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Datasets:
Sunyao
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deconav

Tasks:
Reinforcement Learning
Size:
1K<n<10K
Tags:
deconav
embodied-navigation
habitat
hm3d
multi-robot
License:
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dataset: add complete train and test splits
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metadata 
license: other
task_categories:
  - reinforcement-learning
tags:
  - deconav
  - embodied-navigation
  - habitat
  - hm3d
  - multi-robot
size_categories:
  - 1K<n<10K

DeCoNav Dataset

This repository contains the complete compact DeCoNav task release, split into 1,113 training tasks and 100 fixed evaluation tasks. It includes the task annotations and compact evaluator trajectories required by the DeCoNav data and evaluation pipeline. RGB/depth frame dumps, simulator scenes, debug logs, and machine-specific files are intentionally excluded.

Splits

Split Tasks Purpose
train/ 1,113 DeCoNav training-task pool after excluding the fixed test tasks.
test/ 100 Fixed task order used by the released DeCoNav evaluation.

Each task directory contains:

single_config.json
collab_json/collab_config_00.json
success/trial_*/collab_00/task.json

The test directory names are identical to the original 100-task release. Some training instructions occur in multiple scenes or source batches. Those collisions receive a deterministic .__batch_XX suffix so that no task is overwritten. splits.json records the original task name, source batches, selected successful trial, file sizes, and SHA-256 hashes.

Download 

hf download Sunyao/deconav --repo-type dataset --local-dir assets/datasets/deconav

Use assets/datasets/deconav/test as the evaluator dataset directory. The DeCoNav source release may pin an older immutable dataset revision for exact paper-result reproduction; that revision remains available in repository history.

Data Scope

  • Simulator: Habitat-Sim
  • Scene identifiers: HM3D v0.2
  • Scene files: not included
  • Released modalities: JSON task annotations and compact trajectories
  • Trial policy: preserve the original released trial for test tasks; use the lexicographically latest successful trial for training tasks when multiple successful trials exist

Evaluator-only positions, geodesic distances, and reference paths stored in the compact trajectory are used only for initialization and metric calculation. They are not policy inputs in the released DeCoNav evaluator.

Integrity

DATA_SHA256SUMS contains hashes for every task file. splits.json contains the same per-file hashes plus split-level and whole-dataset tree hashes. Tree hashes are computed from sorted UTF-8 lines of the form <relative_path>\t<size_bytes>\t<file_sha256>\n.

License

See LICENSE. HM3D scenes are not redistributed and remain subject to their original terms. Access to this dataset does not grant a license to HM3D.