# InfoSeek statistics 최신 local InfoSeek 파일과 새로 추가된 `infoseek_val_qtype.jsonl` 기준으로 다시 계산했다. Raw 계산 결과: ```text dataset_explanation/infoseek/infoseek_stats_full.json ``` 사용한 KnowCoL entity set: ```text KnowCoL/knowcol/datasets/wikidata_subgraph_v1/entity.txt ``` 주의: ```text train/val은 with-KB 파일이 있으므로 gold QID가 명시되어 있다. test/human은 local에 explicit with-KB 파일이 없다. 또한 최신 OVEN test/human 파일에도 entity_id가 없다. 따라서 test/human의 entity coverage는 현재 local 파일만으로는 공식적으로 계산할 수 없다. ``` --- ## 1. Local files ```text infoseek_train.jsonl infoseek_train_withkb.jsonl infoseek_val.jsonl infoseek_val_withkb.jsonl infoseek_val_qtype.jsonl infoseek_test.jsonl infoseek_human.jsonl infoseek_human_qtype.jsonl ``` --- ## 2. Train Gold entity source: ```text infoseek_train_withkb.jsonl ``` ```text rows / Q-A pairs: 934,048 unique images: 770,602 unique entities: 5,549 missing entity rows: 0 ``` KnowCoL coverage: ```text in KnowCoL entity.txt: 5,549 not in KnowCoL entity.txt: 0 ``` Answer type: ```text list[str] / string-or-time style: 743,065 numerical dict: 190,983 ``` --- ## 3. Validation Gold entity source: ```text infoseek_val_withkb.jsonl ``` Question type source: ```text infoseek_val_qtype.jsonl ``` Overall: ```text rows / Q-A pairs: 73,620 unique images: 37,999 unique entities: 1,794 missing entity rows: 0 ``` KnowCoL coverage: ```text in KnowCoL entity.txt: 1,794 not in KnowCoL entity.txt: 0 ``` Answer type: ```text list[str] / string-or-time style: 57,724 numerical dict: 15,896 ``` Question type: ```text String: 54,319 Numerical: 15,896 Time: 3,405 ``` ### val_unseen_entity ```text rows: 54,964 unique images: 26,278 unique entities: 1,192 KnowCoL coverage: in KnowCoL entity.txt: 1,192 not in KnowCoL entity.txt: 0 answer type: list[str] / string-or-time style: 43,455 numerical dict: 11,509 question type: String: 40,864 Numerical: 11,509 Time: 2,591 ``` ### val_unseen_question ```text rows: 18,656 unique images: 11,727 unique entities: 602 KnowCoL coverage: in KnowCoL entity.txt: 602 not in KnowCoL entity.txt: 0 answer type: list[str] / string-or-time style: 14,269 numerical dict: 4,387 question type: String: 13,455 Numerical: 4,387 Time: 814 ``` --- ## 4. Test Current local status: ```text explicit test_withkb file: not present latest OVEN test files with entity_id: not present ``` Therefore: ```text rows / Q-A pairs: 347,980 unique images: 193,793 gold entity coverage: not reliably available from current local files ``` Only a small subset can be weakly resolved by accidental image-id overlap with labeled OVEN train/val files: ```text resolved rows by image_id overlap: 5,679 missing entity rows: 342,301 resolved unique entities: 41 ``` This is not an official test entity mapping and should not be used as a main coverage claim. Answer type: ```text list[str] / string-or-time style: 268,361 numerical dict: 79,619 ``` Split: ```text test_unseen_entity: rows: 249,079 unique images: 130,517 weakly resolved rows: 4,300 missing entity rows: 244,779 answer type: list[str] / string-or-time style: 194,666 numerical dict: 54,413 test_unseen_question: rows: 98,901 unique images: 63,531 weakly resolved rows: 1,379 missing entity rows: 97,522 answer type: list[str] / string-or-time style: 73,695 numerical dict: 25,206 ``` --- ## 5. Human Current local status: ```text explicit human_withkb file: not present latest OVEN human file with entity_id: not present ``` Therefore: ```text rows / Q-A pairs: 8,931 unique images: 8,884 gold entity coverage: not reliably available from current local files ``` Only a very small subset can be weakly resolved by accidental image-id overlap with labeled OVEN train/val files: ```text resolved rows by image_id overlap: 116 missing entity rows: 8,815 resolved unique entities: 14 ``` This is not an official human entity mapping and should not be used as a main coverage claim. Answer type: ```text list[str] / string-or-time style: 6,551 structured numeric dict: 2,380 ``` Question type from `infoseek_human_qtype.jsonl`: ```text String: 4,049 Time: 2,502 Numerical: 2,380 ``` Split: ```text human_unseen_entity: rows: 5,683 unique images: 5,682 weakly resolved rows: 68 missing entity rows: 5,615 question type: String: 2,600 Time: 1,598 Numerical: 1,485 human_unseen_question: rows: 3,248 unique images: 3,203 weakly resolved rows: 48 missing entity rows: 3,200 question type: String: 1,449 Time: 904 Numerical: 895 ``` --- ## 6. Reliable entity coverage claim Reliable coverage should currently be stated only for train/val: ```text InfoSeek train unique entities: 5,549 InfoSeek val unique entities: 1,794 train/val union: available in raw stats all explicit train/val entities are in KnowCoL entity.txt. ``` Do not claim full test/human entity coverage unless we restore: ```text test_withkb / human_withkb or older OVEN evaluation files that contain gold entity_id or an official image_id -> entity_id mapping. ``` --- ## 7. Interpretation for our framework Usable immediately: ```text train: gold QID available can build entity/fact training data val: gold QID available qtype available can evaluate fact recovery by String / Numerical / Time ``` Not reliable yet: ```text test/human entity/fact coverage ``` For test/human QA evaluation, we can still use the question-answer files as QA benchmarks, but entity-level or fact-level oracle analysis requires restoring gold QID mappings.