Data · dataset · 2025
CSR Report Sentences and Additional Datasets
Listed in Teesside University Research Data Repository
Corporate Social Responsibility (CSR) Dataset: This dataset comprises 21,782 distinct sentences extracted from sustainability reports of 100 publicly listed companies across 26 diverse industry sectors.
Description
The data was collected from 2024 CSR disclosure documents, with comprehensive metadata including source identifiers, company information, industry sector, and page numbers to enable thematic pattern analysis of corporate sustainability communication strategies.
Yahoo Answers Dataset: This community-driven dataset contains question-answer pairs from two knowledge-intensive domains - "Science & Mathematics" and "Computers & Internet" categories. The researchers extracted 2,000 balanced instances from the original dataset of 140,000 training and 6,000 testing samples per category, focusing on content with overlapping vocabularies but distinct conceptual boundaries relevant to technical support and knowledge management systems.
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IMDB Movie Review Dataset: This sentiment analysis dataset consists of 50,000 movie reviews equally distributed between positive and negative sentiment categories, from which 2,000 instances were extracted through balanced stratified sampling. The dataset represents emotionally-charged textual content with colloquial language patterns, designed to validate opinion mining applications requiring sophisticated analysis of subjective narrative text containing complex emotional nuances and evaluative language.
Links
Where it is published
- DOI doi.org/10.17632/kpd3d3gv45.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/kpd3d3gv45.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |