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open | 2023-05-30T04:25:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/5914 | null | {
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"gists_url": "... | https://github.com/huggingface/datasets/issues/5914 | [] | false | 2023-05-30T04:25:00Z | null | null | [] | null | [] | array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size in Datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/5914/timeline | ### Describe the bug
When using the `filter` or `map` function to preprocess a dataset, a ValueError is encountered with the error message "array is too big; arr.size * arr.dtype.itemsize is larger than the maximum possible size."
Detailed error message:
Traceback (most recent call last):
File "data_processing... | https://api.github.com/repos/huggingface/datasets | null | 1,731,483,996 | https://api.github.com/repos/huggingface/datasets/issues/5914/comments | I_kwDODunzps5nNFlc | null | 5,914 | https://api.github.com/repos/huggingface/datasets/issues/5914/events | false |
closed | 2023-05-30T02:55:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/5913 | null | {
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"Thanks for reporting, @cjt222.\r\n\r\nWhat is the structure of your JSON files. Please note that it is normally simpler if the data file format is JSON-Lines instead. ",
"> Thanks for reporting, @cjt222.\r\n> \r\n> What is the structure of your JSON files. Please note that it is normally simpler if the data file... | completed | [] | I tried to load a custom dataset using the following statement: dataset = load_dataset('json', data_files=data_files). The dataset contains 50 million text-image pairs, but an error occurred. | NONE | https://api.github.com/repos/huggingface/datasets/issues/5913/timeline | ### Describe the bug
File "/home/kas/.conda/envs/diffusers/lib/python3.7/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
Downloading and preparing dataset json/default to /home/kas/diffusers/examples/dreambooth/cache_data/datasets/json/default-acf423d8c6ef99d0/0.0.0/e347ab1c932092252e717ff3f94... | https://api.github.com/repos/huggingface/datasets | null | 1,731,427,484 | https://api.github.com/repos/huggingface/datasets/issues/5913/comments | I_kwDODunzps5nM3yc | null | 5,913 | https://api.github.com/repos/huggingface/datasets/issues/5913/events | false |
closed | 2023-05-29T08:09:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/5912 | null | {
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"Hi ! in your code batching is **only used within** `map`, to process examples in batch. The dataset itself however is not batched and returns elements one by one.\r\n\r\nTo iterate on batches, you can do\r\n```python\r\nfor batch in dataset.iter(batch_size=8):\r\n ...\r\n```"
] | completed | [] | Missing elements in `map` a batched dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5912/timeline | ### Describe the bug
As outlined [here](https://discuss.huggingface.co/t/length-error-using-map-with-datasets/40969/3?u=sachin), the following collate function drops 5 out of possible 6 elements in the batch (it is 6 because out of the eight, two are bad links in laion). A reproducible [kaggle kernel ](https://www.kag... | https://api.github.com/repos/huggingface/datasets | null | 1,730,299,852 | https://api.github.com/repos/huggingface/datasets/issues/5912/comments | I_kwDODunzps5nIkfM | null | 5,912 | https://api.github.com/repos/huggingface/datasets/issues/5912/events | false |
closed | 2023-05-27T19:22:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/5910 | null | {
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"Currently, it's not possible to chain `set_format`/`set_transform` calls (plus, this is a breaking change if we decide to implement it), so I see two possible solutions:\r\n* using `set_format`/`set_transform` for the 1st transform and then passing the transformed example/batch to the 2nd transform\r\n* implementi... | completed | [] | Cannot use both set_format and set_transform | NONE | https://api.github.com/repos/huggingface/datasets/issues/5910/timeline | ### Describe the bug
I need to process some data using the set_transform method but I also need the data to be formatted for pytorch before processing it.
I don't see anywhere in the documentation something that says that both methods cannot be used at the same time.
### Steps to reproduce the bug
```
from... | https://api.github.com/repos/huggingface/datasets | null | 1,728,909,790 | https://api.github.com/repos/huggingface/datasets/issues/5910/comments | I_kwDODunzps5nDRHe | null | 5,910 | https://api.github.com/repos/huggingface/datasets/issues/5910/events | false |
closed | 2023-05-27T18:54:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/5909 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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open | 2023-05-27T11:08:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/5908 | null | {
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"Hi ! `shard` currently returns a slow dataset by default, with examples evenly distributed in the dataset.\r\n\r\nYou can get a fast dataset using `contiguous=True` (which should be the default imo):\r\n\r\n```python\r\ndataset = dataset.shard(10, 0, contiguous=True)\r\n```\r\n\r\nThis way you don't need to flatte... | null | [] | Unbearably slow sorting on big mapped datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5908/timeline | ### Describe the bug
For me, with ~40k lines, sorting took 3.5 seconds on a flattened dataset (including the flatten operation) and 22.7 seconds on a mapped dataset (right after sharding), which is about x5 slowdown. Moreover, it seems like it slows down exponentially with bigger datasets (wasn't able to sort 700k lin... | https://api.github.com/repos/huggingface/datasets | null | 1,728,653,935 | https://api.github.com/repos/huggingface/datasets/issues/5908/comments | I_kwDODunzps5nCSpv | null | 5,908 | https://api.github.com/repos/huggingface/datasets/issues/5908/events | false |
closed | 2023-05-27T10:55:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/5907 | null | {
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closed | 2023-05-26T20:02:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/5906 | null | {
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Could you unpin [this](https://github.com/huggingface/datasets/blob/main/setup.py#L139) or move it to test requirements? This is a testing library and we also use it for our tests as well. We do not want to use a very outdated version.
### Steps to reproduce the bug
could not install this librar... | https://api.github.com/repos/huggingface/datasets | null | 1,728,171,113 | https://api.github.com/repos/huggingface/datasets/issues/5906/comments | I_kwDODunzps5nAcxp | null | 5,906 | https://api.github.com/repos/huggingface/datasets/issues/5906/events | false |
open | 2023-05-26T12:33:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/5905 | null | {
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"We plan to improve this eventually (see https://github.com/huggingface/datasets/issues/5454 and https://github.com/huggingface/datasets/issues/5380).\r\n\r\n> Is it possible to lazily load samples of a mapped dataset ? I'm used to [dataset scripts](https://huggingface.co/docs/datasets/dataset_script), maybe someth... | null | [
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] | Offer an alternative to Iterable Dataset that allows lazy loading and processing while skipping batches efficiently | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5905/timeline | ### Feature request
I would like a way to resume training from a checkpoint without waiting for a very long time when using an iterable dataset.
### Motivation
I am training models on the speech-recognition task. I have very large datasets that I can't comfortably store on a disk and also quite computationally... | https://api.github.com/repos/huggingface/datasets | null | 1,727,541,392 | https://api.github.com/repos/huggingface/datasets/issues/5905/comments | I_kwDODunzps5m-DCQ | null | 5,905 | https://api.github.com/repos/huggingface/datasets/issues/5905/events | false |
closed | 2023-05-26T11:12:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/5904 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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This way users get more informative error messages, instead of:
```stacktrace
.../huggingface/datasets/src/datasets/arrow_reader.py in make_file_instructions(name, split_infos, instruction, filetype_suffix, prefix_path)
110 name2len = {info.name: info... | https://api.github.com/repos/huggingface/datasets | {
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"Also this could be extended to the rest of the GitHub Action `yml` files, so let me know whether you want me to have a look into it! 🤗",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5903). All of your documentation changes will be reflected on that endpoint.",
"Maybe ... | null | [] | Relax `ci.yml` trigger for `pull_request` based on modified paths | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5903/timeline | ## What's in this PR?
As of a previous PR at #5902, I've seen that the CI was automatically trigger on any file, in that case when modifying a Jupyter Notebook (.ipynb), which IMO could be skipped, as the modification on the Jupyter Notebook has no effect/impact on the `ci.yml` outcome. So this PR controls the paths... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-26T10:25:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/5902 | null | {
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"Random fact: previous run was showing that the Hub was hosting 13336 datasets, while the most recent run shows 36662 👀🎉",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks! \r\n\r\nHowever, I think we should stop linking this notebook and use the notebook version of the ... | null | [] | Fix `Overview.ipynb` & detach Jupyter Notebooks from `datasets` repository | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5902/timeline | ## What's in this PR?
This PR solves #5887 since there was a mismatch between the tokenizer and the model used, since the tokenizer was `bert-base-cased` while the model was `distilbert-base-case` both for the PyTorch and TensorFlow alternatives. Since DistilBERT doesn't use/need the `token_type_ids`, the `**batch` ... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-26T08:48:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/5901 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Make prepare_split more robust if errors in metadata dataset_info splits | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5901/timeline | This PR uses `split_generator.split_info` as default value for `split_info` if any exception is raised while trying to get `split_generator.name` from `self.info.splits` (this may happen if there is any error in the metadata dataset_info splits).
Please note that `split_info` is only used by the logger.
Fix #5895... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-25T18:17:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/5899 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | canonicalize data dir in config ID hash | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5899/timeline | fixes #5871
The second commit is optional but improves readability. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-25T17:08:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/5898 | null | {
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"got that the syntax is like this\r\n\r\ndataset = load_dataset(\"facebook/flores\", \"ace_Arab\")"
] | completed | [] | Loading The flores data set for specific language | NONE | https://api.github.com/repos/huggingface/datasets/issues/5898/timeline | ### 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
... | https://api.github.com/repos/huggingface/datasets | null | 1,726,190,481 | https://api.github.com/repos/huggingface/datasets/issues/5898/comments | I_kwDODunzps5m45OR | null | 5,898 | https://api.github.com/repos/huggingface/datasets/issues/5898/events | false |
closed | 2023-05-25T16:26:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/5897 | null | {
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Fix #5866 | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-25T15:14:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/5896 | null | {
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"I also faced this. Any update?"
] | null | [] | HuggingFace does not cache downloaded files aggressively/early enough | NONE | https://api.github.com/repos/huggingface/datasets/issues/5896/timeline | ### 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%|████████████████████████████████████████████████████... | https://api.github.com/repos/huggingface/datasets | null | 1,726,022,500 | https://api.github.com/repos/huggingface/datasets/issues/5896/comments | I_kwDODunzps5m4QNk | null | 5,896 | https://api.github.com/repos/huggingface/datasets/issues/5896/events | false |
closed | 2023-05-25T09:39:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/5895 | null | {
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"Thanks for reporting, @DongHande.\r\n\r\nI think the issue is caused by the metadata in the dataset card: in the header of the `README.md`, they state that the dataset has 4 splits (\"finetune\", \"reward\", \"rl\", \"evaluation\"). \r\n```yaml\r\n splits:\r\n - name: finetune\r\n num_bytes: 6674567576\r\... | completed | [] | The dir name and split strings are confused when loading ArmelR/stack-exchange-instruction dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5895/timeline | ### 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", ... | https://api.github.com/repos/huggingface/datasets | null | 1,725,467,252 | https://api.github.com/repos/huggingface/datasets/issues/5895/comments | I_kwDODunzps5m2Ip0 | null | 5,895 | https://api.github.com/repos/huggingface/datasets/issues/5895/events | false |
closed | 2023-05-24T21:41:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/5894 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Force overwrite existing filesystem protocol | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5894/timeline | Fix #5876 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-23T17:40:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/5893 | null | {
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"@lhoestq Could you please look into that and review?",
"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq I refactored the code. Could you please check is it what you requested?",
"@lhoestq Thanks for a review. Excellent tips. All tips applied. ",
"I think there is j... | null | [] | Load cached dataset as iterable | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5893/timeline | To be used to train models it allows to load an IterableDataset from the cached Arrow file.
See https://github.com/huggingface/datasets/issues/5481 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-23T17:27:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/5892 | null | {
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"cc @SBrandeis",
"I think this has been addressed.\r\n\r\nPlease open a new issue if you are still not getting notified."
] | completed | [] | User access requests with manual review do not notify the dataset owner | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5892/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,722,503,824 | https://api.github.com/repos/huggingface/datasets/issues/5892/comments | I_kwDODunzps5mq1KQ | null | 5,892 | https://api.github.com/repos/huggingface/datasets/issues/5892/events | false |
closed | 2023-05-23T16:04:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/5891 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5891). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | null | [] | Make split slicing consistent with list slicing | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5891/timeline | Fix #1774, fix #5875
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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... | https://api.github.com/repos/huggingface/datasets | null | 1,722,373,618 | https://api.github.com/repos/huggingface/datasets/issues/5889/comments | I_kwDODunzps5mqVXy | null | 5,889 | https://api.github.com/repos/huggingface/datasets/issues/5889/events | false |
closed | 2023-05-23T14:09:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/5887 | {
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"Nice catch @donhuvy, that's because some models don't need the `token_type_ids`, as in this case, as the example is using `distilbert-base-cased`, and according to the DistilBert documentation at https://huggingface.co/transformers/v3.0.2/model_doc/distilbert.html, `DistilBert doesn’t have token_type_ids, you don’... | completed | [] | HuggingsFace dataset example give error | NONE | https://api.github.com/repos/huggingface/datasets/issues/5887/timeline | ### Describe the bug
### Steps to reproduce the bug
Use link as reference document written https://c... | https://api.github.com/repos/huggingface/datasets | null | 1,722,166,382 | https://api.github.com/repos/huggingface/datasets/issues/5887/comments | I_kwDODunzps5mpixu | null | 5,887 | https://api.github.com/repos/huggingface/datasets/issues/5887/events | false |
open | 2023-05-23T03:08:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/5886 | null | {
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"Alternatively we could set the number of shards to be a factor than the number of processes (current they're equal) - this way it will be less likely to end up with a shard that is significantly slower than all the other ones."
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] | Use work-stealing algorithm when parallel computing | NONE | https://api.github.com/repos/huggingface/datasets/issues/5886/timeline | ### Feature request
when i used Dataset.map api to process data concurrently, i found that
it gets slower and slower as it gets closer to completion. Then i read the source code of arrow_dataset.py and found that it shard the dataset and use multiprocessing pool to execute each shard.It may cause the slowest task ... | https://api.github.com/repos/huggingface/datasets | null | 1,721,070,225 | https://api.github.com/repos/huggingface/datasets/issues/5886/comments | I_kwDODunzps5mlXKR | null | 5,886 | https://api.github.com/repos/huggingface/datasets/issues/5886/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5885). All of your documentation changes will be reflected on that endpoint.",
"@lhoestq would you or another maintainer be able to review please? :)",
"Why you do need to support FUSE mounted paths ?\r\n\r\n`datasets` uses d... | null | [] | Modify `is_remote_filesystem` to return True for FUSE-mounted paths | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5885/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-22T18:05:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/5888 | null | {
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"Hi! \r\n\r\nYou want to use `push_to_hub` (creates Parquet files) instead of `save_to_disk` (creates Arrow files) when creating a Hub dataset. Parquet is designed for long-term storage and takes less space than the Arrow format, and, most importantly, `load_dataset` can parse it, which should fix the viewer. \r\n\... | null | [] | A way to upload and visualize .mp4 files (millions of them) as part of a dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5888/timeline | **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... | https://api.github.com/repos/huggingface/datasets | null | 1,722,290,363 | https://api.github.com/repos/huggingface/datasets/issues/5888/comments | I_kwDODunzps5mqBC7 | null | 5,888 | https://api.github.com/repos/huggingface/datasets/issues/5888/events | false |
closed | 2023-05-22T12:03:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/5884 | {
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"May eventually be solved in #5883 ",
"#self-assign"
] | completed | [] | `Dataset.to_tf_dataset` fails when strings cannot be encoded as `np.bytes_` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5884/timeline | ### Describe the bug
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 `é` character `UnicodeEncodeError: 'ascii' codec can't encode character '\xe9' in position 0: ordinal not in range(128)`.
### Steps to rep... | https://api.github.com/repos/huggingface/datasets | null | 1,719,548,172 | https://api.github.com/repos/huggingface/datasets/issues/5884/comments | I_kwDODunzps5mfjkM | null | 5,884 | https://api.github.com/repos/huggingface/datasets/issues/5884/events | false |
closed | 2023-05-22T11:51:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/5883 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"To showcase the current issue, here's a Colab Gist, that shows that the `imdb` dataset cannot be read/iterated, since one or more samples contain a non-ascii character that is being converted to `numpy.bytes_`, and so on fails.\r\n\r... | null | [] | Fix string-encoding, make `batch_size` optional, and minor improvements in `Dataset.to_tf_dataset` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5883/timeline | ## What's in this PR?
This PR addresses some minor fixes and general improvements in the `to_tf_dataset` method of `datasets.Dataset`, to convert a 🤗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... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-22T10:36:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/5881 | null | {
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"cc @lhoestq in case you have any ideas here! Might need a multi-host set-up to debug (can give you access to a JAX one if you need)",
"I am also facing the same problem. Could you let me know if you found a solution for this?",
"I couldn't reproduce with the latest version of `datasets` 2.16.1, can you update ... | null | [] | Split dataset by node: index error when sharding iterable dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5881/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,719,402,643 | https://api.github.com/repos/huggingface/datasets/issues/5881/comments | I_kwDODunzps5mfACT | null | 5,881 | https://api.github.com/repos/huggingface/datasets/issues/5881/events | false |
open | 2023-05-22T07:40:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/5880 | null | {
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"This sounds related to #5281.\r\n\r\nCan you try passing `storage_options=s3_client.storage_options` instead passing it to `use_auth_token=` ?",
"I tried `storage_options` before, but it doesn't work, I checked our source code and I found that we even didn't pass this parameter to the following process. if I use... | null | [] | load_dataset from s3 file system through streaming can't not iterate data | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5880/timeline | ### Describe the bug
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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"Very cool! Do you have a link to the code that you're using to eagerly fetch the data? Would also be interested in hacking around something here for pre-fetching iterable datasets",
"I ended up just switching back to the pytorch dataloader and using it's multiprocessing functionality to handle this :(. I'm just ... | null | [
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] | Prefetching for IterableDataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5878/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,718,203,843 | https://api.github.com/repos/huggingface/datasets/issues/5878/comments | I_kwDODunzps5mabXD | null | 5,878 | https://api.github.com/repos/huggingface/datasets/issues/5878/events | false |
open | 2023-05-20T01:56:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/5877 | null | {
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"The \"exact match\" deduplication will be possible when we resolve https://github.com/huggingface/datasets/issues/2514 (first, https://github.com/apache/arrow/issues/30950 needs to be addressed on the Arrow side). In the meantime, you can use Polars or DuckDB (e.g., via [datasets-sql](https://github.com/mariosasko... | null | [
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] | Request for text deduplication feature | NONE | https://api.github.com/repos/huggingface/datasets/issues/5877/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,717,983,961 | https://api.github.com/repos/huggingface/datasets/issues/5877/comments | I_kwDODunzps5mZlrZ | null | 5,877 | https://api.github.com/repos/huggingface/datasets/issues/5877/events | false |
closed | 2023-05-20T01:39:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/5876 | null | {
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"Indeed, `clobber=True` (with a warning if the existing protocol will be overwritten) should fix the issue, but maybe a better solution is to register our compression filesystem before the script is executed and unregister them afterward. WDYT @lhoestq @albertvillanova?",
"I think we should use clobber and show a... | completed | [
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] | Incompatibility with DataLab | NONE | https://api.github.com/repos/huggingface/datasets/issues/5876/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,717,978,985 | https://api.github.com/repos/huggingface/datasets/issues/5876/comments | I_kwDODunzps5mZkdp | null | 5,876 | https://api.github.com/repos/huggingface/datasets/issues/5876/events | false |
closed | 2023-05-19T07:21:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/5875 | null | {
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"A duplicate of https://github.com/huggingface/datasets/issues/1774"
] | completed | [
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] | Why split slicing doesn't behave like list slicing ? | NONE | https://api.github.com/repos/huggingface/datasets/issues/5875/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,716,770,394 | https://api.github.com/repos/huggingface/datasets/issues/5875/comments | I_kwDODunzps5mU9Za | null | 5,875 | https://api.github.com/repos/huggingface/datasets/issues/5875/events | false |
closed | 2023-05-18T14:09:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/5874 | null | {
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"Hi! You can refer to [this doc](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) to see the intended usage (basically, it skips the Arrow -> Parquet conversion step in `ds = load_dataset(...); ds.to_parquet(\"path/to/parquet\")`) and allows writing P... | completed | [] | Using as_dataset on a "parquet" builder | NONE | https://api.github.com/repos/huggingface/datasets/issues/5874/timeline | ### 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)).
```... | https://api.github.com/repos/huggingface/datasets | null | 1,715,708,930 | https://api.github.com/repos/huggingface/datasets/issues/5874/comments | I_kwDODunzps5mQ6QC | null | 5,874 | https://api.github.com/repos/huggingface/datasets/issues/5874/events | false |
open | 2023-05-17T07:10:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/5873 | null | {
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] | Allow setting the environment variable for the lock file path | NONE | https://api.github.com/repos/huggingface/datasets/issues/5873/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,713,269,724 | https://api.github.com/repos/huggingface/datasets/issues/5873/comments | I_kwDODunzps5mHmvc | null | 5,873 | https://api.github.com/repos/huggingface/datasets/issues/5873/events | false |
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix infer module for uppercase extensions | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5872/timeline | Fix the `infer_module_for_data_files` and `infer_module_for_data_files_in_archives` functions when passed a data file name with uppercase extension, e.g. `filename.TXT`.
Before, `None` module was returned. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-16T18:56:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/5871 | {
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"It could even use `os.path.realpath` to resolve symlinks.",
"Indeed, it makes sense to normalize `data_dir`. Feel free to submit a PR (this can be \"fixed\" [here](https://github.com/huggingface/datasets/blob/89f775226321ba94e5bf4670a323c0fb44f5f65c/src/datasets/builder.py#L173))",
"#self-assign"
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] | data configuration hash suffix depends on uncanonicalized data_dir | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5871/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,712,573,073 | https://api.github.com/repos/huggingface/datasets/issues/5871/comments | I_kwDODunzps5mE8qR | null | 5,871 | https://api.github.com/repos/huggingface/datasets/issues/5871/events | false |
open | 2023-05-16T14:32:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/5870 | null | {
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"PS - some work is definitely needed for 'special cases' docs, not explanations, just usages of 'functions' under mixture of special cases, like a combination of custom databuilder + iterable dataset for large size + dynamic .map() application."
] | null | [] | Behaviour difference between datasets.map and IterableDatasets.map | NONE | https://api.github.com/repos/huggingface/datasets/issues/5870/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,712,156,282 | https://api.github.com/repos/huggingface/datasets/issues/5870/comments | I_kwDODunzps5mDW56 | null | 5,870 | https://api.github.com/repos/huggingface/datasets/issues/5870/events | false |
closed | 2023-05-16T09:42:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/5869 | null | {
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"Hi @PhilippeMoussalli thanks for opening a detailed issue. It seems the issue is more related to the `datasets` library so I'll ping @lhoestq @mariosasko on this one :) \n\n(edit: also can one of you move the issue to the datasets repo? Thanks in advance 🙏)",
"Hi ! The `Image()` info is stored in the **schema m... | completed | [
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] | Image Encoding Issue when submitting a Parquet Dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5869/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,711,990,003 | https://api.github.com/repos/huggingface/datasets/issues/5869/comments | I_kwDODunzps5mCuTz | null | 5,869 | https://api.github.com/repos/huggingface/datasets/issues/5869/events | false |
closed | 2023-05-16T03:45:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/5868 | null | {
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"Arrow files/primitives (tables and arrays) are immutable, so re-generating them is the only option, I'm afraid.",
"> \r\n\r\nGot it, thanks for your reply"
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] | Is it possible to change a cached file and 're-cache' it instead of re-generating? | NONE | https://api.github.com/repos/huggingface/datasets/issues/5868/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,711,173,098 | https://api.github.com/repos/huggingface/datasets/issues/5868/comments | I_kwDODunzps5l_m3q | null | 5,868 | https://api.github.com/repos/huggingface/datasets/issues/5868/events | false |
closed | 2023-05-15T19:03:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/5867 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Add logic for hashing modules/functions optimized with `torch.compile` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5867/timeline | Fix https://github.com/huggingface/datasets/issues/5839
PS: The `Pickler.save` method is becoming a bit messy, so I plan to refactor the pickler a bit at some point. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-15T17:13:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/5866 | null | {
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"Thanks for reporting! I've opened a PR with a fix."
] | completed | [] | Issue with Sequence features | NONE | https://api.github.com/repos/huggingface/datasets/issues/5866/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,710,496,993 | https://api.github.com/repos/huggingface/datasets/issues/5866/comments | I_kwDODunzps5l9Bzh | null | 5,866 | https://api.github.com/repos/huggingface/datasets/issues/5866/events | false |
closed | 2023-05-15T16:48:24Z | null | https://api.github.com/repos/huggingface/datasets/issues/5865 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"If it's easy to keep supporting it we can keep it no ? There are many datasets on the hub that implement the tasks templates in dataset scripts and it's maybe easier to keep task templates than opening PRs to those datasets.",
"do ... | null | [] | Deprecate task api | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5865/timeline | The task API is not well adopted in the ecosystem, so this PR deprecates it. The `train_eval_index` is a newer, more flexible solution that should be used instead (I think?).
These are the projects that still use the task API :
* the image classification example in Transformers: [here](https://github.com/huggingfac... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-15T16:43:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/5864 | null | {
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"I am highly interested performance of dataset so I ran your example as a curious user.\r\n```python\r\ntrain_dataset.cast_column(\"x\", Array3D(shape=img_shape, dtype=\"float32\"))\r\n```\r\nhave return values and \"x\" is a new column, it shoulde be\r\n```python\r\nds=train_dataset.cast_column(\"img\", Array3D(sh... | null | [] | Slow iteration over Torch tensors | NONE | https://api.github.com/repos/huggingface/datasets/issues/5864/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,710,450,047 | https://api.github.com/repos/huggingface/datasets/issues/5864/comments | I_kwDODunzps5l82V_ | null | 5,864 | https://api.github.com/repos/huggingface/datasets/issues/5864/events | false |
closed | 2023-05-15T15:28:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/5863 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5863). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | null | [] | Use a new low-memory approach for tf dataset index shuffling | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5863/timeline | This PR tries out a new approach to generating the index tensor in `to_tf_dataset`, which should reduce memory usage for very large datasets. I'll need to do some testing before merging it!
Fixes #5855 | https://api.github.com/repos/huggingface/datasets | {
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"This error is also raised when data is hosted on Google Drive:\r\n- https://huggingface.co/datasets/docred/discussions/5\r\n- https://huggingface.co/datasets/linnaeus/discussions/3\r\n- https://huggingface.co/datasets/poleval2019_mt/discussions/3\r\n- https://huggingface.co/datasets/reddit_tifu/discussions/2\r\n- ... | null | [
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] | IndexError: list index out of range with data hosted on Zenodo | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5862/timeline | The dataset viewer sometimes raises an `IndexError`:
```
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... | https://api.github.com/repos/huggingface/datasets | null | 1,710,140,646 | https://api.github.com/repos/huggingface/datasets/issues/5862/comments | I_kwDODunzps5l7qzm | null | 5,862 | https://api.github.com/repos/huggingface/datasets/issues/5862/events | false |
closed | 2023-05-15T10:36:24Z | null | https://api.github.com/repos/huggingface/datasets/issues/5861 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Better error message when combining dataset dicts instead of datasets | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5861/timeline | close https://github.com/huggingface/datasets/issues/5851 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-15T09:49:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/5860 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Minor tqdm optim | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5860/timeline | Don't create a tqdm progress bar when `disable_tqdm` is passed to `map_nested`.
On my side it sped up some iterable datasets by ~30% when `map_nested` is used extensively to recursively tensorize python dicts. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-15T08:08:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/5859 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq any idea why this only fails (CI integration fails are unrelated) in \"Build PR Documentation / build / build_pr_documentation\" (which uses Python 3.8), with message:\r\n```\r\nTypeError: Type subscription requires python >... | null | [] | Raise TypeError when indexing a dataset with bool | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5859/timeline | Fix #5858. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-15T05:15:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/5858 | {
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"Thanks for reporting, @sarahwie.\r\n\r\nPlease note that in `datasets` we do not have vectorized operation like `pandas`. Therefore, your equality comparisons above are `False`:\r\n- For example: `squad['question']` returns a `list`, and this list is not equal to `\"Who was the Norse leader?\"`\r\n\r\nThe `False` ... | completed | [] | Throw an error when dataset improperly indexed | NONE | https://api.github.com/repos/huggingface/datasets/issues/5858/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,709,332,632 | https://api.github.com/repos/huggingface/datasets/issues/5858/comments | I_kwDODunzps5l4liY | null | 5,858 | https://api.github.com/repos/huggingface/datasets/issues/5858/events | false |
closed | 2023-05-15T05:09:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/5857 | null | {
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"Hi! \r\n\r\nThis would be a nice addition to the Hub! You can find the existing chemistry datasets/models on the Hub (using the `chemistry` tag) [here](https://huggingface.co/search/full-text?q=chemistry&type=model&type=dataset).\r\n\r\nFeel free to ping us here on the Hub if you need help adding the datasets.\r\n... | completed | [
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] | Adding chemistry dataset/models in huggingface | NONE | https://api.github.com/repos/huggingface/datasets/issues/5857/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,709,326,622 | https://api.github.com/repos/huggingface/datasets/issues/5857/comments | I_kwDODunzps5l4kEe | null | 5,857 | https://api.github.com/repos/huggingface/datasets/issues/5857/events | false |
closed | 2023-05-15T02:46:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/5856 | null | {
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"Hi! You can avoid this error by using the preprocessed version:\r\n```python\r\nimport datasets\r\nds = datasets.load_dataset('natural_questions')\r\n```\r\n\r\nPS: Once we finish https://github.com/huggingface/datasets/pull/5364, this error will no longer be a problem.",
"> Hi! You can avoid this error by using... | completed | [] | Error loading natural_questions | NONE | https://api.github.com/repos/huggingface/datasets/issues/5856/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,709,218,242 | https://api.github.com/repos/huggingface/datasets/issues/5856/comments | I_kwDODunzps5l4JnC | null | 5,856 | https://api.github.com/repos/huggingface/datasets/issues/5856/events | false |
closed | 2023-05-14T01:22:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/5855 | null | {
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"Cc @amyeroberts @Rocketknight1 \r\n\r\nIndded I think it's because it does something like this under the hood when there's no multiprocessing:\r\n\r\n```python\r\ntf_dataset = tf_dataset.shuffle(len(dataset))\r\n```\r\n\r\nPS: with multiprocessing it appears to be different:\r\n\r\n```python\r\nindices = np.arange... | completed | [] | `to_tf_dataset` consumes too much memory | NONE | https://api.github.com/repos/huggingface/datasets/issues/5855/timeline | ### 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.... | https://api.github.com/repos/huggingface/datasets | null | 1,708,784,943 | https://api.github.com/repos/huggingface/datasets/issues/5855/comments | I_kwDODunzps5l2f0v | null | 5,855 | https://api.github.com/repos/huggingface/datasets/issues/5855/events | false |
closed | 2023-05-14T00:50:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/5854 | null | {
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"Hi! `audiofolder` requires `datasets>=2.5.0`, so please update the `datasets`' installation (`pip install -U datasets`) in the environment (and restart the env for the update to take effect) to resolve the issue.",
"> Hi! `audiofolder` requires `datasets>=2.5.0`, so please update the `datasets`' installation (`p... | completed | [] | Can not load audiofolder dataset on kaggle | NONE | https://api.github.com/repos/huggingface/datasets/issues/5854/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,708,779,300 | https://api.github.com/repos/huggingface/datasets/issues/5854/comments | I_kwDODunzps5l2eck | null | 5,854 | https://api.github.com/repos/huggingface/datasets/issues/5854/events | false |
closed | 2023-05-12T19:19:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/5853 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@mishig25 note that it's not exactly the same behavior as in nginx as here it interacts a bit with the `version` and the `language`\r\n\r\nShould be close enough, though.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow=... | null | [] | [docs] Redirects, migrated from nginx | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5853/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Iterable torch formatting | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5852/timeline | Used the TorchFormatter to get torch tensors in iterable dataset with format set to "torch".
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... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-12T13:52:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/5850 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5850). All of your documentation changes will be reflected on that endpoint.",
"Good idea. @mariosasko!!!\r\n\r\nPlease note that before this PR, the files are not evenly distributed for archives: `_generate_examples` gets a li... | null | [] | Make packaged builders skip non-supported file formats | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5850/timeline | This PR makes packaged builders skip non-supported file formats:
- Csv builder skips non-CSV files
- Analogously for the other builders
Fix #5849. | https://api.github.com/repos/huggingface/datasets | {
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] | CSV datasets should only read the CSV data files in the repo | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5849/timeline | 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.
... | https://api.github.com/repos/huggingface/datasets | null | 1,707,551,511 | https://api.github.com/repos/huggingface/datasets/issues/5849/comments | I_kwDODunzps5lxysX | null | 5,849 | https://api.github.com/repos/huggingface/datasets/issues/5849/events | false |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Add `accelerate` as metric's test dependency to fix CI error | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5848/timeline | The `frugalscore` metric uses Transformers' Trainer, which requires `accelerate` (as of recently).
Fixes the following [CI error](https://github.com/huggingface/datasets/actions/runs/4950900048/jobs/8855148703?pr=5845). | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-11T21:52:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/5847 | null | {
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"I wasn't sure to file this against transformers or datasets.",
"[`KeyDataset`](https://github.com/huggingface/transformers/blob/7f8b909189547944617741d8d3c6c84504701693/src/transformers/pipelines/pt_utils.py#L296) doesn't support iterable datasets, so you either need to implement a version that does (and also in... | null | [] | Streaming IterableDataset not working with translation pipeline | NONE | https://api.github.com/repos/huggingface/datasets/issues/5847/timeline | ### 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:
```
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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... | https://api.github.com/repos/huggingface/datasets | null | 1,707,907,048 | https://api.github.com/repos/huggingface/datasets/issues/5851/comments | I_kwDODunzps5lzJfo | null | 5,851 | https://api.github.com/repos/huggingface/datasets/issues/5851/events | false |
open | 2023-05-11T17:58:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/5846 | {
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"This is due to the slow resolution of the data files: https://github.com/huggingface/datasets/issues/5537.\r\n\r\nWe plan to switch to `huggingface_hub`'s `HfFileSystem` soon to make the resolution faster (will be up to 20x faster once we merge https://github.com/huggingface/huggingface_hub/pull/1443)\r\n\r\n",
... | null | [] | load_dataset('bigcode/the-stack-dedup', streaming=True) very slow! | NONE | https://api.github.com/repos/huggingface/datasets/issues/5846/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,706,289,290 | https://api.github.com/repos/huggingface/datasets/issues/5846/comments | I_kwDODunzps5ls-iK | null | 5,846 | https://api.github.com/repos/huggingface/datasets/issues/5846/events | false |
closed | 2023-05-11T17:29:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/5845 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Add `date_format` param to the CSV reader | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5845/timeline | Adds the `date_format` param introduced in Pandas 2.0 to the CSV reader and improves its type hints. | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-11T14:15:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/5844 | null | {
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"gists_u... | https://github.com/huggingface/datasets/issues/5844 | [] | false | 2023-05-11T14:15:01Z | null | null | [] | null | [] | 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 ... | NONE | https://api.github.com/repos/huggingface/datasets/issues/5844/timeline | ### 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),... | https://api.github.com/repos/huggingface/datasets | null | 1,705,907,812 | https://api.github.com/repos/huggingface/datasets/issues/5844/comments | I_kwDODunzps5lrhZk | null | 5,844 | https://api.github.com/repos/huggingface/datasets/issues/5844/events | false |
closed | 2023-05-11T08:04:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/5841 | null | {
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"Hi ! You can try to use the [Image](https://huggingface.co/docs/datasets/v2.12.0/en/package_reference/main_classes#datasets.Image) type which [decodes images on-the-fly](https://huggingface.co/docs/datasets/v2.12.0/en/about_dataset_features#image-feature) into pytorch tensors :)\r\n\r\n```python\r\nds = Dataset.fr... | completed | [] | Abusurdly slow on iteration | NONE | https://api.github.com/repos/huggingface/datasets/issues/5841/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,705,286,639 | https://api.github.com/repos/huggingface/datasets/issues/5841/comments | I_kwDODunzps5lpJvv | null | 5,841 | https://api.github.com/repos/huggingface/datasets/issues/5841/events | false |
closed | 2023-05-11T07:12:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/5840 | null | {
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"Please report this in the `transformers` repo, as it's not related to `datasets`"
] | completed | [] | load model error. | NONE | https://api.github.com/repos/huggingface/datasets/issues/5840/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,705,212,085 | https://api.github.com/repos/huggingface/datasets/issues/5840/comments | I_kwDODunzps5lo3i1 | null | 5,840 | https://api.github.com/repos/huggingface/datasets/issues/5840/events | false |
closed | 2023-05-11T03:48:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/5842 | null | {
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"Transferring this issue as it's related to the 🤗 Datasets library ",
"Hi @surya-narayanan! Could you provide some code snippet?",
"This method has been recently added to the `IterableDataset`, so you need to update the `datasets`' installation (`pip install -U datasets`) to use it."
] | completed | [] | Remove columns in interable dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5842/timeline | ### 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. | https://api.github.com/repos/huggingface/datasets | null | 1,705,510,602 | https://api.github.com/repos/huggingface/datasets/issues/5842/comments | I_kwDODunzps5lqAbK | null | 5,842 | https://api.github.com/repos/huggingface/datasets/issues/5842/events | false |
closed | 2023-05-11T02:09:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/5843 | null | {
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"Transferring as this is relating to the 🤗 Datasets library",
"You need to use `IterableDatasetDict` instead of `DatasetDict` for iterable datasets."
] | completed | [] | Can't add iterable datasets to a Dataset Dict. | NONE | https://api.github.com/repos/huggingface/datasets/issues/5843/timeline | ### System Info
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... | https://api.github.com/repos/huggingface/datasets | null | 1,705,514,551 | https://api.github.com/repos/huggingface/datasets/issues/5843/comments | I_kwDODunzps5lqBY3 | null | 5,843 | https://api.github.com/repos/huggingface/datasets/issues/5843/events | false |
closed | 2023-05-10T20:02:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/5839 | {
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] | Make models/functions optimized with `torch.compile` hashable | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5839/timeline | 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... | https://api.github.com/repos/huggingface/datasets | null | 1,704,554,718 | https://api.github.com/repos/huggingface/datasets/issues/5839/comments | I_kwDODunzps5lmXDe | null | 5,839 | https://api.github.com/repos/huggingface/datasets/issues/5839/events | false |
closed | 2023-05-10T06:25:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/5838 | null | {
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"As the name says, `load_from_disk` load the data from your disk. If the data is hosted on S3, it is first downloaded locally and then loaded from your disk.\r\n\r\nThere is a discussion on streaming data from S3 here though: #5281 ",
"@lhoestq \r\nThanks for your comment. I have checked out the discussion before... | completed | [
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] | Streaming support for `load_from_disk` | NONE | https://api.github.com/repos/huggingface/datasets/issues/5838/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,703,210,848 | https://api.github.com/repos/huggingface/datasets/issues/5838/comments | I_kwDODunzps5lhO9g | null | 5,838 | https://api.github.com/repos/huggingface/datasets/issues/5838/events | false |
open | 2023-05-10T02:39:28Z | null | https://api.github.com/repos/huggingface/datasets/issues/5837 | null | {
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"Hi ! Doing `load_dataset(\"path/to/data.csv\")` is not supported yet, but you can do\r\n\r\n```python\r\nds = load_dataset(\"csv\", data_files=[\"path/to/data.csv\"])\r\n```",
"@lhoestq thank you.",
"The other question: \r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n Fil... | null | [] | Use DeepSpeed load myself " .csv " dataset. | NONE | https://api.github.com/repos/huggingface/datasets/issues/5837/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,703,019,816 | https://api.github.com/repos/huggingface/datasets/issues/5837/comments | I_kwDODunzps5lggUo | null | 5,837 | https://api.github.com/repos/huggingface/datasets/issues/5837/events | false |
closed | 2023-05-09T21:21:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/5836 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5836). All of your documentation changes will be reflected on that endpoint.",
"The error seems unrelated to the changes, so feel free to merge.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\... | null | [] | [docs] Custom decoding transforms | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5836/timeline | Adds custom decoding transform solution to the docs to fix #5782. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-09T18:16:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/5835 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Always set nullable fields in the writer | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5835/timeline | This fixes loading of e.g. parquet data with non-nullable fields.
Indeed `datasets.Features` doesn't support non-nullable fields, which can lead to data not concatenable due to arrow schema mismatch. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-09T17:31:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/5834 | null | {
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"Hi ! The numpy formatting detaults to int64 and float32 - but you can use uint8 using\r\n```python\r\nds = ds.with_format(\"numpy\", dtype=np.uint8)\r\n```",
"Related to https://github.com/huggingface/datasets/issues/5517.",
"Thank you!\r\nBy setting `ds.with_format(\"numpy\", dtype=np.uint8)`, the dataset ret... | completed | [] | Is uint8 supported? | NONE | https://api.github.com/repos/huggingface/datasets/issues/5834/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,702,448,892 | https://api.github.com/repos/huggingface/datasets/issues/5834/comments | I_kwDODunzps5leU78 | null | 5,834 | https://api.github.com/repos/huggingface/datasets/issues/5834/events | false |
closed | 2023-05-09T15:32:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/5833 | {
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"Thanks for reporting, @agombert.\r\n\r\nIn this case, I think the root issue is authentication: before pushing to Hub, you should authenticate. See our docs: https://huggingface.co/docs/datasets/upload_dataset#upload-with-python\r\n> 2. To upload a dataset on the Hub in Python, you need to log in to your Hugging F... | completed | [] | Unable to push dataset - `create_pr` problem | NONE | https://api.github.com/repos/huggingface/datasets/issues/5833/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,702,280,682 | https://api.github.com/repos/huggingface/datasets/issues/5833/comments | I_kwDODunzps5ldr3q | null | 5,833 | https://api.github.com/repos/huggingface/datasets/issues/5833/events | false |
closed | 2023-05-09T14:14:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/5832 | null | {
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"moved to https://github.com/huggingface/transformers/issues/23233"
] | completed | [] | 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased | NONE | https://api.github.com/repos/huggingface/datasets/issues/5832/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,702,135,336 | https://api.github.com/repos/huggingface/datasets/issues/5832/comments | I_kwDODunzps5ldIYo | null | 5,832 | https://api.github.com/repos/huggingface/datasets/issues/5832/events | false |
open | 2023-05-09T10:31:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/5831 | null | {
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"I am experiencing the same problem with the following environment:\r\n\r\n* `datasets` version: 2.11.0\r\n* Platform: `Linux 5.19.0-41-generic x86_64 GNU/Linux`\r\n* Python version: `3.8.5`\r\n* Huggingface_hub version: 0.13.3\r\n* PyArrow version: `11.0.0`\r\n* Pandas version: `1.5.3`\r\n\r\nTrying to get some di... | reopened | [] | [Bug]504 Server Error when loading dataset which was already cached | NONE | https://api.github.com/repos/huggingface/datasets/issues/5831/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,701,813,835 | https://api.github.com/repos/huggingface/datasets/issues/5831/comments | I_kwDODunzps5lb55L | null | 5,831 | https://api.github.com/repos/huggingface/datasets/issues/5831/events | false |
closed | 2023-05-09T06:40:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/5830 | null | {
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closed | 2023-05-08T10:07:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/5829 | null | {
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"Can you paste the error stack trace?",
"That is weird. I can't reproduce it again after reboot.\r\n```python\r\nIn [2]: import platform\r\n\r\nIn [3]: platform.platform()\r\nOut[3]: 'macOS-13.2-arm64-arm-64bit'\r\n\r\nIn [4]: from datasets import load_dataset\r\n ...:\r\n ...: jazzy = load_dataset(\"nomic-ai... | completed | [] | (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64')) | NONE | https://api.github.com/repos/huggingface/datasets/issues/5829/timeline | ### 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_... | https://api.github.com/repos/huggingface/datasets | null | 1,699,958,189 | https://api.github.com/repos/huggingface/datasets/issues/5829/comments | I_kwDODunzps5lU02t | null | 5,829 | https://api.github.com/repos/huggingface/datasets/issues/5829/events | false |
closed | 2023-05-07T21:02:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/5828 | null | {
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"Hi! \r\n\r\nYou can call `map` as follows to avoid the error:\r\n```python\r\naugmented_dataset_cln = dataset_cln['train'].map(augment_dataset, features=dataset_cln['train'].features)\r\n```",
"Thanks it is solved",
"Hi! \r\nI have run into the same problem with you. Could you please let me know how you solve ... | completed | [] | Stream data concatenation issue | NONE | https://api.github.com/repos/huggingface/datasets/issues/5828/timeline | ### 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=... | https://api.github.com/repos/huggingface/datasets | null | 1,699,235,739 | https://api.github.com/repos/huggingface/datasets/issues/5828/comments | I_kwDODunzps5lSEeb | null | 5,828 | https://api.github.com/repos/huggingface/datasets/issues/5828/events | false |
open | 2023-05-07T04:52:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/5827 | null | {
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"Indeed the JSON dataset builder raises an error when it encounters an unexpected type.\r\n\r\nThere's an old PR open to add away to ignore such elements though, if it can help: https://github.com/huggingface/datasets/pull/2838"
] | null | [] | load json dataset interrupt when dtype cast problem occured | NONE | https://api.github.com/repos/huggingface/datasets/issues/5827/timeline | ### Describe the bug
i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
，which 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:
... | https://api.github.com/repos/huggingface/datasets | null | 1,698,891,246 | https://api.github.com/repos/huggingface/datasets/issues/5827/comments | I_kwDODunzps5lQwXu | null | 5,827 | https://api.github.com/repos/huggingface/datasets/issues/5827/events | false |
closed | 2023-05-05T20:22:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/5826 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Added env var",
"@lhoestq would you or another maintainer be able to review please? :)",
"I removed the env var",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!<... | null | [] | Support working_dir in from_spark | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5826/timeline | Accept `working_dir` as an argument to `Dataset.from_spark`. Setting a non-NFS working directory for Spark workers to materialize to will improve write performance. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-05T09:49:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/5825 | null | {
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"Hi! \r\n\r\nThis would only work if `bigscience/xP3` was a no-code dataset, but it isn't (it has a Python builder script).\r\n\r\nBut this should work: \r\n```python\r\nload_dataset(\"json\", data_files=\"https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_a... | completed | [] | FileNotFound even though exists | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5825/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,697,327,483 | https://api.github.com/repos/huggingface/datasets/issues/5825/comments | I_kwDODunzps5lKyl7 | null | 5,825 | https://api.github.com/repos/huggingface/datasets/issues/5825/events | false |
closed | 2023-05-05T07:34:28Z | null | https://api.github.com/repos/huggingface/datasets/issues/5824 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix incomplete docstring for `BuilderConfig` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5824/timeline | Fixes #5820
Also fixed a couple of typos I spotted | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-05T05:22:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/5823 | null | {
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"Hi ! Can you try adding the `s3://` prefix ?\r\n```python\r\nf\"s3://{s3_bucket}/{s3_dir}/{dataset_name}\"\r\n```",
"Ugh, yeah that was it. Thank you!"
] | completed | [] | [2.12.0] DatasetDict.save_to_disk not saving to S3 | NONE | https://api.github.com/repos/huggingface/datasets/issues/5823/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,697,024,789 | https://api.github.com/repos/huggingface/datasets/issues/5823/comments | I_kwDODunzps5lJosV | null | 5,823 | https://api.github.com/repos/huggingface/datasets/issues/5823/events | false |
closed | 2023-05-04T20:07:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/5822 | null | {
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"Hi ! Can you try with a more recent version of `datasets` ?",
"Ok, yes it worked with the most recent version. Thanks"
] | completed | [] | Audio Dataset with_format torch problem | NONE | https://api.github.com/repos/huggingface/datasets/issues/5822/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,696,627,308 | https://api.github.com/repos/huggingface/datasets/issues/5822/comments | I_kwDODunzps5lIHps | null | 5,822 | https://api.github.com/repos/huggingface/datasets/issues/5822/events | false |
closed | 2023-05-04T17:23:43Z | null | https://api.github.com/repos/huggingface/datasets/issues/5821 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | IterableDataset Arrow formatting | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5821/timeline | Adding an optional `.iter_arrow` to examples iterable. This allows to use Arrow formatting in map/filter.
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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-04T12:14:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/5820 | null | {
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"Thanks for reporting! You are more than welcome to improve `BuilderConfig`'s docstring.\r\n\r\nThis class serves an identical purpose as `tensorflow_datasets`'s `BuilderConfig`, and its docstring is [here](https://github.com/tensorflow/datasets/blob/a95e38b5bb018312c3d3720619c2a8ef83ebf57f/tensorflow_datasets/core... | completed | [
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] | Incomplete docstring for `BuilderConfig` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5820/timeline | Hi guys !
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 | https://api.github.com/repos/huggingface/datasets | null | 1,695,892,811 | https://api.github.com/repos/huggingface/datasets/issues/5820/comments | I_kwDODunzps5lFUVL | null | 5,820 | https://api.github.com/repos/huggingface/datasets/issues/5820/events | false |
closed | 2023-05-04T08:39:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/5819 | null | {
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"Hi! It should work if you put `model = torch.compile(model)` inside the `generate_data` function. If a referenced object is outside, it needs to be pickable, and that's not the case for the compiled models (or functions). ",
"> Hi! It should work if you put `model = torch.compile(model)` inside the `generate_da... | completed | [] | Cannot pickle error in Dataset.from_generator() | NONE | https://api.github.com/repos/huggingface/datasets/issues/5819/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,695,536,738 | https://api.github.com/repos/huggingface/datasets/issues/5819/comments | I_kwDODunzps5lD9Zi | null | 5,819 | https://api.github.com/repos/huggingface/datasets/issues/5819/events | false |
open | 2023-05-04T01:08:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/5818 | null | {
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"This [reply](https://discuss.huggingface.co/t/how-do-i-add-things-rows-to-an-already-saved-dataset/27423) from @mariosasko on the forums may be useful :)",
"In this case, I think we can avoid the `PermissionError` by unpacking the underlying `ConcatenationTable` and saving only the newly added data blocks (in ne... | null | [
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] | Ability to update a dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5818/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,695,052,555 | https://api.github.com/repos/huggingface/datasets/issues/5818/comments | I_kwDODunzps5lCHML | null | 5,818 | https://api.github.com/repos/huggingface/datasets/issues/5818/events | false |
closed | 2023-05-03T21:46:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/5817 | null | {
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"Hi ! Unfortunately I couldn't reproduce on my side locally and with datasets 2.11 and python 3.10.11 on colab.\r\nWhat version of `multiprocess` are you using ?",
"I've got `multiprocess` version `0.70.14`.\r\n\r\nI've done some more testing and the error only occurs in PyCharm's Python Console. It seems to be [... | completed | [] | Setting `num_proc` errors when `.map` returns additional items. | NONE | https://api.github.com/repos/huggingface/datasets/issues/5817/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,694,891,866 | https://api.github.com/repos/huggingface/datasets/issues/5817/comments | I_kwDODunzps5lBf9a | null | 5,817 | https://api.github.com/repos/huggingface/datasets/issues/5817/events | false |
closed | 2023-05-03T18:34:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/5816 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Preserve `stopping_strategy` of shuffled interleaved dataset (random cycling case) | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5816/timeline | Preserve the `stopping_strategy` in the `RandomlyCyclingMultiSourcesExamplesIterable.shard_data_sources` to fix shuffling a dataset interleaved (from multiple sources) with probabilities.
Fix #5812
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closed | 2023-05-02T23:30:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/5814 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5814). All of your documentation changes will be reflected on that endpoint."
] | null | [] | Repro windows crash | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5814/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-05-02T21:43:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/5815 | null | {
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"Hi @hrbigelow , I'm no expert for such a question so I'll ping @lhoestq from the `datasets` library (also this issue could be moved there if someone with permission can do it :) )",
"Hi ! Many datasets are made of several files, and how they are parsed often requires a python script. Because of that, datasets li... | null | [] | Easy way to create a Kaggle dataset from a Huggingface dataset? | NONE | https://api.github.com/repos/huggingface/datasets/issues/5815/timeline | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
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closed | 2023-05-02T07:19:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/5813 | null | {
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closed | 2023-05-02T05:26:17Z | null | https://api.github.com/repos/huggingface/datasets/issues/5812 | {
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"descrip... | Cannot shuffle interleaved IterableDataset with "all_exhausted" stopping strategy | NONE | https://api.github.com/repos/huggingface/datasets/issues/5812/timeline | ### 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
... | https://api.github.com/repos/huggingface/datasets | null | 1,691,798,169 | https://api.github.com/repos/huggingface/datasets/issues/5812/comments | I_kwDODunzps5k1sqZ | null | 5,812 | https://api.github.com/repos/huggingface/datasets/issues/5812/events | false |
open | 2023-04-30T13:27:17Z | null | https://api.github.com/repos/huggingface/datasets/issues/5811 | null | {
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"This error means a `DatasetBuilder` subclass that generates the dataset could not be found inside the script, so make sure `dushowxa-characters/dushowxa-characters.py `is a valid dataset script (assuming `path_or_dataset` is `dushowxa-characters`)\r\n\r\nAlso, we should improve the error to make it more obvious wh... | null | [] | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | NONE | https://api.github.com/repos/huggingface/datasets/issues/5811/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,689,919,046 | https://api.github.com/repos/huggingface/datasets/issues/5811/comments | I_kwDODunzps5kuh5G | null | 5,811 | https://api.github.com/repos/huggingface/datasets/issues/5811/events | false |
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