SemEvalWorkshop/sem_eval_2014_task_1

---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-ImageFlickr and SemEval-2012 STS MSR-Video Descriptions
task_categories:
- text-classification
task_ids:
- text-scoring
- natural-language-inference
- semantic-similarity-scoring
pretty_name: SemEval 2014 - Task 1
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': NEUTRAL
'1': ENTAILMENT
'2': CONTRADICTION
splits:
- name: train
num_bytes: 540296
num_examples: 4500
- name: test
num_bytes: 592320
num_examples: 4927
- name: validation
num_bytes: 60981
num_examples: 500
download_size: 197230
dataset_size: 1193597
---

# Dataset Card for SemEval 2014 - Task 1

## Table of Contents
- [Dataset Description](#dataset-description)
- [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)
- [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:** [SemEval-2014 Task 1](https://alt.qcri.org/semeval2014/task1/)
- **Repository:**
- **Paper:** [Aclweb](https://www.aclweb.org/anthology/S14-2001/)
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## 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

[More Information Needed]

### Contributions

Thanks to [@ashmeet13](https://github.com/ashmeet13) for adding this dataset.

原始信息汇总

数据集卡片：SemEval 2014 - Task 1

数据集描述

数据集概述

• annotations_creators: 众包
• language_creators: 专家生成
• language: 英语
• license: CC BY 4.0
• multilinguality: 单语
• size_categories: 1K<n<10K
• source_datasets: 扩展自ImageFlickr和SemEval-2012 STS MSR-Video Descriptions
• task_categories: 文本分类
• task_ids:
  • 文本评分
  • 自然语言推理
  • 语义相似度评分
• pretty_name: SemEval 2014 - Task 1

数据集结构

数据字段

• sentence_pair_id: 整数类型
• premise: 字符串类型
• hypothesis: 字符串类型
• relatedness_score: 浮点类型
• entailment_judgment: 分类标签类型，包含以下类别：
  • 0: NEUTRAL
  • 1: ENTAILMENT
  • 2: CONTRADICTION

数据分割

• train:
  • 字节数: 540296
  • 样本数: 4500
• test:
  • 字节数: 592320
  • 样本数: 4927
• validation:
  • 字节数: 60981
  • 样本数: 500

数据集大小

• download_size: 197230
• dataset_size: 1193597