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https://api.github.com/repos/huggingface/datasets/issues/831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/831/comments | https://api.github.com/repos/huggingface/datasets/issues/831/events | https://github.com/huggingface/datasets/issues/831 | 740,071,697 | MDU6SXNzdWU3NDAwNzE2OTc= | 831 | [GEM] Add WebNLG dataset | {
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] | closed | false | 0 | 2020-11-10T16:46:48Z | 2020-12-03T13:38:01Z | MEMBER | ## Adding a Dataset
- **Name:** WebNLG
- **Description:** WebNLG consists of Data/Text pairs where the data is a set of triples extracted from DBpedia and the text is a verbalisation of these triples (16,095 data inputs and 42,873 data-text pairs). The data is available in English and Russian
- **Paper:** https://ww... | {
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https://api.github.com/repos/huggingface/datasets/issues/830 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/830/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/830/comments | https://api.github.com/repos/huggingface/datasets/issues/830/events | https://github.com/huggingface/datasets/issues/830 | 740,065,376 | MDU6SXNzdWU3NDAwNjUzNzY= | 830 | [GEM] add ToTTo Table-to-text dataset | {
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] | closed | false | 1 | 2020-11-10T16:38:34Z | 2020-12-10T13:06:02Z | MEMBER | ## Adding a Dataset
- **Name:** ToTTo
- **Description:** ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.
- **Paper:** https://arxiv.o... | {
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https://api.github.com/repos/huggingface/datasets/issues/829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/829/comments | https://api.github.com/repos/huggingface/datasets/issues/829/events | https://github.com/huggingface/datasets/issues/829 | 740,061,699 | MDU6SXNzdWU3NDAwNjE2OTk= | 829 | [GEM] add Schema-Guided Dialogue | {
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] | closed | false | 0 | 2020-11-10T16:33:44Z | 2020-12-03T13:37:50Z | MEMBER | ## Adding a Dataset
- **Name:** The Schema-Guided Dialogue Dataset
- **Description:** The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant. These conversations involve interactions with services and APIs spanning 20 d... | {
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https://api.github.com/repos/huggingface/datasets/issues/828 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/828/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/828/comments | https://api.github.com/repos/huggingface/datasets/issues/828/events | https://github.com/huggingface/datasets/pull/828 | 740,008,683 | MDExOlB1bGxSZXF1ZXN0NTE4NTcwMjY3 | 828 | Add writer_batch_size attribute to GeneratorBasedBuilder | {
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https://api.github.com/repos/huggingface/datasets/issues/827 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/827/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/827/comments | https://api.github.com/repos/huggingface/datasets/issues/827/events | https://github.com/huggingface/datasets/issues/827 | 739,983,024 | MDU6SXNzdWU3Mzk5ODMwMjQ= | 827 | [GEM] MultiWOZ dialogue dataset | {
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] | closed | false | 2 | 2020-11-10T14:57:50Z | 2022-10-05T12:31:13Z | MEMBER | ## Adding a Dataset
- **Name:** MultiWOZ (Multi-Domain Wizard-of-Oz)
- **Description:** 10k annotated human-human dialogues. Each dialogue consists of a goal, multiple user and system utterances as well as a belief state. Only system utterances are annotated with dialogue acts – there are no annotations from the user... | {
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https://api.github.com/repos/huggingface/datasets/issues/826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/826/comments | https://api.github.com/repos/huggingface/datasets/issues/826/events | https://github.com/huggingface/datasets/issues/826 | 739,976,716 | MDU6SXNzdWU3Mzk5NzY3MTY= | 826 | [GEM] Add E2E dataset | {
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] | closed | false | 0 | 2020-11-10T14:50:40Z | 2020-12-03T13:37:57Z | MEMBER | ## Adding a Dataset
- **Name:** E2E NLG dataset (for End-to-end natural language generation)
- **Description:**a dataset for training end-to-end, datadriven natural language generation systems in the restaurant domain, the datasets consists of 5,751 dialogue-act Meaning Representations (structured data) and 8.1 refer... | {
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https://api.github.com/repos/huggingface/datasets/issues/825 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/825/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/825/comments | https://api.github.com/repos/huggingface/datasets/issues/825/events | https://github.com/huggingface/datasets/pull/825 | 739,925,960 | MDExOlB1bGxSZXF1ZXN0NTE4NTAyNjgx | 825 | Add accuracy, precision, recall and F1 metrics | {
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- Accuracy
- Precision
- Recall
- F1
They all uses under the hood the sklearn metrics of the same name. They allow different useful features when training a multilabel/multiclass model:
- have a macro/micro/per label/weighted/binary/per sample score
- score only t... | {
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https://api.github.com/repos/huggingface/datasets/issues/824 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/824/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/824/comments | https://api.github.com/repos/huggingface/datasets/issues/824/events | https://github.com/huggingface/datasets/issues/824 | 739,896,526 | MDU6SXNzdWU3Mzk4OTY1MjY= | 824 | Discussion using datasets in offline mode | {
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"default": fals... | closed | false | 8 | 2020-11-10T13:10:51Z | 2022-02-15T10:32:36Z | NONE | `datasets.load_dataset("csv", ...)` breaks if you have no connection (There is already this issue https://github.com/huggingface/datasets/issues/761 about it). It seems to be the same for metrics too.
I create this ticket to discuss a bit and gather what you have in mind or other propositions.
Here are some point... | {
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https://api.github.com/repos/huggingface/datasets/issues/823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/823/comments | https://api.github.com/repos/huggingface/datasets/issues/823/events | https://github.com/huggingface/datasets/issues/823 | 739,815,763 | MDU6SXNzdWU3Mzk4MTU3NjM= | 823 | how processing in batch works in datasets | {
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] | closed | false | 3 | 2020-11-10T11:11:17Z | 2020-11-10T13:11:10Z | NONE | Hi,
I need to process my datasets before it is passed to dataloader in batch,
here is my codes
```
class AbstractTask(ABC):
task_name: str = NotImplemented
preprocessor: Callable = NotImplemented
split_to_data_split: Mapping[str, str] = NotImplemented
tokenizer: Callable = NotImplemented
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https://api.github.com/repos/huggingface/datasets/issues/822 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/822/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/822/comments | https://api.github.com/repos/huggingface/datasets/issues/822/events | https://github.com/huggingface/datasets/issues/822 | 739,579,314 | MDU6SXNzdWU3Mzk1NzkzMTQ= | 822 | datasets freezes | {
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] | open | false | 1 | 2020-11-10T05:10:19Z | 2020-11-12T23:23:03Z | NONE | Hi, I want to load these two datasets and convert them to Dataset format in torch and the code freezes for me, could you have a look please? thanks
dataset1 = load_dataset("squad", split="train[:10]")
dataset1 = dataset1.set_format(type='torch', columns=['context', 'answers', 'question'])
dataset2 = load_datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/821/comments | https://api.github.com/repos/huggingface/datasets/issues/821/events | https://github.com/huggingface/datasets/issues/821 | 739,506,859 | MDU6SXNzdWU3Mzk1MDY4NTk= | 821 | `kor_nli` dataset doesn't being loaded properly | {
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1. csv.DictReader failed to split features by tab
- Should not exist `None` value in label feature, but there it is.
```python
kor_nli_train['train'].unique('gold_label')
# ['neutral', 'entailment', 'contradiction', None]
```
-... | {
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https://api.github.com/repos/huggingface/datasets/issues/820 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/820/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/820/comments | https://api.github.com/repos/huggingface/datasets/issues/820/events | https://github.com/huggingface/datasets/pull/820 | 739,387,617 | MDExOlB1bGxSZXF1ZXN0NTE4MDYwMjQ0 | 820 | Update quail dataset to v1.3 | {
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https://api.github.com/repos/huggingface/datasets/issues/819 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/819/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/819/comments | https://api.github.com/repos/huggingface/datasets/issues/819/events | https://github.com/huggingface/datasets/pull/819 | 739,250,624 | MDExOlB1bGxSZXF1ZXN0NTE3OTQ2MjYy | 819 | Make save function use deterministic global vars order | {
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However in #816 I noticed that one of dill's method to recursively check the globals of a function may return the globals in different orders each time it's used. To fix that I sort the globals by key in the `globs` dictionary.
I had to add a re... | {
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https://api.github.com/repos/huggingface/datasets/issues/818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/818/comments | https://api.github.com/repos/huggingface/datasets/issues/818/events | https://github.com/huggingface/datasets/pull/818 | 739,173,861 | MDExOlB1bGxSZXF1ZXN0NTE3ODgzMzk0 | 818 | Fix type hints pickling in python 3.6 | {
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However Cloupickle proposed a [fix](https://github.com/cloudpipe/cloudpickle/pull/318/files) to make it work anyway.
The idea is just to implement the pickling/unpickling of parame... | {
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https://api.github.com/repos/huggingface/datasets/issues/817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/817/comments | https://api.github.com/repos/huggingface/datasets/issues/817/events | https://github.com/huggingface/datasets/issues/817 | 739,145,369 | MDU6SXNzdWU3MzkxNDUzNjk= | 817 | Add MRQA dataset | {
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] | closed | false | 1 | 2020-11-09T15:52:19Z | 2020-12-04T15:44:42Z | MEMBER | ## Adding a Dataset
- **Name:** MRQA
- **Description:** Collection of different (subsets of) QA datasets all converted to the same format to evaluate out-of-domain generalization (the datasets come from different domains, distributions, etc.). Some datasets are used for training and others are used for evaluation. Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/816/comments | https://api.github.com/repos/huggingface/datasets/issues/816/events | https://github.com/huggingface/datasets/issues/816 | 739,102,686 | MDU6SXNzdWU3MzkxMDI2ODY= | 816 | [Caching] Dill globalvars() output order is not deterministic and can cause cache issues. | {
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To fix that one could register an implementati... | {
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https://api.github.com/repos/huggingface/datasets/issues/815 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/815/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/815/comments | https://api.github.com/repos/huggingface/datasets/issues/815/events | https://github.com/huggingface/datasets/issues/815 | 738,842,092 | MDU6SXNzdWU3Mzg4NDIwOTI= | 815 | Is dataset iterative or not? | {
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] | closed | false | 8 | 2020-11-09T09:11:48Z | 2020-11-10T10:50:03Z | NONE | Hi
I want to use your library for large-scale training, I am not sure if this is implemented as iterative datasets or not?
could you provide me with example how I can use datasets as iterative datasets?
thanks | {
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] | closed | false | 1 | 2020-11-08T16:19:30Z | 2020-11-08T19:38:48Z | 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 | {
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] | closed | false | 4 | 2020-11-08T15:27:11Z | 2022-10-05T12:54:23Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/812/comments | https://api.github.com/repos/huggingface/datasets/issues/812/events | https://github.com/huggingface/datasets/issues/812 | 738,340,217 | MDU6SXNzdWU3MzgzNDAyMTc= | 812 | Too much logging | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/811/comments | https://api.github.com/repos/huggingface/datasets/issues/811/events | https://github.com/huggingface/datasets/issues/811 | 738,280,132 | MDU6SXNzdWU3MzgyODAxMzI= | 811 | nlp viewer error | {
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when I select amazon_us_reviews in nlp viewer, it shows error.
https://huggingface.co/nlp/viewer/?dataset=amazon_us_reviews
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https://api.github.com/repos/huggingface/datasets/issues/810 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/810/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/810/comments | https://api.github.com/repos/huggingface/datasets/issues/810/events | https://github.com/huggingface/datasets/pull/810 | 737,878,370 | MDExOlB1bGxSZXF1ZXN0NTE2ODQzMzQ3 | 810 | Fix seqeval metric | {
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```
~/.cache/huggingface/modules/datasets_modules/metrics/seqeval/78a944d83252b5a16c9a2e49f057f4c6e02f18cc03349257025a8c9aea6524d8/seqeval.py in _compute(self, predictions, references, suffix)
102 scores = {}
103 for type_... | {
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https://api.github.com/repos/huggingface/datasets/issues/809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/809/comments | https://api.github.com/repos/huggingface/datasets/issues/809/events | https://github.com/huggingface/datasets/issues/809 | 737,832,701 | MDU6SXNzdWU3Mzc4MzI3MDE= | 809 | Add Google Taskmaster dataset | {
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] | closed | false | 2 | 2020-11-06T15:10:41Z | 2021-04-20T13:09:26Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/808 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/808/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/808/comments | https://api.github.com/repos/huggingface/datasets/issues/808/events | https://github.com/huggingface/datasets/pull/808 | 737,638,942 | MDExOlB1bGxSZXF1ZXN0NTE2NjQ0NDc0 | 808 | dataset(dgs): initial dataset loading script | {
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> Dataset datasets with config None seems to already open files in the method `_split_generators(...)`. You might consider to instead only open files in the method `_generate_examples(...)` instead. If this is not possible the dummy data has t o be created with less guidance. ... | {
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https://api.github.com/repos/huggingface/datasets/issues/807 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/807/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/807/comments | https://api.github.com/repos/huggingface/datasets/issues/807/events | https://github.com/huggingface/datasets/issues/807 | 737,509,954 | MDU6SXNzdWU3Mzc1MDk5NTQ= | 807 | load_dataset for LOCAL CSV files report CONNECTION ERROR | {
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- **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... | {
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https://api.github.com/repos/huggingface/datasets/issues/806 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/806/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/806/comments | https://api.github.com/repos/huggingface/datasets/issues/806/events | https://github.com/huggingface/datasets/issues/806 | 737,215,430 | MDU6SXNzdWU3MzcyMTU0MzA= | 806 | Quail dataset urls are out of date | {
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```
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/805 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/805/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/805/comments | https://api.github.com/repos/huggingface/datasets/issues/805/events | https://github.com/huggingface/datasets/issues/805 | 737,019,360 | MDU6SXNzdWU3MzcwMTkzNjA= | 805 | On loading a metric from datasets, I get the following error | {
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`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. | {
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https://api.github.com/repos/huggingface/datasets/issues/804 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/804/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/804/comments | https://api.github.com/repos/huggingface/datasets/issues/804/events | https://github.com/huggingface/datasets/issues/804 | 736,858,507 | MDU6SXNzdWU3MzY4NTg1MDc= | 804 | Empty output/answer in TriviaQA test set (both in 'kilt_tasks' and 'trivia_qa') | {
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"gists_url"... | [] | closed | false | 3 | 2020-11-05T11:38:01Z | 2020-11-09T14:14:59Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/803 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/803/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/803/comments | https://api.github.com/repos/huggingface/datasets/issues/803/events | https://github.com/huggingface/datasets/pull/803 | 736,818,917 | MDExOlB1bGxSZXF1ZXN0NTE1OTY1ODE2 | 803 | fix: typos in tutorial to map KILT and TriviaQA | {
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https://api.github.com/repos/huggingface/datasets/issues/802 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/802/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/802/comments | https://api.github.com/repos/huggingface/datasets/issues/802/events | https://github.com/huggingface/datasets/pull/802 | 736,296,343 | MDExOlB1bGxSZXF1ZXN0NTE1NTM1MDI0 | 802 | Add XGlue | {
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"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_use... | [] | closed | false | 1 | 2020-11-04T17:29:54Z | 2022-04-28T08:15:36Z | MEMBER | Dataset is ready to merge. An important feature of this dataset is that for each config the train data is in English, while dev and test data are in multiple languages. Therefore, @lhoestq and I decided offline that we will give the dataset the following API, *e.g.* for
```python
load_dataset("xglue", "ner") # wo... | {
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https://api.github.com/repos/huggingface/datasets/issues/801 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/801/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/801/comments | https://api.github.com/repos/huggingface/datasets/issues/801/events | https://github.com/huggingface/datasets/issues/801 | 735,790,876 | MDU6SXNzdWU3MzU3OTA4NzY= | 801 | How to join two datasets? | {
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"g... | [] | closed | false | 3 | 2020-11-04T03:53:11Z | 2020-12-23T14:02:58Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/800 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/800/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/800/comments | https://api.github.com/repos/huggingface/datasets/issues/800/events | https://github.com/huggingface/datasets/pull/800 | 735,772,775 | MDExOlB1bGxSZXF1ZXN0NTE1MTAyMjc3 | 800 | Update loading_metrics.rst | {
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https://api.github.com/repos/huggingface/datasets/issues/799 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/799/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/799/comments | https://api.github.com/repos/huggingface/datasets/issues/799/events | https://github.com/huggingface/datasets/pull/799 | 735,551,165 | MDExOlB1bGxSZXF1ZXN0NTE0OTIzNDMx | 799 | switch amazon reviews class label order | {
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] | closed | false | 9 | 2020-11-03T17:45:22Z | 2022-02-14T15:34:22Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/797/comments | https://api.github.com/repos/huggingface/datasets/issues/797/events | https://github.com/huggingface/datasets/issues/797 | 735,420,332 | MDU6SXNzdWU3MzU0MjAzMzI= | 797 | Token classification labels are strings and we don't have the list of labels | {
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"default": fals... | closed | false | 4 | 2020-11-03T15:33:30Z | 2022-02-14T15:41:54Z | MEMBER | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/795 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/795/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/795/comments | https://api.github.com/repos/huggingface/datasets/issues/795/events | https://github.com/huggingface/datasets/issues/795 | 735,198,265 | MDU6SXNzdWU3MzUxOTgyNjU= | 795 | Descriptions of raw and processed versions of wikitext are inverted | {
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] | closed | false | 2 | 2020-11-03T10:24:51Z | 2022-02-14T15:46:21Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/794 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/794/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/794/comments | https://api.github.com/repos/huggingface/datasets/issues/794/events | https://github.com/huggingface/datasets/issues/794 | 735,158,725 | MDU6SXNzdWU3MzUxNTg3MjU= | 794 | self.options cannot be converted to a Python object for pickling | {
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] | closed | false | 1 | 2020-11-03T09:27:34Z | 2020-11-19T17:35:38Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/793 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/793/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/793/comments | https://api.github.com/repos/huggingface/datasets/issues/793/events | https://github.com/huggingface/datasets/pull/793 | 735,105,907 | MDExOlB1bGxSZXF1ZXN0NTE0NTU2NzY5 | 793 | [Datasets] fix discofuse links | {
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"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_use... | [] | closed | false | 0 | 2020-11-03T08:03:45Z | 2020-11-03T08:16:41Z | MEMBER | The discofuse links were changed: https://github.com/google-research-datasets/discofuse/commit/d27641016eb5b3eb2af03c7415cfbb2cbebe8558.
The old links are broken
I changed the links and created the new dataset_infos.json.
Pinging @thomwolf @lhoestq for notification. | {
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https://api.github.com/repos/huggingface/datasets/issues/792 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/792/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/792/comments | https://api.github.com/repos/huggingface/datasets/issues/792/events | https://github.com/huggingface/datasets/issues/792 | 734,693,652 | MDU6SXNzdWU3MzQ2OTM2NTI= | 792 | KILT dataset: empty string in triviaqa input field | {
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"gists_url"... | [] | closed | false | 1 | 2020-11-02T17:33:54Z | 2020-11-05T10:34:59Z | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/791 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/791/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/791/comments | https://api.github.com/repos/huggingface/datasets/issues/791/events | https://github.com/huggingface/datasets/pull/791 | 734,656,518 | MDExOlB1bGxSZXF1ZXN0NTE0MTg0MzU5 | 791 | add amazon reviews | {
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https://api.github.com/repos/huggingface/datasets/issues/790 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/790/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/790/comments | https://api.github.com/repos/huggingface/datasets/issues/790/events | https://github.com/huggingface/datasets/issues/790 | 734,470,197 | MDU6SXNzdWU3MzQ0NzAxOTc= | 790 | Error running pip install -e ".[dev]" on MacOS 10.13.6: faiss/python does not exist | {
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```sh
git clone https://github.com/huggingface/datasets
cd datasets
virtualenv venv -p python3 --system-site-packages
source venv/bin/activate
pip install -e ".... | {
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https://api.github.com/repos/huggingface/datasets/issues/789 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/789/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/789/comments | https://api.github.com/repos/huggingface/datasets/issues/789/events | https://github.com/huggingface/datasets/pull/789 | 734,237,839 | MDExOlB1bGxSZXF1ZXN0NTEzODM1MzE0 | 789 | dataset(ncslgr): add initial loading script | {
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https://www.bu.edu/asllrp/ncslgr.html
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https://api.github.com/repos/huggingface/datasets/issues/788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/788/comments | https://api.github.com/repos/huggingface/datasets/issues/788/events | https://github.com/huggingface/datasets/issues/788 | 734,136,124 | MDU6SXNzdWU3MzQxMzYxMjQ= | 788 | failed to reuse cache | {
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https://api.github.com/repos/huggingface/datasets/issues/787 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/787/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/787/comments | https://api.github.com/repos/huggingface/datasets/issues/787/events | https://github.com/huggingface/datasets/pull/787 | 734,070,162 | MDExOlB1bGxSZXF1ZXN0NTEzNjk5MTQz | 787 | Adding nli_tr dataset | {
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"gists_url": "https:/... | [] | closed | false | 1 | 2020-11-01T21:49:44Z | 2020-11-12T19:06:02Z | CONTRIBUTOR | Hello,
In this pull request, we have implemented the necessary interface to add our recent dataset [NLI-TR](https://github.com/boun-tabi/NLI-TR). The datasets will be presented on a full paper at EMNLP 2020 this month. [[arXiv link] ](https://arxiv.org/pdf/2004.14963.pdf)
The dataset is the neural machine transl... | {
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https://api.github.com/repos/huggingface/datasets/issues/786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/786/comments | https://api.github.com/repos/huggingface/datasets/issues/786/events | https://github.com/huggingface/datasets/issues/786 | 733,761,717 | MDU6SXNzdWU3MzM3NjE3MTc= | 786 | feat(dataset): multiprocessing _generate_examples | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/785/comments | https://api.github.com/repos/huggingface/datasets/issues/785/events | https://github.com/huggingface/datasets/pull/785 | 733,719,419 | MDExOlB1bGxSZXF1ZXN0NTEzNDMyNTM1 | 785 | feat(aslg_pc12): add dev and test data splits | {
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The original paper author did not define splits for the entire dataset, not for the sample loaded via this library, so I decided to define:
- 5/7th for train
- 1/7th for dev
- 1/7th for test
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https://api.github.com/repos/huggingface/datasets/issues/784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/784/comments | https://api.github.com/repos/huggingface/datasets/issues/784/events | https://github.com/huggingface/datasets/issues/784 | 733,700,463 | MDU6SXNzdWU3MzM3MDA0NjM= | 784 | Issue with downloading Wikipedia data for low resource language | {
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```
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/783/comments | https://api.github.com/repos/huggingface/datasets/issues/783/events | https://github.com/huggingface/datasets/pull/783 | 733,536,254 | MDExOlB1bGxSZXF1ZXN0NTEzMzAwODUz | 783 | updated links to v1.3 of quail, fixed the description | {
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https://api.github.com/repos/huggingface/datasets/issues/782 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/782/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/782/comments | https://api.github.com/repos/huggingface/datasets/issues/782/events | https://github.com/huggingface/datasets/pull/782 | 733,316,463 | MDExOlB1bGxSZXF1ZXN0NTEzMTE2MTM0 | 782 | Fix metric deletion when attribuets are missing | {
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I just added `if hasattr(...)` to make sure it doesn't crash | {
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https://api.github.com/repos/huggingface/datasets/issues/781 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/781/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/781/comments | https://api.github.com/repos/huggingface/datasets/issues/781/events | https://github.com/huggingface/datasets/pull/781 | 733,168,609 | MDExOlB1bGxSZXF1ZXN0NTEyOTkyMzQw | 781 | Add XNLI train set | {
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Now you can load the dataset specifying one language:
```python
from datasets import load_dataset
xnli_en = load_dataset("xnli", "en")
print(xnli_en["train"][0])
# {'hypothesis': 'Product and geography are what make cream skimming work .', 'label':... | {
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https://api.github.com/repos/huggingface/datasets/issues/780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/780/comments | https://api.github.com/repos/huggingface/datasets/issues/780/events | https://github.com/huggingface/datasets/pull/780 | 732,738,647 | MDExOlB1bGxSZXF1ZXN0NTEyNjM0MzI0 | 780 | Add ASNQ dataset | {
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The dataset is authored by Siddhant Garg, Thuy Vu and Alessandro Mosch... | {
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https://api.github.com/repos/huggingface/datasets/issues/777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/777/comments | https://api.github.com/repos/huggingface/datasets/issues/777/events | https://github.com/huggingface/datasets/pull/777 | 732,376,648 | MDExOlB1bGxSZXF1ZXN0NTEyMzI2ODM2 | 777 | Better error message for uninitialized metric | {
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Fix #729 | {
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Now any split name is allowed.
I did the same for `json`, `pandas` and `csv`
Fix #735 | {
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There is because of one test that make sure that using two possibly incompatible metric computation (same exp id) either works or raises the right error.
However if the error is raised, all the processes of the metric are killed, and the open files (arrow + loc... | {
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- **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... | {
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The tests didn't cover the case of providing `cache_dir=` for metrics because of a stupid issue (it was not using the right parameter).
I remove the double concatenation and I fixed the tests
Fix #728 | {
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https://api.github.com/repos/huggingface/datasets/issues/771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/771/comments | https://api.github.com/repos/huggingface/datasets/issues/771/events | https://github.com/huggingface/datasets/issues/771 | 731,482,213 | MDU6SXNzdWU3MzE0ODIyMTM= | 771 | Using `Dataset.map` with `n_proc>1` print multiple progress bars | {
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https://api.github.com/repos/huggingface/datasets/issues/770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/770/comments | https://api.github.com/repos/huggingface/datasets/issues/770/events | https://github.com/huggingface/datasets/pull/770 | 731,445,222 | MDExOlB1bGxSZXF1ZXN0NTExNTQ5MTg1 | 770 | Fix custom builder caching | {
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To fix that, the cache directory name now has a suffix that depends on all of them.
Fix #730
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https://api.github.com/repos/huggingface/datasets/issues/769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/769/comments | https://api.github.com/repos/huggingface/datasets/issues/769/events | https://github.com/huggingface/datasets/issues/769 | 731,257,104 | MDU6SXNzdWU3MzEyNTcxMDQ= | 769 | How to choose proper download_mode in function load_dataset? | {
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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... | {
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] | open | false | 1 | 2020-10-27T22:33:03Z | 2020-10-28T08:58:13Z | MEMBER | 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... | {
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] | open | false | 1 | 2020-10-27T19:59:44Z | 2020-11-10T14:05:21Z | 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... | {
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] | closed | false | 2 | 2020-10-27T17:34:04Z | 2020-12-03T13:37:18Z | 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.
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] | closed | false | 0 | 2020-10-27T17:32:23Z | 2020-10-27T17:34:21Z | MEMBER | ## Adding a Dataset
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https://api.github.com/repos/huggingface/datasets/issues/763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/763/comments | https://api.github.com/repos/huggingface/datasets/issues/763/events | https://github.com/huggingface/datasets/pull/763 | 730,593,631 | MDExOlB1bGxSZXF1ZXN0NTEwODcyMDYx | 763 | Fixed errors in bertscore related to custom baseline | {
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https://api.github.com/repos/huggingface/datasets/issues/762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/762/comments | https://api.github.com/repos/huggingface/datasets/issues/762/events | https://github.com/huggingface/datasets/issues/762 | 730,586,972 | MDU6SXNzdWU3MzA1ODY5NzI= | 762 | [GEM] Add Czech Restaurant data-to-text generation dataset | {
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] | closed | false | 0 | 2020-10-27T16:00:47Z | 2020-12-03T13:37:44Z | 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/761/comments | https://api.github.com/repos/huggingface/datasets/issues/761/events | https://github.com/huggingface/datasets/issues/761 | 729,898,867 | MDU6SXNzdWU3Mjk4OTg4Njc= | 761 | Downloaded datasets are not usable offline | {
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Is this the intended behavior ?
(Sorry, I wrote the the first version of this issue while still on nlp 0.3.0). | {
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https://api.github.com/repos/huggingface/datasets/issues/760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/760/comments | https://api.github.com/repos/huggingface/datasets/issues/760/events | https://github.com/huggingface/datasets/issues/760 | 729,637,917 | MDU6SXNzdWU3Mjk2Mzc5MTc= | 760 | Add meta-data to the HANS dataset | {
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"defa... | closed | false | 0 | 2020-10-26T14:56:53Z | 2020-12-03T13:38:34Z | 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. | {
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https://api.github.com/repos/huggingface/datasets/issues/759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/759/comments | https://api.github.com/repos/huggingface/datasets/issues/759/events | https://github.com/huggingface/datasets/issues/759 | 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 | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/758/comments | https://api.github.com/repos/huggingface/datasets/issues/758/events | https://github.com/huggingface/datasets/issues/758 | 728,638,559 | MDU6SXNzdWU3Mjg2Mzg1NTk= | 758 | Process 0 very slow when using num_procs with map to tokenizer | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/757/comments | https://api.github.com/repos/huggingface/datasets/issues/757/events | https://github.com/huggingface/datasets/issues/757 | 728,241,494 | MDU6SXNzdWU3MjgyNDE0OTQ= | 757 | CUDA out of memory | {
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however, without changing any other element/parameter,just switch dataset to `LineByLineTextDataset`,everything becames OK.
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https://api.github.com/repos/huggingface/datasets/issues/756 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/756/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/756/comments | https://api.github.com/repos/huggingface/datasets/issues/756/events | https://github.com/huggingface/datasets/pull/756 | 728,211,373 | MDExOlB1bGxSZXF1ZXN0NTA4OTYwNTc3 | 756 | Start community-provided dataset docs | {
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#### Old description
This is what I did to get the pseudo-labels updated. Not sure if it generalizes, but I figured I would write it down. It was pretty easy because all I had to do was make properly formatted directories and change URLs.
In slack @thomwolf called it a user-... | {
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https://api.github.com/repos/huggingface/datasets/issues/754 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/754/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/754/comments | https://api.github.com/repos/huggingface/datasets/issues/754/events | https://github.com/huggingface/datasets/pull/754 | 727,863,105 | MDExOlB1bGxSZXF1ZXN0NTA4NjczNzM2 | 754 | Use full released xsum dataset | {
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Code based on parser from older version of `datasets/xsum/xsum.py`
@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/753 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/753/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/753/comments | https://api.github.com/repos/huggingface/datasets/issues/753/events | https://github.com/huggingface/datasets/pull/753 | 727,434,935 | MDExOlB1bGxSZXF1ZXN0NTA4MzI4ODM0 | 753 | Fix doc links to viewer | {
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https://api.github.com/repos/huggingface/datasets/issues/752 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/752/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/752/comments | https://api.github.com/repos/huggingface/datasets/issues/752/events | https://github.com/huggingface/datasets/issues/752 | 726,917,801 | MDU6SXNzdWU3MjY5MTc4MDE= | 752 | Clicking on a metric in the search page points to datasets page giving "Missing dataset" warning | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/751 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/751/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/751/comments | https://api.github.com/repos/huggingface/datasets/issues/751/events | https://github.com/huggingface/datasets/issues/751 | 726,820,191 | MDU6SXNzdWU3MjY4MjAxOTE= | 751 | Error loading ms_marco v2.1 using load_dataset() | {
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`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... | {
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https://api.github.com/repos/huggingface/datasets/issues/750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/750/comments | https://api.github.com/repos/huggingface/datasets/issues/750/events | https://github.com/huggingface/datasets/issues/750 | 726,589,446 | MDU6SXNzdWU3MjY1ODk0NDY= | 750 | load_dataset doesn't include `features` in its hash | {
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Example: some models on the hub have a different ordering for the labels t... | {
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https://api.github.com/repos/huggingface/datasets/issues/749 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/749/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/749/comments | https://api.github.com/repos/huggingface/datasets/issues/749/events | https://github.com/huggingface/datasets/issues/749 | 726,366,062 | MDU6SXNzdWU3MjYzNjYwNjI= | 749 | [XGLUE] Adding new dataset | {
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] | closed | false | 15 | 2020-10-21T10:51:36Z | 2022-09-30T11:35:30Z | MEMBER | 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/748 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/748/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/748/comments | https://api.github.com/repos/huggingface/datasets/issues/748/events | https://github.com/huggingface/datasets/pull/748 | 726,196,589 | MDExOlB1bGxSZXF1ZXN0NTA3MzAyNjE3 | 748 | New version of CompGuessWhat?! with refined annotations | {
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https://api.github.com/repos/huggingface/datasets/issues/747 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/747/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/747/comments | https://api.github.com/repos/huggingface/datasets/issues/747/events | https://github.com/huggingface/datasets/pull/747 | 725,884,704 | MDExOlB1bGxSZXF1ZXN0NTA3MDQ3MDE4 | 747 | Add Quail question answering dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/746 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/746/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/746/comments | https://api.github.com/repos/huggingface/datasets/issues/746/events | https://github.com/huggingface/datasets/pull/746 | 725,627,235 | MDExOlB1bGxSZXF1ZXN0NTA2ODMzNDMw | 746 | dataset(ngt): add ngt dataset initial loading script | {
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This is the first accessible way to download this dataset, which is not manual file-by-file.
Only downloading the necessary files, the annotation files are very small, 20MB for all of them, but the video files are large, 100GB i... | {
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https://api.github.com/repos/huggingface/datasets/issues/745 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/745/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/745/comments | https://api.github.com/repos/huggingface/datasets/issues/745/events | https://github.com/huggingface/datasets/pull/745 | 725,589,352 | MDExOlB1bGxSZXF1ZXN0NTA2ODAxMTI0 | 745 | Fix emotion description | {
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I also took the liberty to make use of `ClassLabel` for the emotion labels. | {
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https://api.github.com/repos/huggingface/datasets/issues/744 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/744/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/744/comments | https://api.github.com/repos/huggingface/datasets/issues/744/events | https://github.com/huggingface/datasets/issues/744 | 724,918,448 | MDU6SXNzdWU3MjQ5MTg0NDg= | 744 | Dataset Explorer Doesn't Work for squad_es and squad_it | {
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https://huggingface.co/nlp/viewer/?dataset=squad_it
Both pages show "OSError: [Errno 28] No space left on device". | {
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https://api.github.com/repos/huggingface/datasets/issues/743 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/743/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/743/comments | https://api.github.com/repos/huggingface/datasets/issues/743/events | https://github.com/huggingface/datasets/issues/743 | 724,703,980 | MDU6SXNzdWU3MjQ3MDM5ODA= | 743 | load_dataset for CSV files not working | {
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`
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:
`
...
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https://api.github.com/repos/huggingface/datasets/issues/742 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/742/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/742/comments | https://api.github.com/repos/huggingface/datasets/issues/742/events | https://github.com/huggingface/datasets/pull/742 | 724,509,974 | MDExOlB1bGxSZXF1ZXN0NTA1ODgzNjI3 | 742 | Add OCNLI, a new CLUE dataset | {
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Chinese Natural Language Inference, collected following closely the procedures of MNLI,
but with enhanced strategies aiming for more challenging inference pairs. We want to
emphasize we did not use hu... | {
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https://api.github.com/repos/huggingface/datasets/issues/741 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/741/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/741/comments | https://api.github.com/repos/huggingface/datasets/issues/741/events | https://github.com/huggingface/datasets/issues/741 | 723,924,275 | MDU6SXNzdWU3MjM5MjQyNzU= | 741 | Creating dataset consumes too much memory | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/740/comments | https://api.github.com/repos/huggingface/datasets/issues/740/events | https://github.com/huggingface/datasets/pull/740 | 723,047,958 | MDExOlB1bGxSZXF1ZXN0NTA0NzAyNTc0 | 740 | Fix TREC urls | {
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I updated the urls to the new ones, since we don't support redirections for downloads.
Fix #737 | {
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https://api.github.com/repos/huggingface/datasets/issues/739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/739/comments | https://api.github.com/repos/huggingface/datasets/issues/739/events | https://github.com/huggingface/datasets/pull/739 | 723,044,066 | MDExOlB1bGxSZXF1ZXN0NTA0Njk5NTY3 | 739 | Add wiki dpr multiset embeddings | {
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Previously only the embeddings from the encoder trained on NQ were available. I'm adding the ones from the encoder trained on the multiset/hybrid dataset.
In the configuration you can now specify `embeddings_nam... | {
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https://api.github.com/repos/huggingface/datasets/issues/738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/738/comments | https://api.github.com/repos/huggingface/datasets/issues/738/events | https://github.com/huggingface/datasets/pull/738 | 723,033,923 | MDExOlB1bGxSZXF1ZXN0NTA0NjkxNjM4 | 738 | Replace seqeval code with original classification_report for simplicity | {
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This PR replaces the current code with the original function(`classification_report`) to simplify it.
Also, the original code has been updated to fix #352.
- Related issue: https://github.com/chakki-works/seq... | {
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https://api.github.com/repos/huggingface/datasets/issues/737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/737/comments | https://api.github.com/repos/huggingface/datasets/issues/737/events | https://github.com/huggingface/datasets/issues/737 | 722,463,923 | MDU6SXNzdWU3MjI0NjM5MjM= | 737 | Trec Dataset Connection Error | {
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"gists_url": "... | [] | closed | false | 1 | 2020-10-15T15:57:53Z | 2020-10-19T08:54:36Z | 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/... | {
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https://api.github.com/repos/huggingface/datasets/issues/736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/736/comments | https://api.github.com/repos/huggingface/datasets/issues/736/events | https://github.com/huggingface/datasets/pull/736 | 722,348,191 | MDExOlB1bGxSZXF1ZXN0NTA0MTE0MjMy | 736 | Start community-provided dataset docs | {
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+ In slack @thomwolf called it a `user-namespace` dataset, but the docs call it `community dataset`... | {
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https://api.github.com/repos/huggingface/datasets/issues/735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/735/comments | https://api.github.com/repos/huggingface/datasets/issues/735/events | https://github.com/huggingface/datasets/issues/735 | 722,225,270 | MDU6SXNzdWU3MjIyMjUyNzA= | 735 | Throw error when an unexpected key is used in data_files | {
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"gists_url":... | [] | closed | false | 1 | 2020-10-15T10:55:27Z | 2020-10-30T13:23:52Z | 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 =... | {
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https://api.github.com/repos/huggingface/datasets/issues/734 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/734/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/734/comments | https://api.github.com/repos/huggingface/datasets/issues/734/events | https://github.com/huggingface/datasets/pull/734 | 721,767,848 | MDExOlB1bGxSZXF1ZXN0NTAzNjMwMDcz | 734 | Fix GLUE metric description | {
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https://api.github.com/repos/huggingface/datasets/issues/733 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/733/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/733/comments | https://api.github.com/repos/huggingface/datasets/issues/733/events | https://github.com/huggingface/datasets/pull/733 | 721,366,744 | MDExOlB1bGxSZXF1ZXN0NTAzMjk2NDQw | 733 | Update link to dataset viewer | {
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https://api.github.com/repos/huggingface/datasets/issues/732 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/732/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/732/comments | https://api.github.com/repos/huggingface/datasets/issues/732/events | https://github.com/huggingface/datasets/pull/732 | 721,359,448 | MDExOlB1bGxSZXF1ZXN0NTAzMjkwMjEy | 732 | dataset(wlasl): initial loading script | {
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https://api.github.com/repos/huggingface/datasets/issues/731 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/731/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/731/comments | https://api.github.com/repos/huggingface/datasets/issues/731/events | https://github.com/huggingface/datasets/pull/731 | 721,142,985 | MDExOlB1bGxSZXF1ZXN0NTAzMTExNzc4 | 731 | dataset(aslg_pc12): initial loading script | {
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The rest of the corpus is not yet been made public, but this sample is still being used by researchers. | {
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