| --- |
| license: other |
| license_name: mixed-see-licensing-information |
| task_categories: |
| - visual-question-answering |
| - image-text-to-text |
| language: |
| - en |
| - zh |
| tags: |
| - multimodal |
| - vision-language |
| - instruction-tuning |
| - chain-of-thought |
| - sft |
| - ocr |
| - chart |
| - document |
| - grounding |
| - gui |
| size_categories: |
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| pretty_name: Honey-Data-V2 |
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| path: Chart/ArxivQA/train-* |
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| path: Chart/ChartQA/train-* |
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| - config_name: DVQA |
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| - config_name: FigureQA_MathV360K |
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| path: Chart/FigureQA_MathV360K/train-* |
| - config_name: HiTab |
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| path: Chart/HiTab/train-* |
| - config_name: Infographic |
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| path: Chart/Infographic/train-* |
| - config_name: LRV_Chart |
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| path: Chart/LRV_Chart/train-* |
| - config_name: MAVIS_Function |
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| path: Chart/MAVIS_Function/train-* |
| - config_name: MMC_Instruction |
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| path: Chart/MMTab/train-* |
| - config_name: Chart-MapQA_MathV360K |
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| path: Chart/MapQA_MathV360K/train-* |
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| - config_name: SimChart9K |
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| - config_name: Chart-SynMultiImageQA |
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| - config_name: VisText |
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| - config_name: cosyn_diagram_train |
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| - config_name: cosyn_graphic_train |
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| - config_name: lrv_chart_en |
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| - config_name: robut_wikisql_cauldron |
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| - config_name: robut_wtq_cauldron_llava_format |
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| path: Chart/robut_wtq_cauldron_llava_format/train-* |
| - config_name: scitsr_markdown_zh |
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| - config_name: simchart9k_csv_en |
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| - config_name: tabmwp |
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| - config_name: DocReason |
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| - config_name: docreason_en |
| data_files: |
| - split: train |
| path: Document/docreason_en/train-* |
| - config_name: docvqa_en |
| data_files: |
| - split: train |
| path: Document/docvqa_en/train-* |
| - config_name: eaten_passport_zh |
| data_files: |
| - split: train |
| path: Document/eaten_passport_zh/train-* |
| - config_name: fintabnet_markdown_zh |
| data_files: |
| - split: train |
| path: Document/fintabnet_markdown_zh/train-* |
| - config_name: handwriting_forms |
| data_files: |
| - split: train |
| path: Document/handwriting_forms/train-* |
| - config_name: hw_squad |
| data_files: |
| - split: train |
| path: Document/hw_squad/train-* |
| - config_name: Document-infographic_gpt4v |
| data_files: |
| - split: train |
| path: Document/infographic_gpt4v/train-* |
| - config_name: Document-infographic_vqa |
| data_files: |
| - split: train |
| path: Document/infographic_vqa/train-* |
| - config_name: Document-infographic_vqa_llava_format |
| data_files: |
| - split: train |
| path: Document/infographic_vqa_llava_format/train-* |
| - config_name: infovqa_en |
| data_files: |
| - split: train |
| path: Document/infovqa_en/train-* |
| - config_name: llavar_gpt4_20k |
| data_files: |
| - split: train |
| path: Document/llavar_gpt4_20k/train-* |
| - config_name: olmOCR-mix-0225-books |
| data_files: |
| - split: train |
| path: Document/olmOCR-mix-0225-books/train-* |
| - config_name: olmOCR-mix-0225-documents |
| data_files: |
| - split: train |
| path: Document/olmOCR-mix-0225-documents/train-* |
| - config_name: Document-other |
| data_files: |
| - split: train |
| path: Document/other/train-* |
| - config_name: pdfvqa |
| data_files: |
| - split: train |
| path: Document/pdfvqa/train-* |
| - config_name: poie_multi_turn_en |
| data_files: |
| - split: train |
| path: Document/poie_multi_turn_en/train-* |
| - config_name: screen-qa-cleaned |
| data_files: |
| - split: train |
| path: Document/screen-qa-cleaned/train-* |
| - config_name: slidevqa |
| data_files: |
| - split: train |
| path: Document/slidevqa/train-* |
| - config_name: sujet_finance |
| data_files: |
| - split: train |
| path: Document/sujet_finance/train-* |
| - config_name: tat_dqa |
| data_files: |
| - split: train |
| path: Document/tat_dqa/train-* |
| - config_name: ureader |
| data_files: |
| - split: train |
| path: Document/ureader/train-* |
| - config_name: ureader_chart |
| data_files: |
| - split: train |
| path: Document/ureader_chart/train-* |
| - config_name: Document-ureader_kg |
| data_files: |
| - split: train |
| path: Document/ureader_kg/train-* |
| - config_name: ureader_ocr |
| data_files: |
| - split: train |
| path: Document/ureader_ocr/train-* |
| - config_name: visualmrc_cauldron |
| data_files: |
| - split: train |
| path: Document/visualmrc_cauldron/train-* |
| - config_name: vqaonbd |
| data_files: |
| - split: train |
| path: Document/vqaonbd/train-* |
| - config_name: aria_ui_desktop |
| data_files: |
| - split: train |
| path: GUI-Grounding/aria_ui_desktop/train-* |
| - config_name: aria_ui_mobile |
| data_files: |
| - split: train |
| path: GUI-Grounding/aria_ui_mobile/train-* |
| - config_name: aria_ui_web |
| data_files: |
| - split: train |
| path: GUI-Grounding/aria_ui_web/train-* |
| - config_name: groundui |
| data_files: |
| - split: train |
| path: GUI-Grounding/groundui/train-* |
| - config_name: A-OKVQA |
| data_files: |
| - split: train |
| path: General/A-OKVQA/train-* |
| - config_name: ALFWorld |
| data_files: |
| - split: train |
| path: General/ALFWorld/train-* |
| - config_name: ALLaVA |
| data_files: |
| - split: train |
| path: General/ALLaVA/train-* |
| - config_name: ALLaVA-Instruct-LAION-4V_Chinese |
| data_files: |
| - split: train |
| path: General/ALLaVA-Instruct-LAION-4V_Chinese/train-* |
| - config_name: ALLaVA-Instruct-VFLAN-4V_Chinese |
| data_files: |
| - split: train |
| path: General/ALLaVA-Instruct-VFLAN-4V_Chinese/train-* |
| - config_name: ART500K |
| data_files: |
| - split: train |
| path: General/ART500K/train-* |
| - config_name: Birds-to-Words |
| data_files: |
| - split: train |
| path: General/Birds-to-Words/train-* |
| - config_name: Cambrian |
| data_files: |
| - split: train |
| path: General/Cambrian/train-* |
| - config_name: Cambrian_Filter |
| data_files: |
| - split: train |
| path: General/Cambrian_Filter/train-* |
| - config_name: Co-Instruct |
| data_files: |
| - split: train |
| path: General/Co-Instruct/train-* |
| - config_name: DreamSim |
| data_files: |
| - split: train |
| path: General/DreamSim/train-* |
| - config_name: EST-VQA |
| data_files: |
| - split: train |
| path: General/EST-VQA/train-* |
| - config_name: GQA |
| data_files: |
| - split: train |
| path: General/GQA/train-* |
| - config_name: GQA-LLaVA-NeXT |
| data_files: |
| - split: train |
| path: General/GQA-LLaVA-NeXT/train-* |
| - config_name: Hateful_Memes |
| data_files: |
| - split: train |
| path: General/Hateful_Memes/train-* |
| - config_name: IDK |
| data_files: |
| - split: train |
| path: General/IDK/train-* |
| - config_name: General-IconQA_MathV360K |
| data_files: |
| - split: train |
| path: General/IconQA_MathV360K/train-* |
| - config_name: InternVL-SA-1B-Caption |
| data_files: |
| - split: train |
| path: General/InternVL-SA-1B-Caption/train-* |
| - config_name: KVQA |
| data_files: |
| - split: train |
| path: General/KVQA/train-* |
| - config_name: KonIQ-10k |
| data_files: |
| - split: train |
| path: General/KonIQ-10k/train-* |
| - config_name: LLaVA |
| data_files: |
| - split: train |
| path: General/LLaVA/train-* |
| - config_name: LLaVA-NeXT-Data |
| data_files: |
| - split: train |
| path: General/LLaVA-NeXT-Data/train-* |
| - config_name: LRV_Normal |
| data_files: |
| - split: train |
| path: General/LRV_Normal/train-* |
| - config_name: LVIS-InstructV4 |
| data_files: |
| - split: train |
| path: General/LVIS-InstructV4/train-* |
| - config_name: MMChat-Twitter-Post |
| data_files: |
| - split: train |
| path: General/MMChat-Twitter-Post/train-* |
| - config_name: NewYorker_Caption |
| data_files: |
| - split: train |
| path: General/NewYorker_Caption/train-* |
| - config_name: Objects365 |
| data_files: |
| - split: train |
| path: General/Objects365/train-* |
| - config_name: PixMo |
| data_files: |
| - split: train |
| path: General/PixMo/train-* |
| - config_name: SVIT |
| data_files: |
| - split: train |
| path: General/SVIT/train-* |
| - config_name: SVIT_core_150K |
| data_files: |
| - split: train |
| path: General/SVIT_core_150K/train-* |
| - config_name: SVIT_mix_665K |
| data_files: |
| - split: train |
| path: General/SVIT_mix_665K/train-* |
| - config_name: ScanQA |
| data_files: |
| - split: train |
| path: General/ScanQA/train-* |
| - config_name: ShareGPT4V |
| data_files: |
| - split: train |
| path: General/ShareGPT4V/train-* |
| - config_name: ShareGPT4o |
| data_files: |
| - split: train |
| path: General/ShareGPT4o/train-* |
| - config_name: VIST |
| data_files: |
| - split: train |
| path: General/VIST/train-* |
| - config_name: VSR |
| data_files: |
| - split: train |
| path: General/VSR/train-* |
| - config_name: ViQuAE |
| data_files: |
| - split: train |
| path: General/ViQuAE/train-* |
| - config_name: Vision_FLAN |
| data_files: |
| - split: train |
| path: General/Vision_FLAN/train-* |
| - config_name: Visual7W |
| data_files: |
| - split: train |
| path: General/Visual7W/train-* |
| - config_name: General-VizWiz_MathV360K |
| data_files: |
| - split: train |
| path: General/VizWiz_MathV360K/train-* |
| - config_name: WildVision |
| data_files: |
| - split: train |
| path: General/WildVision/train-* |
| - config_name: alfworldgpt |
| data_files: |
| - split: train |
| path: General/alfworldgpt/train-* |
| - config_name: alfworldgpt_45k |
| data_files: |
| - split: train |
| path: General/alfworldgpt_45k/train-* |
| - config_name: allava |
| data_files: |
| - split: train |
| path: General/allava/train-* |
| - config_name: allava-laion-500k |
| data_files: |
| - split: train |
| path: General/allava-laion-500k/train-* |
| - config_name: allava-vflan-200k |
| data_files: |
| - split: train |
| path: General/allava-vflan-200k/train-* |
| - config_name: allava_instruct_gpt4v_en |
| data_files: |
| - split: train |
| path: General/allava_instruct_gpt4v_en/train-* |
| - config_name: allava_instruct_gpt4v_zh |
| data_files: |
| - split: train |
| path: General/allava_instruct_gpt4v_zh/train-* |
| - config_name: allava_instruct_laion4v |
| data_files: |
| - split: train |
| path: General/allava_instruct_laion4v/train-* |
| - config_name: allava_instruct_vflan4v |
| data_files: |
| - split: train |
| path: General/allava_instruct_vflan4v/train-* |
| - config_name: allava_writing_gpt4o_zh |
| data_files: |
| - split: train |
| path: General/allava_writing_gpt4o_zh/train-* |
| - config_name: aokvqa_cauldron_llava_format |
| data_files: |
| - split: train |
| path: General/aokvqa_cauldron_llava_format/train-* |
| - config_name: art500k_en |
| data_files: |
| - split: train |
| path: General/art500k_en/train-* |
| - config_name: cambrain_multiturn_gpt4o_en |
| data_files: |
| - split: train |
| path: General/cambrain_multiturn_gpt4o_en/train-* |
| - config_name: cambrian_filtered |
| data_files: |
| - split: train |
| path: General/cambrian_filtered/train-* |
| - config_name: chinesememe |
| data_files: |
| - split: train |
| path: General/chinesememe/train-* |
| - config_name: coco_colors |
| data_files: |
| - split: train |
| path: General/coco_colors/train-* |
| - config_name: coco_negative_gpt4o_en |
| data_files: |
| - split: train |
| path: General/coco_negative_gpt4o_en/train-* |
| - config_name: drivelm |
| data_files: |
| - split: train |
| path: General/drivelm/train-* |
| - config_name: estvqa_en |
| data_files: |
| - split: train |
| path: General/estvqa_en/train-* |
| - config_name: google_landmarks |
| data_files: |
| - split: train |
| path: General/google_landmarks/train-* |
| - config_name: gpt-4o |
| data_files: |
| - split: train |
| path: General/gpt-4o/train-* |
| - config_name: gpt4gen_rd_boxcot_en |
| data_files: |
| - split: train |
| path: General/gpt4gen_rd_boxcot_en/train-* |
| - config_name: gpt77k |
| data_files: |
| - split: train |
| path: General/gpt77k/train-* |
| - config_name: gqa_en |
| data_files: |
| - split: train |
| path: General/gqa_en/train-* |
| - config_name: hateful_memes_cauldron_llava_format |
| data_files: |
| - split: train |
| path: General/hateful_memes_cauldron_llava_format/train-* |
| - config_name: idefics375k |
| data_files: |
| - split: train |
| path: General/idefics375k/train-* |
| - config_name: idk_11k |
| data_files: |
| - split: train |
| path: General/idk_11k/train-* |
| - config_name: image_textualization(filtered) |
| data_files: |
| - split: train |
| path: General/image_textualization(filtered)/train-* |
| - config_name: inat_train2018_merge_en |
| data_files: |
| - split: train |
| path: General/inat_train2018_merge_en/train-* |
| - config_name: indoor_qa |
| data_files: |
| - split: train |
| path: General/indoor_qa/train-* |
| - config_name: internvl_sa1b_caption_gpt4o_review_en |
| data_files: |
| - split: train |
| path: General/internvl_sa1b_caption_gpt4o_review_en/train-* |
| - config_name: koniq10k_en |
| data_files: |
| - split: train |
| path: General/koniq10k_en/train-* |
| - config_name: kvqa_en |
| data_files: |
| - split: train |
| path: General/kvqa_en/train-* |
| - config_name: laion_gpt4v |
| data_files: |
| - split: train |
| path: General/laion_gpt4v/train-* |
| - config_name: llava_instruct_300k |
| data_files: |
| - split: train |
| path: General/llava_instruct_300k/train-* |
| - config_name: lnqa |
| data_files: |
| - split: train |
| path: General/lnqa/train-* |
| - config_name: localized_narratives |
| data_files: |
| - split: train |
| path: General/localized_narratives/train-* |
| - config_name: lrv_normal_filtered |
| data_files: |
| - split: train |
| path: General/lrv_normal_filtered/train-* |
| - config_name: lvis_instruct4v |
| data_files: |
| - split: train |
| path: General/lvis_instruct4v/train-* |
| - config_name: lvis_instruct4v_220k |
| data_files: |
| - split: train |
| path: General/lvis_instruct4v_220k/train-* |
| - config_name: memotion |
| data_files: |
| - split: train |
| path: General/memotion/train-* |
| - config_name: mmevol |
| data_files: |
| - split: train |
| path: General/mmevol/train-* |
| - config_name: mmsoc_memotion |
| data_files: |
| - split: train |
| path: General/mmsoc_memotion/train-* |
| - config_name: newyorker_caption_en |
| data_files: |
| - split: train |
| path: General/newyorker_caption_en/train-* |
| - config_name: nlvr2 |
| data_files: |
| - split: train |
| path: General/nlvr2/train-* |
| - config_name: objects365_qa_en |
| data_files: |
| - split: train |
| path: General/objects365_qa_en/train-* |
| - config_name: okvqa_en |
| data_files: |
| - split: train |
| path: General/okvqa_en/train-* |
| - config_name: pixmo-cap-qa |
| data_files: |
| - split: train |
| path: General/pixmo-cap-qa/train-* |
| - config_name: pixmo_ask_train |
| data_files: |
| - split: train |
| path: General/pixmo_ask_train/train-* |
| - config_name: pixmo_point_train |
| data_files: |
| - split: train |
| path: General/pixmo_point_train/train-* |
| - config_name: scienceqa_nona_context |
| data_files: |
| - split: train |
| path: General/scienceqa_nona_context/train-* |
| - config_name: screen2words |
| data_files: |
| - split: train |
| path: General/screen2words/train-* |
| - config_name: screenqa |
| data_files: |
| - split: train |
| path: General/screenqa/train-* |
| - config_name: sharegpt4o |
| data_files: |
| - split: train |
| path: General/sharegpt4o/train-* |
| - config_name: sharegpt4v |
| data_files: |
| - split: train |
| path: General/sharegpt4v/train-* |
| - config_name: sharegpt4v_coco |
| data_files: |
| - split: train |
| path: General/sharegpt4v_coco/train-* |
| - config_name: sharegpt4v_instruct_gpt4-vision_cap100k |
| data_files: |
| - split: train |
| path: General/sharegpt4v_instruct_gpt4-vision_cap100k/train-* |
| - config_name: sharegpt4v_knowledge |
| data_files: |
| - split: train |
| path: General/sharegpt4v_knowledge/train-* |
| - config_name: sharegpt4v_sam |
| data_files: |
| - split: train |
| path: General/sharegpt4v_sam/train-* |
| - config_name: sketchyvqa |
| data_files: |
| - split: train |
| path: General/sketchyvqa/train-* |
| - config_name: spark |
| data_files: |
| - split: train |
| path: General/spark/train-* |
| - config_name: spatialsense |
| data_files: |
| - split: train |
| path: General/spatialsense/train-* |
| - config_name: spot_the_diff |
| data_files: |
| - split: train |
| path: General/spot_the_diff/train-* |
| - config_name: General-st_vqa_cauldron_llava_format |
| data_files: |
| - split: train |
| path: General/st_vqa_cauldron_llava_format/train-* |
| - config_name: stvqa_en |
| data_files: |
| - split: train |
| path: General/stvqa_en/train-* |
| - config_name: textvqa_en |
| data_files: |
| - split: train |
| path: General/textvqa_en/train-* |
| - config_name: tqa_en |
| data_files: |
| - split: train |
| path: General/tqa_en/train-* |
| - config_name: unknown |
| data_files: |
| - split: train |
| path: General/unknown/train-* |
| - config_name: vflan_cleaned |
| data_files: |
| - split: train |
| path: General/vflan_cleaned/train-* |
| - config_name: viquae |
| data_files: |
| - split: train |
| path: General/viquae/train-* |
| - config_name: viquae_en |
| data_files: |
| - split: train |
| path: General/viquae_en/train-* |
| - config_name: vision_flan(filtered) |
| data_files: |
| - split: train |
| path: General/vision_flan(filtered)/train-* |
| - config_name: vision_flan_filtered |
| data_files: |
| - split: train |
| path: General/vision_flan_filtered/train-* |
| - config_name: visual7w_cauldron_llava_format |
| data_files: |
| - split: train |
| path: General/visual7w_cauldron_llava_format/train-* |
| - config_name: visual7w_en |
| data_files: |
| - split: train |
| path: General/visual7w_en/train-* |
| - config_name: General-vqarad_cauldron_llava_format |
| data_files: |
| - split: train |
| path: General/vqarad_cauldron_llava_format/train-* |
| - config_name: vsr_cauldron_llava_format |
| data_files: |
| - split: train |
| path: General/vsr_cauldron_llava_format/train-* |
| - config_name: vsr_en |
| data_files: |
| - split: train |
| path: General/vsr_en/train-* |
| - config_name: wildvision_gpt4o_en |
| data_files: |
| - split: train |
| path: General/wildvision_gpt4o_en/train-* |
| - config_name: wildvision_gpt4v_to_gpt4o_en |
| data_files: |
| - split: train |
| path: General/wildvision_gpt4v_to_gpt4o_en/train-* |
| - config_name: yesbut |
| data_files: |
| - split: train |
| path: General/yesbut/train-* |
| - config_name: CLEVR |
| data_files: |
| - split: train |
| path: Grounding/CLEVR/train-* |
| - config_name: CLEVR-Math_MathV360K |
| data_files: |
| - split: train |
| path: Grounding/CLEVR-Math_MathV360K/train-* |
| - config_name: CLEVR_Math |
| data_files: |
| - split: train |
| path: Grounding/CLEVR_Math/train-* |
| - config_name: IconQA |
| data_files: |
| - split: train |
| path: Grounding/IconQA/train-* |
| - config_name: Grounding-IconQA_MathV360K |
| data_files: |
| - split: train |
| path: Grounding/IconQA_MathV360K/train-* |
| - config_name: MathV360K_VQA-AS |
| data_files: |
| - split: train |
| path: Grounding/MathV360K_VQA-AS/train-* |
| - config_name: MovieNet |
| data_files: |
| - split: train |
| path: Grounding/MovieNet/train-* |
| - config_name: Super-CLEVR |
| data_files: |
| - split: train |
| path: Grounding/Super-CLEVR/train-* |
| - config_name: Super-CLEVR_MathV360K |
| data_files: |
| - split: train |
| path: Grounding/Super-CLEVR_MathV360K/train-* |
| - config_name: TQA |
| data_files: |
| - split: train |
| path: Grounding/TQA/train-* |
| - config_name: TallyQA |
| data_files: |
| - split: train |
| path: Grounding/TallyQA/train-* |
| - config_name: VisualGenome-LLaVA-NeXT |
| data_files: |
| - split: train |
| path: Grounding/VisualGenome-LLaVA-NeXT/train-* |
| - config_name: clevr_700k |
| data_files: |
| - split: train |
| path: Grounding/clevr_700k/train-* |
| - config_name: coco_rem_en_zh |
| data_files: |
| - split: train |
| path: Grounding/coco_rem_en_zh/train-* |
| - config_name: ctw |
| data_files: |
| - split: train |
| path: Grounding/ctw/train-* |
| - config_name: fsc147_train_en |
| data_files: |
| - split: train |
| path: Grounding/fsc147_train_en/train-* |
| - config_name: iconqa |
| data_files: |
| - split: train |
| path: Grounding/iconqa/train-* |
| - config_name: iconqa_cauldron_llava_format |
| data_files: |
| - split: train |
| path: Grounding/iconqa_cauldron_llava_format/train-* |
| - config_name: movienet_en |
| data_files: |
| - split: train |
| path: Grounding/movienet_en/train-* |
| - config_name: objects365_qa |
| data_files: |
| - split: train |
| path: Grounding/objects365_qa/train-* |
| - config_name: oodvqa |
| data_files: |
| - split: train |
| path: Grounding/oodvqa/train-* |
| - config_name: Grounding-other |
| data_files: |
| - split: train |
| path: Grounding/other/train-* |
| - config_name: tallyqa |
| data_files: |
| - split: train |
| path: Grounding/tallyqa/train-* |
| - config_name: tallyqa_cauldron_llava_format |
| data_files: |
| - split: train |
| path: Grounding/tallyqa_cauldron_llava_format/train-* |
| - config_name: tallyqa_coco_en |
| data_files: |
| - split: train |
| path: Grounding/tallyqa_coco_en/train-* |
| - config_name: tallyqa_vg_en |
| data_files: |
| - split: train |
| path: Grounding/tallyqa_vg_en/train-* |
| - config_name: tqa_cauldron_llava_format |
| data_files: |
| - split: train |
| path: Grounding/tqa_cauldron_llava_format/train-* |
| - config_name: ArXiv_OCR |
| data_files: |
| - split: train |
| path: OCR/ArXiv_OCR/train-* |
| - config_name: CTW |
| data_files: |
| - split: train |
| path: OCR/CTW/train-* |
| - config_name: Chrome-Writing |
| data_files: |
| - split: train |
| path: OCR/Chrome-Writing/train-* |
| - config_name: HME |
| data_files: |
| - split: train |
| path: OCR/HME/train-* |
| - config_name: IAM |
| data_files: |
| - split: train |
| path: OCR/IAM/train-* |
| - config_name: ICDAR-LSVT-zh |
| data_files: |
| - split: train |
| path: OCR/ICDAR-LSVT-zh/train-* |
| - config_name: ICDAR2017 |
| data_files: |
| - split: train |
| path: OCR/ICDAR2017/train-* |
| - config_name: ICDAR2019 |
| data_files: |
| - split: train |
| path: OCR/ICDAR2019/train-* |
| - config_name: IIIT_5K |
| data_files: |
| - split: train |
| path: OCR/IIIT_5K/train-* |
| - config_name: K12_Printing |
| data_files: |
| - split: train |
| path: OCR/K12_Printing/train-* |
| - config_name: MTWI_zh |
| data_files: |
| - split: train |
| path: OCR/MTWI_zh/train-* |
| - config_name: Orand-Car-A |
| data_files: |
| - split: train |
| path: OCR/Orand-Car-A/train-* |
| - config_name: ReCTs |
| data_files: |
| - split: train |
| path: OCR/ReCTs/train-* |
| - config_name: Rendered_Text |
| data_files: |
| - split: train |
| path: OCR/Rendered_Text/train-* |
| - config_name: Sroie |
| data_files: |
| - split: train |
| path: OCR/Sroie/train-* |
| - config_name: TextOCR |
| data_files: |
| - split: train |
| path: OCR/TextOCR/train-* |
| - config_name: VCR-Wiki |
| data_files: |
| - split: train |
| path: OCR/VCR-Wiki/train-* |
| - config_name: arxiv_ocr_train |
| data_files: |
| - split: train |
| path: OCR/arxiv_ocr_train/train-* |
| - config_name: bentham |
| data_files: |
| - split: train |
| path: OCR/bentham/train-* |
| - config_name: captcha |
| data_files: |
| - split: train |
| path: OCR/captcha/train-* |
| - config_name: ctw_zh |
| data_files: |
| - split: train |
| path: OCR/ctw_zh/train-* |
| - config_name: hme100k |
| data_files: |
| - split: train |
| path: OCR/hme100k/train-* |
| - config_name: icdar2017_rctw17_zh |
| data_files: |
| - split: train |
| path: OCR/icdar2017_rctw17_zh/train-* |
| - config_name: icdar2017_rects_zh |
| data_files: |
| - split: train |
| path: OCR/icdar2017_rects_zh/train-* |
| - config_name: icdar2019_art_task1_3_zh |
| data_files: |
| - split: train |
| path: OCR/icdar2019_art_task1_3_zh/train-* |
| - config_name: icdar_lsvt_zh |
| data_files: |
| - split: train |
| path: OCR/icdar_lsvt_zh/train-* |
| - config_name: imgur5k |
| data_files: |
| - split: train |
| path: OCR/imgur5k/train-* |
| - config_name: invoices_receipts |
| data_files: |
| - split: train |
| path: OCR/invoices_receipts/train-* |
| - config_name: k12_printing |
| data_files: |
| - split: train |
| path: OCR/k12_printing/train-* |
| - config_name: latex_handwritten |
| data_files: |
| - split: train |
| path: OCR/latex_handwritten/train-* |
| - config_name: latexformulas |
| data_files: |
| - split: train |
| path: OCR/latexformulas/train-* |
| - config_name: mathwriting-google |
| data_files: |
| - split: train |
| path: OCR/mathwriting-google/train-* |
| - config_name: mtwi_zh |
| data_files: |
| - split: train |
| path: OCR/mtwi_zh/train-* |
| - config_name: ocrvqa |
| data_files: |
| - split: train |
| path: OCR/ocrvqa/train-* |
| - config_name: sroie |
| data_files: |
| - split: train |
| path: OCR/sroie/train-* |
| - config_name: svrd |
| data_files: |
| - split: train |
| path: OCR/svrd/train-* |
| - config_name: synth_ocr_fanti_regular_zh |
| data_files: |
| - split: train |
| path: OCR/synth_ocr_fanti_regular_zh/train-* |
| - config_name: synthdog |
| data_files: |
| - split: train |
| path: OCR/synthdog/train-* |
| - config_name: tal_ocr_eng |
| data_files: |
| - split: train |
| path: OCR/tal_ocr_eng/train-* |
| - config_name: textvqa_train_format |
| data_files: |
| - split: train |
| path: OCR/textvqa_train_format/train-* |
| - config_name: vcr_wiki_en_easy |
| data_files: |
| - split: train |
| path: OCR/vcr_wiki_en_easy/train-* |
| - config_name: vcr_wiki_en_hard |
| data_files: |
| - split: train |
| path: OCR/vcr_wiki_en_hard/train-* |
| - config_name: vcr_wiki_zh_easy |
| data_files: |
| - split: train |
| path: OCR/vcr_wiki_zh_easy/train-* |
| - config_name: vcr_wiki_zh_hard |
| data_files: |
| - split: train |
| path: OCR/vcr_wiki_zh_hard/train-* |
| - config_name: wordart |
| data_files: |
| - split: train |
| path: OCR/wordart/train-* |
| - config_name: AI2D |
| data_files: |
| - split: train |
| path: STEM/AI2D/train-* |
| - config_name: CMM-Math |
| data_files: |
| - split: train |
| path: STEM/CMM-Math/train-* |
| - config_name: STEM-CoSyn |
| data_files: |
| - split: train |
| path: STEM/CoSyn/train-* |
| - config_name: STEM-CoSyn_400k |
| data_files: |
| - split: train |
| path: STEM/CoSyn_400k/train-* |
| - config_name: GEOS_MathV360K |
| data_files: |
| - split: train |
| path: STEM/GEOS_MathV360K/train-* |
| - config_name: Geo170K |
| data_files: |
| - split: train |
| path: STEM/Geo170K/train-* |
| - config_name: GeoQA+ |
| data_files: |
| - split: train |
| path: STEM/GeoQA+/train-* |
| - config_name: GeoQA+_MathV360K |
| data_files: |
| - split: train |
| path: STEM/GeoQA+_MathV360K/train-* |
| - config_name: GeomVerse |
| data_files: |
| - split: train |
| path: STEM/GeomVerse/train-* |
| - config_name: Geometry3K |
| data_files: |
| - split: train |
| path: STEM/Geometry3K/train-* |
| - config_name: Geometry3K_MathV360K |
| data_files: |
| - split: train |
| path: STEM/Geometry3K_MathV360K/train-* |
| - config_name: STEM-IconQA_MathV360K |
| data_files: |
| - split: train |
| path: STEM/IconQA_MathV360K/train-* |
| - config_name: InterGPS |
| data_files: |
| - split: train |
| path: STEM/InterGPS/train-* |
| - config_name: MAVIS-Metagen |
| data_files: |
| - split: train |
| path: STEM/MAVIS-Metagen/train-* |
| - config_name: MMChem |
| data_files: |
| - split: train |
| path: STEM/MMChem/train-* |
| - config_name: MapQA |
| data_files: |
| - split: train |
| path: STEM/MapQA/train-* |
| - config_name: STEM-MapQA_MathV360K |
| data_files: |
| - split: train |
| path: STEM/MapQA_MathV360K/train-* |
| - config_name: MathV360K_TQA |
| data_files: |
| - split: train |
| path: STEM/MathV360K_TQA/train-* |
| - config_name: MathV360K_VQA-RAD |
| data_files: |
| - split: train |
| path: STEM/MathV360K_VQA-RAD/train-* |
| - config_name: MetaMathQA |
| data_files: |
| - split: train |
| path: STEM/MetaMathQA/train-* |
| - config_name: PMC-VQA |
| data_files: |
| - split: train |
| path: STEM/PMC-VQA/train-* |
| - config_name: PMC-VQA_MathV360K |
| data_files: |
| - split: train |
| path: STEM/PMC-VQA_MathV360K/train-* |
| - config_name: PathVQA |
| data_files: |
| - split: train |
| path: STEM/PathVQA/train-* |
| - config_name: RAVEN |
| data_files: |
| - split: train |
| path: STEM/RAVEN/train-* |
| - config_name: ScienceQA |
| data_files: |
| - split: train |
| path: STEM/ScienceQA/train-* |
| - config_name: STEM-SynMultiImageQA |
| data_files: |
| - split: train |
| path: STEM/SynMultiImageQA/train-* |
| - config_name: SynthCodeNet |
| data_files: |
| - split: train |
| path: STEM/SynthCodeNet/train-* |
| - config_name: SynthFormulaNet |
| data_files: |
| - split: train |
| path: STEM/SynthFormulaNet/train-* |
| - config_name: UniGeo |
| data_files: |
| - split: train |
| path: STEM/UniGeo/train-* |
| - config_name: UniGeo_MathV360K |
| data_files: |
| - split: train |
| path: STEM/UniGeo_MathV360K/train-* |
| - config_name: VQA-RAD |
| data_files: |
| - split: train |
| path: STEM/VQA-RAD/train-* |
| - config_name: VisualWebInstruct |
| data_files: |
| - split: train |
| path: STEM/VisualWebInstruct/train-* |
| - config_name: VisualWebInstruct_filtered |
| data_files: |
| - split: train |
| path: STEM/VisualWebInstruct_filtered/train-* |
| - config_name: VizWiz |
| data_files: |
| - split: train |
| path: STEM/VizWiz/train-* |
| - config_name: STEM-VizWiz_MathV360K |
| data_files: |
| - split: train |
| path: STEM/VizWiz_MathV360K/train-* |
| - config_name: WebSight |
| data_files: |
| - split: train |
| path: STEM/WebSight/train-* |
| - config_name: ai2d_cap_gpt4o_en |
| data_files: |
| - split: train |
| path: STEM/ai2d_cap_gpt4o_en/train-* |
| - config_name: ai2d_cauldron_llava_format |
| data_files: |
| - split: train |
| path: STEM/ai2d_cauldron_llava_format/train-* |
| - config_name: ai2d_cot_gpt4o_en |
| data_files: |
| - split: train |
| path: STEM/ai2d_cot_gpt4o_en/train-* |
| - config_name: ai2d_en |
| data_files: |
| - split: train |
| path: STEM/ai2d_en/train-* |
| - config_name: ai2d_gpt4v |
| data_files: |
| - split: train |
| path: STEM/ai2d_gpt4v/train-* |
| - config_name: ai2d_internvl |
| data_files: |
| - split: train |
| path: STEM/ai2d_internvl/train-* |
| - config_name: cmm_math_cot_zh |
| data_files: |
| - split: train |
| path: STEM/cmm_math_cot_zh/train-* |
| - config_name: cosyn_chemical_train |
| data_files: |
| - split: train |
| path: STEM/cosyn_chemical_train/train-* |
| - config_name: cosyn_circuit_train |
| data_files: |
| - split: train |
| path: STEM/cosyn_circuit_train/train-* |
| - config_name: cosyn_math_train |
| data_files: |
| - split: train |
| path: STEM/cosyn_math_train/train-* |
| - config_name: cosyn_music_train |
| data_files: |
| - split: train |
| path: STEM/cosyn_music_train/train-* |
| - config_name: datik |
| data_files: |
| - split: train |
| path: STEM/datik/train-* |
| - config_name: datikz |
| data_files: |
| - split: train |
| path: STEM/datikz/train-* |
| - config_name: geo170k |
| data_files: |
| - split: train |
| path: STEM/geo170k/train-* |
| - config_name: geo170k_align |
| data_files: |
| - split: train |
| path: STEM/geo170k_align/train-* |
| - config_name: geo170k_qa |
| data_files: |
| - split: train |
| path: STEM/geo170k_qa/train-* |
| - config_name: geo3k |
| data_files: |
| - split: train |
| path: STEM/geo3k/train-* |
| - config_name: geomverse |
| data_files: |
| - split: train |
| path: STEM/geomverse/train-* |
| - config_name: geomverse_cauldron |
| data_files: |
| - split: train |
| path: STEM/geomverse_cauldron/train-* |
| - config_name: geoqa_plus_en |
| data_files: |
| - split: train |
| path: STEM/geoqa_plus_en/train-* |
| - config_name: intergps_cauldron_llava_format |
| data_files: |
| - split: train |
| path: STEM/intergps_cauldron_llava_format/train-* |
| - config_name: mapqa_cauldron_llava_format |
| data_files: |
| - split: train |
| path: STEM/mapqa_cauldron_llava_format/train-* |
| - config_name: mathvision_3k |
| data_files: |
| - split: train |
| path: STEM/mathvision_3k/train-* |
| - config_name: mavis_math |
| data_files: |
| - split: train |
| path: STEM/mavis_math/train-* |
| - config_name: mavis_math_geometry_caption_to_question_en |
| data_files: |
| - split: train |
| path: STEM/mavis_math_geometry_caption_to_question_en/train-* |
| - config_name: mavis_math_metagen |
| data_files: |
| - split: train |
| path: STEM/mavis_math_metagen/train-* |
| - config_name: mavis_math_rule_geo |
| data_files: |
| - split: train |
| path: STEM/mavis_math_rule_geo/train-* |
| - config_name: metamathqa_en |
| data_files: |
| - split: train |
| path: STEM/metamathqa_en/train-* |
| - config_name: metamathqa_ocr_en |
| data_files: |
| - split: train |
| path: STEM/metamathqa_ocr_en/train-* |
| - config_name: mm_chem_exam_single_image_zh |
| data_files: |
| - split: train |
| path: STEM/mm_chem_exam_single_image_zh/train-* |
| - config_name: mm_chem_ocr_smiles_gpt4o_zh |
| data_files: |
| - split: train |
| path: STEM/mm_chem_ocr_smiles_gpt4o_zh/train-* |
| - config_name: mmc_instruct |
| data_files: |
| - split: train |
| path: STEM/mmc_instruct/train-* |
| - config_name: STEM-other |
| data_files: |
| - split: train |
| path: STEM/other/train-* |
| - config_name: pathvqa |
| data_files: |
| - split: train |
| path: STEM/pathvqa/train-* |
| - config_name: pathvqa_32k |
| data_files: |
| - split: train |
| path: STEM/pathvqa_32k/train-* |
| - config_name: pmc_vqa(mathv360k) |
| data_files: |
| - split: train |
| path: STEM/pmc_vqa(mathv360k)/train-* |
| - config_name: pmc_vqa_en |
| data_files: |
| - split: train |
| path: STEM/pmc_vqa_en/train-* |
| - config_name: raven |
| data_files: |
| - split: train |
| path: STEM/raven/train-* |
| - config_name: raven_cauldron |
| data_files: |
| - split: train |
| path: STEM/raven_cauldron/train-* |
| - config_name: scienceqa_cauldron_llava_format |
| data_files: |
| - split: train |
| path: STEM/scienceqa_cauldron_llava_format/train-* |
| - config_name: scienceqa_choice_aug_en |
| data_files: |
| - split: train |
| path: STEM/scienceqa_choice_aug_en/train-* |
| - config_name: study_com_en |
| data_files: |
| - split: train |
| path: STEM/study_com_en/train-* |
| - config_name: visualwebinstruct(filtered) |
| data_files: |
| - split: train |
| path: STEM/visualwebinstruct(filtered)/train-* |
| - config_name: visualwebinstruct_si |
| data_files: |
| - split: train |
| path: STEM/visualwebinstruct_si/train-* |
| - config_name: STEM-vqarad_cauldron_llava_format |
| data_files: |
| - split: train |
| path: STEM/vqarad_cauldron_llava_format/train-* |
| - config_name: websight |
| data_files: |
| - split: train |
| path: STEM/websight/train-* |
| - config_name: websight_cauldron |
| data_files: |
| - split: train |
| path: STEM/websight_cauldron/train-* |
| --- |
| |
| # Honey-Data-V2 |
|
|
| [[🏠 Homepage](https://open-bee.github.io/)] [[📖 arXiv (conference version)](https://arxiv.org/abs/2510.13795)] [[🤗 Bee models & datasets](https://huggingface.co/collections/Open-Bee/bee-8b-68ecbf10417810d90fbd9995)] [[🍯 Honey-Data-15M](https://huggingface.co/datasets/Open-Bee/Honey-Data-15M)] [[💻 Code](https://github.com/orgs/Open-Bee/repositories)] |
|
|
| **Honey-Data-V2 is the corpus of the journal version of Bee**, *Bee: A High-Quality Corpus and Full-Stack |
| Suite for End-to-End Training of Fully Open MLLMs*, accepted to *Computational Visual Media*. The |
| conference version (ICLR 2026) released [Honey-Data-15M](https://huggingface.co/datasets/Open-Bee/Honey-Data-15M) |
| and the [Bee-8B](https://huggingface.co/collections/Open-Bee/bee-8b-68ecbf10417810d90fbd9995) models trained |
| on it. The journal version scales the corpus up by reapplying the same curation pipeline, HoneyPipe, at a |
| substantially larger scale. |
|
|
| Honey-Data-V2 is a multimodal supervised fine-tuning corpus of **44.3M samples comprising 100.3M QA pairs**. |
| It is stored as **19,707,852 image groups** carrying **44,295,078 conversations**, spread over 8 task |
| categories and 420 subsets (5.81 TB). Long chain-of-thought covers 17.9% of the samples (7.9M, against 2.9M |
| in Honey-Data-15M). |
|
|
| > The released Bee-8B checkpoints, and all results reported in the paper, were trained on Honey-Data-15M. |
| > Evaluating models trained on Honey-Data-V2 is left for future work. |
|
|
| ## What is new compared with Honey-Data-15M |
|
|
| Honey-Data-V2 is not built from scratch. It extends Honey-Data-15M in three ways, all executed with the |
| existing operators of DataStudio: |
|
|
| - **Re-curation of the existing pool.** Acting on community defect reports, samples whose final turn |
| carries no answer were removed, and 492.6K grounding instructions were rewritten to state their coordinate |
| convention up front. 1.8M machine-recaptioning samples were dropped, because they dominated by volume while |
| adding little instruction-following signal. Image placeholders were canonicalized, and degenerate generations |
| (unpaired reasoning tags, repetition collapse, placeholder leakage) were rejected. |
| - **Multi-model rollout.** On top of the original annotation pass, two further independent rollouts answered |
| the same instructions with an upgraded model stack. Every verified answer is kept, so an instruction carries |
| one, two or three independently produced answers. Over the overlapping subset, two answers to the same |
| instruction agree verbatim in only 0.00%–0.89% of cases. |
| - **New source incorporation.** The [FineVision](https://huggingface.co/datasets/HuggingFaceM4/FineVision) |
| datasets absent from Honey-Data-15M, together with Molmo2-SynMultiImageQA, ChartVerse and Aria-UI, were passed |
| through the same pipeline rather than concatenated as-is. Sources whose answers are already determinate, such |
| as OCR transcription and box-level grounding, were filtered but not rewritten. |
|
|
| | lineage | samples | long CoT | |
| |---|---:|---:| |
| | re-curated Honey-Data-15M pool (rollout passes 1 / 2 / 3: 9.6M / 12.8M / 7.0M) | 29.4M | 15.5% | |
| | newly incorporated sources | 14.9M | 22.6% | |
| | **Honey-Data-V2 total** | **44.3M** | **17.9%** | |
|
|
| | role | Honey-Data-15M | Honey-Data-V2 | |
| |---|---|---| |
| | short CoT | Qwen2.5-VL-72B/32B | Qwen3-VL-235B-A22B-Instruct, Kimi-K2.5 | |
| | long CoT | proprietary MLLMs | Qwen3-VL-235B-A22B-Thinking, Doubao-Thinking, Kimi-K2.5 | |
| | verification | Qwen2.5-VL-72B | Qwen3-235B-A22B-Instruct | |
| | GUI grounding | – | MAI-UI-8B | |
|
|
| ## One record is one image group |
|
|
| Unlike the usual one-row-per-conversation layout, a record here collects **every conversation that |
| refers to the same image**. The image bytes are therefore stored once, no matter how many dialogues |
| discuss it. Across the corpus this is the difference between 19,708,047 stored images and the |
| 44,295,078 conversations that use them. |
|
|
| ```python |
| from datasets import load_dataset, get_dataset_config_names |
| |
| subsets = get_dataset_config_names("HoneyDataV2/Honey-Data-V2") |
| ds = load_dataset("HoneyDataV2/Honey-Data-V2", subsets[0], split="train") |
| |
| rec = ds[0] |
| rec["images"][0] # a PIL image |
| len(rec["data"]) # how many dialogues share it |
| rec["data"][0]["messages"] # [{'from': 'human', 'value': ...}, {'from': 'gpt', 'value': ...}] |
| rec["data"][0]["provenance"] # which model wrote and which verified this answer |
| ``` |
|
|
| ## Image encoding |
|
|
| Images are stored as **lossless WebP**. Where the source was already JPEG, or |
| where WebP came out larger than the original, the original bytes are kept |
| untouched. WebP holds the same pixels as the PNGs it replaces in roughly 60% of |
| the bytes. Decoding is transparent: `datasets` returns PIL images either way. |
|
|
| For RGBA images the alpha channel is preserved exactly and RGB is preserved |
| wherever alpha > 0. PNG stores arbitrary colour under fully transparent pixels |
| and WebP does not carry it over; no reader can observe those values. |
|
|
| ### Record fields |
|
|
| | column | type | meaning | |
| |---|---|---| |
| | `id` | string | identifier of the image group | |
| | `images` | list of image | the images, decoded to PIL by `datasets` | |
| | `n_images` | int32 | how many images the group holds | |
| | `image_sizes` | list of [width, height] | pixel dimensions, one pair per image | |
| | `image_phashes` | list of string | perceptual hash, one per image | |
| | `category` | string | task category; matches the directory | |
| | `source_subset` | string | subset; matches the directory | |
| | `categories` | list of string | every category label the upstream corpora gave this group | |
| | `sources` | list of string | every upstream corpus that contributed a dialogue | |
| | `source_subsets` | list of string | every upstream subset name | |
| | `data` | list of struct | the dialogues, below | |
|
|
| Each element of `data`: |
|
|
| | field | meaning | |
| |---|---| |
| | `id`, `ori_id` | identifiers of this dialogue and of the record it came from | |
| | `messages` | the dialogue as `from` / `value` pairs, `human` and `gpt` | |
| | `n_turns` | number of turns | |
| | `cot_level` | `short` or `long` chain-of-thought | |
| | `original_answers` | the answers before rewriting | |
| | `provenance` | which model performed each step | |
| | `source`, `subset`, `source_subset`, `category` | where this dialogue came from | |
|
|
| `provenance` names the model used at each stage, so a subset of the corpus can be selected by |
| annotator: `question_image_consist` (the image-question consistency check), `answer_rewrite`, |
| `reasoning_rewrite`, and `answer_consist` (verification of the rewritten answer). A value of `null` |
| means that stage did not apply — determinate tasks such as OCR transcription and box-level grounding |
| are filtered but never rewritten. |
|
|
| ## Composition |
|
|
| | category | subsets | image groups | conversations | size | |
| |---|---:|---:|---:|---:| |
| | Caption | 13 | 1,413,122 | 2,011,253 | 1.21 TB | |
| | Chart | 77 | 4,665,363 | 11,036,064 | 0.87 TB | |
| | Document | 49 | 2,271,245 | 4,766,060 | 0.67 TB | |
| | GUI-Grounding | 4 | 500,916 | 2,803,848 | 0.12 TB | |
| | General | 122 | 4,298,102 | 12,952,088 | 1.75 TB | |
| | Grounding | 27 | 1,979,196 | 3,435,355 | 0.75 TB | |
| | OCR | 45 | 2,564,793 | 3,625,483 | 0.37 TB | |
| | STEM | 83 | 2,015,115 | 3,664,927 | 0.07 TB | |
| | **total** | **420** | **19,707,852** | **44,295,078** | **5.81 TB** | |
|
|
| A subset name that appears in more than one category is qualified with its category, for example |
| `Chart-CoSyn` and `Document-CoSyn`. |
|
|
| ## Provenance of the answers |
|
|
| | stage | models | |
| |---|---| |
| | answer rewriting | Qwen3-VL-235B-A22B-Instruct, Kimi-K2.5, MAI-UI-8B | |
| | reasoning rewriting | Qwen3-VL-235B-A22B-Thinking, Kimi-K2.5, Doubao-Thinking | |
| | image-question consistency | Qwen3-VL-30B-A3B-Instruct | |
| | answer verification | Qwen3-235B-A22B-Instruct | |
|
|
| `sources` records which annotation pass a dialogue belongs to: `Honey-Data-15M-Rollout1` is the |
| re-curated original pool, `Rollout2` and `Rollout3` are the two further independent passes over the |
| same instructions. Dialogues taken from newly incorporated community corpora carry that corpus's |
| name instead. |
|
|
| ## Licensing information |
|
|
| Honey-Data-V2 aggregates many publicly available datasets, each governed by its own licence. Anyone |
| using this corpus must observe the licence attached to each constituent dataset. To the extent we |
| hold any rights in the curation and the generated answers, those are released under CC-BY-4.0. |
|
|
| ## Citation |
|
|
| If you use Honey-Data-V2, please cite the journal version: |
|
|
| ```bibtex |
| @article{zhang2026beecvm, |
| title = {Bee: A High-Quality Corpus and Full-Stack Suite for End-to-End Training of Fully Open MLLMs}, |
| author = {Yi Zhang and Bolin Ni and Xin-Sheng Chen and Heng-Rui Zhang and Yongming Rao and |
| Houwen Peng and Qinglin Lu and Han Hu and Meng-Hao Guo and Shi-Min Hu}, |
| journal = {Computational Visual Media}, |
| year = {2026}, |
| note = {to appear}, |
| } |
| ``` |
|
|
| The conference version, which introduced Honey-Data-15M and Bee-8B: |
|
|
| ```bibtex |
| @inproceedings{zhang2026bee, |
| title = {Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs}, |
| author = {Yi Zhang and Bolin Ni and Xin-Sheng Chen and Heng-Rui Zhang and Yongming Rao and |
| Houwen Peng and Qinglin Lu and Han Hu and Meng-Hao Guo and Shi-Min Hu}, |
| booktitle = {The Fourteenth International Conference on Learning Representations}, |
| year = {2026}, |
| } |
| ``` |
|
|
