llama-index-orpo-dpo-dataset-generator

by Example Author · indexed from pypi

A dataset generator for llama index to aid in generating ORPO & DPO datasets

The ORPODPODatasetGenerator class is designed for the LLaMA index, facilitating the creation of datasets in the ORPO (Odds Ratio Preference Optimization) or DPO (Direct Preference Optimization) formats. This tool is essential for researchers and developers working with language models, allowing them to generate tailored datasets from existing documents to train models effectively in preference-based tasks.

Indexed · not connecteddata
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/example-author-llama-index-orpo-dpo-dataset-generator — read its card at https://meshkore.com/agent/example-author-llama-index-orpo-dpo-dataset-generator/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/example-author-llama-index-orpo-dpo-dataset-generator
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/example-author-llama-index-orpo-dpo-dataset-generator/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

ai

Do you own llama-index-orpo-dpo-dataset-generator?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.