Datasets:
Upload folder using huggingface_hub
Browse files- .gitattributes +59 -0
- 0_sensor.json +0 -0
- 0_video.mp4 +3 -0
- 10_sensor.json +0 -0
- 10_video.mp4 +3 -0
- 11_sensor.json +0 -0
- 11_video.mp4 +3 -0
- 12_sensor.json +0 -0
- 12_video.mp4 +3 -0
- 13_sensor.json +0 -0
- 13_video.mp4 +3 -0
- 15_sensor.json +1 -0
- 15_video.mp4 +3 -0
- 16_sensor.json +0 -0
- 16_video.mp4 +3 -0
- 17_sensor.json +0 -0
- 17_video.mp4 +3 -0
- 18_sensor.json +0 -0
- 18_video.mp4 +3 -0
- 19_sensor.json +0 -0
- 19_video.mp4 +3 -0
- 1_sensor.json +0 -0
- 1_video.mp4 +3 -0
- 20_sensor.json +0 -0
- 20_video.mp4 +3 -0
- 2_sensor.json +0 -0
- 2_video.mp4 +3 -0
- 3_sensor.json +0 -0
- 3_video.mp4 +3 -0
- 4_sensor.json +0 -0
- 4_video.mp4 +3 -0
- 5_sensor.json +0 -0
- 5_video.mp4 +3 -0
- 6_sensor.json +0 -0
- 6_video.mp4 +3 -0
- 7_sensor.json +0 -0
- 7_video.mp4 +3 -0
- 8_sensor.json +0 -0
- 8_video.mp4 +3 -0
- 9_sensor.json +0 -0
- 9_video.mp4 +3 -0
- README.md +35 -0
- data.csv +22 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.lz4 filter=lfs diff=lfs merge=lfs -text
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*.mds filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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*.pcm filter=lfs diff=lfs merge=lfs -text
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*.sam filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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0_sensor.json
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0_video.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1aba7cab22c9fc60a7716c62af5f446aefc7a608de36069fa0b3e7fb008eb72
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size 338514046
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10_sensor.json
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10_video.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:d13cbe93b5c5310e9d6ffae0a16de224aecfbc1444f801f518f4bda4af5412ca
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size 314101059
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11_sensor.json
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11_video.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:aff0d566f158a654734aef9153335ccbd9e74f21ebb06a0dbaa7e125cd785110
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size 474435630
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12_sensor.json
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12_video.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:99af71396471139e6620c283c5321ee4b9837cd734316dc63442b6e057599716
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size 123842301
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13_sensor.json
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13_video.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa14f086e3242658844fa51489b4394a81ec1b6aa83a174785b1a46844bcf5fb
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size 625370164
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15_sensor.json
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6_sensor.json
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6_video.mp4
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+
version https://git-lfs.github.com/spec/v1
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size 309187252
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7_video.mp4
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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8_sensor.json
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8_video.mp4
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| 1 |
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version https://git-lfs.github.com/spec/v1
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9_sensor.json
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version https://git-lfs.github.com/spec/v1
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|
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size 255310496
|
README.md
ADDED
|
@@ -0,0 +1,35 @@
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|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-nd-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- object-detection
|
| 5 |
+
tags:
|
| 6 |
+
- complex actions
|
| 7 |
+
- sensor data
|
| 8 |
+
- robotic
|
| 9 |
+
- robot learning models
|
| 10 |
+
- multimodal robot manipulation
|
| 11 |
+
size_categories:
|
| 12 |
+
- 1K<n<10K
|
| 13 |
+
---
|
| 14 |
+
# Robotic Dataset
|
| 15 |
+
The dataset comprises **1,000+** hours of **multimodal robot manipulation** data collected from real-world environments, demonstrating manipulation tasks such as **cleaning, laundry folding, and dishwashing** performed by different robots. It contains synchronized **sensor data** from seven **9-axis IMU units** attached to the robot arms, forearms, and chest, along with head-mounted videos and detailed trajectory recordings.
|
| 16 |
+
|
| 17 |
+
By utilizing this dataset, researchers can explore learning methods and robot manipulation techniques that enhance the ability of real robots to **handle different objects** and perform **complex actions** in real-world scenarios. - **[Get the data](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities)**
|
| 18 |
+
|
| 19 |
+
Designed for robotic learning and model training, it provides data suitable for training models in robotic systems, foundation models, and real-world applications of humanoid robotics and robot manipulation.
|
| 20 |
+
|
| 21 |
+
# Frequently Asked Questions
|
| 22 |
+
|
| 23 |
+
## What types of household activities are included?
|
| 24 |
+
|
| 25 |
+
The dataset focuses on everyday household tasks, including cleaning, laundry folding, and dishwashing.
|
| 26 |
+
|
| 27 |
+
## Who can benefit from this robot dataset?
|
| 28 |
+
|
| 29 |
+
The dataset is useful for robotics researchers, AI developers, universities, embodied AI teams, and companies working on robot learning. It supports projects involving imitation learning, activity recognition, multimodal sensor fusion, and autonomous robotic assistants operating in home environments.
|
| 30 |
+
|
| 31 |
+
## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities) to discuss your requirements and pricing options.
|
| 32 |
+
|
| 33 |
+
Dataset enables researchers and developers to build large-scale robot learning models, making it an essential resource for advancing robotic manipulation and real-world robotics research.
|
| 34 |
+
|
| 35 |
+
## 🌐 [UniData](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
|
data.csv
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
counter,duration,task,createdDate,videoSize,sensorSize,recordingVersion
|
| 2 |
+
0,136,folding_laundry,2025-11-07T00:11:32.664Z,338514046,2165262,1
|
| 3 |
+
1,125,folding_laundry,2025-11-11T11:39:44.232Z,309192294,1984479,1
|
| 4 |
+
2,137,folding_laundry,2025-11-04T09:01:39.513Z,339393786,2178708,1
|
| 5 |
+
3,149,folding_laundry,2025-11-06T20:11:41.140Z,369142714,2364192,1
|
| 6 |
+
4,138,doing_the_dishes,2025-11-07T10:16:56.350Z,340996823,2181919,1
|
| 7 |
+
5,123,folding_laundry,2025-11-09T23:29:46.952Z,304145086,1950951,1
|
| 8 |
+
6,59,folding_laundry,2025-11-07T10:26:09.415Z,309187252,929686,1
|
| 9 |
+
7,8,folding_laundry,2025-10-30T14:43:01.930Z,40103559,128026,1
|
| 10 |
+
8,11,cooking,2025-11-06T05:13:37.912Z,22354636,176140,1
|
| 11 |
+
9,122,cleaning,2025-10-31T11:46:08.827Z,255310496,1931673,1
|
| 12 |
+
10,127,doing_the_dishes,2025-10-31T08:00:18.392Z,314101059,2010712,1
|
| 13 |
+
11,192,folding_laundry,2025-11-05T22:22:54.858Z,474435630,3046997,1
|
| 14 |
+
12,60,cleaning,2025-11-05T08:18:51.490Z,123842301,941002,1
|
| 15 |
+
13,118,folding_laundry,2025-11-09T11:25:20.009Z,625370164,1870972,1
|
| 16 |
+
14,10,cleaning,2025-10-29T07:01:27.925Z,0,130998,1
|
| 17 |
+
15,2,cleaning,2025-10-23T15:43:45.521Z,3887229,32633,1
|
| 18 |
+
16,99,folding_laundry,2025-11-07T00:06:57.379Z,244947362,1573798,1
|
| 19 |
+
17,124,folding_laundry,2025-10-30T14:33:05.902Z,305766769,1961721,1
|
| 20 |
+
18,47,folding_laundry,2025-11-09T11:32:29.300Z,247880319,738596,1
|
| 21 |
+
19,90,cleaning,2025-10-29T09:53:30.649Z,188009409,1430399,1
|
| 22 |
+
20,22,cleaning,2025-11-05T13:32:17.189Z,113891894,349328,1
|