UTokyo-Yokoya-Lab/tweet_sentiment_extraction_CS-MTEB

---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- config_name: test_zh_en
data_files:
- path: test_zh_en/test-*
split: test
- config_name: test_ja_en
data_files:
- path: test_ja_en/test-*
split: test
- config_name: test_de_en
data_files:
- path: test_de_en/test-*
split: test
- config_name: test_es_en
data_files:
- path: test_es_en/test-*
split: test
- config_name: test_ko_en
data_files:
- path: test_ko_en/test-*
split: test
- config_name: test_fr_en
data_files:
- path: test_fr_en/test-*
split: test
- config_name: test_it_en
data_files:
- path: test_it_en/test-*
split: test
- config_name: test_pt_en
data_files:
- path: test_pt_en/test-*
split: test
- config_name: test_nl_en
data_files:
- path: test_nl_en/test-*
split: test
dataset_info:
- config_name: default
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: train
num_examples: 26732
- name: test
num_examples: 3432
- config_name: test_zh_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_ja_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_de_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_es_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_ko_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_fr_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_it_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_pt_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
- config_name: test_nl_en
features:
- name: id
dtype: string
- name: text
dtype: string
- name: label
dtype: int64
- name: label_text
dtype: string
splits:
- name: test
num_examples: 3432
language:
- en
- zh
- ja
- de
- es
- ko
- fr
- it
- pt
- nl
multilinguality: multilingual
task_categories:
- text-classification
task_ids: []
tags:
- mteb
- text
- code-switching
- classification
- sentiment-analysis
---

# Tweet Sentiment Extraction CS-MTEB

Code-switching version of [mteb/tweet_sentiment_extraction](https://huggingface.co/datasets/mteb/tweet_sentiment_extraction), with test set sentences rewritten in Chinese-English, Japanese-English, German-English, Spanish-English, Korean-English, French-English, Italian-English, Portuguese-English, Dutch-English code-switching styles.

## Dataset Structure

**From original dataset (unchanged):**
- `default`: Original train and test splits

**Code-switching test sets:**
- `test_zh_en`: Chinese-English code-switching test set
- `test_ja_en`: Japanese-English code-switching test set
- `test_de_en`: German-English code-switching test set
- `test_es_en`: Spanish-English code-switching test set
- `test_ko_en`: Korean-English code-switching test set
- `test_fr_en`: French-English code-switching test set
- `test_it_en`: Italian-English code-switching test set
- `test_pt_en`: Portuguese-English code-switching test set
- `test_nl_en`: Dutch-English code-switching test set

## Usage

## Attribution
Based on [mteb/tweet_sentiment_extraction](https://huggingface.co/datasets/mteb/tweet_sentiment_extraction).