29 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | Ok, is it a bug with my particular dataset.
I do max_shard_size="500Mb" but still the RAM usage starts increasing to the full dataset even though the .arrow chunks are 500mb.
This also happens at the end of my map function (which maps to a much larger number of rows), during tqdm the % until 100 the RAM is constant th... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 109 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | For `map()` it works a similar way: it writes batch by batch. You can lower the `writer_batch_size=` in `map()` (default is 1000)
Feel free to open a new issue to discuss RAM usage in `save_to_disk()` and `map()`, ideally if you can provide a minimal code that reproduces your issue | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 49 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | OK, could it be because I'm loading the initial dataset from GCS?
I understand how it should work i.e. not balloon from 800mb to 15gb when call .save_to_disk or at end of map. Its loading the full dataset/rematerializing, and not respecting the shard_size or writer_batch_size. When i use shard_size 100mb, the shards ... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 75 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | I ended up manually sharding chunks to disk and using
```
datasets.load_dataset(
"parquet",
data_files=f"{dataset_path}/*.parquet")
```
This is less than ideal as it means it is very slow loading/indexing the first time. But the RSS remains as expected, only a bit larger than the chunks... | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 106 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/6903 | Add the option of saving in parquet instead of arrow | It's also possible to encounter that issue if you're using a special kind of disk that has a caching mechanism that loads memory mapped files in RAM. | ### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | 27 | Add the option of saving in parquet instead of arrow
### Feature request
In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Mo... |
https://github.com/huggingface/datasets/issues/7168 | sd1.5 diffusers controlnet training script gives new error | @Night1099 could you spiecify what exactly was wrong with your image in the dataset? I think im facing the same issue. | ### Describe the bug
This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1041, in main
... | 21 | sd1.5 diffusers controlnet training script gives new error
### Describe the bug
This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/example... |
https://github.com/huggingface/datasets/issues/7168 | sd1.5 diffusers controlnet training script gives new error |
> [@Night1099](https://github.com/Night1099) could you spiecify what exactly was wrong with your image in the dataset? I think im facing the same issue.
Oh boy I'm trying to remember that was many projects (a year) ago, I'm usually more informational now I apologize. I'm gonna say it was an img format problem but not... | ### Describe the bug
This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1041, in main
... | 75 | sd1.5 diffusers controlnet training script gives new error
### Describe the bug
This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/example... |
https://github.com/huggingface/datasets/issues/3346 | Failed to convert `string` with pyarrow for QED since 1.15.0 | Actually, re-opening this issue cause the error persists
```python
>>> load_dataset("qed")
Downloading and preparing dataset qed/qed (download: 13.43 MiB, generated: 9.70 MiB, post-processed: Unknown size, total: 23.14 MiB) to /home/victor_huggingface_co/.cache/huggingface/datasets/qed/qed/1.0.0/47d8b6f033393aa520... | ## Describe the bug
Loading QED was fine until 1.15.0.
related: bigscience-workshop/promptsource#659, bigscience-workshop/promptsource#670
Not sure where the root cause is, but here are some candidates:
- #3158
- #3120
- #3196
- #2891
## Steps to reproduce the bug
```python
load_dataset("qed")
```
## ... | 222 | Failed to convert `string` with pyarrow for QED since 1.15.0
## Describe the bug
Loading QED was fine until 1.15.0.
related: bigscience-workshop/promptsource#659, bigscience-workshop/promptsource#670
Not sure where the root cause is, but here are some candidates:
- #3158
- #3120
- #3196
- #2891
## Steps to ... |
https://github.com/huggingface/datasets/issues/7675 | common_voice_11_0.py failure in dataset library | Hi ! This dataset is not in a supported format and `datasets` 4 doesn't support datasets that based on python scripts which are often source of errors. Feel free to ask the dataset authors to convert the dataset to a supported format at https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/discussions, e... | ### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
---------------------------------------------------------------------------
RuntimeError Tr... | 58 | common_voice_11_0.py failure in dataset library
### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
------------------------------------------------------------------------... |
https://github.com/huggingface/datasets/issues/7675 | common_voice_11_0.py failure in dataset library | Thanks @lhoestq! I encountered the same issue and switching to an older version of `datasets` worked. | ### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
---------------------------------------------------------------------------
RuntimeError Tr... | 16 | common_voice_11_0.py failure in dataset library
### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
------------------------------------------------------------------------... |
https://github.com/huggingface/datasets/issues/7675 | common_voice_11_0.py failure in dataset library | >which version of datasets worked for you, I tried switching to 4.6.0 and also moved back for fsspec, but still facing issues for this.
| ### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
---------------------------------------------------------------------------
RuntimeError Tr... | 24 | common_voice_11_0.py failure in dataset library
### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
------------------------------------------------------------------------... |
https://github.com/huggingface/datasets/issues/3300 | β Dataset loading script from Hugging Face Hub | Hi ! In the next version of `datasets`, your train and test splits will be correctly separated (changes from #3027) if you create a dataset repository with only your CSV files.
Also it seems that you overwrite the `data_files` and `data_dir` arguments in your code, when you instantiate the AGNewsConfig objects. Thos... | Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to the original dataset. However, in trying to do s... | 133 | β Dataset loading script from Hugging Face Hub
Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to t... |
https://github.com/huggingface/datasets/issues/3300 | β Dataset loading script from Hugging Face Hub | Also I think the viewer will be updated when you fix the dataset script, let me know if it doesn't | Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to the original dataset. However, in trying to do s... | 20 | β Dataset loading script from Hugging Face Hub
Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to t... |
https://github.com/huggingface/datasets/issues/3300 | β Dataset loading script from Hugging Face Hub | Hi @lhoestq,
Thanks a lot for the super quick answer!
Your suggestion solves my issue. I am now able to load the dataset properly π
However, the dataviewer is not working yet.
Really, thanks a lot for your help and consideration!
Best,
Pietro | Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to the original dataset. However, in trying to do s... | 43 | β Dataset loading script from Hugging Face Hub
Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to t... |
https://github.com/huggingface/datasets/issues/3300 | β Dataset loading script from Hugging Face Hub | @lhoestq I think I am having a related problem.
My call to load_dataset() looks like this:
```
datasets = load_dataset(
os.path.abspath(layoutlmft.data.datasets.xfun.__file__),
f"xfun.{data_args.lang}",
additional_langs=data_args.additional_langs,
keep_in_memory=True,
... | Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to the original dataset. However, in trying to do s... | 173 | β Dataset loading script from Hugging Face Hub
Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to t... |
https://github.com/huggingface/datasets/issues/3300 | β Dataset loading script from Hugging Face Hub | Hi ! The `gen_kwargs` dictionary is passed to `_generate_examples`, so in your case it must be defined this way:
```python
def _generate_examples(self, filepath):
...
```
And here is an additional tip: you can use `os.path.join(downloaded_file, "dataset/testing_data")` instead of `f"downloaded_file}/dataset/... | Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to the original dataset. However, in trying to do s... | 64 | β Dataset loading script from Hugging Face Hub
Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to t... |
https://github.com/huggingface/datasets/issues/3300 | β Dataset loading script from Hugging Face Hub | Thanks for you quick reply @lhoestq and so sorry for my very delayed response.
We have gotten around the error another way but I will try to duplicate this when I can. We may have had "filepaths" instead of "filepath" in our def of _generate_examples() and not noticed the difference. If I find a more useful answer f... | Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to the original dataset. However, in trying to do s... | 93 | β Dataset loading script from Hugging Face Hub
Hi there,
I am trying to add my custom `ag_news` with its own loading script on the Hugging Face datasets hub. In particular, I would like to test the addition of a second configuration to the existing `ag_news` dataset. Once it works in my hub, I plan to make a PR to t... |
https://github.com/huggingface/datasets/issues/4795 | Missing MBPP splits | Thanks for reporting this as well, @stadlerb.
I suggest waiting for the answer of the data owners... | (@albertvillanova)
The [MBPP dataset on the Hub](https://huggingface.co/datasets/mbpp) has only a test split for both its "full" and its "sanitized" subset, while the [paper](https://arxiv.org/abs/2108.07732) states in subsection 2.1 regarding the full split:
> In the experiments described later in the paper, we hold... | 17 | Missing MBPP splits
(@albertvillanova)
The [MBPP dataset on the Hub](https://huggingface.co/datasets/mbpp) has only a test split for both its "full" and its "sanitized" subset, while the [paper](https://arxiv.org/abs/2108.07732) states in subsection 2.1 regarding the full split:
> In the experiments described later i... |
https://github.com/huggingface/datasets/issues/4795 | Missing MBPP splits | @albertvillanova The first author of the paper responded to the upstream issue:
> Task IDs 11-510 are the 500 test problems. We use 90 problems (511-600) for validation and then remaining 374 for fine-tuning (601-974). The other problems can be used as desired, either for training or few-shot prompting (although this ... | (@albertvillanova)
The [MBPP dataset on the Hub](https://huggingface.co/datasets/mbpp) has only a test split for both its "full" and its "sanitized" subset, while the [paper](https://arxiv.org/abs/2108.07732) states in subsection 2.1 regarding the full split:
> In the experiments described later in the paper, we hold... | 54 | Missing MBPP splits
(@albertvillanova)
The [MBPP dataset on the Hub](https://huggingface.co/datasets/mbpp) has only a test split for both its "full" and its "sanitized" subset, while the [paper](https://arxiv.org/abs/2108.07732) states in subsection 2.1 regarding the full split:
> In the experiments described later i... |
https://github.com/huggingface/datasets/issues/4795 | Missing MBPP splits | Thanks for the follow-up, @stadlerb.
Would you be willing to open a Pull Request to address this issue? :wink: | (@albertvillanova)
The [MBPP dataset on the Hub](https://huggingface.co/datasets/mbpp) has only a test split for both its "full" and its "sanitized" subset, while the [paper](https://arxiv.org/abs/2108.07732) states in subsection 2.1 regarding the full split:
> In the experiments described later in the paper, we hold... | 19 | Missing MBPP splits
(@albertvillanova)
The [MBPP dataset on the Hub](https://huggingface.co/datasets/mbpp) has only a test split for both its "full" and its "sanitized" subset, while the [paper](https://arxiv.org/abs/2108.07732) states in subsection 2.1 regarding the full split:
> In the experiments described later i... |
https://github.com/huggingface/datasets/issues/5825 | FileNotFound even though exists | Hi!
This would only work if `bigscience/xP3` was a no-code dataset, but it isn't (it has a Python builder script).
But this should work:
```python
load_dataset("json", data_files="https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.... | ### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.82k/2.8... | 28 | FileNotFound even though exists
### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading... |
https://github.com/huggingface/datasets/issues/5825 | FileNotFound even though exists | > I see, it's not compatible w/ regex right? e.g. `load_dataset("json", data_files="https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/*")`
It should work for patterns that "reference" the local filesystem, but to make this work with the Hub, we must implement https://github.com/huggingface/datasets/issu... | ### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.82k/2.8... | 106 | FileNotFound even though exists
### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading... |
https://github.com/huggingface/datasets/issues/7610 | i cant confirm email | 
This is clarify answer. I have not received a letter.
**The graphic at the top shows how I don't get any letter. Can you show in a clear way how you don't get a letter from me?** | ### Describe the bug
This is dificult, I cant confirm email because I'm not get any email!
I cant post forum because I cant confirm email!
I can send help desk because... no exist on web page.
paragraph 44
### Steps to reproduce the bug
rthjrtrt
### Expected behavior
ewtgfwetgf
### Environment info
sdgfswdegfwe | 38 | i cant confirm email
### Describe the bug
This is dificult, I cant confirm email because I'm not get any email!
I cant post forum because I cant confirm email!
I can send help desk because... no exist on web page.
paragraph 44
### Steps to reproduce the bug
rthjrtrt
### Expected behavior
ewtgfwetgf
### Environme... |
https://github.com/huggingface/datasets/issues/5568 | dataset.to_iterable_dataset() loses useful info like dataset features | Hi ! Oh good catch. I think the features should be passed to `IterableDataset.from_generator()` in `to_iterable_dataset()` indeed.
Setting this as a good first issue if someone would like to contribute, otherwise we can take care of it :) | ### Describe the bug
Hello,
I like the new `to_iterable_dataset` feature but I noticed something that seems to be missing.
When using `to_iterable_dataset` to transform your map style dataset into iterable dataset, you lose valuable metadata like the features.
These metadata are useful if you want to interleav... | 38 | dataset.to_iterable_dataset() loses useful info like dataset features
### Describe the bug
Hello,
I like the new `to_iterable_dataset` feature but I noticed something that seems to be missing.
When using `to_iterable_dataset` to transform your map style dataset into iterable dataset, you lose valuable metadata lik... |
https://github.com/huggingface/datasets/issues/5568 | dataset.to_iterable_dataset() loses useful info like dataset features | seems like the feature parameter is missing from `return IterableDataset.from_generator(Dataset._iter_shards, gen_kwargs={"shards": shards})` hence it defaults to None. | ### Describe the bug
Hello,
I like the new `to_iterable_dataset` feature but I noticed something that seems to be missing.
When using `to_iterable_dataset` to transform your map style dataset into iterable dataset, you lose valuable metadata like the features.
These metadata are useful if you want to interleav... | 17 | dataset.to_iterable_dataset() loses useful info like dataset features
### Describe the bug
Hello,
I like the new `to_iterable_dataset` feature but I noticed something that seems to be missing.
When using `to_iterable_dataset` to transform your map style dataset into iterable dataset, you lose valuable metadata lik... |
https://github.com/huggingface/datasets/issues/4591 | Can't push Images to hub with manual Dataset | Hi, thanks for reporting! This issue stems from the changes introduced in https://github.com/huggingface/datasets/pull/4282 (cc @lhoestq), in which list casts are ignored if they don't change the list type (required to preserve `null` values). And `push_to_hub` does a special cast to embed external image files but does... | ## Describe the bug
If I create a dataset including an 'Image' feature manually, when pushing to hub decoded images are not pushed,
instead it looks for image where image local path is/used to be.
This doesn't (at least didn't used to) happen with imagefolder. I want to build dataset manually because it is compli... | 52 | Can't push Images to hub with manual Dataset
## Describe the bug
If I create a dataset including an 'Image' feature manually, when pushing to hub decoded images are not pushed,
instead it looks for image where image local path is/used to be.
This doesn't (at least didn't used to) happen with imagefolder. I want t... |
https://github.com/huggingface/datasets/issues/6077 | Mapping gets stuck at 99% | The `MAX_MAP_BATCH_SIZE = 1_000_000_000` hack is bad as it loads the entire dataset into RAM when performing `.map`. Instead, it's best to use `.iter(batch_size)` to iterate over the data batches and compute `mean` for each column. (`stddev` can be computed in another pass).
Also, these arrays are big, so it makes s... | ### Describe the bug
Hi !
I'm currently working with a large (~150GB) unnormalized dataset at work.
The dataset is available on a read-only filesystem internally, and I use a [loading script](https://huggingface.co/docs/datasets/dataset_script) to retreive it.
I want to normalize the features of the dataset, ... | 62 | Mapping gets stuck at 99%
### Describe the bug
Hi !
I'm currently working with a large (~150GB) unnormalized dataset at work.
The dataset is available on a read-only filesystem internally, and I use a [loading script](https://huggingface.co/docs/datasets/dataset_script) to retreive it.
I want to normalize the... |
https://github.com/huggingface/datasets/issues/6077 | Mapping gets stuck at 99% | Hi @mariosasko !
I agree, it's an ugly hack, but it was convenient since the resulting `mean_std` could be cached by the library. For my large dataset (which doesn't fit in RAM), I'm actually using something similar to what you suggested. I got rid of the first mapping in the above scripts and replaced it with an it... | ### Describe the bug
Hi !
I'm currently working with a large (~150GB) unnormalized dataset at work.
The dataset is available on a read-only filesystem internally, and I use a [loading script](https://huggingface.co/docs/datasets/dataset_script) to retreive it.
I want to normalize the features of the dataset, ... | 67 | Mapping gets stuck at 99%
### Describe the bug
Hi !
I'm currently working with a large (~150GB) unnormalized dataset at work.
The dataset is available on a read-only filesystem internally, and I use a [loading script](https://huggingface.co/docs/datasets/dataset_script) to retreive it.
I want to normalize the... |
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