match_id stringlengths 9 9 | match_dir stringlengths 9 9 | metadata_path stringlengths 23 23 | context_path stringlengths 22 22 | state_path stringlengths 19 19 | viewport_path stringlengths 22 22 | clip_dir stringlengths 14 14 |
|---|---|---|---|---|---|---|
match_001 | match_001 | match_001/metadata.json | match_001/context.json | match_001/state.csv | match_001/viewport.csv | match_001/clip |
match_003 | match_003 | match_003/metadata.json | match_003/context.json | match_003/state.csv | match_003/viewport.csv | match_003/clip |
match_004 | match_004 | match_004/metadata.json | match_004/context.json | match_004/state.csv | match_004/viewport.csv | match_004/clip |
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match_120 | match_120 | match_120/metadata.json | match_120/context.json | match_120/state.csv | match_120/viewport.csv | match_120/clip |
CASTER
CASTER (Commentary Alignment and State Tracking for Esports Research) is a multimodal dataset for observation-grounded commentary generation in StarCraft: Brood War. It aligns replay-rendered observer-view clips, synchronized observer-visible structured state, and quality-controlled commentary utterances. This release contains 239 matches (205 for training, 17 for validation, and 17 for testing) and 28,734 utterance-level clip-state-commentary records. The repository includes 28,697 replay-rendered clips. A small number of trailing commentary records occur after replay termination and therefore do not have a released clip file. Original broadcast video/audio and replay source files are not redistributed. For benchmark definitions, evaluation details, and a more detailed description of the dataset construction pipeline, please refer to the companion repository: https://github.com/kimd0/CASTER.
Repository Structure
CASTER/
|- README.md
|- splits/
| |- train.jsonl
| |- validation.jsonl
| `- test.jsonl
|- match_001/
| |- clip/
| | |- match_001_000.mp4
| | |- match_001_001.mp4
| | `- ...
| |- context.json
| |- viewport.csv
| |- state.csv
| `- metadata.json
|- match_002/
`- ...
Files
clip/: replay-rendered observer-view clips aligned to utterance segments.context.json: the main utterance-level benchmark file. Each record containsseg_index,clip_path,speech,speech_tag,time, andevents.viewport.csv: synchronized observer viewport trace.state.csv: synchronized frame-indexed replay state used to derive observer-grounded events.metadata.json: match-level metadata and alignment information.
Metadata Notes
- Player names are anonymized as
PLAYER_1andPLAYER_2. game_info.mapstores the standardized map name used in the release.game_info.map_filepreserves the original raw map filename.source.youtube_urlpoints to the original public YouTube source for provenance.alignmentstores match-level synchronization metadata between replay-derived state and commentary timing.
Usage Notes
- This release is organized by match directory rather than a single flat table. Users should read files directly from the repository hierarchy.
context.jsonis the core supervision file for benchmark use.splits/*.jsonlprovide match-level split manifests.- Some
context.jsonrecords correspond to post-game commentary after replay termination; these records may not have a matching released clip.
Intended Use
- Clip-to-Observation prediction
- Clip+Observation-to-Commentary generation
- Multimodal game understanding
- Esports commentary assistance research
License
This dataset release is intended for non-commercial research use under CC BY-NC 4.0. Original source videos remain subject to the respective rights holders' and platform terms.
Reference
If you use this dataset, please cite the accompanying paper:
TBD
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