TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments

# TMNRED Dataset - Chinese Natural Reading EEG for Fuzzy Semantic Target Identification

## Overview
This dataset, named TMNRED, consists of electroencephalogram (EEG) recordings obtained from 30 participants engaged in natural reading tasks. The aim is to investigate the mechanisms of semantic processing in the Chinese language within a natural reading environment.

## Data Collection
- Participants: 30 healthy, right-handed individuals (average age: 22.07 years, standard deviation: 2.7 years; 18 females, 12 males) who are native Chinese speakers.
- Materials: Text ranging from 15 to 20 characters, presented as news headlines or short sentences. Materials include target semantic items and non-target semantic items.
- Procedure: Participants read sentences displayed on a screen at their own pace. Each participant completed 8 blocks of 400 trials in total, with each trial lasting approximately 2.2 seconds, including a fixation cross and inter-stimulus intervals.

## Data Structure
The dataset is organized according to the BIDS standard:
- Main Folder:
- `dataset_description.json`: Description of the dataset.
- `participants.tsv`: Participant information.
- `participants.json`: Details of columns in `participants.tsv`.
- `README`: General information about the dataset.
- `data_all.mat`: Labeled EEG data of all subjects in MAT format.
- Derivative Data:
- `final_bids/`: EEG data stored in JSON, TSV, and EDF formats.
- `preproc/`: Preprocessed data, including subfolders for each subject (`sub-01`, etc.), with data in various formats (BDF, SET, FDT, ERP, MAT).

## Technical Validation
Sensor-level EEG analyses were performed, showing distinct responses to target and non-target words at different time points, with notable changes in potential distribution across the scalp.

## Distribution
The raw and preprocessed EEG data are openly available online at https://github.com/tym5049/TMNRED_Dataset under the Creative Commons Attribution 4.0 International Public License (https://creativecommons.org/licenses/by/4.0/).

## Usage Notes
- Researchers should cite the dataset appropriately when using it.
- For any questions or issues, please refer to the `README` file or contact the corresponding authors: Yanru Bai (yr56 [e-mail]), Guangjian Ni ([e-mail]).

## Acknowledgments
This work was mainly supported by the National Key R&D Program of China (2023YFF1203503) and the National Natural Science Foundation of China (82202290). We also thank all research assistants who provided general support in participant recruiting and data collection.

# TMNRED数据集：用于模糊语义目标识别的汉语自然阅读脑电数据集

## 概述
本数据集命名为TMNRED，收录了30名参与自然阅读任务的被试的脑电图（Electroencephalogram，EEG）记录，旨在探究自然阅读环境下汉语语义加工的神经机制。

## 数据采集
- 被试：30名健康右利手的汉语母语者，平均年龄22.07岁，标准差2.7岁，其中女性18名，男性12名。
- 实验材料：长度为15至20个汉字的文本，以新闻标题或短句形式呈现，包含语义目标项与语义非目标项。
- 实验流程：被试自行掌控阅读速度，阅读屏幕上呈现的句子。每名被试共完成8个实验块，每个实验块包含400个试次，每个试次时长约2.2秒，包含注视十字与刺激间隔时段。

## 数据结构
数据集按照脑成像数据结构（Brain Imaging Data Structure，BIDS）标准进行组织：
- 主文件夹：
- `dataset_description.json`：数据集描述文件
- `participants.tsv`：被试信息文件
- `participants.json`：`participants.tsv` 文件列字段详情
- `README`：数据集通用说明文件
- `data_all.mat`：所有被试的标注脑电数据，格式为MAT
- 衍生数据：
- `final_bids/`：以JSON、TSV及EDF格式存储的脑电数据
- `preproc/`：预处理数据，包含每个被试的子文件夹（如`sub-01`等），数据格式包括BDF、SET、FDT、ERP、MAT。

## 技术验证
我们开展了传感器级脑电分析，结果显示在不同时间节点上，被试对语义目标词与非目标词存在显著不同的脑电响应，且头皮电位分布存在明显变化。

## 数据集发布
原始脑电与预处理脑电数据已在开源平台公开，访问地址为https://github.com/tym5049/TMNRED_Dataset，采用知识共享署名4.0国际公共许可协议（https://creativecommons.org/licenses/by/4.0/）进行授权。

## 使用说明
- 研究者在使用本数据集时，需进行恰当的引用。
- 若有任何疑问或问题，请参阅`README`文件，或联系通讯作者：Yanru Bai（yr56 [e-mail]）、Guangjian Ni（[e-mail]）。

## 致谢
本研究主要得到中国国家重点研发计划（2023YFF1203503）与国家自然科学基金（82202290）的资助。同时感谢所有在被试招募与数据收集过程中提供协助的研究助理。

搜集汇总

背景与挑战

背景概述

TMNRED是一个包含30名参与者EEG记录的中文自然阅读数据集，旨在研究中文语义处理机制。数据集按照BIDS标准组织，包含原始和预处理数据，适用于模糊语义目标识别研究。