five

MaxDevv/eval-Qwen3-235B-A22B-reasoning

收藏
Hugging Face2026-05-26 更新2026-05-31 收录
下载链接:
https://hf-mirror.com/datasets/MaxDevv/eval-Qwen3-235B-A22B-reasoning
下载链接
链接失效反馈
官方服务:
资源简介:
这是一个重新格式化的评估结果数据集,针对Qwen-235B-A22B-Thinking模型,由Nous Hermes评估套件生成。数据集将原始评估输出(samples.jsonl)与对应的基准指标(metrics.json)合并为干净的Parquet表格,包含15个基准测试(如aime24、aime25、arenahard等),排除了creative-writing-v3和eqbench3。关键列包括完整的对话消息(messages)、用户查询(query)、模型响应(model_response)、真实答案(gold_answer,如果可用)、模型名称、温度等生成配置,以及每个基准的得分列(如math_pass@1:64_samples、eval_overall_winrate等)。数据集用于评估模型在数学、推理、知识问答等多个领域的性能,并提供了详细的得分和统计信息。

This dataset is a reformatted copy of eval results for Qwen-235B-A22B-Thinking, originally produced by the Nous Hermes evaluation suite. It combines raw evaluation outputs (samples.jsonl) with corresponding benchmark metrics (metrics.json) into clean, self-contained Parquet tables. It includes 15 benchmarks (e.g., aime24, aime25, arenahard, etc.), excluding creative-writing-v3 and eqbench3. Key columns include the full conversation messages, user query, model response, ground truth (when available), model name, temperature, and other generation configurations, along with per-benchmark score columns (e.g., math_pass@1:64_samples, eval_overall_winrate, etc.). The dataset is used to evaluate the models performance across various domains such as mathematics, reasoning, and knowledge Q&A, with detailed scores and statistics provided.
提供机构:
MaxDevv
二维码
社区交流群
二维码
科研交流群
商业服务