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A Detailed Exploration of Beijing Human Data Base: Under the “data bubble” of tens of millions of hours, how can high-quality data be defined?

2026-09-04 08:00 Products & Apps 🔥 42.2 heat score
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The Beijing Humanoid Robot Data Base is under construction, aiming to train humanoid robots through massive amounts of data. Reports indicate that there is currently a scale of ten million hours of data collection, but there is no clear standard for defining data quality, leading to discussions in the industry about the authenticity and effectiveness of the data.

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Key entitiesKEY ENTITIES
Beijing Humanoid Robot Innovation CenterRoboMINDTiangong

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Beijing Humanoid Robot …1Beijing Humanoid Robot …1RoboMIND × Tiangong1

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  • Beijing Humanoid Robot Innovation Center1
  • Tiangong1
  • RoboMIND1

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科创板日报 zh 2026-09-04 08:00

On-site investigation of Beijing's humanoid data base: beneath the million-hour data bubble, how is high-quality data defined?

# Real exploration of Beijing Humanoid Data Base: Under the data bubble of tens of millions of hours, how can high-quality data be defined? **Key event**: The Beijing Humanoid Robot Innovation Center (“National Team Model Room”) has built a data base covering more than 6,000 square meters. It has created over 30 real-scenario environments for households, shopping malls, industry, and medical wellness. More than 150 robot devices have been deployed, with plans to create a high-quality dataset worth millions of hours. **Data status**: Currently, there is no national pricing for data transactions. The price for real-machine data is about 500-1,000 yuan per effective hour (which has decreased). For device-specific data, the price ranges from several dozen to one or two hundred yuan per hour. The base has an annual capacity of 180,000 hours and has served over 100 clients, mostly leading large models and embodied intelligence companies. **Quality control**: The base implements “one inspection after collection, two inspections after annotation, and three inspections before delivery to the algorithm side.” In the first half of the year, the data validation rate for top clients exceeded 95%. The annotation process is automated by AI, and the collection method uses a “device-present+device-absent” matrix approach, balancing accuracy and cost. **Commercial reality**: The base…