|
--- |
|
annotations_creators: |
|
- expert-generated |
|
language_creators: |
|
- found |
|
language: |
|
- pt |
|
license: |
|
- unknown |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 1K<n<10K |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- text-classification |
|
task_ids: |
|
- text-scoring |
|
- natural-language-inference |
|
- semantic-similarity-scoring |
|
paperswithcode_id: assin2 |
|
pretty_name: ASSIN 2 |
|
dataset_info: |
|
features: |
|
- name: sentence_pair_id |
|
dtype: int64 |
|
- name: premise |
|
dtype: string |
|
- name: hypothesis |
|
dtype: string |
|
- name: relatedness_score |
|
dtype: float32 |
|
- name: entailment_judgment |
|
dtype: |
|
class_label: |
|
names: |
|
'0': NONE |
|
'1': ENTAILMENT |
|
splits: |
|
- name: train |
|
num_bytes: 863995 |
|
num_examples: 6500 |
|
- name: test |
|
num_bytes: 339266 |
|
num_examples: 2448 |
|
- name: validation |
|
num_bytes: 66824 |
|
num_examples: 500 |
|
download_size: 566733 |
|
dataset_size: 1270085 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
- split: validation |
|
path: data/validation-* |
|
--- |
|
|
|
# Dataset Card for ASSIN 2 |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
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- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** [ASSIN 2 homepage](https://sites.google.com/view/assin2) |
|
- **Repository:** [ASSIN 2 repository](https://sites.google.com/view/assin2) |
|
- **Paper:** [The ASSIN 2 shared task: a quick overview](https://drive.google.com/file/d/1ft1VU6xiVm-N58dfAp6FHWjQ4IvcXgqp/view) |
|
- **Point of Contact:** [Livy Real](mailto:[email protected]) |
|
|
|
### Dataset Summary |
|
|
|
The ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1. |
|
The training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese, |
|
annotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment |
|
classes are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same |
|
annotation. All data were manually annotated. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed] |
|
|
|
### Languages |
|
|
|
The language supported is Portuguese. |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
An example from the ASSIN 2 dataset looks as follows: |
|
|
|
``` |
|
{ |
|
"entailment_judgment": 1, |
|
"hypothesis": "Uma criança está segurando uma pistola de água", |
|
"premise": "Uma criança risonha está segurando uma pistola de água e sendo espirrada com água", |
|
"relatedness_score": 4.5, |
|
"sentence_pair_id": 1 |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
- `sentence_pair_id`: a `int64` feature. |
|
- `premise`: a `string` feature. |
|
- `hypothesis`: a `string` feature. |
|
- `relatedness_score`: a `float32` feature. |
|
- `entailment_judgment`: a classification label, with possible values including `NONE`, `ENTAILMENT`. |
|
|
|
### Data Splits |
|
|
|
The data is split into train, validation and test set. The split sizes are as follow: |
|
|
|
| Train | Val | Test | |
|
| ------ | ----- | ---- | |
|
| 6500 | 500 | 2448 | |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed] |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the source language producers? |
|
|
|
[More Information Needed] |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed] |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed] |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed] |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed] |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed] |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[More Information Needed] |
|
|
|
### Licensing Information |
|
|
|
[More Information Needed] |
|
|
|
### Citation Information |
|
|
|
``` |
|
@inproceedings{real2020assin, |
|
title={The assin 2 shared task: a quick overview}, |
|
author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Goncalo}, |
|
booktitle={International Conference on Computational Processing of the Portuguese Language}, |
|
pages={406--412}, |
|
year={2020}, |
|
organization={Springer} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@jonatasgrosman](https://github.com/jonatasgrosman) for adding this dataset. |