metadata
license: mit
configs:
- config_name: chainsawman
data_files:
- split: train
path: chainsawman_dev.jsonl
- split: validation
path: chainsawman_val.jsonl
- split: test
path: chainsawman_test.jsonl
- config_name: kurokonobasuke
data_files:
- split: train
path: kurokonobasuke_dev.jsonl
- split: validation
path: kurokonobasuke_val.jsonl
- split: test
path: kurokonobasuke_test.jsonl
- config_name: onepunch
data_files:
- split: train
path: onepunch_dev.jsonl
- split: validation
path: onepunch_val.jsonl
- split: test
path: onepunch_test.jsonl
- config_name: hellsing
data_files:
- split: train
path: hellsing_dev.jsonl
- split: validation
path: hellsing_val.jsonl
- split: test
path: hellsing_test.jsonl
- config_name: frieren
data_files:
- split: train
path: frieren_dev.jsonl
- split: validation
path: frieren_val.jsonl
- split: test
path: frieren_test.jsonl
- config_name: aot
data_files:
- split: train
path: aot_dev.jsonl
- split: validation
path: aot_val.jsonl
- split: test
path: aot_test.jsonl
- config_name: naruto
data_files:
- split: train
path: naruto_dev.jsonl
- split: validation
path: naruto_val.jsonl
- split: test
path: naruto_test.jsonl
- config_name: dr_stone
data_files:
- split: train
path: dr_stone_dev.jsonl
- split: validation
path: dr_stone_val.jsonl
- split: test
path: dr_stone_test.jsonl
- config_name: gundam_00
data_files:
- split: train
path: gundam_00_dev.jsonl
- split: validation
path: gundam_00_val.jsonl
- split: test
path: gundam_00_test.jsonl
- config_name: darling-in-the-franxx
data_files:
- split: train
path: darling-in-the-franxx_dev.jsonl
- split: validation
path: darling-in-the-franxx_val.jsonl
- split: test
path: darling-in-the-franxx_test.jsonl
- config_name: berserk
data_files:
- split: train
path: berserk_dev.jsonl
- split: validation
path: berserk_val.jsonl
- split: test
path: berserk_test.jsonl
- config_name: evangelion
data_files:
- split: train
path: evangelion_dev.jsonl
- split: validation
path: evangelion_val.jsonl
- split: test
path: evangelion_test.jsonl
- config_name: onepiece
data_files:
- split: train
path: onepiece_dev.jsonl
- split: validation
path: onepiece_val.jsonl
- split: test
path: onepiece_test.jsonl
task_categories:
- question-answering
language:
- en
tags:
- question-answering
- multi-choice
pretty_name: anime understanding dataset
size_categories:
- 1K<n<10K
Anime Understanding Benchmark (WIP)
Evaluate anime knowledge found in existing LLMs. We hope to provide an easy to run evaluation on knowledge understanding in anime/manga. Better understanding in anime/manga knowledge should resulted in task such as waifu role play.
Any suggestion is open in discussion tab.
Currently in the works
[] Eval on popular models such as gpt, hermes, dolphin, llama base model
[] Add more metadata regarding of anime/manga year span
[] Suggestions for more anime choices ideally diverse in terms of year of air and topic diversity.
[] Human inspection for any potential errors