datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
phase_tree_results
PHASE-Tree Evaluation Results
Full evaluation outputs for the PHASE-Tree paper
(Psychology-grounded Hierarchical Attribute-Structured Evolving Tree),
covering 8 character-dialogue datasets, 4 experimental paradigms, and
2 evaluation splits (random test + OOD test).
Please cite this work if you use these results for analysis, comparison, reproduction, or any other research purpose.
🔗 Resources:
📄 Paper: arXiv:2608.06975
📦 GitHub Repository: MemTensor/PHASE-Tree (code… See the full description on the dataset page: https://huggingface.co/datasets/Mathematics-Yang/phase_tree_results.IndustryCorpus_mathematics[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_mathematics.mathematics_competition
Mathematics Competition Evaluation
Competition-level mathematics evaluation dataset with 3-run predictions from Gemini model.
Dataset Structure
Each row contains:
uuid: unique identifier
question: math competition problem
answer: ground truth answer
source: problem source
run_0, run_1, run_2: each a dict with:
prediction: model's answer
stream_output: list of stream output segments
stream_output_kinds: list of output kinds (thought/text/tool_call)
correct: whether… See the full description on the dataset page: https://huggingface.co/datasets/LinhIcey/mathematics_competition.