datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vln_r2r_rxr_hfov90VLN-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.JanusVLN-RxR-R2R-parquetFloorPlan-VLN-R2Rvln_r2r_manifestsr2r-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.R2R_queryThis is the training and validation query set used by the paper R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. This dataset contains token-level routing labels generated to train a lightweight router that selectively uses a Large Language Model (LLM) for critical, path-divergent tokens during inference, improving efficiency without sacrificing accuracy.
Roads to Rome (R2R) is a neural token router that efficiently combines Large Language Models… See the full description on the dataset page: https://huggingface.co/datasets/nics-efc/R2R_query.w2r100k_r2r40k_r100kR2R_queryHanningZhang_Llama3-w2r100k-r2r40k-r100k-2ep_tmp10w2r125k_r2r115k_r125kw2r125k_r2r60k_r150k_ep3_tmp0HanningZhang_Llama3-w2r100k-r2r40k-r182k-2ep_tmp10HanningZhang_Llama3-w2r100k-r2r40k-r100k-3ep_tmp07w2r125k_r2r60k_r150kw2r100k_r2r40k_r182kllama3_sft_w2r125k_r2r60k_r80ktmp10_vllmexp
Dataset Card for "llama3_sft_w2r125k_r2r60k_r80ktmp10_vllmexp"
More Information needed
w2r125k_r2r90k_r125kllama3_sft_w2r125k_r2r115k_r125k_ep3_tmp10llama3_sft_w2r125k_r2r60k_r60k_ep3_tmp10_vllmexpw2r125k_r2r115k_r80kllama3_sft_w2r125k_r2r60k_r60k_ep3_tmp10_vllmexp_gold_rewardw2r100k_r2r40k_r75kHanningZhang_Llama3-w2r100k-r2r40k-r100k-3ep_tmp10llama3_sft_w2r125k_r2r115k_r125k_ep3_tmp0w2r125k_r2r115k_r100kllama3_sft_w2r125k_r2r60k_r100k_ep3_tmp10llama3_sft_w2r125k_r2r60k_r60k_ep3_tmp10w2r125k_r2r0k_r185k_ep3_tmp07_vllmexpllama3_sft_w2r125k_r2r115k_r125k_ep3_tmp07