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| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: train.jsonl | |
| - split: test | |
| path: test.jsonl | |
| - split: queries | |
| path: test.jsonl | |
| - config_name: items | |
| data_files: | |
| - split: items | |
| path: items.jsonl | |
| # MovieLens Leave-One-Out | |
| Five chronological interactions predict the next interaction. One final test target per user; no rating filter. Histories are audit-only, not wholesale model inputs. Actors are supplementary; see actor_sources.json. | |
| ```json | |
| { | |
| "schema": "movie-fields-v1", | |
| "source": "official MovieLens 100K", | |
| "sample_policy": "leave-one-out-windows", | |
| "past_order": "oldest-first", | |
| "history_length": 5, | |
| "stride": 1, | |
| "shuffle_seed": 42, | |
| "timestamp_policy": "rating timestamp then original u.data row ordinal; ties are not verified watch order", | |
| "target_policy": "immediate next interaction, any rating; final interaction held out per user", | |
| "catalog_items": 1682, | |
| "split_counts": { | |
| "train": 94342, | |
| "test": 943 | |
| }, | |
| "history_rows": 943, | |
| "seen_items_filtered": false, | |
| "movies_with_actors": 1618, | |
| "actor_join_methods": { | |
| "unique_official_movielens_title_year_link_imdb_year_checked": 1268, | |
| "unique_title_adjacent_release_year_inferred": 56, | |
| "unique_imdb_title_year": 268, | |
| "unmatched": 31, | |
| "explicit_imdb_id_in_original_url": 53, | |
| "ambiguous_title_year": 6 | |
| }, | |
| "source_events": 100000, | |
| "users": 943, | |
| "users_too_short": 0, | |
| "timestamp_ties": 50561, | |
| "held_out_events_in_train": 0 | |
| } | |
| ``` | |
| ## Index-only plots | |
| Samples and metadata are unchanged. Select `--recommendation-index-content metadata-plot` to index `search_text`; the default still uses metadata-only `text`. Plots never enter histories. Keep plot_source attribution and its content license when distributing. See plot_enrichment.json for coverage and byte-identical files. | |