world_models/v1/README.md

GAUGE world-model videos and full trajectories, v1

This local release packages the documented, completed shared-seed world-model experiments and the nine selected Genie 3 videos. It contains original MP4 videos and byte-for-byte copies of the full raw trajectory JSON files, before task-specific analysis cropping. It is prepared for addition under world_models/v1/ in InternRobotics/GAUGE-Dataset; no remote upload has been performed by the build.

Scope

There are 3,249 video/trajectory pairs across five task families and nine task/material settings. The three local models contribute 100 seeds per task with the physical negative prompt and ten seeds per task without it. Wan2.7 contributes ten seeds per task in each condition; Seedance 2.0 contributes ten seeds without it. Genie 3 contributes one selected _1.mp4 per task, with unknown generation seed.

Model	Negative prompt	Tasks	Videos	Per task	In main summary
Cosmos3-Nano	with_negative	9	900	100	90
Cosmos3-Nano	without_negative	9	90	10	90
Cosmos3-Super-I2V	with_negative	9	900	100	90
Cosmos3-Super-I2V	without_negative	9	90	10	90
Genie 3	without_negative	9	9	1	9
Seedance 2.0	without_negative	9	90	10	90
Wan2.2	with_negative	9	900	100	90
Wan2.2	without_negative	9	90	10	90
Wan2.7	with_negative	9	90	10	90
Wan2.7	without_negative	9	90	10	90

The paired summary cohort contains 810 seeded videos (nine model/condition groups × nine task settings × ten seeds). Together with the nine Genie 3 videos, in_main_summary=true selects 819 records. The remaining 2,430 records are additional seeds from the three local-model physical-negative-prompt experiments. Samples shared by the two cohorts are stored only once. The paired seed numbers are 1, 12, 23, 34, 45, 56, 67, 78, 89, 100.

Video and trajectory payloads occupy 2,705,198,614 bytes (2.519 GiB), excluding indices and documentation.

Layout

world_models/v1/
  README.md
  index.parquet
  index.csv
  index.jsonl
  checksums.sha256
  validation.json
  metadata/
    seed_manifest.json
    paired10_selection.json
  videos/<model>/<condition>/<task>/seed_NNN.mp4
  trajectories/<model>/<condition>/<task>/seed_NNN.json

Genie 3 uses video_001 instead of seed_NNN. Paths in the index are relative to this v1/ directory. Task IDs and materials are standardized in release paths; original_task preserves source identifiers, including C5-3, C7-1, and C19. Genie source filenames spelling mental are mapped to metal in the index and destination paths only.

Reading the release

from pathlib import Path
import json
import pandas as pd

root = Path('world_models/v1')
index = pd.read_parquet(root / 'index.parquet')
main = index[index['in_main_summary']]
record = main.iloc[0]
video = root / record['video_path']
trajectory = json.loads((root / record['trajectory_path']).read_text())

index.jsonl provides the same records without a Parquet dependency. Original random seeds are strings, preserving positive 64-bit values exactly. seed_number is a one-based position in the original 100-seed manifest; seed_index is zero-based. For the API models, generation_seed/api_seed record the submitted seed (original seed modulo 2**31), while original_seed records the shared pool value. Sharing a pool position does not imply identical random streams across models. For Genie 3, seed fields are null; video_001 is an inference label, not a known seed.

Full trajectory semantics

Trajectory JSON files are copied without reformatting or changing their values. mid_point_traj.x/.y contain mask-centroid pixel coordinates keyed by original zero-based video frame numbers. box_center_traj contains bounding-box centers. Pixel origin is top-left; x increases rightward and y downward. Native video resolution, frame rate, and frame count are retained. No video resizing, re-encoding, frame resampling, trajectory cropping, smoothing, interpolation, or metric filtering is performed for this release.

“Full” means the original extraction result over the entire video, not a guarantee of detections in every frame. Missing/empty masks leave absent coordinate keys. The original frame_count is the total video frame count; tracked_frames, missing_frames, and tracking_coverage in the index describe observation coverage. Low-coverage and physically unmeasurable videos are retained. Tracking coverage is not generation validity, metric eligibility, or physical fidelity; those require separate task-specific analysis. Full-video JSON is included even when a physical metric cannot be computed.

Original JSON may retain historical absolute source_video paths and references to local visualization/annotation files. These fields are provenance, not portable release paths. Use the index's video_path and trajectory_path to resolve released files. Visualization images, cropped analysis trajectories, apex-only event files, metrics, real-world recordings, checkpoints, and historical 5/25-seed/debug outputs are outside this package.

Verification and provenance

Each payload was copied into a new regular file, not a symlink or hardlink. Source size, modification time, device, and inode were checked before and after copying. Source-read SHA256 was independently compared with the destination SHA256; recorded API/Genie video hashes were also checked when available. The MP4 stream dimensions, native FPS, and container frame count were checked against its trajectory metadata using ffprobe. Coordinate keys, finite values, frame ranges, model/task identity, expected seed sets, and seed-manifest identity were checked. This build checks video stream metadata; it does not claim a new full-frame decode or a new manual target-identity audit.

checksums.sha256 covers all published files except the checksum list itself. From this directory, run sha256sum -c checksums.sha256 to verify the release. validation.json records counts and checks. Local source-to-release mapping, source document snapshots, and the builder remain in the sibling _local/ directory outside the publishable world_models/ tree. Upload only world_models/ when adding this package to the existing dataset repository.

Authoritative local scope references: WM_SAM3_100seeds.md and 每个任务轨迹处理的规则.md, with the current Genie 3 input manifest. This package selects the latest documented raw extraction roots and does not select task-cropped analysis outputs.