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- This
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ---
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- license: apache-2.0
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- dataset_info:
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- - config_name: Chinese
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- features:
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- - name: question_id
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- dtype: string
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- - name: context
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- dtype: string
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- - name: question
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- dtype: string
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- - name: options
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- dtype: string
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- - name: image_1
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- dtype: image
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- - name: image_2
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- dtype: image
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- - name: image_3
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- dtype: image
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- - name: image_4
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- dtype: image
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- - name: image_5
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- dtype: image
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- - name: image_6
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- dtype: image
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- - name: image_7
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- dtype: image
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- - name: image_type
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- dtype: string
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- - name: answers
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- dtype: string
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- - name: explanation
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- dtype: string
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- - name: topic_difficulty
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- dtype: string
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- - name: question_type
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- dtype: string
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- - name: subfield
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- dtype: string
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- - name: language
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- dtype: string
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- - name: main_question_id
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- dtype: int64
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- - name: sub_question_id
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- dtype: int64
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- - name: ans_image_1
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- dtype: image
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- - name: ans_image_2
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- dtype: image
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- - name: ans_image_3
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- dtype: image
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- - name: ans_image_4
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- dtype: image
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- splits:
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  - name: validation
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- num_bytes: 530067.0
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- num_examples: 19
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  - name: test
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- num_bytes: 10497574.0
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- num_examples: 234
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- download_size: 2710045
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- dataset_size: 11027641.0
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- - config_name: English
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- features:
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- - name: question_id
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- dtype: string
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- - name: context
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- dtype: string
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- - name: question
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- dtype: string
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- - name: options
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- dtype: string
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- - name: image_1
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- dtype: image
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- - name: image_2
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- dtype: image
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- - name: image_3
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- dtype: image
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- - name: image_4
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- dtype: image
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- - name: image_5
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- dtype: image
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- - name: image_6
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- dtype: image
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- - name: image_7
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- dtype: image
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- - name: image_type
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- dtype: string
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- - name: answers
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- dtype: string
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- - name: explanation
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- dtype: string
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- - name: topic_difficulty
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- dtype: string
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- - name: question_type
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- dtype: string
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- - name: subfield
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- dtype: string
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- - name: language
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- dtype: string
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- - name: main_question_id
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- dtype: int64
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- - name: sub_question_id
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- dtype: int64
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- - name: ans_image_1
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- dtype: image
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- - name: ans_image_2
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- dtype: image
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- - name: ans_image_3
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- dtype: image
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- - name: ans_image_4
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- dtype: image
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- splits:
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  - name: validation
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- num_bytes: 19326545.0
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- num_examples: 88
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  - name: test
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- num_bytes: 235713843.904
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- num_examples: 1297
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- download_size: 63592729
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- dataset_size: 255040388.904
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- - config_name: French
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- features:
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- - name: question_id
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- dtype: string
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- - name: context
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- dtype: string
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- - name: question
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- dtype: string
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- - name: options
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- dtype: string
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- - name: image_1
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- dtype: image
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- - name: image_2
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- dtype: image
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- - name: image_3
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- dtype: image
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- - name: image_4
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- dtype: image
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- - name: image_5
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- dtype: image
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- - name: image_6
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- dtype: image
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- - name: image_7
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- dtype: image
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- - name: image_type
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- dtype: string
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- - name: answers
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- dtype: string
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- - name: explanation
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- dtype: string
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- - name: topic_difficulty
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- dtype: string
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- - name: question_type
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- dtype: string
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- - name: subfield
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- dtype: string
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- - name: language
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- dtype: string
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- - name: main_question_id
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- dtype: int64
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- - name: sub_question_id
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- dtype: int64
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- - name: ans_image_1
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- dtype: image
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- - name: ans_image_2
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- dtype: image
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- - name: ans_image_3
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- dtype: image
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- - name: ans_image_4
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- dtype: image
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- splits:
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  - name: validation
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- num_bytes: 1945622.0
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- num_examples: 13
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  - name: test
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- num_bytes: 14026200.0
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- num_examples: 107
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- download_size: 4526380
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- dataset_size: 15971822.0
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- configs:
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- - config_name: Chinese
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- data_files:
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- - split: validation
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- path: Chinese/validation-*
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- - split: test
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- path: Chinese/test-*
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- - config_name: English
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- data_files:
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- - split: validation
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- path: English/validation-*
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- - split: test
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- path: English/test-*
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- - config_name: French
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- data_files:
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- - split: validation
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- path: French/validation-*
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- - split: test
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- path: French/test-*
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- ---
 
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - question-answering
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+ - multiple-choice
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+ language:
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+ - en
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+ - zh
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+ - fr
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+ tags:
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+ - finance
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+ pretty_name: >-
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+ FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question
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+ Answering
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+ ## Introduction
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+ FAMMA dataset consists of 1,758 meticulously collected multimodal questions. The questions encompass three heterogeneous image types - tables, charts and text & math screenshots - and span eight subfields in finance, comprehensively covering topics across major asset classes. Additionally, all the questions are categorized by three difficulty levels — easy, medium, and hard - and are available in three languages — English, Chinese, and French. Furthermore, the questions are divided into two types: multiple-choice and open questions.
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+ The leaderboard is regularly updated and can be accessed at https://famma-bench.github.io/famma/.
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+ ## Dataset Structure
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+ ### features
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+ - question_id: a unique identifier for the question across the whole dataset.
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+ - context: relevant background information related to the question.
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+ - question: the specific query being asked.
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+ - options: the specific query being asked.
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+ - image_1- image_7: directories of images referenced in the context or question.
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+ - image_type: type of the image, e.g., chart, table, screenshot.
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+ - answers: a concise and accurate response. **(non-public on the test set for the moment)**
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+ - explanation:a detailed justification for the answer. **(non-public on the test set for the moment)**
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+ - topic_difficulty: a measure of the question's complexity based on the level of reasoning required.
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+ - question_type: categorized as either multiple-choice or open-ended.
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+ - subfield: the specific area of expertise to which the question belongs, categorized into eight subfields.
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+ - language:the language in which the question text is written.
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+ - main_question_id:a unique identifier for the question within its context; questions with the same context share the same ID.
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+ - sub_question_id:a unique identifier for the question within its corresponding main question.
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+ - ans_image_1 - ans_image_4: **(non-public on the test set for the moment)**
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+
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+ ### dataset splits
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+
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+ Chinese subset
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+ - splits:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: validation
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+ - num_bytes: 530067.0
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+ - num_examples: 19
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  - name: test
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+ - num_bytes: 10497574.0
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+ - num_examples: 234
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+
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+ English subset
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+ - splits:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: validation
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+ - num_bytes: 19326545.0
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+ - num_examples: 88
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  - name: test
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+ - num_bytes: 235713843.904
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+ - num_examples: 1297
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+
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+ French subset
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+ - splits:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: validation
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+ - num_bytes: 1945622.0
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+ - num_examples: 13
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  - name: test
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+ - num_bytes: 14026200.0
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+ - num_examples: 107
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+
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+
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+ ## Citation
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+ If you use FAMMA in your research, please cite our paper as follows:
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+
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+ ```latex
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+ @article{xue2024famma,
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+ title={FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering},
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+ author={Siqiao Xue, Tingting Chen, Fan Zhou, Qingyang Dai, Zhixuan Chu, and Hongyuan Mei},
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+ journal={arXiv preprint arXiv:2410.04526},
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+ year={2024},
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+ url={https://arxiv.org/abs/2410.04526}
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+ }
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+
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+ ```