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README.md

@@ -16,11 +16,11 @@ size_categories:
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 ---
 
-# MEAT-CUT-sample
+# MEAT-CUT-sample: Fine Manipulation of Deformable Organic Matter
 
 ## Overview
 
-This dataset provides a high-quality, multi-view synchronized capture of expert procedural tasks in a professional butchery environment. It specifically focuses on the complex manipulation of **non-rigid and deformable objects** (meat, sausage stuffing, and casings), a significant challenge in current robotics and computer vision research.
+This dataset provides a high-quality, multi-view synchronized capture of expert procedural tasks in a professional butchery environment. It specifically focuses on the complex manipulation of non-rigid and deformable objects such as meat, sausage stuffing, and organic tissues. This resource addresses significant challenges in current robotics and computer vision regarding physical interaction, plasticity, and shear during expert handling.
 
 
 <video controls loop width="100%">
@@ -30,24 +30,23 @@ This dataset provides a high-quality, multi-view synchronized capture of expert
 
 ## Key Technical Features
 
-* **Synchronized Multi-View FPV & 3rd Person:** Includes perfectly aligned ego-centric (First-Person View) and multiple third-person perspectives.
-* **Expert Human Narration:** Each task is accompanied by a human voice-over explaining the **intent, tactile feedback, and professional heuristics** behind every gesture.
-* **Non-Rigid Physics:** Captures complex material behaviors such as plasticity, elasticity, and shear during the sausage-making process.
-* **Multimodal Grounding:** Provides a direct link between visual actions and expert verbal instructions, ideal for training **Vision-Language Models (VLM)**.
-* **High-Quality, Multi-View Synchronization:** All views are precisely time-aligned to ensure seamless cross-modal understanding.
+* **Synchronized Multi-View: Includes perfectly aligned ego-centric (First-Person View) and third-person perspectives captured simultaneously.
+* **Non-Rigid Physics: Specifically designed to capture material behaviors such as plasticity, elasticity, and shear during professional butchery tasks.
+* **Unified Dataset Structure: Features a modern unified format where each example contains all synchronized video streams in a single row for seamless cross-modal training.
+* **Expert Precision: High-density micro-clips (1.80s) focusing on the exact moment of contact and manipulation between the expert and the organic material.
 
 ## Use Cases for Research
 
-* **Embodied AI & World Models:** Training agents to predict the physical consequences of interacting with deformable organic matter.
-* **Procedural Task Learning:** Modeling long-form sequential actions where step order and expert intent are critical.
-* **Tactile-Visual Inference:** Learning to estimate force and material resistance through visual observation and expert narration.
+* **Embodied AI and World Models: Training agents to predict the physical consequences of interacting with deformable organic matter.
+* **Procedural Task Learning: Modeling short-burst, high-precision actions where step order and expert intent are critical.
+* **Tactile-Visual Inference: Learning to estimate force, grip, and material resistance through visual observation of fine meat-cutting and handling.
 
 ## Full Dataset Specifications
 
-This Hugging Face repository contains a **5-minute preview sample**. The full professional corpus includes:
-* **Total Duration:** 50+ hours of continuous expert operations.
-* **Tasks:** Full-cycle sausage production, precise meat cutting, and tool maintenance.
-* **Data Quality:** 4K resolution, studio-grade audio, and temporal action annotations.
+* **Expert Audio Narration: Live commentary explaining intent, tactile feedback, and professional heuristics.
+* **Total Duration: 50+ hours of continuous professional expert operations.
+* **Extended Tasks: Full-cycle sausage production, precise meat cutting, and specialized tool maintenance.
+* **Data Quality: Native 4K resolution, studio-grade audio, and comprehensive temporal action annotations.
 
 ## Dataset Statistics
 
@@ -55,7 +54,7 @@ This section provides detailed statistics extracted from `dataset_metadata.json`
 
 ### Overall Statistics
 
-- **Dataset Name**: MEAT-CUT-sample
+- **Dataset Name**: MEAT-CUT-sample: Fine Manipulation of Deformable Organic Matter
 - **Batch ID**: 02
 - **Total Clips**: 214
 - **Number of Sequences**: 2
@@ -272,11 +271,6 @@ Each example contains:
 - `start_time_sec`: Start time in source video
 - `batch_id`, `dataset_name`, `source_video`, `sync_offset_ms`: Additional metadata
 
-## Commercial Licensing & Contact
-
-The complete dataset is available for commercial licensing and large-scale industrial or academic research. It offers deep insights into "tacit knowledge" that is otherwise unavailable in public video repositories.
-**To discuss full access or custom data collection, please contact : lain@gmail.com **
-
 ## License
 
 This dataset is licensed under **cc-by-nc-nd-4.0**.

dataset_metadata.json

@@ -1,5 +1,5 @@
 {
-  "dataset_name": "MEAT-CUT-sample",
+  "dataset_name": "MEAT-CUT-sample: Fine Manipulation of Deformable Organic Matter",
   "batch_id": "02",
   "total_clips": 214,
   "num_sequences": 2,

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train/state.json

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