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NicoloLocatelli/RecSys_ACM_2026_Hallucinated

RecSys 2026 ACM challenge, Team: Hallucinated Step 1: Download the full challenge datasets to obtail the following structure data/talkpl-ai/TalkPlayData-Challenge-Blind-A data/talkpl-ai/TalkPlayData-Challenge-Blind-B data/talkpl-ai/TalkPlayData-Challenge-Dataset data/talkpl-ai/TalkPlayData-Challenge-Track-Embeddings data/talkpl-ai/TalkPlayData-Challenge-Track-Metadata # Both all_tracks and test_tracks data/talkpl-ai/TalkPlayData-Challenge-User-Embeddings… See the full description on the dataset page: https://huggingface.co/datasets/NicoloLocatelli/RecSys_ACM_2026_Hallucinated.

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RecSys 2026 ACM challenge, Team: Hallucinated

Step 1: Download the full challenge datasets to obtail the following structure

data/talkpl-ai/TalkPlayData-Challenge-Blind-A
data/talkpl-ai/TalkPlayData-Challenge-Blind-B
data/talkpl-ai/TalkPlayData-Challenge-Dataset
data/talkpl-ai/TalkPlayData-Challenge-Track-Embeddings
data/talkpl-ai/TalkPlayData-Challenge-Track-Metadata # Both all_tracks and test_tracks
data/talkpl-ai/TalkPlayData-Challenge-User-Embeddings
data/talkpl-ai/TalkPlayData-Challenge-User-Metadata

Step 2: Generate split K

bash

cd src/splits
uv run python -u -m launchers.splitK_crossvalidation
uv run python -u -m launchers.explode_blind

Step 3: Compute Qwen embeddings

bash

cd src/heuristic
uv run python scripts/12_encode_gambling_caches.py \
    --stages tracks blind blindb_all splitk \
    --models qwen3_0p6b qwen3_4b qwen3_8b --instruction-prompts none \
    --query-batch-size 2 --track-batch-size 2 --allow-downloads --trust-remote-code
    
uv run scripts/03_encode_queries.py --encoder qwen3_frozen --splits train dev blind_a blind_b

Step 4: Candidate Generators

Check readme at src/basic_candidate_generators/README_REGEN_CG_DATASETS.md and src/bert4rec/README.md

Step 5: Reranker

Check readme at src/reranker_oof/RERANKER_README.md

Step 6: Heuristic

Check readme at src/heuristic/README.md

Step 7: LLM response generation

Check readme at src/resp_blind_b/README.md

Step 8: Merge responses to prediction json

bash

uv run merge_submission.py -p path/to/prediction.json -r path/to/response.json

For example:

bash

uv run merge_submission.py -p heuristic/LAST.json -r ../data/blind_b_responses/final_pipeline/responses.json