BABSA: A Large Scale Bangla Aspect Based Sentiment Analysis Dataset

BABSA (Bangla Aspect-Based Sentiment Analysis) is a large-scale, manually annotated dataset for fine-grained aspect-level sentiment analysis in Bangla. The dataset contains 15,860 quality-controlled instances spanning 21 domains, including book reviews, product reviews, news, politics, and social commentary.

Dataset Files:

final_set.csv – Primary release file containing 15,860 manually annotated instances after quality control and filtering.

total.csv – Complete collection of 24,653 instances prior to filtering, provided for transparency and reproducibility.

Schema of final_set.csv:
(Column, Description) : [ (text_content, Full Bangla text (review, comment, or news excerpt) ,
(AnnotatedAspect : Comma separated list of Aspect term or phrase extracted from the text ),
(AnnotatedSentiment: Comma separated Sentiment polarity (positive, neutral, or negative)) ,
(MacroCategory : Domain/topic category (one of 21 predefined categories) )
]

Schema of total.csv:
(Column, Description) : [ (text_content, Full Bangla text (review, comment, or news excerpt) ,
(AnnotatedAspect : Comma separated list of Aspect term or phrase extracted from the text ),
(AnnotatedSentiment: Comma separated list of Sentiment polarity (positive, neutral, or negative))
]

Text content was aggregated from four publicly available Bangla NLP corpora (BanglaBook, SentNoB, EmoNoBa, Sazzed) and a web-scraped Bangla news corpus (January–June 2025). All aspect-level annotations (aspect terms, boundaries, and sentiment labels) are original contributions created through a three-pass manual annotation protocol, achieving inter-annotator agreement of Cohen's κ ≥ 0.84.

BABSA（孟加拉语基于方面的情感分析，Bangla Aspect-Based Sentiment Analysis）是一款大规模人工标注的孟加拉语细粒度方面级情感分析数据集。该数据集包含15860条经过质量管控的标注样本，覆盖21个领域，涵盖图书评论、商品评论、新闻、政治及社会评论等场景。

数据集文件：
final_set.csv：本次正式发布的主文件，包含经质量管控与筛选后的15860条人工标注样本。
total.csv：筛选前的全部24653条样本集合，用于保障研究的透明性与可复现性。

final_set.csv字段结构：
（字段名，字段说明）：[
(text_content，完整孟加拉语文本，涵盖评论、留言或新闻节选),
(AnnotatedAspect，从文本中提取的方面词或短语列表，以逗号分隔),
(AnnotatedSentiment，情感极性列表，以逗号分隔，取值包括积极、中性与消极),
(MacroCategory，领域/主题类别，属于21个预定义类别之一)
]

total.csv字段结构：
（字段名，字段说明）：[
(text_content，完整孟加拉语文本，涵盖评论、留言或新闻节选),
(AnnotatedAspect，从文本中提取的方面词或短语列表，以逗号分隔),
(AnnotatedSentiment，情感极性列表，以逗号分隔，取值包括积极、中性与消极)
]

文本数据源自四个公开可用的孟加拉语自然语言处理语料库（BanglaBook、SentNoB、EmoNoBa、Sazzed）以及一个2025年1月至6月的网络爬取孟加拉语新闻语料库。所有方面级标注（包括方面词、边界与情感标签）均为原创成果，采用三轮人工标注流程完成，标注者间一致性达到科恩κ系数（Cohen's κ）≥0.84。