datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Deep-RL-Course-CertificationHUI360
HUI360
HUI360: A 360° Egocentric Dataset and Baselines for Human-Robot Interaction Anticipation (IEEE FG 2026)
Open-access skeleton annotations for HUI360, a large-scale 360° egocentric dataset for human-robot interaction anticipation in the wild. This repository provides the annotations as tabular CSV files (one row per detection), ready for training and evaluation with HUI360-Baselines.
Related resources
Resource
Link
Project… See the full description on the dataset page: https://huggingface.co/datasets/rlorlou/HUI360.rl_llm_experiment_p6llava-15-rlmpq-vlm-eval-results
RL-MPQ VLM Evaluation Artifacts
Complete figures, tables, galleries, and raw benchmark CSVs for the extended VLM evaluation.
Dataset: AvoCahDoe/llava-15-rlmpq-vlm-eval-results
Collections (by base VLM)
RL-MPQ VLM — LLaVA-1.5-13B — HF collection
RL-MPQ VLM — LLaVA-1.5-7B — HF collection
RL-MPQ VLM — LLaVA-Next Mistral-7B — HF collection
RL-MPQ VLM — Qwen2-VL-7B — HF collection
Model repos
RL-MPQ High Fidelity →… See the full description on the dataset page: https://huggingface.co/datasets/AvoCahDoe/llava-15-rlmpq-vlm-eval-results.ExpansionRx_OpenADMET_RLM_CLint
ExpansionRx-OpenADMET RLM CLint
RLM CLint (rat liver microsomal intrinsic clearance) dataset from the ExpansionRx-OpenADMET Blind Challenge [1] [2]. It is intended to be used through
scikit-fingerprints library.
The task is to predict the rat liver microsomal intrinsic clearance (RLM CLint) of molecules.
Note that this dataset was not part of the original challenge. It was provided by the organizers afterward as an additional endpoint.
Characteristic
Description
Tasks
1… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/ExpansionRx_OpenADMET_RLM_CLint.hh-rlhfThis dataset is part of the Anthropic's HH data used to train their RLHF Assistant https://github.com/anthropics/hh-rlhf.
The data contains the first utterance from human to the dialog agent and the number of words in that utterance. The sampled version is a random sample of size 200.
RLVRAMBench
RLVRAMBench
Which language-model training configurations can I use with the memory
I have, and how much testing does that decision require?
RLVRAMBench is a measurement dataset with open evaluation tasks for a
specific language-model training system. It measures memory feasibility
when response generation and reinforcement-learning updates share the
same graphics processors. It provides measured outcomes, fixed prediction
tasks, a budgeted decision replay, reference methods, and… See the full description on the dataset page: https://huggingface.co/datasets/kobzaond/RLVRAMBench.zhihu_rlhf_3krl_llm_experiment_p9solar-rl
SolarChain-Eval RL Benchmark Data
This dataset contains the release bundle for SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets.
The benchmark evaluates autonomous economic governors in decentralized solar-energy markets. It combines city-level photovoltaic generation, peer-to-peer demand, market liquidity, token-burn dynamics, physics-constraint checks, baseline policies, trained RL policies, no-physics ablations… See the full description on the dataset page: https://huggingface.co/datasets/global-nomad-nexus/solar-rl.ClimateX
ClimateX: Expert Confidence in Climate Statements
What do LLMs know about climate? Let's find out!
ClimateX Dataset
We introduce the Expert Confidence in Climate Statements (ClimateX) dataset, a novel, curated, expert-labeled, natural language dataset of 8094 statements extracted or paraphrased from the IPCC Assessment Report 6: Working Group I report, Working Group II report, and Working Group III report, respectively.
Each statement is labeled with the corresponding… See the full description on the dataset page: https://huggingface.co/datasets/rlacombe/ClimateX.Chem-RLVR
Chem-RLVR
Chem-RLVR is a benchmark for reasoning over experimental reaction records,
with direct reaction-yield prediction and counterfactual yield-reasoning tasks.
Paper: "Chem-RLVR: Verifier-Based Training for Reaction Yield Prediction"
Dataset
Chem-RLVR contains 12,000 questions:
6,000 yield-prediction questions
6,000 counterfactual questions
Each task contains:
4,200 RL-training examples
1,800 frozen held-out evaluation examples
The benchmark covers three… See the full description on the dataset page: https://huggingface.co/datasets/redugo/Chem-RLVR.Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only
Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only.HLM_RLM
Human & Rat Liver Microsomal Stability
3345 RLM and 6420 HLM compounds were initially collected from the ChEMBL bioactivity database.
(HLM ID: 613373, 2367379, and 612558; RLM ID: 613694, 2367428, and 612558)
Finally, the RLM stability data set contains 3108 compounds, and the HLM stability data set contains 5902 compounds.
For the RLM stability data set, 1542 (49.6%) compounds were classified as stable, and 1566 (50.4%) compounds were classified as unstable,
among which the… See the full description on the dataset page: https://huggingface.co/datasets/maomlab/HLM_RLM.Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only
Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-SWE-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only.Nemotron-RL-Math-v2-prompt-only
Nemotron-RL-Math-v2-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Math-v2.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where prompt extraction produced a… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Math-v2-prompt-only.Biogen_ADME_RLM_CLint
Biogen ADME RLM CLint
Biogen_ADME_RLM_CLint dataset from the Biogen ADME benchmark [1]. It is intended to be used through
scikit-fingerprints library.
The task is to predict log10 of rat liver microsomal intrinsic clearance (RLM CLint, in mL/min/kg) of molecules.
Characteristic
Description
Tasks
1
Task type
regression
Total samples
3054
Recommended split
time
Recommended metric
MAE
References
[1]
Fang, Cheng, et al.
"Prospective Validation of… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/Biogen_ADME_RLM_CLint.Nemotron-3-Nano-RL-Training-Blend-prompt-only
Nemotron-3-Nano-RL-Training-Blend-prompt-only
Prompt-only extraction from nvidia/Nemotron-3-Nano-RL-Training-Blend.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-3-Nano-RL-Training-Blend-prompt-only.Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only
Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only.Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Function-Calling-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only.Nemotron-RL-Instruction-Following-Citation-Formatting-v1-prompt-only
Nemotron-RL-Instruction-Following-Citation-Formatting-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Citation-Formatting-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Citation-Formatting-v1-prompt-only.rlhf4recNemotron-RL-Instruction-Following-Adversarial-v1-prompt-only
Nemotron-RL-Instruction-Following-Adversarial-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Adversarial-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Adversarial-v1-prompt-only.Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1-prompt-only
Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1-prompt-only.Nemotron-RL-Instruction-Following-Calendar-v2-prompt-only
Nemotron-RL-Instruction-Following-Calendar-v2-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Calendar-v2.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Calendar-v2-prompt-only.Nemotron-RLHF-GenRM-v1-prompt-only
Nemotron-RLHF-GenRM-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RLHF-GenRM-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where prompt extraction… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RLHF-GenRM-v1-prompt-only.Nemotron-RL-InverseIFEval-v1-prompt-only
Nemotron-RL-InverseIFEval-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-InverseIFEval-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where prompt… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-InverseIFEval-v1-prompt-only.Nemotron-RL-Identity-Following-v1-prompt-only
Nemotron-RL-Identity-Following-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Identity-Following-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Identity-Following-v1-prompt-only.Nemotron-RL-litmus-bench-v0.1-prompt-only
Nemotron-RL-litmus-bench-v0.1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-litmus-bench-v0.1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where prompt… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-litmus-bench-v0.1-prompt-only.Nemotron-RL-Safety-v1-prompt-only
Nemotron-RL-Safety-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Safety-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where prompt extraction produced… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Safety-v1-prompt-only.