SCBE-AETHERMOORE: 233K Multi-View SFT Pairs for Polly Chatbot Training

233,179 multi-view supervised fine-tuning pairs for training the Polly chatbot with binary-first orientation. The dataset was created by user 'issdandavis' and last updated on Hugging Face in April 2026. It includes baseline, stack-lite, and specialized subsets for encoding and inference retrieval.

Use Cases

• Supervised fine-tuning of language models based on the multi-view SFT pairs.
• Benchmarking chatbot performance based on the included 47-sample evaluation set.
• Training models with specialized encoding based on the 'Sacred Tongues' subset.
• Retrieval-augmented generation experiments based on the 1,000-record inference bundles.

Strengths

• 233,179 multi-view SFT pairs provide a substantial corpus for model training.
• Includes multiple specialized subsets for baseline, stack-lite, encoding, and inference tasks.
• Last updated on 2026-04-03, suggesting recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary training file is unknown, which may limit suitability assessment.
• Data may reflect source bias inherent to its origin on Hugging Face.

Provenance

Source

Hugging Face dataset uploaded by user 'issdandavis'.

Collection Method

Likely curated or generated for training the Polly chatbot.

Time Range

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Freshness

Last updated 2026-04-03 01:41:15.

Geography

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