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https://api.github.com/repos/huggingface/datasets/issues/7143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7143/comments | https://api.github.com/repos/huggingface/datasets/issues/7143/events | https://github.com/huggingface/datasets/pull/7143 | 2,512,327,211 | PR_kwDODunzps56xCm6 | 7,143 | Modify add_column() to optionally accept a pyarrow schema as param | {
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"Requesting review @lhoestq \r\nI will also update the docs if this looks good.",
"Cool ! maybe you can rename the argument `feature` and with type `FeatureType` ? This way it would work the same way as `.cast_column()` ?",
"@lhoestq Since there is no way to get a `pyarrow.Schema` from a `FeatureType`, I had to... | 2024-09-08T10:56:57 | 2024-09-08T11:10:17 | null | NONE | null | 0 | {
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} | [Open Issue](https://github.com/huggingface/datasets/issues/7142)
**Before (Add + Cast)**:
```
from datasets import load_dataset, Value
ds = load_dataset("rotten_tomatoes", split="test")
lst = [i for i in range(len(ds))]
ds = ds.add_column("new_col", lst)
# Assigns int64 to new_col by default
print(ds.fea... | {
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"#self-assign"
] | 2024-09-08T07:34:24 | 2024-09-08T07:35:26 | null | NONE | null | null | null | ### Feature request
There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` of desi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7141/comments | https://api.github.com/repos/huggingface/datasets/issues/7141/events | https://github.com/huggingface/datasets/issues/7141 | 2,510,797,653 | I_kwDODunzps6Vp7tV | 7,141 | Older datasets throwing safety errors with 2.21.0 | {
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"I am also getting this error with this dataset: https://huggingface.co/datasets/google/IFEval",
"Me too, didn't have this issue few hours ago.",
"same observation. I even downgraded `datasets==2.20.0` and `huggingface_hub==0.23.5` leading me to believe it's an issue on the server.\r\n\r\nany known workarounds?... | 2024-09-06T16:26:30 | 2024-09-06T21:14:14 | 2024-09-06T19:09:29 | NONE | null | null | null | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | {
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https://api.github.com/repos/huggingface/datasets/issues/7139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7139/comments | https://api.github.com/repos/huggingface/datasets/issues/7139/events | https://github.com/huggingface/datasets/issues/7139 | 2,508,078,858 | I_kwDODunzps6Vfj8K | 7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | {
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```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7138/comments | https://api.github.com/repos/huggingface/datasets/issues/7138/events | https://github.com/huggingface/datasets/issues/7138 | 2,507,738,308 | I_kwDODunzps6VeQzE | 7,138 | Cache only changed columns? | {
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"so I guess a workaround to this is to simply remove all columns except the ones to cache and then add them back with `concatenate_datasets(..., axis=1)`."
] | 2024-09-05T12:56:47 | 2024-09-05T13:56:13 | null | CONTRIBUTOR | null | null | null | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | {
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https://api.github.com/repos/huggingface/datasets/issues/7137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7137/comments | https://api.github.com/repos/huggingface/datasets/issues/7137/events | https://github.com/huggingface/datasets/issues/7137 | 2,506,851,048 | I_kwDODunzps6Va4Lo | 7,137 | dataset_info sequence format unexpected behavior in README.md YAML | {
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"The non-sequence case works well (`dict[str, str]` instead of `list[dict[str, str]]`), which makes me believe it shall be a bug for `sequence` and my proposed behavior shall be expected.\r\n```\r\ndataset_info:\r\n- config_name: default\r\n features:\r\n - name: answers\r\n dtype:\r\n - name: text\r\n ... | 2024-09-05T06:06:06 | 2024-09-05T06:10:56 | null | NONE | null | null | null | ### Describe the bug
When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
feature... | {
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https://api.github.com/repos/huggingface/datasets/issues/7136 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7136/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7136/comments | https://api.github.com/repos/huggingface/datasets/issues/7136/events | https://github.com/huggingface/datasets/pull/7136 | 2,506,115,857 | PR_kwDODunzps56b9R- | 7,136 | Do not consume unnecessary memory during sharding | {
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} | When sharding `IterableDataset`s, a temporary list is created that is then indexed. There is no need to create a temporary list of a potentially very large step/world size, with standard `islice` functionality, so we avoid it.
```shell
pytest tests/test_distributed.py -k iterable
```
Runs successfully. | {
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https://api.github.com/repos/huggingface/datasets/issues/7135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7135/comments | https://api.github.com/repos/huggingface/datasets/issues/7135/events | https://github.com/huggingface/datasets/issues/7135 | 2,503,318,328 | I_kwDODunzps6VNZs4 | 7,135 | Bug: Type Mismatch in Dataset Mapping | {
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"By the way, following code is working. This show the inconsistentcy.\r\n```python\r\nfrom datasets import Dataset\r\n\r\n# Original data\r\ndata = {\r\n 'text': ['Hello', 'world', 'this', 'is', 'a', 'test'],\r\n 'label': [0, 1, 0, 1, 1, 0]\r\n}\r\n\r\n# Creating a Dataset object\r\ndataset = Dataset.from_dic... | 2024-09-03T16:37:01 | 2024-09-05T14:09:05 | null | NONE | null | null | null | # Issue: Type Mismatch in Dataset Mapping
## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer instead of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7134/comments | https://api.github.com/repos/huggingface/datasets/issues/7134/events | https://github.com/huggingface/datasets/issues/7134 | 2,499,484,041 | I_kwDODunzps6U-xmJ | 7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | {
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Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | {
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https://api.github.com/repos/huggingface/datasets/issues/7133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7133/comments | https://api.github.com/repos/huggingface/datasets/issues/7133/events | https://github.com/huggingface/datasets/pull/7133 | 2,496,474,495 | PR_kwDODunzps557zng | 7,133 | remove filecheck to enable symlinks | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7133). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The CI is failing, looks like it breaks imagefolder loading.\r\n\r\nI just checked fssp... | 2024-08-30T07:36:56 | 2024-09-04T12:46:56 | null | CONTRIBUTOR | null | 0 | {
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"Hi ! datasets saved using `save_to_disk` should be loaded with `load_from_disk` ;)",
"It is convienient to just pass in a path to a local dataset or one from the hub and use the same function to load it. Is it not possible to get this fix merged in to allow this? ",
"We can modify `save_to_disk` to write the d... | 2024-08-29T13:48:16 | 2024-09-02T19:52:13 | null | NONE | null | 0 | {
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} | I saved a dataset with two splits to disk with `DatasetDict.save_to_disk`. The train is bigger and ended up in 10 shards, whereas the test split only resulted in 1 split.
Now when trying to load the dataset, an error is raised that not all splits have the same data format:
> ValueError: Couldn't infer the same da... | {
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https://api.github.com/repos/huggingface/datasets/issues/7129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7129/comments | https://api.github.com/repos/huggingface/datasets/issues/7129/events | https://github.com/huggingface/datasets/issues/7129 | 2,491,942,650 | I_kwDODunzps6UiAb6 | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | {
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"g... | [] | open | false | null | [] | null | [] | 2024-08-28T12:27:48 | 2024-08-28T12:27:48 | null | NONE | null | null | null | In the documentation for [ClassLabel](https://huggingface.co/docs/datasets/v2.21.0/en/package_reference/main_classes#datasets.ClassLabel), there is an example of usage with the following code:
````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
... | {
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] | open | false | null | [] | null | [] | 2024-08-27T20:31:09 | 2024-08-27T20:31:09 | null | NONE | null | null | null | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | {
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"I first thought this was a mistake of mine, and also posted on stack overflow. https://stackoverflow.com/questions/78913797/iterating-a-huggingface-dataset-from-disk-using-generator-seems-broken-how-to-d \r\n\r\nIt seems to me the issue is the caching step in \r\n\r\nhttps://github.com/huggingface/datasets/blob/be... | 2024-08-26T10:29:48 | 2024-08-26T10:35:57 | null | NONE | null | null | null | ### Describe the bug
Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same result ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7126/comments | https://api.github.com/repos/huggingface/datasets/issues/7126/events | https://github.com/huggingface/datasets/pull/7126 | 2,485,939,495 | PR_kwDODunzps55Y-Ws | 7,126 | Disable implicit token in CI | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7126). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
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This PR allows running CI tests locally without implicitly using the local user HF token. For example, run locally the tests in:
- #7124 | {
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https://api.github.com/repos/huggingface/datasets/issues/7125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7125/comments | https://api.github.com/repos/huggingface/datasets/issues/7125/events | https://github.com/huggingface/datasets/pull/7125 | 2,485,912,246 | PR_kwDODunzps55Y4TM | 7,125 | Fix wrong SHA in CI tests of HubDatasetModuleFactoryWithParquetExport | {
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https://api.github.com/repos/huggingface/datasets/issues/7124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7124/comments | https://api.github.com/repos/huggingface/datasets/issues/7124/events | https://github.com/huggingface/datasets/pull/7124 | 2,485,890,442 | PR_kwDODunzps55YzWr | 7,124 | Test get_dataset_config_info with non-existing/gated/private dataset | {
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Related to:
- #7109
See also:
- https://github.com/huggingface/dataset-viewer/pull/3037: https://github.com/huggingface/dataset-viewer/pull/3037/commits/bb1a7e00c53c242088597cab6572e4fd57797ecb | {
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https://api.github.com/repos/huggingface/datasets/issues/7123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7123/comments | https://api.github.com/repos/huggingface/datasets/issues/7123/events | https://github.com/huggingface/datasets/issues/7123 | 2,484,003,937 | I_kwDODunzps6UDuRh | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | {
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] | open | false | null | [] | null | [] | 2024-08-23T22:56:01 | 2024-08-23T23:01:42 | null | NONE | null | null | null | ### Feature request
To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | {
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https://api.github.com/repos/huggingface/datasets/issues/7122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7122/comments | https://api.github.com/repos/huggingface/datasets/issues/7122/events | https://github.com/huggingface/datasets/issues/7122 | 2,482,491,258 | I_kwDODunzps6T9896 | 7,122 | [interleave_dataset] sample batches from a single source at a time | {
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] | open | false | null | [] | null | [] | 2024-08-23T07:21:15 | 2024-08-23T07:21:15 | null | NONE | null | null | null | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | {
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https://api.github.com/repos/huggingface/datasets/issues/7121 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7121/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7121/comments | https://api.github.com/repos/huggingface/datasets/issues/7121/events | https://github.com/huggingface/datasets/pull/7121 | 2,480,978,483 | PR_kwDODunzps55Iukl | 7,121 | Fix typed examples iterable state dict | {
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https://api.github.com/repos/huggingface/datasets/issues/7120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7120/comments | https://api.github.com/repos/huggingface/datasets/issues/7120/events | https://github.com/huggingface/datasets/pull/7120 | 2,480,674,237 | PR_kwDODunzps55HrBy | 7,120 | don't mention the script if trust_remote_code=False | {
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"Note that in this case, we could even expect this kind of message:\r\n\r\n```\r\nDataFi... | 2024-08-22T12:32:32 | 2024-08-22T14:39:52 | 2024-08-22T14:33:52 | CONTRIBUTOR | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | See https://huggingface.co/datasets/Omega02gdfdd/bioclip-demo-zero-shot-mistakes for example. The error is:
```
FileNotFoundError: Couldn't find a dataset script at /src/services/worker/Omega02gdfdd/bioclip-demo-zero-shot-mistakes/bioclip-demo-zero-shot-mistakes.py or any data file in the same directory. Couldn't f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7119 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7119/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7119/comments | https://api.github.com/repos/huggingface/datasets/issues/7119/events | https://github.com/huggingface/datasets/pull/7119 | 2,477,766,493 | PR_kwDODunzps54-GjY | 7,119 | Install transformers with numpy-2 CI | {
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Note that transformers no longer pins numpy < 2 since transformers-4.43.0:
- https://github.com/huggingface/transformers/pull/32018
- https://github.com/huggingface/transformers/releases/tag/v4.43.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7118/comments | https://api.github.com/repos/huggingface/datasets/issues/7118/events | https://github.com/huggingface/datasets/pull/7118 | 2,477,676,893 | PR_kwDODunzps549yu4 | 7,118 | Allow numpy-2.1 and test it without audio extra | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7118). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-21T10:29:35 | 2024-08-21T11:05:03 | 2024-08-21T10:58:15 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Allow numpy-2.1 and test it without audio extra.
This PR reverts:
- #7114
Note that audio extra tests can be included again with numpy-2.1 once next numba-0.61.0 version is released. | {
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"Hi ! I think the issue comes from the fact that you return `row` entirely, and therefore the dataset has to re-encode the audio data in `row`.\r\n\r\nCan you try this instead ?\r\n\r\n```python\r\n# map the dataset\r\ndef transcribe_audio(row):\r\n audio = row[\"audio\"] # get the audio but do nothing with it\... | 2024-08-20T21:18:12 | 2024-08-26T13:11:55 | null | NONE | null | null | null | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | {
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https://api.github.com/repos/huggingface/datasets/issues/7116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7116/comments | https://api.github.com/repos/huggingface/datasets/issues/7116/events | https://github.com/huggingface/datasets/issues/7116 | 2,475,522,721 | I_kwDODunzps6TjXqh | 7,116 | datasets cannot handle nested json if features is given. | {
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"Hi ! `Sequence` has a weird behavior for dictionaries (from tensorflow-datasets), use a regular list instead:\r\n\r\n```python\r\nds = datasets.load_dataset('json', data_files=\"./temp.json\", features=datasets.Features({\r\n 'ref1': datasets.Value('string'),\r\n 'ref2': datasets.Value('string'),\r\n 'cut... | 2024-08-20T12:27:49 | 2024-09-03T10:18:23 | 2024-09-03T10:18:07 | NONE | null | null | null | ### Describe the bug
I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets.Value... | {
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https://api.github.com/repos/huggingface/datasets/issues/7115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7115/comments | https://api.github.com/repos/huggingface/datasets/issues/7115/events | https://github.com/huggingface/datasets/issues/7115 | 2,475,363,142 | I_kwDODunzps6TiwtG | 7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"https://github.com/neurafusionai/Hugging_Face/blob/main/meta_opt_350m_customer_support_lora_v1.ipynb\r\n\r\ncouldnt train because of GPU\r\nI didnt pip install datasets -U\r\nbut looks like restarting worked"
] | 2024-08-20T11:05:44 | 2024-08-20T12:06:20 | null | NONE | null | null | null | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | {
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Dataset summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets repository. It is intended for educational purposes and can be used for semantic search or multulabel text classification. The contents of each GitHub issue are in English and concern the domain of datasets for NLP, computer vision, and beyond.
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