Merge branch 'main' of https://huggingface.co/datasets/frodobots/FrodoBots-2K

README.md

@@ -24,13 +24,13 @@ pretty_name: FrodoBots 2K Dataset
 
 # FrodoBots 2K Dataset
 
-The **FrodoBots 2K Dataset** is a diverse collection of camera footage, GPS, IMU, audio recordings & human control data collected from more than 2,000 hours of tele-operated sidewalk robot driving in 10+ cities.
+The **FrodoBots 2K Dataset** is a diverse collection of camera footage, GPS, IMU, audio recordings & human control data collected from ~2,000 hours of tele-operated sidewalk robots driving in 10+ cities.
 
-This dataset is collected from the [**Earth Rovers**](https://www.frodobots.ai/earth-rovers) game developed by [**FrodoBots Lab**](https://www.frodobots.ai).
+This dataset is collected from [**Earth Rovers**](https://www.frodobots.ai/earth-rovers), a global scavenger hunt "Drive to Earn" game developed by [**FrodoBots Lab**](https://www.frodobots.ai).
 
 Please join our [**Discord**](https://discord.com/invite/AUegJCJwyb) for discussions with fellow researchers/makers!
 
-- If you're interested in contributing driving data, you can buy your own unit(s) from our [**online shop**](https://shop.frodobots.com/) (US$299 per unit) and start driving around your neighborhood (& earn from in-game points in the process)!
+- If you're interested in contributing driving data, you can buy your own unit(s) from our [**online shop**](https://shop.frodobots.com/) (US$299 per unit) and start driving around your neighborhood (& earn in-game points in the process)!
 
 - If you're interested in testing out your AI models on our existing fleet of Earth Rovers in various cities or your own Earth Rover, feel free to DM [**Michael Cho on Twitter/X**](https://twitter.com/micoolcho) to gain access to our Remote Access SDK.
 
@@ -38,11 +38,6 @@ Please join our [**Discord**](https://discord.com/invite/AUegJCJwyb) for discuss
 
 [![Earth Rovers: Drive to Earn Game with Sidewalk Robots](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/yqOYICOaMDBY5pAUnOZcD.jpeg)](https://youtu.be/yZVflvg4kBw?si=4lVWnrywLr1dOcjR)
 
-| ![Left to right in Stanford.gif](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/UI7pts68FozvOEbIFHPef.gif) |
-|:--:|
-| *Earth Rover being tested in Stanford University campus* |
-
-
 ## Dataset Summary
 
 There are 7 types of data that are associated with a typical Earth Rovers drive, as follows:
@@ -61,33 +56,32 @@ There are 7 types of data that are associated with a typical Earth Rovers drive,
 
 7. **Speaker**: Audio recordings of the robot's speaker output (ie. gamer's microphone), also with a sample rate of 16000Hz, channel 1.
 
-**Loom Video Explanation**
+Note: As of 12 May 2024, ~1,300 hrs are ready for download. The remaining ~700 hours are still undergoing data cleaning and will be available for download by end May or early June.
 
 
+**Loom Video Explanation**
 
-In total, there were more than ? individual driving sessions recorded, with majority of these drives under 10 minutes long, although there were also drives lasting more than an hour.
 
-| ![Histogram of Session Duration.png](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/vXaVIWxqaBy2x6N9jJnrD.png) |
-|:--:|
-| *Histogram of Session Duration (minutes)* |
+In total, there were 9,000+ individual driving sessions recorded. The chart below shows the distribution of individual driving session duration.
 
-These drives were done with Earth Rovers in over 10 cities, registering over 2,000 hours of footages (currently ~1,500 hours are available for download, with remaining ~500 hours available by end May, 2024 after some final data cleaning).
-
-| ![Cumulative sessions hours by city.png](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/iAH1bhnc4olXhpbdJHDGv.png)|
+| ![Histogram of Session Duration.png](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/dc78cVqFcApFWqgXxRqxx.png) |
 |:--:|
-| *Cumulative sessions hours by city* |
 
-Earth Rovers are designed to have a typical max speed of 3km/hr. Duration with 0km/hr would mean either stationary or short pauses during a regular game drives.
+These drives were done with Earth Rovers in 10+ cities. The chart below shows the distribution of recorded driving duration in the various cities.
 
-| ![Distribution of robot speed.png](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/e_dh5xDedWbnhlkhJX6O9.png)|
+| ![Cumulative Sessions Hours.png](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/9z-MCaDyU8eqOa2v0ULMz.png)|
 |:--:|
-| *Distribution of robot speed (excluding zero speed)* |
+
 
 ## About FrodoBots
 
-[**FrodoBots**](https://www.frodobots.ai/) is an open-world video driving game where gamers remotely control sidewalk robots to complete missions in different cities (here's a video about the [robot](https://youtu.be/WZy1u7ds1wQ)).
+[**FrodoBots**](https://www.frodobots.ai/) is a project aiming to crowdsource the world's largest real-world teleoperation datasets with robotic gaming. 
 
-The game objective is to complete the pre-defined navigation missions in single-player mode (see [video](https://www.youtube.com/@frodobots)) or gather digital items in the multiplayer arena mode (see [video](https://youtu.be/2E3lve-Xvak)).
+We have 3 core thesis:
+
+1. **Robotic gaming can be a thing**: It is possible to create fun gaming experience where gamers control robots remotely to complete missions in real life.
+2. **Affordable robots are just as useful in collecting data for Embodied AI research**: We design our robots to be like "toys", so that as many people as possible can afford to buy one and play with them.
+3. **DePIN can scale this project**: We can create a global community of robot hardware owners/operators by incentivizing them with well-designed tokenomics, taking best practices from other DePIN (Decentralized Physical Infrastructure Network) projects. 
 
 | ![Shopify_Madrid.gif](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/EOm26XBMsdvq96qLZxbri.gif) |
 |:--:|
@@ -137,11 +131,28 @@ The game objective is to complete the pre-defined navigation missions in single-
 |:--:|
 | *Road crossing in Palo Alto* |
 
+| ![Left to right in Stanford.gif](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/UI7pts68FozvOEbIFHPef.gif) |
+|:--:|
+| *Earth Rover being tested in Stanford University campus* |
+
 ## Motivations for open-sourcing the dataset
 
-The team behind FrodoBots is focused on building an open-world video gaming experience using real-life robots (we call it "robotic gaming"). A by-product of gamers playing the game in real-life is the accompanying dataset that's generated.
+The team behind FrodoBots is focused on building an real-world video gaming experience using real-life robots (we call it "robotic gaming"). A by-product of gamers playing the game is the accompanying dataset that's generated.
+
+By sharing this dataset with the research community, we hope to see new innovations that can (1) take advantage of this dataset & (2) leverage our existing fleet of community-sourced robots (via our Remote Access SDK) as a platform for testing SOTA Embodied AI models in the real world.
+
+## Help needed!
+
+We are a very small team with little experience in various downstream data pipeline and AI research skillsets. One thing we do have is lots of real-world data. 
+
+Please reach out or join our [**Discord**](https://discord.com/invite/AUegJCJwyb) if you'd have any feedback or like to contribute to our efforts, especially on following:
 
-By sharing this dataset with the research community, we hope to see new innovations that can be tested (via our SDK) directly on our fleet of FrodoBots, and then ultimately deployed back into our production environment in order to create a more fun and safer game.
+- **Data cleaning**: We have way more data than what we've open-sourced in this dataset, primarily because we struggle with variuos data cleaning tasks.
+- **Data analytics**: We have done a couple charts but that's about it.
+- **Data annotations**: We have open-sourced the raw files, but it'll be great to work with teams with data annotation know-how to further augment the current dataset.
+- **Data visualization**: A lot more can be done to visualize some of these raw inputs (eg. layering timestamped data on top of the video footage).
+- **Data anonymization**: We'd like to build in various data anonymization (eg. face blurring) in future releases. We attempted to do this but struggled with downstream data manipulation issues (eg. dropped frames, lower video resolution, etc)
+- **Data streaming & hosting**: If this project continues to scale, we'd have millions of hours of such data in the future. Will need help with storage/streaming.
 
 ## **Download**
 Download FrodoBots dataset using the link in this [csv file](https://frodobots-2k-dataset.s3.ap-southeast-1.amazonaws.com/complete-dataset.csv).