{"benchmark_id":"tldr9+-(test)","benchmark_name":"TLDR9+ (test)","benchmark_description":"A large-scale summarization dataset containing over 9 million training instances extracted from Reddit, designed for extreme summarization (generating one-sentence summaries with high compression and abstraction). More than twice larger than previously proposed datasets.","max_score":1.0,"categories":["language","summarization"],"modality":"text","total_models":1,"entries":[{"rank":1,"model_id":"llama-3.2-3b-instruct","model_name":"Llama 3.2 3B Instruct","organization_name":"Meta","organization_id":"meta","benchmark_score":0.19,"normalized_score":0.19,"verified":false,"self_reported":true,"provider_id":null,"input_cost_per_million":null,"output_cost_per_million":null,"speed_rps":null,"context_window":null,"release_date":"2024-09-25","announcement_date":"2024-09-25","multimodal":false,"param_count":3210000000,"is_new":false}]}