littlechest/boxoffice-verified-seeds
BoxOffice Verified Seeds This dataset contains the released BoxOffice seed datasets used in the benchmark pipeline described in the accompanying paper. The release includes ten verified seeds: 7 11 13 17 19 23 29 31 47 73 For each seed, we provide: a full JSONL file containing warmup rows plus evaluation rows an eval JSONL file containing only the evaluation rows a manifest JSON file a validation JSON file with directional warmup counts Layout seeds/… See the full description on the dataset page: https://huggingface.co/datasets/littlechest/boxoffice-verified-seeds.
BoxOffice Verified Seeds
This dataset contains the released BoxOffice seed datasets used in the benchmark pipeline described in the accompanying paper. The release includes ten verified seeds:
7111317192329314773
For each seed, we provide:
- a
fullJSONL file containing warmup rows plus evaluation rows - an
evalJSONL file containing only the evaluation rows - a manifest JSON file
- a validation JSON file with directional warmup counts
Layout
seeds/boxoffice_filtered_v4_balanced_m4_s<seed>_full.jsonlboxoffice_filtered_v4_balanced_m4_s<seed>_eval.jsonlmanifests/boxoffice_filtered_v4_balanced_m4_s<seed>.manifest.jsonvalidation/boxoffice_filtered_v4_balanced_m4_s<seed>_direction_counts.jsoncroissant.json- Croissant metadata with the minimal Responsible AI fields required for NeurIPS dataset submission
What These Files Represent
Each JSONL row is a fully rendered benchmark example built from a synthetic film corpus. The released seeds were generated by:
- constructing or reusing warm-retrieval metadata,
- oversampling candidate rows for the four directional cells,
- keeping only rows that the filter models solve with full context but fail in the question-only setting, and
- augmenting the resulting evaluation set with balanced directional warmup rows.
The released seed ids above are the verified outputs of that pipeline.
Intended Use
This dataset is intended for:
- reproducing the released BoxOffice seed datasets,
- evaluating cache-aware and retrieval-augmented language model methods, and
- auditing benchmark behavior across multiple verified seeds.
This dataset is not intended to support broad real-world claims outside the benchmark setting.
Notes
- The companion code release will be linked here once public.
- The hosted
croissant.jsonis the file intended for NeurIPS submission after final metadata checks.
