Datasetpublic

shuaih777/music-crs-listwise-train-shuffled

music-crs-listwise-train-shuffled Training data for listwise reranking in music conversational recommendation (RecSys 2026 challenge). Key feature Candidate tracks are randomly shuffled before building each training example, preventing the model from learning the identity shortcut (outputting original order). Format Each line is a JSON object with messages (system/user/assistant chat turns) and metadata: session_id, turn_number: conversation… See the full description on the dataset page: https://huggingface.co/datasets/shuaih777/music-crs-listwise-train-shuffled.

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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Dataset Card

music-crs-listwise-train-shuffled

Training data for listwise reranking in music conversational recommendation (RecSys 2026 challenge).

Key feature

Candidate tracks are randomly shuffled before building each training example, preventing the model from learning the identity shortcut (outputting original order).

Format

Each line is a JSON object with messages (system/user/assistant chat turns) and metadata:

—sessionid, turnnumber: conversation identifier
—messages[-1].content: target ranking as comma-separated track indices (1-indexed, gold track first)

Stats

—3,129 examples
—Gold position uniformly distributed across 1-20 after shuffling
—Source candidates: lgbmablplus_nvembed (14-leg LightGBM ensemble)
—Ground truth: TalkPlayData-Challenge-Dataset devset

Challenge: TalkPlay Music CRS Challenge (RecSys 2026)