Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
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  ### Dataset Summary
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- We introduce an expert-annotated dataset for classifying the TCFD recommendation categories ([fsb-tcfd.org](https://www.fsb-tcfd.org)) of climate-related paragraphs in corporate disclosures.
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  ### Supported Tasks and Leaderboards
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- The dataset supports a multiclass classification task of climate-related paragraphs into the four TCFD recommendation categories (governance, strategy, risk management, metrics and targets) and the non-climate-related class.
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  ### Languages
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  ### Data Fields
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- - text: a climate-related paragraph extracted from corporate annual reports and sustainability reports
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  - label: the label (0 -> none (i.e., not climate-related), 1 -> metrics, 2 -> strategy, 3 -> risk, 4 -> governance)
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  ### Data Splits
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  #### Initial Data Collection and Normalization
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- Our dataset contains climate-related paragraphs extracted from financial disclosures by firms. We collect text from corporate annual reports and sustainability reports.
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  For more information regarding our sample selection, please refer to the Appendix of our paper (see [citation](#citation-information)).
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  ### Dataset Summary
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+ We introduce an expert-annotated dataset for classifying the TCFD recommendation categories ([fsb-tcfd.org](https://www.fsb-tcfd.org)) of paragraphs in corporate disclosures.
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  ### Supported Tasks and Leaderboards
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+ The dataset supports a multiclass classification task of paragraphs into the four TCFD recommendation categories (governance, strategy, risk management, metrics and targets) and the non-climate-related class.
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  ### Languages
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  ### Data Fields
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+ - text: a paragraph extracted from corporate annual reports and sustainability reports
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  - label: the label (0 -> none (i.e., not climate-related), 1 -> metrics, 2 -> strategy, 3 -> risk, 4 -> governance)
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  ### Data Splits
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  #### Initial Data Collection and Normalization
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+ Our dataset contains paragraphs extracted from financial disclosures by firms. We collect text from corporate annual reports and sustainability reports.
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  For more information regarding our sample selection, please refer to the Appendix of our paper (see [citation](#citation-information)).
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