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https://api.github.com/repos/huggingface/datasets/issues/7398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7398/comments | https://api.github.com/repos/huggingface/datasets/issues/7398/events | https://github.com/huggingface/datasets/pull/7398 | 2,853,097,869 | PR_kwDODunzps6LNoDk | 7,398 | Release: 3.3.0 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7398). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-14T09:15:03 | 2025-02-14T09:57:39 | 2025-02-14T09:57:37 | MEMBER | {
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https://api.github.com/repos/huggingface/datasets/issues/7399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7399/comments | https://api.github.com/repos/huggingface/datasets/issues/7399/events | https://github.com/huggingface/datasets/issues/7399 | 2,853,098,442 | I_kwDODunzps6qDtPK | 7,399 | Synchronize parameters for various datasets | {
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"Hi ! the `desc` parameter is only available for Dataset / DatasetDict for the progress bar of `map()``\n\nSince IterableDataset only runs the map functions when you iterate over the dataset, there is no progress bar and `desc` is useless. We could still add the argument for parity but it wouldn't be used for anything"
] | 2025-02-14T09:15:11 | 2025-02-14T13:52:46 | null | NONE | {
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} | null | null | null | ### Describe the bug
[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.Dataset.map).
There might be other parameters missing - I haven't checked.
### Steps to reproduce the bug
from datasets import Dataset, IterableDataset, IterableDatasetDict
ds = IterableDatasetDict({"train": Dataset.from_dict({"a": range(6)}).to_iterable_dataset(num_shards=3),
"validate": Dataset.from_dict({"a": range(6)}).to_iterable_dataset(num_shards=3)})
for d in ds["train"]:
print(d)
ds = ds.map(lambda x: {k: v+1 for k, v in x.items()}, desc="increment")
for d in ds["train"]:
print(d)
### Expected behavior
The description parameter should be available for all datasets (or none).
### Environment info
- `datasets` version: 3.2.0
- Platform: Linux-6.1.85+-x86_64-with-glibc2.35
- Python version: 3.11.11
- `huggingface_hub` version: 0.28.1
- PyArrow version: 17.0.0
- Pandas version: 2.2.2
- `fsspec` version: 2024.9.0 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7397 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7397/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7397/comments | https://api.github.com/repos/huggingface/datasets/issues/7397/events | https://github.com/huggingface/datasets/pull/7397 | 2,852,829,763 | PR_kwDODunzps6LMuQD | 7,397 | Kannada dataset(Conversations, Wikipedia etc) | {
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https://api.github.com/repos/huggingface/datasets/issues/7393 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7393/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7393/comments | https://api.github.com/repos/huggingface/datasets/issues/7393/events | https://github.com/huggingface/datasets/pull/7393 | 2,846,446,674 | PR_kwDODunzps6K3DiZ | 7,393 | Optimized sequence encoding for scalars | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7393). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-11T20:30:44 | 2025-02-13T17:11:33 | 2025-02-13T17:11:32 | CONTRIBUTOR | {
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} | The change in https://github.com/huggingface/datasets/pull/3197 introduced redundant list-comprehensions when `obj` is a long sequence of scalars. This becomes a noticeable overhead when loading data from an `IterableDataset` in the function `_apply_feature_types_on_example` and can be eliminated by adding a check for scalars in `encode_nested_example` proposed here.
In the following code example
```
import time
from datasets.features import Sequence, Value
from datasets.features.features import encode_nested_example
schema = Sequence(Value("int32"))
obj = list(range(100000))
start = time.perf_counter()
result = encode_nested_example(schema, obj)
stop = time.perf_counter()
print(f"Time spent is {stop-start} sec")
```
`encode_nested_example` becomes 492x faster (from 0.0769 to 0.0002 sec), respectively 322x (from 0.00814 to 0.00003 sec) for a list of length 10000, on a GH200 system, making it unnoticeable when loading data with tokenization.
Another change is made to avoid creating arrays from scalars and afterwards re-extracting them during casting to python (`obj == obj.__array__()[()]` in that case), which avoids a regression in the array write benchmarks. | {
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https://api.github.com/repos/huggingface/datasets/issues/7401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7401/comments | https://api.github.com/repos/huggingface/datasets/issues/7401/events | https://github.com/huggingface/datasets/pull/7401 | 2,853,260,869 | PR_kwDODunzps6LOMSo | 7,401 | set dev version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7401). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-14T10:17:03 | 2025-02-14T10:19:20 | 2025-02-14T10:17:13 | MEMBER | {
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https://api.github.com/repos/huggingface/datasets/issues/7394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7394/comments | https://api.github.com/repos/huggingface/datasets/issues/7394/events | https://github.com/huggingface/datasets/issues/7394 | 2,847,172,115 | I_kwDODunzps6ptGYT | 7,394 | Using load_dataset with data_files and split arguments yields an error | {
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} | null | null | null | ### Describe the bug
It seems the list of valid splits recorded by the package becomes incorrectly overwritten when using the `data_files` argument.
If I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
then I get the error
```
ValueError: Unknown split "all_examples". Should be one of ['train'].
```
However, if I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="train", name="Expert")
```
then I get
```
ValueError: Unknown split "train". Should be one of ['all_examples'].
```
### Steps to reproduce the bug
Run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
### Expected behavior
No error.
### Environment info
Python = 3.12
datasets = 3.2.0 | null | {
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