DART
TextsUnknown
DART is a large dataset for open-domain structured data record to text generation. DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.
Source: DART: Open-Domain Structured Data Record to Text Generation
Benchmarks
Data-to-Text Generation/BLEUData-to-Text Generation/METEORData-to-Text Generation/FactSpotterTable-to-Text Generation/METEORTable-to-Text Generation/BLEUTable-to-Text Generation/BERTTable-to-Text Generation/BLEURTTable-to-Text Generation/MoverTable-to-Text Generation/TERTable-to-Text Generation/FactSpotterText Generation/BLEUText Generation/METEORText Generation/FactSpotterText Generation/BERTText Generation/BLEURTText Generation/MoverText Generation/TER