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MIRCE Meta — Benchmark Metadata + Indexes
Reproducibility kit for MIRCE (Multi-Modal Iterative Refinement of Cinematic Edits).
This dataset contains the metadata, jsonl indexes, and query sets for the MIRCE
benchmark. Source videos are in a separate repo (Lando0/mirce-bench-sources),
demo renders in Lando0/mirce-demos.
Contents
windows_v3.jsonl— 974 candidate windows (the candidate pool)windows_v3_*.jsonl— 8 perceptual signal tracks (audio, boundary, color, flow, face, shot_type, tnv2, whisper transcripts)windows_v3_clip_l14_embeddings.idx.jsonl— CLIP embedding indexessintel_pipeline.json— Sintel character clusters (DBSCAN on ArcFace)*_manifest*.json— source video manifestsqueries/— query sets used for evaluation (200q, adversarial, narrative, etc.)
Usage
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Lando0/mirce-meta", repo_type="dataset",
local_dir="data/bench_v1/")
Companion repos
Lando0/mirce-demos— 87 rendered demo MP4sLando0/mirce-bench-sources— raw video source pool (~30 GB, planned)Lando-C/Yin-Edit(GitHub) — code
License: CC-BY-4.0
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