ai4data/datause-extraction
Token Classification • Updated
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This dataset contains the canonical, layout-aware evaluation benchmark (holdout_v10) used to test data-use extraction models.
The holdout dataset consists of 1,149 prose-only paragraphs extracted from UNHCR and World Bank documents. All tables, page headers, footers, and non-prose elements have been filtered out to evaluate the model's accuracy on natural language text.
test (1,149 records): The complete canonical holdout evaluation set.Each record has two fields:
input: The raw text paragraph containing potential data mentions.output: entities: Dictionaries containing lists of span strings extracted for three categories:named_data: Proper name of a dataset (e.g. National Education Outcomes Registry (NEOR)).descriptive_data: Described data source (e.g. school enrolment and retention indicators).vague_data: General data references (e.g. monitoring data).entity_descriptions: Definitions for the three categories.The 1,149 records are exhaustively sourced from the following documents: