datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Sequential-Math
RecursiveMAS Sequential-Math
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Sequential-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Sequential-Math
Original file
Sequential-Math.json
Collaboration style
Sequential-Style
Used for
sequential math inner agents and outer RecursiveLink… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Sequential-Math.recursive-task-synthesis-glm-5.3-rollouts
GLM 5.3 agentic rollouts on Recursive-Task-Synthesis
This dataset catalogs the full collection made from the pinned
Recursive-Task-Synthesis dataset revision
be44f96808d5a9b599d5cb024341ff00091adeb7. The repository includes approximately 260.5 GiB of trajectory payload tar shards.
Contents at a glance
Item
Count
Source tasks considered
37,284
Source candidates inspected
19,368
Converted tasks after source filters
18,600
Tasks passing gold… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/recursive-task-synthesis-glm-5.3-rollouts.pubmedqa-recursive-llm-degradation-qwen2.5-0.5b
PubMedQA Recursive LLM Degradation — Qwen2.5-3B
This repository contains synthetic biomedical question-answering data
and model predictions generated as part of a study of recursive
fine-tuning and model degradation.
Base Model
Qwen/Qwen2.5-3B
Source Dataset
The experiments use the PubMedQA dataset:
qiaoxin/PubMedQA
This repository contains generated/derived research artifacts and does
not redistribute the original PubMedQA dataset in its entirety.… See the full description on the dataset page: https://huggingface.co/datasets/chrislimbe/pubmedqa-recursive-llm-degradation-qwen2.5-0.5b.pubmedqa-recursive-llm-degradation-qwen2.5-3b
PubMedQA Recursive LLM Degradation — Qwen2.5-3B
This repository contains synthetic biomedical question-answering data
and model predictions generated as part of a study of recursive
fine-tuning and model degradation.
Base Model
Qwen/Qwen2.5-3B
Source Dataset
The experiments use the PubMedQA dataset:
qiaoxin/PubMedQA
This repository contains generated/derived research artifacts and does
not redistribute the original PubMedQA dataset in its entirety.… See the full description on the dataset page: https://huggingface.co/datasets/chrislimbe/pubmedqa-recursive-llm-degradation-qwen2.5-3b.openclaw-recursive-study-data
OpenClaw Recursive Repository Study Data
Synthetic repository-study data generated against
openclaw/openclaw at commit
da228660306b55a9cce3b973946f3aacfc515848. The source repository is MIT licensed.
This release contains exploration questions, tool-using study trajectories,
recursive notes, full recall-rewritten trajectories, and recall-to-action
training examples. Nested chat/tool objects are stored as JSON strings to keep
the schema stable and can be decoded with json.loads.… See the full description on the dataset page: https://huggingface.co/datasets/aviralku/openclaw-recursive-study-data.Distillation-Code
RecursiveMAS Distillation-Code
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Distillation-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Distillation-Code
Original file
Distillation-Code.json
Collaboration style
Distillation-Style
Used for
expert/learner code inner agents and outer… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Distillation-Code.Sequential-Code
RecursiveMAS Sequential-Code
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Sequential-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Sequential-Code
Original file
Sequential-Code.json
Collaboration style
Sequential-Style
Used for
sequential code inner agents and outer RecursiveLink… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Sequential-Code.Mixture-Math
RecursiveMAS Mixture-Math
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Mixture-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Mixture-Math
Original file
Mixture-Math.json
Collaboration style
Mixture-Style
Used for
math specialist inner agent training
Split
train
Rows
1904… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Mixture-Math.Vinayak-Multistep-Recursive-Reasoning-Benchmark
Vinayak Multistep Recursive Reasoning Benchmark (VMRRB)
Overview
The Vinayak Multistep Recursive Reasoning Benchmark (VMRRB) is a large-scale prompt-based benchmark designed to evaluate advanced reasoning, recursive dependency resolution, encrypted task traversal, and robustness capabilities of frontier AI systems.
The benchmark evaluates a model's ability to:
Perform recursive multistep reasoning
Resolve interdependent question chains
Execute encrypted dependency… See the full description on the dataset page: https://huggingface.co/datasets/bepipeV/Vinayak-Multistep-Recursive-Reasoning-Benchmark.Distillation-Math
RecursiveMAS Distillation-Math
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Distillation-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Distillation-Math
Original file
Distillation-Math.json
Collaboration style
Distillation-Style
Used for
expert/learner math inner agents and outer… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Distillation-Math.Deliberation
RecursiveMAS Deliberation
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Deliberation-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Deliberation
Original file
Deliberation.json
Collaboration style
Deliberation-Style
Used for
reflector/tool-caller inner agents and outer RecursiveLink… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Deliberation.Mixture-Science
RecursiveMAS Mixture-Science
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Mixture-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Mixture-Science
Original file
Mixture-Science.json
Collaboration style
Mixture-Style
Used for
science specialist inner agent training
Split
train
Rows… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Mixture-Science.Vinayak-Multistep-Recursive-Reasoning-Benchmark
Vinayak Multistep Recursive Reasoning Benchmark (VMRRB)
Overview
The Vinayak Multistep Recursive Reasoning Benchmark (VMRRB) is a large-scale prompt-based benchmark designed to evaluate advanced reasoning, recursive dependency resolution, encrypted task traversal, and robustness capabilities of frontier AI systems.
The benchmark evaluates a model's ability to:
Perform recursive multistep reasoning
Resolve interdependent question chains
Execute encrypted… See the full description on the dataset page: https://huggingface.co/datasets/SavantCapital/Vinayak-Multistep-Recursive-Reasoning-Benchmark.Mixture-Outer
RecursiveMAS Mixture-Outer
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Mixture-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Mixture-Outer
Original file
Mixture-Outer.json
Collaboration style
Mixture-Style
Used for
mixture outer RecursiveLink training
Split
train
Rows
4904… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Mixture-Outer.Mixture-Code
RecursiveMAS Mixture-Code
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Mixture-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Mixture-Code
Original file
Mixture-Code.json
Collaboration style
Mixture-Style
Used for
code specialist inner agent training
Split
train
Rows
2000… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Mixture-Code.Mixture-Summarizer
RecursiveMAS Mixture-Summarizer
Project Page | Code | Paper
We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. This dataset contains training examples for the Mixture-Style setting.
Dataset Details
Item
Description
Dataset
RecursiveMAS/Mixture-Summarizer
Original file
Mixture-Summarizer.json
Collaboration style
Mixture-Style
Used for
summarizer inner agent training
Split
train… See the full description on the dataset page: https://huggingface.co/datasets/RecursiveMAS/Mixture-Summarizer.
