Examples#

Hand Tracking for Physical AI

Read a LeRobot dataset, run hand tracking as a Daft UDF, and score the results against EgoDex ground truth.

Reward Scoring for Physical AI

Read LIBERO episodes with Daft's LeRobot reader and score each one with a reward model - per-frame task progress plus success probability - then filter low-quality episodes with a Daft query.

Motion Trimming for Physical AI

Read DROID episodes with Daft's LeRobot reader, score per-frame motion from the robot's own joint positions - no video decode - and reduce it to one trim window per episode.

Multimodal Structured Outputs: Evaluating Image Understanding

Leverage image ablation to analyze textual bias in image understanding datasets.

Voice AI Analytics with Faster-Whisper and embed_text

Transcribe audio files into segments with timestamps and embed content.

MinHash Deduplication on Common Crawl

Clean web text at scale with MinHash, LSH Banding, and Connected Components.

Getting Started with Common Crawl

Daft provides a simple, performant, and responsible way to access Common Crawl data.

Audio Transcription with Whisper

Effortlessly transcribe audio to text at scale.

Build a 100% GPU Utilization Text Embedding Pipeline featuring spaCy and Turbopuffer

Generate and store millions of text embeddings in vector databases using distributed GPU processing and state-of-the-art models.

Generate Images with Stable Diffusion

Open Source image generation model on your own GPUs using Daft UDFs.

Daft's Four UDF Pattern Tutorial

One notebook, four UDF patterns, one dataset. Row-wise, generator, async, and stateful -- learn when to use each.

Window Functions: The Great Chocolate Race

Explore how window functions can reduce complex joins and groupby's to just a few simple operations.

Running LLMs on the Red Pajamas Dataset

Perform similarity search on Stack Exchange questions using language models and embeddings.