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More info:
https://ciir.cs.umass.edu/downloads/nfL6/ | {
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} | Datasets from https://github.com/microsoft/CodeXGLUE
This contains 13 datasets:
code_x_glue_cc_clone_detection_big_clone_bench
code_x_glue_cc_clone_detection_poj_104
code_x_glue_cc_cloze_testing_all
code_x_glue_cc_cloze_testing_maxmin
code_x_glue_cc_code_completion_line
code_x_glue_cc_code_completion_token
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Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.28 GiB, post-processed: Unknown size, total: 1.82 GiB) to /root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/0128610a44e10f25b4af6689441c72af86205282d26399642f7db38fa7535602...
---------------------------------------... | {
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After trying to load the dataset, I am getting the following error:
`ConnectionError: Couldn't reach https://amazon-reviews-ml.s3-us-west-2.amazonaws.com/json/train/dataset_fr_train.json
`
I used the following code to load the dataset:
`load_dataset(
dataset_name,
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More info here : http://www.macs.hw.ac.uk/InteractionLab/E2E/
### Checkbox
- [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template
- [x] Fill the `_DESCRIPTION` and `_CITATION` variables
- [x] Implement `_infos()`, `_split_generators()` and `_genera... | {
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I am dealing with large-scale datasets which I need to train distributedly, I used the shard function to divide the dataset across the cores, without any sampler, this does not work for distributed training and does not become any faster than 1 TPU core. 1) how I can make sure data is not loaded in memory 2) in cas... | {
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Added README card with tags to the best of my knowledge
Multi-target summaries or TLDRs of Scientific Documents | {
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Temporal commonsense knowledge | {
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continuing from https://github.com/huggingface/datasets/pull/954
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It was a pretty big chunk of work to figure out the structure, so I stil have tol add the description to the README.md
On the plus side the structure is broadly similar to that... | {
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} | ### OVERVIEW
Millions of open-source projects with numerous bug fixes
are available in code repositories. This proliferation
of software development histories can be leveraged to
learn how to fix common programming bugs
Code refinement aims to automatically fix bugs in the code,
which can contribute to reducing t... | {
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Reasoning over paragraph effects in situations - testing a system's ability to apply knowledge from a passage of text to a new situation. The task is framed into a reading comprehension task following squad-style extractive qa.
One thing to note: labels of the test set are hidden (leaderboard submiss... | {
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Sentence completion given a few sentences as context from a children's book. | {
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https://yonatanbisk.com/piqa/ | {
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https://github.com/chaojiang06/wiki-auto
This is also a prospective GEM task, hence the README.md | {
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- [x] Followed the instructions in CONTRIBUTING.md
- [x] Ran the tests successfully
- [x] Created the dummy data | {
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- [x] Followed the instructions in CONTRIBUTING.md
- [x] Ran the tests successfully
- [x] Created the dummy data | {
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More information can be found [here](https://webnlg-challenge.loria.fr/)
Unfortunately, the data itself comes from a pretty large number of small XML files, so the dummy data ends up being quite large (8.4 MB ... | {
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More info:
https://github.com/Websail-NU/CODAH | {
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I am dealing with multiple datasets, I need to have a dataloader over them with a condition that in each batch data samples are coming from one of the datasets. My main question is:
- I need to have a way to sample the datasets first with some weights, lets say 2x dataset1 1x dataset2, could you point me how I c... | {
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I have added the `conllu` package as a test dependency. This is required to properly parse the `.conllu` files. | {
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The prachathai-67k dataset was scraped from the news site Prachathai.
We filtered out those articles with less than 500 characters of body text, mostly images and cartoons.
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Paper: [BARThez: a Skilled Pretrained French Sequence-to-Sequence Model](https://arxiv.org/abs/2010.12321) | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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https://api.github.com/repos/huggingface/datasets/issues/939 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/939/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/939/comments | https://api.github.com/repos/huggingface/datasets/issues/939/events | https://github.com/huggingface/datasets/pull/939 | 753,965,405 | MDExOlB1bGxSZXF1ZXN0NTI5OTQwOTYz | 939 | add wisesight_sentiment | {
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} | Add `wisesight_sentiment` Social media messages in Thai language with sentiment label (positive, neutral, negative, question)
Model Card:
---
YAML tags:
annotations_creators:
- expert-generated
language_creators:
- found
languages:
- th
licenses:
- cc0-1.0
multilinguality:
- monolingual
size_categories:... | {
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https://api.github.com/repos/huggingface/datasets/issues/938 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/938/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/938/comments | https://api.github.com/repos/huggingface/datasets/issues/938/events | https://github.com/huggingface/datasets/pull/938 | 753,940,979 | MDExOlB1bGxSZXF1ZXN0NTI5OTIxNzU5 | 938 | V-1.0.0 of isizulu_ner_corpus | {
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I'm wondering if https://huggingface.co/docs/datasets/beam_dataset.html has an non-GCP or non-Dataflow version example/tutorial? I tried to migrate it to run on DirectRunner and SparkRunner, however, there were way too many runtime errors that I had to fix during the process, and even so I wasn't able to get eit... | {
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https://api.github.com/repos/huggingface/datasets/issues/935 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/935/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/935/comments | https://api.github.com/repos/huggingface/datasets/issues/935/events | https://github.com/huggingface/datasets/pull/935 | 753,863,055 | MDExOlB1bGxSZXF1ZXN0NTI5ODU5MjM4 | 935 | add PIB dataset | {
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- Webpage/leaderboard: https://inklab.usc.edu/NumerSense/
- Paper: https://arxiv.org/abs/2005.00683
- Description: NumerSense is a new numerical commonsense reasoning probing task, with a diagnostic dataset consisting of 3,145 masked-word-prediction probes. Basically, it's a benchmark to ... | {
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} | Have a string `zipfile.BadZipFile: Bad CRC-32 for file 'web_snippets_train.json'` error when downloading the largest file from dropbox: `https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AABVENv_Q9rFtnM61liyzO0La/web_snippets_train.json.zip?dl=1`
Didn't managed to see how to solve that.
Putting aside for now.
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A couple of points of attention (mostly because I am not sure)
- The training data are compressed in a .tar file inside the main tar.gz file. I had to manually un-tar the training file to access the examples.
- The dev and test splits don't have the `category` field so I put `None` by defaul... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/928... | - **Name:** Multilingual Amazon Reviews Corpus* (`amazon_reviews_multi`)
- **Description:** A collection of Amazon reviews in English, Japanese, German, French, Spanish and Chinese.
- **Paper:** https://arxiv.org/abs/2010.02573
### Checkbox
- [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` us... | {
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More info: https://github.com/wjko2/INQUISITIVE | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/924... | - **Name:** *DART*
- **Description:** *DART is a large dataset for open-domain structured data record to text generation.*
- **Paper:** *https://arxiv.org/abs/2007.02871*
- **Data:** *https://github.com/Yale-LILY/dart#leaderboard*
### Checkbox
- [x] Create the dataset script `/datasets/my_dataset/my_dataset.py... | {
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Close #773 | {
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- [x] Followed the instructions in CONTRIBUTING.md
- [x] Ran the tests successfully
- [x] Created the dummy data | {
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More details:
https://dataset.org/dream/
https://github.com/nlpdata/dream | {
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I have a MRPC dataset which I convert it to seq2seq format, then this is of this format:
`Dataset(features: {'src_texts': Value(dtype='string', id=None), 'tgt_texts': Value(dtype='string', id=None)}, num_rows: 10)
`
I feed it to a dataloader:
```
dataloader = DataLoader(
train_dataset,
... | {
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More info here : https://www.clips.uantwerpen.be/conll2002/ner/
### Checkbox
- [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template
- [x] Fill the `_DESCRIPTION` and `_CITATION` variables
- [x] Implement `_infos()`, `_split_generators()` ... | {
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https://api.github.com/repos/huggingface/datasets/issues/917 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/917/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/917/comments | https://api.github.com/repos/huggingface/datasets/issues/917/events | https://github.com/huggingface/datasets/pull/917 | 753,391,591 | MDExOlB1bGxSZXF1ZXN0NTI5NDc5MTIy | 917 | Addition of Concode Dataset | {
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Concode Dataset contains pairs of Nl Queries and the corresponding Code.(Contextual Code Generation)
Reference Links
Paper Link = https://arxiv.org/pdf/1904.09086.pdf
Github Link =https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/text-to-code | {
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This pr is trying to add a new api `list_github_datasets` in the `inspect` module. The reason for it is that the current `list_datasets` api need to access https://huggingface.co/api/datasets to get a large json. However, this connection can be rea... | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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this PR adds "A Finnish News Corpus for Named Entity Recognition" as new `finer` dataset.
The dataset is described in [this paper](https://arxiv.org/abs/1908.04212). The data is publicly available in [this GitHub](https://github.com/mpsilfve/finer-data).
Notice: they provide two testsets. The additional te... | {
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cc @albertvillanova | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/905... | Following #903 @albertvillanova noticed that there are sometimes bad usage of `os.path.join` in datasets scripts to create URLS. However this should be avoided since it doesn't work on windows.
I'm suggesting a test to make sure we that all the urls don't have backslashes in them in the datasets scripts.
The tests ... | {
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In general, `os.path.join` should be avoided to generate URLs. | {
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Fix #900 | {
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} | ## Overview
The NL2Bash data contains over 10,000 instances of linux shell commands and their corresponding natural language descriptions provided by experts, from the Tellina system. The dataset features 100+ commonly used shell utilities.
## Footnotes
The following dataset marks the first ML on source code related... | {
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