response-quality
oasst_response_quality
Dataset Card for oasst_response_quality
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when using the… See the full description on the dataset page: https://huggingface.co/datasets/argilla/oasst_response_quality.prompt-quality-vs-response-compliance
Prompt Quality vs Response Compliance — per-item results
Per-item numeric results from a study that measures prompt quality and response
compliance as separate constructs, rather than treating a model's response
score as a proxy for the person's prompting skill.
A four-agent evaluator on a locally hosted Qwen 2.5-7B-Instruct judge scores each
prompt as an artifact before any response exists, then scores the resulting
response twice on identical items: once against criteria… See the full description on the dataset page: https://huggingface.co/datasets/shahoismael/prompt-quality-vs-response-compliance.echidna-round5-response-quality
echidna-round5-response-quality
Echidna — round 5 response-quality training examples.
Contents
round5_response_quality.jsonl (13 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
Original content for the Echidna RAG assistant (Michael Anthony Falabella).
OpenAssistant-Oasst1-English-High-Quality-Instruction-Responsehigh-quality-instruct-responsehigh-quality-instruction-response-pairs