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"Thank you for working on this, @bhavitvyamalik \r\n\r\n10% is not solving the issue, we want 5-10x faster on a machine that has lots of resources, but limited processing time.\r\n\r\nSo let's benchmark it on an instance with many more cores, I can test with 12 on my dev box and 40 on JZ. \r\n\r\nCould you please s... | null | [] | add multi-proc in `to_json` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2747/timeline | Closes #2663. I've tried adding multiprocessing in `to_json`. Here's some benchmarking I did to compare the timings of current version (say v1) and multi-proc version (say v2). I did this with `cpu_count` 4 (2015 Macbook Air)
1. Dataset name: `ascent_kb` - 8.9M samples (all samples were used, reporting this for a si... | https://api.github.com/repos/huggingface/datasets | {
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"Hi @Mehrad0711,\r\n\r\nI'm afraid there is no \"canonical\" Hugging Face dataset named \"few-nerd\".\r\n\r\nThere are 2 kinds of datasets hosted at the Hugging Face Hub:\r\n- canonical datasets (their identifier contains no slash \"/\"): we, the Hugging Face team, supervise their implementation and we make sure th... | completed | [
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] | Cannot load `few-nerd` dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2746/timeline | ## Describe the bug
Cannot load `few-nerd` dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('few-nerd', 'supervised')
```
## Actual results
Executing above code will give the following error:
```
Using the latest cached version of the module from /Users... | https://api.github.com/repos/huggingface/datasets | null | 958,551,619 | https://api.github.com/repos/huggingface/datasets/issues/2746/comments | MDU6SXNzdWU5NTg1NTE2MTk= | null | 2,746 | https://api.github.com/repos/huggingface/datasets/issues/2746/events | false |
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"For training the multilabel classifier, I would combine the labels into a list, for example for the English dataset:\r\n\r\n```\r\ndfpre=pd.read_csv(path+\"2018-E-c-En-train.txt\",sep=\"\\t\")\r\ndfpre['list'] = dfpre[dfpre.columns[2:]].values.tolist()\r\ndf = dfpre[['Tweet', 'list']].copy()\r\ndf.rename(columns={... | null | [] | added semeval18_emotion_classification dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2745/timeline | I added the data set of SemEval 2018 Task 1 (Subtask 5) for emotion detection in three languages.
```
datasets-cli test datasets/semeval18_emotion_classification/ --save_infos --all_configs
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_semeval18_emotion_classification
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"As discussed, the metadata JSON files must be regenerated because the keys were nor properly generated and they will not be read by the builder:\r\n> Indeed there is some problem/bug while reading the datasets_info.json file: there is a mismatch with the config.name keys in the file...\r\nIn the meanwhile, in orde... | completed | [
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] | Dataset JSON is incorrect | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2743/timeline | ## Describe the bug
The JSON file generated for https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/journalists_questions.py is https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/dataset... | https://api.github.com/repos/huggingface/datasets | null | 958,119,251 | https://api.github.com/repos/huggingface/datasets/issues/2743/comments | MDU6SXNzdWU5NTgxMTkyNTE= | null | 2,743 | https://api.github.com/repos/huggingface/datasets/issues/2743/events | false |
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"maybe we should rather attempt to download a `Range` from the server and see if it works?"
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"default": fals... | Improve detection of streamable file types | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2742/timeline | **Is your feature request related to a problem? Please describe.**
```python
from datasets import load_dataset_builder
from datasets.utils.streaming_download_manager import StreamingDownloadManager
builder = load_dataset_builder("journalists_questions", name="plain_text")
builder._split_generators(StreamingDownl... | https://api.github.com/repos/huggingface/datasets | null | 958,114,064 | https://api.github.com/repos/huggingface/datasets/issues/2742/comments | MDU6SXNzdWU5NTgxMTQwNjQ= | null | 2,742 | https://api.github.com/repos/huggingface/datasets/issues/2742/events | false |
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"color": "bfdadc",... | Add Hypersim dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2741/timeline | ## Adding a Dataset
- **Name:** Hypersim
- **Description:** photorealistic synthetic dataset for holistic indoor scene understanding
- **Paper:** *link to the dataset paper if available*
- **Data:** https://github.com/apple/ml-hypersim
Instructions to add a new dataset can be found [here](https://github.com/hugg... | https://api.github.com/repos/huggingface/datasets | null | 957,979,559 | https://api.github.com/repos/huggingface/datasets/issues/2741/comments | MDU6SXNzdWU5NTc5Nzk1NTk= | null | 2,741 | https://api.github.com/repos/huggingface/datasets/issues/2741/events | false |
closed | 2021-08-02T08:46:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/2740 | null | {
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closed | 2021-08-01T15:18:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/2738 | null | {
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"Hi @ak3ra , have you had a chance to take my comments into account ?\r\n\r\nLet me know if you have questions or if I can help :)",
"@lhoestq Working on this, thanks for the detailed review :) ",
"Hi ! Cool thanks :)\r\nFeel free to merge master into your branch to fix the CI issues\r\n\r\nLet me know if you ... | null | [
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closed | 2021-07-30T23:53:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/2737 | null | {
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"Hi @devrimcavusoglu, \r\nI tried your code with latest version of `datasets`and `sacrebleu==1.5.1` and it's running fine after changing one small thing:\r\n```\r\nsacrebleu = datasets.load_metric('sacrebleu')\r\npredictions = [\"It is a guide to action which ensures that the military always obeys the commands of t... | completed | [
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AttributeError: module 'sacrebleu' has no attribute 'DEFAULT_TOKENIZER'
this happens since in new version of sacrebleu there is no `DEFAULT_TOKENIZER`, but sacrebleu.py tries... | https://api.github.com/repos/huggingface/datasets | null | 957,124,881 | https://api.github.com/repos/huggingface/datasets/issues/2737/comments | MDU6SXNzdWU5NTcxMjQ4ODE= | null | 2,737 | https://api.github.com/repos/huggingface/datasets/issues/2737/events | false |
open | 2021-07-30T16:17:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/2736 | null | {
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"Motivation: this can be a useful dataset for researchers working on climate change adaptation, urban studies, geography, etc. I'll see if I can figure out how to add it!"
] | null | [
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"color": "bfdadc",... | Add Microsoft Building Footprints dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2736/timeline | ## Adding a Dataset
- **Name:** Microsoft Building Footprints
- **Description:** With the goal to increase the coverage of building footprint data available as open data for OpenStreetMap and humanitarian efforts, we have released millions of building footprints as open data available to download free of charge.
- *... | https://api.github.com/repos/huggingface/datasets | null | 956,895,199 | https://api.github.com/repos/huggingface/datasets/issues/2736/comments | MDU6SXNzdWU5NTY4OTUxOTk= | null | 2,736 | https://api.github.com/repos/huggingface/datasets/issues/2736/events | false |
open | 2021-07-30T16:08:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/2735 | null | {
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- **Name:** Open Buildings
- **Description:** A dataset of building footprints to support social good applications.
Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science.... | https://api.github.com/repos/huggingface/datasets | null | 956,889,365 | https://api.github.com/repos/huggingface/datasets/issues/2735/comments | MDU6SXNzdWU5NTY4ODkzNjU= | null | 2,735 | https://api.github.com/repos/huggingface/datasets/issues/2735/events | false |
closed | 2021-07-30T15:22:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/2734 | null | {
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closed | 2021-07-30T13:01:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2733 | null | {
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```python
from datasets import load_dataset
base_url = "https://storage.googleapis.com/huggingface-nlp/cache/datasets/wikipedia/20200501.en/1.0.0/"
data_files = {"train": base_url + "wikipedia-train.parquet"}
wiki = load_dataset("parquet", da... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-30T11:52:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/2732 | null | {
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"@lhoestq, lütfen bu PR'ı gözden geçirebilir misiniz?",
"> Thanks ! This looks all good now :)\r\n\r\nThanks"
] | null | [] | Updated TTC4900 Dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2732/timeline | - The source address of the TTC4900 dataset of [@savasy](https://github.com/savasy) has been updated for direct download.
- Updated readme. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-29T18:10:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2731 | null | {
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"This seems to be working reasonably well in testing, and performance is way better. `tf.py_function` has been dropped for an input generator, but I moved as much of the code as possible outside the generator to allow TF to compile it correctly. I also avoid `tf.RaggedTensor` at all costs, and do the shuffle in the... | null | [] | Adding to_tf_dataset method | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2731/timeline | Oh my **god** do not merge this yet, it's just a draft.
I've added a method (via a mixin) to the `arrow_dataset.Dataset` class that automatically converts our Dataset classes to TF Dataset classes ready for training. It hopefully has most of the features we want, including streaming from disk (no need to load the wh... | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-07-29T15:59:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/2730 | null | {
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"cc @patrickvonplaten?",
"Does anybody know if there is a bundled link, which would allow direct data download instead of manual? \r\nSomething similar to: `https://voice-prod-bundler-ee1969a6ce8178826482b88e843c335139bd3fb4.s3.amazonaws.com/cv-corpus-6.1-2020-12-11/ab.tar.gz` ? cc @patil-suraj \r\n",
"Also see... | null | [
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] | Update CommonVoice with new release | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2730/timeline | ## Adding a Dataset
- **Name:** CommonVoice mid-2021 release
- **Description:** more data in CommonVoice: Languages that have increased the most by percentage are Thai (almost 20x growth, from 12 hours to 250 hours), Luganda (almost 9x growth, from 8 to 80), Esperanto (7x growth, from 100 to 840), and Tamil (almost 8... | https://api.github.com/repos/huggingface/datasets | null | 955,987,834 | https://api.github.com/repos/huggingface/datasets/issues/2730/comments | MDU6SXNzdWU5NTU5ODc4MzQ= | null | 2,730 | https://api.github.com/repos/huggingface/datasets/issues/2730/events | false |
closed | 2021-07-29T14:47:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/2729 | null | {
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] | Fix IndexError while loading Arabic Billion Words dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2729/timeline | Catch `IndexError` and ignore that record.
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"Launching simultaneous job relying on the same datasets try some writing issue. I guess it is unexpected since I only need to load some already downloaded file.",
"If i have two jobs that use the same dataset. I got :\r\n\r\n\r\n File \"compute_measures.py\", line 181, in <module>\r\n train_loader, val_loade... | null | [
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] | Concurrent use of same dataset (already downloaded) | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2728/timeline | ## Describe the bug
When launching several jobs at the same time loading the same dataset trigger some errors see (last comments).
## Steps to reproduce the bug
export HF_DATASETS_CACHE=/gpfswork/rech/toto/datasets
for MODEL in "bert-base-uncased" "roberta-base" "distilbert-base-cased"; do # "bert-base-uncased" ... | https://api.github.com/repos/huggingface/datasets | null | 955,892,970 | https://api.github.com/repos/huggingface/datasets/issues/2728/comments | MDU6SXNzdWU5NTU4OTI5NzA= | null | 2,728 | https://api.github.com/repos/huggingface/datasets/issues/2728/events | false |
closed | 2021-07-29T12:53:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/2727 | {
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"I modified the dataset loading script to catch the `IndexError` and inspect the records at which the error is happening, and I found this:\r\nFor the `Techreen` config, the error happens in 36 records when trying to find the `Text` or `Dateline` tags. All these 36 records look something like:\r\n```\r\n<Techreen>\... | completed | [
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] | Error in loading the Arabic Billion Words Corpus | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2727/timeline | ## Describe the bug
I get `IndexError: list index out of range` when trying to load the `Techreen` and `Almustaqbal` configs of the dataset.
## Steps to reproduce the bug
```python
load_dataset("arabic_billion_words", "Techreen")
load_dataset("arabic_billion_words", "Almustaqbal")
```
## Expected results
Th... | https://api.github.com/repos/huggingface/datasets | null | 955,812,149 | https://api.github.com/repos/huggingface/datasets/issues/2727/comments | MDU6SXNzdWU5NTU4MTIxNDk= | null | 2,727 | https://api.github.com/repos/huggingface/datasets/issues/2727/events | false |
closed | 2021-07-29T10:03:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/2726 | null | {
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closed | 2021-07-28T16:13:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/2725 | null | {
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closed | 2021-07-28T14:24:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2724 | {
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"I guess the issue is when computing the ETags of the remote files. Indeed `use_auth_token` must be passed to `request_etags` here:\r\n\r\nhttps://github.com/huggingface/datasets/blob/35b5e4bc0cb2ed896e40f3eb2a4aa3de1cb1a6c5/src/datasets/builder.py#L160-L160",
"Yes, I remember having properly implemented that: \r... | completed | [
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] | 404 Error when loading remote data files from private repo | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2724/timeline | ## Describe the bug
When loading remote data files from a private repo, a 404 error is raised.
## Steps to reproduce the bug
```python
url = hf_hub_url("lewtun/asr-preds-test", "preds.jsonl", repo_type="dataset")
dset = load_dataset("json", data_files=url, use_auth_token=True)
# HTTPError: 404 Client Error: Not... | https://api.github.com/repos/huggingface/datasets | null | 954,919,607 | https://api.github.com/repos/huggingface/datasets/issues/2724/comments | MDU6SXNzdWU5NTQ5MTk2MDc= | null | 2,724 | https://api.github.com/repos/huggingface/datasets/issues/2724/events | false |
closed | 2021-07-28T13:36:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/2723 | null | {
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We correct the values of `en` subset concerning the expected validation values (both `num_bytes` and `num_examples`.
Instead of having:
`{"name": "validation", "num_bytes": 828589180707, "num_examples": 364868892, "dataset_name": "c4"}`
We replace with correct values:
`{"name": "vali... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-28T03:52:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/2722 | null | {
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"This could be solved by going to the glue/ directory and delete sst2 directory, then load the dataset again will help you redownload the dataset.",
"Hi ! Not sure why this file was missing, but yes the way to fix this is to delete the sst2 directory and to reload the dataset"
] | completed | [
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`glue_dataset = datasets.load_dataset('glue', 'sst2')`
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closed | 2021-07-27T20:23:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2721 | null | {
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"Hi ! I did a change for this test already in #2662 :\r\n\r\nhttps://github.com/huggingface/datasets/blob/00686c46b7aaf6bfcd4102cec300a3c031284a5a/tests/test_load.py#L312-L316\r\n\r\n(though I have to change the variable name `m_combined_path` to `m_url` or something)\r\n\r\nI guess it's ok to remove this check for... | null | [] | Deal with the bad check in test_load.py | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2721/timeline | This PR removes a check that's been added in #2684. My intention with this check was to capture an URL in the error message, but instead, it captures a substring of the previous regex match in the test function. Another option would be to replace this check with:
```python
m_paths = re.findall(r"\S*_dummy/_dummy.py\b... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-27T15:50:17Z | null | https://api.github.com/repos/huggingface/datasets/issues/2720 | null | {
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open | 2021-07-27T14:17:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/2719 | null | {
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"default": fals... | Use ETag in streaming mode to detect resource updates | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2719/timeline | **Is your feature request related to a problem? Please describe.**
I want to cache data I generate from processing a dataset I've loaded in streaming mode, but I've currently no way to know if the remote data has been updated or not, thus I don't know when to invalidate my cache.
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closed | 2021-07-26T23:15:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/2718 | null | {
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"I just did some minor changes + added some content in these sections: share, about arrow, about cache\r\n\r\nFeel free to mark this PR as ready for review ! :)",
"I just separated the `Share` How-to page into three pages: share, dataset_script and dataset_card.\r\n\r\nThis way in the share page we can explain in... | null | [] | New documentation structure | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2718/timeline | Organize Datasets documentation into four documentation types to improve clarity and discoverability of content.
**Content to add in the very short term (feel free to add anything I'm missing):**
- A discussion on why Datasets uses Arrow that includes some context and background about why we use Arrow. Would also b... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-26T14:42:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/2717 | null | {
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"gi... | https://github.com/huggingface/datasets/pull/2717 | [] | false | 2021-07-26T18:04:14Z | 2021-07-26T16:30:06Z | null | [] | null | [] | Fix shuffle on IterableDataset that disables batching in case any functions were mapped | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2717/timeline | Made a very minor change to fix the issue#2716. Added the missing argument in the constructor call.
As discussed in the bug report, the change is made to prevent the `shuffle` method call from resetting the value of `batched` attribute in `MappedExamplesIterable`
Fix #2716. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-26T13:24:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/2716 | null | {
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"Hi :) Good catch ! Feel free to open a PR if you want to contribute, this would be very welcome ;)",
"Have raised the PR [here](https://github.com/huggingface/datasets/pull/2717)",
"Fixed by #2717."
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] | Calling shuffle on IterableDataset will disable batching in case any functions were mapped | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2716/timeline | When using dataset in streaming mode, if one applies `shuffle` method on the dataset and `map` method for which `batched=True` than the batching operation will not happen, instead `batched` will be set to `False`
I did RCA on the dataset codebase, the problem is emerging from [this line of code](https://github.com/h... | https://api.github.com/repos/huggingface/datasets | null | 952,902,778 | https://api.github.com/repos/huggingface/datasets/issues/2716/comments | MDU6SXNzdWU5NTI5MDI3Nzg= | null | 2,716 | https://api.github.com/repos/huggingface/datasets/issues/2716/events | false |
closed | 2021-07-26T12:21:17Z | null | https://api.github.com/repos/huggingface/datasets/issues/2715 | null | {
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"Merging since the CI is just about missing infos in the dataset card"
] | null | [] | Update PAN-X data URL in XTREME dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2715/timeline | Related to #2710, #2691. | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-07-26T07:11:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/2714 | null | {
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"We already have this information in the dataset_infos.json files of each dataset.\r\nMaybe we can parse these files in the backend to return their content with the endpoint at huggingface.co/api/datasets\r\n\r\nFor now if you want to access this info you have to load the json for each dataset. For example:\r\n- fo... | null | [
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] | add more precise information for size | NONE | https://api.github.com/repos/huggingface/datasets/issues/2714/timeline | For the import into ELG, we would like a more precise description of the size of the dataset, instead of the current size categories. The size can be expressed in bytes, or any other preferred size unit. As suggested in the slack channel, perhaps this could be computed with a regex for existing datasets. | https://api.github.com/repos/huggingface/datasets | null | 952,580,820 | https://api.github.com/repos/huggingface/datasets/issues/2714/comments | MDU6SXNzdWU5NTI1ODA4MjA= | null | 2,714 | https://api.github.com/repos/huggingface/datasets/issues/2714/events | false |
closed | 2021-07-26T05:22:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/2713 | null | {
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- Enumerate all ner_tags in dataset card Data Fields section
- Add all metadata tags to dataset card
Close #2709. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-23T16:29:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/2710 | null | {
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"We have to update the URL in the XTREME benchmark as well:\r\n\r\nhttps://github.com/huggingface/datasets/blob/0dfc639cec450ed8762a997789a2ed63e63cdcf2/datasets/xtreme/xtreme.py#L411-L411\r\n\r\n"
] | null | [] | Update WikiANN data URL | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2710/timeline | WikiANN data source URL is no longer accessible: 404 error from Dropbox.
We have decided to host it at Hugging Face. This PR updates the data source URL, the metadata JSON file and the dataset card.
Close #2691. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-23T12:25:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/2709 | {
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"Hi @maxpel, thanks for reporting this issue.\r\n\r\nIndeed, the documentation in the dataset card is not complete. I’m opening a Pull Request to fix it.\r\n\r\nAs the paper explains, there are 6 entity types and we have ordered them alphabetically: `corporation`, `creative-work`, `group`, `location`, `person` and ... | completed | [
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] | Missing documentation for wnut_17 (ner_tags) | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2709/timeline | On the info page of the wnut_17 data set (https://huggingface.co/datasets/wnut_17), the model output of ner-tags is only documented for these 5 cases:
`ner_tags: a list of classification labels, with possible values including O (0), B-corporation (1), I-corporation (2), B-creative-work (3), I-creative-work (4).`
... | https://api.github.com/repos/huggingface/datasets | null | 951,534,757 | https://api.github.com/repos/huggingface/datasets/issues/2709/comments | MDU6SXNzdWU5NTE1MzQ3NTc= | null | 2,709 | https://api.github.com/repos/huggingface/datasets/issues/2709/events | false |
closed | 2021-07-22T21:59:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/2708 | null | {
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"Hi @danyaljj, thanks for reporting.\r\n\r\nUnfortunately, I have not been able to reproduce your problem. My train split has 8134 examples:\r\n```ipython\r\nIn [10]: ds[\"train\"]\r\nOut[10]:\r\nDataset({\r\n features: ['id', 'question', 'choices', 'answerKey', 'fact1', 'fact2', 'combinedfact', 'formatted_quest... | completed | [
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] | QASC: incomplete training set | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2708/timeline | ## Describe the bug
The training instances are not loaded properly.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("qasc", script_version='1.10.2')
def load_instances(split):
instances = dataset[split]
print(f"split: {split} - size: {len(instanc... | https://api.github.com/repos/huggingface/datasets | null | 951,092,660 | https://api.github.com/repos/huggingface/datasets/issues/2708/comments | MDU6SXNzdWU5NTEwOTI2NjA= | null | 2,708 | https://api.github.com/repos/huggingface/datasets/issues/2708/events | false |
closed | 2021-07-22T15:52:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/2707 | null | {
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"Hi @dwil2444! I was able to reproduce your error when I downgraded to v1.1.2. Updating to the latest version of Datasets fixed the error for me :)",
"Hi @dwil2444, thanks for reporting.\r\n\r\nCould you please confirm which `datasets` version you were using and if the problem persists after you update it to the ... | completed | [] | 404 Not Found Error when loading LAMA dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2707/timeline | The [LAMA](https://huggingface.co/datasets/viewer/?dataset=lama) probing dataset is not available for download:
Steps to Reproduce:
1. `from datasets import load_dataset`
2. `dataset = load_dataset('lama', 'trex')`.
Results:
`FileNotFoundError: Couldn't find file locally at lama/lama.py, or remotely ... | https://api.github.com/repos/huggingface/datasets | null | 950,812,945 | https://api.github.com/repos/huggingface/datasets/issues/2707/comments | MDU6SXNzdWU5NTA4MTI5NDU= | null | 2,707 | https://api.github.com/repos/huggingface/datasets/issues/2707/events | false |
closed | 2021-07-22T12:29:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/2706 | null | {
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closed | 2021-07-22T09:55:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/2705 | null | {
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"Hi @ronbutan, thanks for reporting.\r\n\r\nYou are right: we have recently found that the link to the original PAN-X dataset (also called WikiANN), hosted at Dropbox, is no longer working.\r\n\r\nWe have opened an issue in the GitHub repository of the original dataset (afshinrahimi/mmner#4) and we have also contac... | completed | [
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] | 404 not found error on loading WIKIANN dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2705/timeline | ## Describe the bug
Unable to retreive wikiann English dataset
## Steps to reproduce the bug
```python
from datasets import list_datasets, load_dataset, list_metrics, load_metric
WIKIANN = load_dataset("wikiann","en")
```
## Expected results
Colab notebook should display successful download status
## Act... | https://api.github.com/repos/huggingface/datasets | null | 950,488,583 | https://api.github.com/repos/huggingface/datasets/issues/2705/comments | MDU6SXNzdWU5NTA0ODg1ODM= | null | 2,705 | https://api.github.com/repos/huggingface/datasets/issues/2705/events | false |
closed | 2021-07-22T09:49:43Z | null | https://api.github.com/repos/huggingface/datasets/issues/2704 | null | {
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This is because in the code it was considering the config kwargs to be non-empty, which is a special case for custom configs created on the fly. It appears after this change: https://github.com/huggingface/datasets/pull/2659
I fixed that by ma... | https://api.github.com/repos/huggingface/datasets | {
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However in `datasets` 1.10.0 and 1.10.1 it doesn't show the right message:
```python
import datasets
datasets.load_dataset("glue")
```
raises
```python
AttributeError: 'Bui... | https://api.github.com/repos/huggingface/datasets | null | 950,482,284 | https://api.github.com/repos/huggingface/datasets/issues/2703/comments | MDU6SXNzdWU5NTA0ODIyODQ= | null | 2,703 | https://api.github.com/repos/huggingface/datasets/issues/2703/events | false |
closed | 2021-07-22T09:04:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/2702 | null | {
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closed | 2021-07-22T03:51:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2700 | null | {
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"Hi @kswamy15, thanks for reporting.\r\n\r\nWe are fixing this critical issue and making an urgent patch release of the `datasets` library today.\r\n\r\nIn the meantime, you can circumvent this issue by updating the `tqdm` library: `!pip install -U tqdm`"
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] | from datasets import Dataset is failing | NONE | https://api.github.com/repos/huggingface/datasets/issues/2700/timeline | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import Dataset
```
## Expected results
A clear and concise description of the expected results.
## Actual results
Specify the actual results or... | https://api.github.com/repos/huggingface/datasets | null | 950,276,325 | https://api.github.com/repos/huggingface/datasets/issues/2700/comments | MDU6SXNzdWU5NTAyNzYzMjU= | null | 2,700 | https://api.github.com/repos/huggingface/datasets/issues/2700/events | false |
open | 2021-07-22T01:13:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2699 | null | {
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"Hi ! That's missing indeed. We'll try to implement this for the next version :)\r\n\r\nI guess we just need to implement #2564 first, and then we should be able to add support for splits combinations"
] | null | [
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] | cannot combine splits merging and streaming? | NONE | https://api.github.com/repos/huggingface/datasets/issues/2699/timeline | this does not work:
`dataset = datasets.load_dataset('mc4','iw',split='train+validation',streaming=True)`
with error:
`ValueError: Bad split: train+validation. Available splits: ['train', 'validation']`
these work:
`dataset = datasets.load_dataset('mc4','iw',split='train+validation')`
`dataset = datasets.load_d... | https://api.github.com/repos/huggingface/datasets | null | 950,221,226 | https://api.github.com/repos/huggingface/datasets/issues/2699/comments | MDU6SXNzdWU5NTAyMjEyMjY= | null | 2,699 | https://api.github.com/repos/huggingface/datasets/issues/2699/events | false |
closed | 2021-07-21T22:35:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/2698 | null | {
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This is my first attempt at fixing the issue. I tested the following:
- First batch returned by a batched map operation is empty.
- An intermediate batch is empty.
- `python -m unittest tests.test_arrow_writer` passes.
However, `ar... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-21T19:03:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/2697 | null | {
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"@lhoestq @albertvillanova - It might be a good idea to have a patch release after this gets merged (presumably tomorrow morning when you're around). The Colab issue linked to this PR is a pretty big blocker. "
] | null | [] | Fix import on Colab | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2697/timeline | Fix #2695, fix #2700. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-21T16:34:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/2696 | null | {
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"The CI failure seems unrelated to this PR (probably has something to do with Transformers)."
] | null | [] | Add support for disable_progress_bar on Windows | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2696/timeline | This PR is a continuation of #2667 and adds support for `utils.disable_progress_bar()` on Windows when using multiprocessing. This [answer](https://stackoverflow.com/a/6596695/14095927) on SO explains it nicely why the current approach (with calling `utils.is_progress_bar_enabled()` inside `Dataset._map_single`) would ... | https://api.github.com/repos/huggingface/datasets | {
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"I'm facing the same issue on Colab today too.\r\n\r\n```\r\nModuleNotFoundError Traceback (most recent call last)\r\n<ipython-input-4-5833ac0f5437> in <module>()\r\n 3 \r\n 4 from ray import tune\r\n----> 5 from datasets import DatasetDict, Dataset\r\n 6 from datasets import lo... | completed | [
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] | Cannot import load_dataset on Colab | NONE | https://api.github.com/repos/huggingface/datasets/issues/2695/timeline | ## Describe the bug
Got tqdm concurrent module not found error during importing load_dataset from datasets.
## Steps to reproduce the bug
Here [colab notebook](https://colab.research.google.com/drive/1pErWWnVP4P4mVHjSFUtkePd8Na_Qirg4?usp=sharing) to reproduce the error
On colab:
```python
!pip install dataset... | https://api.github.com/repos/huggingface/datasets | null | 949,864,823 | https://api.github.com/repos/huggingface/datasets/issues/2695/comments | MDU6SXNzdWU5NDk4NjQ4MjM= | null | 2,695 | https://api.github.com/repos/huggingface/datasets/issues/2695/events | false |
closed | 2021-07-21T15:30:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/2694 | null | {
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characters `[]` are special characters in bash | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-21T14:43:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/2693 | null | {
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```python
from datasets import load_dataset
raw_datasets = load_dataset("oscar", "unshuffled_original_eo")
```
raises
```python
NonMatchingSplitsSizesError:
[{'expected': SplitInfo(name='train', num_bytes=314188336, num_examples=121171, da... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-21T14:23:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/2692 | null | {
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closed | 2021-07-21T14:18:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/2691 | null | {
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"Hi @severo, thanks for reporting.\r\n\r\nHowever I have not been able to reproduce this issue. Could you please confirm if the problem persists for you?\r\n\r\nMaybe Dropbox (where the data source is hosted) was temporarily unavailable when you tried.",
"Hmmm, the file (https://www.dropbox.com/s/dl/12h3qqog6q4bj... | completed | [
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] | xtreme / pan-x cannot be downloaded | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2691/timeline | ## Describe the bug
Dataset xtreme / pan-x cannot be loaded
Seems related to https://github.com/huggingface/datasets/pull/2326
## Steps to reproduce the bug
```python
dataset = load_dataset("xtreme", "PAN-X.fr")
```
## Expected results
Load the dataset
## Actual results
```
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closed | 2021-07-21T10:43:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/2690 | null | {
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"Thanks for all the comments and for the corrections in the docs !\r\n\r\nAbout all the points you mentioned:\r\n\r\n> * the code samples assume the expected libraries have already been installed. Maybe add a section at start, or add it to every code sample. Something like `pip install datasets transformers torch ... | null | [] | Docs details | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2690/timeline | Some comments here:
- the code samples assume the expected libraries have already been installed. Maybe add a section at start, or add it to every code sample. Something like `pip install datasets transformers torch 'datasets[streaming]'` (maybe just link to https://huggingface.co/docs/datasets/installation.html + ... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-21T08:13:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/2689 | null | {
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"Hi ! That's because you are trying to overwrite a file that is already open and being used.\r\nIndeed `foo/dataset.arrow` is open and used by your `dataset` object.\r\n\r\nWhen you do `rename_column`, the resulting dataset reads the data from the same arrow file.\r\nIn other cases like when using `map` on the othe... | completed | [
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] | cannot save the dataset to disk after rename_column | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2689/timeline | ## Describe the bug
If you use `rename_column` and do no other modification, you will be unable to save the dataset using `save_to_disk`
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
In [1]: from datasets import Dataset, load_from_disk
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closed | 2021-07-20T23:13:52Z | null | https://api.github.com/repos/huggingface/datasets/issues/2688 | null | {
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"Hi @eyaler, thanks for reporting.\r\n\r\nWhile you are true with respect the Hebrew language tag (\"iw\" is deprecated and \"he\" is the preferred value), in the \"mc4\" dataset (which is a derived dataset) we have kept the language tags present in the original dataset: [Google C4](https://www.tensorflow.org/datas... | completed | [
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closed | 2021-07-20T17:43:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2687 | null | {
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closed | 2021-07-20T16:00:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/2686 | null | {
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Since the config_id is used to name the cache directories, this leaded to datasets being regenerated for users.
I fixed this by ignoring the value of `data_dir` when it's `None` when computing... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-20T15:44:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/2685 | null | {
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"Normally, I'm expecting errors from the validation of the README file... 😅 ",
"That is:\r\n```\r\n=========================== short test summary info ============================\r\nFAILED tests/test_dataset_cards.py::test_changed_dataset_card[blog_authorship_corpus]\r\n==== 1 failed, 3182 passed, 2763 skipped,... | null | [] | Fix Blog Authorship Corpus dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2685/timeline | This PR:
- Update the JSON metadata file, which previously was raising a `NonMatchingSplitsSizesError`
- Fix the codec of the data files (`latin_1` instead of `utf-8`), which previously was raising ` UnicodeDecodeError` for some files
Close #2679. | https://api.github.com/repos/huggingface/datasets | {
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"gists... | false | 2021-07-20T16:27:15Z | 2021-07-20T16:27:15Z | null | [] | completed | [] | Cache directories changed due to recent changes in how config kwargs are handled | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2683/timeline | Since #2659 I can see weird cache directory names with hashes in the config id, even though no additional config kwargs are passed. For example:
```python
from datasets import load_dataset_builder
c4_builder = load_dataset_builder("c4", "en")
print(c4_builder.cache_dir)
# /Users/quentinlhoest/.cache/huggingfac... | https://api.github.com/repos/huggingface/datasets | null | 948,721,379 | https://api.github.com/repos/huggingface/datasets/issues/2683/comments | MDU6SXNzdWU5NDg3MjEzNzk= | null | 2,683 | https://api.github.com/repos/huggingface/datasets/issues/2683/events | false |
closed | 2021-07-20T14:29:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/2682 | null | {
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Fix https://github.com/huggingface/datasets/issues/2677 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-20T14:25:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/2681 | null | {
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"Yes this was documented in the PR that added this hf->paperswithcode mapping (https://github.com/huggingface/datasets/pull/2404) and AFAICT those are slightly distinct datasets so I think it's a wontfix\r\n\r\nFor context on the paperswithcode mapping you can also refer to https://github.com/huggingface/huggingfac... | completed | [
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] | 5 duplicate datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2681/timeline | ## Describe the bug
In 5 cases, I could find a dataset on Paperswithcode which references two Hugging Face datasets as dataset loaders. They are:
- https://paperswithcode.com/dataset/multinli -> https://huggingface.co/datasets/multi_nli and https://huggingface.co/datasets/multi_nli_mismatch
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https://paperswithcode.com/dataset/qasper | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-20T10:13:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2679 | {
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"Hi @izaskr, thanks for reporting.\r\n\r\nHowever the traceback you joined does not correspond to the codec error message: it is about other error `NonMatchingSplitsSizesError`. Maybe you missed some important part of your traceback...\r\n\r\nI'm going to have a look at the dataset anyway...",
"Hi @izaskr, thanks... | completed | [
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] | Cannot load the blog_authorship_corpus due to codec errors | NONE | https://api.github.com/repos/huggingface/datasets/issues/2679/timeline | ## Describe the bug
A codec error is raised while loading the blog_authorship_corpus.
## Steps to reproduce the bug
```
from datasets import load_dataset
raw_datasets = load_dataset("blog_authorship_corpus")
```
## Expected results
Loading the dataset without errors.
## Actual results
An error simila... | https://api.github.com/repos/huggingface/datasets | null | 948,506,638 | https://api.github.com/repos/huggingface/datasets/issues/2679/comments | MDU6SXNzdWU5NDg1MDY2Mzg= | null | 2,679 | https://api.github.com/repos/huggingface/datasets/issues/2679/events | false |
closed | 2021-07-20T09:28:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/2678 | null | {
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"This looks like an issue with PyArrow. Did you try reinstalling it ?",
"@lhoestq I did, and then let pip handle the installation in `pip import datasets`. I also tried using conda but it gives the same error.\r\n\r\nEdit: pyarrow version on kaggle is 4.0.0, it gets replaced with 4.0.1. So, I don't think uninstal... | completed | [
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] | Import Error in Kaggle notebook | NONE | https://api.github.com/repos/huggingface/datasets/issues/2678/timeline | ## Describe the bug
Not able to import datasets library in kaggle notebooks
## Steps to reproduce the bug
```python
!pip install datasets
import datasets
```
## Expected results
No such error
## Actual results
```
ImportError Traceback (most recent call last)
<ipython-inp... | https://api.github.com/repos/huggingface/datasets | null | 948,471,222 | https://api.github.com/repos/huggingface/datasets/issues/2678/comments | MDU6SXNzdWU5NDg0NzEyMjI= | null | 2,678 | https://api.github.com/repos/huggingface/datasets/issues/2678/events | false |
closed | 2021-07-20T08:37:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/2677 | {
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"Hi Thanks for reporting !\r\nIt looks like these files are not correctly reported in the list of expected files to download, let me fix that ;)",
"Alright this is fixed now. We'll do a new release soon to make the fix available.\r\n\r\nIn the meantime feel free to simply pass `ignore_verifications=True` to `load... | completed | [
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] | Error when downloading C4 | NONE | https://api.github.com/repos/huggingface/datasets/issues/2677/timeline | Hi,
I am trying to download `en` corpus from C4 dataset. However, I get an error caused by validation files download (see image). My code is very primitive:
`datasets.load_dataset('c4', 'en')`
Is this a bug or do I have some configurations missing on my server?
Thanks!
<img width="1014" alt="Снимок экрана 2... | https://api.github.com/repos/huggingface/datasets | null | 948,429,788 | https://api.github.com/repos/huggingface/datasets/issues/2677/comments | MDU6SXNzdWU5NDg0Mjk3ODg= | null | 2,677 | https://api.github.com/repos/huggingface/datasets/issues/2677/events | false |
closed | 2021-07-19T14:51:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/2676 | null | {
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For example this one:
https://huggingface.co/datasets/thomwolf/codeparrot/resolve/main/file-000000000006.json.gz
raises a pyarrow error:
```python
ArrowInvalid: straddling object straddles two block boundaries (try to increa... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-19T13:30:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/2675 | null | {
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- Fix parameter name: `smooth` to `smooth_method`.
- Improve kwargs description.
- Align docs on using a metric.
- Add example of passing additional arguments in using metrics.
Related to #2669. | https://api.github.com/repos/huggingface/datasets | {
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- Fix potential DiplicatedKeysError by ensuring keys are unique.
- Align examples in the docs with SQuAD code.
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). | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-19T06:00:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/2672 | null | {
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- Fix unnecessary path join.
- Fix potential DiplicatedKeysError by ensuring keys are unique.
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). | https://api.github.com/repos/huggingface/datasets | {
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"It'll be new pull request with new commits."
] | null | [] | Mesinesp development and training data sets have been added. | NONE | https://api.github.com/repos/huggingface/datasets/issues/2671/timeline | https://zenodo.org/search?page=1&size=20&q=mesinesp, Mesinesp has Medical Semantic Indexed records in Spanish. Indexing is done using DeCS codes, a sort of Spanish equivalent to MeSH terms.
The Mesinesp (Spanish BioASQ track, see https://temu.bsc.es/mesinesp) development set has a total of 750 records.
The Mesinesp ... | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-07-18T21:26:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/2670 | null | {
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] | Using sharding to parallelize indexing | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2670/timeline | **Is your feature request related to a problem? Please describe.**
Creating an elasticsearch index on large dataset could be quite long and cannot be parallelized on shard (the index creation is colliding)
**Describe the solution you'd like**
When working on dataset shards, if an index already exists, its mapping ... | https://api.github.com/repos/huggingface/datasets | null | 947,120,709 | https://api.github.com/repos/huggingface/datasets/issues/2670/comments | MDU6SXNzdWU5NDcxMjA3MDk= | null | 2,670 | https://api.github.com/repos/huggingface/datasets/issues/2670/events | false |
closed | 2021-07-18T08:32:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/2669 | {
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"Hi @BramVanroy, thanks for reporting.\r\n\r\nFirst, note that `\"min\"` is not an allowed value for `average`. According to scikit-learn [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html), `average` can only take the values: `{\"micro\", \"macro\", \"samples\", \"weigh... | completed | [
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] | Metric kwargs are not passed to underlying external metric f1_score | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2669/timeline | ## Describe the bug
When I want to use F1 score with average="min", this keyword argument does not seem to be passed through to the underlying sklearn metric. This is evident because [sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html) throws an error telling me so.
## Steps to... | https://api.github.com/repos/huggingface/datasets | null | 946,982,998 | https://api.github.com/repos/huggingface/datasets/issues/2669/comments | MDU6SXNzdWU5NDY5ODI5OTg= | null | 2,669 | https://api.github.com/repos/huggingface/datasets/issues/2669/events | false |
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"Added the missing label classes and their explanations (to the best of my understanding)",
"Thanks a lot ! Once the last comment about the label names is addressed we can merge :)"
] | null | [] | Add Russian SuperGLUE | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2668/timeline | Hi,
This adds the [Russian SuperGLUE](https://russiansuperglue.com/) dataset. For the most part I reused the code for the original SuperGLUE, although there are some relatively minor differences in the structure that I accounted for. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-17T17:06:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/2667 | null | {
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"The current CI failure is due to modifications in the dataset script.",
"Merging since the CI is only failing because of dataset card issues, which is unrelated to this PR"
] | null | [] | Use tqdm from tqdm_utils | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2667/timeline | This PR replaces `tqdm` from the `tqdm` lib with `tqdm` from `datasets.utils.tqdm_utils`. With this change, it's possible to disable progress bars just by calling `disable_progress_bar`. Note this doesn't work on Windows when using multiprocessing due to how global variables are shared between processes. Currently, the... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-17T13:32:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/2666 | null | {
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"Thanks for your contribution, @arampacha. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if... | null | [
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"Hi @stas00, \r\nI want to work on this issue and I was thinking why don't we use `imap` [in this loop](https://github.com/huggingface/datasets/blob/440b14d0dd428ae1b25881aa72ba7bbb8ad9ff84/src/datasets/io/json.py#L99)? This way, using offset (which is being used to slice the pyarrow table) we can convert pyarrow ... | completed | [
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] | [`to_json`] add multi-proc sharding support | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2663/timeline | As discussed on slack it appears that `to_json` is quite slow on huge datasets like OSCAR.
I implemented sharded saving, which is much much faster - but the tqdm bars all overwrite each other, so it's hard to make sense of the progress, so if possible ideally this multi-proc support could be implemented internally i... | https://api.github.com/repos/huggingface/datasets | null | 946,552,273 | https://api.github.com/repos/huggingface/datasets/issues/2663/comments | MDU6SXNzdWU5NDY1NTIyNzM= | null | 2,663 | https://api.github.com/repos/huggingface/datasets/issues/2663/events | false |
closed | 2021-07-16T17:21:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2662 | null | {
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"This is ready for review now :)\r\n\r\nI would love to have some feedback on the changes in load.py @albertvillanova. There are many changes so if you have questions let me know, especially on the `resolve_data_files` functions and on the changes in `prepare_module`.\r\n\r\nAnd @thomwolf if you want to take a look... | null | [] | Load Dataset from the Hub (NO DATASET SCRIPT) | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2662/timeline | ## Load the data from any Dataset repository on the Hub
This PR adds support for loading datasets from any dataset repository on the hub, without requiring any dataset script.
As a user it's now possible to create a repo and upload some csv/json/text/parquet files, and then be able to load the data in one line. H... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-16T16:43:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/2661 | null | {
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"I make a summary about our discussion with @lewtun and @Narsil on the agreed schema for this dataset and the additional steps required to generate the 2D array labels:\r\n- The labels for this dataset are a 2D array:\r\n Given an example:\r\n ```python\r\n {\"record_id\": record_id, \"file\": file, \"start\": s... | null | [] | Add SD task for SUPERB | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2661/timeline | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
TODO:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Upl... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-16T13:53:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/2660 | null | {
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"@lhoestq This one has been open for a while. Could you please take a look?",
"@lhoestq Ready for the final review!",
"I forgot to update the signature of `DatasetDict.map`, so did that now."
] | null | [] | Move checks from _map_single to map | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2660/timeline | The goal of this PR is to remove duplicated checks in the `map` logic to execute them only once whenever possible (`fn_kwargs`, `input_columns`, ...). Additionally, this PR improves the consistency (to align it with `input_columns`) of the `remove_columns` check by adding support for a single string value, which is the... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-16T10:25:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/2659 | null | {
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The dataset config kwargs that were set to None we simply ignored.
This was an issue when None has some meaning for certain parameters of certain builders, like the `sep` parameter of the "csv" builder that allows to infer to separator.
cc @SBrandeis | https://api.github.com/repos/huggingface/datasets | {
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"gists... | false | 2021-07-16T12:46:06Z | 2021-07-16T12:46:06Z | null | [] | completed | [] | Can't pass `sep=None` to load_dataset("csv", ...) to infer the separator via pandas.read_csv | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2658/timeline | When doing `load_dataset("csv", sep=None)`, the `sep` passed to `pd.read_csv` is still the default `sep=","` instead, which makes it impossible to make the csv loader infer the separator.
Related to https://github.com/huggingface/datasets/pull/2656
cc @SBrandeis | https://api.github.com/repos/huggingface/datasets | null | 946,139,532 | https://api.github.com/repos/huggingface/datasets/issues/2658/comments | MDU6SXNzdWU5NDYxMzk1MzI= | null | 2,658 | https://api.github.com/repos/huggingface/datasets/issues/2658/events | false |
open | 2021-07-15T23:32:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/2657 | null | {
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] | `to_json` reporting enhancements | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2657/timeline | While using `to_json` 2 things came to mind that would have made the experience easier on the user:
1. Could we have a `desc` arg for the tqdm use and a fallback to just `to_json` so that it'd be clear to the user what's happening? Surely, one can just print the description before calling json, but I thought perhaps... | https://api.github.com/repos/huggingface/datasets | null | 945,822,829 | https://api.github.com/repos/huggingface/datasets/issues/2657/comments | MDU6SXNzdWU5NDU4MjI4Mjk= | null | 2,657 | https://api.github.com/repos/huggingface/datasets/issues/2657/events | false |
closed | 2021-07-15T14:09:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/2656 | null | {
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"This is not the default in pandas right ?\r\nWe try to align our CSV loader with the pandas API.\r\n\r\nMoreover according to their documentation, the python parser is used when sep is None, which might not be the fastest one.\r\n\r\nMaybe users could just specify `sep=None` themselves ?\r\nIn this case we should ... | null | [] | Change `from_csv` default arguments | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2656/timeline | Passing `sep=None` to pandas's `read_csv` lets pandas guess the CSV file's separator
This PR allows users to use this pandas's feature by passing `sep=None` to `Dataset.from_csv`:
```python
Dataset.from_csv(
...,
sep=None
)
``` | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-07-15T13:30:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/2655 | null | {
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"Hi! I was looking into this and hope you can clarify a point. Your my_dataset variable would be of type DatasetDict which means the alternative you've described (dict comprehension) is what makes sense. \r\nIs there a reason why you wouldn't want to convert my_dataset to a pandas df if you'd like to use it like on... | completed | [
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] | Allow the selection of multiple columns at once | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2655/timeline | **Is your feature request related to a problem? Please describe.**
Similar to pandas, it would be great if we could select multiple columns at once.
**Describe the solution you'd like**
```python
my_dataset = ... # Has columns ['idx', 'sentence', 'label']
idx, label = my_dataset[['idx', 'label']]
```
**... | https://api.github.com/repos/huggingface/datasets | null | 945,382,723 | https://api.github.com/repos/huggingface/datasets/issues/2655/comments | MDU6SXNzdWU5NDUzODI3MjM= | null | 2,655 | https://api.github.com/repos/huggingface/datasets/issues/2655/events | false |
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"#self-assign",
"I understand it already raises a `NotImplementedError` exception, eg:\r\n\r\n```\r\n>>> dataset = load_dataset(\"journalists_questions\", name=\"plain_text\", split=\"train\", streaming=True)\r\n\r\n[...]\r\nNotImplementedError: Extraction protocol for file at https://drive.google.com/uc?export=d... | null | [
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] | Give a user feedback if the dataset he loads is streamable or not | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2654/timeline | **Is your feature request related to a problem? Please describe.**
I would love to know if a `dataset` is with the current implementation streamable or not.
**Describe the solution you'd like**
We could show a warning when a dataset is loaded with `load_dataset('...',streaming=True)` when its lot streamable, e.g.... | https://api.github.com/repos/huggingface/datasets | null | 945,167,231 | https://api.github.com/repos/huggingface/datasets/issues/2654/comments | MDU6SXNzdWU5NDUxNjcyMzE= | null | 2,654 | https://api.github.com/repos/huggingface/datasets/issues/2654/events | false |
closed | 2021-07-15T07:51:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/2653 | {
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"Note that this subset requires us to:\r\n\r\n* generate the LibriMix corpus from LibriSpeech\r\n* prepare the corpus for diarization\r\n\r\nAs suggested by @lhoestq we should perform these steps locally and add the prepared data to this public repo on the Hub: https://huggingface.co/datasets/superb/superb-data\r\n... | completed | [
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] | Add SD task for SUPERB | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2653/timeline | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
Steps:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Up... | https://api.github.com/repos/huggingface/datasets | null | 945,102,321 | https://api.github.com/repos/huggingface/datasets/issues/2653/comments | MDU6SXNzdWU5NDUxMDIzMjE= | null | 2,653 | https://api.github.com/repos/huggingface/datasets/issues/2653/events | false |
closed | 2021-07-14T23:19:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2652 | null | {
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closed | 2021-07-14T21:06:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/2651 | null | {
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"Hi,\r\n\r\nyou can suppress progress bars by patching logging as follows:\r\n```python\r\nimport datasets\r\nimport logging\r\ndatasets.logging.get_verbosity = lambda: logging.NOTSET\r\n# map call ...\r\n```\r\nEDIT: now you have to use `disable_progress_bar `",
"Thank you, it worked :)",
"See https://github.c... | completed | [
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] | Setting log level higher than warning does not suppress progress bar | NONE | https://api.github.com/repos/huggingface/datasets/issues/2651/timeline | ## Describe the bug
I would like to disable progress bars for `.map` method (and other methods like `.filter` and `load_dataset` as well).
According to #1627 one can suppress it by setting log level higher than `warning`, however doing so doesn't suppress it with version 1.9.0.
I also tried to set `DATASETS_VERBOS... | https://api.github.com/repos/huggingface/datasets | null | 944,796,961 | https://api.github.com/repos/huggingface/datasets/issues/2651/comments | MDU6SXNzdWU5NDQ3OTY5NjE= | null | 2,651 | https://api.github.com/repos/huggingface/datasets/issues/2651/events | false |
closed | 2021-07-14T18:04:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2650 | {
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"I need the same feature for distributed training",
"I think @TevenLeScao is exploring adding multiprocessing in `GeneratorBasedBuilder._prepare_split` - feel free to post updates here :)",
"Posted a PR to address the building side, still needs something to load sharded arrow files + tests",
"Closing as this ... | completed | [
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] | [load_dataset] shard and parallelize the process | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2650/timeline | - Some huge datasets take forever to build the first time. (e.g. oscar/en) as it's done in a single cpu core.
- If the build crashes, everything done up to that point gets lost
Request: Shard the build over multiple arrow files, which would enable:
- much faster build by parallelizing the build process
- if the p... | https://api.github.com/repos/huggingface/datasets | null | 944,672,565 | https://api.github.com/repos/huggingface/datasets/issues/2650/comments | MDU6SXNzdWU5NDQ2NzI1NjU= | null | 2,650 | https://api.github.com/repos/huggingface/datasets/issues/2650/events | false |
open | 2021-07-14T17:34:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/2649 | null | {
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"Is this done now? I see progress bars when using `load_dataset`.",
"There are progress bars when downloading data and when preparing them as Arrow files.\r\n\r\nThe \"total silence\" part mentioned in OP refer to checksums verifications which have had some changes in the latest release 2.10:\r\n- they're disable... | null | [
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] | adding progress bar / ETA for `load_dataset` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2649/timeline | Please consider:
```
Downloading and preparing dataset oscar/unshuffled_deduplicated_en (download: 462.40 GiB, generated: 1.18 TiB, post-processed: Unknown size, total: 1.63 TiB) to cache/oscar/unshuffled_deduplicated_en/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2...
HF google storage unre... | https://api.github.com/repos/huggingface/datasets | null | 944,651,229 | https://api.github.com/repos/huggingface/datasets/issues/2649/comments | MDU6SXNzdWU5NDQ2NTEyMjk= | null | 2,649 | https://api.github.com/repos/huggingface/datasets/issues/2649/events | false |
open | 2021-07-14T14:24:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/2648 | {
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"#take"
] | null | [
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] | Add web_split dataset for Paraphase and Rephrase benchmark | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2648/timeline | ## Describe:
For getting simple sentences from complex sentence there are dataset and task like wiki_split that is available in hugging face datasets. This web_split is a very similar dataset. There some research paper which states that by combining these two datasets we if we train the model it will yield better resu... | https://api.github.com/repos/huggingface/datasets | null | 944,484,522 | https://api.github.com/repos/huggingface/datasets/issues/2648/comments | MDU6SXNzdWU5NDQ0ODQ1MjI= | null | 2,648 | https://api.github.com/repos/huggingface/datasets/issues/2648/events | false |
closed | 2021-07-14T13:22:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/2647 | null | {
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closed | 2021-07-14T12:31:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/2646 | null | {
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"Hi ! I just tested and it worked fine today for me.\r\n\r\nI think this is because the dataset is stored on Google Drive which has a quota limit for the number of downloads per day, see this similar issue https://github.com/huggingface/datasets/issues/996 \r\n\r\nFeel free to try again today, now that the quota wa... | completed | [
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] | downloading of yahoo_answers_topics dataset failed | NONE | https://api.github.com/repos/huggingface/datasets/issues/2646/timeline | ## Describe the bug
I get an error datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files when I try to download the yahoo_answers_topics dataset
## Steps to reproduce the bug
self.dataset = load_dataset(
'yahoo_answers_topics', cache_dir=self.config... | https://api.github.com/repos/huggingface/datasets | null | 944,379,954 | https://api.github.com/repos/huggingface/datasets/issues/2646/comments | MDU6SXNzdWU5NDQzNzk5NTQ= | null | 2,646 | https://api.github.com/repos/huggingface/datasets/issues/2646/events | false |
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