datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Meta-rater-PRRC-Rater-dataset
PRRC Rater Training and Evaluation Dataset
Dataset Description
This dataset contains the full training and evaluation data for the PRRC rater models described in Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models. It is designed for training and benchmarking models that score text along four key quality dimensions: Professionalism, Readability, Reasoning, and Cleanliness.
Source: Subset of SlimPajama-627B, annotated for PRRC dimensions… See the full description on the dataset page: https://huggingface.co/datasets/opendatalab/Meta-rater-PRRC-Rater-dataset.meta-routing
MetaRouting Dataset
This dataset contains synthetic benchmark artifacts for the Research MetaRouting project, covering meta-decision policies for agentic workflows: when to answer directly, decompose, retrieve, execute code, delegate, verify, or recover from failures.
Source repository: https://github.com/anote-ai/Research-MetaRouting
Displayable Configs
The Hugging Face viewer reads normalized JSONL tables under viewer/:
dai2026_traces, dai2026_tasks… See the full description on the dataset page: https://huggingface.co/datasets/anote-ai/meta-routing.MetaRAG_Cross-Issue_OSSQA
MetaRAG Cross-Issue OSSQA
Dataset page: https://huggingface.co/datasets/MapleBi/MetaRAG_Cross-Issue_OSSQA
MetaRAG Cross-Issue OSSQA is an English open-source software issue question-answering and retrieval benchmark. Each example asks a question grounded in one GitHub issue and requires evidence from a related issue. The data contains explicit cross-issue references and a three-document silver evidence path.
Dataset configurations
Configuration
Splits
Rows… See the full description on the dataset page: https://huggingface.co/datasets/MapleBi/MetaRAG_Cross-Issue_OSSQA.dafny_with_hintsALERT: this dataset also contains all of the CLOVER dataset
Here is the distribution of hints across the 343 files in this dataset:
Here is the distribution of non-comment code lines across the 343 files in this dataset: