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https://api.github.com/repos/huggingface/datasets/issues/6303
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1,943,466,532
I_kwDODunzps5z1vIk
6,303
Parquet uploads off-by-one naming scheme
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["You can find the reasoning behind this naming scheme [here](https://github.com/huggingface/transformers/pull/16343#discussion_r931182168).\r\n\r\nThis point has been raised several times, so I'd be okay with starting with `00001-` (also to be consistent with the `transformers` sharding), but I'm not sure @lhoestq agr...
2023-10-14 18:31:03+00:00
2023-10-14 18:31:03+00:00
null
NONE
null
### Describe the bug I noticed this numbering scheme not matching up in a different project and wanted to raise it as an issue for discussion, what is the actual proper way to have these stored? <img width="425" alt="image" src="https://github.com/huggingface/datasets/assets/1981179/3ffa2144-7c9a-446f-b521-a5e9db71...
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1,942,096,078
I_kwDODunzps5zwgjO
6,302
ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size`
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['`writer._num_bytes` is updated every `writer_batch_size`-th call to the `write` method (default `writer_batch_size` is 1000 (examples)). You should be able to see the update by passing a smaller `writer_batch_size` to the `load_dataset_builder`.\r\n\r\nWe could improve this by supporting the string `writer_batch_size...
2023-10-13 14:43:36+00:00
2023-10-13 14:43:36+00:00
null
NONE
null
### Describe the bug An example from [1], does not work when limiting shards with `max_shard_size`. Try the following example with low `max_shard_size`, such as: ```python builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB") ``` The reason f...
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https://api.github.com/repos/huggingface/datasets/issues/6301
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1,940,183,999
PR_kwDODunzps5cpPVh
6,301
Unpin `tensorflow` maximum version
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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_as_n...
2023-10-12 14:58:07+00:00
2023-10-12 15:58:20+00:00
2023-10-12 15:49:54+00:00
CONTRIBUTOR
null
Removes the temporary pin introduced in #6264
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https://api.github.com/repos/huggingface/datasets/issues/6300
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1,940,153,432
PR_kwDODunzps5cpIoG
6,300
Unpin `jax` maximum version
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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_as_n...
2023-10-12 14:42:40+00:00
2023-10-12 16:37:55+00:00
2023-10-12 16:28:57+00:00
CONTRIBUTOR
null
fix #6299 fix #6202
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1,939,649,238
I_kwDODunzps5znLLW
6,299
Support for newer versions of JAX
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2023-10-12 10:03:46+00:00
2023-10-12 16:28:59+00:00
2023-10-12 16:28:59+00:00
NONE
null
### Feature request Hi, I like your idea of adapting the datasets library to be usable with JAX. Thank you for that. However, in your [setup.py](https://github.com/huggingface/datasets/blob/main/setup.py), you enforce old versions of JAX <= 0.3... It is very cumbersome ! What is the rationale for such a lim...
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1,938,797,389
PR_kwDODunzps5ckg6j
6,298
Doc readme improvements
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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_as_n...
2023-10-11 21:51:12+00:00
2023-10-12 12:47:15+00:00
2023-10-12 12:38:19+00:00
CONTRIBUTOR
null
Changes in the doc READMe: * adds two new sections (to be aligned with `transformers` and `hfh`): "Previewing the documentation" and "Writing documentation examples" * replaces the mentions of `transformers` with `datasets` * fixes some dead links
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6,297
Fix ArrayXD cast
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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_as_n...
2023-10-11 21:14:59+00:00
2023-10-13 13:54:00+00:00
2023-10-13 13:45:30+00:00
CONTRIBUTOR
null
Fix #6291
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6,296
Move `exceptions.py` to `utils/exceptions.py`
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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_as_n...
2023-10-11 18:28:00+00:00
2023-10-12 13:54:29+00:00
null
CONTRIBUTOR
null
I didn't notice the path while reviewing the PR yesterday :(
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Fix parquet columns argument in streaming mode
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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_as_n...
2023-10-11 10:01:01+00:00
2023-10-11 16:30:24+00:00
2023-10-11 16:21:36+00:00
MEMBER
null
It was failing when there's a DatasetInfo with non-None info.features from the YAML (therefore containing columns that should be ignored) Fix https://github.com/huggingface/datasets/issues/6293
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6,294
IndexError: Invalid key is out of bounds for size 0 despite having a populated dataset
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['It looks to be the same issue as the one reported in https://discuss.huggingface.co/t/indexerror-invalid-key-16-is-out-of-bounds-for-size-0.\r\n\r\nCan you check the length of `train_dataset` before the `train_sampler = self._get_train_sampler()` (and after `_remove_unused_columns`) line?']
2023-10-11 09:59:38+00:00
2023-10-11 13:10:31+00:00
null
NONE
null
### Describe the bug I am encountering an `IndexError` when trying to access data from a DataLoader which wraps around a dataset I've loaded using the `datasets` library. The error suggests that the dataset size is `0`, but when I check the length and print the dataset, it's clear that it has `1166` entries. ### Step...
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6,293
Choose columns to stream parquet data in streaming mode
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2023-10-11 08:59:36+00:00
2023-10-11 16:21:38+00:00
2023-10-11 16:21:38+00:00
MEMBER
null
Currently passing columns= to load_dataset in streaming mode fails ``` Tried to load parquet data with columns '['link']' with mismatching features '{'caption': Value(dtype='string', id=None), 'image': {'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='null', id=None)}, 'link': Value(dtype='string', id=...
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1,937,050,470
I_kwDODunzps5zdQtm
6,292
how to load the image of dtype float32 or float64
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['Hi! Can you provide a code that reproduces the issue?\r\n\r\nAlso, which version of `datasets` are you using? You can check this by running `python -c "import datasets; print(datasets.__version__)"` inside the env. We added support for "float images" in `datasets 2.9`.']
2023-10-11 07:27:16+00:00
2023-10-11 13:19:11+00:00
null
NONE
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_FEATURES = datasets.Features( { "image": datasets.Image(), "text": datasets.Value("string"), }, ) The datasets builder seems only support the unit8 data. How to load the float dtype data?
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1,936,129,871
I_kwDODunzps5zZv9P
6,291
Casting type from Array2D int to Array2D float crashes
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["Thanks for reporting! I've opened a PR with a fix"]
2023-10-10 20:10:10+00:00
2023-10-13 13:45:31+00:00
2023-10-13 13:45:31+00:00
NONE
null
### Describe the bug I am on a school project and the initial type for feature annotations are `Array2D(shape=(None, 4))`. I am trying to cast this type to a `float64` and pyarrow gives me this error : ``` Traceback (most recent call last): File "/home/alan/dev/ClassezDesImagesAvecDesAlgorithmesDeDeeplearnin...
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1,935,629,679
I_kwDODunzps5zX11v
6,290
Incremental dataset (e.g. `.push_to_hub(..., append=True)`)
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['Yea I think waiting for #6269 would be best, or branching from it. For reference, this [PR](https://github.com/LAION-AI/Discord-Scrapers/pull/2) is progressing pretty well which will do similar using the hf hub for our LAION dataset bot https://github.com/LAION-AI/Discord-Scrapers/pull/2. ']
2023-10-10 15:18:03+00:00
2023-10-13 16:05:26+00:00
null
CONTRIBUTOR
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### Feature request Have the possibility to do `ds.push_to_hub(..., append=True)`. ### Motivation Requested in this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65252597c4edc168202a5eaa) and this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/4#6524f675...
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