id int64 599M 3.48B | number int64 1 7.8k | title stringlengths 1 290 | state stringclasses 2
values | comments listlengths 0 30 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-10-05 06:37:50 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-10-05 10:32:43 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-10-01 13:56:03 ⌀ | body stringlengths 0 228k ⌀ | user stringlengths 3 26 | html_url stringlengths 46 51 | pull_request dict | is_pull_request bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,805,087,687 | 6,035 | Dataset representation | open | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6035). All of your documentation changes will be reflected on that endpoint."
] | 2023-07-14T15:42:37 | 2023-07-19T19:41:35 | null | __repr__ and _repr_html_ now both are similar to that of Polars | Ganryuu | https://github.com/huggingface/datasets/pull/6035 | {
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1,804,501,361 | 6,034 | load_dataset hangs on WSL | closed | [
"Even if a dataset is cached, we still make requests to check whether the cache is up-to-date. [This](https://huggingface.co/docs/datasets/v2.13.1/en/loading#offline) section in the docs explains how to avoid them and directly load the cached version.",
"Thanks - that works! However it doesn't resolve the origina... | 2023-07-14T09:03:10 | 2023-07-14T14:48:29 | 2023-07-14T14:48:29 | ### Describe the bug
load_dataset simply hangs. It happens once every ~5 times, and interestingly hangs for a multiple of 5 minutes (hangs for 5/10/15 minutes). Using the profiler in PyCharm shows that it spends the time at <method 'connect' of '_socket.socket' objects>. However, a local cache is available so I am not... | Andy-Zhou2 | https://github.com/huggingface/datasets/issues/6034 | null | false |
1,804,482,051 | 6,033 | `map` function doesn't fully utilize `input_columns`. | closed | [] | 2023-07-14T08:49:28 | 2023-07-14T09:16:04 | 2023-07-14T09:16:04 | ### Describe the bug
I wanted to select only some columns of data.
And I thought that's why the argument `input_columns` exists.
What I expected is like this:
If there are ["a", "b", "c", "d"] columns, and if I set `input_columns=["a", "d"]`, the data will have only ["a", "d"] columns.
But it doesn't select co... | kwonmha | https://github.com/huggingface/datasets/issues/6033 | null | false |
1,804,358,679 | 6,032 | DownloadConfig.proxies not work when load_dataset_builder calling HfApi.dataset_info | open | [
"`HfApi` comes from the `huggingface_hub` package. You can use [this](https://huggingface.co/docs/huggingface_hub/v0.16.3/en/package_reference/utilities#huggingface_hub.configure_http_backend) utility to change the `huggingface_hub`'s `Session` proxies (see the example).\r\n\r\nWe plan to implement https://github.c... | 2023-07-14T07:22:55 | 2023-09-11T13:50:41 | null | ### Describe the bug
```python
download_config = DownloadConfig(proxies={'https': '<my proxy>'})
builder = load_dataset_builder(..., download_config=download_config)
```
But, when getting the dataset_info from HfApi, the http requests not using the proxies.
### Steps to reproduce the bug
1. Setup proxies i... | codingl2k1 | https://github.com/huggingface/datasets/issues/6032 | null | false |
1,804,183,858 | 6,031 | Argument type for map function changes when using `input_columns` for `IterableDataset` | closed | [
"Yes, this is intended."
] | 2023-07-14T05:11:14 | 2023-07-14T14:44:15 | 2023-07-14T14:44:15 | ### Describe the bug
I wrote `tokenize(examples)` function as an argument for `map` function for `IterableDataset`.
It process dictionary type `examples` as a parameter.
It is used in `train_dataset = train_dataset.map(tokenize, batched=True)`
No error is raised.
And then, I found some unnecessary keys and val... | kwonmha | https://github.com/huggingface/datasets/issues/6031 | null | false |
1,803,864,744 | 6,030 | fixed typo in comment | closed | [
"_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... | 2023-07-13T22:49:57 | 2023-07-14T14:21:58 | 2023-07-14T14:13:38 | This mistake was a bit confusing, so I thought it was worth sending a PR over. | NightMachinery | https://github.com/huggingface/datasets/pull/6030 | {
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"merged_at": "2023-07-14T14:13... | true |
1,803,460,046 | 6,029 | [docs] Fix link | closed | [
"_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... | 2023-07-13T17:24:12 | 2023-07-13T17:47:41 | 2023-07-13T17:38:59 | Fixes link to the builder classes :) | stevhliu | https://github.com/huggingface/datasets/pull/6029 | {
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"merged_at": "2023-07-13T17:38... | true |
1,803,294,981 | 6,028 | Use new hffs | closed | [
"_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... | 2023-07-13T15:41:44 | 2023-07-17T17:09:39 | 2023-07-17T17:01:00 | Thanks to @janineguo 's work in https://github.com/huggingface/datasets/pull/5919 which was needed to support HfFileSystem.
Switching to `HfFileSystem` will help implementing optimization in data files resolution
## Implementation details
I replaced all the from_hf_repo and from_local_or_remote in data_files.p... | lhoestq | https://github.com/huggingface/datasets/pull/6028 | {
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"merged_at": "2023-07-17T17:01... | true |
1,803,008,486 | 6,027 | Delete `task_templates` in `IterableDataset` when they are no longer valid | closed | [
"_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... | 2023-07-13T13:16:17 | 2023-07-13T14:06:20 | 2023-07-13T13:57:35 | Fix #6025 | mariosasko | https://github.com/huggingface/datasets/pull/6027 | {
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"merged_at": "2023-07-13T13:57... | true |
1,802,929,222 | 6,026 | Fix style with ruff 0.0.278 | closed | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6026). 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... | 2023-07-13T12:34:24 | 2023-07-13T12:46:26 | 2023-07-13T12:37:01 | null | lhoestq | https://github.com/huggingface/datasets/pull/6026 | {
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"merged_at": "2023-07-13T12:37... | true |
1,801,852,601 | 6,025 | Using a dataset for a use other than it was intended for. | closed | [
"I've opened a PR with a fix. In the meantime, you can avoid the error by deleting `task_templates` with `dataset.info.task_templates = None` before the `interleave_datasets` call.\r\n` "
] | 2023-07-12T22:33:17 | 2023-07-13T13:57:36 | 2023-07-13T13:57:36 | ### Describe the bug
Hi, I want to use the rotten tomatoes dataset but for a task other than classification, but when I interleave the dataset, it throws ```'ValueError: Column label is not present in features.'```. It seems that the label_col must be there in the dataset for some reason?
Here is the full stacktra... | surya-narayanan | https://github.com/huggingface/datasets/issues/6025 | null | false |
1,801,708,808 | 6,024 | Don't reference self in Spark._validate_cache_dir | closed | [
"Ptal @lhoestq :) I tested this manually on a multi-node Databricks cluster",
"Hm looks like the check_code_quality failures are unrelated to me change... https://github.com/huggingface/datasets/actions/runs/5536162850/jobs/10103451883?pr=6024",
"_The documentation is not available anymore as the PR was closed ... | 2023-07-12T20:31:16 | 2023-07-13T16:58:32 | 2023-07-13T12:37:09 | Fix for https://github.com/huggingface/datasets/issues/5963 | maddiedawson | https://github.com/huggingface/datasets/pull/6024 | {
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"merged_at": "2023-07-13T12:37... | true |
1,801,272,420 | 6,023 | Fix `ClassLabel` min max check for `None` values | closed | [
"_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... | 2023-07-12T15:46:12 | 2023-07-12T16:29:26 | 2023-07-12T16:18:04 | Fix #6022 | mariosasko | https://github.com/huggingface/datasets/pull/6023 | {
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"merged_at": "2023-07-12T16:18... | true |
1,800,092,589 | 6,022 | Batch map raises TypeError: '>=' not supported between instances of 'NoneType' and 'int' | closed | [
"Thanks for reporting! I've opened a PR with a fix."
] | 2023-07-12T03:20:17 | 2023-07-12T16:18:06 | 2023-07-12T16:18:05 | ### Describe the bug
When mapping some datasets with `batched=True`, datasets may raise an exeception:
```python
Traceback (most recent call last):
File "/Users/codingl2k1/Work/datasets/venv/lib/python3.11/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
... | codingl2k1 | https://github.com/huggingface/datasets/issues/6022 | null | false |
1,799,785,904 | 6,021 | [docs] Update return statement of index search | closed | [
"_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... | 2023-07-11T21:33:32 | 2023-07-12T17:13:02 | 2023-07-12T17:03:00 | Clarifies in the return statement of the docstring that the retrieval score is `IndexFlatL2` by default (see [PR](https://github.com/huggingface/transformers/issues/24739) and internal Slack [convo](https://huggingface.slack.com/archives/C01229B19EX/p1689105179711689)), and fixes the formatting because multiple return ... | stevhliu | https://github.com/huggingface/datasets/pull/6021 | {
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"merged_at": "2023-07-12T17:03... | true |
1,799,720,536 | 6,020 | Inconsistent "The features can't be aligned" error when combining map, multiprocessing, and variable length outputs | open | [
"This scenario currently requires explicitly passing the target features (to avoid the error): \r\n```python\r\nimport datasets\r\n\r\n...\r\n\r\nfeatures = dataset.features\r\nfeatures[\"output\"] = = [{\"test\": datasets.Value(\"int64\")}]\r\ntest2 = dataset.map(lambda row, idx: test_func(row, idx), with_indices=... | 2023-07-11T20:40:38 | 2024-10-27T06:30:13 | null | ### Describe the bug
I'm using a dataset with map and multiprocessing to run a function that returned a variable length list of outputs. This output list may be empty. Normally this is handled fine, but there is an edge case that crops up when using multiprocessing. In some cases, an empty list result ends up in a dat... | kheyer | https://github.com/huggingface/datasets/issues/6020 | null | false |
1,799,532,822 | 6,019 | Improve logging | closed | [
"_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... | 2023-07-11T18:30:23 | 2023-07-12T19:34:14 | 2023-07-12T17:19:28 | Adds the StreamHandler (as `hfh` and `transformers` do) to the library's logger to log INFO messages and logs the messages about "loading a cached result" (and some other warnings) as INFO
(Also removes the `leave=False` arg in the progress bars to be consistent with `hfh` and `transformers` - progress bars serve as... | mariosasko | https://github.com/huggingface/datasets/pull/6019 | {
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"merged_at": "2023-07-12T17:19... | true |
1,799,411,999 | 6,018 | test1 | closed | [
"We no longer host datasets in this repo. You should use the HF Hub instead."
] | 2023-07-11T17:25:49 | 2023-07-20T10:11:41 | 2023-07-20T10:11:41 | null | ognjenovicj | https://github.com/huggingface/datasets/pull/6018 | {
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1,799,309,132 | 6,017 | Switch to huggingface_hub's HfFileSystem | closed | [] | 2023-07-11T16:24:40 | 2023-07-17T17:01:01 | 2023-07-17T17:01:01 | instead of the current datasets.filesystems.hffilesystem.HfFileSystem which can be slow in some cases
related to https://github.com/huggingface/datasets/issues/5846 and https://github.com/huggingface/datasets/pull/5919 | lhoestq | https://github.com/huggingface/datasets/issues/6017 | null | false |
1,798,968,033 | 6,016 | Dataset string representation enhancement | open | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6016). All of your documentation changes will be reflected on that endpoint.",
"It we could have something similar to Polars, that would be great.\r\n\r\nThis is what Polars outputs: \r\n* `__repr__`/`__str__` :\r\n```\r\nshape... | 2023-07-11T13:38:25 | 2023-07-16T10:26:18 | null | my attempt at #6010
not sure if this is the right way to go about it, I will wait for your feedback | Ganryuu | https://github.com/huggingface/datasets/pull/6016 | {
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"merged_at": null
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1,798,807,893 | 6,015 | Add metadata ui screenshot in docs | closed | [
"_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... | 2023-07-11T12:16:29 | 2023-07-11T16:07:28 | 2023-07-11T15:56:46 | null | lhoestq | https://github.com/huggingface/datasets/pull/6015 | {
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"merged_at": "2023-07-11T15:56... | true |
1,798,213,816 | 6,014 | Request to Share/Update Dataset Viewer Code | closed | [
"Hi ! The huggingface/dataset-viewer code was not maintained anymore because we switched to a new dataset viewer that is deployed available for each dataset the Hugging Face website.\r\n\r\nWhat are you using this old repository for ?",
"I think these parts are outdated:\r\n\r\n* https://github.com/huggingface/da... | 2023-07-11T06:36:09 | 2024-07-20T07:29:08 | 2023-09-25T12:01:17 |
Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of documentation of that attribute.
Request:
I k... | lilyorlilypad | https://github.com/huggingface/datasets/issues/6014 | null | false |
1,796,083,437 | 6,013 | [FR] `map` should reuse unchanged columns from the previous dataset to avoid disk usage | open | [
"You can use the `remove_columns` parameter in `map` to avoid duplicating the columns (and save disk space) and then concatenate the original dataset with the map result:\r\n```python\r\nfrom datasets import concatenate_datasets\r\n# dummy example\r\nds_new = ds.map(lambda x: {\"new_col\": x[\"col\"] + 2}, remove_c... | 2023-07-10T06:42:20 | 2025-06-19T06:30:38 | null | ### Feature request
Currently adding a new column with `map` will cause all the data in the dataset to be duplicated and stored/cached on the disk again. It should reuse unchanged columns.
### Motivation
This allows having datasets with different columns but sharing some basic columns. Currently, these datasets wou... | NightMachinery | https://github.com/huggingface/datasets/issues/6013 | null | false |
1,795,575,432 | 6,012 | [FR] Transform Chaining, Lazy Mapping | open | [
"You can use `with_transform` to get a new dataset object.\r\n\r\nSupport for lazy `map` has already been discussed [here](https://github.com/huggingface/datasets/issues/3385) a little bit. Personally, I'm not a fan, as this would make `map` even more complex. ",
"> You can use `with_transform` to get a new datas... | 2023-07-09T21:40:21 | 2025-01-20T14:06:28 | null | ### Feature request
Currently using a `map` call processes and duplicates the whole dataset, which takes both time and disk space.
The solution is to allow lazy mapping, which is essentially a saved chain of transforms that are applied on the fly whenever a slice of the dataset is requested.
The API should look ... | NightMachinery | https://github.com/huggingface/datasets/issues/6012 | null | false |
1,795,296,568 | 6,011 | Documentation: wiki_dpr Dataset has no metric_type for Faiss Index | closed | [
"Hi! You can do `ds.get_index(\"embeddings\").faiss_index.metric_type` to get the metric type and then match the result with the FAISS metric [enum](https://github.com/facebookresearch/faiss/blob/43d86e30736ede853c384b24667fc3ab897d6ba9/faiss/MetricType.h#L22-L36) (should be L2).",
"Ah! Thank you for pointing thi... | 2023-07-09T08:30:19 | 2023-07-11T03:02:36 | 2023-07-11T03:02:36 | ### Describe the bug
After loading `wiki_dpr` using:
```py
ds = load_dataset(path='wiki_dpr', name='psgs_w100.multiset.compressed', split='train')
print(ds.get_index("embeddings").metric_type) # prints nothing because the value is None
```
the index does not have a defined `metric_type`. This is an issue because ... | YichiRockyZhang | https://github.com/huggingface/datasets/issues/6011 | null | false |
1,793,838,152 | 6,010 | Improve `Dataset`'s string representation | open | [
"I want to take a shot at this if possible ",
"Yes, feel free to work on this.\r\n\r\nYou can check the PyArrow Table `__repr__` and Polars DataFrame `__repr__`/`_repr_html_` implementations for some pointers/ideas.",
"@mariosasko are there any other similar issues that I could work on? I see this has been alr... | 2023-07-07T16:38:03 | 2023-09-01T03:45:07 | null | Currently, `Dataset.__repr__` outputs a dataset's column names and the number of rows. We could improve it by printing its features and the first few rows.
We should also implement `_repr_html_` to have a rich HTML representation in notebooks/Streamlit. | mariosasko | https://github.com/huggingface/datasets/issues/6010 | null | false |
1,792,059,808 | 6,009 | Fix cast for dictionaries with no keys | closed | [
"_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... | 2023-07-06T18:48:14 | 2023-07-07T14:13:00 | 2023-07-07T14:01:13 | Fix #5677 | mariosasko | https://github.com/huggingface/datasets/pull/6009 | {
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1,789,869,344 | 6,008 | Dataset.from_generator consistently freezes at ~1000 rows | closed | [
"By default, we write data to disk (so it can be memory-mapped) every 1000 rows/samples. You can control this with the `writer_batch_size` parameter. Also, when working with fixed-size arrays, the `ArrayXD` feature types yield better performance (e.g., in your case, `features=datasets.Features({\"i\": datasets.Arra... | 2023-07-05T16:06:48 | 2023-07-10T13:46:39 | 2023-07-10T13:46:39 | ### Describe the bug
Whenever I try to create a dataset which contains images using `Dataset.from_generator`, it freezes around 996 rows. I suppose it has something to do with memory consumption, but there's more memory available. I
Somehow it worked a few times but mostly this makes the datasets library much more ... | andreemic | https://github.com/huggingface/datasets/issues/6008 | null | false |
1,789,782,693 | 6,007 | Get an error "OverflowError: Python int too large to convert to C long" when loading a large dataset | open | [
"This error means that one of the int32 (`Value(\"int32\")`) columns in the dataset has a value that is out of the valid (int32) range.\r\n\r\nI'll open a PR to print the name of a problematic column to make debugging such errors easier.",
"I am afraid int32 is not the reason for this error.\r\n\r\nI have submitt... | 2023-07-05T15:16:50 | 2024-02-07T22:22:35 | null | ### Describe the bug
When load a large dataset with the following code
```python
from datasets import load_dataset
dataset = load_dataset("liwu/MNBVC", 'news_peoples_daily', split='train')
```
We encountered the error: "OverflowError: Python int too large to convert to C long"
The error look something like... | silverriver | https://github.com/huggingface/datasets/issues/6007 | null | false |
1,788,855,582 | 6,006 | NotADirectoryError when loading gigawords | closed | [
"issue due to corrupted download files. resolved after cleaning download cache. sorry for any inconvinence."
] | 2023-07-05T06:23:41 | 2023-07-05T06:31:02 | 2023-07-05T06:31:01 | ### Describe the bug
got `NotADirectoryError` whtn loading gigawords dataset
### Steps to reproduce the bug
When running
```
import datasets
datasets.load_dataset('gigaword')
```
Got the following exception:
```bash
Traceback (most recent call last): ... | xipq | https://github.com/huggingface/datasets/issues/6006 | null | false |
1,788,103,576 | 6,005 | Drop Python 3.7 support | closed | [
"<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... | 2023-07-04T15:02:37 | 2023-07-06T15:32:41 | 2023-07-06T15:22:43 | `hfh` and `transformers` have dropped Python 3.7 support, so we should do the same :).
(Based on the stats, it seems less than 10% of the users use `datasets` with Python 3.7) | mariosasko | https://github.com/huggingface/datasets/pull/6005 | {
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1,786,636,368 | 6,004 | Misc improvements | closed | [
"<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... | 2023-07-03T18:29:14 | 2023-07-06T17:04:11 | 2023-07-06T16:55:25 | Contains the following improvements:
* fixes a "share dataset" link in README and modifies the "hosting" part in the disclaimer section
* updates `Makefile` to also run the style checks on `utils` and `setup.py`
* deletes a test for GH-hosted datasets (no longer supported)
* deletes `convert_dataset.sh` (outdated... | mariosasko | https://github.com/huggingface/datasets/pull/6004 | {
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"merged_at": "2023-07-06T16:55... | true |
1,786,554,110 | 6,003 | interleave_datasets & DataCollatorForLanguageModeling having a conflict ? | open | [] | 2023-07-03T17:15:31 | 2023-07-03T17:15:31 | null | ### Describe the bug
Hi everyone :)
I have two local & custom datasets (1 "sentence" per line) which I split along the 95/5 lines for pre-training a Bert model. I use a modified version of `run_mlm.py` in order to be able to make use of `interleave_dataset`:
- `tokenize()` runs fine
- `group_text()` runs fine
... | PonteIneptique | https://github.com/huggingface/datasets/issues/6003 | null | false |
1,786,053,060 | 6,002 | Add KLUE-MRC metrics | closed | [
"The metrics API in `datasets` is deprecated as of version 2.0, and `evaulate` is our new library for metrics. You can add a new metric to it by following [these steps](https://huggingface.co/docs/evaluate/creating_and_sharing)."
] | 2023-07-03T12:11:10 | 2023-07-09T11:57:20 | 2023-07-09T11:57:20 | ## Metrics for KLUE-MRC (Korean Language Understanding Evaluation — Machine Reading Comprehension)
Adding metrics for [KLUE-MRC](https://huggingface.co/datasets/klue).
KLUE-MRC is very similar to SQuAD 2.0 but has a slightly different format which is why I added metrics for KLUE-MRC.
Specifically, in the case of... | ingyuseong | https://github.com/huggingface/datasets/pull/6002 | {
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1,782,516,627 | 6,001 | Align `column_names` type check with type hint in `sort` | closed | [
"_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... | 2023-06-30T13:15:50 | 2023-06-30T14:18:32 | 2023-06-30T14:11:24 | Fix #5998 | mariosasko | https://github.com/huggingface/datasets/pull/6001 | {
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"merged_at": "2023-06-30T14:11... | true |
1,782,456,878 | 6,000 | Pin `joblib` to avoid `joblibspark` test failures | closed | [
"<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... | 2023-06-30T12:36:54 | 2023-06-30T13:17:05 | 2023-06-30T13:08:27 | `joblibspark` doesn't support the latest `joblib` release.
See https://github.com/huggingface/datasets/actions/runs/5401870932/jobs/9812337078 for the errors | mariosasko | https://github.com/huggingface/datasets/pull/6000 | {
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"merged_at": "2023-06-30T13:08... | true |
1,781,851,513 | 5,999 | Getting a 409 error while loading xglue dataset | closed | [
"Thanks for reporting, @Praful932.\r\n\r\nLet's continue the conversation on the Hub: https://huggingface.co/datasets/xglue/discussions/5"
] | 2023-06-30T04:13:54 | 2023-06-30T05:57:23 | 2023-06-30T05:57:22 | ### Describe the bug
Unable to load xglue dataset
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.load_dataset("xglue", "ntg")
```
> ConnectionError: Couldn't reach https://xglue.blob.core.windows.net/xglue/xglue_full_dataset.tar.gz (error 409)
### Expected behavior
Expected the... | Praful932 | https://github.com/huggingface/datasets/issues/5999 | null | false |
1,781,805,018 | 5,998 | The current implementation has a potential bug in the sort method | closed | [
"Thanks for reporting, @wangyuxinwhy. "
] | 2023-06-30T03:16:57 | 2023-06-30T14:21:03 | 2023-06-30T14:11:25 | ### Describe the bug
In the sort method，here's a piece of code
```python
# column_names: Union[str, Sequence_[str]]
# Check proper format of and for duplicates in column_names
if not isinstance(column_names, list):
column_names = [column_names]
```
I get an error when I pass in a tuple based on the ... | wangyuxinwhy | https://github.com/huggingface/datasets/issues/5998 | null | false |
1,781,582,818 | 5,997 | extend the map function so it can wrap around long text that does not fit in the context window | open | [
"I just noticed the [docs](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2881C11-L2881C200) say:\r\n\r\n>If batched is `True` and `batch_size` is `n > 1`, then the function takes a batch of `n` examples as input and can return a batch with `n` examples, or with an arbitrary number... | 2023-06-29T22:15:21 | 2023-07-03T17:58:52 | null | ### Feature request
I understand `dataset` provides a [`map`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2849) function. This function in turn takes in a callable that is used to tokenize the text on which a model is trained. Frequently this text will not fit within a models's con... | siddhsql | https://github.com/huggingface/datasets/issues/5997 | null | false |
1,779,294,374 | 5,996 | Deprecate `use_auth_token` in favor of `token` | closed | [
"_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... | 2023-06-28T16:26:38 | 2023-07-05T15:22:20 | 2023-07-03T16:03:33 | ... to be consistent with `transformers` and `huggingface_hub`. | mariosasko | https://github.com/huggingface/datasets/pull/5996 | {
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"merged_at": "2023-07-03T16:03... | true |
1,777,088,925 | 5,995 | Support returning dataframe in map transform | closed | [
"_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... | 2023-06-27T14:15:08 | 2023-06-28T13:56:02 | 2023-06-28T13:46:33 | Allow returning Pandas DataFrames in `map` transforms.
(Plus, raise an error in the non-batched mode if a returned PyArrow table/Pandas DataFrame has more than one row)
| mariosasko | https://github.com/huggingface/datasets/pull/5995 | {
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1,776,829,004 | 5,994 | Fix select_columns columns order | closed | [
"<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... | 2023-06-27T12:32:46 | 2023-06-27T15:40:47 | 2023-06-27T15:32:43 | Fix the order of the columns in dataset.features when the order changes with `dataset.select_columns()`.
I also fixed the same issue for `dataset.flatten()`
Close https://github.com/huggingface/datasets/issues/5993 | lhoestq | https://github.com/huggingface/datasets/pull/5994 | {
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"merged_at": "2023-06-27T15:32... | true |
1,776,643,555 | 5,993 | ValueError: Table schema does not match schema used to create file | closed | [
"We'll do a new release of `datasets` soon to make the fix available :)\r\n\r\nIn the meantime you can use `datasets` from source (main)",
"Thank you very much @lhoestq ! 🚀 "
] | 2023-06-27T10:54:07 | 2023-06-27T15:36:42 | 2023-06-27T15:32:44 | ### Describe the bug
Saving a dataset as parquet fails with a `ValueError: Table schema does not match schema used to create file` if the dataset was obtained out of a `.select_columns()` call with columns selected out of order.
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.Dataset... | exs-avianello | https://github.com/huggingface/datasets/issues/5993 | null | false |
1,776,460,964 | 5,992 | speedup | closed | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5992). All of your documentation changes will be reflected on that endpoint."
] | 2023-06-27T09:17:58 | 2023-06-27T09:23:07 | 2023-06-27T09:18:04 | null | qgallouedec | https://github.com/huggingface/datasets/pull/5992 | {
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1,774,456,518 | 5,991 | `map` with any joblib backend | open | [
"#self-assign\n\nHi @lhoestq 👋🏼\n\nI’d like to work on this!\n\nPlanning to support progress tracking with `map()` using any joblib backend (like \"loky\") by replacing the Queue-based approach in `iflatmap_unordered` with a file-based progress tracking mechanism (e.g. shared temp file with periodic updates).\n\n... | 2023-06-26T10:33:42 | 2025-09-04T10:43:06 | null | We recently enabled the (experimental) parallel backend switch for data download and extraction but not for `map` yet.
Right now we're using our `iflatmap_unordered` implementation for multiprocessing that uses a shared Queue to gather progress updates from the subprocesses and show a progress bar in the main proces... | lhoestq | https://github.com/huggingface/datasets/issues/5991 | null | false |
1,774,134,091 | 5,989 | Set a rule on the config and split names | open | [
"in this case we need to decide what to do with the existing datasets with white space characters (there shouldn't be a lot of them I think)",
"I imagine that we should stop supporting them, and help the user fix them?",
"See a report where the datasets server fails: https://huggingface.co/datasets/poloclub/dif... | 2023-06-26T07:34:14 | 2023-07-19T14:22:54 | null | > should we actually allow characters like spaces? maybe it's better to add validation for whitespace symbols and directly in datasets and raise
https://github.com/huggingface/datasets-server/issues/853
| severo | https://github.com/huggingface/datasets/issues/5989 | null | false |
1,773,257,828 | 5,988 | ConnectionError: Couldn't reach dataset_infos.json | closed | [
"Unfortunately, I can't reproduce the error. What does the following code return for you?\r\n```python\r\nimport requests\r\nfrom huggingface_hub import hf_hub_url\r\nr = requests.get(hf_hub_url(\"codeparrot/codeparrot-clean-train\", \"dataset_infos.json\", repo_type=\"dataset\"))\r\n```\r\n\r\nAlso, can you provid... | 2023-06-25T12:39:31 | 2023-07-07T13:20:57 | 2023-07-07T13:20:57 | ### Describe the bug
I'm trying to load codeparrot/codeparrot-clean-train, but get the following error:
ConnectionError: Couldn't reach https://huggingface.co/datasets/codeparrot/codeparrot-clean-train/resolve/main/dataset_infos.json (ConnectionError(ProtocolError('Connection aborted.', ConnectionResetError(104, 'C... | yulingao | https://github.com/huggingface/datasets/issues/5988 | null | false |
1,773,047,909 | 5,987 | Why max_shard_size is not supported in load_dataset and passed to download_and_prepare | closed | [
"Can you explain your use case for `max_shard_size`? \r\n\r\nOn some systems, there is a limit to the size of a memory-mapped file, so we could consider exposing this parameter in `load_dataset`.",
"In my use case, users may choose a proper size to balance the cost and benefit of using large shard size. (On azure... | 2023-06-25T04:19:13 | 2023-06-29T16:06:08 | 2023-06-29T16:06:08 | ### Describe the bug
https://github.com/huggingface/datasets/blob/a8a797cc92e860c8d0df71e0aa826f4d2690713e/src/datasets/load.py#L1809
What I can to is break the `load_dataset` and use `load_datset_builder` + `download_and_prepare` instead.
### Steps to reproduce the bug
https://github.com/huggingface/datasets/blo... | npuichigo | https://github.com/huggingface/datasets/issues/5987 | null | false |
1,772,233,111 | 5,986 | Make IterableDataset.from_spark more efficient | closed | [
"@lhoestq would you be able to review this please and also approve the workflow?",
"Sounds good to me :) feel free to run `make style` to apply code formatting",
"_The documentation is not available anymore as the PR was closed or merged._",
"cool ! I think we can merge once all comments have been addressed",... | 2023-06-23T22:18:20 | 2023-07-07T10:05:58 | 2023-07-07T09:56:09 | Moved the code from using collect() to using toLocalIterator, which allows for prefetching partitions that will be selected next, thus allowing for better performance when iterating. | mathewjacob1002 | https://github.com/huggingface/datasets/pull/5986 | {
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"merged_at": "2023-07-07T09:56... | true |
1,771,588,158 | 5,985 | Cannot reuse tokenizer object for dataset map | closed | [
"This is a known issue: https://github.com/huggingface/datasets/issues/3847.\r\n\r\nFixing this requires significant work - rewriting the `tokenizers` lib to make them immutable.\r\n\r\nThe current solution is to pass `cache_file_name` to `map` to use that file for caching or calling a tokenizer before `map` (with ... | 2023-06-23T14:45:31 | 2023-07-21T14:09:14 | 2023-07-21T14:09:14 | ### Describe the bug
Related to https://github.com/huggingface/transformers/issues/24441. Not sure if this is a tokenizer issue or caching issue, so filing in both.
Passing the tokenizer to the dataset map function causes the tokenizer to be fingerprinted weirdly. After calling the tokenizer with arguments like pad... | vikigenius | https://github.com/huggingface/datasets/issues/5985 | null | false |
1,771,571,458 | 5,984 | AutoSharding IterableDataset's when num_workers > 1 | open | [
"For this to be possible, we would have to switch from the \"Streaming\" Arrow format to the \"Random Access\" (IPC/Feather) format, which allows reading arbitrary record batches (explained [here](https://arrow.apache.org/docs/python/ipc.html)). We could then use these batches to construct shards.\r\n\r\n@lhoestq @... | 2023-06-23T14:34:20 | 2024-03-22T15:01:14 | null | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | mathephysicist | https://github.com/huggingface/datasets/issues/5984 | null | false |
1,770,578,804 | 5,983 | replaced PathLike as a variable for save_to_disk for dataset_path wit… | closed | [] | 2023-06-23T00:57:05 | 2023-09-11T04:17:17 | 2023-09-11T04:17:17 | …h str like that of load_from_disk | benjaminbrown038 | https://github.com/huggingface/datasets/pull/5983 | {
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1,770,333,296 | 5,982 | 404 on Datasets Documentation Page | closed | [
"This wasn’t working for me a bit earlier, but it looks to be back up now",
"We had a minor issue updating the docs after the latest release. It should work now :)."
] | 2023-06-22T20:14:57 | 2023-06-26T15:45:03 | 2023-06-26T15:45:03 | ### Describe the bug
Getting a 404 from the Hugging Face Datasets docs page:
https://huggingface.co/docs/datasets/index
### Steps to reproduce the bug
1. Go to URL https://huggingface.co/docs/datasets/index
2. Notice 404 not found
### Expected behavior
URL should either show docs or redirect to new location
#... | kmulka-bloomberg | https://github.com/huggingface/datasets/issues/5982 | null | false |
1,770,310,087 | 5,981 | Only two cores are getting used in sagemaker with pytorch 3.10 kernel | closed | [
"I think it's more likely that this issue is related to PyTorch than Datasets, as PyTorch (on import) registers functions to execute when forking a process. Maybe this is the culprit: https://github.com/pytorch/pytorch/issues/99625",
"From reading that ticket, it may be down in mkl? Is it worth hotfixing in the ... | 2023-06-22T19:57:31 | 2023-10-30T06:17:40 | 2023-07-24T11:54:52 | ### Describe the bug
When using the newer pytorch 3.10 kernel, only 2 cores are being used by huggingface filter and map functions. The Pytorch 3.9 kernel would use as many cores as specified in the num_proc field.
We have solved this in our own code by placing the following snippet in the code that is called insi... | mmr-crexi | https://github.com/huggingface/datasets/issues/5981 | null | false |
1,770,255,973 | 5,980 | Viewing dataset card returns “502 Bad Gateway” | closed | [
"Can you try again? Maybe there was a minor outage.",
"Yes, it seems to be working now. In case it's helpful, the outage lasted several days. It was failing as late as yesterday morning. ",
"we fixed something on the server side, glad it's fixed now"
] | 2023-06-22T19:14:48 | 2023-06-27T08:38:19 | 2023-06-26T14:42:45 | The url is: https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams
I am able to successfully view the “Files and versions” tab: [Confirm-Labs/pile_ngrams_trigrams at main](https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams/tree/main)
Any help would be appreciated! Thanks! I hope this is ... | tbenthompson | https://github.com/huggingface/datasets/issues/5980 | null | false |
1,770,198,250 | 5,979 | set dev version | closed | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5979). 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... | 2023-06-22T18:32:14 | 2023-06-22T18:42:22 | 2023-06-22T18:32:22 | null | lhoestq | https://github.com/huggingface/datasets/pull/5979 | {
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"merged_at": "2023-06-22T18:32... | true |
1,770,187,053 | 5,978 | Release: 2.13.1 | closed | [
"_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... | 2023-06-22T18:23:11 | 2023-06-22T18:40:24 | 2023-06-22T18:30:16 | null | lhoestq | https://github.com/huggingface/datasets/pull/5978 | {
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"merged_at": "2023-06-22T18:30... | true |
1,768,503,913 | 5,976 | Avoid stuck map operation when subprocesses crashes | closed | [
"Hi ! Do you think this can be fixed at the Pool level ? Ideally it should be the Pool responsibility to handle this, not the `map` code. We could even subclass Pool if needed (at least the one from `multiprocess`)",
"@lhoestq it makes sense to me. Just pushed a refactoring creating a `class ProcessPool(multiproc... | 2023-06-21T21:18:31 | 2023-07-10T09:58:39 | 2023-07-10T09:50:07 | I've been using Dataset.map() with `num_proc=os.cpu_count()` to leverage multicore processing for my datasets, but from time to time I get stuck processes waiting forever. Apparently, when one of the subprocesses is abruptly killed (OOM killer, segfault, SIGKILL, etc), the main process keeps waiting for the async task ... | pappacena | https://github.com/huggingface/datasets/pull/5976 | {
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"merged_at": "2023-07-10T09:50... | true |
1,768,271,343 | 5,975 | Streaming Dataset behind Proxy - FileNotFoundError | closed | [
"Duplicate of #",
"Hi ! can you try to set the upper case environment variables `HTTP_PROXY` and `HTTPS_PROXY` ?\r\n\r\nWe use `aiohttp` for streaming and it uses case sensitive environment variables",
"Hi, thanks for the quick reply.\r\n\r\nI set the uppercase env variables with\r\n\r\n`\r\nos.environ['HTTP_PR... | 2023-06-21T19:10:02 | 2023-06-30T05:55:39 | 2023-06-30T05:55:38 | ### Describe the bug
When trying to stream a dataset i get the following error after a few minutes of waiting.
```
FileNotFoundError: https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/data/n_files.json
If the repo is private or gated, make sure to log in with `huggingface-cli login`.
```
I hav... | Veluchs | https://github.com/huggingface/datasets/issues/5975 | null | false |
1,767,981,231 | 5,974 | Deprecate `errors` param in favor of `encoding_errors` in text builder | closed | [
"_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... | 2023-06-21T16:31:38 | 2023-06-26T10:34:43 | 2023-06-26T10:27:40 | For consistency with the JSON builder and Pandas | mariosasko | https://github.com/huggingface/datasets/pull/5974 | {
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"merged_at": "2023-06-26T10:27... | true |
1,767,897,485 | 5,972 | Filter unsupported extensions | closed | [
"<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... | 2023-06-21T15:43:01 | 2023-06-22T14:23:29 | 2023-06-22T14:16:26 | I used a regex to filter the data files based on their extension for packaged builders.
I tried and a regex is 10x faster that using `in` to check if the extension is in the list of supported extensions.
Supersedes https://github.com/huggingface/datasets/pull/5850
Close https://github.com/huggingface/datasets/... | lhoestq | https://github.com/huggingface/datasets/pull/5972 | {
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"merged_at": "2023-06-22T14:16... | true |
1,767,053,635 | 5,971 | Docs: make "repository structure" easier to find | open | [
"Loading a local dataset also works the same way when `data_files` are not specified, so I agree we should make this info easier to discover \r\n\r\ncc @stevhliu ",
"Is this issue open? If so, I will self assign. ",
"@benjaminbrown038 Yes, it is. Maybe @stevhliu can give some pointers on improving this doc pag... | 2023-06-21T08:26:44 | 2023-07-05T06:51:38 | null | The page https://huggingface.co/docs/datasets/repository_structure explains how to create a simple repository structure without a dataset script.
It's the simplest way to create a dataset and should be easier to find, particularly on the docs' first pages. | severo | https://github.com/huggingface/datasets/issues/5971 | null | false |
1,766,010,356 | 5,970 | description disappearing from Info when Uploading a Dataset Created with `from_dict` | open | [
"Here's a minimal way to reproduce the bug, for the sake of convenience.\r\n````\r\nfrom datasets import Dataset, DatasetInfo, load_dataset\r\n\r\n\r\nepisodes_dict = {\"test\":[1,2,3],\"test2\": [1,2,4]}\r\n\r\nhugging_face_dataset = Dataset.from_dict(\r\n episodes_dict, info=DatasetInfo(description=\"test_str\... | 2023-06-20T19:18:26 | 2023-06-22T14:23:56 | null | ### Describe the bug
When uploading a dataset created locally using `from_dict` with a specified `description` field. It appears before upload, but is missing after upload and re-download.
### Steps to reproduce the bug
I think the most relevant pattern in the code might be the following lines:
```
descr... | balisujohn | https://github.com/huggingface/datasets/issues/5970 | null | false |
1,765,529,905 | 5,969 | Add `encoding` and `errors` params to JSON loader | closed | [
"_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... | 2023-06-20T14:28:35 | 2023-06-21T13:39:50 | 2023-06-21T13:32:22 | "Requested" in https://discuss.huggingface.co/t/utf-16-for-datasets/43828/3.
`pd.read_json` also has these parameters, so it makes sense to be consistent. | mariosasko | https://github.com/huggingface/datasets/pull/5969 | {
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"merged_at": "2023-06-21T13:32... | true |
1,765,252,561 | 5,968 | Common Voice datasets still need `use_auth_token=True` | closed | [
"cc @pcuenca as well. \r\n\r\nNot super urgent btw",
"The issue commes from the dataset itself and is not related to the `datasets` lib\r\n\r\nsee https://huggingface.co/datasets/mozilla-foundation/common_voice_6_1/blob/2c475b3b88e0f2e5828f830a4b91618a25ff20b7/common_voice_6_1.py#L148-L152",
"Let's remove these... | 2023-06-20T11:58:37 | 2023-07-29T16:08:59 | 2023-07-29T16:08:58 | ### Describe the bug
We don't need to pass `use_auth_token=True` anymore to download gated datasets or models, so the following should work if correctly logged in.
```py
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_6_1", "tr", split="train+validation")
```
However it throw... | patrickvonplaten | https://github.com/huggingface/datasets/issues/5968 | null | false |
1,763,926,520 | 5,967 | Config name / split name lost after map with multiproc | open | [
"This must be due to DatasetInfo.from_merge which drops them and is used in `concatenate_datasets`.\r\n\r\nAnd you're experiencing this issue because multiprocessing does concatenate the resulting datasets from each process.\r\n\r\nMaybe they should be kept if all the subdatasets share the same values for config_na... | 2023-06-19T17:27:36 | 2023-06-28T08:55:25 | null | ### Describe the bug
Performing a `.map` method on a dataset loses it's config name / split name only if run with multiproc
### Steps to reproduce the bug
```python
from datasets import Audio, load_dataset
from transformers import AutoFeatureExtractor
import numpy as np
# load dummy dataset
libri = load_datas... | sanchit-gandhi | https://github.com/huggingface/datasets/issues/5967 | null | false |
1,763,885,914 | 5,966 | Fix JSON generation in benchmarks CI | closed | [
"<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... | 2023-06-19T16:56:06 | 2023-06-19T17:29:11 | 2023-06-19T17:22:10 | Related to changes made in https://github.com/iterative/dvc/pull/9475 | mariosasko | https://github.com/huggingface/datasets/pull/5966 | {
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"merged_at": "2023-06-19T17:22... | true |
1,763,648,540 | 5,965 | "Couldn't cast array of type" in complex datasets | closed | [
"Thanks for reporting! \r\n\r\nSpecifying the target features explicitly should avoid this error:\r\n```python\r\ndataset = dataset.map(\r\n batch_process,\r\n batched=True,\r\n batch_size=1,\r\n num_proc=1,\r\n remove_columns=dataset.column_names,\r\n features=datasets.Features({\"texts\": datase... | 2023-06-19T14:16:14 | 2023-07-26T15:13:53 | 2023-07-26T15:13:53 | ### Describe the bug
When doing a map of a dataset with complex types, sometimes `datasets` is unable to interpret the valid schema of a returned datasets.map() function. This often comes from conflicting types, like when both empty lists and filled lists are competing for the same field value.
This is prone to hap... | piercefreeman | https://github.com/huggingface/datasets/issues/5965 | null | false |
1,763,513,574 | 5,964 | Always return list in `list_datasets` | closed | [
"_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... | 2023-06-19T13:07:08 | 2023-06-19T17:29:37 | 2023-06-19T17:22:41 | Fix #5925
Plus, deprecate `list_datasets`/`inspect_dataset` in favor of `huggingface_hub.list_datasets`/"git clone workflow" (downloads data files) | mariosasko | https://github.com/huggingface/datasets/pull/5964 | {
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"merged_at": "2023-06-19T17:22... | true |
1,762,774,457 | 5,963 | Got an error _pickle.PicklingError use Dataset.from_spark. | closed | [
"i got error using method from_spark when using multi-node Spark cluster. seems could only use \"from_spark\" in local?",
"@lhoestq ",
"cc @maddiedawson it looks like there an issue with `_validate_cache_dir` ?\r\n\r\nIt looks like the function passed to mapPartitions has a reference to the Spark dataset build... | 2023-06-19T05:30:35 | 2023-07-24T11:55:46 | 2023-07-24T11:55:46 | python 3.9.2
Got an error _pickle.PicklingError use Dataset.from_spark.
Did the dataset import load data from spark dataframe using multi-node Spark cluster
df = spark.read.parquet(args.input_data).repartition(50)
ds = Dataset.from_spark(df, keep_in_memory=True,
cache_dir="... | yanzia12138 | https://github.com/huggingface/datasets/issues/5963 | null | false |
1,761,589,882 | 5,962 | Issue with train_test_split maintaining the same underlying PyArrow Table | open | [] | 2023-06-17T02:19:58 | 2023-06-17T02:19:58 | null | ### Describe the bug
I've been using the train_test_split method in the datasets module to split my HuggingFace Dataset into separate training, validation, and testing subsets. However, I've noticed an issue where the split datasets appear to maintain the same underlying PyArrow Table.
### Steps to reproduce the bug
... | Oziel14 | https://github.com/huggingface/datasets/issues/5962 | null | false |
1,758,525,111 | 5,961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | open | [
"Does \"number of shards\" refer to the total number of data?\r\n\r\nmy config:\r\nnproc_per_node=2\r\nds=ds['train'] = load_dataset(streaming=True).take(50000)\r\n\r\nI'm test again: in prepare_data(), data have the same for each GPU\r\n",
"The number of shards is `ds.n_shards`. It corresponds generally to the ... | 2023-06-15T10:29:10 | 2023-09-01T10:35:11 | null | There are two ways an iterable dataset can be split by node:
1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | johnchienbronci | https://github.com/huggingface/datasets/issues/5961 | null | false |
1,757,397,507 | 5,959 | read metric glue.py from local file | closed | [
"Sorry, I solve this by call `evaluate.load('glue_metric.py','sst-2')`\r\n"
] | 2023-06-14T17:59:35 | 2023-06-14T18:04:16 | 2023-06-14T18:04:16 | ### Describe the bug
Currently, The server is off-line. I am using the glue metric from the local file downloaded from the hub.
I download / cached datasets using `load_dataset('glue','sst2', cache_dir='/xxx')` to cache them and then in the off-line mode, I use `load_dataset('xxx/glue.py','sst2', cache_dir='/xxx'... | JiazhaoLi | https://github.com/huggingface/datasets/issues/5959 | null | false |
1,757,265,971 | 5,958 | set dev version | closed | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5958). 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... | 2023-06-14T16:26:34 | 2023-06-14T16:34:55 | 2023-06-14T16:26:51 | null | lhoestq | https://github.com/huggingface/datasets/pull/5958 | {
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1,757,252,466 | 5,957 | Release: 2.13.0 | closed | [
"<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... | 2023-06-14T16:17:26 | 2023-06-14T16:33:39 | 2023-06-14T16:24:39 | null | lhoestq | https://github.com/huggingface/datasets/pull/5957 | {
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1,756,959,367 | 5,956 | Fix ArrowExamplesIterable.shard_data_sources | closed | [
"_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... | 2023-06-14T13:50:38 | 2023-06-14T14:43:12 | 2023-06-14T14:33:45 | ArrowExamplesIterable.shard_data_sources was outdated
I also fixed a warning message by not using format_type= in with_format() | lhoestq | https://github.com/huggingface/datasets/pull/5956 | {
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1,756,827,133 | 5,955 | Strange bug in loading local JSON files, using load_dataset | closed | [
"This is the actual error:\r\n```\r\nFailed to read file '/home/lakala/hjc/code/pycode/glm/temp.json' with error <class 'pyarrow.lib.ArrowInvalid'>: cannot mix list and non-list, non-null values\r\n```\r\nWhich means some samples are incorrectly formatted.\r\n\r\nPyArrow, a storage backend that we use under the hoo... | 2023-06-14T12:46:00 | 2023-06-21T14:42:15 | 2023-06-21T14:42:15 | ### Describe the bug
I am using 'load_dataset 'loads a JSON file, but I found a strange bug: an error will be reported when the length of the JSON file exceeds 160000 (uncertain exact number). I have checked the data through the following code and there are no issues. So I cannot determine the true reason for this err... | Night-Quiet | https://github.com/huggingface/datasets/issues/5955 | null | false |
1,756,572,994 | 5,954 | Better filenotfound for gated | closed | [
"_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... | 2023-06-14T10:33:10 | 2023-06-14T12:33:27 | 2023-06-14T12:26:31 | close https://github.com/huggingface/datasets/issues/5953
<img width="1292" alt="image" src="https://github.com/huggingface/datasets/assets/42851186/270fe5bc-1739-4878-b7bc-ab6d35336d4d">
| lhoestq | https://github.com/huggingface/datasets/pull/5954 | {
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1,756,520,523 | 5,953 | Bad error message when trying to download gated dataset | closed | [
"cc @sanchit-gandhi @Vaibhavs10 @lhoestq - this is mainly for demos that use Common Voice datasets as done here: https://github.com/facebookresearch/fairseq/tree/main/examples/mms#-transformers\r\n",
"Hi ! the error for me is\r\n\r\n```\r\nFileNotFoundError: Couldn't find a dataset script at /content/mozilla-foun... | 2023-06-14T10:03:39 | 2023-06-14T16:36:51 | 2023-06-14T12:26:32 | ### Describe the bug
When I attempt to download a model from the Hub that is gated without being logged in, I get a nice error message. E.g.:
E.g.
```sh
Repository Not Found for url: https://huggingface.co/api/models/DeepFloyd/IF-I-XL-v1.0.
Please make sure you specified the correct `repo_id` and `repo_type`.
I... | patrickvonplaten | https://github.com/huggingface/datasets/issues/5953 | null | false |
1,756,481,591 | 5,952 | Add Arrow builder docs | closed | [
"_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... | 2023-06-14T09:42:46 | 2023-06-14T14:42:31 | 2023-06-14T14:34:39 | following https://github.com/huggingface/datasets/pull/5944 | lhoestq | https://github.com/huggingface/datasets/pull/5952 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/5952.patch",
"merged_at": "2023-06-14T14:34... | true |
1,756,363,546 | 5,951 | What is the Right way to use discofuse dataset?? | closed | [
"Thanks for opening https://huggingface.co/datasets/discofuse/discussions/3, let's continue the discussion over there if you don't mind",
"I have posted there also sir, please check\r\n@lhoestq"
] | 2023-06-14T08:38:39 | 2023-06-14T13:25:06 | 2023-06-14T12:10:16 | [Click here for Dataset link](https://huggingface.co/datasets/discofuse/viewer/discofuse-wikipedia/train?row=6)
**Below is the following way, as per my understanding , Is it correct :question: :question:**
The **columns/features from `DiscoFuse dataset`** that will be the **input to the `encoder` and `decoder`** ar... | akesh1235 | https://github.com/huggingface/datasets/issues/5951 | null | false |
1,755,197,946 | 5,950 | Support for data with instance-wise dictionary as features | open | [
"Hi ! We use the Arrow columnar format under the hood, which doesn't support such dictionaries: each field must have a fixed type and exist in each sample.\r\n\r\nInstead you can restructure your data like\r\n```\r\n{\r\n \"index\": 0,\r\n \"keys\": [\"2 * x + y >= 3\"],\r\n \"values\": [[\"2 * x + y >= 3\... | 2023-06-13T15:49:00 | 2025-04-07T13:20:37 | null | ### Feature request
I notice that when loading data instances with feature type of python dictionary, the dictionary keys would be broadcast so that every instance has the same set of keys. Please see an example in the Motivation section.
It is possible to avoid this behavior, i.e., load dictionary features as it i... | richardwth | https://github.com/huggingface/datasets/issues/5950 | null | false |
1,754,843,717 | 5,949 | Replace metadata utils with `huggingface_hub`'s RepoCard API | closed | [
"_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... | 2023-06-13T13:03:19 | 2023-06-27T16:47:51 | 2023-06-27T16:38:32 | Use `huggingface_hub`'s RepoCard API instead of `DatasetMetadata` for modifying the card's YAML, and deprecate `datasets.utils.metadata` and `datasets.utils.readme`.
After removing these modules, we can also delete `datasets.utils.resources` since the moon landing repo now stores its own version of these resources f... | mariosasko | https://github.com/huggingface/datasets/pull/5949 | {
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"merged_at": "2023-06-27T16:38... | true |
1,754,794,611 | 5,948 | Fix sequence of array support for most dtype | closed | [
"_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... | 2023-06-13T12:38:59 | 2023-06-14T15:11:55 | 2023-06-14T15:03:33 | Fixes #5936
Also, a related fix to #5927 | qgallouedec | https://github.com/huggingface/datasets/pull/5948 | {
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"merged_at": "2023-06-14T15:03... | true |
1,754,359,316 | 5,947 | Return the audio filename when decoding fails due to corrupt files | open | [
"Hi ! The audio data don't always exist as files on disk - the blobs are often stored in the Arrow files. For now I'd suggest disabling decoding with `.cast_column(\"audio\", Audio(decode=False))` and apply your own decoding that handles corrupted files (maybe to filter them out ?)\r\n\r\ncc @sanchit-gandhi since i... | 2023-06-13T08:44:09 | 2023-06-14T12:45:01 | null | ### Feature request
Return the audio filename when the audio decoding fails. Although currently there are some checks for mp3 and opus formats with the library version there are still cases when the audio decoding could fail, eg. Corrupt file.
### Motivation
When you try to load an object file dataset and the... | wetdog | https://github.com/huggingface/datasets/issues/5947 | null | false |
1,754,234,469 | 5,946 | IndexError Not Solving -> IndexError: Invalid key: ?? is out of bounds for size 0 or ?? | open | [
"https://colab.research.google.com/#scrollTo=AQ_HCYruWIHU&fileId=https%3A//huggingface.co/dfurman/falcon-40b-chat-oasst1/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb\r\n\r\nI ran the same administration exactly the same but got the same error",
"Looks related to https://discuss.huggingface.co/t/indexer... | 2023-06-13T07:34:15 | 2023-07-14T12:04:48 | null | ### Describe the bug
in <cell line: 1>:1 │
│ │
│ /usr/local/lib/python3.10/dist-packages/transformers/trainer.py:1537 in train ... | syngokhan | https://github.com/huggingface/datasets/issues/5946 | null | false |
1,754,084,577 | 5,945 | Failing to upload dataset to the hub | closed | [
"Hi ! Feel free to re-run your code later, it will resume automatically where you left",
"Tried many times in the last 2 weeks, problem remains.",
"Alternatively you can save your dataset in parquet files locally and upload them to the hub manually\r\n\r\n```python\r\nfrom tqdm import tqdm\r\nnum_shards = 60\r\... | 2023-06-13T05:46:46 | 2023-07-24T11:56:40 | 2023-07-24T11:56:40 | ### Describe the bug
Trying to upload a dataset of hundreds of thousands of audio samples (the total volume is not very large, 60 gb) to the hub with push_to_hub, it doesn't work.
From time to time one piece of the data (parquet) gets pushed and then I get RemoteDisconnected even though my internet is stable.
Please... | Ar770 | https://github.com/huggingface/datasets/issues/5945 | null | false |
1,752,882,200 | 5,944 | Arrow dataset builder to be able to load and stream Arrow datasets | closed | [
"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq tips applied. Thanks for a review. :smile: It's a lot of fun to improve this project. ",
"Let's add some documentation in a subsequent PR :)\r\n\r\nIn particular @mariosasko and I think it's important to note to users tha... | 2023-06-12T14:21:49 | 2023-06-13T17:36:02 | 2023-06-13T17:29:01 | This adds a Arrow dataset builder to be able to load and stream from already preprocessed Arrow files.
It's related to https://github.com/huggingface/datasets/issues/3035 | mariusz-jachimowicz-83 | https://github.com/huggingface/datasets/pull/5944 | {
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"merged_at": "2023-06-13T17:29... | true |
1,752,021,681 | 5,942 | Pass datasets-cli additional args as kwargs to DatasetBuilder in `run_beam.py` | open | [] | 2023-06-12T06:50:50 | 2023-06-30T09:15:00 | null | Hi,
Following this <https://discuss.huggingface.co/t/how-to-preprocess-a-wikipedia-dataset-using-dataflowrunner/41991/3>, here is a simple PR to pass any additional args to datasets-cli as kwargs in the DatasetBuilder in `run_beam.py`.
I also took the liberty to add missing setup steps to the `beam.mdx` docs in o... | graelo | https://github.com/huggingface/datasets/pull/5942 | {
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"merged_at": null
} | true |
1,751,838,897 | 5,941 | Load Data Sets Too Slow In Train Seq2seq Model | closed | [
"Hi ! you can speed it up using multiprocessing by passing `num_proc=` to `load_dataset()`",
"already did，but not useful for step Generating train split，it works in step \"Resolving data files\" & \"Downloading data files\" ",
"@mariosasko some advice ， thanks！",
"I met the same problem, terrible experience... | 2023-06-12T03:58:43 | 2023-08-15T02:52:22 | 2023-08-15T02:52:22 | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | xyx361100238 | https://github.com/huggingface/datasets/issues/5941 | null | false |
1,774,389,854 | 5,990 | Pushing a large dataset on the hub consistently hangs | open | [
"Hi @AntreasAntoniou , sorry to know you are facing this issue. To help debugging it, could you tell me:\r\n- What is the total dataset size?\r\n- Is it always failing on the same shard or is the hanging problem happening randomly?\r\n- Were you able to save the dataset as parquet locally? This would help us determ... | 2023-06-10T14:46:47 | 2025-02-15T09:29:10 | null | ### Describe the bug
Once I have locally built a large dataset that I want to push to hub, I use the recommended approach of .push_to_hub to get the dataset on the hub, and after pushing a few shards, it consistently hangs. This has happened over 40 times over the past week, and despite my best efforts to try and catc... | AntreasAntoniou | https://github.com/huggingface/datasets/issues/5990 | null | false |
1,749,955,883 | 5,939 | . | closed | [] | 2023-06-09T14:01:34 | 2023-06-12T12:19:34 | 2023-06-12T12:19:19 | null | flckv | https://github.com/huggingface/datasets/issues/5939 | null | false |
1,749,462,851 | 5,938 | Make get_from_cache use custom temp filename that is locked | closed | [
"_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... | 2023-06-09T09:01:13 | 2023-06-14T13:35:38 | 2023-06-14T13:27:24 | This PR ensures that the temporary filename created is the same as the one that is locked, while writing to the cache.
This PR stops using `tempfile` to generate the temporary filename.
Additionally, the behavior now is aligned for both `resume_download` `True` and `False`.
Refactor temp_file_manager so that i... | albertvillanova | https://github.com/huggingface/datasets/pull/5938 | {
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"merged_at": "2023-06-14T13:27... | true |
1,749,388,597 | 5,937 | Avoid parallel redownload in cache | closed | [
"_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... | 2023-06-09T08:18:36 | 2023-06-14T12:30:59 | 2023-06-14T12:23:57 | Avoid parallel redownload in cache by retrying inside the lock if path exists. | albertvillanova | https://github.com/huggingface/datasets/pull/5937 | {
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"merged_at": "2023-06-14T12:23... | true |
1,748,424,388 | 5,936 | Sequence of array not supported for most dtype | closed | [
"Related, `float16` is the only dtype not supported by `Array2D` (probably by every `ArrayND`):\r\n\r\n```python\r\nfrom datasets import Array2D, Features, Dataset\r\n\r\nimport numpy as np\r\n\r\nfor dtype in [\r\n \"bool\", # ok\r\n \"int8\", # ok\r\n \"int16\", # ok\r\n \"int32\", # ok\r\n \"i... | 2023-06-08T18:18:07 | 2023-06-14T15:03:34 | 2023-06-14T15:03:34 | ### Describe the bug
Create a dataset composed of sequence of array fails for most dtypes (see code below).
### Steps to reproduce the bug
```python
from datasets import Sequence, Array2D, Features, Dataset
import numpy as np
for dtype in [
"bool", # ok
"int8", # failed
"int16", # failed
... | qgallouedec | https://github.com/huggingface/datasets/issues/5936 | null | false |
1,748,090,220 | 5,935 | Better row group size in push_to_hub | closed | [
"<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... | 2023-06-08T15:01:15 | 2023-06-09T17:47:37 | 2023-06-09T17:40:09 | This is a very simple change that improves `to_parquet` to use a more reasonable row group size for image and audio datasets.
This is especially useful for `push_to_hub` and will provide a better experience with the dataset viewer on HF | lhoestq | https://github.com/huggingface/datasets/pull/5935 | {
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"merged_at": "2023-06-09T17:40... | true |
1,747,904,840 | 5,934 | Modify levels of some logging messages | closed | [
"I've addressed this as part of #6019, so feel free to close this PR. ",
"Thanks !"
] | 2023-06-08T13:31:44 | 2023-07-12T18:21:03 | 2023-07-12T18:21:02 | Some warning messages didn't quite sound like warnings so I modified their logging levels to info. | Laurent2916 | https://github.com/huggingface/datasets/pull/5934 | {
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1,747,382,500 | 5,933 | Fix `to_numpy` when None values in the sequence | closed | [
"I just added the same test with dynamic shape",
"_The documentation is not available anymore as the PR was closed or merged._",
"Awesome ! I'm merging now if you don't mind :)\r\nWe should probably give you permissions to merge your own PRs when you have an approval",
"<details>\n<summary>Show benchmarks</su... | 2023-06-08T08:38:56 | 2023-06-09T13:49:41 | 2023-06-09T13:23:48 | Closes #5927
I've realized that the error was overlooked during testing due to the presence of only one None value in the sequence.
Unfortunately, it was the only case where the function works as expected. When the sequence contained more than one None value, the function failed. Consequently, I've updated the tests... | qgallouedec | https://github.com/huggingface/datasets/pull/5933 | {
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"merged_at": "2023-06-09T13:23... | true |
1,746,249,161 | 5,932 | [doc build] Use secrets | closed | [
"<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... | 2023-06-07T16:09:39 | 2023-06-09T10:16:58 | 2023-06-09T09:53:16 | Companion pr to https://github.com/huggingface/doc-builder/pull/379 | mishig25 | https://github.com/huggingface/datasets/pull/5932 | {
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"merged_at": "2023-06-09T09:53... | true |
1,745,408,784 | 5,931 | `datasets.map` not reusing cached copy by default | closed | [
"This can happen when a map transform cannot be hashed deterministically (e.g., an object referenced by the transform changes its state after the first call - an issue with fast tokenizers). The solution is to provide `cache_file_name` in the `map` call to check this file for the cached result instead of relying on... | 2023-06-07T09:03:33 | 2023-06-21T16:15:40 | 2023-06-21T16:15:40 | ### Describe the bug
When I load the dataset from local directory, it's cached copy is picked up after first time. However, for `map` operation, the operation is applied again and cached copy is not picked up. Is there any way to pick cached copy instead of processing it again? The only solution I could think of was... | bhavitvyamalik | https://github.com/huggingface/datasets/issues/5931 | null | false |
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