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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/datasets/issues/5898 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5898/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5898/comments | https://api.github.com/repos/huggingface/datasets/issues/5898/events | https://github.com/huggingface/datasets/issues/5898 | 1,726,190,481 | I_kwDODunzps5m45OR | 5,898 | Loading The flores data set for specific language | {
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} | ### Describe the bug
I am trying to load the Flores data set
the code which is given is
```
from datasets import load_dataset
dataset = load_dataset("facebook/flores")
```
This gives the error of config name
""ValueError: Config name is missing"
Now if I add some config it gives me the some error
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5897 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5897/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5897/comments | https://api.github.com/repos/huggingface/datasets/issues/5897/events | https://github.com/huggingface/datasets/pull/5897 | 1,726,135,494 | PR_kwDODunzps5RXJaY | 5,897 | Fix `FixedSizeListArray` casting | {
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Fix #5866 | {
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https://api.github.com/repos/huggingface/datasets/issues/5896 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5896/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5896/comments | https://api.github.com/repos/huggingface/datasets/issues/5896/events | https://github.com/huggingface/datasets/issues/5896 | 1,726,022,500 | I_kwDODunzps5m4QNk | 5,896 | HuggingFace does not cache downloaded files aggressively/early enough | {
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} | ### Describe the bug
I wrote the following script:
```
import datasets
dataset = datasets.load.load_dataset("wikipedia", "20220301.en", split="train[:10000]")
```
I ran it and spent 90 minutes downloading a 20GB file. Then I saw:
```
Downloading: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5895 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5895/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5895/comments | https://api.github.com/repos/huggingface/datasets/issues/5895/events | https://github.com/huggingface/datasets/issues/5895 | 1,725,467,252 | I_kwDODunzps5m2Ip0 | 5,895 | The dir name and split strings are confused when loading ArmelR/stack-exchange-instruction dataset | {
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} | ### Describe the bug
When I load the ArmelR/stack-exchange-instruction dataset, I encounter a bug that may be raised by confusing the dir name string and the split string about the dataset.
When I use the script "datasets.load_dataset('ArmelR/stack-exchange-instruction', data_dir="data/finetune", split="train", ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5894 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5894/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5894/comments | https://api.github.com/repos/huggingface/datasets/issues/5894/events | https://github.com/huggingface/datasets/pull/5894 | 1,724,774,910 | PR_kwDODunzps5RSjot | 5,894 | Force overwrite existing filesystem protocol | {
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https://api.github.com/repos/huggingface/datasets/issues/5893 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5893/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5893/comments | https://api.github.com/repos/huggingface/datasets/issues/5893/events | https://github.com/huggingface/datasets/pull/5893 | 1,722,519,056 | PR_kwDODunzps5RK40K | 5,893 | Load cached dataset as iterable | {
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See https://github.com/huggingface/datasets/issues/5481 | {
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https://api.github.com/repos/huggingface/datasets/issues/5892 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5892/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5892/comments | https://api.github.com/repos/huggingface/datasets/issues/5892/events | https://github.com/huggingface/datasets/issues/5892 | 1,722,503,824 | I_kwDODunzps5mq1KQ | 5,892 | User access requests with manual review do not notify the dataset owner | {
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} | ### Describe the bug
When a user access requests are enabled, and new requests are set to Manual Review, the dataset owner should be notified of the pending requests. However, instead, currently nothing happens, and so the dataset request can go unanswered for quite some time until the owner happens to check that part... | {
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https://api.github.com/repos/huggingface/datasets/issues/5891 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5891/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5891/comments | https://api.github.com/repos/huggingface/datasets/issues/5891/events | https://github.com/huggingface/datasets/pull/5891 | 1,722,384,135 | PR_kwDODunzps5RKchn | 5,891 | Make split slicing consistent with list slicing | {
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> DatasetDict({
train: Dataset({
features: ['input', 'output'],
num_rows: 4500
})
test: Dataset({
features: ['input', 'output'],
num_rows: 500
})
})
**# input (in-correct sentence)**
`data['train'][0]['input']`
**>>** 'We are meet sunday 10am12pmET i... | null | {
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### Steps to reproduce the bug
Use link as reference document written https://c... | {
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when i used Dataset.map api to process data concurrently, i found that
it gets slower and slower as it gets closer to completion. Then i read the source code of arrow_dataset.py and found that it shard the dataset and use multiprocessing pool to execute each shard.It may cause the slowest task ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5885 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5885/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5885/comments | https://api.github.com/repos/huggingface/datasets/issues/5885/events | https://github.com/huggingface/datasets/pull/5885 | 1,720,954,440 | PR_kwDODunzps5RFjTL | 5,885 | Modify `is_remote_filesystem` to return True for FUSE-mounted paths | {
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https://api.github.com/repos/huggingface/datasets/issues/5888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5888/comments | https://api.github.com/repos/huggingface/datasets/issues/5888/events | https://github.com/huggingface/datasets/issues/5888 | 1,722,290,363 | I_kwDODunzps5mqBC7 | 5,888 | A way to upload and visualize .mp4 files (millions of them) as part of a dataset | {
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} | **Is your feature request related to a problem? Please describe.**
I recently chose to use huggingface hub as the home for a large multi modal dataset I've been building. https://huggingface.co/datasets/Antreas/TALI
It combines images, text, audio and video. Now, I could very easily upload a dataset made via datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5884 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5884/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5884/comments | https://api.github.com/repos/huggingface/datasets/issues/5884/events | https://github.com/huggingface/datasets/issues/5884 | 1,719,548,172 | I_kwDODunzps5mfjkM | 5,884 | `Dataset.to_tf_dataset` fails when strings cannot be encoded as `np.bytes_` | {
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When loading any dataset that contains a column with strings that are not ASCII-compatible, looping over those records raises the following exception e.g. for `Γ©` character `UnicodeEncodeError: 'ascii' codec can't encode character '\xe9' in position 0: ordinal not in range(128)`.
### Steps to rep... | {
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https://api.github.com/repos/huggingface/datasets/issues/5883 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5883/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5883/comments | https://api.github.com/repos/huggingface/datasets/issues/5883/events | https://github.com/huggingface/datasets/pull/5883 | 1,719,527,597 | PR_kwDODunzps5RAkYi | 5,883 | Fix string-encoding, make `batch_size` optional, and minor improvements in `Dataset.to_tf_dataset` | {
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This PR addresses some minor fixes and general improvements in the `to_tf_dataset` method of `datasets.Dataset`, to convert a π€HuggingFace Dataset as a TensorFlow Dataset.
The main bug solved in this PR comes with the string-encoding, since for safety purposes the internal conversion of `nu... | {
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https://api.github.com/repos/huggingface/datasets/issues/5881 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5881/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5881/comments | https://api.github.com/repos/huggingface/datasets/issues/5881/events | https://github.com/huggingface/datasets/issues/5881 | 1,719,402,643 | I_kwDODunzps5mfACT | 5,881 | Split dataset by node: index error when sharding iterable dataset | {
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} | ### Describe the bug
Context: we're splitting an iterable dataset by node and then passing it to a torch data loader with multiple workers
When we iterate over it for 5 steps, we don't get an error
When we instead iterate over it for 8 steps, we get an `IndexError` when fetching the data if we have too many wo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5880 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5880/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5880/comments | https://api.github.com/repos/huggingface/datasets/issues/5880/events | https://github.com/huggingface/datasets/issues/5880 | 1,719,090,101 | I_kwDODunzps5mdzu1 | 5,880 | load_dataset from s3 file system through streaming can't not iterate data | {
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I have a JSON file in my s3 file system(minio), I can use load_dataset to get the file link, but I can't iterate it
<img width="816" alt="image" src="https://github.com/huggingface/datasets/assets/59083384/cc0778d3-36f3-45b5-ac68-4e7c664c2ed0">
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https://api.github.com/repos/huggingface/datasets/issues/5878 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5878/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5878/comments | https://api.github.com/repos/huggingface/datasets/issues/5878/events | https://github.com/huggingface/datasets/issues/5878 | 1,718,203,843 | I_kwDODunzps5mabXD | 5,878 | Prefetching for IterableDataset | {
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Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5877/comments | https://api.github.com/repos/huggingface/datasets/issues/5877/events | https://github.com/huggingface/datasets/issues/5877 | 1,717,983,961 | I_kwDODunzps5mZlrZ | 5,877 | Request for text deduplication feature | {
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It would be great if there would be support for high performance, highly scalable text deduplication algorithms as part of the datasets library.
### Motivation
Motivated by this blog post https://huggingface.co/blog/dedup and this library https://github.com/google-research/deduplicate-text-datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5876/comments | https://api.github.com/repos/huggingface/datasets/issues/5876/events | https://github.com/huggingface/datasets/issues/5876 | 1,717,978,985 | I_kwDODunzps5mZkdp | 5,876 | Incompatibility with DataLab | {
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Hello,
I am currently working on a project where both [DataLab](https://github.com/ExpressAI/DataLab) and [datasets](https://github.com/huggingface/datasets) are subdependencies.
I noticed that I cannot import both libraries, as they both register FileSystems in `fsspec`, expecting the FileSyste... | {
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https://api.github.com/repos/huggingface/datasets/issues/5875 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5875/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5875/comments | https://api.github.com/repos/huggingface/datasets/issues/5875/events | https://github.com/huggingface/datasets/issues/5875 | 1,716,770,394 | I_kwDODunzps5mU9Za | 5,875 | Why split slicing doesn't behave like list slicing ? | {
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] | closed | false | null | [] | null | 1 | 2023-05-19 07:21:10+00:00 | 2024-01-31 15:54:18+00:00 | 2024-01-31 15:54:18+00:00 | NONE | null | null | {
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} | ### Describe the bug
If I want to get the first 10 samples of my dataset, I can do :
```
ds = datasets.load_dataset('mnist', split='train[:10]')
```
But if I exceed the number of samples in the dataset, an exception is raised :
```
ds = datasets.load_dataset('mnist', split='train[:999999999]')
```
> V... | {
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https://api.github.com/repos/huggingface/datasets/issues/5874 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5874/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5874/comments | https://api.github.com/repos/huggingface/datasets/issues/5874/events | https://github.com/huggingface/datasets/issues/5874 | 1,715,708,930 | I_kwDODunzps5mQ6QC | 5,874 | Using as_dataset on a "parquet" builder | {
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} | ### Describe the bug
I used a custom builder to ``download_and_prepare`` a dataset. The first (very minor) issue is that the doc seems to suggest ``download_and_prepare`` will return the dataset, while it does not ([builder.py](https://github.com/huggingface/datasets/blob/main/src/datasets/builder.py#L718-L738)).
```... | {
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} | ### Feature request
Add an environment variable to replace the default lock file path.
### Motivation
Usually, dataset path is a read-only path while the lock file needs to be modified each time. It would be convenient if the path can be reset individually.
### Your contribution
```/src/datasets/utils/fi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5872 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5872/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5872/comments | https://api.github.com/repos/huggingface/datasets/issues/5872/events | https://github.com/huggingface/datasets/pull/5872 | 1,713,174,662 | PR_kwDODunzps5QrQ5o | 5,872 | Fix infer module for uppercase extensions | {
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Before, `None` module was returned. | {
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} | ### Describe the bug
I am working with the `recipe_nlg` dataset, which requires manual download. Once it's downloaded, I've noticed that the hash in the custom data configuration is different if I add a trailing `/` to my `data_dir`. It took me a while to notice that the hashes were different, and to understand that... | {
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https://api.github.com/repos/huggingface/datasets/issues/5870 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5870/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5870/comments | https://api.github.com/repos/huggingface/datasets/issues/5870/events | https://github.com/huggingface/datasets/issues/5870 | 1,712,156,282 | I_kwDODunzps5mDW56 | 5,870 | Behaviour difference between datasets.map and IterableDatasets.map | {
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} | ### Describe the bug
All the examples in all the docs mentioned throughout huggingface datasets correspond to datasets object, and not IterableDatasets object. At one point of time, they might have been in sync, but the code for datasets version >=2.9.0 is very different as compared to the docs.
I basically need to ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5869 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5869/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5869/comments | https://api.github.com/repos/huggingface/datasets/issues/5869/events | https://github.com/huggingface/datasets/issues/5869 | 1,711,990,003 | I_kwDODunzps5mCuTz | 5,869 | Image Encoding Issue when submitting a Parquet Dataset | {
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} | ### Describe the bug
Hello,
I'd like to report an issue related to pushing a dataset represented as a Parquet file to a dataset repository using Dask. Here are the details:
We attempted to load an example dataset in Parquet format from the Hugging Face (HF) filesystem using Dask with the following code snippet... | {
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https://api.github.com/repos/huggingface/datasets/issues/5868 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5868/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5868/comments | https://api.github.com/repos/huggingface/datasets/issues/5868/events | https://github.com/huggingface/datasets/issues/5868 | 1,711,173,098 | I_kwDODunzps5l_m3q | 5,868 | Is it possible to change a cached file and 're-cache' it instead of re-generating? | {
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Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | {
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https://api.github.com/repos/huggingface/datasets/issues/5867 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5867/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5867/comments | https://api.github.com/repos/huggingface/datasets/issues/5867/events | https://github.com/huggingface/datasets/pull/5867 | 1,710,656,067 | PR_kwDODunzps5QizOn | 5,867 | Add logic for hashing modules/functions optimized with `torch.compile` | {
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PS: The `Pickler.save` method is becoming a bit messy, so I plan to refactor the pickler a bit at some point. | {
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https://api.github.com/repos/huggingface/datasets/issues/5866 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5866/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5866/comments | https://api.github.com/repos/huggingface/datasets/issues/5866/events | https://github.com/huggingface/datasets/issues/5866 | 1,710,496,993 | I_kwDODunzps5l9Bzh | 5,866 | Issue with Sequence features | {
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Sequences features sometimes causes errors when the specified length is not -1
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Features, ClassLabel, Sequence, Value, Dataset
feats = Features(**{'target': ClassLabel(names=[0, 1]),'x': Sequence(feature=Va... | {
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https://api.github.com/repos/huggingface/datasets/issues/5865 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5865/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5865/comments | https://api.github.com/repos/huggingface/datasets/issues/5865/events | https://github.com/huggingface/datasets/pull/5865 | 1,710,455,738 | PR_kwDODunzps5QiHnw | 5,865 | Deprecate task api | {
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These are the projects that still use the task API :
* the image classification example in Transformers: [here](https://github.com/huggingfac... | {
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https://api.github.com/repos/huggingface/datasets/issues/5864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5864/comments | https://api.github.com/repos/huggingface/datasets/issues/5864/events | https://github.com/huggingface/datasets/issues/5864 | 1,710,450,047 | I_kwDODunzps5l82V_ | 5,864 | Slow iteration over Torch tensors | {
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} | ### Describe the bug
I have a problem related to this [issue](https://github.com/huggingface/datasets/issues/5841): I get a way slower iteration when using a Torch dataloader if I use vanilla Numpy tensors or if I first apply a ToTensor transform to the input. In particular, it takes 5 seconds to iterate over the vani... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5863 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5863/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5863/comments | https://api.github.com/repos/huggingface/datasets/issues/5863/events | https://github.com/huggingface/datasets/pull/5863 | 1,710,335,905 | PR_kwDODunzps5QhtlM | 5,863 | Use a new low-memory approach for tf dataset index shuffling | {
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Fixes #5855 | {
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https://api.github.com/repos/huggingface/datasets/issues/5862 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5862/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5862/comments | https://api.github.com/repos/huggingface/datasets/issues/5862/events | https://github.com/huggingface/datasets/issues/5862 | 1,710,140,646 | I_kwDODunzps5l7qzm | 5,862 | IndexError: list index out of range with data hosted on Zenodo | {
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```
IndexError: list index out of range
```
See:
- huggingface/datasets-server#1151
- https://huggingface.co/datasets/reddit/discussions/5
- huggingface/datasets-server#1118
- https://huggingface.co/datasets/krr-oxford/OntoLAMA/discussions/1
- https://hu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5861 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5861/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5861/comments | https://api.github.com/repos/huggingface/datasets/issues/5861/events | https://github.com/huggingface/datasets/pull/5861 | 1,709,807,340 | PR_kwDODunzps5Qf55q | 5,861 | Better error message when combining dataset dicts instead of datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/5860 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5860/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5860/comments | https://api.github.com/repos/huggingface/datasets/issues/5860/events | https://github.com/huggingface/datasets/pull/5860 | 1,709,727,460 | PR_kwDODunzps5QfojD | 5,860 | Minor tqdm optim | {
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On my side it sped up some iterable datasets by ~30% when `map_nested` is used extensively to recursively tensorize python dicts. | {
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https://api.github.com/repos/huggingface/datasets/issues/5859 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5859/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5859/comments | https://api.github.com/repos/huggingface/datasets/issues/5859/events | https://github.com/huggingface/datasets/pull/5859 | 1,709,554,829 | PR_kwDODunzps5QfDLC | 5,859 | Raise TypeError when indexing a dataset with bool | {
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https://api.github.com/repos/huggingface/datasets/issues/5858 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5858/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5858/comments | https://api.github.com/repos/huggingface/datasets/issues/5858/events | https://github.com/huggingface/datasets/issues/5858 | 1,709,332,632 | I_kwDODunzps5l4liY | 5,858 | Throw an error when dataset improperly indexed | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/5857 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5857/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5857/comments | https://api.github.com/repos/huggingface/datasets/issues/5857/events | https://github.com/huggingface/datasets/issues/5857 | 1,709,326,622 | I_kwDODunzps5l4kEe | 5,857 | Adding chemistry dataset/models in huggingface | {
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} | ### Feature request
Huggingface is really amazing platform for open science.
In addition to computer vision, video and NLP, would it be of interest to add chemistry/materials science dataset/models in Huggingface? Or, if its already done, can you provide some pointers.
We have been working on a comprehensive ben... | {
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} | ### Describe the bug
When try to load natural_questions through datasets == 2.12.0 with python == 3.8.9:
```python
import datasets
datasets.load_dataset('natural_questions',beam_runner='DirectRunner')
```
It failed with following info:
`pyarrow.lib.ArrowNotImplementedError: Nested data conversions not impl... | {
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https://api.github.com/repos/huggingface/datasets/issues/5855 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5855/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5855/comments | https://api.github.com/repos/huggingface/datasets/issues/5855/events | https://github.com/huggingface/datasets/issues/5855 | 1,708,784,943 | I_kwDODunzps5l2f0v | 5,855 | `to_tf_dataset` consumes too much memory | {
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} | ### Describe the bug
Hi, I'm using `to_tf_dataset` to convert a _large_ dataset to `tf.data.Dataset`. I observed that the data loading *before* training took a lot of time and memory, even with `batch_size=1`.
After some digging, i believe the reason lies in the shuffle behavior. The [source code](https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5854 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5854/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5854/comments | https://api.github.com/repos/huggingface/datasets/issues/5854/events | https://github.com/huggingface/datasets/issues/5854 | 1,708,779,300 | I_kwDODunzps5l2eck | 5,854 | Can not load audiofolder dataset on kaggle | {
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} | ### Describe the bug
It's crash log:
FileNotFoundError: Couldn't find a dataset script at /kaggle/working/audiofolder/audiofolder.py or any data file in the same directory. Couldn't find 'audiofolder' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingfac... | {
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It uses the data from Arrow if possible, otherwise applies recursive_tensorize.
When set back to format_type=None, cast_to_python_objects is used.
requires https://github.com/huggingface/datasets/pull/5821
close htt... | {
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https://api.github.com/repos/huggingface/datasets/issues/5850 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5850/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5850/comments | https://api.github.com/repos/huggingface/datasets/issues/5850/events | https://github.com/huggingface/datasets/pull/5850 | 1,707,678,911 | PR_kwDODunzps5QZALv | 5,850 | Make packaged builders skip non-supported file formats | {
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- Csv builder skips non-CSV files
- Analogously for the other builders
Fix #5849. | null | {
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} | When a no-script dataset has many CSV files and a JPG file, the library infers to use the Csv builder, but tries to read as CSV all files in the repo, also the JPG file.
I think the Csv builder should filter out non-CSV files when reading.
An analogue solution should be implemented for other packaged builders.
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https://api.github.com/repos/huggingface/datasets/issues/5848 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5848/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5848/comments | https://api.github.com/repos/huggingface/datasets/issues/5848/events | https://github.com/huggingface/datasets/pull/5848 | 1,707,506,734 | PR_kwDODunzps5QYa1B | 5,848 | Add `accelerate` as metric's test dependency to fix CI error | {
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Fixes the following [CI error](https://github.com/huggingface/datasets/actions/runs/4950900048/jobs/8855148703?pr=5845). | {
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https://api.github.com/repos/huggingface/datasets/issues/5847 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5847/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5847/comments | https://api.github.com/repos/huggingface/datasets/issues/5847/events | https://github.com/huggingface/datasets/issues/5847 | 1,706,616,634 | I_kwDODunzps5luOc6 | 5,847 | Streaming IterableDataset not working with translation pipeline | {
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} | ### Describe the bug
I'm trying to use a streaming dataset for translation inference to avoid downloading the training data.
I'm using a pipeline and a dataset, and following the guidance in the tutorial.
Instead I get an exception that IterableDataset has no len().
### Steps to reproduce the bug
CODE:
```
... | null | {
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standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction
I'm tr... | {
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https://api.github.com/repos/huggingface/datasets/issues/5846 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5846/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5846/comments | https://api.github.com/repos/huggingface/datasets/issues/5846/events | https://github.com/huggingface/datasets/issues/5846 | 1,706,289,290 | I_kwDODunzps5ls-iK | 5,846 | load_dataset('bigcode/the-stack-dedup', streaming=True) very slow! | {
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} | ### Describe the bug
Running
```
import datasets
ds = datasets.load_dataset('bigcode/the-stack-dedup', streaming=True)
```
takes about 2.5 minutes!
I would expect this to be near instantaneous. With other datasets, the runtime is one or two seconds.
### Environment info
- `datasets` version: 2.1... | {
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https://api.github.com/repos/huggingface/datasets/issues/5845 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5845/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5845/comments | https://api.github.com/repos/huggingface/datasets/issues/5845/events | https://github.com/huggingface/datasets/pull/5845 | 1,706,253,251 | PR_kwDODunzps5QUMjS | 5,845 | Add `date_format` param to the CSV reader | {
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https://api.github.com/repos/huggingface/datasets/issues/5844 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5844/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5844/comments | https://api.github.com/repos/huggingface/datasets/issues/5844/events | https://github.com/huggingface/datasets/issues/5844 | 1,705,907,812 | I_kwDODunzps5lrhZk | 5,844 | TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to ... | {
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} | ### Describe the bug
TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to {'answer': {'unanswerable': Value(dtype='bool', id=None),... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5841/comments | https://api.github.com/repos/huggingface/datasets/issues/5841/events | https://github.com/huggingface/datasets/issues/5841 | 1,705,286,639 | I_kwDODunzps5lpJvv | 5,841 | Abusurdly slow on iteration | {
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} | ### Describe the bug
I am attempting to iterate through an image dataset, but I am encountering a significant slowdown in the iteration speed. In order to investigate this issue, I conducted the following experiment:
```python
a=torch.randn(100,224)
a=torch.stack([a] * 10000)
a.shape
# %%
ds=Dataset.from_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/5840 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5840/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5840/comments | https://api.github.com/repos/huggingface/datasets/issues/5840/events | https://github.com/huggingface/datasets/issues/5840 | 1,705,212,085 | I_kwDODunzps5lo3i1 | 5,840 | load model error. | {
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} | ### Describe the bug
I had trained one model use deepspeed, when I load the final load I get the follow error:
OSError: Can't load tokenizer for '/XXX/DeepSpeedExamples/applications/DeepSpeed-Chat/output/step3-models/1.3b/actor'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5842 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5842/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5842/comments | https://api.github.com/repos/huggingface/datasets/issues/5842/events | https://github.com/huggingface/datasets/issues/5842 | 1,705,510,602 | I_kwDODunzps5lqAbK | 5,842 | Remove columns in interable dataset | {
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} | ### Feature request
Right now, remove_columns() produces a NotImplementedError for iterable style datasets
### Motivation
It would be great to have the same functionality irrespective of whether one is using an iterable or a map-style dataset
### Your contribution
hope and courage. | {
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https://api.github.com/repos/huggingface/datasets/issues/5843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5843/comments | https://api.github.com/repos/huggingface/datasets/issues/5843/events | https://github.com/huggingface/datasets/issues/5843 | 1,705,514,551 | I_kwDODunzps5lqBY3 | 5,843 | Can't add iterable datasets to a Dataset Dict. | {
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standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
Get th... | {
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} | As reported in https://github.com/huggingface/datasets/issues/5819, hashing functions/transforms that reference a model, or a function, optimized with `torch.compile` currently fails due to them not being picklable (the concrete error can be found in the linked issue).
The solutions to consider:
1. hashing/pickling... | {
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] | closed | false | null | [] | null | 12 | 2023-05-10 06:25:22+00:00 | 2024-10-28 14:19:44+00:00 | 2023-05-12 09:37:45+00:00 | NONE | null | null | {
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} | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5837/comments | https://api.github.com/repos/huggingface/datasets/issues/5837/events | https://github.com/huggingface/datasets/issues/5837 | 1,703,019,816 | I_kwDODunzps5lggUo | 5,837 | Use DeepSpeed load myself " .csv " dataset. | {
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} | ### Describe the bug
When I use DeepSpeed train a model with my own " XXX.csv" dataset I got the follow question:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/fm001/.conda/envs/hzl/lib/python3.8/site-packages/datasets/load.py", line 1767, in load_dataset
builder_instan... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5836/comments | https://api.github.com/repos/huggingface/datasets/issues/5836/events | https://github.com/huggingface/datasets/pull/5836 | 1,702,773,316 | PR_kwDODunzps5QIgzu | 5,836 | [docs] Custom decoding transforms | {
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https://api.github.com/repos/huggingface/datasets/issues/5835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5835/comments | https://api.github.com/repos/huggingface/datasets/issues/5835/events | https://github.com/huggingface/datasets/pull/5835 | 1,702,522,620 | PR_kwDODunzps5QHquR | 5,835 | Always set nullable fields in the writer | {
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Indeed `datasets.Features` doesn't support non-nullable fields, which can lead to data not concatenable due to arrow schema mismatch. | {
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https://api.github.com/repos/huggingface/datasets/issues/5834 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5834/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5834/comments | https://api.github.com/repos/huggingface/datasets/issues/5834/events | https://github.com/huggingface/datasets/issues/5834 | 1,702,448,892 | I_kwDODunzps5leU78 | 5,834 | Is uint8 supported? | {
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} | ### Describe the bug
I expect the dataset to store the data in the `uint8` data type, but it's returning `int64` instead.
While I've found that `datasets` doesn't yet support float16 (https://github.com/huggingface/datasets/issues/4981), I'm wondering if this is the case for other data types as well.
Is there a way ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5833 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5833/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5833/comments | https://api.github.com/repos/huggingface/datasets/issues/5833/events | https://github.com/huggingface/datasets/issues/5833 | 1,702,280,682 | I_kwDODunzps5ldr3q | 5,833 | Unable to push dataset - `create_pr` problem | {
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} | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | {
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https://api.github.com/repos/huggingface/datasets/issues/5832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5832/comments | https://api.github.com/repos/huggingface/datasets/issues/5832/events | https://github.com/huggingface/datasets/issues/5832 | 1,702,135,336 | I_kwDODunzps5ldIYo | 5,832 | 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased | {
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} | ### Describe the bug
Running [Bert-Large-Cased](https://huggingface.co/bert-large-cased) model causes `HTTPError`, with the following traceback-
```
HTTPError Traceback (most recent call last)
<ipython-input-6-5c580443a1ad> in <module>
----> 1 tokenizer = BertTokenizer.from_pretra... | {
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https://api.github.com/repos/huggingface/datasets/issues/5831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5831/comments | https://api.github.com/repos/huggingface/datasets/issues/5831/events | https://github.com/huggingface/datasets/issues/5831 | 1,701,813,835 | I_kwDODunzps5lb55L | 5,831 | [Bug]504 Server Error when loading dataset which was already cached | {
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"gists_url": "https://a... | [] | open | false | null | [] | null | 6 | 2023-05-09 10:31:07+00:00 | 2023-05-10 01:48:20+00:00 | NaT | NONE | null | null | {
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} | {
"blocked_by": 0,
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"total_blocked_by": 0,
"total_blocking": 0
} | ### Describe the bug
I have already cached the dataset using:
```
dataset = load_dataset("databricks/databricks-dolly-15k",
cache_dir="/mnt/data/llm/datasets/databricks-dolly-15k")
```
After that, I tried to load it again using the same machine, I got this error:
```
Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/5830 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5830/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5830/comments | https://api.github.com/repos/huggingface/datasets/issues/5830/events | https://github.com/huggingface/datasets/pull/5830 | 1,701,451,399 | PR_kwDODunzps5QEFEi | 5,830 | Debug windows #2 | {
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https://api.github.com/repos/huggingface/datasets/issues/5829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5829/comments | https://api.github.com/repos/huggingface/datasets/issues/5829/events | https://github.com/huggingface/datasets/issues/5829 | 1,699,958,189 | I_kwDODunzps5lU02t | 5,829 | (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64')) | {
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"gists_url": "https:... | [] | closed | false | null | [] | null | 2 | 2023-05-08 10:07:14+00:00 | 2023-06-30 11:39:14+00:00 | 2023-05-09 00:46:42+00:00 | NONE | null | null | {
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} | ### Describe the bug
M2 MBP can't run
```python
from datasets import load_dataset
jazzy = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision='v1.2-jazzy')
```
### Steps to reproduce the bug
1. Use M2 MBP
2. Python 3.10.10 from pyenv
3. Run
```
from datasets import load_dataset
jazzy = load_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5828 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5828/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5828/comments | https://api.github.com/repos/huggingface/datasets/issues/5828/events | https://github.com/huggingface/datasets/issues/5828 | 1,699,235,739 | I_kwDODunzps5lSEeb | 5,828 | Stream data concatenation issue | {
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"following_url": "https://api.github.com/users/krishnapriya-18/following{/other_user}"... | [] | closed | false | null | [] | null | 3 | 2023-05-07 21:02:54+00:00 | 2023-06-29 20:07:56+00:00 | 2023-05-10 05:05:47+00:00 | NONE | null | null | {
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} | ### Describe the bug
I am not able to concatenate the augmentation of the stream data. I am using the latest version of dataset.
ValueError: The features can't be aligned because the key audio of features {'audio_id': Value(dtype='string',
id=None), 'audio': {'array': Sequence(feature=Value(dtype='float32', id=... | {
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https://api.github.com/repos/huggingface/datasets/issues/5827 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5827/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5827/comments | https://api.github.com/repos/huggingface/datasets/issues/5827/events | https://github.com/huggingface/datasets/issues/5827 | 1,698,891,246 | I_kwDODunzps5lQwXu | 5,827 | load json dataset interrupt when dtype cast problem occured | {
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} | ### Describe the bug
i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
οΌwhich have several problematic rows data like row 2, then i load it with datasets.load_dataset('json', data_files=['xx.json'], split='train'), it will report like this:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5826/comments | https://api.github.com/repos/huggingface/datasets/issues/5826/events | https://github.com/huggingface/datasets/pull/5826 | 1,698,155,751 | PR_kwDODunzps5P5FYZ | 5,826 | Support working_dir in from_spark | {
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https://api.github.com/repos/huggingface/datasets/issues/5825 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5825/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5825/comments | https://api.github.com/repos/huggingface/datasets/issues/5825/events | https://github.com/huggingface/datasets/issues/5825 | 1,697,327,483 | I_kwDODunzps5lKyl7 | 5,825 | FileNotFound even though exists | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/5824 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5824/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5824/comments | https://api.github.com/repos/huggingface/datasets/issues/5824/events | https://github.com/huggingface/datasets/pull/5824 | 1,697,152,148 | PR_kwDODunzps5P1rIZ | 5,824 | Fix incomplete docstring for `BuilderConfig` | {
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Also fixed a couple of typos I spotted | {
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https://api.github.com/repos/huggingface/datasets/issues/5823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5823/comments | https://api.github.com/repos/huggingface/datasets/issues/5823/events | https://github.com/huggingface/datasets/issues/5823 | 1,697,024,789 | I_kwDODunzps5lJosV | 5,823 | [2.12.0] DatasetDict.save_to_disk not saving to S3 | {
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} | ### Describe the bug
When trying to save a `DatasetDict` to a private S3 bucket using `save_to_disk`, the artifacts are instead saved locally, and not in the S3 bucket.
I have tried using the deprecated `fs` as well as the `storage_options` arguments and I get the same results.
### Steps to reproduce the bug
1. C... | {
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https://api.github.com/repos/huggingface/datasets/issues/5822 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5822/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5822/comments | https://api.github.com/repos/huggingface/datasets/issues/5822/events | https://github.com/huggingface/datasets/issues/5822 | 1,696,627,308 | I_kwDODunzps5lIHps | 5,822 | Audio Dataset with_format torch problem | {
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} | ### Describe the bug
Common Voice v10 Delta (German) Dataset from here https://commonvoice.mozilla.org/de/datasets
```
audio_dataset = \
(Dataset
.from_dict({"audio": ('/tmp/cv-corpus-10.0-delta-2022-07-04/de/clips/' + df.path).to_list()})
.cast_column("audio", Audio(sampling_rate=16_000))
.with... | {
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https://api.github.com/repos/huggingface/datasets/issues/5821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5821/comments | https://api.github.com/repos/huggingface/datasets/issues/5821/events | https://github.com/huggingface/datasets/pull/5821 | 1,696,400,343 | PR_kwDODunzps5PzHLU | 5,821 | IterableDataset Arrow formatting | {
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This will also be useful for torch formatting, since we can reuse the TorchFormatter that converts Arrow data to torch tensors
Related to https://github.com/huggingface/datasets/issues/5793 and https://github... | {
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https://api.github.com/repos/huggingface/datasets/issues/5820 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5820/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5820/comments | https://api.github.com/repos/huggingface/datasets/issues/5820/events | https://github.com/huggingface/datasets/issues/5820 | 1,695,892,811 | I_kwDODunzps5lFUVL | 5,820 | Incomplete docstring for `BuilderConfig` | {
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I stumbled upon this docstring while working on a project.
Some of the attributes have missing descriptions.
https://github.com/huggingface/datasets/blob/bc5fef5b6d91f009e4101684adcb374df2c170f6/src/datasets/builder.py#L104-L117 | {
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https://api.github.com/repos/huggingface/datasets/issues/5819 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5819/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5819/comments | https://api.github.com/repos/huggingface/datasets/issues/5819/events | https://github.com/huggingface/datasets/issues/5819 | 1,695,536,738 | I_kwDODunzps5lD9Zi | 5,819 | Cannot pickle error in Dataset.from_generator() | {
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} | ### Describe the bug
I'm trying to use Dataset.from_generator() to generate a large dataset.
### Steps to reproduce the bug
Code to reproduce:
```
from transformers import T5Tokenizer, T5ForConditionalGeneration, GenerationConfig
import torch
from tqdm import tqdm
from datasets import load_dataset
tokenizer... | {
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https://api.github.com/repos/huggingface/datasets/issues/5818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5818/comments | https://api.github.com/repos/huggingface/datasets/issues/5818/events | https://github.com/huggingface/datasets/issues/5818 | 1,695,052,555 | I_kwDODunzps5lCHML | 5,818 | Ability to update a dataset | {
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The ability to load a dataset, add or change something, and save it back to disk.
Maybe it's possible, but I can't work out how to do it, e.g. this fails:
```py
import datasets
dataset = datasets.load_from_disk("data/test1")
dataset = dataset.add_item({"text": "A new item"})
dataset.sav... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5817/comments | https://api.github.com/repos/huggingface/datasets/issues/5817/events | https://github.com/huggingface/datasets/issues/5817 | 1,694,891,866 | I_kwDODunzps5lBf9a | 5,817 | Setting `num_proc` errors when `.map` returns additional items. | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/5816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5816/comments | https://api.github.com/repos/huggingface/datasets/issues/5816/events | https://github.com/huggingface/datasets/pull/5816 | 1,694,590,856 | PR_kwDODunzps5Ps4t9 | 5,816 | Preserve `stopping_strategy` of shuffled interleaved dataset (random cycling case) | {
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Fix #5812
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https://api.github.com/repos/huggingface/datasets/issues/5814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5814/comments | https://api.github.com/repos/huggingface/datasets/issues/5814/events | https://github.com/huggingface/datasets/pull/5814 | 1,693,216,778 | PR_kwDODunzps5PoOQ9 | 5,814 | Repro windows crash | {
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https://api.github.com/repos/huggingface/datasets/issues/5815 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5815/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5815/comments | https://api.github.com/repos/huggingface/datasets/issues/5815/events | https://github.com/huggingface/datasets/issues/5815 | 1,693,701,743 | I_kwDODunzps5k89Zv | 5,815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | {
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While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5813/comments | https://api.github.com/repos/huggingface/datasets/issues/5813/events | https://github.com/huggingface/datasets/pull/5813 | 1,691,908,535 | PR_kwDODunzps5Pj0_E | 5,813 | [DO-NOT-MERGE] Debug Windows issue at #3 | {
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https://api.github.com/repos/huggingface/datasets/issues/5812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5812/comments | https://api.github.com/repos/huggingface/datasets/issues/5812/events | https://github.com/huggingface/datasets/issues/5812 | 1,691,798,169 | I_kwDODunzps5k1sqZ | 5,812 | Cannot shuffle interleaved IterableDataset with "all_exhausted" stopping strategy | {
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} | ### Describe the bug
Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed = 42
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https://api.github.com/repos/huggingface/datasets/issues/5811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5811/comments | https://api.github.com/repos/huggingface/datasets/issues/5811/events | https://github.com/huggingface/datasets/issues/5811 | 1,689,919,046 | I_kwDODunzps5kuh5G | 5,811 | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | {
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I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` throws th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5810 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5810/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5810/comments | https://api.github.com/repos/huggingface/datasets/issues/5810/events | https://github.com/huggingface/datasets/pull/5810 | 1,689,917,822 | PR_kwDODunzps5PdJHI | 5,810 | Add `fn_kwargs` to `map` and `filter` of `IterableDataset` and `IterableDatasetDict` | {
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I've added an argument`fn_kwargs` for map and filter methods of `IterableDataset` and `IterableDatasetDict` classes.
# Details
Currently, the map and filter methods of some classes related to `IterableDataset` do not allow specifing the arguments passed to the function. This pull request adds `fn_kwargs... | {
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https://api.github.com/repos/huggingface/datasets/issues/5809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5809/comments | https://api.github.com/repos/huggingface/datasets/issues/5809/events | https://github.com/huggingface/datasets/issues/5809 | 1,689,797,293 | I_kwDODunzps5kuEKt | 5,809 | wiki_dpr details for Open Domain Question Answering tasks | {
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} | Hey guys!
Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | {
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https://api.github.com/repos/huggingface/datasets/issues/5807 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5807/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5807/comments | https://api.github.com/repos/huggingface/datasets/issues/5807/events | https://github.com/huggingface/datasets/pull/5807 | 1,688,977,237 | PR_kwDODunzps5PaKRE | 5,807 | Support parallelized downloading in load_dataset with Spark | {
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Parallelizing dataset processing is not supported in this PR. | {
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} | ### Feature request
Add an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
### Motivation
When training large language models, machine problems may interrupt... | null | {
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} | Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading.
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5802 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5802/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5802/comments | https://api.github.com/repos/huggingface/datasets/issues/5802/events | https://github.com/huggingface/datasets/pull/5802 | 1,686,509,799 | PR_kwDODunzps5PR199 | 5,802 | Validate non-empty data_files | {
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See: https://github.com/huggingface/datasets/pull/5787#discussion_r1178862327 | {
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https://api.github.com/repos/huggingface/datasets/issues/5800 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5800/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5800/comments | https://api.github.com/repos/huggingface/datasets/issues/5800/events | https://github.com/huggingface/datasets/pull/5800 | 1,686,348,096 | PR_kwDODunzps5PRTRh | 5,800 | Change downloaded file permission based on umask | {
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Related to:
- #2157
Fix #5799.
CC: @stas00 | {
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```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | {
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} | ### Feature request
When calling `load_dataset` for datasets that have multiple files, support using Spark to distribute the downloading and processing job to worker nodes when `cache_dir` is a cloud file system shared among nodes.
```python
load_dataset(..., use_spark=True)
```
### Motivation
Further speed up ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5797/comments | https://api.github.com/repos/huggingface/datasets/issues/5797/events | https://github.com/huggingface/datasets/issues/5797 | 1,685,501,199 | I_kwDODunzps5kdrUP | 5,797 | load_dataset is case sentitive? | {
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} | ### Describe the bug
load_dataset() function is case sensitive?
### Steps to reproduce the bug
The following two code, get totally different behavior.
1. load_dataset('mbzuai/bactrian-x','en')
2. load_dataset('MBZUAI/Bactrian-X','en')
### Expected behavior
Compare 1 and 2.
1 will download all 52 subsets, sh... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5796 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5796/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5796/comments | https://api.github.com/repos/huggingface/datasets/issues/5796/events | https://github.com/huggingface/datasets/pull/5796 | 1,685,451,919 | PR_kwDODunzps5PORm- | 5,796 | Spark docs | {
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cc @maddiedawson | {
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https://api.github.com/repos/huggingface/datasets/issues/5795 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5795/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5795/comments | https://api.github.com/repos/huggingface/datasets/issues/5795/events | https://github.com/huggingface/datasets/pull/5795 | 1,685,414,505 | PR_kwDODunzps5POJo8 | 5,795 | Fix spark imports | {
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https://api.github.com/repos/huggingface/datasets/issues/5794 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5794/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5794/comments | https://api.github.com/repos/huggingface/datasets/issues/5794/events | https://github.com/huggingface/datasets/issues/5794 | 1,685,196,061 | I_kwDODunzps5kcg0d | 5,794 | CI ZeroDivisionError | {
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} | Sometimes when running our CI on Windows, we get a ZeroDivisionError:
```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore - ZeroDivisionError: float division by zero
```
See for example:
- https://github.com/huggingface/datasets/actions/runs/4809358266/jobs/8560513110
- https:/... | {
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