datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
zomato_delivery_EDA📹 Video walkthrough:
Zomato Delivery Operations — EDA & Dataset
Dataset Overview
Real-world delivery data from Zomato operations across multiple Indian cities,
covering courier attributes, weather conditions, traffic density, GPS coordinates,
and delivery outcomes.
Source
Kaggle — saurabhbadole/zomato-delivery-operations-analytics-dataset
Original size
45,584 rows × 20 columns
Final size
38,964 rows × 22 columns
Target variable
Time_taken (min)… See the full description on the dataset page: https://huggingface.co/datasets/allenborochin/zomato_delivery_EDA.olist-ecommerce-for-delivery-and-review-prediction
E-Commerce Analytics for Delivery and Review Prediction
This dataset was created for a datathon project. It's a cleaned and feature-engineered version of the public Olist Brazilian E-commerce dataset, specifically prepared to predict shipping delays and customer review scores.
Project Goals
Our project focuses on two key business problems:
Model 1 (Regression): Can we predict how delayed a shipment will be? This helps manage customer expectations proactively.
Model 2… See the full description on the dataset page: https://huggingface.co/datasets/miminmoons/olist-ecommerce-for-delivery-and-review-prediction.gdpval-workbuddy-delivery2uavflow-6990-delivery-v1
UAV-Flow 6990 final release
Data source: UAV-Flow-Sim
Source count: 6990
Success + Failure per source: 10 trajectories
Total trajectories: 69900
Layout:
data/task/source/{meta.json, success/01..05, failure/01..05}
each variant: trajectory.json + frames/rgb_*.jpg
Same source-level instruction is inherited by all 10 variants.
S0-S4 -> success/01..05
F0-F4 -> failure/01..05
Failure stages: P10 / P30 / P50 / P70 / P90
person/car/dog dynamic targets are not included in this… See the full description on the dataset page: https://huggingface.co/datasets/zmtang/uavflow-6990-delivery-v1.piperx-water-delivery-0921-75ep-ctr
piperx-water-delivery-0921-75ep-ctr
300 episodes from 75 original sources, 288324 frames, 30 FPS. Three camera views and 14-dimensional action/state.
Preparation ends at bottle opening +0.6s; synchronization ends at the later tray opening +0.2s. Both independent phases share one first arm and delay ratio. The shared tray motion remains synchronized.
observation.arm_active_mask is float32[2], ordered left/right: 0 excludes an optional delay from supervision; 1 retains supervision… See the full description on the dataset page: https://huggingface.co/datasets/Takizz/piperx-water-delivery-0921-75ep-ctr.piperx-water-delivery-0921-75ep-mixed
piperx-water-delivery-0921-75ep-mixed
150 episodes from 75 original sources, 151336 frames, 30 FPS. Three camera views and 14-dimensional action/state.
Preparation ends at bottle opening +0.6s; synchronization ends at the later tray opening +0.2s. Both independent phases share one first arm and delay ratio. The shared tray motion remains synchronized.
observation.arm_active_mask is float32[2], ordered left/right: 0 excludes an optional delay from supervision; 1 retains… See the full description on the dataset page: https://huggingface.co/datasets/Takizz/piperx-water-delivery-0921-75ep-mixed.lerobot-simulation-aloha-dual-burger-delivery-01This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_arm_101",
"total_episodes": 13,
"total_frames": 1401,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:13"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/OpenGraphLabs-Research/lerobot-simulation-aloha-dual-burger-delivery-01.Food-Deliveryfood-delivery-orders
Food Delivery Platform Orders Dataset (Free Sample)
This is a free sample with 2,530 rows. The full dataset has 33,630 rows across 4 tables.
Order records for a simulated food delivery platform operating in a mid-size
US city. 120 restaurants, 45 delivery drivers, 8,000 customers, and 30,000
orders over 12 months.
Features realistic patterns: dinner rush (6-9 PM), weekend peaks, weather-driven
demand, restaurant ratings, delivery time estimates vs actuals, and two anomalies —
a… See the full description on the dataset page: https://huggingface.co/datasets/mindweave/food-delivery-orders.piperx-water-delivery-0921-75ep-sequential
piperx-water-delivery-0921-75ep-sequential
150 episodes from 75 original sources, 171764 frames, 30 FPS. Three camera views and 14-dimensional action/state.
Preparation ends at bottle opening +0.6s; synchronization ends at the later tray opening +0.2s. Both independent phases share one first arm and delay ratio. The shared tray motion remains synchronized.
observation.arm_active_mask is float32[2], ordered left/right: 0 excludes an optional delay from supervision; 1 retains… See the full description on the dataset page: https://huggingface.co/datasets/Takizz/piperx-water-delivery-0921-75ep-sequential.AgiBotWorld-Beta_G1_task_595_Delivery_menu
agibot_task_595
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 递送菜单
total_episodes: 472
total_tasks: 1
size: 5.5G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_595_Delivery_menu.piperx-water-delivery-0920-0921-75ep-ctr-preview-check
PiperX water delivery CTR
75 source episodes, one synthetic episode each; 79098 frames at 30 FPS, 225 videos. Original episodes are not duplicated in this export.
Start and return each cover parallel / left-first / right-first 25 times. Joint tray lifting, delivery and replacement stay synchronized. Only inserted optional waits have arm_active_mask=0; required waits and terminal rest have mask=1. Apply this loss mask explicitly in training.
Automated decoding, timestamps… See the full description on the dataset page: https://huggingface.co/datasets/Takizz/piperx-water-delivery-0920-0921-75ep-ctr-preview-check.robofactory-long-pipeline-delivery-multiviewdynamic-vla-delivery-20260824food-delivery-support-tickets
Food Delivery Support Tickets (synthetic)
10,153 synthetic English customer-support conversations for a food delivery
platform (à la Wolt / Uber Eats / DoorDash). Each record is a realistic customer
message with structured labels and a professional agent resolution + reply.
Built for the Food Delivery Support Copilot — an assistant that classifies an
incoming ticket, retrieves similar resolved cases, and drafts a reply.
How it was made
Generated locally with the… See the full description on the dataset page: https://huggingface.co/datasets/OrSabbach/food-delivery-support-tickets.Food_Delivery_App_Screen_Recording_Dataset
Food Delivery App Screen Recording Dataset
This dataset contains high-quality screen recordings of user interactions on food delivery applications. It has been carefully curated, cleaned, and anonymized to ensure accuracy, completeness, and compliance with privacy standards, making it suitable for AI training, UX research, and user behavior analysis.
Contact
For queries or collaborations related to this dataset, contact:
anoushka@kgen.io
abhishek.vadapalli@kgen.io… See the full description on the dataset page: https://huggingface.co/datasets/ijlewis/Food_Delivery_App_Screen_Recording_Dataset.piperx-water-delivery-0920-0921-150ep-ctr-preview-check
Water delivery: 150 CTR preview episodes
150 synthesized episodes from 75 original demonstrations (2 variants each), 148859 frames at 30 FPS, three camera streams. Original episodes are not included.
Sampling follows the sort Letters 300-point relative-start grid: g=source+75*variant; retain even g=0,2,...,298. Return timing uses the recorded cyclic permutation. Shared tray lifting, water delivery and tray replacement remain synchronized.
observation.arm_active_mask is [left… See the full description on the dataset page: https://huggingface.co/datasets/Takizz/piperx-water-delivery-0920-0921-150ep-ctr-preview-check.olist-delivery-risk-data
Olist Delivery Risk — analytical dataset
Registered automatically by the MLOps pipeline of the
Olist Delivery Risk Radar
project.
What this contains
96,470 delivered orders from the Brazilian marketplace Olist, assembled from
the nine raw Kaggle tables into a single modelling table.
Note on row counts. This repository holds the full table and the
train/test partitions derived from it. Use the configuration selector above to
view one at a time — viewing them… See the full description on the dataset page: https://huggingface.co/datasets/samuelalex37/olist-delivery-risk-data.Indian-Delivery-Simulator-Project
Indian Delivery Simulator (QuickKart)
A 3D Indian delivery-life simulator built in Unity 6000.0.81f1 LTS. You play a delivery
executive for the fictional company QuickKart — accept orders on your phone, ride your bike
through a procedurally generated Indian city, pick up packages from supermarkets, find the
customer, verify OTP, handle COD change, and build your earnings, XP, rating and reputation.
Status: complete C# codebase + Boot scene + docs. The city, bike, characters, UI… See the full description on the dataset page: https://huggingface.co/datasets/Tamil2008/Indian-Delivery-Simulator-Project.experiment-006-knowledge-delivery
KamiBench Experiment 006 — knowledge delivery, Wave 1
Complete agentic traces from experiment 006, the first wave of the
KamiBench knowledge-delivery family. Four agents were dropped into
Kamigotchi — a live, persistent, on-chain
world (Yominet) — with the same objective ("complete as many quests as
possible", made legibly long-horizon), the same harness surface, the
same world, and the scaffold as the only variable:
control — today's scaffold: a workspace folder the agent… See the full description on the dataset page: https://huggingface.co/datasets/KamiBench/experiment-006-knowledge-delivery.food-delivery-support-tickets
Food Delivery Support Tickets (synthetic)
10,153 synthetic English customer-support conversations for a food delivery
platform (à la Wolt / Uber Eats / DoorDash). Each record is a realistic customer
message with structured labels and a professional agent resolution + reply.
Built for the Food Delivery Support Copilot — an assistant that classifies an
incoming ticket, retrieves similar resolved cases, and drafts a reply.
How it was made
Generated locally with the… See the full description on the dataset page: https://huggingface.co/datasets/shaked08/food-delivery-support-tickets.crispr_delivery
Crispr Delivery Dataset
This dataset is part of the Deep Principle Bench collection.
Files
crispr_delivery.csv: Main dataset file
Usage
import pandas as pd
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("yhqu/crispr_delivery")
# Or load directly as pandas DataFrame
df = pd.read_csv("hf://datasets/yhqu/crispr_delivery/crispr_delivery.csv")
Citation
Please cite this work if you use this dataset in your research.
piperx-water-delivery-0920-0921-75ep-raw
piperx-water-delivery-0920-0921-75ep-raw
75 water-delivery episodes recorded on September 20–21, 2026 (UTC+8).
LeRobot v3.0; bi_piperx_follower; 30 FPS; 55,385 frames; 1,846.1667 seconds (30 minutes 46.17 seconds). Three original 640x480 RGB camera views: left_wrist, right_wrist, right_environment_1. Action and observation.state each contain 14 values.
Task: Pick up two water bottles and hold them in your hands.
Sources
Output episodes
Source dataset… See the full description on the dataset page: https://huggingface.co/datasets/Takizz/piperx-water-delivery-0920-0921-75ep-raw.jump-prediction-delivery
jump-prediction-delivery
Password-protected research data delivery (7z, AES-256).
Contents: point-in-time equity return prediction panels only
(daily / 30-minute / 1-minute). Documentation is delivered separately.
delivery_allproduction-delivery-manifest-fixtures
SHAR Production Delivery Manifest Fixtures
SHAR Production is an AI-hybrid video production studio. This CC-BY-4.0 dataset contains synthetic JSON fixtures for testing rights-labelled production delivery-manifest validators.
Every record is fictional. expected_valid is true only when the delivery has a valid SHA-256 file digest, an HTTPS evidence URL, and rights.status equal to cleared. Records with unknown or restricted rights are intentionally blocked.
It supports… See the full description on the dataset page: https://huggingface.co/datasets/SHARProduction/production-delivery-manifest-fixtures.international-delivery-68f942
international-delivery-68f942
Synthetic sensors test data: 34 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting… See the full description on the dataset page: https://huggingface.co/datasets/vectorDawn/international-delivery-68f942.zomato_delivery_EDA📹 Video walkthrough:
Zomato Delivery Operations — EDA & Dataset
Dataset Overview
Real-world delivery data from Zomato operations across multiple Indian cities,
covering courier attributes, weather conditions, traffic density, GPS coordinates,
and delivery outcomes.
Source
Kaggle — saurabhbadole/zomato-delivery-operations-analytics-dataset
Original size
45,584 rows × 20 columns
Final size
38,964 rows × 22 columns
Target variable… See the full description on the dataset page: https://huggingface.co/datasets/Samruddhi-Desai/zomato_delivery_EDA.lerobot-simulation-burger-delivery-01This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "aloha_dual",
"total_episodes": 51,
"total_frames": 24808,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:51"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/OpenGraphLabs-Research/lerobot-simulation-burger-delivery-01.smoltrace-food-delivery-tasks-v2
SMOLTRACE Synthetic Dataset
This dataset was generated using the TraceMind MCP Server's synthetic data generation tools.
Dataset Info
Tasks: 100
Format: SMOLTRACE evaluation format
Generated: AI-powered synthetic task generation
Usage with SMOLTRACE
from datasets import load_dataset
# Load dataset
dataset = load_dataset("MCP-1st-Birthday/smoltrace-food-delivery-tasks-v2")
# Use with SMOLTRACE
# smoltrace-eval --model openai/gpt-4 --dataset-name… See the full description on the dataset page: https://huggingface.co/datasets/MCP-1st-Birthday/smoltrace-food-delivery-tasks-v2.