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https://api.github.com/repos/huggingface/datasets/issues/7051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7051/comments | https://api.github.com/repos/huggingface/datasets/issues/7051/events | https://github.com/huggingface/datasets/issues/7051 | 2,409,353,929 | I_kwDODunzps6Pm9LJ | 7,051 | How to set_epoch with interleave_datasets? | {
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I want to train on an interleaved dataset of A+B, with stopping_strategy='all_exhausted' so dataset B doesn't repeat any examples. But every time A is exhausted I want it to be reshuffled (eg. calling set_epoch)
Of course I... | {
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https://api.github.com/repos/huggingface/datasets/issues/7050 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7050/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7050/comments | https://api.github.com/repos/huggingface/datasets/issues/7050/events | https://github.com/huggingface/datasets/pull/7050 | 2,409,048,733 | PR_kwDODunzps51Z1Yp | 7,050 | add checkpoint and resume title in docs | {
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https://api.github.com/repos/huggingface/datasets/issues/7049 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7049/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7049/comments | https://api.github.com/repos/huggingface/datasets/issues/7049/events | https://github.com/huggingface/datasets/issues/7049 | 2,408,514,366 | I_kwDODunzps6PjwM- | 7,049 | Save nparray as list | {
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"gists_url": "... | [] | open | false | null | [] | null | 1 | 2024-07-15T11:36:11 | 2024-07-15T12:20:52 | null | NONE | null | ### Describe the bug
When I use the `map` function to convert images into features, datasets saves nparray as a list. Some people use the `set_format` function to convert the column back, but doesn't this lose precision?
### Steps to reproduce the bug
the map function
```python
def convert_image_to_features(inst, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7048/comments | https://api.github.com/repos/huggingface/datasets/issues/7048/events | https://github.com/huggingface/datasets/issues/7048 | 2,408,487,547 | I_kwDODunzps6Pjpp7 | 7,048 | ImportError: numpy.core.multiarray when using `filter` | {
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I can't apply the filter method on my dataset.
### Steps to reproduce the bug
The following snippet generates a bug:
```python
from datasets import load_dataset
ami = load_dataset('kamilakesbi/ami', 'ihm')
ami['train'].filter(
lambda example: example["file_name"] == 'EN2001a'
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7047/comments | https://api.github.com/repos/huggingface/datasets/issues/7047/events | https://github.com/huggingface/datasets/issues/7047 | 2,406,495,084 | I_kwDODunzps6PcDNs | 7,047 | Save Dataset as Sharded Parquet | {
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] | open | false | null | [] | null | 1 | 2024-07-12T23:47:51 | 2024-07-13T00:55:24 | null | NONE | null | ### Feature request
`to_parquet` currently saves the dataset as one massive, monolithic parquet file, rather than as several small parquet files. It should shard large datasets automatically.
### Motivation
This default behavior makes me very sad because a program I ran for 6 hours saved its results using `to_... | {
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https://api.github.com/repos/huggingface/datasets/issues/7046 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7046/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7046/comments | https://api.github.com/repos/huggingface/datasets/issues/7046/events | https://github.com/huggingface/datasets/pull/7046 | 2,405,485,582 | PR_kwDODunzps51N05n | 7,046 | Support librosa and numpy 2.0 for Python 3.10 | {
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- https://github.com/dofuuz/python-soxr/releases/tag/v0.4.0b1
- https://github.com/dofuuz/python-soxr/issues/28 | {
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https://api.github.com/repos/huggingface/datasets/issues/7045 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7045/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7045/comments | https://api.github.com/repos/huggingface/datasets/issues/7045/events | https://github.com/huggingface/datasets/pull/7045 | 2,405,447,858 | PR_kwDODunzps51Nsie | 7,045 | Fix tensorflow min version depending on Python version | {
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Related to:
- #6991 | {
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https://api.github.com/repos/huggingface/datasets/issues/7044 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7044/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7044/comments | https://api.github.com/repos/huggingface/datasets/issues/7044/events | https://github.com/huggingface/datasets/pull/7044 | 2,405,002,987 | PR_kwDODunzps51MLbh | 7,044 | Mark tests that require librosa | {
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Note that `librosa` is an optional dependency (installed with `audio` option) and we should be able to test environments without that library installed. This is the case if we want to test Numpy 2.0, which is currently incompatible with `librosa` due to its dependency on `soxr`:
-... | {
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https://api.github.com/repos/huggingface/datasets/issues/7043 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7043/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7043/comments | https://api.github.com/repos/huggingface/datasets/issues/7043/events | https://github.com/huggingface/datasets/pull/7043 | 2,404,951,714 | PR_kwDODunzps51MAN0 | 7,043 | Add decorator as explicit test dependency | {
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We use `decorator` library in our CI test since PR:
- #4845
However we did not add it as an explicit test requirement, and we depended on it indirectly through other libraries' dependencies.
I discovered this while testing Numpy 2.0 and removing incompatible librarie... | {
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https://api.github.com/repos/huggingface/datasets/issues/7042 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7042/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7042/comments | https://api.github.com/repos/huggingface/datasets/issues/7042/events | https://github.com/huggingface/datasets/pull/7042 | 2,404,605,836 | PR_kwDODunzps51K8CM | 7,042 | Improved the tutorial by adding a link for loading datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/7041 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7041/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7041/comments | https://api.github.com/repos/huggingface/datasets/issues/7041/events | https://github.com/huggingface/datasets/issues/7041 | 2,404,576,038 | I_kwDODunzps6PUusm | 7,041 | `sort` after `filter` unreasonably slow | {
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as the tittle says ...
### Steps to reproduce the bug
`sort` seems to be normal.
```python
from datasets import Dataset
import random
nums = [{"k":random.choice(range(0,1000))} for _ in range(100000)]
ds = Dataset.from_list(nums)
print("start sort")
ds = ds.sort("k")
print("f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7040/comments | https://api.github.com/repos/huggingface/datasets/issues/7040/events | https://github.com/huggingface/datasets/issues/7040 | 2,402,918,335 | I_kwDODunzps6POZ-_ | 7,040 | load `streaming=True` dataset with downloaded cache | {
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We build a dataset which contains several hdf5 files and write a script using `h5py` to generate the dataset. The hdf5 files are large and the processed dataset cache takes more disk space. So we hope to try streaming iterable dataset. Unfortunately, `h5py` can't convert a remote URL into a hdf5 f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7039 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7039/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7039/comments | https://api.github.com/repos/huggingface/datasets/issues/7039/events | https://github.com/huggingface/datasets/pull/7039 | 2,402,403,390 | PR_kwDODunzps51DgCY | 7,039 | Fix export to JSON when dataset larger than batch size | {
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Fix #7037. | {
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https://api.github.com/repos/huggingface/datasets/issues/7038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7038/comments | https://api.github.com/repos/huggingface/datasets/issues/7038/events | https://github.com/huggingface/datasets/issues/7038 | 2,402,081,227 | I_kwDODunzps6PLNnL | 7,038 | Yes, can definitely elaborate: | {
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Say I want to use HF Trainer with an arbitrary PyTorch optimizer (`AdamW` here just as an example). Then I should intuitively extend `Trainer` like:
```python
class CustomOptimizerTrainer(Trainer):
@staticmethod
def get_optimizer_cls_and_kwargs(args: HfTrain... | {
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When using the Dataset.to_json() function, an unexpected error occurs if the parameter is set to lines=False. The stored data should be in the form of a list, but it actually turns into multiple lists, which causes an error when reading the data again.
The reason is that to_json() writes to the f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7036 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7036/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7036/comments | https://api.github.com/repos/huggingface/datasets/issues/7036/events | https://github.com/huggingface/datasets/pull/7036 | 2,400,035,672 | PR_kwDODunzps507bZk | 7,036 | Fix doc generation when NamedSplit is used as parameter default value | {
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Fix #7035. | {
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https://api.github.com/repos/huggingface/datasets/issues/7035 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7035/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7035/comments | https://api.github.com/repos/huggingface/datasets/issues/7035/events | https://github.com/huggingface/datasets/issues/7035 | 2,400,021,225 | I_kwDODunzps6PDWrp | 7,035 | Docs are not generated when a parameter defaults to a NamedSplit value | {
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```python
def call_function(split=Split.TRAIN):
...
```
The error is: ValueError: Equality not supported between split train and <class 'inspect._empty'>
See: https://github.com/huggingface/datasets/action... | {
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https://api.github.com/repos/huggingface/datasets/issues/7034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7034/comments | https://api.github.com/repos/huggingface/datasets/issues/7034/events | https://github.com/huggingface/datasets/pull/7034 | 2,397,525,974 | PR_kwDODunzps50y-ya | 7,034 | chore: fix typos in docs | {
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https://api.github.com/repos/huggingface/datasets/issues/7033 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7033/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7033/comments | https://api.github.com/repos/huggingface/datasets/issues/7033/events | https://github.com/huggingface/datasets/issues/7033 | 2,397,419,768 | I_kwDODunzps6O5bj4 | 7,033 | `from_generator` does not allow to specify the split name | {
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I'm building train, dev, and test using `from_generator`; however, in all three cases, the logger prints `Generating train split:`
It's not possible to change the split name since it seems to be hardcoded: https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/generator/g... | {
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https://api.github.com/repos/huggingface/datasets/issues/7032 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7032/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7032/comments | https://api.github.com/repos/huggingface/datasets/issues/7032/events | https://github.com/huggingface/datasets/pull/7032 | 2,395,531,699 | PR_kwDODunzps50sJTq | 7,032 | Register `.zstd` extension for zstd-compressed files | {
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https://api.github.com/repos/huggingface/datasets/issues/7031 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7031/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7031/comments | https://api.github.com/repos/huggingface/datasets/issues/7031/events | https://github.com/huggingface/datasets/issues/7031 | 2,395,401,692 | I_kwDODunzps6Oxu3c | 7,031 | CI quality is broken: use ruff check instead | {
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```
error: `ruff <path>` has been removed. Use `ruff check <path>` instead.
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/7030 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7030/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7030/comments | https://api.github.com/repos/huggingface/datasets/issues/7030/events | https://github.com/huggingface/datasets/issues/7030 | 2,393,411,631 | I_kwDODunzps6OqJAv | 7,030 | Add option to disable progress bar when reading a dataset ("Loading dataset from disk") | {
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Add an option in load_from_disk to disable the progress bar even if the number of files is larger than 16.
### Motivation
I am reading a lot of datasets that it creates lots of logs.
<img width="1432" alt="image" src="https://github.com/huggingface/datasets/assets/57996478/8d4bbf03-6b89-... | {
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https://api.github.com/repos/huggingface/datasets/issues/7029 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7029/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7029/comments | https://api.github.com/repos/huggingface/datasets/issues/7029/events | https://github.com/huggingface/datasets/issues/7029 | 2,391,366,696 | I_kwDODunzps6OiVwo | 7,029 | load_dataset on AWS lambda throws OSError(30, 'Read-only file system') error | {
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I'm using AWS lambda to run a python application. I run the `load_dataset` function with cache_dir="/tmp" and is still throws the OSError(30, 'Read-only file system') error. Is even updated all the HF envs to point to /tmp dir but the issue still persists. I can confirm that the I can write to /... | {
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https://api.github.com/repos/huggingface/datasets/issues/7028 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7028/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7028/comments | https://api.github.com/repos/huggingface/datasets/issues/7028/events | https://github.com/huggingface/datasets/pull/7028 | 2,391,077,531 | PR_kwDODunzps50dQ1w | 7,028 | Fix ci | {
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https://api.github.com/repos/huggingface/datasets/issues/7026 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7026/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7026/comments | https://api.github.com/repos/huggingface/datasets/issues/7026/events | https://github.com/huggingface/datasets/pull/7026 | 2,390,983,889 | PR_kwDODunzps50c8Mf | 7,026 | Fix check_library_imports | {
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Note that it only affects local datasets that already exist on disk, not datasets loaded from HF directly | {
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https://api.github.com/repos/huggingface/datasets/issues/7025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7025/comments | https://api.github.com/repos/huggingface/datasets/issues/7025/events | https://github.com/huggingface/datasets/pull/7025 | 2,390,488,546 | PR_kwDODunzps50bSyD | 7,025 | feat: support non streamable arrow file binary format | {
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https://api.github.com/repos/huggingface/datasets/issues/7024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7024/comments | https://api.github.com/repos/huggingface/datasets/issues/7024/events | https://github.com/huggingface/datasets/issues/7024 | 2,390,141,626 | I_kwDODunzps6Odqq6 | 7,024 | Streaming dataset not returning data | {
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I'm deciding to post here because I'm still not sure what the issue is, or if I am using IterableDatasets wrongly.
I'm following the guide on here https://huggingface.co/learn/cookbook/en/fine_tuning_code_llm_on_single_gpu pretty much to a tee and have verified that it works when I'm fine-tuning ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7023 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7023/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7023/comments | https://api.github.com/repos/huggingface/datasets/issues/7023/events | https://github.com/huggingface/datasets/pull/7023 | 2,388,090,424 | PR_kwDODunzps50TDot | 7,023 | Remove dead code for pyarrow < 15.0.0 | {
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Code is dead since the merge of:
- #6892
Fix #7022. | {
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https://api.github.com/repos/huggingface/datasets/issues/7022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7022/comments | https://api.github.com/repos/huggingface/datasets/issues/7022/events | https://github.com/huggingface/datasets/issues/7022 | 2,388,064,650 | I_kwDODunzps6OVvmK | 7,022 | There is dead code after we require pyarrow >= 15.0.0 | {
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However, we require pyarrow >= 15.0.0 since the merge of PR:
- #6892
Those code lines are now dead code and should be removed. | {
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https://api.github.com/repos/huggingface/datasets/issues/7021 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7021/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7021/comments | https://api.github.com/repos/huggingface/datasets/issues/7021/events | https://github.com/huggingface/datasets/pull/7021 | 2,387,948,935 | PR_kwDODunzps50SlKR | 7,021 | Fix casting list array to fixed size list | {
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This bug was introduced in [datasets-2.17.0](https://github.com/huggingface/datasets/releases/tag/2.17.0) by PR: https://github.com/huggingface/datasets/pull/6283/files#diff-1cb2b66aa9311d729cfd83013dad56cf5afcda35b39dfd0bfe9c3813a049eab0R1899
- #6283
Fix #7020. | {
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> AttributeError: 'pyarrow.lib.FixedSizeListType' object has no attribute 'length'
Steps to reproduce the bug:
```python
import pyarrow as pa
from datasets.table import array_cast
arr = pa.array([[0, 1]])
array_cast(arr, pa.lis... | {
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https://api.github.com/repos/huggingface/datasets/issues/7019 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7019/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7019/comments | https://api.github.com/repos/huggingface/datasets/issues/7019/events | https://github.com/huggingface/datasets/pull/7019 | 2,385,793,897 | PR_kwDODunzps50LMjW | 7,019 | Allow Polars round trip by supporting pyarrow large list | {
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Fix #6834, fix #6984.
Supersede and close #4800, close #6835, close #6986. | {
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https://api.github.com/repos/huggingface/datasets/issues/7018 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7018/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7018/comments | https://api.github.com/repos/huggingface/datasets/issues/7018/events | https://github.com/huggingface/datasets/issues/7018 | 2,383,700,286 | I_kwDODunzps6OFGE- | 7,018 | `load_dataset` fails to load dataset saved by `save_to_disk` | {
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This code fails to load the dataset it just saved:
```python
from datasets import load_dataset
from transformers import AutoTokenizer
MODEL = "google-bert/bert-base-cased"
tokenizer = AutoTokenizer.from_pretrained(MODEL)
dataset = load_dataset("yelp_review_full")
def tokenize_functi... | {
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] | open | false | null | [] | null | 1 | 2024-07-01T09:01:06 | 2024-07-02T13:54:48 | null | NONE | null | ### Feature request
`drop_duplicates` method for huggingface datasets (similiar in simplicity to the `pandas` one)
### Motivation
Ease of use
### Your contribution
I don't think i am good enough to help | {
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When creating a multi-split dataset using generators like
```python
datasets.DatasetDict({
"val": datasets.Dataset.from_generator(
generator=generator_val,
features=features
),
"test": datasets.Dataset.from_generator(
generator=generator_test,
features=features,
... | {
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Fix #7013.
Revert once the underlying issue is fixed. | {
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See: https://github.com/huggingface/datasets/actions/runs/9712659783
```
test (integration, windows-latest, deps-minimum)
The job running on runner GitHub Actions 60 has exceeded the maximum execution time o... | {
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- https://github.com/huggingface/transformers/pull/31007
was just released yesterday in transformers-4.42.0: https://github.com/huggingface/transformers/releases/tag/v4.42.0
Fix #7010. | {
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- #6876
Note that this can only be done once transformers releases the fix:
- https://github.com/huggingface/transformers/pull/31007 | {
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- #7007
Fix #7008. | {
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Also revert:
- #7007 | {
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Fix #7006.
Revert once root cause is fixed. | {
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See: https://github.com/huggingface/datasets/actions/runs/9707641618/job/26793170961?pr=6983
> src/datasets/features/features.py:844:12: E721 Use `is` and `is not` for type comparisons, or `isinstanc... | {
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https://api.github.com/repos/huggingface/datasets/issues/7005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7005/comments | https://api.github.com/repos/huggingface/datasets/issues/7005/events | https://github.com/huggingface/datasets/issues/7005 | 2,378,424,349 | I_kwDODunzps6Nw-Ad | 7,005 | EmptyDatasetError: The directory at /metadata.jsonl doesn't contain any data files | {
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while trying to load custom dataset from jsonl file, I get the error: "metadata.jsonl doesn't contain any data files"
### Steps to reproduce the bug
This is my [metadata_v2.jsonl](https://github.com/user-attachments/files/16016011/metadata_v2.json) file. I have this file in the folder with all ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7004 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7004/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7004/comments | https://api.github.com/repos/huggingface/datasets/issues/7004/events | https://github.com/huggingface/datasets/pull/7004 | 2,376,064,264 | PR_kwDODunzps5zrIYR | 7,004 | Fix WebDatasets KeyError for user-defined Features when a field is missing in an example | {
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Not sure if this needs any addition stuff before merging | {
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https://api.github.com/repos/huggingface/datasets/issues/7002 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7002/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7002/comments | https://api.github.com/repos/huggingface/datasets/issues/7002/events | https://github.com/huggingface/datasets/pull/7002 | 2,373,010,351 | PR_kwDODunzps5zhBld | 7,002 | Fix dump of bfloat16 torch tensor | {
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https://api.github.com/repos/huggingface/datasets/issues/7001 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7001/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7001/comments | https://api.github.com/repos/huggingface/datasets/issues/7001/events | https://github.com/huggingface/datasets/issues/7001 | 2,372,930,879 | I_kwDODunzps6NcA0_ | 7,001 | Datasetbuilder Local Download FileNotFoundError | {
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So I was trying to download a dataset and save it as parquet and I follow the [tutorial](https://huggingface.co/docs/datasets/filesystems#download-and-prepare-a-dataset-into-a-cloud-storage) of Huggingface. However, during the excution I face a FileNotFoundError.
I debug the code and it seems... | {
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https://api.github.com/repos/huggingface/datasets/issues/7000 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7000/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7000/comments | https://api.github.com/repos/huggingface/datasets/issues/7000/events | https://github.com/huggingface/datasets/issues/7000 | 2,372,887,585 | I_kwDODunzps6Nb2Qh | 7,000 | IterableDataset: Unsupported ScalarType BFloat16 | {
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`IterableDataset.from_generator` crashes when using BFloat16:
```
File "/usr/local/lib/python3.11/site-packages/datasets/utils/_dill.py", line 169, in _save_torchTensor
args = (obj.detach().cpu().numpy(),)
^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: Got unsupported ScalarType ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6999 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6999/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6999/comments | https://api.github.com/repos/huggingface/datasets/issues/6999/events | https://github.com/huggingface/datasets/pull/6999 | 2,372,124,589 | PR_kwDODunzps5zd-ak | 6,999 | Remove tasks | {
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Fix #6997. | {
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