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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... | null | [] | Fix overflow issue in interpolation search | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2336/timeline | 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). | https://api.github.com/repos/huggingface/datasets | {
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] | Index error in Dataset.map | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2335/timeline | The following code, if executed on master, raises an IndexError (due to overflow):
```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... | https://api.github.com/repos/huggingface/datasets | null | 881,291,887 | https://api.github.com/repos/huggingface/datasets/issues/2335/comments | MDU6SXNzdWU4ODEyOTE4ODc= | null | 2,335 | https://api.github.com/repos/huggingface/datasets/issues/2335/events | false |
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"@sebastianGehrmann "
] | null | [] | Updating the DART file checksums in GEM | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2334/timeline | The DART files were just updated on the source GitHub
https://github.com/Yale-LILY/dart/commit/34b3c872da4811523e334f1631e54ca8105dffab | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-07T15:28:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/2333 | null | {
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"- @jplu "
] | null | [] | Fix duplicate keys | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2333/timeline | 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. | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-05-07T13:43:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/2331 | null | {
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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
- **... | https://api.github.com/repos/huggingface/datasets | null | 879,031,427 | https://api.github.com/repos/huggingface/datasets/issues/2331/comments | MDU6SXNzdWU4NzkwMzE0Mjc= | null | 2,331 | https://api.github.com/repos/huggingface/datasets/issues/2331/events | false |
closed | 2021-05-07T05:52:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/2330 | null | {
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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?",
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"default": true... | Allow passing `desc` to `tqdm` in `Dataset.map()` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2330/timeline | 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. | https://api.github.com/repos/huggingface/datasets | null | 878,490,927 | https://api.github.com/repos/huggingface/datasets/issues/2330/comments | MDU6SXNzdWU4Nzg0OTA5Mjc= | null | 2,330 | https://api.github.com/repos/huggingface/datasets/issues/2330/events | false |
closed | 2021-05-06T19:35:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/2329 | null | {
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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... | null | [] | Add cache dir for in-memory datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2329/timeline | Adds the cache dir attribute to DatasetInfo as suggested by @lhoestq.
Should fix #2322 | https://api.github.com/repos/huggingface/datasets | {
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- The Matthews correlation coefficient (from sklearn)
- The Pearson correlation coefficient (from scipy)
- The Spearman correlation coefficient (from scipy)
cc @sgugger | https://api.github.com/repos/huggingface/datasets | {
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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."
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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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-05T16:53:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/2325 | null | {
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"Is there anything else needed from my end?",
"Thanks Bhavitvya and Quentin, this was very streamlined!"
] | null | [] | Added the HLGD dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2325/timeline | 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 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-05T15:55:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/2324 | null | {
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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... | null | [] | Create Audio feature | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2324/timeline | 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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-05T13:14:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/2323 | null | {
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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."
] | completed | [
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] | load_dataset("timit_asr") gives back duplicates of just one sample text | NONE | https://api.github.com/repos/huggingface/datasets/issues/2323/timeline | ## 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... | https://api.github.com/repos/huggingface/datasets | null | 876,438,507 | https://api.github.com/repos/huggingface/datasets/issues/2323/comments | MDU6SXNzdWU4NzY0Mzg1MDc= | null | 2,323 | https://api.github.com/repos/huggingface/datasets/issues/2323/events | false |
closed | 2021-05-05T12:11:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/2322 | null | {
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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] ... | completed | [
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] | Calls to map are not cached. | NONE | https://api.github.com/repos/huggingface/datasets/issues/2322/timeline | ## 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])... | https://api.github.com/repos/huggingface/datasets | null | 876,383,853 | https://api.github.com/repos/huggingface/datasets/issues/2322/comments | MDU6SXNzdWU4NzYzODM4NTM= | null | 2,322 | https://api.github.com/repos/huggingface/datasets/issues/2322/events | false |
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Fix #2319. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-05T09:30:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/2320 | null | {
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Close #2318. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-05T09:22:52Z | null | https://api.github.com/repos/huggingface/datasets/issues/2319 | {
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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 ... | completed | [
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] | UnicodeDecodeError for OSCAR (Afrikaans) | NONE | https://api.github.com/repos/huggingface/datasets/issues/2319/timeline | ## 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")
```... | https://api.github.com/repos/huggingface/datasets | null | 876,251,376 | https://api.github.com/repos/huggingface/datasets/issues/2319/comments | MDU6SXNzdWU4NzYyNTEzNzY= | null | 2,319 | https://api.github.com/repos/huggingface/datasets/issues/2319/events | false |
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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_... | completed | [
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] | [api request] API to obtain "dataset_module" dynamic path? | NONE | https://api.github.com/repos/huggingface/datasets/issues/2318/timeline | **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... | https://api.github.com/repos/huggingface/datasets | null | 876,212,460 | https://api.github.com/repos/huggingface/datasets/issues/2318/comments | MDU6SXNzdWU4NzYyMTI0NjA= | null | 2,318 | https://api.github.com/repos/huggingface/datasets/issues/2318/events | false |
closed | 2021-05-04T19:30:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2317 | null | {
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Simply, I put a comma between the version bounds.
Fix #2316. | https://api.github.com/repos/huggingface/datasets | {
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"Fixed by #2317."
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] | Incorrect version specification for pyarrow | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2316/timeline | ## 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... | https://api.github.com/repos/huggingface/datasets | null | 875,756,353 | https://api.github.com/repos/huggingface/datasets/issues/2316/comments | MDU6SXNzdWU4NzU3NTYzNTM= | null | 2,316 | https://api.github.com/repos/huggingface/datasets/issues/2316/events | false |
closed | 2021-05-04T18:55:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/2315 | null | {
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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... | null | [] | Datasets cli improvements | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2315/timeline | 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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closed | 2021-05-04T18:37:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/2314 | null | {
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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 "
] | null | [] | Minor refactor prepare_module | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2314/timeline | 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 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-04T13:42:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/2313 | null | {
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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. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-04T12:57:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/2312 | null | {
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"Merging then 😄 "
] | null | [] | Add rename_columnS method | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2312/timeline | Cherry-picked from #2255 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-04T09:08:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/2311 | null | {
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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... | null | [] | Add SLR52, SLR53 and SLR54 to OpenSLR | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2311/timeline | Add large speech datasets for Sinhala, Bengali and Nepali. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-04T04:38:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/2310 | null | {
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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... | null | [] | Update README.md | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2310/timeline | Provides description of data instances and dataset features | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-03T14:52:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/2309 | null | {
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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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-02T14:51:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2302 | null | {
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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 ... | null | [] | Add SubjQA dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2302/timeline | 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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-05-02T13:20:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/2301 | null | {
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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... | completed | [] | Unable to setup dev env on Windows | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2301/timeline | 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... | https://api.github.com/repos/huggingface/datasets | null | 873,941,266 | https://api.github.com/repos/huggingface/datasets/issues/2301/comments | MDU6SXNzdWU4NzM5NDEyNjY= | null | 2,301 | https://api.github.com/repos/huggingface/datasets/issues/2301/events | false |
closed | 2021-05-02T12:17:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/2300 | {
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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... | completed | [
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"color": "d93f0b",... | Add VoxPopuli | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2300/timeline | ## 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**:... | https://api.github.com/repos/huggingface/datasets | null | 873,928,169 | https://api.github.com/repos/huggingface/datasets/issues/2300/comments | MDU6SXNzdWU4NzM5MjgxNjk= | null | 2,300 | https://api.github.com/repos/huggingface/datasets/issues/2300/events | false |
closed | 2021-05-02T11:11:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/2299 | null | {
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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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- **Paper:** *link to the dataset paper if available*
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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,... | null | [] | Slow #0 when using map to tokenize. | NONE | https://api.github.com/repos/huggingface/datasets/issues/2294/timeline | 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,
remove_columns=column_names,
loa... | https://api.github.com/repos/huggingface/datasets | null | 872,136,075 | https://api.github.com/repos/huggingface/datasets/issues/2294/comments | MDU6SXNzdWU4NzIxMzYwNzU= | null | 2,294 | https://api.github.com/repos/huggingface/datasets/issues/2294/events | false |
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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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-29T15:27:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2290 | null | {
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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... | null | [] | Bbaw egyptian | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2290/timeline | 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 :... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-29T15:07:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/2289 | null | {
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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... | null | [] | Allow collaborators to self-assign issues | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2289/timeline | Allow collaborators (without write access to the repository) to self-assign issues.
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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... | completed | [
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] | Load_dataset for local CSV files | NONE | https://api.github.com/repos/huggingface/datasets/issues/2288/timeline | 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' ]
``... | https://api.github.com/repos/huggingface/datasets | null | 871,111,235 | https://api.github.com/repos/huggingface/datasets/issues/2288/comments | MDU6SXNzdWU4NzExMTEyMzU= | null | 2,288 | https://api.github.com/repos/huggingface/datasets/issues/2288/events | false |
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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 !"
] | null | [] | Avoid copying table's record batches | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2287/timeline | Fixes #2276 | https://api.github.com/repos/huggingface/datasets | {
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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... | completed | [] | Help understanding how to build a dataset for language modeling as with the old TextDataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2285/timeline | 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... | https://api.github.com/repos/huggingface/datasets | null | 871,005,236 | https://api.github.com/repos/huggingface/datasets/issues/2285/comments | MDU6SXNzdWU4NzEwMDUyMzY= | null | 2,285 | https://api.github.com/repos/huggingface/datasets/issues/2285/events | false |
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The files were changed in https://github.com/budzianowski/multiwoz/pull/72 | https://api.github.com/repos/huggingface/datasets | {
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"Hi ! Thanks for the fix :)\r\nThe CI fail isn't related to your PR. I opened a PR #2286 to fix the CI.\r\nWe'll wait for #2286 to be merged to master first if you don't mind",
"The PR has been merged ! Feel free to merge master into your branch to fix the CI"
] | null | [] | Fixed typo seperate->separate | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2280/timeline | https://api.github.com/repos/huggingface/datasets | {
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"From the trace this seems like an error in the tokenizer library instead.\r\n\r\nDo you mind opening an issue at https://github.com/huggingface/tokenizers instead?",
"Hi @tginart, thanks for reporting.\r\n\r\nI think this issue is already open at `tokenizers` library: https://github.com/huggingface/tokenizers/is... | completed | [
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For use on Ubuntu systems, it seems that datasets requires GLIBC 2.29. However, Ubuntu 18 runs with GLIBC 2.27 and it seems [non-trivial to upgrade GLIBC to 2.29 for Ubuntu 18 users](https://www.digitalocean.com/community/questions/how-install-glibc-2-29-or-higher-in-ubuntu-18-04).
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"Hi ! I think you might have to ask on the `transformers` repo on or the forum at https://discuss.huggingface.co/\r\n\r\nClosing since it's not related to this library"
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"Therefore, when I try to concatenate larger datasets (5x 35GB data sets) I also get an out of memory error, since over 90GB of swap space was used at the time of the crash:\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nMemoryError Traceba... | completed | [
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] | concatenate_datasets loads all the data into memory | NONE | https://api.github.com/repos/huggingface/datasets/issues/2276/timeline | ## Describe the bug
When I try to concatenate 2 datasets (10GB each) , the entire data is loaded into memory instead of being written directly to disk.
Interestingly, this happens when trying to save the new dataset to disk or concatenating it again.
![image](https://user-images.githubusercontent.com/7063207/116... | https://api.github.com/repos/huggingface/datasets | null | 870,010,511 | https://api.github.com/repos/huggingface/datasets/issues/2276/comments | MDU6SXNzdWU4NzAwMTA1MTE= | null | 2,276 | https://api.github.com/repos/huggingface/datasets/issues/2276/events | false |
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"Hi @puzzler10, \r\nThose examples where `gold_label` field was empty, -1 label was alloted to it. In order to remove it you can filter the samples from train/val/test splits. Here's how you can drop those rows from the dataset:\r\n`dataset = load_dataset(\"snli\")`\r\n`dataset_test_filter = dataset['test'].filter(... | completed | [] | SNLI dataset has labels of -1 | NONE | https://api.github.com/repos/huggingface/datasets/issues/2275/timeline | There are a number of rows with a label of -1 in the SNLI dataset. The dataset descriptions [here](https://nlp.stanford.edu/projects/snli/) and [here](https://github.com/huggingface/datasets/tree/master/datasets/snli) don't list -1 as a label possibility, and neither does the dataset viewer. As examples, see index 107... | https://api.github.com/repos/huggingface/datasets | null | 869,378,311 | https://api.github.com/repos/huggingface/datasets/issues/2275/comments | MDU6SXNzdWU4NjkzNzgzMTE= | null | 2,275 | https://api.github.com/repos/huggingface/datasets/issues/2275/events | false |
closed | 2021-04-27T19:21:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/2274 | null | {
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For each function that transforms the feature types of the dataset, I added ... | https://api.github.com/repos/huggingface/datasets | {
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"This has been fixed in this commit: https://github.com/huggingface/datasets/pull/2254/commits/88676c930216cd4cc31741b99827b477d2b46cb6\r\n\r\nIt was introduced in #2246 : using map with `input_columns` doesn't return the other columns anymore"
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] | Bug in Dataset.class_encode_column | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2272/timeline | ## Describe the bug
All the rest of the columns except the one passed to `Dataset.class_encode_column` are discarded.
## Expected results
All the original columns should be kept.
This needs regression tests.
| https://api.github.com/repos/huggingface/datasets | null | 869,017,977 | https://api.github.com/repos/huggingface/datasets/issues/2272/comments | MDU6SXNzdWU4NjkwMTc5Nzc= | null | 2,272 | https://api.github.com/repos/huggingface/datasets/issues/2272/events | false |
closed | 2021-04-27T15:55:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/2271 | null | {
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"See PR #2274 "
] | completed | [
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] | Synchronize table metadata with features | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2271/timeline | **Is your feature request related to a problem? Please describe.**
As pointed out in this [comment](https://github.com/huggingface/datasets/pull/2145#discussion_r621326767):
> Metadata stored in the schema is just a redundant information regarding the feature types.
It is used when calling Dataset.from_file to kno... | https://api.github.com/repos/huggingface/datasets | null | 869,002,141 | https://api.github.com/repos/huggingface/datasets/issues/2271/comments | MDU6SXNzdWU4NjkwMDIxNDE= | null | 2,271 | https://api.github.com/repos/huggingface/datasets/issues/2271/events | false |
closed | 2021-04-27T14:35:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/2270 | null | {
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"It's been fixed in this commit: https://github.com/huggingface/datasets/commit/549110e08238b3716a5904667095fb003acda54e\r\n\r\nBasically #2246 broke querying an index with a simple iterable.\r\nWith the fix, it's again possible to use iterables and we can keep RandIter as it is.\r\n\r\nClosing since the fix is alr... | null | [] | Fix iterable interface expected by numpy | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2270/timeline | Numpy expects the old iterable interface with `__getitem__` instead of `__iter__`. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-27T13:59:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/2269 | null | {
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However there's currently an issue caused by the use of `np.array` instead of `np.fromiter` on the iterable.
This PR fixes it | https://api.github.com/repos/huggingface/datasets | {
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"@lhoestq note that the segfault also occurs on Linux.",
"Created the ticket at\r\nhttps://issues.apache.org/jira/browse/ARROW-12568",
"@lhoestq the ticket you mentioned is now in state resolved. Pyarrow supports AArch64 after version 4.0.0. Because of this restriction `datasets` is not installing in AArch64 sy... | null | [] | Don't use pyarrow 4.0.0 since it segfaults when casting a sliced ListArray of integers | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2268/timeline | This test `tests/test_table.py::test_concatenation_table_cast` segfaults with the latest update of pyarrow 4.0.0.
Setting `pyarrow<4.0.0` for now. I'll open an issue on JIRA once I know more about the origin of the issue | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-04-27T00:03:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2267 | null | {
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"Thanks for reporting ! We're looking into it",
"I'm not able to reproduce this, do you think you can provide a code that creates a DatasetDict that has this issue when saving and reloading ?",
"Hi, I just ran into a similar error. Here is the minimal code to reproduce:\r\n```python\r\nfrom datasets import load... | null | [
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] | DatasetDict save load Failing test in 1.6 not in 1.5 | NONE | https://api.github.com/repos/huggingface/datasets/issues/2267/timeline | ## Describe the bug
We have a test that saves a DatasetDict to disk and then loads it from disk. In 1.6 there is an incompatibility in the schema.
Downgrading to `>1.6` -- fixes the problem.
## Steps to reproduce the bug
```python
### Load a dataset dict from jsonl
path = '/test/foo'
ds_dict.s... | https://api.github.com/repos/huggingface/datasets | null | 868,291,129 | https://api.github.com/repos/huggingface/datasets/issues/2267/comments | MDU6SXNzdWU4NjgyOTExMjk= | null | 2,267 | https://api.github.com/repos/huggingface/datasets/issues/2267/events | false |
closed | 2021-04-26T15:55:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/2266 | null | {
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"LOL, I was also working on something similar 😅. I'm gonna have a look!!!",
"Sorry I didn't know you were also working on it ^^'\r\nAnd yes I 100% agree with you on the points you mentioned. We should definitely improve the coverage. It would be nice to have a clearer separation to know which tests in the suite ... | null | [] | Make tests run faster | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2266/timeline | From 7min to 2min to run pytest.
Ideally we should keep the whole CI run time below 10min.
In this PR I removed the remote tests that were never used.
I also replaced nested parametrized tests with unit tests.
This makes me think that we could still add more high level tests to check for a few combinations of par... | https://api.github.com/repos/huggingface/datasets | {
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This makes the CI currently fail on master | https://api.github.com/repos/huggingface/datasets | {
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"The code quality check is going to be fixed by #2265 ",
"The memory issue didn't come from `self.__dict__.copy()` but from the fact that this dict contains `_batches` which has all the batches of the table in it.\r\nTherefore for a MemoryMappedTable all the data in `_batches` were copied in memory when pickling ... | null | [] | Fix memory issue in multiprocessing: Don't pickle table index | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2264/timeline | The table index is currently being pickled when doing multiprocessing, which brings all the record batches of the dataset in memory.
I fixed that by not pickling the index attributes. Therefore each process has to rebuild the index when unpickling the table.
Fix issue #2256
We'll do a patch release asap ! | https://api.github.com/repos/huggingface/datasets | {
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"Thanks @bhavitvyamalik for the fix !\r\nThe fix will be available in the next release.\r\nIt's already available on the `master` branch. For now you can either install `datasets` from source or use `script_version=\"master\"` in `load_dataset` to use the fixed version of this dataset."
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According to the script below, the download manager will download the train data when trying to download the test data.
https://github.com/huggingface/datasets/blob/2a2dd6316af2cc7fdf24e4779312e8ee0c7ed98b/datasets/newsph_nli/newsph_nli.py#L71
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"Ready for the final review"
] | null | [] | Improve ReadInstruction logic and update docs | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2261/timeline | Improve ReadInstruction logic and docs. | https://api.github.com/repos/huggingface/datasets | {
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"Thanks for adding this one !\r\nThe download manager does support downloading files on git lfs via their github url. No need for a manual download option ;)"
] | null | [] | GooAQ dataset added | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2260/timeline | @lhoestq here the dataset is stored with Git LFS. Should I add option for manual downloading of dataset using `git lfs pull` post repo cloning or can we accommodate this in the current `download_and_extract`? | https://api.github.com/repos/huggingface/datasets | {
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"Honestly, I think we should fix some other issues in Split API before this change. E. g. currently the following will not work, even though it should:\r\n```python\r\nimport datasets\r\ndatasets.load_dataset(\"sst\", split=datasets.Split.TRAIN+datasets.Split.TEST) # AssertionError\r\n```\r\n\r\nEDIT:\r\nActually,... | null | [] | Add support for Split.ALL | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2259/timeline | The title says it all. | https://api.github.com/repos/huggingface/datasets | {
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"@lhoestq Maybe a test that runs the functions that call `update_metadata_with_features` and checks if metadata was updated would be nice to prevent this from happening in the future."
] | null | [] | Fix incorrect update_metadata_with_features calls in ArrowDataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2258/timeline | Fixes bugs in the `unpdate_metadata_with_features` calls (caused by changes in #2151) | https://api.github.com/repos/huggingface/datasets | {
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"> For now I've added F1, AUPR, Precision at 80% recall, and Precision at 90%. Last 3 metrics were reported in the [paper](https://arxiv.org/pdf/2103.06268.pdf). Please let me know if we require `exact_match` metric too here\r\n\r\n@bhavitvyamalik I guess the mentioned metrics are enough but it would be better if ... | null | [] | added metrics for CUAD | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2257/timeline | For now I've added F1, AUPR, Precision at 80% recall, and Precision at 90%. Last 3 metrics were reported in the [paper](https://arxiv.org/pdf/2103.06268.pdf). Please let me know if we require `exact_match` metric too here | https://api.github.com/repos/huggingface/datasets | {
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"Thanks for reporting ! We are working on this and we'll do a patch release very soon.",
"We did a patch release to fix this issue.\r\nIt should be fixed in the new version 1.6.1\r\n\r\nThanks again for reporting and for the details :)"
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] | Running `datase.map` with `num_proc > 1` uses a lot of memory | NONE | https://api.github.com/repos/huggingface/datasets/issues/2256/timeline | ## Describe the bug
Running `datase.map` with `num_proc > 1` leads to a tremendous memory usage that requires swapping on disk and it becomes very slow.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dstc8_datset = load_dataset("roskoN/dstc8-reddit-corpus", keep_in_memory=False)
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"cc @abhi1thakur ",
"Looks really nice so far, thanks !\r\nMaybe if a dataset doesn't have a template for a specific task we could try the default template of this task ?",
"hey @SBrandeis @lhoestq,\r\n\r\ni now have a better idea about what you guys are trying to achieve with the task templates and have a few ... | null | [] | Task casting for text classification & question answering | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2255/timeline | This PR implements task preparation for a given task, in the continuation of #2143
Task taxonomy follows 🤗 Transformers's pipelines taxonomy: https://github.com/huggingface/transformers/tree/master/src/transformers/pipelines
Edit by @lewtun:
This PR implements support for the following tasks:
* `text-clas... | https://api.github.com/repos/huggingface/datasets | {
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"I renamed the variable, added a test for dataset._indices and fixed an issue with class_encode_column"
] | null | [] | Update format, fingerprint and indices after add_item | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2254/timeline | Added fingerprint and format update wrappers + update the indices by adding the index of the newly added item in the table. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-23T11:45:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/2253 | null | {
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"@lhoestq is there a problem in the master branch? I got a segmentation fault...\r\n```\r\ntests/test_table.py::test_concatenation_table_cast[in_memory] Fatal Python error: Segmentation fault\r\n```",
"Oh wow. Let me re-run the CI just to make sure",
"Hmm interesting, the segfault is still there. I'm investigat... | null | [
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"Hi ! Sorry to hear that. This may come from another issue then.\r\n\r\nFirst can we check if this latency comes from the dataset itself ?\r\nYou can try to load your dataset and benchmark the speed of querying random examples inside it ?\r\n```python\r\nimport time\r\nimport numpy as np\r\n\r\nfrom datasets import... | completed | [] | Slow dataloading with big datasets issue persists | NONE | https://api.github.com/repos/huggingface/datasets/issues/2252/timeline | Hi,
I reported too slow data fetching when data is large(#2210) a couple of weeks ago, and @lhoestq referred me to the fix (#2122).
However, the problem seems to persist. Here is the profiled results:
1) Running with 60GB
```
Action | Mean duration (s) |Num calls | Total ... | https://api.github.com/repos/huggingface/datasets | null | 865,870,710 | https://api.github.com/repos/huggingface/datasets/issues/2252/comments | MDU6SXNzdWU4NjU4NzA3MTA= | null | 2,252 | https://api.github.com/repos/huggingface/datasets/issues/2252/events | false |
open | 2021-04-23T07:51:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/2251 | null | {
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python3 run_qa.py --model_name_or_path hyunwoongko/kobart --dataset_name squad_kor_v2 --do_train --do_eval --per_device_train_batch_size 8 --learning_rate 3e-5 --num_train_epochs 3 --max_seq_length 512 --doc_stride 128 --output_dir /tmp/debug_squad/
error:
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closed | 2021-04-22T19:39:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/2250 | null | {
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"Hi,\r\n\r\n1. try\r\n ```python\r\n dataset = load_dataset(\"text\", data_files={\"train\": [\"a1.txt\", \"b1.txt\"], \"test\": [\"c1.txt\"]})\r\n ```\r\n instead.\r\n\r\n Sadly, I can't reproduce the error on my machine. If the above code doesn't resolve the issue, try to update the library to the ... | completed | [] | some issue in loading local txt file as Dataset for run_mlm.py | NONE | https://api.github.com/repos/huggingface/datasets/issues/2250/timeline | 
first of all, I tried to load 3 .txt files as a dataset (sure that the directory and permission is OK.), I face with the below error.
> FileNotFoundError: [Errno 2] No such file or directory: 'c'
by ... | https://api.github.com/repos/huggingface/datasets | null | 865,402,449 | https://api.github.com/repos/huggingface/datasets/issues/2250/comments | MDU6SXNzdWU4NjU0MDI0NDk= | null | 2,250 | https://api.github.com/repos/huggingface/datasets/issues/2250/events | false |
open | 2021-04-22T17:51:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/2249 | null | {
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"> If you pass a dictionary like this:\r\n> \r\n> ```\r\n> {\"main_metadata\": url_to_main_data,\r\n> \"secondary_metadata\": url_to_sec_data,\r\n> \"train\": url_train_data,\r\n> \"test\": url_test_data}\r\n> ```\r\n> \r\n> then only the train or test keys will be kept, which I feel not intuitive.\r\n> \r\n> For e... | null | [
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] | Allow downloading/processing/caching only specific splits | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2249/timeline | Allow downloading/processing/caching only specific splits without downloading/processing/caching the other splits.
This PR implements two steps to handle only specific splits:
- it allows processing/caching only specific splits into Arrow files
- for some simple cases, it allows downloading only specific splits (w... | https://api.github.com/repos/huggingface/datasets | {
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"Hi @albertvillanova , I'll implement the parquet builder as an ArrowBasedBuilder if you don't mind",
"closing in favor of #2537 that is already merged"
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] | Implement Dataset from Parquet | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2247/timeline | Implement instantiation of Dataset from Parquet file. | https://api.github.com/repos/huggingface/datasets | {
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"@lhoestq Just fixed the code style issues— I think it should be good to merge now :)"
] | null | [] | Faster map w/ input_columns & faster slicing w/ Iterable keys | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2246/timeline | @lhoestq Fixes #2193
- `map` now uses `with_format` to only load needed columns in memory when `input_columns` is set
- Slicing datasets with Iterables of indices now uses a new `Table.fast_gather` method, implemented with `np.searchsorted`, to find the appropriate batch indices all at once. `pa.concat_tables` is ... | https://api.github.com/repos/huggingface/datasets | {
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"@lhoestq The tests for key type and duplicate keys have been added and verified successfully.\r\nAfter generating with an intentionally faulty `mnist` script, when there is an incompatible key type, it shows:\r\n\r\n```\r\nDownloading and preparing dataset mnist/mnist (download: 11.06 MiB, generated: 60.62 MiB, po... | null | [] | Add `key` type and duplicates verification with hashing | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2245/timeline | Closes #2230
There is currently no verification for the data type and the uniqueness of the keys yielded by the `dataset_builder`.
This PR is currently a work in progress with the following goals:
- [x] Adding `hash_salt` to `ArrowWriter` so that the keys belonging to different splits have different hash
- [x]... | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-04-20T17:06:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/2244 | null | {
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"@lhoestq, I think this reaches some memory limit on Linux instances... (?)",
"It looks like the `comet` metric test fails because it tries to load a model in memory.\r\nIn the tests I think we have `patch_comet` that mocks the model download + inference. Not sure why it didn't work though.\r\nI can take a look t... | null | [] | Set specific cache directories per test function call | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2244/timeline | Implement specific cache directories (datasets, metrics and modules) per test function call.
Currently, the cache directories are set within the temporary test directory, but they are shared across all test function calls.
This PR implements specific cache directories for each test function call, so that tests ar... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-20T14:58:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2243 | null | {
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"Hi @villmow, thanks for reporting.\r\n\r\nCould you please try with the Datasets version 1.6? We released it yesterday and it fixes some issues about the processing speed. You can see the fix implemented by @lhoestq here: #2122.\r\n\r\nOnce you update Datasets, please confirm if the problem persists.",
"Hi @albe... | completed | [
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] | Map is slow and processes batches one after another | NONE | https://api.github.com/repos/huggingface/datasets/issues/2243/timeline | ## Describe the bug
I have a somewhat unclear bug to me, where I can't figure out what the problem is. The code works as expected on a small subset of my dataset (2000 samples) on my local machine, but when I execute the same code with a larger dataset (1.4 million samples) this problem occurs. Thats why I can't giv... | https://api.github.com/repos/huggingface/datasets | null | 862,909,389 | https://api.github.com/repos/huggingface/datasets/issues/2243/comments | MDU6SXNzdWU4NjI5MDkzODk= | null | 2,243 | https://api.github.com/repos/huggingface/datasets/issues/2243/events | false |
closed | 2021-04-20T14:19:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/2242 | null | {
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"This should be fixed now!\r\n\r\ncc @srush "
] | completed | [
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The same error with https://huggingface.co/datasets/viewer/?dataset=glue&config=mrpc | https://api.github.com/repos/huggingface/datasets | null | 862,870,205 | https://api.github.com/repos/huggingface/datasets/issues/2242/comments | MDU6SXNzdWU4NjI4NzAyMDU= | null | 2,242 | https://api.github.com/repos/huggingface/datasets/issues/2242/events | false |
closed | 2021-04-20T11:02:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/2241 | null | {
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"> And yet another one ! Thanks a lot :)\r\n\r\nI just hope you don’t get fed up with openslr PR 😊 there are still few other datasets created by google in openslr that is not in hf dataset yet\r\n"
] | null | [] | Add SLR32 to OpenSLR | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2241/timeline | I would like to add SLR32 to OpenSLR. It contains four South African languages: Afrikaans, Sesotho, Setswana and isiXhosa | https://api.github.com/repos/huggingface/datasets | {
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En relation with #2239. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-19T21:02:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/2239 | null | {
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"Hi @odellus, thanks for reporting.\r\n\r\nThe `wikihow` dataset has 2 versions:\r\n- `all`: Consisting of the concatenation of all paragraphs as the articles and the bold lines as the reference summaries.\r\n- `sep`: Consisting of each paragraph and its summary.\r\n\r\nTherefore, in order to load it, you have to s... | completed | [
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] | Error loading wikihow dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2239/timeline | ## Describe the bug
When attempting to load wikihow into a dataset with
```python
from datasets import load_dataset
dataset = load_dataset('wikihow', data_dir='./wikihow')
```
I get the message:
```
AttributeError: 'BuilderConfig' object has no attribute 'filename'
```
at the end of a [full stack trace](htt... | https://api.github.com/repos/huggingface/datasets | null | 861,904,306 | https://api.github.com/repos/huggingface/datasets/issues/2239/comments | MDU6SXNzdWU4NjE5MDQzMDY= | null | 2,239 | https://api.github.com/repos/huggingface/datasets/issues/2239/events | false |
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open | 2021-04-19T15:19:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/2237 | null | {
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"@albertvillanova I would like to take this up. It would be great if you could point me as to how the dataset size is calculated in HF. Thanks!"
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- **Name:** StrategyQA
- **Description:** open-domain QA [(project page)](https://allenai.org/data/strategyqa)
- **Paper:** [url](https://arxiv.org/pdf/2101.02235.pdf)
- **Data:** [here](https://allenai.org/data/strategyqa)
- **Motivation:** uniquely-formulated dataset that als... | https://api.github.com/repos/huggingface/datasets | null | 861,388,145 | https://api.github.com/repos/huggingface/datasets/issues/2236/comments | MDU6SXNzdWU4NjEzODgxNDU= | null | 2,236 | https://api.github.com/repos/huggingface/datasets/issues/2236/events | false |
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closed | 2021-04-17T16:01:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/2234 | null | {
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closed | 2021-04-16T19:12:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/2233 | null | {
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"g... | https://github.com/huggingface/datasets/pull/2233 | [] | false | 2021-04-19T08:56:42Z | 2021-04-19T08:56:42Z | null | [] | null | [] | Fix `xnli` dataset tuple key | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2233/timeline | Closes #2229
The `xnli` dataset yields a tuple key in case of `ar` which is inconsistant with the acceptable key types (str/int).
The key was thus ported to `str` keeping the original information intact. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-16T18:37:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/2232 | null | {
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"I replaced all the \"we\" and applied your suggestion",
"Merging this for now, we can continue improving this card in other PRs :)"
] | null | [] | Start filling GLUE dataset card | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2232/timeline | The dataset card was pretty much empty.
I added the descriptions (mainly from TFDS since the script is the same), and I also added the tasks tags as well as examples for a subset of the tasks.
cc @sgugger | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-16T14:08:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/2231 | null | {
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"gists_url": "https:... | https://github.com/huggingface/datasets/pull/2231 | [] | false | 2021-04-16T15:10:05Z | 2021-04-16T15:10:04Z | null | [] | null | [] | Fix map when removing columns on a formatted dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2231/timeline | This should fix issue #2226
The `remove_columns` argument was ignored on formatted datasets | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-16T13:29:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/2230 | null | {
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"g... | https://github.com/huggingface/datasets/issues/2230 | [] | false | 2021-05-10T17:31:21Z | 2021-05-10T17:31:21Z | null | [
"Hi ! Indeed there's no verification on the uniqueness nor the types of the keys.\r\nDo you already have some ideas of what you would like to implement and how ?",
"Hey @lhoestq, thank you so much for the opportunity.\r\nAlthough I haven't had much experience with the HF Datasets code, after a careful look at how... | completed | [
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] | Keys yielded while generating dataset are not being checked | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2230/timeline | The keys used in the dataset generation script to ensure the same order is generated on every user's end should be checked for their types (i.e either `str` or `int`) as well as whether they are unique or not.
Currently, the keys are not being checked for any of these, as evident from `xnli' dataset generation:
https... | https://api.github.com/repos/huggingface/datasets | null | 859,817,159 | https://api.github.com/repos/huggingface/datasets/issues/2230/comments | MDU6SXNzdWU4NTk4MTcxNTk= | null | 2,230 | https://api.github.com/repos/huggingface/datasets/issues/2230/events | false |
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