Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,26 +1,21 @@
|
|
| 1 |
-
# Parsed Annual and ESG Reports Dataset for EU Taxonomy
|
| 2 |
-
|
| 3 |
---
|
| 4 |
-
|
| 5 |
language:
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
-
|
| 11 |
-
-
|
| 12 |
-
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
-
|
| 17 |
-
- text-analysis
|
| 18 |
-
|
| 19 |
---
|
| 20 |
|
| 21 |
## Dataset Summary
|
| 22 |
|
| 23 |
-
This dataset was created as part of the Master
|
| 24 |
It contains parsed annual and sustainability reports from 190 European companies subject to EU Taxonomy reporting obligations for the fiscal year 2023. Each record includes extracted Key Performance Indicators (KPIs) and verified company-level metadata.
|
| 25 |
|
| 26 |
The dataset supports research on automated analysis of corporate sustainability disclosures, the extraction of EU Taxonomy-aligned financial KPIs, and the evaluation of large language models for compliance-related information extraction tasks.
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
language:
|
| 3 |
+
- "en"
|
| 4 |
+
pretty_name: "Parsed Annual and ESG Reports Dataset for EU Taxonomy KPI Extraction"
|
| 5 |
+
tags:
|
| 6 |
+
- finance
|
| 7 |
+
- sustainability
|
| 8 |
+
- ESG
|
| 9 |
+
- EU Taxonomy
|
| 10 |
+
license: "cc0-1.0"
|
| 11 |
+
task_categories:
|
| 12 |
+
- information-extraction
|
| 13 |
+
- text-analysis
|
|
|
|
|
|
|
| 14 |
---
|
| 15 |
|
| 16 |
## Dataset Summary
|
| 17 |
|
| 18 |
+
This dataset was created as part of the Master's thesis _Automated Analysis of Sustainability Reports: Using Large Language Models for the Extraction and Prediction of EU Taxonomy-Compliant KPIs_ (University of Innsbruck, 2025).
|
| 19 |
It contains parsed annual and sustainability reports from 190 European companies subject to EU Taxonomy reporting obligations for the fiscal year 2023. Each record includes extracted Key Performance Indicators (KPIs) and verified company-level metadata.
|
| 20 |
|
| 21 |
The dataset supports research on automated analysis of corporate sustainability disclosures, the extraction of EU Taxonomy-aligned financial KPIs, and the evaluation of large language models for compliance-related information extraction tasks.
|