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738,500,443 | MDU6SXNzdWU3Mzg1MDA0NDM= | 814 | Joining multiple datasets | closed | completed | 2020-11-08T16:19:30 | 2020-11-08T19:38:48 | 2020-11-08T19:38:48Z | https://github.com/huggingface/datasets/issues/814 | rabeehkarimimahabadi | [
"dataset request"
] | [] | [
"found a solution here https://discuss.pytorch.org/t/train-simultaneously-on-two-datasets/649/35, closed for now, thanks "
] | NONE | Hi
I have multiple iterative datasets from your library with different size and I want to join them in a way that each datasets is sampled equally, so smaller datasets more, larger one less, could you tell me how to implement this in pytorch? thanks | |
738,489,852 | MDU6SXNzdWU3Mzg0ODk4NTI= | 813 | How to implement DistributedSampler with datasets | closed | completed | 2020-11-08T15:27:11 | 2022-10-05T12:54:23 | 2022-10-05T12:54:23Z | https://github.com/huggingface/datasets/issues/813 | rabeehkarimimahabadi | [
"dataset request"
] | [] | [
"Hi Apparently I need to shard the data and give one host a chunk, could you provide me please with examples on how to do it? I want to use it jointly with finetune_trainer.py in huggingface repo seq2seq examples. thanks. ",
"Hey @rabeehkarimimahabadi I'm actually looking for the same feature. Did you manage to g... | NONE | Hi,
I am using your datasets to define my dataloaders, and I am training finetune_trainer.py in huggingface repo on them.
I need a distributedSampler to be able to train the models on TPUs being able to distribute the load across the TPU cores. Could you tell me how I can implement the distribued sampler when using d... | |
738,340,217 | MDU6SXNzdWU3MzgzNDAyMTc= | 812 | Too much logging | closed | completed | 2020-11-07T23:56:30 | 2021-01-26T14:31:34 | 2020-11-16T17:06:42Z | https://github.com/huggingface/datasets/issues/812 | dspoka | [] | [] | [
"Hi ! Thanks for reporting :) \r\nI agree these one should be hidden when the logging level is warning, we'll fix that",
"+1, the amount of logging is excessive.\r\n\r\nMost of it indeed comes from `filelock.py`, though there are occasionally messages from other sources too. Below is an example (all of these mess... | NONE | I'm doing this in the beginning of my script:
from datasets.utils import logging as datasets_logging
datasets_logging.set_verbosity_warning()
but I'm still getting these logs:
[2020-11-07 15:45:41,908][filelock][INFO] - Lock 139958278886176 acquired on /home/username/.cache/huggingface/datasets/cfe20ffaa80ef1... | |
738,280,132 | MDU6SXNzdWU3MzgyODAxMzI= | 811 | nlp viewer error | closed | completed | 2020-11-07T17:08:58 | 2022-02-15T10:51:44 | 2022-02-14T15:24:20Z | https://github.com/huggingface/datasets/issues/811 | jc-hou | [
"nlp-viewer"
] | [] | [
"and also for 'blog_authorship_corpus'\r\nhttps://huggingface.co/nlp/viewer/?dataset=blog_authorship_corpus\r\n\r\n",
"Is this the problem of my local computer or ??",
"Related to:\r\n- #673"
] | NONE | Hello,
when I select amazon_us_reviews in nlp viewer, it shows error.
https://huggingface.co/nlp/viewer/?dataset=amazon_us_reviews
| |
737,832,701 | MDU6SXNzdWU3Mzc4MzI3MDE= | 809 | Add Google Taskmaster dataset | closed | completed | 2020-11-06T15:10:41 | 2021-04-20T13:09:26 | 2021-04-20T13:09:26Z | https://github.com/huggingface/datasets/issues/809 | yjernite | [
"dataset request"
] | [] | [
"Hey @yjernite. Was going to start working on this but found taskmaster 1,2 & 3 in the datasets library already so think this can be closed now?",
"You are absolutely right :) \r\n\r\nClosed by https://github.com/huggingface/datasets/pull/1193 https://github.com/huggingface/datasets/pull/1197 https://github.com/h... | MEMBER | ## Adding a Dataset
- **Name:** Taskmaster
- **Description:** A large dataset of task-oriented dialogue with annotated goals (55K dialogues covering entertainment and travel reservations)
- **Paper:** https://arxiv.org/abs/1909.05358
- **Data:** https://github.com/google-research-datasets/Taskmaster
- **Motivation... | |
737,509,954 | MDU6SXNzdWU3Mzc1MDk5NTQ= | 807 | load_dataset for LOCAL CSV files report CONNECTION ERROR | closed | completed | 2020-11-06T06:33:04 | 2021-01-11T01:30:27 | 2020-11-14T05:30:34Z | https://github.com/huggingface/datasets/issues/807 | shexuan | [] | [] | [
"Hi !\r\nThe url works on my side.\r\n\r\nIs the url working in your navigator ?\r\nAre you connected to internet ? Does your network block access to `raw.githubusercontent.com` ?",
"> Hi !\r\n> The url works on my side.\r\n> \r\n> Is the url working in your navigator ?\r\n> Are you connected to internet ? Does y... | NONE | ## load_dataset for LOCAL CSV files report CONNECTION ERROR
- **Description:**
A local demo csv file:
```
import pandas as pd
import numpy as np
from datasets import load_dataset
import torch
import transformers
df = pd.DataFrame(np.arange(1200).reshape(300,4))
df.to_csv('test.csv', header=False, index=Fal... | |
737,215,430 | MDU6SXNzdWU3MzcyMTU0MzA= | 806 | Quail dataset urls are out of date | closed | completed | 2020-11-05T19:40:19 | 2020-11-10T14:02:51 | 2020-11-10T14:02:51Z | https://github.com/huggingface/datasets/issues/806 | ngdodd | [] | [] | [
"Hi ! Thanks for reporting.\r\nWe should fix the urls and use quail 1.3.\r\nIf you want to contribute feel free to fix the urls and open a PR :) ",
"Done! PR [https://github.com/huggingface/datasets/pull/820](https://github.com/huggingface/datasets/pull/820)\r\n\r\nUpdated links and also regenerated the metadata ... | CONTRIBUTOR | <h3>Code</h3>
```
from datasets import load_dataset
quail = load_dataset('quail')
```
<h3>Error</h3>
```
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/text-machine-lab/quail/master/quail_v1.2/xml/ordered/quail_1.2_train.xml
```
As per [quail v1.3 commit](https://github.co... | |
737,019,360 | MDU6SXNzdWU3MzcwMTkzNjA= | 805 | On loading a metric from datasets, I get the following error | closed | completed | 2020-11-05T15:14:38 | 2022-02-14T15:32:59 | 2022-02-14T15:32:59Z | https://github.com/huggingface/datasets/issues/805 | laibamehnaz | [] | [] | [
"Hi ! We support only pyarrow > 0.17.1 so that we have access to the `PyExtensionType` object.\r\nCould you update pyarrow and try again ?\r\n```\r\npip install --upgrade pyarrow\r\n```"
] | NONE | `from datasets import load_metric`
`metric = load_metric('bleurt')`
Traceback:
210 class _ArrayXDExtensionType(pa.PyExtensionType):
211
212 ndims: int = None
AttributeError: module 'pyarrow' has no attribute 'PyExtensionType'
Any help will be appreciated. Thank you. | |
736,858,507 | MDU6SXNzdWU3MzY4NTg1MDc= | 804 | Empty output/answer in TriviaQA test set (both in 'kilt_tasks' and 'trivia_qa') | closed | completed | 2020-11-05T11:38:01 | 2020-11-09T14:14:59 | 2020-11-09T14:14:58Z | https://github.com/huggingface/datasets/issues/804 | PaulLerner | [] | [] | [
"cc @yjernite is this expected ?",
"Yes: TriviaQA has a private test set for the leaderboard [here](https://competitions.codalab.org/competitions/17208)\r\n\r\nFor the KILT training and validation portions, you need to link the examples from the TriviaQA dataset as detailed here:\r\nhttps://github.com/huggingface... | CONTRIBUTOR | # The issue
It's all in the title, it appears to be fine on the train and validation sets.
Is there some kind of mapping to do like for the questions (see https://github.com/huggingface/datasets/blob/master/datasets/kilt_tasks/README.md) ?
# How to reproduce
```py
from datasets import load_dataset
kilt_tas... | |
735,790,876 | MDU6SXNzdWU3MzU3OTA4NzY= | 801 | How to join two datasets? | closed | completed | 2020-11-04T03:53:11 | 2020-12-23T14:02:58 | 2020-12-23T14:02:58Z | https://github.com/huggingface/datasets/issues/801 | shangw-nvidia | [] | [] | [
"Hi this is also my question. thanks ",
"Hi ! Currently the only way to add new fields to a dataset is by using `.map` and picking items from the other dataset\r\n",
"Closing this one. Feel free to re-open if you have other questions about this issue.\r\n\r\nAlso linking another discussion about joining dataset... | NONE | Hi,
I'm wondering if it's possible to join two (preprocessed) datasets with the same number of rows but different labels?
I'm currently trying to create paired sentences for BERT from `wikipedia/'20200501.en`, and I couldn't figure out a way to create a paired sentence using `.map()` where the second sentence is... | |
735,518,805 | MDU6SXNzdWU3MzU1MTg4MDU= | 798 | Cannot load TREC dataset: ConnectionError | closed | completed | 2020-11-03T17:45:22 | 2022-02-14T15:34:22 | 2022-02-14T15:34:22Z | https://github.com/huggingface/datasets/issues/798 | kaletap | [
"dataset bug"
] | [] | [
"Hi ! Indeed there's an issue with those links.\r\nWe should probably use the target urls of the redirections instead",
"Hi, the same issue here, could you tell me how to download it through datasets? thanks ",
"Same issue. ",
"Actually it's already fixed on the master branch since #740 \r\nI'll do the 1.1.3 ... | NONE | ## Problem
I cannot load "trec" dataset, it results with ConnectionError as shown below. I've tried on both Google Colab and locally.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label')` returns <Response [302]>.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label', allow_redirects=True... | |
735,420,332 | MDU6SXNzdWU3MzU0MjAzMzI= | 797 | Token classification labels are strings and we don't have the list of labels | closed | completed | 2020-11-03T15:33:30 | 2022-02-14T15:41:54 | 2022-02-14T15:41:53Z | https://github.com/huggingface/datasets/issues/797 | sgugger | [
"enhancement",
"Dataset discussion"
] | [] | [
"Indeed. Pinging @stefan-it here if he want to give an expert opinion :)",
"Related is https://github.com/huggingface/datasets/pull/636",
"Should definitely be a ClassLabel 👍 ",
"Already done."
] | CONTRIBUTOR | Not sure if this is an issue we want to fix or not, putting it here so it's not forgotten. Right now, in token classification datasets, the labels for NER, POS and the likes are typed as `Sequence` of `strings`, which is wrong in my opinion. These should be `Sequence` of `ClassLabel` or some types that gives easy acces... | |
735,198,265 | MDU6SXNzdWU3MzUxOTgyNjU= | 795 | Descriptions of raw and processed versions of wikitext are inverted | closed | completed | 2020-11-03T10:24:51 | 2022-02-14T15:46:21 | 2022-02-14T15:46:21Z | https://github.com/huggingface/datasets/issues/795 | fraboniface | [
"dataset bug"
] | [] | [
"Yes indeed ! Thanks for reporting",
"Fixed by:\r\n- #3241"
] | NONE | Nothing of importance, but it looks like the descriptions of wikitext-n-v1 and wikitext-n-raw-v1 are inverted for both n=2 and n=103. I just verified by loading them and the `<unk>` tokens are present in the non-raw versions, which confirms that it's a mere inversion of the descriptions and not of the datasets themselv... | |
735,158,725 | MDU6SXNzdWU3MzUxNTg3MjU= | 794 | self.options cannot be converted to a Python object for pickling | closed | completed | 2020-11-03T09:27:34 | 2020-11-19T17:35:38 | 2020-11-19T17:35:38Z | https://github.com/huggingface/datasets/issues/794 | hzqjyyx | [
"bug"
] | [] | [
"Hi ! Thanks for reporting that's a bug on master indeed.\r\nWe'll fix that soon"
] | NONE | Hi,
Currently I am trying to load csv file with customized read_options. And the latest master seems broken if we pass the ReadOptions object.
Here is a code snippet
```python
from datasets import load_dataset
from pyarrow.csv import ReadOptions
load_dataset("csv", data_files=["out.csv"], read_options=ReadOpt... | |
734,693,652 | MDU6SXNzdWU3MzQ2OTM2NTI= | 792 | KILT dataset: empty string in triviaqa input field | closed | completed | 2020-11-02T17:33:54 | 2020-11-05T10:34:59 | 2020-11-05T10:34:59Z | https://github.com/huggingface/datasets/issues/792 | PaulLerner | [] | [] | [
"Just found out about https://github.com/huggingface/datasets/blob/master/datasets/kilt_tasks/README.md\r\n(Not very clear in https://huggingface.co/datasets/kilt_tasks links to http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md which is dead, closing the issue though :))"
] | CONTRIBUTOR | # What happened
Both train and test splits of the triviaqa dataset (part of the KILT benchmark) seem to have empty string in their input field (unlike the natural questions dataset, part of the same benchmark)
# Versions
KILT version is `1.0.0`
`datasets` version is `1.1.2`
[more here](https://gist.github.com/Pa... | |
734,470,197 | MDU6SXNzdWU3MzQ0NzAxOTc= | 790 | Error running pip install -e ".[dev]" on MacOS 10.13.6: faiss/python does not exist | closed | completed | 2020-11-02T12:36:35 | 2020-11-10T14:05:02 | 2020-11-10T14:05:02Z | https://github.com/huggingface/datasets/issues/790 | shawwn | [] | [] | [
"I saw that `faiss-cpu` 1.6.4.post2 was released recently to fix the installation on macos. It should work now",
"Closing this one.\r\nFeel free to re-open if you still have issues"
] | NONE | I was following along with https://huggingface.co/docs/datasets/share_dataset.html#adding-tests-and-metadata-to-the-dataset when I ran into this error.
```sh
git clone https://github.com/huggingface/datasets
cd datasets
virtualenv venv -p python3 --system-site-packages
source venv/bin/activate
pip install -e ".... | |
734,136,124 | MDU6SXNzdWU3MzQxMzYxMjQ= | 788 | failed to reuse cache | closed | completed | 2020-11-02T02:42:36 | 2020-11-02T12:26:15 | 2020-11-02T12:26:15Z | https://github.com/huggingface/datasets/issues/788 | WangHexie | [] | [] | [] | NONE | I packed the `load_dataset ` in a function of class, and cached data in a directory. But when I import the class and use the function, the data still have to be downloaded again. The information (Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.28 GiB, post-processed: Unknown si... | |
733,761,717 | MDU6SXNzdWU3MzM3NjE3MTc= | 786 | feat(dataset): multiprocessing _generate_examples | closed | completed | 2020-10-31T16:52:16 | 2023-01-16T10:59:13 | 2023-01-16T10:59:13Z | https://github.com/huggingface/datasets/issues/786 | AmitMY | [] | [] | [
"I agree that would be cool :)\r\nRight now the only distributed dataset builder is based on Apache Beam so you can use distributed processing frameworks like Dataflow, Spark, Flink etc. to build your dataset but it's not really well suited for single-worker parallel processing afaik",
"`_generate_examples` can n... | CONTRIBUTOR | forking this out of #741, this issue is only regarding multiprocessing
I'd love if there was a dataset configuration parameter `workers`, where when it is `1` it behaves as it does right now, and when its `>1` maybe `_generate_examples` can also get the `pool` and return an iterable using the pool.
In my use case... | |
733,700,463 | MDU6SXNzdWU3MzM3MDA0NjM= | 784 | Issue with downloading Wikipedia data for low resource language | closed | completed | 2020-10-31T11:40:00 | 2022-02-09T17:50:16 | 2020-11-25T15:42:13Z | https://github.com/huggingface/datasets/issues/784 | SamuelCahyawijaya | [] | [] | [
"Hello, maybe you could ty to use another date for the wikipedia dump (see the available [dates](https://dumps.wikimedia.org/jvwiki) here for `jv`) ?",
"@lhoestq\r\n\r\nI've tried `load_dataset('wikipedia', '20200501.zh', beam_runner='DirectRunner')` and got the same `FileNotFoundError` as @SamuelCahyawijaya.\r\n... | NONE | Hi, I tried to download Sundanese and Javanese wikipedia data with the following snippet
```
jv_wiki = datasets.load_dataset('wikipedia', '20200501.jv', beam_runner='DirectRunner')
su_wiki = datasets.load_dataset('wikipedia', '20200501.su', beam_runner='DirectRunner')
```
And I get the following error for these tw... | |
732,449,652 | MDU6SXNzdWU3MzI0NDk2NTI= | 778 | Unexpected behavior when loading cached csv file? | closed | completed | 2020-10-29T16:06:10 | 2020-10-29T21:21:27 | 2020-10-29T21:21:27Z | https://github.com/huggingface/datasets/issues/778 | dcfidalgo | [] | [] | [
"Hi ! Thanks for reporting.\r\nThe same issue was reported in #730 (but with the encodings instead of the delimiter). It was fixed by #770 .\r\nThe fix will be available in the next release :)",
"Thanks for the prompt reply and terribly sorry for the spam! \r\nLooking forward to the new release! "
] | CONTRIBUTOR | I read a csv file from disk and forgot so specify the right delimiter. When i read the csv file again specifying the right delimiter it had no effect since it was using the cached dataset. I am not sure if this is unwanted behavior since i can always specify `download_mode="force_redownload"`. But i think it would be n... | |
731,684,153 | MDU6SXNzdWU3MzE2ODQxNTM= | 773 | Adding CC-100: Monolingual Datasets from Web Crawl Data | closed | completed | 2020-10-28T18:20:41 | 2022-01-26T13:22:54 | 2020-12-14T10:20:07Z | https://github.com/huggingface/datasets/issues/773 | yjernite | [
"dataset request"
] | [
"abhishekkrthakur"
] | [
"cc @aconneau ;) ",
"These dataset files are no longer available. https://data.statmt.org/cc-100/ files provided in this link are no longer available. Can anybody fix that issue?\r\n@abhishekkrthakur @yjernite ",
"Hi ! Can you open an issue to report this problem ? This will help keep track of the fix :)",
"... | MEMBER | ## Adding a Dataset
- **Name:** CC-100: Monolingual Datasets from Web Crawl Data
- **Description:** https://twitter.com/alex_conneau/status/1321507120848625665
- **Paper:** https://arxiv.org/abs/1911.02116
- **Data:** http://data.statmt.org/cc-100/
- **Motivation:** A large scale multi-lingual language modeling da... | |
731,482,213 | MDU6SXNzdWU3MzE0ODIyMTM= | 771 | Using `Dataset.map` with `n_proc>1` print multiple progress bars | closed | completed | 2020-10-28T14:13:27 | 2023-02-13T20:16:39 | 2023-02-13T20:16:39Z | https://github.com/huggingface/datasets/issues/771 | sgugger | [] | [] | [
"Yes it allows to monitor the speed of each process. Currently each process takes care of one shard of the dataset.\r\n\r\nAt one point we can consider using streaming batches to a pool of processes instead of sharding the dataset in `num_proc` parts. At that point it will be easy to use only one progress bar",
"... | CONTRIBUTOR | When using `Dataset.map` with `n_proc > 1`, only one of the processes should print a progress bar (to make the output readable). Right now, `n_proc` progress bars are printed. | |
731,257,104 | MDU6SXNzdWU3MzEyNTcxMDQ= | 769 | How to choose proper download_mode in function load_dataset? | closed | completed | 2020-10-28T09:16:19 | 2022-02-22T12:22:52 | 2022-02-22T12:22:52Z | https://github.com/huggingface/datasets/issues/769 | jzq2000 | [] | [] | [
"`download_mode=datasets.GenerateMode.FORCE_REDOWNLOAD` should work.\r\nThis makes me think we we should rename this to DownloadMode.FORCE_REDOWNLOAD. Currently that's confusing",
"Can we just use `features=...` in `load_dataset` for this @lhoestq?",
"Indeed you should use `features` in this case. \r\n```python... | NONE | Hi, I am a beginner to datasets and I try to use datasets to load my csv file.
my csv file looks like this
```
text,label
"Effective but too-tepid biopic",3
"If you sometimes like to go to the movies to have fun , Wasabi is a good place to start .",4
"Emerges as something rare , an issue movie that 's so hones... | |
730,908,060 | MDU6SXNzdWU3MzA5MDgwNjA= | 768 | Add a `lazy_map` method to `Dataset` and `DatasetDict` | open | 2020-10-27T22:33:03 | 2020-10-28T08:58:13 | https://github.com/huggingface/datasets/issues/768 | sgugger | [
"enhancement"
] | [] | [
"This is cool! I think some aspects to think about and decide in terms of API are:\r\n- do we allow several methods (chained i guess)\r\n- how do we inspect the currently set method(s)\r\n- how do we control/reset them"
] | CONTRIBUTOR | The library is great, but it would be even more awesome with a `lazy_map` method implemented on `Dataset` and `DatasetDict`. This would apply a function on a give item but when the item is requested. Two use cases:
1. load image on the fly
2. apply a random function and get different outputs at each epoch (like dat... | |||
730,771,610 | MDU6SXNzdWU3MzA3NzE2MTA= | 767 | Add option for named splits when using ds.train_test_split | open | 2020-10-27T19:59:44 | 2020-11-10T14:05:21 | https://github.com/huggingface/datasets/issues/767 | nateraw | [
"enhancement"
] | [] | [
"Yes definitely we should give more flexibility to control the name of the splits outputted by `train_test_split`.\r\n\r\nRelated is the very interesting feedback from @bramvanroy on how we should improve this method: https://discuss.huggingface.co/t/how-to-split-main-dataset-into-train-dev-test-as-datasetdict/1090... | CONTRIBUTOR | ### Feature Request 🚀
Can we add a way to name your splits when using the `.train_test_split` function?
In almost every use case I've come across, I have a `train` and a `test` split in my `DatasetDict`, and I want to create a `validation` split. Therefore, its kinda useless to get a `test` split back from `tra... | |||
730,669,596 | MDU6SXNzdWU3MzA2Njk1OTY= | 766 | [GEM] add DART data-to-text generation dataset | closed | completed | 2020-10-27T17:34:04 | 2020-12-03T13:37:18 | 2020-12-03T13:37:18Z | https://github.com/huggingface/datasets/issues/766 | yjernite | [
"dataset request"
] | [] | [
"Is this a duplicate of #924 ?",
"Yup, closing! Haven't been keeping track of the solved issues during the sprint."
] | MEMBER | ## Adding a Dataset
- **Name:** DART
- **Description:** DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.
- **P... | |
730,668,332 | MDU6SXNzdWU3MzA2NjgzMzI= | 765 | [GEM] Add DART data-to-text generation dataset | closed | completed | 2020-10-27T17:32:23 | 2020-10-27T17:34:21 | 2020-10-27T17:34:21Z | https://github.com/huggingface/datasets/issues/765 | yjernite | [
"dataset request"
] | [] | [] | MEMBER | ## Adding a Dataset
- **Name:** DART
- **Description:** DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.
- **P... | |
730,586,972 | MDU6SXNzdWU3MzA1ODY5NzI= | 762 | [GEM] Add Czech Restaurant data-to-text generation dataset | closed | completed | 2020-10-27T16:00:47 | 2020-12-03T13:37:44 | 2020-12-03T13:37:44Z | https://github.com/huggingface/datasets/issues/762 | yjernite | [
"dataset request"
] | [] | [] | MEMBER | - Paper: https://www.aclweb.org/anthology/W19-8670.pdf
- Data: https://github.com/UFAL-DSG/cs_restaurant_dataset
- The dataset will likely be part of the GEM benchmark | |
729,898,867 | MDU6SXNzdWU3Mjk4OTg4Njc= | 761 | Downloaded datasets are not usable offline | closed | completed | 2020-10-26T20:54:46 | 2022-02-15T10:32:28 | 2022-02-15T10:32:28Z | https://github.com/huggingface/datasets/issues/761 | ghazi-f | [] | [] | [
"Yes currently you need an internet connection because the lib tries to check for the etag of the dataset script online to see if you don't have it locally already.\r\n\r\nIf we add a way to store the etag/hash locally after the first download, it would allow users to first download the dataset with an internet con... | CONTRIBUTOR | I've been trying to use the IMDB dataset offline, but after downloading it and turning off the internet it still raises an error from the ```requests``` library trying to reach for the online dataset.
Is this the intended behavior ?
(Sorry, I wrote the the first version of this issue while still on nlp 0.3.0). | |
729,637,917 | MDU6SXNzdWU3Mjk2Mzc5MTc= | 760 | Add meta-data to the HANS dataset | closed | completed | 2020-10-26T14:56:53 | 2020-12-03T13:38:34 | 2020-12-03T13:38:34Z | https://github.com/huggingface/datasets/issues/760 | yjernite | [
"good first issue",
"dataset bug"
] | [
"TevenLeScao"
] | [] | MEMBER | The current version of the [HANS dataset](https://github.com/huggingface/datasets/blob/master/datasets/hans/hans.py) is missing the additional information provided for each example, including the sentence parses, heuristic and subcase. | |
729,046,916 | MDU6SXNzdWU3MjkwNDY5MTY= | 759 | (Load dataset failure) ConnectionError: Couldn’t reach https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/cnn_dailymail/cnn_dailymail.py | closed | completed | 2020-10-25T15:34:57 | 2023-09-13T23:56:51 | 2021-08-04T18:10:09Z | https://github.com/huggingface/datasets/issues/759 | AI678 | [] | [] | [
"Are you running the script on a machine with an internet connection ?",
"Yes , I can browse the url through Google Chrome.",
"Does this HEAD request return 200 on your machine ?\r\n```python\r\nimport requests ... | NONE | Hey, I want to load the cnn-dailymail dataset for fine-tune.
I write the code like this
from datasets import load_dataset
test_dataset = load_dataset(“cnn_dailymail”, “3.0.0”, split=“train”)
And I got the following errors.
Traceback (most recent call last):
File “test.py”, line 7, in
test_dataset = load_da... | |
728,638,559 | MDU6SXNzdWU3Mjg2Mzg1NTk= | 758 | Process 0 very slow when using num_procs with map to tokenizer | closed | completed | 2020-10-24T02:40:20 | 2020-10-28T03:59:46 | 2020-10-28T03:59:45Z | https://github.com/huggingface/datasets/issues/758 | ksjae | [] | [] | [
"Hi ! Thanks for reporting.\r\nIs the distribution of text length of your data evenly distributed across your dataset ? I mean, could it be because the examples in the first part of your dataset are slower to process ?\r\nAlso could how many CPUs can you use for multiprocessing ?\r\n```python\r\nimport multiprocess... | NONE | <img width="721" alt="image" src="https://user-images.githubusercontent.com/17930170/97066109-776d0d00-15ed-11eb-8bba-bb4d2e0fcc33.png">
The code I am using is
```
dataset = load_dataset("text", data_files=[file_path], split='train')
dataset = dataset.map(lambda ex: tokenizer(ex["text"], add_speci... | |
728,241,494 | MDU6SXNzdWU3MjgyNDE0OTQ= | 757 | CUDA out of memory | closed | completed | 2020-10-23T13:57:00 | 2020-12-23T14:06:29 | 2020-12-23T14:06:29Z | https://github.com/huggingface/datasets/issues/757 | li1117heex | [] | [] | [
"Could you provide more details ? What's the code you ran ?",
"```python\r\ntokenizer = FunnelTokenizer.from_pretrained('funnel-transformer/small')\r\n\r\ndef tokenize(batch):\r\n return tokenizer(batch['text'], padding='max_length', truncation=True,max_length=512)\r\n\r\ndataset = load_dataset(\"bookcorpus\",... | NONE | In your dataset ,cuda run out of memory as long as the trainer begins:
however, without changing any other element/parameter,just switch dataset to `LineByLineTextDataset`,everything becames OK.
| |
726,917,801 | MDU6SXNzdWU3MjY5MTc4MDE= | 752 | Clicking on a metric in the search page points to datasets page giving "Missing dataset" warning | closed | completed | 2020-10-21T22:56:23 | 2020-10-22T16:19:42 | 2020-10-22T16:19:42Z | https://github.com/huggingface/datasets/issues/752 | ogabrielluiz | [] | [] | [
"Thanks for the report, can reproduce. Will fix",
"Fixed now @ogabrielluiz "
] | NONE | Hi! Sorry if this isn't the right place to talk about the website, I just didn't exactly where to write this.
Searching a metric in https://huggingface.co/metrics gives the right results but clicking on a metric (E.g ROUGE) points to https://huggingface.co/datasets/rouge. Clicking on a metric without searching point... | |
726,820,191 | MDU6SXNzdWU3MjY4MjAxOTE= | 751 | Error loading ms_marco v2.1 using load_dataset() | closed | completed | 2020-10-21T19:54:43 | 2020-11-05T01:31:57 | 2020-11-05T01:31:57Z | https://github.com/huggingface/datasets/issues/751 | JainSahit | [] | [] | [
"There was a similar issue in #294 \r\nClearing the cache and download again the dataset did the job. Could you try to clear your cache and download the dataset again ?",
"I was able to load the dataset successfully, I'm pretty sure it's just a cache issue that you have.\r\nLet me know if clearing your cache fixe... | NONE | Code:
`dataset = load_dataset('ms_marco', 'v2.1')`
Error:
```
`---------------------------------------------------------------------------
JSONDecodeError Traceback (most recent call last)
<ipython-input-16-34378c057212> in <module>()
9
10 # Downloading and loading a data... | |
726,589,446 | MDU6SXNzdWU3MjY1ODk0NDY= | 750 | load_dataset doesn't include `features` in its hash | closed | completed | 2020-10-21T15:16:41 | 2020-10-29T09:36:01 | 2020-10-29T09:36:01Z | https://github.com/huggingface/datasets/issues/750 | sgugger | [] | [] | [] | CONTRIBUTOR | It looks like the function `load_dataset` does not include what's passed in the `features` argument when creating a hash for a given dataset. As a result, if a user includes new features from an already downloaded dataset, those are ignored.
Example: some models on the hub have a different ordering for the labels t... | |
726,366,062 | MDU6SXNzdWU3MjYzNjYwNjI= | 749 | [XGLUE] Adding new dataset | closed | completed | 2020-10-21T10:51:36 | 2022-09-30T11:35:30 | 2021-01-06T10:02:55Z | https://github.com/huggingface/datasets/issues/749 | patrickvonplaten | [
"dataset request"
] | [
"patrickvonplaten"
] | [
"Amazing! ",
"Small poll @thomwolf @yjernite @lhoestq @JetRunner @qiweizhen .\r\n\r\nAs stated in the XGLUE paper: https://arxiv.org/pdf/2004.01401.pdf , for each of the 11 down-stream tasks training data is only available in English, whereas development and test data is available in multiple different language ... | CONTRIBUTOR | XGLUE is a multilingual GLUE like dataset propesed in this [paper](https://arxiv.org/pdf/2004.01401.pdf).
I'm planning on adding the dataset to the library myself in a couple of weeks.
Also tagging @JetRunner @qiweizhen in case I need some guidance | |
724,918,448 | MDU6SXNzdWU3MjQ5MTg0NDg= | 744 | Dataset Explorer Doesn't Work for squad_es and squad_it | closed | completed | 2020-10-19T19:34:12 | 2020-10-26T16:36:17 | 2020-10-26T16:36:17Z | https://github.com/huggingface/datasets/issues/744 | gaotongxiao | [
"nlp-viewer"
] | [] | [
"Oups wrong click.\r\nThis one is for you @srush"
] | NONE | https://huggingface.co/nlp/viewer/?dataset=squad_es
https://huggingface.co/nlp/viewer/?dataset=squad_it
Both pages show "OSError: [Errno 28] No space left on device". | |
724,703,980 | MDU6SXNzdWU3MjQ3MDM5ODA= | 743 | load_dataset for CSV files not working | open | 2020-10-19T14:53:51 | 2026-05-21T23:27:28 | https://github.com/huggingface/datasets/issues/743 | iliemihai | [] | [] | [
"Thank you !\r\nCould you provide a csv file that reproduces the error ?\r\nIt doesn't have to be one of your dataset. As long as it reproduces the error\r\nThat would help a lot !",
"I think another good example is the following:\r\n`\r\nfrom datasets import load_dataset\r\n`\r\n`\r\ndataset = load_dataset(\"csv... | CONTRIBUTOR | Similar to #622, I've noticed there is a problem when trying to load a CSV file with datasets.
`
from datasets import load_dataset
`
`
dataset = load_dataset("csv", data_files=["./sample_data.csv"], delimiter="\t", column_names=["title", "text"], script_version="master")
`
Displayed error:
`
...
ArrowInva... | |||
723,924,275 | MDU6SXNzdWU3MjM5MjQyNzU= | 741 | Creating dataset consumes too much memory | closed | completed | 2020-10-18T06:07:06 | 2022-02-15T17:03:10 | 2022-02-15T17:03:10Z | https://github.com/huggingface/datasets/issues/741 | AmitMY | [] | [] | [
"Thanks for reporting.\r\nIn theory since the dataset script is just made to yield examples to write them into an arrow file, it's not supposed to create memory issues.\r\n\r\nCould you please try to run this exact same loop in a separate script to see if it's not an issue with `PIL` ?\r\nYou can just copy paste wh... | CONTRIBUTOR | Moving this issue from https://github.com/huggingface/datasets/pull/722 here, because it seems like a general issue.
Given the following dataset example, where each example saves a sequence of 260x210x3 images (max length 400):
```python
def _generate_examples(self, base_path, split):
""" Yields examp... | |
722,463,923 | MDU6SXNzdWU3MjI0NjM5MjM= | 737 | Trec Dataset Connection Error | closed | completed | 2020-10-15T15:57:53 | 2020-10-19T08:54:36 | 2020-10-19T08:54:36Z | https://github.com/huggingface/datasets/issues/737 | aychang95 | [] | [] | [
"Thanks for reporting.\r\nThat's because the download url has changed. The old url now redirects to the new one but we don't support redirection for downloads.\r\n\r\nI'm opening a PR to update the url"
] | NONE | **Datasets Version:**
1.1.2
**Python Version:**
3.6/3.7
**Code:**
```python
from datasets import load_dataset
load_dataset("trec")
```
**Expected behavior:**
Download Trec dataset and load Dataset object
**Current Behavior:**
Get a connection error saying it couldn't reach http://cogcomp.org/Data/... | |
722,225,270 | MDU6SXNzdWU3MjIyMjUyNzA= | 735 | Throw error when an unexpected key is used in data_files | closed | completed | 2020-10-15T10:55:27 | 2020-10-30T13:23:52 | 2020-10-30T13:23:52Z | https://github.com/huggingface/datasets/issues/735 | BramVanroy | [] | [] | [
"Thanks for reporting !\r\nWe'll add support for other keys"
] | CONTRIBUTOR | I have found that only "train", "validation" and "test" are valid keys in the `data_files` argument. When you use any other ones, those attached files are silently ignored - leading to unexpected behaviour for the users.
So the following, unintuitively, returns only one key (namely `train`).
```python
datasets =... | |
721,073,812 | MDU6SXNzdWU3MjEwNzM4MTI= | 730 | Possible caching bug | closed | completed | 2020-10-14T02:02:34 | 2022-11-22T01:45:54 | 2020-10-29T09:36:01Z | https://github.com/huggingface/datasets/issues/730 | ArneBinder | [
"bug"
] | [] | [
"Thanks for reporting. That's a bug indeed.\r\nApparently only the `data_files` parameter is taken into account right now in `DatasetBuilder._create_builder_config` but it should also be the case for `config_kwargs` (or at least the instantiated `builder_config`)",
"Hi, does this bug be fixed? when I load JSON fi... | NONE | The following code with `test1.txt` containing just "🤗🤗🤗":
```
dataset = datasets.load_dataset('text', data_files=['test1.txt'], split="train", encoding="latin_1")
print(dataset[0])
dataset = datasets.load_dataset('text', data_files=['test1.txt'], split="train", encoding="utf-8")
print(dataset[0])
```
produc... | |
719,558,876 | MDU6SXNzdWU3MTk1NTg4NzY= | 729 | Better error message when one forgets to call `add_batch` before `compute` | closed | completed | 2020-10-12T17:59:22 | 2020-10-29T15:18:24 | 2020-10-29T15:18:24Z | https://github.com/huggingface/datasets/issues/729 | sgugger | [] | [] | [] | CONTRIBUTOR | When using metrics, if for some reason a user forgets to call `add_batch` to a metric before `compute` (with no arguments), the error message is a bit cryptic and could probably be made clearer.
## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
... | |
719,555,780 | MDU6SXNzdWU3MTk1NTU3ODA= | 728 | Passing `cache_dir` to a metric does not work | closed | completed | 2020-10-12T17:55:14 | 2020-10-29T09:34:42 | 2020-10-29T09:34:42Z | https://github.com/huggingface/datasets/issues/728 | sgugger | [] | [] | [] | CONTRIBUTOR | When passing `cache_dir` to a custom metric, the folder is concatenated to itself at some point and this results in a FileNotFoundError:
## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
def _info(self):
return datasets.MetricInfo(
... | |
719,386,366 | MDU6SXNzdWU3MTkzODYzNjY= | 727 | Parallel downloads progress bar flickers | open | 2020-10-12T13:36:05 | 2026-05-22T06:48:53 | https://github.com/huggingface/datasets/issues/727 | lhoestq | [] | [] | [
"Hi! Triaging older issues this week — I think this one has shipped and can be closed.\n\nThe exact fix suggested in the original report (assign `position=i` to each parallel tqdm bar so they don't share a line) is in place on current `main` (4.8.6.dev0):\n\n- `src/datasets/utils/py_utils.py:401` — the per-worker t... | MEMBER | When there are parallel downloads using the download manager, the tqdm progress bar flickers since all the progress bars are on the same line.
To fix that we could simply specify `position=i` for i=0 to n the number of files to download when instantiating the tqdm progress bar.
Another way would be to have one "... | |||
719,313,754 | MDU6SXNzdWU3MTkzMTM3NTQ= | 726 | "Checksums didn't match for dataset source files" error while loading openwebtext dataset | closed | completed | 2020-10-12T11:45:10 | 2022-02-17T17:53:54 | 2022-02-15T10:38:57Z | https://github.com/huggingface/datasets/issues/726 | SparkJiao | [] | [] | [
"Hi try, to provide more information please.\r\n\r\nExample code in a colab to reproduce the error, details on what you are trying to do and what you were expected and details on your environment (OS, PyPi packages version).",
"> Hi try, to provide more information please.\r\n> \r\n> Example code in a colab to re... | NONE | Hi,
I have encountered this problem during loading the openwebtext dataset:
```
>>> dataset = load_dataset('openwebtext')
Downloading and preparing dataset openwebtext/plain_text (download: 12.00 GiB, generated: 37.04 GiB, post-processed: Unknown size, total: 49.03 GiB) to /home/admin/.cache/huggingface/datasets/op... | |
718,947,700 | MDU6SXNzdWU3MTg5NDc3MDA= | 724 | need to redirect /nlp to /datasets and remove outdated info | closed | completed | 2020-10-11T23:12:12 | 2020-10-14T17:00:12 | 2020-10-14T17:00:12Z | https://github.com/huggingface/datasets/issues/724 | stas00 | [] | [] | [
"Should be fixed now: \r\n\r\n\r\n\r\nNot sure I understand what you mean by the second part?\r\n",
"Thank you!\r\n\r\n> Not sure I understand what you mean by the second part?\r\n\r\nCompare the 2:\r\n* htt... | CONTRIBUTOR | It looks like the website still has all the `nlp` data, e.g.: https://huggingface.co/nlp/viewer/?dataset=wikihow&config=all
should probably redirect to: https://huggingface.co/datasets/wikihow
also for some reason the new information is slightly borked. If you look at the old one it was nicely formatted and had t... | |
718,926,723 | MDU6SXNzdWU3MTg5MjY3MjM= | 723 | Adding pseudo-labels to datasets | closed | completed | 2020-10-11T21:05:45 | 2021-08-03T05:11:51 | 2021-08-03T05:11:51Z | https://github.com/huggingface/datasets/issues/723 | sshleifer | [] | [
"sshleifer"
] | [
"Nice ! :)\r\nIt's indeed the first time we have such contributions so we'll have to figure out the appropriate way to integrate them.\r\nCould you add details on what they could be used for ?\r\n",
"They can be used as training data for a smaller model.",
"Sounds just like a regular dataset to me then, no?",
... | CONTRIBUTOR | I recently [uploaded pseudo-labels](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/precomputed_pseudo_labels.md) for CNN/DM, XSUM and WMT16-en-ro to s3, and thom mentioned I should add them to this repo.
Since pseudo-labels are just a large model's generations on an existing dataset, what is ... | |
718,647,147 | MDU6SXNzdWU3MTg2NDcxNDc= | 721 | feat(dl_manager): add support for ftp downloads | closed | completed | 2020-10-10T15:50:20 | 2022-02-15T10:44:44 | 2022-02-15T10:44:43Z | https://github.com/huggingface/datasets/issues/721 | AmitMY | [] | [] | [
"We only support http by default for downloading.\r\nIf you really need to use ftp, then feel free to use a library that allows to download through ftp in your dataset script (I see that you've started working on #722 , that's awesome !). The users will get a message to install the extra library when they load the ... | CONTRIBUTOR | I am working on a new dataset (#302) and encounter a problem downloading it.
```python
# This is the official download link from https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/
_URL = "ftp://wasserstoff.informatik.rwth-aachen.de/pub/rwth-phoenix/2016/phoenix-2014-T.v3.tar.gz"
dl_manager.do... | |
716,581,266 | MDU6SXNzdWU3MTY1ODEyNjY= | 720 | OSError: Cannot find data file when not using the dummy dataset in RAG | closed | completed | 2020-10-07T14:27:13 | 2020-12-23T14:04:31 | 2020-12-23T14:04:31Z | https://github.com/huggingface/datasets/issues/720 | josemlopez | [] | [
"lhoestq"
] | [
"Same issue here. I will be digging further, but it looks like the [script](https://github.com/huggingface/datasets/blob/master/datasets/wiki_dpr/wiki_dpr.py#L132) is attempting to open a file that is not downloaded yet. \r\n\r\n```\r\n99dcbca09109e58502e6b9271d4d3f3791b43f61f3161a76b25d2775ab1a4498.lock\r\n```\r\n... | NONE | ## Environment info
transformers version: 3.3.1
Platform: Linux-4.19
Python version: 3.7.7
PyTorch version (GPU?): 1.6.0
Tensorflow version (GPU?): No
Using GPU in script?: Yes
Using distributed or parallel set-up in script?: No
## To reproduce
Steps to reproduce the behaviour... | |
714,242,316 | MDU6SXNzdWU3MTQyNDIzMTY= | 712 | Error in the notebooks/Overview.ipynb notebook | closed | completed | 2020-10-04T05:58:31 | 2020-10-05T16:25:40 | 2020-10-05T16:25:40Z | https://github.com/huggingface/datasets/issues/712 | subhrm | [] | [] | [
"Do this:\r\n``` python\r\nsquad_dataset = list_datasets(with_details=True)[datasets.index('squad')]\r\npprint(squad_dataset.__dict__) # It's a simple python dataclass\r\n```",
"Thanks! This worked. I have created a PR to fix this in the notebook. "
] | CONTRIBUTOR | Hi,
I got the following error in **cell number 3** while exploring the **Overview.ipynb** notebook in google colab. I used the [link ](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) provided in the main README file to open it in colab.
```python
# You can acc... | |
714,067,902 | MDU6SXNzdWU3MTQwNjc5MDI= | 709 | How to use similarity settings other then "BM25" in Elasticsearch index ? | closed | completed | 2020-10-03T11:18:49 | 2022-10-04T17:19:37 | 2022-10-04T17:19:37Z | https://github.com/huggingface/datasets/issues/709 | nsankar | [] | [] | [
"Datasets does not use elasticsearch API to define custom similarity. If you want to use a custom similarity, the best would be to run a curl request directly to your elasticsearch instance (see sample hereafter, directly from ES documentation), then you should be able to use `my_similarity` in your configuration p... | NONE | **QUESTION : How should we use other similarity algorithms supported by Elasticsearch other than "BM25" ?**
**ES Reference**
https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules-similarity.html
**HF doc reference:**
https://huggingface.co/docs/datasets/faiss_and_ea.html
**context :**
=... | |
714,020,953 | MDU6SXNzdWU3MTQwMjA5NTM= | 708 | Datasets performance slow? - 6.4x slower than in memory dataset | closed | completed | 2020-10-03T06:44:07 | 2021-02-12T14:13:28 | 2021-02-12T14:13:28Z | https://github.com/huggingface/datasets/issues/708 | eugeneware | [] | [] | [
"Facing a similar issue here. My model using SQuAD dataset takes about 1h to process with in memory data and more than 2h with datasets directly.",
"And if you use in-memory-data with datasets with `load_dataset(..., keep_in_memory=True)`?",
"Thanks for the tip @thomwolf ! I did not see that flag in the docs. I... | NONE | I've been very excited about this amazing datasets project. However, I've noticed that the performance can be substantially slower than using an in-memory dataset.
Now, this is expected I guess, due to memory mapping data using arrow files, and you don't get anything for free. But I was surprised at how much slower.... | |
713,954,666 | MDU6SXNzdWU3MTM5NTQ2NjY= | 707 | Requirements should specify pyarrow<1 | closed | completed | 2020-10-02T23:39:39 | 2020-12-04T08:22:39 | 2020-10-04T20:50:28Z | https://github.com/huggingface/datasets/issues/707 | mathcass | [] | [] | [
"Hello @mathcass I would want to work on this issue. May I do the same? ",
"@punitaojha, certainly. Feel free to work on this. Let me know if you need any help or clarity.",
"Hello @mathcass \r\n1. I did fork the repository and clone the same on my local system. \r\n\r\n2. Then learnt about how we can publish o... | NONE | I was looking at the docs on [Perplexity](https://huggingface.co/transformers/perplexity.html) via GPT2. When you load datasets and try to load Wikitext, you get the error,
```
module 'pyarrow' has no attribute 'PyExtensionType'
```
I traced it back to datasets having installed PyArrow 1.0.1 but there's not pinni... | |
713,709,100 | MDU6SXNzdWU3MTM3MDkxMDA= | 705 | TypeError: '<' not supported between instances of 'NamedSplit' and 'NamedSplit' | closed | completed | 2020-10-02T15:27:55 | 2020-10-05T08:14:59 | 2020-10-05T08:14:59Z | https://github.com/huggingface/datasets/issues/705 | pvcastro | [] | [
"lhoestq"
] | [
"Hi !\r\nThanks for reporting :) \r\nIndeed this is an issue on the `datasets` side.\r\nI'm creating a PR",
"Thanks @lhoestq !"
] | NONE | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1 (installed from master)
- `datasets` version: 1.0.2 (installed as a dependency from transformers)
... | |
713,395,642 | MDU6SXNzdWU3MTMzOTU2NDI= | 699 | XNLI dataset is not loading | closed | completed | 2020-10-02T06:53:16 | 2020-10-03T17:45:52 | 2020-10-03T17:43:37Z | https://github.com/huggingface/datasets/issues/699 | imadarsh1001 | [] | [] | [
"also i tried below code to solve checksum error \r\n`datasets-cli test ./datasets/xnli --save_infos --all_configs`\r\n\r\nand it shows \r\n\r\n```\r\n2020-10-02 07:06:16.588760: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\r\nTraceback (most ... | NONE | `dataset = datasets.load_dataset(path='xnli')`
showing below error
```
/opt/conda/lib/python3.7/site-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
36 if len(bad_urls) > 0:
37 error_msg = "Checksums didn't match" + for_verifi... | |
712,389,499 | MDU6SXNzdWU3MTIzODk0OTk= | 691 | Add UI filter to filter datasets based on task | closed | completed | 2020-10-01T00:56:18 | 2022-02-15T10:46:50 | 2022-02-15T10:46:50Z | https://github.com/huggingface/datasets/issues/691 | praateekmahajan | [
"enhancement"
] | [] | [
"Already supported."
] | NONE | This is great work, so huge shoutout to contributors and huggingface.
The [/nlp/viewer](https://huggingface.co/nlp/viewer/) is great and the [/datasets](https://huggingface.co/datasets) page is great. I was wondering if in both or either places we can have a filter that selects if a dataset is good for the following... | |
712,150,321 | MDU6SXNzdWU3MTIxNTAzMjE= | 690 | XNLI dataset: NonMatchingChecksumError | closed | completed | 2020-09-30T17:50:03 | 2020-10-01T17:15:08 | 2020-10-01T14:01:14Z | https://github.com/huggingface/datasets/issues/690 | xiey1 | [] | [] | [
"Thanks for reporting.\r\nThe data file must have been updated by the host.\r\nI'll update the checksum with the new one.",
"Well actually it looks like the link isn't working anymore :(",
"The new link is https://cims.nyu.edu/~sbowman/xnli/XNLI-1.0.zip\r\nI'll update the dataset script",
"I'll do a release i... | NONE | Hi,
I tried to download "xnli" dataset in colab using
`xnli = load_dataset(path='xnli')`
but got 'NonMatchingChecksumError' error
`NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-27-a87bedc82eeb> in <module>()
----> 1 xnli = load_dataset(path='xnli')
3 frames
/usr... | |
711,664,810 | MDU6SXNzdWU3MTE2NjQ4MTA= | 687 | `ArrowInvalid` occurs while running `Dataset.map()` function | closed | completed | 2020-09-30T06:16:50 | 2020-09-30T09:53:03 | 2020-09-30T09:53:03Z | https://github.com/huggingface/datasets/issues/687 | peinan | [] | [] | [
"Hi !\r\n\r\nThis is because `encode` expects one single text as input (str), or one tokenized text (List[str]).\r\nI believe that you actually wanted to use `encode_batch` which expects a batch of texts.\r\nHowever this method is only available for our \"fast\" tokenizers (ex: BertTokenizerFast).\r\nBertJapanese i... | NONE | It seems to fail to process the final batch. This [colab](https://colab.research.google.com/drive/1_byLZRHwGP13PHMkJWo62Wp50S_Z2HMD?usp=sharing) can reproduce the error.
Code:
```python
# train_ds = Dataset(features: {
# 'title': Value(dtype='string', id=None),
# 'score': Value(dtype='float64', id=Non... | |
711,385,739 | MDU6SXNzdWU3MTEzODU3Mzk= | 686 | Dataset browser url is still https://huggingface.co/nlp/viewer/ | closed | completed | 2020-09-29T19:21:52 | 2021-01-08T18:29:26 | 2021-01-08T18:29:26Z | https://github.com/huggingface/datasets/issues/686 | jarednielsen | [] | [] | [
"Yes! might do it with @srush one of these days. Hopefully it won't break too many links (we can always redirect from old url to new)",
"This was fixed but forgot to close the issue. cc @lhoestq @yjernite \r\n\r\nThanks @jarednielsen!"
] | CONTRIBUTOR | Might be worth updating to https://huggingface.co/datasets/viewer/ | |
710,060,497 | MDU6SXNzdWU3MTAwNjA0OTc= | 678 | The download instructions for c4 datasets are not contained in the error message | closed | completed | 2020-09-28T08:30:54 | 2020-09-28T10:26:09 | 2020-09-28T10:26:09Z | https://github.com/huggingface/datasets/issues/678 | Narsil | [] | [] | [
"Good catch !\r\nIndeed the `@property` is missing.\r\n\r\nFeel free to open a PR :)",
"Also not that C4 is a dataset that needs an Apache Beam runtime to be generated.\r\nFor example Dataflow, Spark, Flink etc.\r\n\r\nUsually we generate the dataset on our side once and for all, but we haven't done it for C4 yet... | CONTRIBUTOR | The manual download instructions are not clear
```The dataset c4 with config en requires manual data.
Please follow the manual download instructions: <bound method C4.manual_download_instructions of <datasets_modules.datasets.c4.830b0c218bd41fed439812c8dd19dbd4767d2a3faa385eb695cf8666c982b1b3.c4.C4 object at 0x7ff... | |
710,014,319 | MDU6SXNzdWU3MTAwMTQzMTk= | 676 | train_test_split returns empty dataset item | closed | completed | 2020-09-28T07:19:33 | 2020-10-07T13:46:33 | 2020-10-07T13:38:06Z | https://github.com/huggingface/datasets/issues/676 | mojave-pku | [] | [] | [
"The problem still exists after removing the cache files.",
"Can you reproduce this example in a Colab so we can investigate? (or give more information on your software/hardware config)",
"Thanks for reporting.\r\nI just found the issue, I'm creating a PR",
"We'll do a release pretty soon to include the fix :... | NONE | I try to split my dataset by `train_test_split`, but after that the item in `train` and `test` `Dataset` is empty.
The codes:
```
yelp_data = datasets.load_from_disk('/home/ssd4/huanglianzhe/test_yelp')
print(yelp_data[0])
yelp_data = yelp_data.train_test_split(test_size=0.1)
print(yelp_data)
pri... | |
709,818,725 | MDU6SXNzdWU3MDk4MTg3MjU= | 675 | Add custom dataset to NLP? | closed | completed | 2020-09-27T21:22:50 | 2020-10-20T09:08:49 | 2020-10-20T09:08:49Z | https://github.com/huggingface/datasets/issues/675 | timpal0l | [] | [] | [
"Yes you can have a look here: https://huggingface.co/docs/datasets/loading_datasets.html#csv-files",
"No activity, closing"
] | CONTRIBUTOR | Is it possible to add a custom dataset such as a .csv to the NLP library?
Thanks. | |
709,661,006 | MDU6SXNzdWU3MDk2NjEwMDY= | 674 | load_dataset() won't download in Windows | closed | completed | 2020-09-27T03:56:25 | 2020-10-05T08:28:18 | 2020-10-05T08:28:18Z | https://github.com/huggingface/datasets/issues/674 | ThisDavehead | [] | [] | [
"I have the same issue. Tried to download a few of them and not a single one is downloaded successfully.\r\n\r\nThis is the output:\r\n```\r\n>>> dataset = load_dataset('blended_skill_talk', split='train')\r\nUsing custom data configuration default <-- This step never ends\r\n```",
"This was fixed i... | NONE | I don't know if this is just me or Windows. Maybe other Windows users can chime in if they don't have this problem. I've been trying to get some of the tutorials working on Windows, but when I use the load_dataset() function, it just stalls and the script keeps running indefinitely without downloading anything. I've wa... | |
709,603,989 | MDU6SXNzdWU3MDk2MDM5ODk= | 673 | blog_authorship_corpus crashed | closed | completed | 2020-09-26T20:15:28 | 2022-02-15T10:47:58 | 2022-02-15T10:47:58Z | https://github.com/huggingface/datasets/issues/673 | Moshiii | [
"nlp-viewer"
] | [] | [
"Thanks for reporting !\r\nWe'll free some memory"
] | NONE | This is just to report that When I pick blog_authorship_corpus in
https://huggingface.co/nlp/viewer/?dataset=blog_authorship_corpus
I get this:
| |
709,575,527 | MDU6SXNzdWU3MDk1NzU1Mjc= | 672 | Questions about XSUM | closed | completed | 2020-09-26T17:16:24 | 2022-10-04T17:30:17 | 2022-10-04T17:30:17Z | https://github.com/huggingface/datasets/issues/672 | danyaljj | [] | [] | [
"We should try to regenerate the data using the official script.\r\nBut iirc that's what we used in the first place, so not sure why it didn't match in the first place.\r\n\r\nI'll let you know when the dataset is updated",
"Thanks, looking forward to hearing your update on this thread. \r\n\r\nThis is a blocking... | CONTRIBUTOR | Hi there ✋
I'm looking into your `xsum` dataset and I have several questions on that.
So here is how I loaded the data:
```
>>> data = datasets.load_dataset('xsum', version='1.0.1')
>>> data['train']
Dataset(features: {'document': Value(dtype='string', id=None), 'summary': Value(dtype='string', id=None)}, nu... | |
709,093,151 | MDU6SXNzdWU3MDkwOTMxNTE= | 671 | [BUG] No such file or directory | closed | completed | 2020-09-25T16:38:54 | 2020-09-28T14:42:42 | 2020-09-28T14:42:42Z | https://github.com/huggingface/datasets/issues/671 | jbragg | [] | [] | [] | CONTRIBUTOR | This happens when both
1. Huggingface datasets cache dir does not exist
2. Try to load a local dataset script
builder.py throws an error when trying to create a filelock in a directory (cache/datasets) that does not exist
https://github.com/huggingface/datasets/blob/master/src/datasets/builder.py#L177
Tested o... | |
708,857,595 | MDU6SXNzdWU3MDg4NTc1OTU= | 669 | How to skip a example when running dataset.map | closed | completed | 2020-09-25T11:17:53 | 2022-06-17T21:45:03 | 2020-10-05T16:28:13Z | https://github.com/huggingface/datasets/issues/669 | xixiaoyao | [] | [] | [
"Hi @xixiaoyao,\r\nDepending on what you want to do you can:\r\n- use a first step of `filter` to filter out the invalid examples: https://huggingface.co/docs/datasets/processing.html#filtering-rows-select-and-filter\r\n- or directly detect the invalid examples inside the callable used with `map` and return them un... | NONE | in processing func, I process examples and detect some invalid examples, which I did not want it to be added into train dataset. However I did not find how to skip this recognized invalid example when doing dataset.map. | |
708,310,956 | MDU6SXNzdWU3MDgzMTA5NTY= | 668 | OverflowError when slicing with an array containing negative ids | closed | completed | 2020-09-24T16:27:14 | 2020-09-28T14:42:19 | 2020-09-28T14:42:19Z | https://github.com/huggingface/datasets/issues/668 | lhoestq | [] | [] | [] | MEMBER | ```python
from datasets import Dataset
d = ds.Dataset.from_dict({"a": range(10)})
print(d[0])
# {'a': 0}
print(d[-1])
# {'a': 9}
print(d[[0, -1]])
# OverflowError
```
results in
```
---------------------------------------------------------------------------
OverflowError ... | |
708,258,392 | MDU6SXNzdWU3MDgyNTgzOTI= | 667 | Loss not decrease with Datasets and Transformers | closed | completed | 2020-09-24T15:14:43 | 2021-01-01T20:01:25 | 2021-01-01T20:01:25Z | https://github.com/huggingface/datasets/issues/667 | wangcongcong123 | [] | [] | [
"And I tested it on T5ForConditionalGeneration, that works no problem.",
"Hi did you manage to fix your issue ?\r\n\r\nIf so feel free to share your fix and close this thread"
] | NONE | HI,
The following script is used to fine-tune a BertForSequenceClassification model on SST2.
The script is adapted from [this colab](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) that presents an example of fine-tuning BertForQuestionAnswering using squad data... | |
707,608,578 | MDU6SXNzdWU3MDc2MDg1Nzg= | 666 | Does both 'bookcorpus' and 'wikipedia' belong to the same datasets which Google used for pretraining BERT? | closed | completed | 2020-09-23T19:02:25 | 2020-10-27T15:19:25 | 2020-10-27T15:19:25Z | https://github.com/huggingface/datasets/issues/666 | wahab4114 | [] | [] | [
"No they are other similar copies but they are not provided by the official Bert models authors."
] | NONE | ||
707,037,738 | MDU6SXNzdWU3MDcwMzc3Mzg= | 665 | runing dataset.map, it raises TypeError: can't pickle Tokenizer objects | closed | completed | 2020-09-23T04:28:14 | 2020-10-08T09:32:16 | 2020-10-08T09:32:16Z | https://github.com/huggingface/datasets/issues/665 | xixiaoyao | [] | [] | [
"Hi !\r\nIt works on my side with both the LongFormerTokenizer and the LongFormerTokenizerFast.\r\n\r\nWhich version of transformers/datasets are you using ?",
"transformers and datasets are both the latest",
"Then I guess you need to give us more informations on your setup (OS, python, GPU, etc) or a Google Co... | NONE | I load squad dataset. Then want to process data use following function with `Huggingface Transformers LongformerTokenizer`.
```
def convert_to_features(example):
# Tokenize contexts and questions (as pairs of inputs)
input_pairs = [example['question'], example['context']]
encodings = tokenizer.encode... | |
707,017,791 | MDU6SXNzdWU3MDcwMTc3OTE= | 664 | load_dataset from local squad.py, raise error: TypeError: 'NoneType' object is not callable | closed | completed | 2020-09-23T03:53:36 | 2023-04-17T09:31:20 | 2020-10-20T09:06:13Z | https://github.com/huggingface/datasets/issues/664 | xixiaoyao | [] | [] | [
"Hi !\r\nThanks for reporting.\r\nIt looks like no object inherits from `datasets.GeneratorBasedBuilder` (or more generally from `datasets.DatasetBuilder`) in your script.\r\n\r\nCould you check that there exist at least one dataset builder class ?",
"Hi @xixiaoyao did you manage to fix your issue ?",
"No activ... | NONE |
version: 1.0.2
```
train_dataset = datasets.load_dataset('squad')
```
The above code can works. However, when I download the squad.py from your server, and saved as `my_squad.py` to local. I run followings raise errors.
```
train_dataset = datasets.load_dataset('./my_squad.py') ... | |
706,204,383 | MDU6SXNzdWU3MDYyMDQzODM= | 657 | Squad Metric Description & Feature Mismatch | closed | completed | 2020-09-22T09:07:00 | 2020-10-13T02:16:56 | 2020-09-29T15:57:38Z | https://github.com/huggingface/datasets/issues/657 | tshrjn | [] | [] | [
"Thanks for reporting !\r\nThere indeed a mismatch between the features and the kwargs description\r\n\r\nI believe `answer_start` was added to match the squad dataset format for consistency, even though it is not used in the metric computation. I think I'd rather keep it this way, so that you can just give `refere... | NONE | The [description](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L39) doesn't mention `answer_start` in squad. However the `datasets.features` require [it](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L68). It's also not used in the evaluation. | |
705,212,034 | MDU6SXNzdWU3MDUyMTIwMzQ= | 651 | Problem with JSON dataset format | open | 2020-09-20T23:57:14 | 2020-09-21T12:14:24 | https://github.com/huggingface/datasets/issues/651 | vikigenius | [] | [] | [
"Currently the `json` dataset doesn't support this format unfortunately.\r\nHowever you could load it with\r\n```python\r\nfrom datasets import Dataset\r\nimport pandas as pd\r\n\r\ndf = pd.read_json(\"path_to_local.json\", orient=\"index\")\r\ndataset = Dataset.from_pandas(df)\r\n```",
"or you can make a custom ... | NONE | I have a local json dataset with the following form.
{
'id01234': {'key1': value1, 'key2': value2, 'key3': value3},
'id01235': {'key1': value1, 'key2': value2, 'key3': value3},
.
.
.
'id09999': {'key1': value1, 'key2': value2, 'key3': value3}
}
Note that instead of a list of records i... | |||
704,861,844 | MDU6SXNzdWU3MDQ4NjE4NDQ= | 650 | dummy data testing can't test datasets using `dl_manager.extract` in `_split_generators` | closed | completed | 2020-09-19T11:07:03 | 2020-09-22T11:54:10 | 2020-09-22T11:54:09Z | https://github.com/huggingface/datasets/issues/650 | richarddwang | [] | [] | [
"Hi :) \r\nIn your dummy data zip file you can just have `subset000.xz` as directories instead of compressed files.\r\nLet me know if it helps",
"Thanks for your comment @lhoestq ,\r\nJust for confirmation, changing dummy data like this won't make dummy test test the functionality to extract `subsetxxx.xz` but ac... | CONTRIBUTOR | Hi, I recently want to add a dataset whose source data is like this
```
openwebtext.tar.xz
|__ openwebtext
|__subset000.xz
| |__ ....txt
| |__ ....txt
| ...
|__ subset001.xz
|
....
```
So I wrote `openwebtext.py` like this
```
d... | |
704,838,415 | MDU6SXNzdWU3MDQ4Mzg0MTU= | 649 | Inconsistent behavior in map | closed | completed | 2020-09-19T08:41:12 | 2020-09-21T16:13:05 | 2020-09-21T16:13:05Z | https://github.com/huggingface/datasets/issues/649 | krandiash | [
"bug"
] | [
"lhoestq"
] | [
"Thanks for reporting !\r\n\r\nThis issue must have appeared when we refactored type inference in `nlp`\r\nBy default the library tries to keep the same feature types when applying `map` but apparently it has troubles with nested structures. I'll try to fix that next week"
] | NONE | I'm observing inconsistent behavior when applying .map(). This happens specifically when I'm incrementally adding onto a feature that is a nested dictionary. Here's a simple example that reproduces the problem.
```python
import datasets
# Dataset with a single feature called 'field' consisting of two examples
d... | |
704,753,123 | MDU6SXNzdWU3MDQ3NTMxMjM= | 648 | offset overflow when multiprocessing batched map on large datasets. | closed | completed | 2020-09-19T02:15:11 | 2025-06-17T12:56:07 | 2020-09-19T16:46:31Z | https://github.com/huggingface/datasets/issues/648 | richarddwang | [
"bug"
] | [] | [
"This should be fixed with #645 ",
"Feel free to re-open if it still occurs",
"This has just happened to me while working with a large (65GB) Parquet dataset.\n```\n[rank0]: Traceback (most recent call last):\n[rank0]: File \"/app/LLaMA-Factory/src/llamafactory/launcher.py\", line 23, in <module>\n[rank0]: ... | CONTRIBUTOR | It only happened when "multiprocessing" + "batched" + "large dataset" at the same time.
```
def bprocess(examples):
examples['len'] = []
for text in examples['text']:
examples['len'].append(len(text))
return examples
wiki.map(brpocess, batched=True, num_proc=8)
```
```
----------------------------... | |
704,734,764 | MDU6SXNzdWU3MDQ3MzQ3NjQ= | 647 | Cannot download dataset_info.json | closed | completed | 2020-09-19T01:35:15 | 2020-09-21T08:28:42 | 2020-09-21T08:28:42Z | https://github.com/huggingface/datasets/issues/647 | chiyuzhang94 | [] | [] | [
"Thanks for reporting !\r\nWe should add support for servers without internet connection indeed\r\nI'll do that early next week",
"Thanks, @lhoestq !\r\nPlease let me know when it is available. ",
"Right now the recommended way is to create the dataset on a server with internet connection and then to save it an... | NONE | I am running my job on a cloud server where does not provide for connections from the standard compute nodes to outside resources. Hence, when I use `dataset.load_dataset()` to load data, I got an error like this:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/text... | |
704,477,164 | MDU6SXNzdWU3MDQ0NzcxNjQ= | 643 | Caching processed dataset at wrong folder | closed | completed | 2020-09-18T15:41:26 | 2022-02-16T14:53:29 | 2022-02-16T14:53:29Z | https://github.com/huggingface/datasets/issues/643 | mrm8488 | [
"bug"
] | [] | [
"Thanks for reporting !\r\nIt uses a temporary file to write the data.\r\nHowever it looks like the temporary file is not placed in the right directory during the processing",
"Well actually I just tested and the temporary file is placed in the same directory, so it should work as expected.\r\nWhich version of `d... | CONTRIBUTOR | Hi guys, I run this on my Colab (PRO):
```python
from datasets import load_dataset
dataset = load_dataset('text', data_files='/content/corpus.txt', cache_dir='/content/drive/My Drive', split='train')
def encode(examples):
return tokenizer(examples['text'], truncation=True, padding='max_length')
dataset = ... | |
704,146,956 | MDU6SXNzdWU3MDQxNDY5NTY= | 638 | GLUE/QQP dataset: NonMatchingChecksumError | closed | completed | 2020-09-18T07:09:10 | 2020-09-18T11:37:07 | 2020-09-18T11:37:07Z | https://github.com/huggingface/datasets/issues/638 | richarddwang | [] | [] | [
"Hi ! Sure I'll take a look"
] | CONTRIBUTOR | Hi @lhoestq , I know you are busy and there are also other important issues. But if this is easy to be fixed, I am shamelessly wondering if you can give me some help , so I can evaluate my models and restart with my developing cycle asap. 😚
datasets version: editable install of master at 9/17
`datasets.load_data... | |
702,440,484 | MDU6SXNzdWU3MDI0NDA0ODQ= | 633 | Load large text file for LM pre-training resulting in OOM | open | 2020-09-16T04:33:15 | 2026-05-21T23:27:22 | https://github.com/huggingface/datasets/issues/633 | leethu2012 | [] | [] | [
"Not sure what could cause that on the `datasets` side. Could this be a `Trainer` issue ? cc @julien-c @sgugger ?",
"There was a memory leak issue fixed recently in master. You should install from source and see if it fixes your problem.",
"@lhoestq @sgugger Thanks for your comments. I have install from source ... | NONE | I tried to pretrain Longformer using transformers and datasets. But I got OOM issues with loading a large text file. My script is almost like this:
```python
from datasets import load_dataset
@dataclass
class DataCollatorForDatasetsLanguageModeling(DataCollatorForLanguageModeling):
"""
Data collator u... | |||
701,636,350 | MDU6SXNzdWU3MDE2MzYzNTA= | 630 | Text dataset not working with large files | closed | completed | 2020-09-15T06:02:36 | 2020-09-25T22:21:43 | 2020-09-25T22:21:43Z | https://github.com/huggingface/datasets/issues/630 | ksjae | [] | [] | [
"Seems like it works when setting ```block_size=2100000000``` or something arbitrarily large though.",
"Can you give us some stats on the data files you use as inputs?",
"Basically ~600MB txt files(UTF-8) * 59. \r\ncontents like ```안녕하세요, 이것은 예제로 한번 말해보는 텍스트입니다. 그냥 이렇다고요.<|endoftext|>\\n```\r\n\r\nAlso, it gets... | NONE | ```
Traceback (most recent call last):
File "examples/language-modeling/run_language_modeling.py", line 333, in <module>
main()
File "examples/language-modeling/run_language_modeling.py", line 262, in main
get_dataset(data_args, tokenizer=tokenizer, cache_dir=model_args.cache_dir) if training_args.do_t... | |
701,517,550 | MDU6SXNzdWU3MDE1MTc1NTA= | 629 | straddling object straddles two block boundaries | closed | completed | 2020-09-15T00:30:46 | 2020-09-15T00:36:17 | 2020-09-15T00:32:17Z | https://github.com/huggingface/datasets/issues/629 | bharaniabhishek123 | [] | [] | [
"sorry it's an apache arrow issue."
] | NONE | I am trying to read json data (it's an array with lots of dictionaries) and getting block boundaries issue as below :
I tried calling read_json with readOptions but no luck .
```
table = json.read_json(fn)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pyarrow/_json.pyx", li... | |
701,057,799 | MDU6SXNzdWU3MDEwNTc3OTk= | 625 | dtype of tensors should be preserved | closed | completed | 2020-09-14T12:38:05 | 2021-08-17T08:30:04 | 2021-08-17T08:30:04Z | https://github.com/huggingface/datasets/issues/625 | BramVanroy | [] | [] | [
"Indeed we convert tensors to list to be able to write in arrow format. Because of this conversion we lose the dtype information. We should add the dtype detection when we do type inference. However it would require a bit of refactoring since currently the conversion happens before the type inference..\r\n\r\nAnd t... | CONTRIBUTOR | After switching to `datasets` my model just broke. After a weekend of debugging, the issue was that my model could not handle the double that the Dataset provided, as it expected a float (but didn't give a warning, which seems a [PyTorch issue](https://discuss.pytorch.org/t/is-it-required-that-input-and-hidden-for-gru-... | |
700,541,628 | MDU6SXNzdWU3MDA1NDE2Mjg= | 624 | Add learningq dataset | open | 2020-09-13T10:20:27 | 2026-05-21T23:27:15 | https://github.com/huggingface/datasets/issues/624 | ghost | [
"dataset request"
] | [] | [
"Hi! Triaging older issues this week — I think this one can be closed as out-of-scope for the current `datasets` repo.\n\n- Script-based dataset loaders are no longer added to this repo. The current model is \"upload directly to the Hub\": see [`ADD_NEW_DATASET.md`](https://github.com/huggingface/datasets/blob/main... | NONE | Hi,
Thank you again for this amazing repo.
Would it be possible for y'all to add the LearningQ dataset - https://github.com/AngusGLChen/LearningQ ?
| |||
700,235,308 | MDU6SXNzdWU3MDAyMzUzMDg= | 623 | Custom feature types in `load_dataset` from CSV | closed | completed | 2020-09-12T13:21:34 | 2020-09-30T19:51:43 | 2020-09-30T08:39:54Z | https://github.com/huggingface/datasets/issues/623 | lvwerra | [
"enhancement"
] | [] | [
"Currently `csv` doesn't support the `features` attribute (unlike `json`).\r\nWhat you can do for now is cast the features using the in-place transform `cast_`\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset('csv', data_files=file_dict, delimiter=';', column_names=['text', 'label... | MEMBER | I am trying to load a local file with the `load_dataset` function and I want to predefine the feature types with the `features` argument. However, the types are always the same independent of the value of `features`.
I am working with the local files from the emotion dataset. To get the data you can use the followi... | |
700,225,826 | MDU6SXNzdWU3MDAyMjU4MjY= | 622 | load_dataset for text files not working | closed | completed | 2020-09-12T12:49:28 | 2020-10-28T11:07:31 | 2020-10-28T11:07:30Z | https://github.com/huggingface/datasets/issues/622 | BramVanroy | [
"dataset bug"
] | [
"lhoestq"
] | [
"Can you give us more information on your os and pip environments (pip list)?",
"@thomwolf Sure. I'll try downgrading to 3.7 now even though Arrow say they support >=3.5.\r\n\r\nLinux (Ubuntu 18.04) - Python 3.8\r\n======================\r\nPackage - Version\r\n---------------------\r\ncertifi 2... | CONTRIBUTOR | Trying the following snippet, I get different problems on Linux and Windows.
```python
dataset = load_dataset("text", data_files="data.txt")
# or
dataset = load_dataset("text", data_files=["data.txt"])
```
(ps [This example](https://huggingface.co/docs/datasets/loading_datasets.html#json-files) shows that ... | |
699,815,135 | MDU6SXNzdWU2OTk4MTUxMzU= | 620 | map/filter multiprocessing raises errors and corrupts datasets | closed | completed | 2020-09-11T22:30:06 | 2020-10-08T16:31:47 | 2020-10-08T16:31:46Z | https://github.com/huggingface/datasets/issues/620 | timothyjlaurent | [
"bug"
] | [
"lhoestq"
] | [
"It seems that I ran into the same problem\r\n```\r\ndef tokenize(cols, example):\r\n for in_col, out_col in cols.items():\r\n example[out_col] = hf_tokenizer.convert_tokens_to_ids(hf_tokenizer.tokenize(example[in_col]))\r\n return example\r\ncola = datasets.load_dataset('glue', 'cola')\r\ntokenized_cola = col... | NONE | After upgrading to the 1.0 started seeing errors in my data loading script after enabling multiprocessing.
```python
...
ner_ds_dict = ner_ds.train_test_split(test_size=test_pct, shuffle=True, seed=seed)
ner_ds_dict["validation"] = ner_ds_dict["test"]
rel_ds_dict = rel_ds.train_test_split(test_si... | |
699,733,612 | MDU6SXNzdWU2OTk3MzM2MTI= | 619 | Mistakes in MLQA features names | closed | completed | 2020-09-11T20:46:23 | 2020-09-16T06:59:19 | 2020-09-16T06:59:19Z | https://github.com/huggingface/datasets/issues/619 | M-Salti | [] | [] | [
"Indeed you're right ! Thanks for reporting that\r\n\r\nCould you open a PR to fix the features names ?"
] | CONTRIBUTOR | I think the following features in MLQA shouldn't be named the way they are:
1. `questions` (should be `question`)
2. `ids` (should be `id`)
3. `start` (should be `answer_start`)
The reasons I'm suggesting these features be renamed are:
* To make them consistent with other QA datasets like SQuAD, XQuAD, TyDiQA et... | |
699,472,596 | MDU6SXNzdWU2OTk0NzI1OTY= | 617 | Compare different Rouge implementations | closed | completed | 2020-09-11T15:49:32 | 2023-03-22T12:08:44 | 2020-10-02T09:52:18Z | https://github.com/huggingface/datasets/issues/617 | ibeltagy | [] | [] | [
"Updates - the differences between the following three\r\n(1) https://github.com/bheinzerling/pyrouge (previously popular. The one I trust the most)\r\n(2) https://github.com/google-research/google-research/tree/master/rouge\r\n(3) https://github.com/pltrdy/files2rouge (used in fairseq)\r\ncan be explained by two t... | NONE | I used RougeL implementation provided in `datasets` [here](https://github.com/huggingface/datasets/blob/master/metrics/rouge/rouge.py) and it gives numbers that match those reported in the pegasus paper but very different from those reported in other papers, [this](https://arxiv.org/pdf/1909.03186.pdf) for example.
Ca... | |
699,462,293 | MDU6SXNzdWU2OTk0NjIyOTM= | 616 | UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors | open | 2020-09-11T15:39:16 | 2026-05-21T23:27:08 | https://github.com/huggingface/datasets/issues/616 | BramVanroy | [] | [] | [
"I have the same issue",
"Same issue here when Trying to load a dataset from disk.",
"I am also experiencing this issue, and don't know if it's affecting my training.",
"Same here. I hope the dataset is not being modified in-place.",
"I think the only way to avoid this warning would be to do a copy of the n... | CONTRIBUTOR | I am trying out the library and want to load in pickled data with `from_dict`. In that dict, one column `text` should be tokenized and the other (an embedding vector) should be retained. All other columns should be removed. When I eventually try to set the format for the columns with `set_format` I am getting this stra... | |||
699,410,773 | MDU6SXNzdWU2OTk0MTA3NzM= | 615 | Offset overflow when slicing a big dataset with an array of indices in Pyarrow >= 1.0.0 | closed | completed | 2020-09-11T14:50:38 | 2024-05-02T06:53:15 | 2020-09-19T16:46:31Z | https://github.com/huggingface/datasets/issues/615 | lhoestq | [] | [] | [
"Related: https://issues.apache.org/jira/browse/ARROW-9773\r\n\r\nIt's definitely a size thing. I took a smaller dataset with 87000 rows and did:\r\n```\r\nfor i in range(10,1000,20):\r\n table = pa.concat_tables([dset._data]*i)\r\n table.take([0])\r\n```\r\nand it broke at around i=300.\r\n\r\nAlso when `_in... | MEMBER | How to reproduce:
```python
from datasets import load_dataset
wiki = load_dataset("wikipedia", "20200501.en", split="train")
wiki[[0]]
---------------------------------------------------------------------------
ArrowInvalid Traceback (most recent call last)
<ipython-input-13-38... | |
698,863,988 | MDU6SXNzdWU2OTg4NjM5ODg= | 611 | ArrowCapacityError: List array cannot contain more than 2147483646 child elements, have 2147483648 | closed | completed | 2020-09-11T05:29:12 | 2022-06-01T15:11:43 | 2022-06-01T15:11:43Z | https://github.com/huggingface/datasets/issues/611 | sangyx | [] | [] | [
"Can you give us stats/information on your pandas DataFrame?",
"```\r\n<class 'pandas.core.frame.DataFrame'>\r\nInt64Index: 17136104 entries, 0 to 17136103\r\nData columns (total 6 columns):\r\n # Column Dtype \r\n--- ------ ----- \r\n 0 item_id int64 \r\n 1 item_titl object \r\n... | NONE | Hi, I'm trying to load a dataset from Dataframe, but I get the error:
```bash
---------------------------------------------------------------------------
ArrowCapacityError Traceback (most recent call last)
<ipython-input-7-146b6b495963> in <module>
----> 1 dataset = Dataset.from_pandas(emb)... | |
698,349,388 | MDU6SXNzdWU2OTgzNDkzODg= | 610 | Load text file for RoBERTa pre-training. | closed | completed | 2020-09-10T18:41:38 | 2022-11-22T13:51:24 | 2022-11-22T13:51:23Z | https://github.com/huggingface/datasets/issues/610 | chiyuzhang94 | [] | [] | [
"Could you try\r\n```python\r\nload_dataset('text', data_files='test.txt',cache_dir=\"./\", split=\"train\")\r\n```\r\n?\r\n\r\n`load_dataset` returns a dictionary by default, like {\"train\": your_dataset}",
"Hi @lhoestq\r\nThanks for your suggestion.\r\n\r\nI tried \r\n```\r\ndataset = load_dataset('text', data... | NONE | I migrate my question from https://github.com/huggingface/transformers/pull/4009#issuecomment-690039444
I tried to train a Roberta from scratch using transformers. But I got OOM issues with loading a large text file.
According to the suggestion from @thomwolf , I tried to implement `datasets` to load my text file.... | |
698,291,156 | MDU6SXNzdWU2OTgyOTExNTY= | 608 | Don't use the old NYU GLUE dataset URLs | closed | completed | 2020-09-10T17:47:02 | 2020-09-16T06:53:18 | 2020-09-16T06:53:18Z | https://github.com/huggingface/datasets/issues/608 | jeswan | [] | [] | [
"Feel free to open the PR ;)\r\nThanks for updating the dataset_info.json file !"
] | CONTRIBUTOR | NYU is switching dataset hosting from Google to FB. Initial changes to `datasets` are in https://github.com/jeswan/nlp/commit/b7d4a071d432592ded971e30ef73330529de25ce. What tests do you suggest I run before opening a PR?
See: https://github.com/jiant-dev/jiant/issues/161 and https://github.com/nyu-mll/jiant/pull/111... | |
697,496,913 | MDU6SXNzdWU2OTc0OTY5MTM= | 600 | Pickling error when loading dataset | closed | completed | 2020-09-10T06:28:08 | 2020-09-25T14:31:54 | 2020-09-25T14:31:54Z | https://github.com/huggingface/datasets/issues/600 | kandorm | [] | [] | [
"When I change from python3.6 to python3.8, it works! ",
"Does it work when you install `nlp` from source on python 3.6?",
"No, still the pickling error.",
"I wasn't able to reproduce on google colab (python 3.6.9 as well) with \r\n\r\npickle==4.0\r\ndill=0.3.2\r\ntransformers==3.1.0\r\ndatasets=1.0.1 (also t... | NONE | Hi,
I modified line 136 in the original [run_language_modeling.py](https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_language_modeling.py) as:
```
# line 136: return LineByLineTextDataset(tokenizer=tokenizer, file_path=file_path, block_size=args.block_size)
dataset = load_da... | |
697,156,501 | MDU6SXNzdWU2OTcxNTY1MDE= | 598 | The current version of the package on github has an error when loading dataset | closed | completed | 2020-09-09T21:03:23 | 2020-09-10T06:25:21 | 2020-09-09T22:57:28Z | https://github.com/huggingface/datasets/issues/598 | zeyuyun1 | [] | [] | [
"Thanks for reporting !\r\nWhich version of transformers are you using ?\r\nIt looks like it doesn't have the PreTrainedTokenizerBase class",
"I was using transformer 2.9. And I switch to the latest transformer package. Everything works just fine!!\r\n\r\nThanks for helping! I should look more carefully next time... | NONE | Instead of downloading the package from pip, downloading the version from source will result in an error when loading dataset (the pip version is completely fine):
To recreate the error:
First, installing nlp directly from source:
```
git clone https://github.com/huggingface/nlp.git
cd nlp
pip install -e .
``... | |
697,112,029 | MDU6SXNzdWU2OTcxMTIwMjk= | 597 | Indices incorrect with multiprocessing | closed | completed | 2020-09-09T19:50:56 | 2020-09-10T11:03:37 | 2020-09-10T11:03:37Z | https://github.com/huggingface/datasets/issues/597 | joeddav | [] | [
"lhoestq"
] | [
"I fixed a bug that could cause this issue earlier today. Could you pull the latest version and try again ?",
"Still the case on master.\r\nI guess we should have an offset in the multi-procs indeed (hopefully it's enough).\r\n\r\nAlso, side note is that we should add some logging before the \"test\" to say we ar... | CONTRIBUTOR | When `num_proc` > 1, the indices argument passed to the map function is incorrect:
```python
d = load_dataset('imdb', split='test[:1%]')
def fn(x, inds):
print(inds)
return x
d.select(range(10)).map(fn, with_indices=True, batched=True)
# [0, 1]
# [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
d.select(range(10... |
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