File size: 4,484 Bytes
6d32203 02adb80 6d32203 e1f5daa 02adb80 e1f5daa 02adb80 e1f5daa 6d32203 fd4ec6b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 |
---
dataset_info:
features:
- name: text
dtype: string
- name: tweet_id
dtype: string
- name: user_id
dtype: string
splits:
- name: train
num_bytes: 41994430875
num_examples: 305011917
- name: test
num_bytes: 865592487
num_examples: 6224733
download_size: 26603606845
dataset_size: 42860023362
---
# Dataset Card for "spanish-tweets"
---
annotations_creators:
- no-annotation
language:
- '''es'
- en'
language_creators:
- other
license: []
multilinguality:
- multilingual
pretty_name: spanish-tweets
size_categories:
- 100M<n<1B
source_datasets:
- original
tags:
- language-modeling
task_categories:
- fill-mask
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage**: https://github.com/pysentimiento/robertuito
- **Paper**: [RoBERTuito: a pre-trained language model for social media text in Spanish](https://aclanthology.org/2022.lrec-1.785/)
- **Leaderboard:**
- **Point of Contact:** jmperez (at) dc.uba.ar
### Dataset Summary
A big dataset of Spanish tweets* for pre-training language models (or other representations).
* in fact, it contains a small fraction of English, Portuguese, and other related languages
### Supported Tasks and Leaderboards
Language Modeling
### Languages
Mostly Spanish, but some Portuguese, English, and other languages.
## Dataset Structure
### Data Fields
- *tweet_id*: id of the tweet
- *user_id*: id of the user
- *text*: text from the tweet
## Dataset Creation
The full process of data collection is described in the paper. Here we roughly outline the main points:
- A Spritzer collection uploaded to Archive.org dating from May 2019 was downloaded
- From this, we only kept tweets with language metadata equal to Spanish, and mark the users who posted these messages.
- Then, the tweetline from each of these marked users was downloaded.
- In total, the collection consists of around 622M tweets from around 432K users.
-
### Citation Information
```
@inproceedings{perez-etal-2022-robertuito,
title = "{R}o{BERT}uito: a pre-trained language model for social media text in {S}panish",
author = "P{\'e}rez, Juan Manuel and
Furman, Dami{\'a}n Ariel and
Alonso Alemany, Laura and
Luque, Franco M.",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.785",
pages = "7235--7243",
abstract = "Since BERT appeared, Transformer language models and transfer learning have become state-of-the-art for natural language processing tasks. Recently, some works geared towards pre-training specially-crafted models for particular domains, such as scientific papers, medical documents, user-generated texts, among others. These domain-specific models have been shown to improve performance significantly in most tasks; however, for languages other than English, such models are not widely available. In this work, we present RoBERTuito, a pre-trained language model for user-generated text in Spanish, trained on over 500 million tweets. Experiments on a benchmark of tasks involving user-generated text showed that RoBERTuito outperformed other pre-trained language models in Spanish. In addition to this, our model has some cross-lingual abilities, achieving top results for English-Spanish tasks of the Linguistic Code-Switching Evaluation benchmark (LinCE) and also competitive performance against monolingual models in English Twitter tasks. To facilitate further research, we make RoBERTuito publicly available at the HuggingFace model hub together with the dataset used to pre-train it.",
}
```
### Contributions
Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
|