five

tytodd/qwen3.5-2b-v2-instructions-smoke-10k

收藏
Hugging Face2026-04-21 更新2026-04-26 收录
下载链接:
https://hf-mirror.com/datasets/tytodd/qwen3.5-2b-v2-instructions-smoke-10k
下载链接
链接失效反馈
官方服务:
资源简介:
--- dataset_info: - config_name: aes2_essay_scoring features: - name: input struct: - name: full_text dtype: string - name: prediction struct: - name: score dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 7674595 num_examples: 100 - name: val num_bytes: 8997845 num_examples: 100 download_size: 13953734 dataset_size: 16672440 - config_name: anli_r1 features: - name: input struct: - name: hypothesis dtype: string - name: premise dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2689102 num_examples: 100 - name: val num_bytes: 2993379 num_examples: 100 download_size: 5631317 dataset_size: 5682481 - config_name: anli_r2 features: - name: input struct: - name: hypothesis dtype: string - name: premise dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2842760 num_examples: 100 - name: val num_bytes: 4309746 num_examples: 100 download_size: 6508605 dataset_size: 7152506 - config_name: anli_r3 features: - name: input struct: - name: hypothesis dtype: string - name: premise dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3549414 num_examples: 100 - name: val num_bytes: 3348075 num_examples: 100 download_size: 6804929 dataset_size: 6897489 - config_name: arc_challenge features: - name: input struct: - name: choices dtype: string - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 1874037 num_examples: 100 download_size: 1819875 dataset_size: 1874037 - config_name: argument_quality_ranking features: - name: input struct: - name: argument dtype: string - name: topic dtype: string - name: prediction struct: - name: quality_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 2382442 num_examples: 100 download_size: 2341251 dataset_size: 2382442 - config_name: big_patent_innovation features: - name: input struct: - name: description dtype: string - name: prediction struct: - name: innovation_score dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3183511 num_examples: 100 - name: val num_bytes: 6164448 num_examples: 100 download_size: 8346234 dataset_size: 9347959 - config_name: boardgame_qa features: - name: input struct: - name: question dtype: string - name: prediction struct: - name: answer dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 4512282 num_examples: 100 - name: val num_bytes: 4869644 num_examples: 100 download_size: 9164348 dataset_size: 9381926 - config_name: chatbot_arena_conversations features: - name: input struct: - name: question dtype: string - name: response_A dtype: string - name: response_B dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 4690027 num_examples: 100 - name: val num_bytes: 5781284 num_examples: 100 download_size: 8464087 dataset_size: 10471311 - config_name: civil_comments features: - name: input struct: - name: comment dtype: string - name: prediction struct: - name: toxicity_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2234241 num_examples: 100 - name: val num_bytes: 2429092 num_examples: 100 download_size: 4645727 dataset_size: 4663333 - config_name: code_judge_bench features: - name: input struct: - name: code_A dtype: string - name: code_B dtype: string - name: problem dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 18976776 num_examples: 100 download_size: 15035853 dataset_size: 18976776 - config_name: colbert_humor_detection features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: humor_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2081242 num_examples: 100 - name: val num_bytes: 2119166 num_examples: 100 download_size: 4180008 dataset_size: 4200408 - config_name: customer_support_tickets_en features: - name: input struct: - name: body dtype: string - name: subject dtype: string - name: prediction struct: - name: queue dtype: string - name: type dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3827342 num_examples: 100 - name: val num_bytes: 3777509 num_examples: 100 download_size: 7574558 dataset_size: 7604851 - config_name: customer_support_tickets_gorkem features: - name: input struct: - name: ticket_text dtype: string - name: prediction struct: - name: ticket_subject dtype: string - name: ticket_type dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 5750200 num_examples: 100 - name: val num_bytes: 3933406 num_examples: 100 download_size: 9592300 dataset_size: 9683606 - config_name: dbpedia_easy features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: l1_class dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2509225 num_examples: 100 - name: val num_bytes: 2493828 num_examples: 100 download_size: 4967980 dataset_size: 5003053 - config_name: dbpedia_hard features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: l1_class dtype: string - name: l2_class dtype: string - name: l3_class dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 5268953 num_examples: 100 - name: val num_bytes: 3814853 num_examples: 100 download_size: 8658082 dataset_size: 9083806 - config_name: dbpedia_medium features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: l1_class dtype: string - name: l2_class dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 4426902 num_examples: 100 - name: val num_bytes: 3432780 num_examples: 100 download_size: 7829364 dataset_size: 7859682 - config_name: enron_email_quality features: - name: input struct: - name: body dtype: string - name: subject dtype: string - name: prediction struct: - name: quality_score dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 7792455 num_examples: 100 - name: val num_bytes: 4166537 num_examples: 100 download_size: 7487245 dataset_size: 11958992 - config_name: enron_email_type features: - name: input struct: - name: body dtype: string - name: subject dtype: string - name: prediction struct: - name: email_type dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 7011915 num_examples: 100 - name: val num_bytes: 9624771 num_examples: 100 download_size: 12007693 dataset_size: 16636686 - config_name: enron_reply_quality features: - name: input struct: - name: original_email dtype: string - name: reply dtype: string - name: prediction struct: - name: quality dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 11660143 num_examples: 100 - name: val num_bytes: 10347401 num_examples: 100 download_size: 14251754 dataset_size: 22007544 - config_name: go_emotions features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: labels list: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 407136 num_examples: 100 - name: val num_bytes: 388148 num_examples: 100 download_size: 811990 dataset_size: 795284 - config_name: gpqa_diamond features: - name: input struct: - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 6418255 num_examples: 100 download_size: 5484248 dataset_size: 6418255 - config_name: halueval_dialogue features: - name: input struct: - name: dialogue_history dtype: string - name: knowledge dtype: string - name: response dtype: string - name: prediction struct: - name: hallucination dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3241485 num_examples: 100 - name: val num_bytes: 4594332 num_examples: 100 download_size: 7162286 dataset_size: 7835817 - config_name: halueval_qa features: - name: input struct: - name: answer dtype: string - name: knowledge dtype: string - name: question dtype: string - name: prediction struct: - name: hallucination dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3796661 num_examples: 100 - name: val num_bytes: 4031643 num_examples: 100 download_size: 7172528 dataset_size: 7828304 - config_name: halueval_summarization features: - name: input struct: - name: document dtype: string - name: summary dtype: string - name: prediction struct: - name: hallucination dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 4560376 num_examples: 100 download_size: 4072244 dataset_size: 4560376 - config_name: hh_rlhf features: - name: input struct: - name: question dtype: string - name: response_A dtype: string - name: response_B dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 4507099 num_examples: 100 - name: val num_bytes: 5025776 num_examples: 100 download_size: 8106272 dataset_size: 9532875 - config_name: judge_bench features: - name: input struct: - name: question dtype: string - name: response_A dtype: string - name: response_B dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 6019688 num_examples: 100 download_size: 5441888 dataset_size: 6019688 - config_name: lex_glue_case_hold features: - name: input struct: - name: context dtype: string - name: option_a dtype: string - name: option_b dtype: string - name: option_c dtype: string - name: option_d dtype: string - name: option_e dtype: string - name: prediction struct: - name: selected_option dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 4515218 num_examples: 100 - name: val num_bytes: 5323856 num_examples: 100 download_size: 8779070 dataset_size: 9839074 - config_name: lex_glue_ledgar features: - name: input struct: - name: provision_text dtype: string - name: prediction struct: - name: provision_type dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3486578 num_examples: 100 - name: val num_bytes: 3382567 num_examples: 100 download_size: 6839691 dataset_size: 6869145 - config_name: medical_abstracts features: - name: input struct: - name: medical_abstract dtype: string - name: prediction struct: - name: condition_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3414493 num_examples: 100 - name: val num_bytes: 3400689 num_examples: 100 download_size: 6786876 dataset_size: 6815182 - config_name: mfrc features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: annotation dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2710715 num_examples: 100 - name: val num_bytes: 2562696 num_examples: 100 download_size: 5224960 dataset_size: 5273411 - config_name: mmlu features: - name: input struct: - name: choices dtype: string - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 4322825 num_examples: 100 - name: val num_bytes: 4010137 num_examples: 100 download_size: 8239519 dataset_size: 8332962 - config_name: mmlu_pro features: - name: input struct: - name: choices dtype: string - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 3561156 num_examples: 100 download_size: 3500742 dataset_size: 3561156 - config_name: mt_bench_human_judgments features: - name: input struct: - name: question dtype: string - name: response_A dtype: string - name: response_B dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 3491982 num_examples: 100 download_size: 3426522 dataset_size: 3491982 - config_name: musr_murder_mysteries features: - name: input struct: - name: choices dtype: string - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 12043261 num_examples: 100 download_size: 8312806 dataset_size: 12043261 - config_name: musr_object_placements features: - name: input struct: - name: choices dtype: string - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 4069139 num_examples: 100 download_size: 4010437 dataset_size: 4069139 - config_name: musr_team_allocation features: - name: input struct: - name: choices dtype: string - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 4698879 num_examples: 100 download_size: 4603591 dataset_size: 4698879 - config_name: or_bench_80k features: - name: input struct: - name: prompt dtype: string - name: prediction struct: - name: or_bench_category dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3556582 num_examples: 100 - name: val num_bytes: 4377296 num_examples: 100 download_size: 7875773 dataset_size: 7933878 - config_name: or_bench_hard_1k features: - name: input struct: - name: prompt dtype: string - name: prediction struct: - name: or_bench_category dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3593121 num_examples: 100 - name: val num_bytes: 6230251 num_examples: 100 download_size: 8360776 dataset_size: 9823372 - config_name: or_bench_toxic features: - name: input struct: - name: prompt dtype: string - name: prediction struct: - name: or_bench_category dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 2105975 num_examples: 100 download_size: 2056204 dataset_size: 2105975 - config_name: projudgebench features: - name: input struct: - name: correct_answer dtype: string - name: question dtype: string - name: step_to_evaluate dtype: string - name: steps list: string - name: prediction struct: - name: correct dtype: bool - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 5192258 num_examples: 100 - name: val num_bytes: 5551965 num_examples: 100 download_size: 10706018 dataset_size: 10744223 - config_name: reward_bench_2 features: - name: input struct: - name: prompt dtype: string - name: response_A dtype: string - name: response_B dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 9386751 num_examples: 100 - name: val num_bytes: 4982365 num_examples: 100 download_size: 11856339 dataset_size: 14369116 - config_name: rod101_essay_scoring features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: score dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: ood num_bytes: 9716460 num_examples: 100 download_size: 6879387 dataset_size: 9716460 - config_name: sem_eval_2010_task_8 features: - name: input struct: - name: sentence dtype: string - name: prediction struct: - name: relation_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 4012558 num_examples: 100 - name: val num_bytes: 5463046 num_examples: 100 download_size: 8898067 dataset_size: 9475604 - config_name: smollm_corpus features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: audience dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 5833121 num_examples: 100 - name: val num_bytes: 3806181 num_examples: 100 download_size: 8671905 dataset_size: 9639302 - config_name: snli features: - name: input struct: - name: hypothesis dtype: string - name: premise dtype: string - name: prediction struct: - name: label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2362523 num_examples: 100 - name: val num_bytes: 2571094 num_examples: 100 download_size: 4877265 dataset_size: 4933617 - config_name: spartqa_mchoice features: - name: input struct: - name: choices dtype: string - name: question dtype: string - name: prediction struct: - name: choice dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 6385672 num_examples: 100 - name: val num_bytes: 6555973 num_examples: 100 download_size: 12665503 dataset_size: 12941645 - config_name: toxigen_data features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: toxicity_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2100204 num_examples: 100 - name: val num_bytes: 2567171 num_examples: 100 download_size: 4488084 dataset_size: 4667375 - config_name: tweet_eval_emotion features: - name: input struct: - name: tweet dtype: string - name: prediction struct: - name: emotion_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2461021 num_examples: 100 - name: val num_bytes: 2526331 num_examples: 100 download_size: 4976727 dataset_size: 4987352 - config_name: tweet_eval_hate features: - name: input struct: - name: tweet dtype: string - name: prediction struct: - name: hate_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2570214 num_examples: 100 - name: val num_bytes: 2623364 num_examples: 100 download_size: 5158417 dataset_size: 5193578 - config_name: tweet_eval_irony features: - name: input struct: - name: tweet dtype: string - name: prediction struct: - name: irony_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2587756 num_examples: 100 - name: val num_bytes: 3898383 num_examples: 100 download_size: 5691652 dataset_size: 6486139 - config_name: tweet_eval_offensive features: - name: input struct: - name: tweet dtype: string - name: prediction struct: - name: offensive_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2278350 num_examples: 100 - name: val num_bytes: 5247161 num_examples: 100 download_size: 6583864 dataset_size: 7525511 - config_name: tweet_eval_sentiment features: - name: input struct: - name: tweet dtype: string - name: prediction struct: - name: sentiment_label dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 2539094 num_examples: 100 - name: val num_bytes: 2608997 num_examples: 100 download_size: 5124686 dataset_size: 5148091 - config_name: ultrafeedback features: - name: input struct: - name: prompt dtype: string - name: response dtype: string - name: prediction struct: - name: instruction_following dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3961343 num_examples: 100 - name: val num_bytes: 6557603 num_examples: 100 download_size: 9559601 dataset_size: 10518946 - config_name: writingprompts_quality features: - name: input struct: - name: prompt dtype: string - name: story dtype: string - name: prediction struct: - name: quality_score dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 9455055 num_examples: 100 - name: val num_bytes: 5435728 num_examples: 100 download_size: 11508374 dataset_size: 14890783 - config_name: yahoo_answers_quality features: - name: input struct: - name: answer dtype: string - name: question dtype: string - name: prediction struct: - name: rating dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 7939646 num_examples: 100 - name: val num_bytes: 3147017 num_examples: 100 download_size: 8760811 dataset_size: 11086663 - config_name: yelp features: - name: input struct: - name: text dtype: string - name: prediction struct: - name: rating dtype: string - name: reasoning dtype: string - name: messages struct: - name: messages list: - name: content dtype: string - name: role dtype: string - name: outputs struct: - name: reasoning_content dtype: string - name: text dtype: string - name: correct dtype: bool splits: - name: train num_bytes: 3418240 num_examples: 100 - name: val num_bytes: 4603872 num_examples: 100 download_size: 7189598 dataset_size: 8022112 configs: - config_name: aes2_essay_scoring data_files: - split: train path: aes2_essay_scoring/train-* - split: val path: aes2_essay_scoring/val-* - config_name: anli_r1 data_files: - split: train path: anli_r1/train-* - split: val path: anli_r1/val-* - config_name: anli_r2 data_files: - split: train path: anli_r2/train-* - split: val path: anli_r2/val-* - config_name: anli_r3 data_files: - split: train path: anli_r3/train-* - split: val path: anli_r3/val-* - config_name: arc_challenge data_files: - split: ood path: arc_challenge/ood-* - config_name: argument_quality_ranking data_files: - split: ood path: argument_quality_ranking/ood-* - config_name: big_patent_innovation data_files: - split: train path: big_patent_innovation/train-* - split: val path: big_patent_innovation/val-* - config_name: boardgame_qa data_files: - split: train path: boardgame_qa/train-* - split: val path: boardgame_qa/val-* - config_name: chatbot_arena_conversations data_files: - split: train path: chatbot_arena_conversations/train-* - split: val path: chatbot_arena_conversations/val-* - config_name: civil_comments data_files: - split: train path: civil_comments/train-* - split: val path: civil_comments/val-* - config_name: code_judge_bench data_files: - split: ood path: code_judge_bench/ood-* - config_name: colbert_humor_detection data_files: - split: train path: colbert_humor_detection/train-* - split: val path: colbert_humor_detection/val-* - config_name: customer_support_tickets_en data_files: - split: train path: customer_support_tickets_en/train-* - split: val path: customer_support_tickets_en/val-* - config_name: customer_support_tickets_gorkem data_files: - split: train path: customer_support_tickets_gorkem/train-* - split: val path: customer_support_tickets_gorkem/val-* - config_name: dbpedia_easy data_files: - split: train path: dbpedia_easy/train-* - split: val path: dbpedia_easy/val-* - config_name: dbpedia_hard data_files: - split: train path: dbpedia_hard/train-* - split: val path: dbpedia_hard/val-* - config_name: dbpedia_medium data_files: - split: train path: dbpedia_medium/train-* - split: val path: dbpedia_medium/val-* - config_name: enron_email_quality data_files: - split: train path: enron_email_quality/train-* - split: val path: enron_email_quality/val-* - config_name: enron_email_type data_files: - split: train path: enron_email_type/train-* - split: val path: enron_email_type/val-* - config_name: enron_reply_quality data_files: - split: train path: enron_reply_quality/train-* - split: val path: enron_reply_quality/val-* - config_name: go_emotions data_files: - split: train path: go_emotions/train-* - split: val path: go_emotions/val-* - config_name: gpqa_diamond data_files: - split: ood path: gpqa_diamond/ood-* - config_name: halueval_dialogue data_files: - split: train path: halueval_dialogue/train-* - split: val path: halueval_dialogue/val-* - config_name: halueval_qa data_files: - split: train path: halueval_qa/train-* - split: val path: halueval_qa/val-* - config_name: halueval_summarization data_files: - split: ood path: halueval_summarization/ood-* - config_name: hh_rlhf data_files: - split: train path: hh_rlhf/train-* - split: val path: hh_rlhf/val-* - config_name: judge_bench data_files: - split: ood path: judge_bench/ood-* - config_name: lex_glue_case_hold data_files: - split: train path: lex_glue_case_hold/train-* - split: val path: lex_glue_case_hold/val-* - config_name: lex_glue_ledgar data_files: - split: train path: lex_glue_ledgar/train-* - split: val path: lex_glue_ledgar/val-* - config_name: medical_abstracts data_files: - split: train path: medical_abstracts/train-* - split: val path: medical_abstracts/val-* - config_name: mfrc data_files: - split: train path: mfrc/train-* - split: val path: mfrc/val-* - config_name: mmlu data_files: - split: train path: mmlu/train-* - split: val path: mmlu/val-* - config_name: mmlu_pro data_files: - split: ood path: mmlu_pro/ood-* - config_name: mt_bench_human_judgments data_files: - split: ood path: mt_bench_human_judgments/ood-* - config_name: musr_murder_mysteries data_files: - split: ood path: musr_murder_mysteries/ood-* - config_name: musr_object_placements data_files: - split: ood path: musr_object_placements/ood-* - config_name: musr_team_allocation data_files: - split: ood path: musr_team_allocation/ood-* - config_name: or_bench_80k data_files: - split: train path: or_bench_80k/train-* - split: val path: or_bench_80k/val-* - config_name: or_bench_hard_1k data_files: - split: train path: or_bench_hard_1k/train-* - split: val path: or_bench_hard_1k/val-* - config_name: or_bench_toxic data_files: - split: ood path: or_bench_toxic/ood-* - config_name: projudgebench data_files: - split: train path: projudgebench/train-* - split: val path: projudgebench/val-* - config_name: reward_bench_2 data_files: - split: train path: reward_bench_2/train-* - split: val path: reward_bench_2/val-* - config_name: rod101_essay_scoring data_files: - split: ood path: rod101_essay_scoring/ood-* - config_name: sem_eval_2010_task_8 data_files: - split: train path: sem_eval_2010_task_8/train-* - split: val path: sem_eval_2010_task_8/val-* - config_name: smollm_corpus data_files: - split: train path: smollm_corpus/train-* - split: val path: smollm_corpus/val-* - config_name: snli data_files: - split: train path: snli/train-* - split: val path: snli/val-* - config_name: spartqa_mchoice data_files: - split: train path: spartqa_mchoice/train-* - split: val path: spartqa_mchoice/val-* - config_name: toxigen_data data_files: - split: train path: toxigen_data/train-* - split: val path: toxigen_data/val-* - config_name: tweet_eval_emotion data_files: - split: train path: tweet_eval_emotion/train-* - split: val path: tweet_eval_emotion/val-* - config_name: tweet_eval_hate data_files: - split: train path: tweet_eval_hate/train-* - split: val path: tweet_eval_hate/val-* - config_name: tweet_eval_irony data_files: - split: train path: tweet_eval_irony/train-* - split: val path: tweet_eval_irony/val-* - config_name: tweet_eval_offensive data_files: - split: train path: tweet_eval_offensive/train-* - split: val path: tweet_eval_offensive/val-* - config_name: tweet_eval_sentiment data_files: - split: train path: tweet_eval_sentiment/train-* - split: val path: tweet_eval_sentiment/val-* - config_name: ultrafeedback data_files: - split: train path: ultrafeedback/train-* - split: val path: ultrafeedback/val-* - config_name: writingprompts_quality data_files: - split: train path: writingprompts_quality/train-* - split: val path: writingprompts_quality/val-* - config_name: yahoo_answers_quality data_files: - split: train path: yahoo_answers_quality/train-* - split: val path: yahoo_answers_quality/val-* - config_name: yelp data_files: - split: train path: yelp/train-* - split: val path: yelp/val-* --- # qwen3.5-2b-v2-instructions-smoke-10k - Repo: `tytodd/qwen3.5-2b-v2-instructions-smoke-10k` - Model: `Qwen/Qwen3.5-2B` - Config: `/tmp/v2-instructions-smoke-10k.yaml` | benchmark | train | val | ood | all | | --- | --- | --- | --- | --- | | chatbot_arena_conversations | 66.00% | 71.00% | | 68.50% | | hh_rlhf | 47.00% | 57.00% | | 52.00% | | ultrafeedback | 40.00% | 31.00% | | 35.50% | | projudgebench | 88.00% | 83.00% | | 85.50% | | reward_bench_2 | 67.00% | 72.00% | | 69.50% | | aes2_essay_scoring | 23.00% | 25.00% | | 24.00% | | halueval_qa | 85.00% | 79.00% | | 82.00% | | halueval_dialogue | 65.00% | 67.00% | | 66.00% | | or_bench_80k | 20.00% | 31.00% | | 25.50% | | or_bench_hard_1k | 56.00% | 55.00% | | 55.50% | | toxigen_data | 76.00% | 70.00% | | 73.00% | | civil_comments | 92.00% | 84.00% | | 88.00% | | boardgame_qa | 89.00% | 90.00% | | 89.50% | | go_emotions | 1.00% | 0.00% | | 0.50% | | mfrc | 49.00% | 62.00% | | 55.50% | | tweet_eval_emotion | 79.00% | 81.00% | | 80.00% | | yelp | 63.00% | 44.00% | | 53.50% | | tweet_eval_sentiment | 67.00% | 71.00% | | 69.00% | | mmlu | 42.00% | 71.00% | | 56.50% | | spartqa_mchoice | 82.00% | 71.00% | | 76.50% | | anli_r1 | 85.00% | 77.00% | | 81.00% | | anli_r2 | 91.00% | 69.00% | | 80.00% | | anli_r3 | 53.00% | 65.00% | | 59.00% | | snli | 82.00% | 73.00% | | 77.50% | | sem_eval_2010_task_8 | 63.00% | 55.00% | | 59.00% | | smollm_corpus | 52.00% | 42.00% | | 47.00% | | medical_abstracts | 56.00% | 70.00% | | 63.00% | | lex_glue_case_hold | 76.00% | 66.00% | | 71.00% | | lex_glue_ledgar | 74.00% | 65.00% | | 69.50% | | dbpedia_easy | 94.00% | 93.00% | | 93.50% | | dbpedia_medium | 51.00% | 51.00% | | 51.00% | | dbpedia_hard | 41.00% | 40.00% | | 40.50% | | colbert_humor_detection | 72.00% | 72.00% | | 72.00% | | tweet_eval_irony | 55.00% | 57.00% | | 56.00% | | tweet_eval_hate | 76.00% | 63.00% | | 69.50% | | tweet_eval_offensive | 77.00% | 73.00% | | 75.00% | | customer_support_tickets_en | 51.00% | 31.00% | | 41.00% | | customer_support_tickets_gorkem | 2.00% | 1.00% | | 1.50% | | yahoo_answers_quality | 22.00% | 26.00% | | 24.00% | | big_patent_innovation | 53.00% | 56.00% | | 54.50% | | writingprompts_quality | 33.00% | 47.00% | | 40.00% | | enron_email_type | 72.00% | 68.00% | | 70.00% | | enron_email_quality | 17.00% | 11.00% | | 14.00% | | enron_reply_quality | 63.00% | 58.00% | | 60.50% | | argument_quality_ranking | | | 31.00% | 31.00% | | rod101_essay_scoring | | | 23.00% | 23.00% | | or_bench_toxic | | | 26.00% | 26.00% | | judge_bench | | | 58.00% | 58.00% | | musr_team_allocation | | | 69.00% | 69.00% | | musr_object_placements | | | 51.00% | 51.00% | | musr_murder_mysteries | | | 53.00% | 53.00% | | halueval_summarization | | | 66.00% | 66.00% | | code_judge_bench | | | 60.00% | 60.00% | | mmlu_pro | | | 64.00% | 64.00% | | gpqa_diamond | | | 53.00% | 53.00% | | arc_challenge | | | 88.00% | 88.00% | | mt_bench_human_judgments | | | 67.00% | 67.00% | | all | 59.27% | 57.82% | 54.54% | 58.03% |
提供机构:
tytodd
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作