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https://api.github.com/repos/huggingface/datasets/issues/2553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2553/comments | https://api.github.com/repos/huggingface/datasets/issues/2553/events | https://github.com/huggingface/datasets/issues/2553 | 931,365,926 | MDU6SXNzdWU5MzEzNjU5MjY= | 2,553 | load_dataset("web_nlg") NonMatchingChecksumError | {
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"gists... | null | 2 | 2021-06-28T09:26:46Z | 2021-06-28T17:23:39Z | 2021-06-28T17:23:16Z | NONE | null | null | null | Hi! It seems the WebNLG dataset gives a NonMatchingChecksumError.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('web_nlg', name="release_v3.0_en", split="dev")
```
Gives
```
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['h... | {
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https://api.github.com/repos/huggingface/datasets/issues/2552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2552/comments | https://api.github.com/repos/huggingface/datasets/issues/2552/events | https://github.com/huggingface/datasets/issues/2552 | 931,354,687 | MDU6SXNzdWU5MzEzNTQ2ODc= | 2,552 | Keys should be unique error on code_search_net | {
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] | closed | false | null | [] | null | 8 | 2021-06-28T09:15:20Z | 2021-09-06T14:08:30Z | 2021-09-02T08:25:29Z | MEMBER | null | null | null | ## Describe the bug
Loading `code_search_net` seems not possible at the moment.
## Steps to reproduce the bug
```python
>>> load_dataset('code_search_net')
Downloading: 8.50kB [00:00, 3.09MB/s] ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2551/comments | https://api.github.com/repos/huggingface/datasets/issues/2551/events | https://github.com/huggingface/datasets/pull/2551 | 930,967,978 | MDExOlB1bGxSZXF1ZXN0Njc4NTQzMjg1 | 2,551 | Fix FileSystems documentation | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ### What this fixes:
This PR resolves several issues I discovered in the documentation on the `datasets.filesystems` module ([this page](https://huggingface.co/docs/datasets/filesystems.html)).
### What were the issues?
When I originally tried implementing the code examples I faced several bugs attributed to:
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] | closed | false | null | [] | null | 0 | 2021-06-27T15:00:58Z | 2021-09-26T13:42:39Z | 2021-09-26T13:42:39Z | CONTRIBUTOR | null | null | null | Currently, using a metric allows for one of the following:
- Per example/batch metrics
- Cumulative metrics over the whole data
What I'd like is to have an efficient way to get cumulative metrics over the examples/batches added so far, in order to display it as part of the progress bar during training/evaluation.
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] | closed | false | null | [] | null | 2 | 2021-06-25T04:32:23Z | 2021-06-25T21:07:57Z | 2021-06-25T21:07:56Z | NONE | null | null | null | Hi!
Is there a way for datasets to produce unlabeled instances (e.g., the `ClassLabel` can be nullable).
For example, I want to use the MNLI dataset reader ( https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi_nli.py ) on a file that doesn't have the `gold_label` field. I tried setting `"... | {
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] | closed | false | null | [] | null | 1 | 2021-06-24T13:29:53Z | 2021-06-24T14:36:43Z | 2021-06-24T14:34:05Z | NONE | null | null | null | ## Describe the bug
The `load_dataset` function expects columns in alphabetical order when loading json files.
Similar bug was previously reported for csv in #623 and fixed in #684.
## Steps to reproduce the bug
For a json file `j.json`,
```
{"c":321, "a": 1, "b": 2}
```
Running the following,
```
f= data... | {
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## Describe the bug
It's not normal that I have to wait 7-8 hours for a dataset to be loaded from disk, as there are no preprocessing steps, it's only loading it with load_from_disk. I have 96 cpus, however only 1 is used for this, which is inefficient. Moreover, its usage is at 1%... This is happening in t... | {
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I added it and I also filled a few other empty sections. | {
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cc: @VictorSanh. | {
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Close #2543.
cc: @stas00 | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 1 | 2021-06-23T19:26:55Z | 2021-06-25T13:40:19Z | 2021-06-25T13:40:19Z | CONTRIBUTOR | null | null | null | In https://github.com/huggingface/transformers/pull/12276 we are now changing the examples to have `datasets` on the same log level as `transformers`, so that one setting can do a consistent logging across all involved components.
The trouble is that now we get a ton of these:
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06/23/2021 12:15:31 - INFO - da... | {
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https://api.github.com/repos/huggingface/datasets/issues/2542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2542/comments | https://api.github.com/repos/huggingface/datasets/issues/2542/events | https://github.com/huggingface/datasets/issues/2542 | 928,540,382 | MDU6SXNzdWU5Mjg1NDAzODI= | 2,542 | `datasets.keyhash.DuplicatedKeysError` for `drop` and `adversarial_qa/adversarialQA` | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 4 | 2021-06-23T18:41:16Z | 2021-06-25T21:50:05Z | 2021-06-24T14:57:08Z | MEMBER | null | null | null | ## Describe the bug
Failure to generate the datasets (`drop` and subset `adversarialQA` from `adversarial_qa`) because of duplicate keys.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("drop")
load_dataset("adversarial_qa", "adversarialQA")
```
## Expected results
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2541/comments | https://api.github.com/repos/huggingface/datasets/issues/2541/events | https://github.com/huggingface/datasets/pull/2541 | 928,529,078 | MDExOlB1bGxSZXF1ZXN0Njc2NTIwNDgx | 2,541 | update discofuse link cc @ekQ | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Updating the discofuse link: https://github.com/google-research-datasets/discofuse/commit/fd4b120cb3dd19a417e7f3b5432010b574b5eeee | {
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https://api.github.com/repos/huggingface/datasets/issues/2540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2540/comments | https://api.github.com/repos/huggingface/datasets/issues/2540/events | https://github.com/huggingface/datasets/pull/2540 | 928,433,892 | MDExOlB1bGxSZXF1ZXN0Njc2NDM5NTM1 | 2,540 | Remove task templates if required features are removed during `Dataset.map` | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes a bug reported by @craffel where removing a dataset's columns during `Dataset.map` triggered a `KeyError` because the `TextClassification` template tried to access the removed columns during `DatasetInfo.__post_init__`:
```python
from datasets import load_dataset
# `yelp_polarity` comes with a `Tex... | {
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https://api.github.com/repos/huggingface/datasets/issues/2539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2539/comments | https://api.github.com/repos/huggingface/datasets/issues/2539/events | https://github.com/huggingface/datasets/pull/2539 | 927,952,429 | MDExOlB1bGxSZXF1ZXN0Njc2MDI5MDY5 | 2,539 | remove wi_locness dataset due to licensing issues | {
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} | It was brought to my attention that this dataset's license is not only missing, but also prohibits redistribution. I contacted the original author to apologize for this oversight and asked if we could still use it, but unfortunately we can't and the author kindly asked to take down this dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/2538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2538/comments | https://api.github.com/repos/huggingface/datasets/issues/2538/events | https://github.com/huggingface/datasets/issues/2538 | 927,940,691 | MDU6SXNzdWU5Mjc5NDA2OTE= | 2,538 | Loading partial dataset when debugging | {
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... | [] | open | false | null | [] | null | 11 | 2021-06-23T07:19:52Z | 2023-04-19T11:05:38Z | null | NONE | null | null | null | I am using PyTorch Lightning along with datasets (thanks for so many datasets already prepared and the great splits).
Every time I execute load_dataset for the imdb dataset it takes some time even if I specify a split involving very few samples. I guess this due to hashing as per the other issues.
Is there a wa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2537/comments | https://api.github.com/repos/huggingface/datasets/issues/2537/events | https://github.com/huggingface/datasets/pull/2537 | 927,472,659 | MDExOlB1bGxSZXF1ZXN0Njc1NjI1OTY3 | 2,537 | Add Parquet loader + from_parquet and to_parquet | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Continuation of #2247
I added a "parquet" dataset builder, as well as the methods `Dataset.from_parquet` and `Dataset.to_parquet`.
As usual, the data are converted to arrow in a batched way to avoid loading everything in memory. | {
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https://api.github.com/repos/huggingface/datasets/issues/2536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2536/comments | https://api.github.com/repos/huggingface/datasets/issues/2536/events | https://github.com/huggingface/datasets/issues/2536 | 927,338,639 | MDU6SXNzdWU5MjczMzg2Mzk= | 2,536 | Use `Audio` features for `AutomaticSpeechRecognition` task template | {
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The solution is to use dedicated `Audio` features when casting the dataset. These features are not yet available in ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2535/comments | https://api.github.com/repos/huggingface/datasets/issues/2535/events | https://github.com/huggingface/datasets/pull/2535 | 927,334,349 | MDExOlB1bGxSZXF1ZXN0Njc1NTA3MTAw | 2,535 | Improve Features docs | {
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- Add docstrings to Features methods | {
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https://api.github.com/repos/huggingface/datasets/issues/2534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2534/comments | https://api.github.com/repos/huggingface/datasets/issues/2534/events | https://github.com/huggingface/datasets/pull/2534 | 927,201,435 | MDExOlB1bGxSZXF1ZXN0Njc1MzkzODg0 | 2,534 | Sync with transformers disabling NOTSET | {
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https://api.github.com/repos/huggingface/datasets/issues/2533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2533/comments | https://api.github.com/repos/huggingface/datasets/issues/2533/events | https://github.com/huggingface/datasets/pull/2533 | 927,193,264 | MDExOlB1bGxSZXF1ZXN0Njc1Mzg2OTMw | 2,533 | Add task template for automatic speech recognition | {
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Usage:
```python
from datasets import load_dataset
from datasets.tasks import AutomaticSpeechRecognition
ds = load_dataset("timit_asr", split=... | {
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] | closed | false | null | [] | null | 2 | 2021-06-22T10:08:18Z | 2021-06-23T05:17:25Z | 2021-06-23T05:17:25Z | CONTRIBUTOR | null | null | null | [This colab notebook](https://colab.research.google.com/drive/151gKyo0YIwnlznrOHst23oYH_a3mAe3Z?usp=sharing) implements a token classification input pipeline extending the logic from [this hugging example](https://huggingface.co/transformers/custom_datasets.html#tok-ner).
The pipeline works fine with most instance i... | {
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https://api.github.com/repos/huggingface/datasets/issues/2531 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2531/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2531/comments | https://api.github.com/repos/huggingface/datasets/issues/2531/events | https://github.com/huggingface/datasets/pull/2531 | 927,017,924 | MDExOlB1bGxSZXF1ZXN0Njc1MjM2MDYz | 2,531 | Fix dev version | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The dev version that ends in `.dev0` should be greater than the current version.
However it happens that `1.8.0 > 1.8.0.dev0` for example.
Therefore we need to use `1.8.1.dev0` for example in this case.
I updated the dev version to use `1.8.1.dev0`, and I also added a comment in the setup.py in the release steps a... | {
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https://api.github.com/repos/huggingface/datasets/issues/2530 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2530/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2530/comments | https://api.github.com/repos/huggingface/datasets/issues/2530/events | https://github.com/huggingface/datasets/pull/2530 | 927,013,773 | MDExOlB1bGxSZXF1ZXN0Njc1MjMyNDk0 | 2,530 | Fixed label parsing in the ProductReviews dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/2529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2529/comments | https://api.github.com/repos/huggingface/datasets/issues/2529/events | https://github.com/huggingface/datasets/pull/2529 | 926,378,812 | MDExOlB1bGxSZXF1ZXN0Njc0NjkxNjA5 | 2,529 | Add summarization template | {
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Usage:
```python
from datasets import load_dataset
from datasets.tasks import Summarization
ds = load_dataset(... | {
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In the transformers library you can set the verbosity level to logging.NOTSET to work around the usage of tqdm and IPywidgets, however in Datasets this is no longer possible. This is because transformers set the verbosity level of tqdm with [this](https://github.com/huggingface/transformers/blob/b5... | {
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https://api.github.com/repos/huggingface/datasets/issues/2527 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2527/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2527/comments | https://api.github.com/repos/huggingface/datasets/issues/2527/events | https://github.com/huggingface/datasets/pull/2527 | 926,031,525 | MDExOlB1bGxSZXF1ZXN0Njc0MzkzNjQ5 | 2,527 | Replace bad `n>1M` size tag | {
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This resulted in unexpected results when searching for datasets bigger than 1M on the hub, since it was only showing the ones with the tag `n>1M`. | {
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https://api.github.com/repos/huggingface/datasets/issues/2526 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2526/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2526/comments | https://api.github.com/repos/huggingface/datasets/issues/2526/events | https://github.com/huggingface/datasets/issues/2526 | 925,929,228 | MDU6SXNzdWU5MjU5MjkyMjg= | 2,526 | Add COCO datasets | {
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- **Name:** COCO
- **Description:** COCO is a large-scale object detection, segmentation, and captioning dataset.
- **Paper + website:** https://cocodataset.org/#home
- **Data:** https://cocodataset.org/#download
- **Motivation:** It would be great to have COCO available in HuggingFace datasets... | {
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Note: this affects only TESTS_REQUIRE so I guess only developers not end users. | {
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Dataset: emotion
Homepage: https://github.com/dair-ai/emotion_dataset
Dataset: https://github.com/huggingface/datasets/blob/master/datasets/emotion/emotion.py
Permalink: https://huggingface.co/datasets/viewer/?dataset=emotion
Emotion is a dataset of English Twitter messages with eight b... | {
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] | closed | false | null | [] | null | 1 | 2021-06-18T15:33:57Z | 2023-07-20T13:20:32Z | 2023-07-20T13:20:32Z | MEMBER | null | null | null | I'm collecting a list of datasets here that don't follow the "standard" taxonomy and require further investigation to implement task templates for.
## Text classification
* [hatexplain](https://huggingface.co/datasets/hatexplain): ostensibly a form of text classification, but not in the standard `(text, target)` ... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR adds question-answering templates to the remaining datasets that are linked to a model on the Hub.
Notes:
* I could not test the tydiqa implementation since I don't have enough disk space 😢 . But I am confident the template works :)
* there exist other datasets like `fquad` and `mlqa` which are candida... | {
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] | open | false | null | [] | null | 7 | 2021-06-18T06:47:26Z | 2021-06-23T13:47:49Z | null | NONE | null | null | null | I trained my own tokenizer, and I needed to use a python custom class. Because of this I have to detach the custom step before saving and reattach after restore. I did this using the standard pickle `__get_state__` / `__set_state__` mechanism. I think it's correct but it fails when I use it inside a function which is m... | {
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https://api.github.com/repos/huggingface/datasets/issues/2515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2515/comments | https://api.github.com/repos/huggingface/datasets/issues/2515/events | https://github.com/huggingface/datasets/pull/2515 | 924,435,447 | MDExOlB1bGxSZXF1ZXN0NjczMDc3NTIx | 2,515 | CRD3 dataset card | {
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https://api.github.com/repos/huggingface/datasets/issues/2514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2514/comments | https://api.github.com/repos/huggingface/datasets/issues/2514/events | https://github.com/huggingface/datasets/issues/2514 | 924,417,172 | MDU6SXNzdWU5MjQ0MTcxNzI= | 2,514 | Can datasets remove duplicated rows? | {
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] | open | false | null | [] | null | 10 | 2021-06-17T23:35:38Z | 2024-01-25T14:27:59Z | null | NONE | null | null | null | **Is your feature request related to a problem? Please describe.**
i find myself more and more relying on datasets just to do all the preprocessing. One thing however, for removing duplicated rows, I couldn't find out how and am always converting datasets to pandas to do that..
**Describe the solution you'd like*... | {
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https://api.github.com/repos/huggingface/datasets/issues/2512 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2512/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2512/comments | https://api.github.com/repos/huggingface/datasets/issues/2512/events | https://github.com/huggingface/datasets/issues/2512 | 924,069,353 | MDU6SXNzdWU5MjQwNjkzNTM= | 2,512 | seqeval metric does not work with a recent version of sklearn: classification_report() got an unexpected keyword argument 'output_dict' | {
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] | closed | false | null | [] | null | 1 | 2021-06-17T15:36:02Z | 2021-06-17T15:46:07Z | 2021-06-17T15:46:07Z | NONE | null | null | null | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
from datasets import load_dataset, load_metric
seqeval = load_metric("seqeval")
seqeval.compute(predictions=[['A']], references=[['A']])
```
## Expected results
The function computes a dict with ... | {
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- **Name:** *C4*
- **Description:** *https://github.com/allenai/allennlp/discussions/5056*
- **Paper:** *https://arxiv.org/abs/1910.10683*
- **Data:** *https://huggingface.co/datasets/allenai/c4*
- **Motivation:** *Used a lot for pretraining*
Instructions to add a new dataset can be found [h... | {
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https://api.github.com/repos/huggingface/datasets/issues/2510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2510/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2510/comments | https://api.github.com/repos/huggingface/datasets/issues/2510/events | https://github.com/huggingface/datasets/pull/2510 | 923,735,485 | MDExOlB1bGxSZXF1ZXN0NjcyNDY3MzY3 | 2,510 | Add align_labels_with_mapping to DatasetDict | {
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In this PR I also added `DatasetDict.align_labels_with_mapping` | {
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https://api.github.com/repos/huggingface/datasets/issues/2509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2509/comments | https://api.github.com/repos/huggingface/datasets/issues/2509/events | https://github.com/huggingface/datasets/pull/2509 | 922,846,035 | MDExOlB1bGxSZXF1ZXN0NjcxNjcyMzU5 | 2,509 | Fix fingerprint when moving cache dir | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The fingerprint of a dataset changes if the cache directory is moved.
I fixed that by setting the fingerprint to be the hash of:
- the relative cache dir (dataset_name/version/config_id)
- the requested split
Close #2496
I had to fix an issue with the filelock filename that was too long (>255). It prevented t... | {
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Yes - we would like to load an image classification dataset with datasets without having to write a custom data loader.
**Describe the solution you'd like**
Given a folder structure with images of each class in each folder, the ability to load th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2507/comments | https://api.github.com/repos/huggingface/datasets/issues/2507/events | https://github.com/huggingface/datasets/pull/2507 | 921,441,962 | MDExOlB1bGxSZXF1ZXN0NjcwNDQ0MDgz | 2,507 | Rearrange JSON field names to match passed features schema field names | {
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Close #2366. | {
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https://api.github.com/repos/huggingface/datasets/issues/2505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2505/comments | https://api.github.com/repos/huggingface/datasets/issues/2505/events | https://github.com/huggingface/datasets/pull/2505 | 921,234,797 | MDExOlB1bGxSZXF1ZXN0NjcwMjY2NjQy | 2,505 | Make numpy arrow extractor faster | {
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This could make the numpy/torch/tf/jax formatting faster | {
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https://api.github.com/repos/huggingface/datasets/issues/2503 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2503/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2503/comments | https://api.github.com/repos/huggingface/datasets/issues/2503/events | https://github.com/huggingface/datasets/issues/2503 | 920,636,186 | MDU6SXNzdWU5MjA2MzYxODY= | 2,503 | SubjQA wrong boolean values in entries | {
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SubjQA seems to have a boolean that's consistently wrong.
It defines:
- question_subj_level: The subjectiviy level of the question (on a 1 to 5 scale with 1 being the most subjective).
- is_ques_subjective: A boolean subjectivity label derived from question_subj_level (i.e., scores below 4 are... | {
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https://api.github.com/repos/huggingface/datasets/issues/2502 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2502/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2502/comments | https://api.github.com/repos/huggingface/datasets/issues/2502/events | https://github.com/huggingface/datasets/pull/2502 | 920,623,572 | MDExOlB1bGxSZXF1ZXN0NjY5NzQ1MDA5 | 2,502 | JAX integration | {
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I just added the "jax" formatting, as we already have for pytorch, tensorflow, numpy (and also pandas and arrow).
It does pretty much the same thing as the pytorch formatter except it creates jax.numpy.ndarray objects.
```python
from datasets import Dataset
d = Dataset.from_dict({"foo": [[0., 1., 2.]]})... | {
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https://api.github.com/repos/huggingface/datasets/issues/2501 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2501/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2501/comments | https://api.github.com/repos/huggingface/datasets/issues/2501/events | https://github.com/huggingface/datasets/pull/2501 | 920,579,634 | MDExOlB1bGxSZXF1ZXN0NjY5NzA3Nzc0 | 2,501 | Add Zenodo metadata file with license | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This Zenodo metadata file fixes the name of the `Datasets` license appearing in the DOI as `"Apache-2.0"`, which otherwise by default is `"other-open"`.
Close #2472. | {
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https://api.github.com/repos/huggingface/datasets/issues/2500 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2500/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2500/comments | https://api.github.com/repos/huggingface/datasets/issues/2500/events | https://github.com/huggingface/datasets/pull/2500 | 920,471,411 | MDExOlB1bGxSZXF1ZXN0NjY5NjE2MjQ1 | 2,500 | Add load_dataset_builder | {
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TODOs:
- [x] Add docstring and entry in the docs
- [x] Add tests
Closes #2484
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- **Name:** Python Programming Puzzles
- **Description:** Programming challenge called programming puzzles, as an objective and comprehensive evaluation of program synthesis
- **Paper:** https://arxiv.org/pdf/2106.05784.pdf
- **Data:** https://github.com/microsoft/PythonProgrammingPuzzles ([Scro... | {
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It would be great, if possible, to further improve read performance of raw encoded datasets and their subsequent conversion to torch tensors.
A bit more background. I am working on LM pre-training using HF ecosystem. We use encoded HF Wikipedia an... | {
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This PR uses default pyarrow cast in Datasets to cast sliced list arrays if pyarrow version is >= 4.
In relation with PR #2461 and #2490.
cc: @lhoestq, @abhi1thakur, @SBrandeis | {
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However the fingerprint seems to change when someone moves the cache directory of the dataset.
This is because it uses the default fingerprint generation:
1. the dataset path is used to get the fingerprint
2. the modification times of the arrow file... | {
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- How to make datasets the fastest
- How to make datasets take the less RAM
- How to make datasets take the less hard drive mem
cc: @thomwolf
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Here is my PR for the text classification dataset in Mongolian.
Please do let me know in case you have anything to clarify.
Thanks & Regards,
Enod | {
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Close #2489. | {
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- version 4.0.1 was released on 19 May 2021 with the bug fix | {
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} | Hi there!
I'm wanting to add the Rico datasets for software engineering type data to y'alls awesome library. However, as I have started coding, I've ran into a few hiccups so I thought it best to open the PR early to get a bit of discussion on how the Rico datasets should be added to the `datasets` lib.
1) There ... | {
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> My suggestion for this would be to have this enabled by default.
>
> Plus I don't know if there should be a dedicated issue to that is another functionality. But I propose layered b... | {
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... | null | 1 | 2021-06-11T18:47:22Z | 2021-07-05T10:45:57Z | 2021-07-05T10:45:57Z | MEMBER | null | null | null | As discussed with @stas00 and @lhoestq, this would allow things like:
```python
from datasets import load_dataset_builder
dataset_name = "openwebtext"
builder = load_dataset_builder(dataset_name)
print(builder.cache_dir)
``` | {
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However calling gc.collect too often causes significant slow downs (the CI run time doubled).
So I just m... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | We used to have permission errors on windows whith the latest versions of tqdm (see [here](https://app.circleci.com/pipelines/github/huggingface/datasets/6365/workflows/24f7c960-3176-43a5-9652-7830a23a981e/jobs/39232))
They were due to open arrow files not properly closed by pyarrow.
Since https://github.com/huggin... | {
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TODO:
- [x] Set configurable extracted datasets path: #2487
- [x] Set configurable downloaded datasets path: #2488
- [ ] Set configurable "incomplete" datasets path? | {
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https://api.github.com/repos/huggingface/datasets/issues/2477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2477/comments | https://api.github.com/repos/huggingface/datasets/issues/2477/events | https://github.com/huggingface/datasets/pull/2477 | 918,334,431 | MDExOlB1bGxSZXF1ZXN0NjY3NzczMTY0 | 2,477 | Fix docs custom stable version | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Currently docs default version is 1.5.0. This PR fixes this and sets the latest version instead. | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Dataset: https://github.com/google-research-datasets/TimeDial
To-Do: Update README.md and add YAML tags | {
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https://api.github.com/repos/huggingface/datasets/issues/2475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2475/comments | https://api.github.com/repos/huggingface/datasets/issues/2475/events | https://github.com/huggingface/datasets/issues/2475 | 917,650,882 | MDU6SXNzdWU5MTc2NTA4ODI= | 2,475 | Issue in timit_asr database | {
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I am trying to load the timit_asr dataset however only the first record is shown (duplicated over all the rows).
I am using the next code line
dataset = load_dataset(“timit_asr”, split=“test”).shuffle().select(range(10))
The above code result with the same sentence duplicated ten times.
It al... | {
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https://api.github.com/repos/huggingface/datasets/issues/2474 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2474/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2474/comments | https://api.github.com/repos/huggingface/datasets/issues/2474/events | https://github.com/huggingface/datasets/issues/2474 | 917,622,055 | MDU6SXNzdWU5MTc2MjIwNTU= | 2,474 | cache_dir parameter for load_from_disk ? | {
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When using Google Colab big datasets can be an issue, as they won't fit on the VM's disk. Therefore mounting google drive could be a possible solution. Unfortunatly when loading my own dataset by using the _load_from_disk_ function, the data gets cache... | {
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https://api.github.com/repos/huggingface/datasets/issues/2473 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2473/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2473/comments | https://api.github.com/repos/huggingface/datasets/issues/2473/events | https://github.com/huggingface/datasets/pull/2473 | 917,538,629 | MDExOlB1bGxSZXF1ZXN0NjY3MDU5MjI5 | 2,473 | Add Disfl-QA | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Dataset: https://github.com/google-research-datasets/disfl-qa
To-Do: Update README.md and add YAML tags | {
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https://api.github.com/repos/huggingface/datasets/issues/2472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2472/comments | https://api.github.com/repos/huggingface/datasets/issues/2472/events | https://github.com/huggingface/datasets/issues/2472 | 917,463,821 | MDU6SXNzdWU5MTc0NjM4MjE= | 2,472 | Fix automatic generation of Zenodo DOI | {
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I have contacted Zenodo support to fix this issue.
TODO:
- [x] Check with Zenodo to fix the issue
- [x] Check BibTeX entry is right | {
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https://api.github.com/repos/huggingface/datasets/issues/2471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2471/comments | https://api.github.com/repos/huggingface/datasets/issues/2471/events | https://github.com/huggingface/datasets/issues/2471 | 917,067,165 | MDU6SXNzdWU5MTcwNjcxNjU= | 2,471 | Fix PermissionError on Windows when using tqdm >=4.50.0 | {
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```
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process
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https://api.github.com/repos/huggingface/datasets/issues/2470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2470/comments | https://api.github.com/repos/huggingface/datasets/issues/2470/events | https://github.com/huggingface/datasets/issues/2470 | 916,724,260 | MDU6SXNzdWU5MTY3MjQyNjA= | 2,470 | Crash when `num_proc` > dataset length for `map()` on a `datasets.Dataset`. | {
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Crash if when using `num_proc` > 1 (I used 16) for `map()` on a `datasets.Dataset`.
I believe I've had cases where `num_proc` > 1 works before, but now it seems either inconsistent, or depends on my data. I'm not sure whether the issue is on my end, because it's difficult for me to debug! Any ti... | {
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https://api.github.com/repos/huggingface/datasets/issues/2466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2466/comments | https://api.github.com/repos/huggingface/datasets/issues/2466/events | https://github.com/huggingface/datasets/pull/2466 | 915,914,098 | MDExOlB1bGxSZXF1ZXN0NjY1NjY1MjQy | 2,466 | change udpos features structure | {
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The change is done for issues:
#2061
#2444
Close #2061 , close #2444. | {
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@lhoestq , can you please review | {
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https://api.github.com/repos/huggingface/datasets/issues/2464 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2464/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2464/comments | https://api.github.com/repos/huggingface/datasets/issues/2464/events | https://github.com/huggingface/datasets/pull/2464 | 915,485,601 | MDExOlB1bGxSZXF1ZXN0NjY1Mjk1MDE5 | 2,464 | fix: adjusting indexing for the labels. | {
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After this change, the `README.md` now reflects the content of `dataset_infos.json`.
Signed-off-by: Matteo Manica <drugilsberg@gmail.com> | {
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https://api.github.com/repos/huggingface/datasets/issues/2463 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2463/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2463/comments | https://api.github.com/repos/huggingface/datasets/issues/2463/events | https://github.com/huggingface/datasets/pull/2463 | 915,454,788 | MDExOlB1bGxSZXF1ZXN0NjY1MjY3NTA2 | 2,463 | Fix proto_qa download link | {
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Instead of updating the path, this PR fixes a commit hash as suggested by @lhoestq. | {
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https://api.github.com/repos/huggingface/datasets/issues/2462 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2462/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2462/comments | https://api.github.com/repos/huggingface/datasets/issues/2462/events | https://github.com/huggingface/datasets/issues/2462 | 915,384,613 | MDU6SXNzdWU5MTUzODQ2MTM= | 2,462 | Merge DatasetDict and Dataset | {
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"followers_url": "https://api.github.com/users/albertvillano... | 2 | 2021-06-08T19:22:04Z | 2023-08-16T09:34:34Z | null | MEMBER | null | null | null | As discussed in #2424 and #2437 (please see there for detailed conversation):
- It would be desirable to improve UX with respect the confusion between DatasetDict and Dataset.
- The difference between Dataset and DatasetDict is an additional abstraction complexity that confuses "typical" end users.
- A user expects... | {
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https://api.github.com/repos/huggingface/datasets/issues/2461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2461/comments | https://api.github.com/repos/huggingface/datasets/issues/2461/events | https://github.com/huggingface/datasets/pull/2461 | 915,286,150 | MDExOlB1bGxSZXF1ZXN0NjY1MTE3MTY4 | 2,461 | Support sliced list arrays in cast | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | There is this issue in pyarrow:
```python
import pyarrow as pa
arr = pa.array([[i * 10] for i in range(4)])
arr.cast(pa.list_(pa.int32())) # works
arr = arr.slice(1)
arr.cast(pa.list_(pa.int32())) # fails
# ArrowNotImplementedError("Casting sliced lists (non-zero offset) not yet implemented")
```
Howev... | {
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https://api.github.com/repos/huggingface/datasets/issues/2460 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2460/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2460/comments | https://api.github.com/repos/huggingface/datasets/issues/2460/events | https://github.com/huggingface/datasets/pull/2460 | 915,268,536 | MDExOlB1bGxSZXF1ZXN0NjY1MTAyMjA4 | 2,460 | Revert default in-memory for small datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/2459 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2459/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2459/comments | https://api.github.com/repos/huggingface/datasets/issues/2459/events | https://github.com/huggingface/datasets/issues/2459 | 915,222,015 | MDU6SXNzdWU5MTUyMjIwMTU= | 2,459 | `Proto_qa` hosting seems to be broken | {
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The hosting (on Github) of the `proto_qa` dataset seems broken. I haven't investigated more yet, just flagging it for now.
@zaidalyafeai if you want to dive into it, I think it's just a matter of changing the links in `proto_qa.py`
## Steps to reproduce the bug
```python
from datasets impo... | {
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We see 2 clear use cases of Datasets:
- the "canonical" way, where you can work with very large datasets, as they are memory-mapped and cached (after every transformation)
- some edge cases (speed benchmarks, inter... | {
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https://api.github.com/repos/huggingface/datasets/issues/2457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2457/comments | https://api.github.com/repos/huggingface/datasets/issues/2457/events | https://github.com/huggingface/datasets/pull/2457 | 915,079,441 | MDExOlB1bGxSZXF1ZXN0NjY0OTQwMzQ0 | 2,457 | Add align_labels_with_mapping function | {
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This will help us with the Hub evaluation, where we won't know in advance whether a model that... | {
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https://api.github.com/repos/huggingface/datasets/issues/2455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2455/comments | https://api.github.com/repos/huggingface/datasets/issues/2455/events | https://github.com/huggingface/datasets/pull/2455 | 914,177,468 | MDExOlB1bGxSZXF1ZXN0NjY0MTEzNjg2 | 2,455 | Update version in xor_tydi_qa.py | {
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@lhoestq Should I revert to the old `dummy/1.0.0` or delete it and keep only `dummy/1.1.0`? | {
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https://api.github.com/repos/huggingface/datasets/issues/2454 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2454/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2454/comments | https://api.github.com/repos/huggingface/datasets/issues/2454/events | https://github.com/huggingface/datasets/pull/2454 | 913,883,631 | MDExOlB1bGxSZXF1ZXN0NjYzODUyODU1 | 2,454 | Rename config and environment variable for in memory max size | {
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cc: @stas00, huggingface/transformers#12056 | {
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https://api.github.com/repos/huggingface/datasets/issues/2453 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2453/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2453/comments | https://api.github.com/repos/huggingface/datasets/issues/2453/events | https://github.com/huggingface/datasets/pull/2453 | 913,729,258 | MDExOlB1bGxSZXF1ZXN0NjYzNzE3NTk2 | 2,453 | Keep original features order | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | When loading a Dataset from a JSON file whose column names are not sorted alphabetically, we should get the same column name order, whether we pass features (in the same order as in the file) or not.
I found this issue while working on #2366. | {
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https://api.github.com/repos/huggingface/datasets/issues/2452 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2452/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2452/comments | https://api.github.com/repos/huggingface/datasets/issues/2452/events | https://github.com/huggingface/datasets/issues/2452 | 913,603,877 | MDU6SXNzdWU5MTM2MDM4Nzc= | 2,452 | MRPC test set differences between torch and tensorflow datasets | {
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] | closed | false | null | [] | null | 1 | 2021-06-07T14:20:26Z | 2021-06-07T14:34:32Z | 2021-06-07T14:34:32Z | NONE | null | null | null | ## Describe the bug
When using `load_dataset("glue", "mrpc")` to load the MRPC dataset, the test set includes the labels. When using `tensorflow_datasets.load('glue/{}'.format('mrpc'))` to load the dataset the test set does not contain the labels. There should be consistency between torch and tensorflow ways of import... | {
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