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README.md
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license: mit
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language:
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size_categories:
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task_categories:
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task_ids:
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---
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# **EgoHaFL: Egocentric 3D Hand Forecasting Dataset with Language Instruction**
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---
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dataset_info:
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features:
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- name: uid
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dtype: string
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- name: video_id
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dtype: string
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- name: start_second
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dtype: float32
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- name: end_second
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dtype: float32
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- name: caption
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dtype: string
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- name: fx
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dtype: float32
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- name: fy
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dtype: float32
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- name: cx
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dtype: float32
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- name: cy
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dtype: float32
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- name: vid_w
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dtype: int32
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- name: vid_h
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dtype: int32
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- name: annotation
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list:
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- name: mano_params
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struct:
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- name: global_orient
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list: float32
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- name: hand_pose
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list: float32
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- name: betas
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list: float32
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- name: is_right
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dtype: bool
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- name: keypoints_3d
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list: float32
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- name: keypoints_2d
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list: float32
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- name: vertices
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list: float32
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- name: box_center
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list: float32
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- name: box_size
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dtype: float32
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- name: camera_t
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list: float32
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- name: focal_length
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list: float32
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splits:
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- name: train
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num_examples: # fill if known
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- name: test
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num_examples: # fill if known
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download_size: # optional
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dataset_size: # optional
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configs:
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- config_name: default
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data_files:
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- split: train
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path: EgoHaFL_train.csv
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- split: test
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path: EgoHaFL_test.csv
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license: mit
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language:
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- en
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pretty_name: EgoHaFL:Egocentric 3D Hand Forecasting Dataset with Language Instruction
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size_categories:
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- 1K<n<10K
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tags:
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- egocentric
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- 3d-hand
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- forecasting
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- hand-pose
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- video
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- language
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task_categories:
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- vision
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- natural-language-processing
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- 3d
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task_ids:
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- 3d-hand-pose-estimation
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- video-forecasting
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- video-language
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---
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# **EgoHaFL: Egocentric 3D Hand Forecasting Dataset with Language Instruction**
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