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```
[2021-07-10 20:13:11,528][datasets.utils.filelock][INFO] - Lock 139705371374976 acquired on /root/.cache/huggingface/metrics/seqeval/default/default_experiment-1-0.arrow.lock
[2021-07-10 20:13:11,529][datasets.arrow_writer][INFO] - Done writing 32 examples in 6100 bytes /root/.cache/huggingfa... | {
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This pull request adds combine metrics for the wikisplit or English sentence split task
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Facebook recently launched a library, [AugLy](https://github.com/facebookresearch/AugLy) , that has a unified API for augmentations for image, video and text.
It would be pretty exciting to have it hooked up to HF libraries so that we can make NLP m... | {
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See: https://docs.microsoft.com/en-us/windows/win32/fileio/naming-a-file?redirectedfrom=MSDN#win32-file-namespaces
Related to #2524, #2220. | {
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https://api.github.com/repos/huggingface/datasets/issues/2620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2620/comments | https://api.github.com/repos/huggingface/datasets/issues/2620/events | https://github.com/huggingface/datasets/pull/2620 | 940,893,389 | MDExOlB1bGxSZXF1ZXN0Njg2ODk3MDky | 2,620 | Add speech processing tasks | {
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The tasks associated with this category are derived from the [SUPERB benchmark](https://arxiv.org/abs/2105.01051), and ASR is included in this set. | {
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https://api.github.com/repos/huggingface/datasets/issues/2619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2619/comments | https://api.github.com/repos/huggingface/datasets/issues/2619/events | https://github.com/huggingface/datasets/pull/2619 | 940,858,236 | MDExOlB1bGxSZXF1ZXN0Njg2ODY3NDA4 | 2,619 | Add ASR task for SUPERB | {
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"followers_url": "https://api.github.com/... | 3 | 2021-07-09 15:19:45+00:00 | 2021-07-15 08:55:58+00:00 | 2021-07-13 12:40:18+00:00 | MEMBER | null | null | null | null | This PR starts building up the SUPERB benchmark by including the ASR task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/v0.2.0/downstream#asr-automatic-speech-recognition).
Usage:
```python
from datasets import load_dataset
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https://api.github.com/repos/huggingface/datasets/issues/2618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2618/comments | https://api.github.com/repos/huggingface/datasets/issues/2618/events | https://github.com/huggingface/datasets/issues/2618 | 940,852,640 | MDU6SXNzdWU5NDA4NTI2NDA= | 2,618 | `filelock.py` Error | {
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} | ## Describe the bug
It seems that the `filelock.py` went error.
```
>>> ds=load_dataset('xsum')
^CTraceback (most recent call last):
File "/user/HS502/yl02706/.conda/envs/lyc/lib/python3.6/site-packages/datasets/utils/filelock.py", line 402, in _acquire
fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
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https://api.github.com/repos/huggingface/datasets/issues/2617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2617/comments | https://api.github.com/repos/huggingface/datasets/issues/2617/events | https://github.com/huggingface/datasets/pull/2617 | 940,846,847 | MDExOlB1bGxSZXF1ZXN0Njg2ODU3NzQz | 2,617 | Fix missing EOL issue in to_json for old versions of pandas | {
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Therefore users could end up having two samples in the same line
Close https://github.com/huggingface/datasets/issues/2615 | {
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https://api.github.com/repos/huggingface/datasets/issues/2616 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2616/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2616/comments | https://api.github.com/repos/huggingface/datasets/issues/2616/events | https://github.com/huggingface/datasets/pull/2616 | 940,799,038 | MDExOlB1bGxSZXF1ZXN0Njg2ODE3NjYz | 2,616 | Support remote data files | {
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"followers_url": "https://api.github.com/... | 2 | 2021-07-09 14:07:38+00:00 | 2021-07-09 16:13:41+00:00 | 2021-07-09 16:13:41+00:00 | MEMBER | null | null | null | null | Add support for (streaming) remote data files:
```python
data_files = f"https://huggingface.co/datasets/{repo_id}/resolve/main/{relative_file_path}"
ds = load_dataset("json", split="train", data_files=data_files, streaming=True)
```
cc: @thomwolf | {
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https://api.github.com/repos/huggingface/datasets/issues/2615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2615/comments | https://api.github.com/repos/huggingface/datasets/issues/2615/events | https://github.com/huggingface/datasets/issues/2615 | 940,794,339 | MDU6SXNzdWU5NDA3OTQzMzk= | 2,615 | Jsonlines export error | {
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} | ## Describe the bug
When exporting large datasets in jsonlines (c4 in my case) the created file has an error every 9999 lines: the 9999th and 10000th are concatenated, thus breaking the jsonlines format. This sounds like it is related to batching, which is by 10000 by default
## Steps to reproduce the bug
This wha... | {
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Judging from the `numpy` docs, `ndarray.item` is closer to what we want: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.item.html#nump... | {
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The reason behind this is that our Hub evaluation framework relies on converting benchmark-specific metrics to YAML ([example](https://huggingface.co/datasets/autonlp/autonlp-benchmark-raft-neelalex__raft-test-... | {
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https://api.github.com/repos/huggingface/datasets/issues/2610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2610/comments | https://api.github.com/repos/huggingface/datasets/issues/2610/events | https://github.com/huggingface/datasets/pull/2610 | 939,899,829 | MDExOlB1bGxSZXF1ZXN0Njg2MDUwMzI5 | 2,610 | Add missing WikiANN language tags | {
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https://api.github.com/repos/huggingface/datasets/issues/2609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2609/comments | https://api.github.com/repos/huggingface/datasets/issues/2609/events | https://github.com/huggingface/datasets/pull/2609 | 939,616,682 | MDExOlB1bGxSZXF1ZXN0Njg1ODA3MTMz | 2,609 | Fix potential DuplicatedKeysError | {
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We should promote as a good practice, that the keys should be programmatically generated as unique, instead of read from data (which might be not unique). | {
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https://api.github.com/repos/huggingface/datasets/issues/2608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2608/comments | https://api.github.com/repos/huggingface/datasets/issues/2608/events | https://github.com/huggingface/datasets/pull/2608 | 938,897,626 | MDExOlB1bGxSZXF1ZXN0Njg1MjAwMDYw | 2,608 | Support streaming JSON files | {
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Close #2607. | {
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https://api.github.com/repos/huggingface/datasets/issues/2607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2607/comments | https://api.github.com/repos/huggingface/datasets/issues/2607/events | https://github.com/huggingface/datasets/issues/2607 | 938,796,902 | MDU6SXNzdWU5Mzg3OTY5MDI= | 2,607 | Streaming local gzip compressed JSON line files is not working | {
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Using streaming to iterate on local gzip compressed JSON files raise a file not exist error
## Steps to reproduce the bug
```python
from datasets import load_dataset
streamed_dataset = load_dataset('json', split='train', data_files=data_files, streaming=True)
next(iter(streamed_dataset))... | {
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} | **Is your feature request related to a problem? Please describe.**
While training the model on sentence split the task in English we require to evaluate the trained model on `Exact Match`, `SARI` and `BLEU` score
like this
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```python
aiohttp.client_exceptions.ClientOSError: [Errno 104] Connection reset by peer
```
This error must trigger a retry instead of directly crashing
Therefore I extended the error type that triggers the retry to be the base aiohttp er... | {
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https://api.github.com/repos/huggingface/datasets/issues/2604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2604/comments | https://api.github.com/repos/huggingface/datasets/issues/2604/events | https://github.com/huggingface/datasets/issues/2604 | 938,602,237 | MDU6SXNzdWU5Mzg2MDIyMzc= | 2,604 | Add option to delete temporary files (e.g. extracted files) when loading dataset | {
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When loading the dataset with the JSON script, extracting the files create about 200 GB of uncompressed files before creating the 180GB of arrow cache tables
Having a simple way to delete the extracted files after usage (or even better, to strea... | {
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https://api.github.com/repos/huggingface/datasets/issues/2603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2603/comments | https://api.github.com/repos/huggingface/datasets/issues/2603/events | https://github.com/huggingface/datasets/pull/2603 | 938,588,149 | MDExOlB1bGxSZXF1ZXN0Njg0OTQ0ODcz | 2,603 | Fix DuplicatedKeysError in omp | {
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https://api.github.com/repos/huggingface/datasets/issues/2602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2602/comments | https://api.github.com/repos/huggingface/datasets/issues/2602/events | https://github.com/huggingface/datasets/pull/2602 | 938,555,712 | MDExOlB1bGxSZXF1ZXN0Njg0OTE5MjMy | 2,602 | Remove import of transformers | {
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"followers_url": "https://api.github.com/... | 0 | 2021-07-07 06:58:18+00:00 | 2021-07-12 14:10:22+00:00 | 2021-07-07 08:28:51+00:00 | MEMBER | null | null | null | null | When pickling a tokenizer within multiprocessing, check that is instance of transformers PreTrainedTokenizerBase without importing transformers.
Related to huggingface/transformers#12549 and #502. | {
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https://api.github.com/repos/huggingface/datasets/issues/2601 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2601/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2601/comments | https://api.github.com/repos/huggingface/datasets/issues/2601/events | https://github.com/huggingface/datasets/pull/2601 | 938,096,396 | MDExOlB1bGxSZXF1ZXN0Njg0NTQyNjY5 | 2,601 | Fix `filter` with multiprocessing in case all samples are discarded | {
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"followers_url": "https://api.github.com/... | 0 | 2021-07-06 17:06:28+00:00 | 2021-07-12 14:10:35+00:00 | 2021-07-07 12:50:31+00:00 | CONTRIBUTOR | null | null | null | null | Fixes #2600
Also I moved the check for `num_proc` larger than dataset size added in #2566 up so that multiprocessing is not used with one process. | {
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https://api.github.com/repos/huggingface/datasets/issues/2600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2600/comments | https://api.github.com/repos/huggingface/datasets/issues/2600/events | https://github.com/huggingface/datasets/issues/2600 | 938,086,745 | MDU6SXNzdWU5MzgwODY3NDU= | 2,600 | Crash when using multiprocessing (`num_proc` > 1) on `filter` and all samples are discarded | {
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If `filter` is applied to a dataset using multiprocessing (`num_proc` > 1) and all sharded datasets are empty afterwards (due to all samples being discarded), the program crashes.
## Steps to reproduce the bug
```python
from datasets import Dataset
data = Dataset.from_dict({'id': [0,1]})
dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/2599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2599/comments | https://api.github.com/repos/huggingface/datasets/issues/2599/events | https://github.com/huggingface/datasets/pull/2599 | 937,980,229 | MDExOlB1bGxSZXF1ZXN0Njg0NDQ2MTYx | 2,599 | Update processing.rst with other export formats | {
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https://api.github.com/repos/huggingface/datasets/issues/2598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2598/comments | https://api.github.com/repos/huggingface/datasets/issues/2598/events | https://github.com/huggingface/datasets/issues/2598 | 937,930,632 | MDU6SXNzdWU5Mzc5MzA2MzI= | 2,598 | Unable to download omp dataset | {
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The omp dataset cannot be downloaded because of a DuplicatedKeysError
## Steps to reproduce the bug
from datasets import load_dataset
omp = load_dataset('omp', 'posts_labeled')
print(omp)
## Expected results
This code should download the omp dataset and print the dictionary
## Actual r... | {
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https://api.github.com/repos/huggingface/datasets/issues/2597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2597/comments | https://api.github.com/repos/huggingface/datasets/issues/2597/events | https://github.com/huggingface/datasets/pull/2597 | 937,917,770 | MDExOlB1bGxSZXF1ZXN0Njg0Mzk0MDIz | 2,597 | Remove redundant prepare_module | {
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https://api.github.com/repos/huggingface/datasets/issues/2596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2596/comments | https://api.github.com/repos/huggingface/datasets/issues/2596/events | https://github.com/huggingface/datasets/issues/2596 | 937,598,914 | MDU6SXNzdWU5Mzc1OTg5MTQ= | 2,596 | Transformer Class on dataset | {
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] | closed | false | null | [] | null | 9 | 2021-07-06 07:27:15+00:00 | 2022-11-02 14:26:09+00:00 | 2022-11-02 14:26:09+00:00 | NONE | null | null | {
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TransformerClass :
dataset --> dataset
and make determnistic transformation (ie not fit).
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https://api.github.com/repos/huggingface/datasets/issues/2595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2595/comments | https://api.github.com/repos/huggingface/datasets/issues/2595/events | https://github.com/huggingface/datasets/issues/2595 | 937,483,120 | MDU6SXNzdWU5Mzc0ODMxMjA= | 2,595 | ModuleNotFoundError: No module named 'datasets.tasks' while importing common voice datasets | {
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---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-8-a7b592d3bca0> in <module>()
1 from datasets import load_dataset, load_metric
2
----> 3 common_voice_train = load_da... | {
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https://api.github.com/repos/huggingface/datasets/issues/2594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2594/comments | https://api.github.com/repos/huggingface/datasets/issues/2594/events | https://github.com/huggingface/datasets/pull/2594 | 937,294,772 | MDExOlB1bGxSZXF1ZXN0NjgzODc0NjIz | 2,594 | Fix BibTeX entry | {
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https://api.github.com/repos/huggingface/datasets/issues/2593 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2593/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2593/comments | https://api.github.com/repos/huggingface/datasets/issues/2593/events | https://github.com/huggingface/datasets/pull/2593 | 937,242,137 | MDExOlB1bGxSZXF1ZXN0NjgzODMwMjcy | 2,593 | Support pandas 1.3.0 read_csv | {
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The csv reader raises an error:
```python
/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/readers.py in _refine_defaults_read(dialect, delimiter, delim_whitespace, engine, sep, error_bad_lines, warn_bad_lines, on... | {
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https://api.github.com/repos/huggingface/datasets/issues/2592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2592/comments | https://api.github.com/repos/huggingface/datasets/issues/2592/events | https://github.com/huggingface/datasets/pull/2592 | 937,060,559 | MDExOlB1bGxSZXF1ZXN0NjgzNjc2MjA4 | 2,592 | Add c4.noclean infos | {
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https://api.github.com/repos/huggingface/datasets/issues/2591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2591/comments | https://api.github.com/repos/huggingface/datasets/issues/2591/events | https://github.com/huggingface/datasets/issues/2591 | 936,957,975 | MDU6SXNzdWU5MzY5NTc5NzU= | 2,591 | Cached dataset overflowing disk space | {
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} | I'm training a Swedish Wav2vec2 model on a Linux GPU and having issues that the huggingface cached dataset folder is completely filling up my disk space (I'm training on a dataset of around 500 gb).
The cache folder is 500gb (and now my disk space is full).
Is there a way to toggle caching or set the caching to b... | {
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https://api.github.com/repos/huggingface/datasets/issues/2590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2590/comments | https://api.github.com/repos/huggingface/datasets/issues/2590/events | https://github.com/huggingface/datasets/pull/2590 | 936,954,348 | MDExOlB1bGxSZXF1ZXN0NjgzNTg1MDg2 | 2,590 | Add language tags | {
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https://api.github.com/repos/huggingface/datasets/issues/2589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2589/comments | https://api.github.com/repos/huggingface/datasets/issues/2589/events | https://github.com/huggingface/datasets/pull/2589 | 936,825,060 | MDExOlB1bGxSZXF1ZXN0NjgzNDc0OTQ0 | 2,589 | Support multilabel metrics | {
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This PR creates a new feature type `OptionalSequence` which can act as either `Value("int32")` or `Sequence(Value("int32"))`, depending on the data passed.
Close #2554. | {
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https://api.github.com/repos/huggingface/datasets/issues/2588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2588/comments | https://api.github.com/repos/huggingface/datasets/issues/2588/events | https://github.com/huggingface/datasets/pull/2588 | 936,795,541 | MDExOlB1bGxSZXF1ZXN0NjgzNDQ5Njky | 2,588 | Fix test_is_small_dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/2587 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2587/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2587/comments | https://api.github.com/repos/huggingface/datasets/issues/2587/events | https://github.com/huggingface/datasets/pull/2587 | 936,771,339 | MDExOlB1bGxSZXF1ZXN0NjgzNDI5NjQy | 2,587 | Add aiohttp to tests extras require | {
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Our CI test suite should be exhaustive and test all the library functionalities. | {
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https://api.github.com/repos/huggingface/datasets/issues/2586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2586/comments | https://api.github.com/repos/huggingface/datasets/issues/2586/events | https://github.com/huggingface/datasets/pull/2586 | 936,747,588 | MDExOlB1bGxSZXF1ZXN0NjgzNDEwMDU3 | 2,586 | Fix misalignment in SQuAD | {
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"followers_url": "https://api.github.com/... | 0 | 2021-07-05 06:42:20+00:00 | 2021-07-12 14:11:10+00:00 | 2021-07-07 13:18:51+00:00 | MEMBER | null | null | null | null | Fix misalignment between:
- the answer text and
- the answer_start within the context
by keeping original leading blank spaces in the context.
Fix #2585. | {
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https://api.github.com/repos/huggingface/datasets/issues/2585 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2585/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2585/comments | https://api.github.com/repos/huggingface/datasets/issues/2585/events | https://github.com/huggingface/datasets/issues/2585 | 936,484,419 | MDU6SXNzdWU5MzY0ODQ0MTk= | 2,585 | sqaud_v2 dataset contains misalignment between the answer text and the context value at the answer index | {
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} | ## Describe the bug
The built in huggingface squad_v2 dataset that you can access via datasets.load_dataset contains mis-alignment between the answers['text'] and the characters in the context at the location specified by answers['answer_start'].
For example:
id = '56d1f453e7d4791d009025bd'
answers = {'text': ['P... | {
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https://api.github.com/repos/huggingface/datasets/issues/2584 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2584/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2584/comments | https://api.github.com/repos/huggingface/datasets/issues/2584/events | https://github.com/huggingface/datasets/pull/2584 | 936,049,736 | MDExOlB1bGxSZXF1ZXN0NjgyODY2Njc1 | 2,584 | wi_locness: reference latest leaderboard on codalab | {
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https://api.github.com/repos/huggingface/datasets/issues/2583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2583/comments | https://api.github.com/repos/huggingface/datasets/issues/2583/events | https://github.com/huggingface/datasets/issues/2583 | 936,034,976 | MDU6SXNzdWU5MzYwMzQ5NzY= | 2,583 | Error iteration over IterableDataset using Torch DataLoader | {
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} | ## Describe the bug
I have an IterableDataset (created using streaming=True) and I am trying to create batches using Torch DataLoader class by passing this IterableDataset to it. This throws error which is pasted below. I can do the same by using Torch IterableDataset. One thing I noticed is that in the former case wh... | {
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https://api.github.com/repos/huggingface/datasets/issues/2582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2582/comments | https://api.github.com/repos/huggingface/datasets/issues/2582/events | https://github.com/huggingface/datasets/pull/2582 | 935,859,104 | MDExOlB1bGxSZXF1ZXN0NjgyNzAzNzg3 | 2,582 | Add skip and take | {
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You can create new dataset with the first `n` examples using `IterableDataset.take()`, or you can get a... | {
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https://api.github.com/repos/huggingface/datasets/issues/2581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2581/comments | https://api.github.com/repos/huggingface/datasets/issues/2581/events | https://github.com/huggingface/datasets/pull/2581 | 935,783,588 | MDExOlB1bGxSZXF1ZXN0NjgyNjQwMDY4 | 2,581 | Faster search_batch for ElasticsearchIndex due to threading | {
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I think it makes sense to perform search_batch threaded, so ES can perform search in parallel.
Cheers! | {
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https://api.github.com/repos/huggingface/datasets/issues/2580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2580/comments | https://api.github.com/repos/huggingface/datasets/issues/2580/events | https://github.com/huggingface/datasets/pull/2580 | 935,767,421 | MDExOlB1bGxSZXF1ZXN0NjgyNjI2MTkz | 2,580 | Fix Counter import | {
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https://api.github.com/repos/huggingface/datasets/issues/2579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2579/comments | https://api.github.com/repos/huggingface/datasets/issues/2579/events | https://github.com/huggingface/datasets/pull/2579 | 935,486,894 | MDExOlB1bGxSZXF1ZXN0NjgyMzkyNjYx | 2,579 | Fix BibTeX entry | {
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cc: @abhishekkrthakur @thomwolf | {
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https://api.github.com/repos/huggingface/datasets/issues/2578 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2578/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2578/comments | https://api.github.com/repos/huggingface/datasets/issues/2578/events | https://github.com/huggingface/datasets/pull/2578 | 935,187,497 | MDExOlB1bGxSZXF1ZXN0NjgyMTQ0OTY2 | 2,578 | Support Zstandard compressed files | {
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cc: @thomwolf | {
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https://api.github.com/repos/huggingface/datasets/issues/2576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2576/comments | https://api.github.com/repos/huggingface/datasets/issues/2576/events | https://github.com/huggingface/datasets/pull/2576 | 934,986,761 | MDExOlB1bGxSZXF1ZXN0NjgxOTc5MTA1 | 2,576 | Add mC4 | {
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Thanks a lot to them !
In this PR I added the mC4 dataset builder. It supports 108 languages
You can load it with
```python
from datasets import load_dataset
en_mc4 = load_dataset("mc4", "en")
f... | {
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https://api.github.com/repos/huggingface/datasets/issues/2575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2575/comments | https://api.github.com/repos/huggingface/datasets/issues/2575/events | https://github.com/huggingface/datasets/pull/2575 | 934,876,496 | MDExOlB1bGxSZXF1ZXN0NjgxODg0OTgy | 2,575 | Add C4 | {
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However AllenAI is now hosting the processed C4 dataset in this repo: https://huggingface.co/datasets/allenai/c4
Thanks a lot to them for their amazing work !
In this PR I changed the script to download and prepare ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2574/comments | https://api.github.com/repos/huggingface/datasets/issues/2574/events | https://github.com/huggingface/datasets/pull/2574 | 934,632,378 | MDExOlB1bGxSZXF1ZXN0NjgxNjczMzYy | 2,574 | Add streaming in load a dataset docs | {
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> json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 383)
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https://api.github.com/repos/huggingface/datasets/issues/2571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2571/comments | https://api.github.com/repos/huggingface/datasets/issues/2571/events | https://github.com/huggingface/datasets/pull/2571 | 933,791,018 | MDExOlB1bGxSZXF1ZXN0NjgwOTQ2NzQ1 | 2,571 | Filter expected warning log from transformers | {
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https://api.github.com/repos/huggingface/datasets/issues/2570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2570/comments | https://api.github.com/repos/huggingface/datasets/issues/2570/events | https://github.com/huggingface/datasets/pull/2570 | 933,402,521 | MDExOlB1bGxSZXF1ZXN0NjgwNjEzNzc0 | 2,570 | Minor fix docs format for bertscore | {
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- link to README
- format of KWARGS_DESCRIPTION | {
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https://api.github.com/repos/huggingface/datasets/issues/2569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2569/comments | https://api.github.com/repos/huggingface/datasets/issues/2569/events | https://github.com/huggingface/datasets/issues/2569 | 933,015,797 | MDU6SXNzdWU5MzMwMTU3OTc= | 2,569 | Weights of model checkpoint not initialized for RobertaModel for Bertscore | {
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```Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.weight', 'lm_head.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.dense.weight', 'lm_head.layer_norm.weight']```
Following the typical ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2568/comments | https://api.github.com/repos/huggingface/datasets/issues/2568/events | https://github.com/huggingface/datasets/pull/2568 | 932,934,795 | MDExOlB1bGxSZXF1ZXN0NjgwMjE5MDU2 | 2,568 | Add interleave_datasets for map-style datasets | {
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"gists_url": "https:... | [] | closed | false | null | [] | null | 0 | 2021-06-29 17:19:24+00:00 | 2021-07-01 09:33:34+00:00 | 2021-07-01 09:33:33+00:00 | MEMBER | null | null | null | null | ### Add interleave_datasets for map-style datasets
Add support for map-style datasets (i.e. `Dataset` objects) in `interleave_datasets`.
It was only supporting iterable datasets (i.e. `IterableDataset` objects).
### Implementation details
It works by concatenating the datasets and then re-order the indices to... | {
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https://api.github.com/repos/huggingface/datasets/issues/2567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2567/comments | https://api.github.com/repos/huggingface/datasets/issues/2567/events | https://github.com/huggingface/datasets/pull/2567 | 932,933,536 | MDExOlB1bGxSZXF1ZXN0NjgwMjE3OTY3 | 2,567 | Add ASR task and new languages to resources | {
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Note: I used the [Papers with Code list](https://www.paperswithcode.com/area/speech/speech-recognition) as inspiration for the ASR subtasks | {
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https://api.github.com/repos/huggingface/datasets/issues/2566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2566/comments | https://api.github.com/repos/huggingface/datasets/issues/2566/events | https://github.com/huggingface/datasets/pull/2566 | 932,804,725 | MDExOlB1bGxSZXF1ZXN0NjgwMTA2NzM0 | 2,566 | fix Dataset.map when num_procs > num rows | {
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## Testing notes
To run updated tests:
```sh
pytest tests/test_arrow_dataset.py -k "BaseDatasetTest and test_map_multiprocessing" -s
```
With Python code (to view warning):
```python
from datasets import Dataset
dataset = Dataset.from_dict({"x": ["sample"]})
print(len(dataset))
dataset.map... | {
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https://api.github.com/repos/huggingface/datasets/issues/2565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2565/comments | https://api.github.com/repos/huggingface/datasets/issues/2565/events | https://github.com/huggingface/datasets/pull/2565 | 932,445,439 | MDExOlB1bGxSZXF1ZXN0Njc5Nzg3NTI4 | 2,565 | Inject templates for ASR datasets | {
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I also fixed a bunch of the tags in the READMEs 😎 | {
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https://api.github.com/repos/huggingface/datasets/issues/2564 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2564/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2564/comments | https://api.github.com/repos/huggingface/datasets/issues/2564/events | https://github.com/huggingface/datasets/issues/2564 | 932,389,639 | MDU6SXNzdWU5MzIzODk2Mzk= | 2,564 | concatenate_datasets for iterable datasets | {
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It would be nice to have it work for `IterableDataset` objects as well.
It would simply chain the iterables of the iterable datasets. | {
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https://api.github.com/repos/huggingface/datasets/issues/2563 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2563/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2563/comments | https://api.github.com/repos/huggingface/datasets/issues/2563/events | https://github.com/huggingface/datasets/issues/2563 | 932,387,639 | MDU6SXNzdWU5MzIzODc2Mzk= | 2,563 | interleave_datasets for map-style datasets | {
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} | Currently the `interleave_datasets` functions only works for `IterableDataset`.
Let's make it work for map-style `Dataset` objects as well.
It would work the same way: either alternate between the datasets in order or randomly given probabilities specified by the user. | {
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https://api.github.com/repos/huggingface/datasets/issues/2562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2562/comments | https://api.github.com/repos/huggingface/datasets/issues/2562/events | https://github.com/huggingface/datasets/pull/2562 | 932,333,436 | MDExOlB1bGxSZXF1ZXN0Njc5NjkyMjQ2 | 2,562 | Minor fix in loading metrics docs | {
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https://api.github.com/repos/huggingface/datasets/issues/2561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2561/comments | https://api.github.com/repos/huggingface/datasets/issues/2561/events | https://github.com/huggingface/datasets/issues/2561 | 932,321,725 | MDU6SXNzdWU5MzIzMjE3MjU= | 2,561 | Existing cache for local dataset builder file updates is ignored with `ignore_verifications=True` | {
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] | closed | false | null | [] | null | 4 | 2021-06-29 07:43:03+00:00 | 2022-08-04 11:58:36+00:00 | 2022-08-04 11:58:36+00:00 | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
If i have local file defining a dataset builder class and I load it using `load_dataset` functionality, the existing cache is ignored whenever the file is update even with `ignore_verifications=True`. This slows down debugging and cache generator for very large datasets.
## Steps to reproduce th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2560/comments | https://api.github.com/repos/huggingface/datasets/issues/2560/events | https://github.com/huggingface/datasets/pull/2560 | 932,143,634 | MDExOlB1bGxSZXF1ZXN0Njc5NTMyODk4 | 2,560 | fix Dataset.map when num_procs > num rows | {
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## Testing notes
To run updated tests:
```sh
pytest tests/test_arrow_dataset.py -k "BaseDatasetTest and test_map_multiprocessing" -s
```
With Python code (to view warning):
```python
from datasets import Dataset
dataset = Dataset.from_dict({"x": ["sample"]})
print(len(dataset))
dataset.map... | {
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https://api.github.com/repos/huggingface/datasets/issues/2559 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2559/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2559/comments | https://api.github.com/repos/huggingface/datasets/issues/2559/events | https://github.com/huggingface/datasets/issues/2559 | 931,849,724 | MDU6SXNzdWU5MzE4NDk3MjQ= | 2,559 | Memory usage consistently increases when processing a dataset with `.map` | {
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] | closed | false | null | [] | null | 2 | 2021-06-28 18:31:58+00:00 | 2023-07-20 13:34:10+00:00 | 2023-07-20 13:34:10+00:00 | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
I have a HF dataset with image paths stored in it and I am trying to load those image paths using `.map` with `num_proc=80`. I am noticing that the memory usage consistently keeps on increasing with time. I tried using `DEFAULT_WRITER_BATCH_SIZE=10` in the builder to decrease arrow writer's batch... | {
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https://api.github.com/repos/huggingface/datasets/issues/2558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2558/comments | https://api.github.com/repos/huggingface/datasets/issues/2558/events | https://github.com/huggingface/datasets/pull/2558 | 931,736,647 | MDExOlB1bGxSZXF1ZXN0Njc5MTg0Njk1 | 2,558 | Update: WebNLG - update checksums | {
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I also pinned a specific revision so that it doesn't happen again in the future.
Fix https://github.com/huggingface/datasets/issues/2553 | {
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https://api.github.com/repos/huggingface/datasets/issues/2557 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2557/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2557/comments | https://api.github.com/repos/huggingface/datasets/issues/2557/events | https://github.com/huggingface/datasets/pull/2557 | 931,633,823 | MDExOlB1bGxSZXF1ZXN0Njc5MDk4ODg3 | 2,557 | Fix `fever` keys | {
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I fixed it by taking into account the file index as well. | {
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https://api.github.com/repos/huggingface/datasets/issues/2556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2556/comments | https://api.github.com/repos/huggingface/datasets/issues/2556/events | https://github.com/huggingface/datasets/issues/2556 | 931,595,872 | MDU6SXNzdWU5MzE1OTU4NzI= | 2,556 | Better DuplicateKeysError error to help the user debug the issue | {
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} | As mentioned in https://github.com/huggingface/datasets/issues/2552 it would be nice to improve the error message when a dataset fails to build because there are duplicate example keys.
The current one is
```python
datasets.keyhash.DuplicatedKeysError: FAILURE TO GENERATE DATASET !
Found duplicate Key: 48
Keys s... | {
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https://api.github.com/repos/huggingface/datasets/issues/2555 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2555/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2555/comments | https://api.github.com/repos/huggingface/datasets/issues/2555/events | https://github.com/huggingface/datasets/pull/2555 | 931,585,485 | MDExOlB1bGxSZXF1ZXN0Njc5MDU4ODM3 | 2,555 | Fix code_search_net keys | {
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I fixed the keys (it was an addition of the file and row indices, which was causing collisions)
Fix #2552. | {
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https://api.github.com/repos/huggingface/datasets/issues/2554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2554/comments | https://api.github.com/repos/huggingface/datasets/issues/2554/events | https://github.com/huggingface/datasets/issues/2554 | 931,453,855 | MDU6SXNzdWU5MzE0NTM4NTU= | 2,554 | Multilabel metrics not supported | {
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} | When I try to use a metric like F1 macro I get the following error:
```
TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'
```
There is an explicit casting here:
https://github.com/huggingface/datasets/blob/fc79f61cbbcfa0e8c68b28c0a8257f17e768a075/src/datasets/features.py#L... | {
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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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## 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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} | ## 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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"following_url": "https://api.github.com/users/connor-mccarthy/following{/other_user}"... | [] | closed | false | null | [] | null | 0 | 2021-06-27 16:18:42+00:00 | 2021-06-28 13:09:55+00:00 | 2021-06-28 13:09:54+00:00 | CONTRIBUTOR | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/2550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2550/comments | https://api.github.com/repos/huggingface/datasets/issues/2550/events | https://github.com/huggingface/datasets/issues/2550 | 930,951,287 | MDU6SXNzdWU5MzA5NTEyODc= | 2,550 | Allow for incremental cumulative metric updates in a distributed setup | {
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] | closed | false | null | [] | null | 0 | 2021-06-27 15:00:58+00:00 | 2021-09-26 13:42:39+00:00 | 2021-09-26 13:42:39+00:00 | CONTRIBUTOR | null | null | {
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} | 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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https://api.github.com/repos/huggingface/datasets/issues/2549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2549/comments | https://api.github.com/repos/huggingface/datasets/issues/2549/events | https://github.com/huggingface/datasets/issues/2549 | 929,819,093 | MDU6SXNzdWU5Mjk4MTkwOTM= | 2,549 | Handling unlabeled datasets | {
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] | closed | false | null | [] | null | 2 | 2021-06-25 04:32:23+00:00 | 2021-06-25 21:07:57+00:00 | 2021-06-25 21:07:56+00:00 | NONE | null | null | {
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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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https://api.github.com/repos/huggingface/datasets/issues/2548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2548/comments | https://api.github.com/repos/huggingface/datasets/issues/2548/events | https://github.com/huggingface/datasets/issues/2548 | 929,232,831 | MDU6SXNzdWU5MjkyMzI4MzE= | 2,548 | Field order issue in loading json | {
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} | ## 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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https://api.github.com/repos/huggingface/datasets/issues/2547 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2547/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2547/comments | https://api.github.com/repos/huggingface/datasets/issues/2547/events | https://github.com/huggingface/datasets/issues/2547 | 929,192,329 | MDU6SXNzdWU5MjkxOTIzMjk= | 2,547 | Dataset load_from_disk is too slow | {
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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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2546/comments | https://api.github.com/repos/huggingface/datasets/issues/2546/events | https://github.com/huggingface/datasets/pull/2546 | 929,091,689 | MDExOlB1bGxSZXF1ZXN0Njc2OTk2MjQ0 | 2,546 | Add license to the Cambridge English Write & Improve + LOCNESS dataset card | {
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I added it and I also filled a few other empty sections. | {
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https://api.github.com/repos/huggingface/datasets/issues/2545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2545/comments | https://api.github.com/repos/huggingface/datasets/issues/2545/events | https://github.com/huggingface/datasets/pull/2545 | 929,016,580 | MDExOlB1bGxSZXF1ZXN0Njc2OTMxOTYw | 2,545 | Fix DuplicatedKeysError in drop dataset | {
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cc: @VictorSanh. | {
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https://api.github.com/repos/huggingface/datasets/issues/2544 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2544/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2544/comments | https://api.github.com/repos/huggingface/datasets/issues/2544/events | https://github.com/huggingface/datasets/pull/2544 | 928,900,827 | MDExOlB1bGxSZXF1ZXN0Njc2ODM1MjYz | 2,544 | Fix logging levels | {
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Close #2543.
cc: @stas00 | {
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https://api.github.com/repos/huggingface/datasets/issues/2543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2543/comments | https://api.github.com/repos/huggingface/datasets/issues/2543/events | https://github.com/huggingface/datasets/issues/2543 | 928,571,915 | MDU6SXNzdWU5Mjg1NzE5MTU= | 2,543 | switching some low-level log.info's to log.debug? | {
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} | 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:
```
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 | 2021-06-23 18:41:16+00:00 | 2021-06-25 21:50:05+00:00 | 2021-06-24 14:57:08+00:00 | CONTRIBUTOR | null | null | {
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} | ## 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/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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```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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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 | 2021-06-23 07:19:52+00:00 | 2023-04-19 11:05:38+00:00 | NaT | NONE | null | null | {
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} | 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... | null | {
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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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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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} | In #2533 we added a task template for speech recognition that relies on the file paths to the audio files. As pointed out by @SBrandeis this is brittle as it doesn't port easily across different OS'.
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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"gists_url": "https://a... | [] | closed | false | null | [] | null | 2 | 2021-06-22 12:45:02+00:00 | 2021-06-23 16:14:46+00:00 | 2021-06-23 15:56:57+00:00 | MEMBER | null | null | null | null | This PR adds a task template for automatic speech recognition. In this task, the input is a path to an audio file which the model consumes to produce a transcription.
Usage:
```python
from datasets import load_dataset
from datasets.tasks import AutomaticSpeechRecognition
ds = load_dataset("timit_asr", split=... | {
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https://api.github.com/repos/huggingface/datasets/issues/2532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2532/comments | https://api.github.com/repos/huggingface/datasets/issues/2532/events | https://github.com/huggingface/datasets/issues/2532 | 927,063,196 | MDU6SXNzdWU5MjcwNjMxOTY= | 2,532 | Tokenizer's normalization preprocessor cause misalignment in return_offsets_mapping for tokenizer classification task | {
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] | closed | false | null | [] | null | 2 | 2021-06-22 10:08:18+00:00 | 2021-06-23 05:17:25+00:00 | 2021-06-23 05:17:25+00:00 | CONTRIBUTOR | null | null | {
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} | [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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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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... | [] | closed | false | null | [] | null | 4 | 2021-06-22 09:12:45+00:00 | 2021-06-22 12:55:20+00:00 | 2021-06-22 12:52:40+00:00 | CONTRIBUTOR | null | null | null | null | Fixed issue with parsing dataset labels. | {
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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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"gists_url": "https://a... | [] | closed | false | null | [] | null | 2 | 2021-06-21 16:08:31+00:00 | 2021-06-23 14:22:11+00:00 | 2021-06-23 13:30:10+00:00 | MEMBER | null | null | null | null | This PR adds a task template for text summarization. As far as I can tell, we do not need to distinguish between "extractive" or "abstractive" summarization - both can be handled with this template.
Usage:
```python
from datasets import load_dataset
from datasets.tasks import Summarization
ds = load_dataset(... | {
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