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https://api.github.com/repos/huggingface/datasets/issues/2392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2392/comments | https://api.github.com/repos/huggingface/datasets/issues/2392/events | https://github.com/huggingface/datasets/pull/2392 | 898,156,795 | MDExOlB1bGxSZXF1ZXN0NjUwMDYxOTE3 | 2,392 | Update text classification template labels in DatasetInfo __post_init__ | {
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"If I'm not mistaken, one way to fix this would be to drop the task templates when copying the info by inserting `dataset.info.task_templates = None` before the `Dataset.cast` call in `Dataset.prepare_for_task`. Moreover, we should do this change independently of the KeyError being raised because currently the foll... | 1,621,610,981,000 | 1,622,201,855,000 | 1,622,201,852,000 | MEMBER | null | This PR implements the idea discussed in #2389 to update the `labels` of the `TextClassification` template in the `DatasetInfo.__post_init__`. The main reason for doing so is so avoid duplicating the label definitions in both `DatasetInfo.features` and `DatasetInfo.task_templates`.
To avoid storing state in `Dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/2391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2391/comments | https://api.github.com/repos/huggingface/datasets/issues/2391/events | https://github.com/huggingface/datasets/issues/2391 | 898,128,099 | MDU6SXNzdWU4OTgxMjgwOTk= | 2,391 | Missing original answers in kilt-TriviaQA | {
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"That could be useful indeed! Feel free to open a PR on the dataset card if you already have some code that runs, otherwise we'll take care of it soon :) ",
"I can open a PR but there is 2 details to fix:\r\n- the name for the corresponding key (e.g. `original_answer`)\r\n- how to implement it: I’m not sure what ... | 1,621,609,027,000 | 1,623,691,751,000 | 1,623,691,751,000 | CONTRIBUTOR | null | I previously opened an issue at https://github.com/facebookresearch/KILT/issues/42 but from the answer of @fabiopetroni it seems that the problem comes from HF-datasets
## Describe the bug
The `answer` field in kilt-TriviaQA, e.g. `kilt_tasks['train_triviaqa'][0]['output']['answer']` contains a list of alternative ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2390/comments | https://api.github.com/repos/huggingface/datasets/issues/2390/events | https://github.com/huggingface/datasets/pull/2390 | 897,903,642 | MDExOlB1bGxSZXF1ZXN0NjQ5ODQ0NjQ2 | 2,390 | Add check for task templates on dataset load | {
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"LGTM now, thank you =)"
] | 1,621,592,217,000 | 1,621,612,149,000 | 1,621,612,146,000 | MEMBER | null | This PR adds a check that the features of a dataset match the schema of each compatible task template. | {
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https://api.github.com/repos/huggingface/datasets/issues/2389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2389/comments | https://api.github.com/repos/huggingface/datasets/issues/2389/events | https://github.com/huggingface/datasets/pull/2389 | 897,822,270 | MDExOlB1bGxSZXF1ZXN0NjQ5Nzc3MDMz | 2,389 | Insert task templates for text classification | {
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"Update: found a few datasets that slipped through the net. Adding them shortly!",
"You might have thought about this already, but would it make sense to use the `datasets.features.ClassLabel` values when possible instead of declaring the list once for the `feature` and once for the `template`?",
"> You might h... | 1,621,586,186,000 | 1,622,215,738,000 | 1,622,215,588,000 | MEMBER | null | This PR inserts text-classification templates for datasets with the following properties:
* Only one config
* At most two features of `(Value, ClassLabel)` type
Note that this misses datasets like `sentiment140` which only has `Value` type features - these will be handled in a separate PR | {
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https://api.github.com/repos/huggingface/datasets/issues/2388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2388/comments | https://api.github.com/repos/huggingface/datasets/issues/2388/events | https://github.com/huggingface/datasets/issues/2388 | 897,767,470 | MDU6SXNzdWU4OTc3Njc0NzA= | 2,388 | Incorrect URLs for some datasets | {
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It seems that the URLs for the following datasets are invalid:
- [ ] `bn_hate_speech` has been renamed: https://github.com/rezacsedu/Bengali-Hate-Speech-Dataset/commit/c67ecfc4184911e12814f6b36901f9828df8a63a
- [ ] `covid_tweets_japanese` has been renamed: http://www.db.info.gifu-u.ac.jp/covi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2387/comments | https://api.github.com/repos/huggingface/datasets/issues/2387/events | https://github.com/huggingface/datasets/issues/2387 | 897,566,666 | MDU6SXNzdWU4OTc1NjY2NjY= | 2,387 | datasets 1.6 ignores cache | {
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"Looks like there are multiple issues regarding this (#2386, #2322) and it's a WIP #2329. Currently these datasets are being loaded in-memory which is causing this issue. Quoting @mariosasko here for a quick fix:\r\n\r\n> set `keep_in_memory` to `False` when loading a dataset (`sst = load_dataset(\"sst\", keep_in_m... | 1,621,555,978,000 | 1,622,045,274,000 | 1,622,045,274,000 | MEMBER | null | Moving from https://github.com/huggingface/transformers/issues/11801#issuecomment-845546612
Quoting @VictorSanh:
>
> I downgraded datasets to `1.5.0` and printed `tokenized_datasets.cache_files` (L335):
>
> > `{'train': [{'filename': '/home/victor/.cache/huggingface/datasets/openwebtext10k/plain_text/1.0.0/... | {
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https://api.github.com/repos/huggingface/datasets/issues/2386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2386/comments | https://api.github.com/repos/huggingface/datasets/issues/2386/events | https://github.com/huggingface/datasets/issues/2386 | 897,560,049 | MDU6SXNzdWU4OTc1NjAwNDk= | 2,386 | Accessing Arrow dataset cache_files | {
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"Thanks @bhavitvyamalik for referencing the workaround. Setting `keep_in_memory=False` is working."
] | 1,621,555,063,000 | 1,621,624,683,000 | 1,621,624,683,000 | NONE | null | ## Describe the bug
In datasets 1.5.0 the following code snippet would have printed the cache_files:
```
train_data = load_dataset('conll2003', split='train', cache_dir='data')
print(train_data.cache_files[0]['filename'])
```
However, in the newest release (1.6.1), it prints an empty list.
I also tried l... | {
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"Thanks for the suggestions! I've included them and made a few minor tweaks along the way",
"Please merge master into this branch to fix the CI, I just fixed metadata validation tests."
] | 1,621,518,790,000 | 1,621,675,576,000 | 1,621,675,574,000 | MEMBER | null | Closes #2354
I am not sure what `post_processed` and `post_processing_size` correspond to, so have left them empty for now. I also took a guess at some of the other fields like `dataset_size` vs `size_in_bytes`, so might have misunderstood their meaning. | {
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https://api.github.com/repos/huggingface/datasets/issues/2382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2382/comments | https://api.github.com/repos/huggingface/datasets/issues/2382/events | https://github.com/huggingface/datasets/issues/2382 | 895,610,216 | MDU6SXNzdWU4OTU2MTAyMTY= | 2,382 | DuplicatedKeysError: FAILURE TO GENERATE DATASET ! load_dataset('head_qa', 'en') | {
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I try to use head_qa dataset in [https://huggingface.co/datasets/viewer/?dataset=head_qa&config=en](url)
```
!pip install datasets
from datasets import load_dataset
dataset = load_dataset(
'head_qa', 'en')
```
When I write above load_dataset(.), it throws the following:
```
Duplicated... | {
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https://api.github.com/repos/huggingface/datasets/issues/2381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2381/comments | https://api.github.com/repos/huggingface/datasets/issues/2381/events | https://github.com/huggingface/datasets/pull/2381 | 895,588,844 | MDExOlB1bGxSZXF1ZXN0NjQ3NzkyNDcw | 2,381 | add dataset card title | {
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https://api.github.com/repos/huggingface/datasets/issues/2380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2380/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2380/comments | https://api.github.com/repos/huggingface/datasets/issues/2380/events | https://github.com/huggingface/datasets/pull/2380 | 895,367,201 | MDExOlB1bGxSZXF1ZXN0NjQ3NTk3NTc3 | 2,380 | maintain YAML structure reading from README | {
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```
annotations_creators:
labeled_final:
- expert-generated
labeled_swap:
- expert-generated
unlabeled_final:
- machine-generated
language_c... | {
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https://api.github.com/repos/huggingface/datasets/issues/2379 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2379/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2379/comments | https://api.github.com/repos/huggingface/datasets/issues/2379/events | https://github.com/huggingface/datasets/pull/2379 | 895,252,597 | MDExOlB1bGxSZXF1ZXN0NjQ3NDk2ODUx | 2,379 | Disallow duplicate keys in yaml tags | {
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I added the check in the yaml tree constructor's method, so that the verification is done at every level in the yaml structure.
cc @julien-c | {
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https://api.github.com/repos/huggingface/datasets/issues/2378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2378/comments | https://api.github.com/repos/huggingface/datasets/issues/2378/events | https://github.com/huggingface/datasets/issues/2378 | 895,131,774 | MDU6SXNzdWU4OTUxMzE3NzQ= | 2,378 | Add missing dataset_infos.json files | {
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"followers_url": "https://api.github... | null | [] | 1,621,411,872,000 | 1,621,411,872,000 | null | MEMBER | null | Some of the datasets in `datasets` are missing a `dataset_infos.json` file, e.g.
```
[PosixPath('datasets/chr_en/chr_en.py'), PosixPath('datasets/chr_en/README.md')]
[PosixPath('datasets/telugu_books/README.md'), PosixPath('datasets/telugu_books/telugu_books.py')]
[PosixPath('datasets/reclor/README.md'), PosixPat... | {
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https://api.github.com/repos/huggingface/datasets/issues/2377 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2377/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2377/comments | https://api.github.com/repos/huggingface/datasets/issues/2377/events | https://github.com/huggingface/datasets/issues/2377 | 894,918,927 | MDU6SXNzdWU4OTQ5MTg5Mjc= | 2,377 | ArrowDataset.save_to_disk produces files that cannot be read using pyarrow.feather | {
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"Hi ! This is because we are actually using the arrow streaming format. We plan to switch to the arrow IPC format.\r\nMore info at #1933 "
] | 1,621,389,877,000 | 1,622,803,151,000 | null | NONE | 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
from pyarrow import feather
dataset = load_dataset('imdb', split='train')
dataset.save_to_disk('dataset_dir')
table = feather.read_table('dataset_dir/dataset.arro... | {
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https://api.github.com/repos/huggingface/datasets/issues/2376 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2376/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2376/comments | https://api.github.com/repos/huggingface/datasets/issues/2376/events | https://github.com/huggingface/datasets/pull/2376 | 894,852,264 | MDExOlB1bGxSZXF1ZXN0NjQ3MTU1NDE4 | 2,376 | Improve task api code quality | {
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"Looks good thanks, what do you think @lewtun ?",
"thanks for including the lazy `ClassLabel` class @mariosasko ! from my side this LGTM!"
] | 1,621,379,620,000 | 1,622,666,397,000 | 1,621,956,654,000 | CONTRIBUTOR | null | Improves the code quality of the `TaskTemplate` dataclasses.
Changes:
* replaces `return NotImplemented` with raise `NotImplementedError`
* replaces `sorted` with `len` in the uniqueness check
* defines `label2id` and `id2label` in the `TextClassification` template as properties
* replaces the `object.__setatt... | {
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https://api.github.com/repos/huggingface/datasets/issues/2375 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2375/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2375/comments | https://api.github.com/repos/huggingface/datasets/issues/2375/events | https://github.com/huggingface/datasets/pull/2375 | 894,655,157 | MDExOlB1bGxSZXF1ZXN0NjQ2OTg2NTcw | 2,375 | Dataset Streaming | {
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## API
Current API is
```python
from datasets import load_dataset
# Load an IterableDataset without downloading data
snli = load_dataset("snli", streaming=True)
# Access examples by streaming data
print(next(iter(snli["train"])))
# {'premise': 'A person on a horse jumps over a br... | {
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https://api.github.com/repos/huggingface/datasets/issues/2374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2374/comments | https://api.github.com/repos/huggingface/datasets/issues/2374/events | https://github.com/huggingface/datasets/pull/2374 | 894,579,364 | MDExOlB1bGxSZXF1ZXN0NjQ2OTIyMjkw | 2,374 | add `desc` to `tqdm` in `Dataset.map()` | {
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"Once this is merged, let's update `transformers` examples to use this new code. As currently all those tqdm bars are who knows what they are....\r\n\r\nhttps://github.com/huggingface/transformers/issues/11797",
"Sure @stas00! Once this is merged let's discuss what all changes can be done on `transformers` side",... | 1,621,356,269,000 | 1,622,130,244,000 | 1,622,041,161,000 | CONTRIBUTOR | null | Fixes #2330. Please let me know if anything is also required in this | {
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"Version below works, checked again in the docs, and data_files should be a path.\r\n```\r\nds = datasets.load_dataset('my_script.py', \r\n data_files='/data/dir/corpus.txt', \r\n cache_dir='.')\r\n```"
] | 1,621,351,250,000 | 1,621,352,196,000 | 1,621,352,195,000 | NONE | null | I'm trying to load a local dataset with the code below
```
ds = datasets.load_dataset('my_script.py',
data_files='corpus.txt',
data_dir='/data/dir',
cache_dir='.')
```
But internally a BuilderConfig is created, which tries to u... | {
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"Thanks for your helpful comments and suggestions! :)\r\nI integrated the additional fields, and extended some of the README/dataset card.\r\nAnd I actually realized that we had the cc-by-4.0 for the dataset, so this was also changed.",
"I added the answers to the test set actually :)",
"Oh great ! Let me rever... | 1,621,351,010,000 | 1,622,025,105,000 | 1,622,025,105,000 | CONTRIBUTOR | null | Hello,
I would like to integrate our dataset on conversational QA. The answers are grounded in the KG.
The work was published in CIKM 2019 (https://dl.acm.org/doi/10.1145/3357384.3358016).
We hope for further research on how to deal with the challenges of factoid conversational QA.
Thanks! :) | {
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> `question-answering` exists in two forms: abstractive and extractive question answering.
>
> we can keep a generic `question-answering` bu... | {
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"@lhoestq Thank you for the review. I've made the suggested changes. There still might be some problems with dummy data though due to some csv loading issues (which I haven't found the cause to).",
"I took a look at the dummy data and some csv lines were cropped. I fixed them :)"
] | 1,621,277,585,000 | 1,622,479,033,000 | 1,622,479,033,000 | CONTRIBUTOR | null | Adding Hendrycks test from https://arxiv.org/abs/2009.03300.
I'm having a bit of trouble with dummy data creation because some lines in the csv files aren't being loaded properly (only the first entry loaded in a row of length 6). The dataset is loading just fine. Hope you can kindly help!
Thank you! | {
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It fixes/extends the `ner_tags` for conll2003 to include all.
Paper reference https://arxiv.org/pdf/cs/0306050v1.pdf
Model reference https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english/blob/main/config.json
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@lhoestq | {
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https://bugs.python.org/issue29209 | {
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```python
dataset = load_dataset("json", data_files=data_files, features=features)
```
Then depending on the order of the features in the json data field it fails:
```python
[...]
~/Desktop/hf/datasets/src/datasets/packaged_modules/json/json.py in _generate_tables(self, files)
94 if s... | {
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```python
dataset = load_dataset("json", data_files=data_files, features=features)
```
Then if your features has ClassLabel types and if your json data needs class label encoding (i.e. if the labels in the json files are strings and not integers), then it would ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2364/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2364/comments | https://api.github.com/repos/huggingface/datasets/issues/2364/events | https://github.com/huggingface/datasets/pull/2364 | 892,420,500 | MDExOlB1bGxSZXF1ZXN0NjQ1MTI4MDYx | 2,364 | README updated for SNLI, MNLI | {
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"Regarding the license issue, I think we should allow it since it starts with `other-`. Cc @gchhablani what do you think ?",
"@lhoestq I agree, I'll look into it."
] | 1,621,078,679,000 | 1,621,260,867,000 | 1,621,258,459,000 | CONTRIBUTOR | null | Closes #2275. Mentioned about -1 labels in MNLI, SNLI and how they should be removed before training. @lhoestq `check_code_quality` test might fail for MNLI as the license name `other-Open Portion of the American National Corpus` is not a registered tag for 'licenses' | {
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https://api.github.com/repos/huggingface/datasets/issues/2362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2362/comments | https://api.github.com/repos/huggingface/datasets/issues/2362/events | https://github.com/huggingface/datasets/pull/2362 | 892,100,749 | MDExOlB1bGxSZXF1ZXN0NjQ0ODYzOTQw | 2,362 | Fix web_nlg metadata | {
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"Hi ! `release_v2.1` and the others are dataset configuration names.\r\n\r\nThe configuration names are used to show the right code snippet in the UI to load the dataset.\r\nFor example if the parsing of the web_nlg tags worked correctly we would have:\r\n![image](https://user-images.githubusercontent.com/42851186/... | 1,621,012,507,000 | 1,621,259,057,000 | 1,621,258,948,000 | MEMBER | null | Our metadata storage system does not support `.` inside keys. cc @Pierrci
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https://api.github.com/repos/huggingface/datasets/issues/2361 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2361/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2361/comments | https://api.github.com/repos/huggingface/datasets/issues/2361/events | https://github.com/huggingface/datasets/pull/2361 | 891,982,808 | MDExOlB1bGxSZXF1ZXN0NjQ0NzYzNTU4 | 2,361 | Preserve dtype for numpy/torch/tf/jax arrays | {
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"Hi @lhoestq, \r\nIt turns out that pyarrow `ListArray` are not recognized as list-like when we get output from `numpy_to_pyarrow_listarray`. This might cause tests to fail. If possible can we convert that `ListArray` output to list inorder for tests to pass? Under the hood it'll maintain the dtype as that of numpy... | 1,621,003,523,000 | 1,629,189,004,000 | 1,629,189,004,000 | CONTRIBUTOR | null | Fixes #625. This lets the user preserve the dtype of numpy array to pyarrow array which was getting lost due to conversion of numpy array -> list -> pyarrow array. | {
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https://api.github.com/repos/huggingface/datasets/issues/2360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2360/comments | https://api.github.com/repos/huggingface/datasets/issues/2360/events | https://github.com/huggingface/datasets/issues/2360 | 891,965,964 | MDU6SXNzdWU4OTE5NjU5NjQ= | 2,360 | Automatically detect datasets with compatible task schemas | {
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https://api.github.com/repos/huggingface/datasets/issues/2359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2359/comments | https://api.github.com/repos/huggingface/datasets/issues/2359/events | https://github.com/huggingface/datasets/issues/2359 | 891,946,017 | MDU6SXNzdWU4OTE5NDYwMTc= | 2,359 | Allow model labels to be passed during task preparation | {
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For example for sentiment classification on amazon reviews with you could have these labels:... | {
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https://api.github.com/repos/huggingface/datasets/issues/2358 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2358/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2358/comments | https://api.github.com/repos/huggingface/datasets/issues/2358/events | https://github.com/huggingface/datasets/pull/2358 | 891,269,577 | MDExOlB1bGxSZXF1ZXN0NjQ0MTYyOTY2 | 2,358 | Roman Urdu Stopwords List | {
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"Hi ! Thanks for sharing :)\r\nI think the best place to share this is probably the `Languages at Hugging Face` section of the forum:\r\nhttps://discuss.huggingface.co/c/languages-at-hugging-face/15\r\n\r\nSince this is not a dataset, I'm closing this PR if you don't mind",
"Thank you I will look into the link th... | 1,620,930,567,000 | 1,621,414,243,000 | 1,621,260,310,000 | NONE | null | A list of most frequently used Roman Urdu words with different spellings and usages.
This is a very basic effort to collect some basic stopwords for Roman Urdu to help efforts of analyzing text data in roman Urdu which makes up a huge part of daily internet interaction of Roman-Urdu users. | {
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https://api.github.com/repos/huggingface/datasets/issues/2357 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2357/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2357/comments | https://api.github.com/repos/huggingface/datasets/issues/2357/events | https://github.com/huggingface/datasets/pull/2357 | 890,595,693 | MDExOlB1bGxSZXF1ZXN0NjQzNTk0NDcz | 2,357 | Adding Microsoft CodeXGlue Datasets | {
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"Oh one other thing. Mentioned in the PR was that I would need to regenerate the dataset_infos.json once the camel casing was done. However, I am unsure why this is the case since there is no reference to any object names in the dataset_infos.json file.\r\n\r\nIf it needs to be reran, I can try it do it on my own m... | 1,620,866,581,000 | 1,623,144,597,000 | 1,623,144,597,000 | CONTRIBUTOR | null | Hi there, this is a new pull request to get the CodeXGlue datasets into the awesome HF datasets lib. Most of the work has been done in this PR #997 by the awesome @madlag. However, that PR has been stale for a while now and so I spoke with @lhoestq about finishing up the final mile and so he told me to open a new PR wi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2355 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2355/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2355/comments | https://api.github.com/repos/huggingface/datasets/issues/2355/events | https://github.com/huggingface/datasets/pull/2355 | 890,484,408 | MDExOlB1bGxSZXF1ZXN0NjQzNDk5NTIz | 2,355 | normalized TOCs and titles in data cards | {
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"Oh right! I'd be in favor of still having the same TOC across the board, we can either leave it as is or add a `[More Info Needed]` `Contributions` Section wherever it's currently missing, wdyt?",
"(I thought those were programmatically updated based on git history :D )",
"Merging for now to avoid conflict sin... | 1,620,853,199,000 | 1,620,998,592,000 | 1,620,998,592,000 | MEMBER | null | I started fixing some of the READMEs that were failing the tests introduced by @gchhablani but then realized that there were some consistent differences between earlier and newer versions of some of the titles (e.g. Data Splits vs Data Splits Sample Size, Supported Tasks vs Supported Tasks and Leaderboards). We also ha... | {
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https://api.github.com/repos/huggingface/datasets/issues/2354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2354/comments | https://api.github.com/repos/huggingface/datasets/issues/2354/events | https://github.com/huggingface/datasets/issues/2354 | 890,439,523 | MDU6SXNzdWU4OTA0Mzk1MjM= | 2,354 | Document DatasetInfo attributes | {
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As noted in PR #2255, the attributes of `DatasetInfo` are not documented in the [docs](https://huggingface.co/docs/datasets/package_reference/main_classes.html?highlight=datasetinfo#datasetinfo). It would be nice to do so :)
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https://api.github.com/repos/huggingface/datasets/issues/2353 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2353/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2353/comments | https://api.github.com/repos/huggingface/datasets/issues/2353/events | https://github.com/huggingface/datasets/pull/2353 | 890,296,262 | MDExOlB1bGxSZXF1ZXN0NjQzMzM4MDcz | 2,353 | Update README vallidation rules | {
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@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/2352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2352/comments | https://api.github.com/repos/huggingface/datasets/issues/2352/events | https://github.com/huggingface/datasets/pull/2352 | 889,810,100 | MDExOlB1bGxSZXF1ZXN0NjQyOTI4NTgz | 2,352 | Set to_json default to JSON lines | {
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"This is perfect, @albertvillanova - thank you! Tested it to work.\r\n\r\nMight it be a good idea to document the args to `to_json`?\r\n\r\nand also even a very basic progress bar? took 10min for 8M large records for `openwebtext` so perhaps some indication of it's being alive every min or so?",
"@lhoestq I added... | 1,620,807,565,000 | 1,621,587,674,000 | 1,621,587,673,000 | MEMBER | null | With this PR, the method `Dataset.to_json`:
- is added to the docs
- defaults to JSON lines | {
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In some cases, Faiss GPU index objects do not have neither "device" nor "getDevice". Possibly this happens when some part of the index is computed on CPU.
In particular, this would happen with the index `OPQ16_128,IVF512,PQ32` (issue #2350). I did check it, but it is likely that `OPQ` or `PQ` transfor... | {
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https://api.github.com/repos/huggingface/datasets/issues/2350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2350/comments | https://api.github.com/repos/huggingface/datasets/issues/2350/events | https://github.com/huggingface/datasets/issues/2350 | 889,580,247 | MDU6SXNzdWU4ODk1ODAyNDc= | 2,350 | `FaissIndex.save` throws error on GPU | {
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"Just in case, this is a workaround that I use in my code and it seems to do the job.\r\n\r\n```python\r\nif use_gpu_index:\r\n data[\"train\"]._indexes[\"text_emb\"].faiss_index = faiss.index_gpu_to_cpu(data[\"train\"]._indexes[\"text_emb\"].faiss_index)\r\n```"
] | 1,620,790,916,000 | 1,621,258,901,000 | 1,621,258,901,000 | CONTRIBUTOR | null | ## Describe the bug
After training an index with a factory string `OPQ16_128,IVF512,PQ32` on GPU, `.save_faiss_index` throws this error.
```
File "index_wikipedia.py", line 119, in <module>
data["train"].save_faiss_index("text_emb", index_save_path)
File "/home/vlialin/miniconda3/envs/cat/lib/python3.8... | {
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https://api.github.com/repos/huggingface/datasets/issues/2349 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2349/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2349/comments | https://api.github.com/repos/huggingface/datasets/issues/2349/events | https://github.com/huggingface/datasets/pull/2349 | 888,586,018 | MDExOlB1bGxSZXF1ZXN0NjQxNzYzNzg3 | 2,349 | Update task_ids for Ascent KB | {
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https://api.github.com/repos/huggingface/datasets/issues/2348 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2348/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2348/comments | https://api.github.com/repos/huggingface/datasets/issues/2348/events | https://github.com/huggingface/datasets/pull/2348 | 887,927,737 | MDExOlB1bGxSZXF1ZXN0NjQxMTMwOTM4 | 2,348 | Add tests for dataset cards | {
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"@lhoestq\r\n\r\nShould I remove the scripts? or atleast remove running them from the CircleCI config?\r\n\r\nAlso, I hope it is okay that the combined method (metadata+content) is only a slow test, and for the Circle CI, I assume only non-slow tests are run? If yes, this would mean separate tests for content and m... | 1,620,753,267,000 | 1,621,599,047,000 | 1,621,599,047,000 | CONTRIBUTOR | null | Adding tests for dataset cards
This PR will potentially remove the scripts being used for dataset tags and readme validation.
Additionally, this will allow testing dataset readmes by providing the name as follows:
```bash
pytest tests/test_dataset_cards.py::test_dataset_tags[fashion_mnist]
```
and
```bas... | {
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https://api.github.com/repos/huggingface/datasets/issues/2347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2347/comments | https://api.github.com/repos/huggingface/datasets/issues/2347/events | https://github.com/huggingface/datasets/issues/2347 | 887,404,868 | MDU6SXNzdWU4ODc0MDQ4Njg= | 2,347 | Add an API to access the language and pretty name of a dataset | {
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"Hi ! With @bhavitvyamalik we discussed about having something like\r\n```python\r\nfrom datasets import load_dataset_card\r\n\r\ndataset_card = load_dataset_card(\"squad\")\r\nprint(dataset_card.metadata.pretty_name)\r\n# Stanford Question Answering Dataset (SQuAD)\r\nprint(dataset_card.metadata.languages)\r\n# [\... | 1,620,742,208,000 | 1,621,589,206,000 | null | MEMBER | null | It would be super nice to have an API to get some metadata of the dataset from the name and args passed to `load_dataset`. This way we could programmatically infer the language and the name of a dataset when creating model cards automatically in the Transformers examples scripts. | {
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https://api.github.com/repos/huggingface/datasets/issues/2346 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2346/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2346/comments | https://api.github.com/repos/huggingface/datasets/issues/2346/events | https://github.com/huggingface/datasets/pull/2346 | 886,632,114 | MDExOlB1bGxSZXF1ZXN0NjM5OTAzMjk3 | 2,346 | Add Qasper Dataset | {
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"I saw that the README [template](https://github.com/huggingface/datasets/blob/master/templates/README.md) changed while I was working on this 😅 Some TOC titles may be different but I filled it to the best of my knowledge & readme quality check passes now.\r\nready for review @lhoestq "
] | 1,620,725,144,000 | 1,621,340,908,000 | 1,621,340,908,000 | CONTRIBUTOR | null | [Question Answering on Scientific Research Papers](https://allenai.org/project/qasper/home)
Doing NLP on NLP papers to do NLP ♻️ I had to add it~
- [x] Add README (just gotta fill out some more )
- [x] Dataloader code
- [x] Make dummy dataset
- [x] generate dataset infos
- [x] Tests
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"@lhoestq @LysandreJik",
"<s>Hi :) Can you share with us the code you used ?</s>\r\n\r\nEDIT: from https://github.com/huggingface/transformers/issues/11665#issuecomment-838348291 I understand you're using the run_clm.py script. Can you share your logs ?\r\n",
"Also note that for the caching to work, you must re... | 1,620,724,157,000 | 1,623,386,351,000 | 1,623,386,351,000 | NONE | null | Hi, I am training a gpt-2 from scratch using run_clm.py.
I want to move and reuse the preprocessed dataset (It take 2 hour to preprocess),
I tried to :
copy path_to_cache_dir/datasets to new_cache_dir/datasets
set export HF_DATASETS_CACHE="new_cache_dir/"
but the program still re-preprocess the whole dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/2344 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2344/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2344/comments | https://api.github.com/repos/huggingface/datasets/issues/2344/events | https://github.com/huggingface/datasets/issues/2344 | 885,331,505 | MDU6SXNzdWU4ODUzMzE1MDU= | 2,344 | Is there a way to join multiple datasets in one? | {
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"Hi ! We don't have `join`/`merge` on a certain column as in pandas.\r\nMaybe you can just use the [concatenate_datasets](https://huggingface.co/docs/datasets/package_reference/main_classes.html?highlight=concatenate#datasets.concatenate_datasets) function.\r\n"
] | 1,620,688,570,000 | 1,620,721,488,000 | null | NONE | null | **Is your feature request related to a problem? Please describe.**
I need to join 2 datasets, one that is in the hub and another I've created from my files. Is there an easy way to join these 2?
**Describe the solution you'd like**
Id like to join them with a merge or join method, just like pandas dataframes.
**Add... | {
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"Hi! Columns are removed **after** applying the function and **before** updating the examples with the function's output (as per the docs [here](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.map.remove_columns)). I agree the docs on this should be more clear."
] | 1,620,614,180,000 | 1,655,651,162,000 | null | NONE | null | ## Describe the bug
According to the documentation when applying map function the [remove_columns ](https://huggingface.co/docs/datasets/processing.html#removing-columns) will be removed after they are passed to the function, but in the [source code](https://huggingface.co/docs/datasets/package_reference/main_classes.... | {
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"Thanks for approving it!"
] | 1,620,569,859,000 | 1,620,724,619,000 | 1,620,724,619,000 | CONTRIBUTOR | null | Added the Ascent Commonsense KB of 8.9M assertions.
- Paper: [Advanced Semantics for Commonsense Knowledge Extraction (WWW'21)](https://arxiv.org/abs/2011.00905)
- Website: https://ascent.mpi-inf.mpg.de/
(I am the author of the dataset) | {
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https://api.github.com/repos/huggingface/datasets/issues/2340 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2340/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2340/comments | https://api.github.com/repos/huggingface/datasets/issues/2340/events | https://github.com/huggingface/datasets/pull/2340 | 882,370,824 | MDExOlB1bGxSZXF1ZXN0NjM1OTExNzIx | 2,340 | More consistent copy logic | {
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`Features.copy` now creates a deep copy. | {
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https://api.github.com/repos/huggingface/datasets/issues/2338 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2338/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2338/comments | https://api.github.com/repos/huggingface/datasets/issues/2338/events | https://github.com/huggingface/datasets/pull/2338 | 882,046,077 | MDExOlB1bGxSZXF1ZXN0NjM1NjA3NzQx | 2,338 | fixed download link for web_science | {
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`dataset = load_dataset("web_of_science", "WOS11967", ignore_verifications=True)` | {
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https://api.github.com/repos/huggingface/datasets/issues/2337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2337/comments | https://api.github.com/repos/huggingface/datasets/issues/2337/events | https://github.com/huggingface/datasets/issues/2337 | 881,610,567 | MDU6SXNzdWU4ODE2MTA1Njc= | 2,337 | NonMatchingChecksumError for web_of_science dataset | {
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"I've raised a PR for this. Should work with `dataset = load_dataset(\"web_of_science\", \"WOS11967\", ignore_verifications=True)`once it gets merged into the main branch. Thanks for reporting this! "
] | 1,620,525,722,000 | 1,620,653,753,000 | 1,620,653,753,000 | NONE | null | NonMatchingChecksumError when trying to download the web_of_science dataset.
>NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://data.mendeley.com/datasets/9rw3vkcfy4/6/files/c9ea673d-5542-44c0-ab7b-f1311f7d61df/WebOfScience.zip?dl=1']
Setting `ignore_verfications=True` results... | {
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https://api.github.com/repos/huggingface/datasets/issues/2336 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2336/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2336/comments | https://api.github.com/repos/huggingface/datasets/issues/2336/events | https://github.com/huggingface/datasets/pull/2336 | 881,298,783 | MDExOlB1bGxSZXF1ZXN0NjM0ODk1OTU5 | 2,336 | Fix overflow issue in interpolation search | {
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"~~Seems like the CI failure is unrelated to this PR~~ (fixed with the merge). \r\n\r\n@lhoestq Can you please verify that everything is OK in terms of speed? Another solution is to change the offsets array dtype to np.int64 (but this doesn't scale in theory compared to Python integer which is unbound). I'm not sur... | 1,620,507,096,000 | 1,620,653,347,000 | 1,620,653,172,000 | CONTRIBUTOR | null | Fixes #2335
More info about this error can be found [here](https://stackoverflow.com/questions/53239890/why-do-i-keep-getting-this-error-runtimewarning-overflow-encountered-in-int-sc/53240100). | {
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https://api.github.com/repos/huggingface/datasets/issues/2335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2335/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2335/comments | https://api.github.com/repos/huggingface/datasets/issues/2335/events | https://github.com/huggingface/datasets/issues/2335 | 881,291,887 | MDU6SXNzdWU4ODEyOTE4ODc= | 2,335 | Index error in Dataset.map | {
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```python
>>> from datasets import *
>>> d = load_dataset("bookcorpus", split="train")
Reusing dataset bookcorpus (C:\Users\Mario\.cache\huggingface\datasets\bookcorpus\plain_text\1.0.0\44662c4a114441c35200992bea923b170e6f13f2f0beb7c... | {
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https://api.github.com/repos/huggingface/datasets/issues/2334 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2334/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2334/comments | https://api.github.com/repos/huggingface/datasets/issues/2334/events | https://github.com/huggingface/datasets/pull/2334 | 879,810,107 | MDExOlB1bGxSZXF1ZXN0NjMzNTAzNTEw | 2,334 | Updating the DART file checksums in GEM | {
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"@sebastianGehrmann "
] | 1,620,424,424,000 | 1,620,425,890,000 | 1,620,425,890,000 | MEMBER | null | The DART files were just updated on the source GitHub
https://github.com/Yale-LILY/dart/commit/34b3c872da4811523e334f1631e54ca8105dffab | {
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https://api.github.com/repos/huggingface/datasets/issues/2333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2333/comments | https://api.github.com/repos/huggingface/datasets/issues/2333/events | https://github.com/huggingface/datasets/pull/2333 | 879,214,067 | MDExOlB1bGxSZXF1ZXN0NjMyOTUwNzIy | 2,333 | Fix duplicate keys | {
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"- @jplu "
] | 1,620,401,288,000 | 1,620,510,451,000 | 1,620,403,028,000 | MEMBER | null | As noticed in https://github.com/huggingface/datasets/pull/2245, many datasets yield duplicate keys.
Most of the time it was because the counter used for ids were reset at each new data file. | {
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https://api.github.com/repos/huggingface/datasets/issues/2332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2332/comments | https://api.github.com/repos/huggingface/datasets/issues/2332/events | https://github.com/huggingface/datasets/pull/2332 | 879,041,608 | MDExOlB1bGxSZXF1ZXN0NjMyNzk1NDE4 | 2,332 | Add note about indices mapping in save_to_disk docstring | {
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- **Name:** Topical-Chat
- **Description:** a knowledge-grounded human-human conversation dataset where the underlying knowledge spans 8 broad topics and conversation partners don’t have explicitly defined roles
- **Paper:** https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3079.pdf
- **... | {
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https://api.github.com/repos/huggingface/datasets/issues/2330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2330/comments | https://api.github.com/repos/huggingface/datasets/issues/2330/events | https://github.com/huggingface/datasets/issues/2330 | 878,490,927 | MDU6SXNzdWU4Nzg0OTA5Mjc= | 2,330 | Allow passing `desc` to `tqdm` in `Dataset.map()` | {
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"Hi @lhoestq,\r\nShould we change `desc` in [pbar](https://github.com/huggingface/datasets/blob/81fcf88172ed5e3026ef68aed4c0ec6980372333/src/datasets/arrow_dataset.py#L1860) to something meaningful?",
"I think the user could pass the `desc` parameter to `map` so that it can be displayed in the tqdm progress bar, ... | 1,620,366,774,000 | 1,622,041,161,000 | 1,622,041,161,000 | CONTRIBUTOR | null | It's normal to have many `map()` calls, and some of them can take a few minutes,
it would be nice to have a description on the progress bar.
Alternative solution:
Print the description before/after the `map()` call. | {
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https://api.github.com/repos/huggingface/datasets/issues/2329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2329/comments | https://api.github.com/repos/huggingface/datasets/issues/2329/events | https://github.com/huggingface/datasets/pull/2329 | 877,924,198 | MDExOlB1bGxSZXF1ZXN0NjMxODA3MTk0 | 2,329 | Add cache dir for in-memory datasets | {
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"Yes, having `cache_dir` as an attribute looks cleaner.\r\n\r\n\r\n\r\n",
"Good job! Looking forward to this new feature! 🥂",
"@lhoestq Sorry for the late reply. Yes, I'll start working on tests. Thanks for the detailed explanation of the current issues with caching (like the idea of adding the `use_caching` p... | 1,620,329,732,000 | 1,623,181,608,000 | 1,623,179,206,000 | CONTRIBUTOR | null | Adds the cache dir attribute to DatasetInfo as suggested by @lhoestq.
Should fix #2322 | {
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https://api.github.com/repos/huggingface/datasets/issues/2328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2328/comments | https://api.github.com/repos/huggingface/datasets/issues/2328/events | https://github.com/huggingface/datasets/pull/2328 | 877,673,896 | MDExOlB1bGxSZXF1ZXN0NjMxNTg2MzU2 | 2,328 | Add Matthews/Pearson/Spearman correlation metrics | {
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- The Matthews correlation coefficient (from sklearn)
- The Pearson correlation coefficient (from scipy)
- The Spearman correlation coefficient (from scipy)
cc @sgugger | {
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https://api.github.com/repos/huggingface/datasets/issues/2327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2327/comments | https://api.github.com/repos/huggingface/datasets/issues/2327/events | https://github.com/huggingface/datasets/issues/2327 | 877,565,831 | MDU6SXNzdWU4Nzc1NjU4MzE= | 2,327 | A syntax error in example | {
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"cc @beurkinger but I think this has been fixed internally and will soon be updated right ?",
"This issue has been fixed."
] | 1,620,311,684,000 | 1,621,479,859,000 | 1,621,479,859,000 | NONE | null | 
Sorry to report with an image, I can't find the template source code of this snippet. | {
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https://api.github.com/repos/huggingface/datasets/issues/2326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2326/comments | https://api.github.com/repos/huggingface/datasets/issues/2326/events | https://github.com/huggingface/datasets/pull/2326 | 876,829,254 | MDExOlB1bGxSZXF1ZXN0NjMwODk3MjI4 | 2,326 | Enable auto-download for PAN-X / Wikiann domain in XTREME | {
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While re-generating `dataset_infos.json` I ran into a `KeyError` in the `udpos.Arabic` domain so have included a fix for th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2325/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2325/comments | https://api.github.com/repos/huggingface/datasets/issues/2325/events | https://github.com/huggingface/datasets/pull/2325 | 876,653,121 | MDExOlB1bGxSZXF1ZXN0NjMwNzU1MzIx | 2,325 | Added the HLGD dataset | {
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"Is there anything else needed from my end?",
"Thanks Bhavitvya and Quentin, this was very streamlined!"
] | 1,620,233,609,000 | 1,620,831,313,000 | 1,620,828,998,000 | CONTRIBUTOR | null | Added the Headline Grouping Dataset (HLGD), from the NAACL2021 paper: News Headline Grouping as a Challenging NLU Task
Dataset Link: https://github.com/tingofurro/headline_grouping
Paper link: https://people.eecs.berkeley.edu/~phillab/pdfs/NAACL2021_HLG.pdf | {
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https://api.github.com/repos/huggingface/datasets/issues/2324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2324/comments | https://api.github.com/repos/huggingface/datasets/issues/2324/events | https://github.com/huggingface/datasets/pull/2324 | 876,602,064 | MDExOlB1bGxSZXF1ZXN0NjMwNzE1NTQz | 2,324 | Create Audio feature | {
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"For optimal storage, it would be better to:\r\n- store only the audio file path in the cache Arrow file\r\n- perform decoding of the audio file (into audio array and sample rate) on the fly, while loading the dataset from cache (or by adding a convenient `load_audio` function)",
"Thanks a lot @lhoestq for your h... | 1,620,230,122,000 | 1,634,120,793,000 | 1,634,120,793,000 | MEMBER | null | Create `Audio` feature to handle raw audio files.
Some decisions to be further discussed:
- I have chosen `soundfile` as the audio library; another interesting library is `librosa`, but this requires `soundfile` (see [here](https://github.com/librosa/librosa/blob/main/setup.cfg#L53)). If we require some more advanc... | {
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https://api.github.com/repos/huggingface/datasets/issues/2323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2323/comments | https://api.github.com/repos/huggingface/datasets/issues/2323/events | https://github.com/huggingface/datasets/issues/2323 | 876,438,507 | MDU6SXNzdWU4NzY0Mzg1MDc= | 2,323 | load_dataset("timit_asr") gives back duplicates of just one sample text | {
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"Upgrading datasets to version 1.6 fixes the issue",
"This bug was fixed in #1995. Upgrading the `datasets` should work! ",
"Thanks @ekeleshian for having reported.\r\n\r\nI am closing this issue once that you updated `datasets`. Feel free to reopen it if the problem persists."
] | 1,620,220,488,000 | 1,620,383,550,000 | 1,620,383,550,000 | NONE | null | ## Describe the bug
When you look up on key ["train"] and then ['text'], you get back a list with just one sentence duplicated 4620 times. Namely, the sentence "Would such an act of refusal be useful?". Similarly when you look up ['test'] and then ['text'], the list is one sentence repeated "The bungalow was pleasant... | {
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https://api.github.com/repos/huggingface/datasets/issues/2322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2322/comments | https://api.github.com/repos/huggingface/datasets/issues/2322/events | https://github.com/huggingface/datasets/issues/2322 | 876,383,853 | MDU6SXNzdWU4NzYzODM4NTM= | 2,322 | Calls to map are not cached. | {
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"I tried upgrading to `datasets==1.6.2` and downgrading to `1.6.0`. Both versions produce the same output.\r\n\r\nDowngrading to `1.5.0` works and produces the following output for me:\r\n\r\n```bash\r\nDownloading: 9.20kB [00:00, 3.94MB/s] \r\nDownloading: 5.99kB [00:00, 3.29MB/s] ... | 1,620,216,687,000 | 1,623,179,402,000 | 1,623,179,301,000 | NONE | null | ## Describe the bug
Somehow caching does not work for me anymore. Am I doing something wrong, or is there anything that I missed?
## Steps to reproduce the bug
```python
import datasets
datasets.set_caching_enabled(True)
sst = datasets.load_dataset("sst")
def foo(samples, i):
print("executed", i[:10])... | {
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Fix #2319. | {
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Close #2318. | {
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"Thanks for reporting, @sgraaf.\r\n\r\nI am going to have a look at it. \r\n\r\nI guess the expected codec is \"UTF-8\". Normally, when no explicitly codec is passed, Python uses one which is platform-dependent. For Linux machines, the default codec is `utf_8`, which is OK. However for Windows machine, the default ... | 1,620,206,572,000 | 1,620,212,251,000 | 1,620,211,855,000 | NONE | null | ## Describe the bug
When loading the [OSCAR dataset](https://huggingface.co/datasets/oscar) (specifically `unshuffled_deduplicated_af`), I encounter a `UnicodeDecodeError`.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("oscar", "unshuffled_deduplicated_af")
```... | {
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https://api.github.com/repos/huggingface/datasets/issues/2318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2318/comments | https://api.github.com/repos/huggingface/datasets/issues/2318/events | https://github.com/huggingface/datasets/issues/2318 | 876,212,460 | MDU6SXNzdWU4NzYyMTI0NjA= | 2,318 | [api request] API to obtain "dataset_module" dynamic path? | {
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"Hi @richardliaw, \r\n\r\nFirst, thanks for the compliments.\r\n\r\nIn relation with your request, currently, the dynamic modules path is obtained this way:\r\n```python\r\nfrom datasets.load import init_dynamic_modules, MODULE_NAME_FOR_DYNAMIC_MODULES\r\n\r\ndynamic_modules_path = init_dynamic_modules(MODULE_NAME_... | 1,620,204,048,000 | 1,620,290,745,000 | 1,620,287,874,000 | NONE | null | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
This is an awesome library.
It seems like the dynamic module path in this library has broken some of hyperparameter tuning functionality: https://discuss.huggingface.co/t/using-hyperparamet... | {
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https://api.github.com/repos/huggingface/datasets/issues/2317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2317/comments | https://api.github.com/repos/huggingface/datasets/issues/2317/events | https://github.com/huggingface/datasets/pull/2317 | 875,767,318 | MDExOlB1bGxSZXF1ZXN0NjMwMDQxNzc4 | 2,317 | Fix incorrect version specification for the pyarrow package | {
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Simply, I put a comma between the version bounds.
Fix #2316. | {
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https://api.github.com/repos/huggingface/datasets/issues/2316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2316/comments | https://api.github.com/repos/huggingface/datasets/issues/2316/events | https://github.com/huggingface/datasets/issues/2316 | 875,756,353 | MDU6SXNzdWU4NzU3NTYzNTM= | 2,316 | Incorrect version specification for pyarrow | {
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"Fixed by #2317."
] | 1,620,155,711,000 | 1,620,209,403,000 | 1,620,209,403,000 | CONTRIBUTOR | null | ## Describe the bug
The pyarrow dependency is incorrectly specified in setup.py file, in [this line](https://github.com/huggingface/datasets/blob/3a3e5a4da20bfcd75f8b6a6869b240af8feccc12/setup.py#L77).
Also as a snippet:
```python
"pyarrow>=1.0.0<4.0.0",
```
## Steps to reproduce the bug
```bash
pip install... | {
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https://api.github.com/repos/huggingface/datasets/issues/2315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2315/comments | https://api.github.com/repos/huggingface/datasets/issues/2315/events | https://github.com/huggingface/datasets/pull/2315 | 875,742,200 | MDExOlB1bGxSZXF1ZXN0NjMwMDIyMDYy | 2,315 | Datasets cli improvements | {
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"Additionally, I've deleted the points that are not very relevant for this repo (I guess the deleted points originate from the transformers repo). With this change, running `datasets-cli` is identical to copy-pasting the code from `bug_report.md`, but is more elegant because it doesn't require launching the REPL an... | 1,620,154,511,000 | 1,620,664,611,000 | 1,620,664,610,000 | CONTRIBUTOR | null | This PR:
* replaces the code from the `bug_report.md` that was used to get relevant system info with a dedicated command (a more elegant approach than copy-pasting the code IMO)
* removes the `download` command (copied from the transformers repo?)
* adds missing help messages to the cli commands
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https://api.github.com/repos/huggingface/datasets/issues/2314 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2314/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2314/comments | https://api.github.com/repos/huggingface/datasets/issues/2314/events | https://github.com/huggingface/datasets/pull/2314 | 875,729,271 | MDExOlB1bGxSZXF1ZXN0NjMwMDExODc4 | 2,314 | Minor refactor prepare_module | {
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"@lhoestq this is the PR that I mentioned to you, which can be considered as a first step in refactoring `prepare_module`.",
"closing in favor of #2986 "
] | 1,620,153,446,000 | 1,634,116,054,000 | 1,634,116,054,000 | MEMBER | null | Start to refactor `prepare_module` to try to decouple functionality.
This PR does:
- extract function `_initialize_dynamic_modules_namespace_package`
- extract function `_find_module_in_github_or_s3`
- some renaming of variables
- use of f-strings | {
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https://api.github.com/repos/huggingface/datasets/issues/2313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2313/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2313/comments | https://api.github.com/repos/huggingface/datasets/issues/2313/events | https://github.com/huggingface/datasets/pull/2313 | 875,475,367 | MDExOlB1bGxSZXF1ZXN0NjI5ODEwNTc4 | 2,313 | Remove unused head_hf_s3 function | {
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- neither its returned result is used
- nor it raises any exception, as exceptions are catched and returned (not raised)
This PR removes it. | {
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https://api.github.com/repos/huggingface/datasets/issues/2312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2312/comments | https://api.github.com/repos/huggingface/datasets/issues/2312/events | https://github.com/huggingface/datasets/pull/2312 | 875,435,726 | MDExOlB1bGxSZXF1ZXN0NjI5Nzc4NjUz | 2,312 | Add rename_columnS method | {
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"Merging then 😄 "
] | 1,620,133,073,000 | 1,620,135,793,000 | 1,620,135,792,000 | CONTRIBUTOR | null | Cherry-picked from #2255 | {
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"Hi @lhoestq , I am not sure about the error message:\r\n```\r\n#!/bin/bash -eo pipefail\r\n./scripts/datasets_metadata_validator.py\r\nWARNING:root:❌ Failed to validate 'datasets/openslr/README.md':\r\n__init__() got an unexpected keyword argument 'SLR32'\r\nINFO:root:❌ Failed on 1 files.\r\n\r\nExited with code e... | 1,620,119,283,000 | 1,620,381,055,000 | 1,620,381,055,000 | CONTRIBUTOR | null | Add large speech datasets for Sinhala, Bengali and Nepali. | {
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https://api.github.com/repos/huggingface/datasets/issues/2310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2310/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2310/comments | https://api.github.com/repos/huggingface/datasets/issues/2310/events | https://github.com/huggingface/datasets/pull/2310 | 875,096,051 | MDExOlB1bGxSZXF1ZXN0NjI5NTEwNTg5 | 2,310 | Update README.md | {
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"Hi @cryoff, thanks for completing the dataset card.\r\n\r\nNow there is an automatic validation tool to assure that all dataset cards contain all the relevant information. This is the cause of the non-passing test on your Pull Request:\r\n```\r\nFound fields that are not non-empty list of strings: {'annotations_cr... | 1,620,103,081,000 | 1,620,110,159,000 | null | CONTRIBUTOR | null | Provides description of data instances and dataset features | {
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To fix this I had to:
- add the --single-version-externally-managed tag to the build stage (suggestion from [here](https://stackoverflow.com/a/64825075))
- set the python version of the conda build stage to 3.8 since 3.9 isn't suppor... | {
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https://api.github.com/repos/huggingface/datasets/issues/2302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2302/comments | https://api.github.com/repos/huggingface/datasets/issues/2302/events | https://github.com/huggingface/datasets/pull/2302 | 873,961,435 | MDExOlB1bGxSZXF1ZXN0NjI4NjIzMDQ3 | 2,302 | Add SubjQA dataset | {
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"I'm not sure why the windows test fails, but looking at the logs it looks like some caching issue on one of the metrics ... maybe re-run and 🤞 ?",
"Hi @lewtun, thanks for adding this dataset!\r\n\r\nIf the dataset is going to be referenced heavily, I think it's worth spending some time to make the dataset card ... | 1,619,967,080,000 | 1,620,638,479,000 | 1,620,638,479,000 | MEMBER | null | Hello datasetters 🙂!
Here's an interesting dataset about extractive question-answering on _subjective_ product / restaurant reviews. It's quite challenging for models fine-tuned on SQuAD and provides a nice example of domain adaptation (i.e. fine-tuning a SQuAD model on this domain gives better performance).
I f... | {
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https://api.github.com/repos/huggingface/datasets/issues/2301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2301/comments | https://api.github.com/repos/huggingface/datasets/issues/2301/events | https://github.com/huggingface/datasets/issues/2301 | 873,941,266 | MDU6SXNzdWU4NzM5NDEyNjY= | 2,301 | Unable to setup dev env on Windows | {
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"Hi @gchhablani, \r\n\r\nThere are some 3rd-party dependencies that require to build code in C. In this case, it is the library `python-Levenshtein`.\r\n\r\nOn Windows, in order to be able to build C code, you need to install at least `Microsoft C++ Build Tools` version 14. You can find more info here: https://visu... | 1,619,961,642,000 | 1,620,055,081,000 | 1,620,055,054,000 | CONTRIBUTOR | null | Hi
I tried installing the `".[dev]"` version on Windows 10 after cloning.
Here is the error I'm facing:
```bat
(env) C:\testing\datasets>pip install -e ".[dev]"
Obtaining file:///C:/testing/datasets
Requirement already satisfied: numpy>=1.17 in c:\programdata\anaconda3\envs\env\lib\site-packages (from datas... | {
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"I'm happy to take this on:) One question: The original unlabelled data is stored unsegmented (see e.g. https://github.com/facebookresearch/voxpopuli/blob/main/voxpopuli/get_unlabelled_data.py#L30), but segmenting the audio in the dataset would require a dependency on something like soundfile or torchaudio. An alte... | 1,619,957,860,000 | 1,645,038,817,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** Voxpopuli
- **Description:** VoxPopuli is raw data is collected from 2009-2020 European Parliament event recordings
- **Paper:** https://arxiv.org/abs/2101.00390
- **Data:** https://github.com/facebookresearch/voxpopuli
- **Motivation:** biggest unlabeled speech dataset
**Note**:... | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
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"Hi @lhoestq,\r\n\r\nOnce that #2578 has been merged, I would like to ask you to have a look at this PR: it implements the same logic as the one in #2578 but for all the other file compression formats.\r\n\r\nThanks.",
"I think all is done @lhoestq ;)"
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"Hi ! Have you tried other values for `preprocessing_num_workers` ? Is it always process 0 that is slower ?\r\nThere are no difference between process 0 and the others except that it processes the first shard of the dataset.",
"Hi, I have found the reason of it. Before using the map function to tokenize the data,... | 1,619,769,633,000 | 1,620,126,011,000 | null | NONE | null | Hi, _datasets_ is really amazing! I am following [run_mlm_no_trainer.py](url) to pre-train BERT, and it uses `tokenized_datasets = raw_datasets.map(
tokenize_function,
batched=True,
num_proc=args.preprocessing_num_workers,
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The recordbatches of the `IndexedTableMixin` used to speed up queries to the table were copied in memory during a table deepcopy.
This resulted in `concatenate_datasets`, `load_from_disk` and other methods to always bring the data in memory.
I fixed the copy similarly to #2287... | {
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https://api.github.com/repos/huggingface/datasets/issues/2290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2290/comments | https://api.github.com/repos/huggingface/datasets/issues/2290/events | https://github.com/huggingface/datasets/pull/2290 | 871,145,817 | MDExOlB1bGxSZXF1ZXN0NjI2MjEyNTIz | 2,290 | Bbaw egyptian | {
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"Hi @phiwi,\r\n\r\nThanks for contributing this nice dataset. If you have any blocking problem or question, do not hesitate to ask here. We are pleased to help you.\r\n\r\nCould you please first synchronize with our master branch? From your branch `bbaw_egyptian`, type:\r\n```\r\ngit fetch upstream master\r\ngit me... | 1,619,710,078,000 | 1,620,321,925,000 | 1,620,321,925,000 | CONTRIBUTOR | null | This is the "hieroglyph corpus" that I could unfortunately not contribute during the marathon. I re-extracted it again now, so that it is in the state as used in my paper (seee documentation). I hope it satiesfies your requirements and wish every scientist out their loads of fun deciphering a 5.000 years old language :... | {
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https://api.github.com/repos/huggingface/datasets/issues/2289 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2289/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2289/comments | https://api.github.com/repos/huggingface/datasets/issues/2289/events | https://github.com/huggingface/datasets/pull/2289 | 871,118,573 | MDExOlB1bGxSZXF1ZXN0NjI2MTg5MDU3 | 2,289 | Allow collaborators to self-assign issues | {
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"What do you think, @lhoestq? 😉 \r\n\r\nI think this could be another step to facilitate community contributions.",
"@lhoestq, it doesn't exist in `transformers`... I picked the idea from `scikit-learn`, where I have previously collaborated...\r\n\r\nAnd sure, this must be documented! I just wanted first to know... | 1,619,708,826,000 | 1,619,807,296,000 | 1,619,807,296,000 | MEMBER | null | Allow collaborators (without write access to the repository) to self-assign issues.
In order to self-assign an issue, they have to comment it with the word: `#take` or `#self-assign`. | {
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https://api.github.com/repos/huggingface/datasets/issues/2288 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2288/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2288/comments | https://api.github.com/repos/huggingface/datasets/issues/2288/events | https://github.com/huggingface/datasets/issues/2288 | 871,111,235 | MDU6SXNzdWU4NzExMTEyMzU= | 2,288 | Load_dataset for local CSV files | {
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"Hi,\r\n\r\nthis is not a standard CSV file (requires additional preprocessing) so I wouldn't label this as s bug. You could parse the examples with the regex module or the string API to extract the data, but the following approach is probably the easiest (once you load the data):\r\n```python\r\nimport ast\r\n# lo... | 1,619,708,470,000 | 1,623,764,966,000 | 1,623,764,966,000 | NONE | null | The method load_dataset fails to correctly load a dataset from csv.
Moreover, I am working on a token-classification task ( POS tagging) , where each row in my CSV contains two columns each of them having a list of strings.
row example:
```tokens | labels
['I' , 'am', 'John'] | ['PRON', 'AUX', 'PROPN' ]
``... | {
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https://api.github.com/repos/huggingface/datasets/issues/2287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2287/comments | https://api.github.com/repos/huggingface/datasets/issues/2287/events | https://github.com/huggingface/datasets/pull/2287 | 871,063,374 | MDExOlB1bGxSZXF1ZXN0NjI2MTQ0MTQ3 | 2,287 | Avoid copying table's record batches | {
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"Thanks for fixing it. I actually included a similar fix in #2291 along with some updates in tests\r\nI'm closing this one in favor of #2291 if you don't mind.\r\n\r\nThanks again !"
] | 1,619,705,701,000 | 1,619,714,063,000 | 1,619,714,062,000 | CONTRIBUTOR | null | Fixes #2276 | {
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https://api.github.com/repos/huggingface/datasets/issues/2286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2286/comments | https://api.github.com/repos/huggingface/datasets/issues/2286/events | https://github.com/huggingface/datasets/pull/2286 | 871,032,393 | MDExOlB1bGxSZXF1ZXN0NjI2MTE5MTE2 | 2,286 | Fix metadata validation with config names | {
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https://api.github.com/repos/huggingface/datasets/issues/2285 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2285/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2285/comments | https://api.github.com/repos/huggingface/datasets/issues/2285/events | https://github.com/huggingface/datasets/issues/2285 | 871,005,236 | MDU6SXNzdWU4NzEwMDUyMzY= | 2,285 | Help understanding how to build a dataset for language modeling as with the old TextDataset | {
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"\r\nI received an answer for this question on the HuggingFace Datasets forum by @lhoestq\r\n\r\nHi !\r\n\r\nIf you want to tokenize line by line, you can use this:\r\n\r\n```\r\nmax_seq_length = 512\r\nnum_proc = 4\r\n\r\ndef tokenize_function(examples):\r\n# Remove empty lines\r\nexamples[\"text\"] = [line for li... | 1,619,702,205,000 | 1,621,408,965,000 | 1,621,408,959,000 | NONE | null | Hello,
I am trying to load a custom dataset that I will then use for language modeling. The dataset consists of a text file that has a whole document in each line, meaning that each line overpasses the normal 512 tokens limit of most tokenizers.
I would like to understand what is the process to build a text datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/2283 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2283/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2283/comments | https://api.github.com/repos/huggingface/datasets/issues/2283/events | https://github.com/huggingface/datasets/pull/2283 | 870,926,475 | MDExOlB1bGxSZXF1ZXN0NjI2MDM0MDk5 | 2,283 | Initialize imdb dataset from don't stop pretraining paper | {
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