datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imagenet_hard_review_data_r2dockersv1VLN-CE-R2R_easi
VLN-CE R2R Dataset for EASI
Vision-and-Language Navigation in Continuous Environments (VLN-CE) Room-to-Room
(R2R) benchmark, repackaged for the EASI
evaluation framework.
Task
An agent receives a natural language navigation instruction and must navigate
through a Matterport3D indoor environment to reach a goal location. The agent
uses discrete actions: STOP, MOVE_FORWARD (0.25m), TURN_LEFT (15 deg),
TURN_RIGHT (15 deg).
Success is measured when the agent stops within 3.0m… See the full description on the dataset page: https://huggingface.co/datasets/oscarqjh/VLN-CE-R2R_easi.repro-r2eval-routing-eval-bundle
R²Eval reproduction bundle
Reduced-scale, real reproduction of the routing claims of ICML 2026 paper
"Routing and Reasoned Evaluation with Large Language Models" (R²Eval)
(OpenReview d0dDhLR19Y, submission #9427).
What the paper claims
Claim 1: a routing-aware automated-assessment (LLM-as-judge) framework reduces evaluation
cost and latency while keeping alignment with human assessment.
Claim 2: difficulty-aware offline/online routing yields substantially better… See the full description on the dataset page: https://huggingface.co/datasets/kpshinnik/repro-r2eval-routing-eval-bundle.TBStar-VLM-R2levir-yolov8n-p2p3p4-m5-oacp-r2-runsr2r-metadata
r2r-metadata
Prepared metadata mirror for Room-to-Room (R2R).
Source annotation URLs:
train: https://www.dropbox.com/s/hh5qec8o5urcztn/R2R_train.json?dl=1
val_seen: https://www.dropbox.com/s/8ye4gqce7v8yzdm/R2R_val_seen.json?dl=1
val_unseen: https://www.dropbox.com/s/p6hlckr70a07wka/R2R_val_unseen.json?dl=1
test: https://www.dropbox.com/s/w4pnbwqamwzdwd1/R2R_test.json?dl=1
Public connectivity metadata copied into connectivity/ (92 files).
Contents:
train: 4675 rows
val_seen: 340… See the full description on the dataset page: https://huggingface.co/datasets/thomas-yanxin/r2r-metadata.EpistemeAI__Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train"… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2-details.mrdayl__OpenCognito-r2-details
Dataset Card for Evaluation run of mrdayl/OpenCognito-r2
Dataset automatically created during the evaluation run of model mrdayl/OpenCognito-r2
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/mrdayl__OpenCognito-r2-details.rollout_insertcard_filteredbc_r2_r0rollout_stackcups_bcq_q2_r2rollout_stackcups_filteredbc_r2_r0