InfoSeek statistics
최신 local InfoSeek 파일과 새로 추가된 infoseek_val_qtype.jsonl 기준으로 다시 계산했다.
Raw 계산 결과:
dataset_explanation/infoseek/infoseek_stats_full.json
사용한 KnowCoL entity set:
KnowCoL/knowcol/datasets/wikidata_subgraph_v1/entity.txt
주의:
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
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:
infoseek_train_withkb.jsonl
rows / Q-A pairs: 934,048
unique images: 770,602
unique entities: 5,549
missing entity rows: 0
KnowCoL coverage:
in KnowCoL entity.txt: 5,549
not in KnowCoL entity.txt: 0
Answer type:
list[str] / string-or-time style: 743,065
numerical dict: 190,983
3. Validation
Gold entity source:
infoseek_val_withkb.jsonl
Question type source:
infoseek_val_qtype.jsonl
Overall:
rows / Q-A pairs: 73,620
unique images: 37,999
unique entities: 1,794
missing entity rows: 0
KnowCoL coverage:
in KnowCoL entity.txt: 1,794
not in KnowCoL entity.txt: 0
Answer type:
list[str] / string-or-time style: 57,724
numerical dict: 15,896
Question type:
String: 54,319
Numerical: 15,896
Time: 3,405
val_unseen_entity
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
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:
explicit test_withkb file: not present
latest OVEN test files with entity_id: not present
Therefore:
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:
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:
list[str] / string-or-time style: 268,361
numerical dict: 79,619
Split:
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:
explicit human_withkb file: not present
latest OVEN human file with entity_id: not present
Therefore:
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:
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:
list[str] / string-or-time style: 6,551
structured numeric dict: 2,380
Question type from infoseek_human_qtype.jsonl:
String: 4,049
Time: 2,502
Numerical: 2,380
Split:
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:
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:
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:
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:
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.