video_id large_stringlengths 25 44 | sentence large_stringlengths 3 977 | features unknown | shape listlengths 3 3 |
|---|---|---|---|
--7E2sU6zP4_10-5-rgb_front | "And I call them decorative elements because basically all they're meant to do is to enrich and colo(...TRUNCATED) | "0vUhvl+5Ub/sRpW/QKPqPrMoGjwhh0y+yxUYP2GUsj/XCLu/J7Qnv5Cypj+cG5G/RaTQvepZxz4/GCvAno9PPZdItz2QS0LAFVs(...TRUNCATED) | [
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--7E2sU6zP4_11-5-rgb_front | "So they don't really have much of a symbolic meaning other than maybe life is richer, life is beaut(...TRUNCATED) | "H66fvf2BSL8RIQTAfpj8Pph9Cj0tWpc9lz1TP95SqD//DBo/QuZZvx/DmT93idm/KyKyvlrtwD5apYHAjRlcP3A+M0BNgyo+Ci7(...TRUNCATED) | [
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--7E2sU6zP4_12-5-rgb_front | "Now this is very, this is actually an insert of a kind of an envelope for stationary, and this is a(...TRUNCATED) | "P2P9vTkHaL/jcsO/ZIncPqu/yjr6/oG+TnQ6Pypdqj++7s6/SA5Mv7MFhT89pKO/TxTVvrUQUD7V8FzAeD4EvUQiBT+913TA8bk(...TRUNCATED) | [
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--7E2sU6zP4_13-5-rgb_front | This is all the you know, take off on the idea of the acanthus leaf. | "tZgRvTICfb/L6fq/Rh72PoNOXTlF4Qy+OiFLPwvHrj+/x3W//BFFvxOQoT/dj6G9Kt/FvlWEA0B9Ns+/KLlCPvbwZj9RsVHAw3p(...TRUNCATED) | [
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--7E2sU6zP4_5-5-rgb_front | It's almost has a feathery like posture to it. | "u9sYvsWuf78HUre/fIj3PsLLVzzl4wG+ddRGPy+gtT8v+8S/WQI7v3omrz/blqS/7rL8voKtmz5Tjl/AtlwFP0xWUD/1TH/AgYk(...TRUNCATED) | [
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--7E2sU6zP4_6-5-rgb_front | "And so, it's used in architecture as a decorative element in architecture on columns and so on, and(...TRUNCATED) | "JTdDvbZLdb+CRNK/C6z5PvVaAr1jrti9Nw5JPzqUtz8yT/K/8EVNv8o8pz8LXuC/Kwzavm0UUT6jgn7AGNcRPUBMhT43F4/AnBS(...TRUNCATED) | [
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--7E2sU6zP4_7-5-rgb_front | "And so what's happened with the idea of acanthus leaf, is that it has is taken on all these differe(...TRUNCATED) | "Y1X8vQc0Ur+S0re/LETUPlmOebxt5I6+425APy2mmj+KjMq/BwFKv2bVgT9Tbpe/vY/avmipFj4eYEzAlDXLvdeBCz/bfF/AddY(...TRUNCATED) | [
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--7E2sU6zP4_8-5-rgb_front | "And it has been wildly colored so you can look at some an acanthus leaf and you can start with the (...TRUNCATED) | "xhpwvVdPNL8yS6a/4pfCPrmBvjuOUKa+wPBZPy9gEz9Br7S/8qVVv6Kv+z6a6jS/RvpDv00X5r4wqBjAMVBNPqdsDj9eS0DAt8T(...TRUNCATED) | [
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--7E2sU6zP4_9-5-rgb_front | "Here, actually, I have some samples of traced acanthus leaves from different illuminated manuscript(...TRUNCATED) | "NhsXvjTHeL9O5cC/GKnrPkV1rbyH0ka+i2xHP4LboD+CXta/9GI6v45/nj+iOcK/dO90vnMdAj+K7mrA8C3Xuz0IPz81MG3AdqU(...TRUNCATED) | [
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--8pSDeC-fg_0-5-rgb_front | Hi. | "O3ICvrr8gr/CbOO/sGz0Ps2HDz3Z7RO+5GAuP2vmnz/tnCO+KpU+v+2gnD/8OBg+nabsvgXVEkCZbz+/5UQIPm9MJECrHai/z3E(...TRUNCATED) | [
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End of preview. Expand in Data Studio
A specially selected set of 96 mediapipe coordinates from Mediapipe Holistic.
import numpy as np
from datasets import load_dataset
dataset_name = "bdanko/how2sign-landmarks-curated-normalized"
print(f"Loading dataset {dataset_name}...")
dataset = load_dataset(dataset_name, split="test", streaming=True)
# Get a sample
sample = next(iter(dataset))
video_id = sample['video_id']
sentence = sample['sentence']
features_raw = sample['features']
shape = sample['shape']
# Decode features
landmarks = np.frombuffer(features_raw, dtype=np.float32).reshape(shape)
print(f"Video ID: {video_id}")
print(f"Sentence: {sentence}")
print(f"Landmarks shape: {landmarks.shape}") # Expected (T, 96, 3)
# Landmark Indices for the 96 Selected Features
# Order: Face (48), Upper Body (6), Hands (42)
FACE_SLICE = slice(0, 48)
POSE_SLICE = slice(48, 54)
LHAND_SLICE = slice(54, 75)
RHAND_SLICE = slice(75, 96)
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