chargoddard/piano-medley-7b
Text Generation
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The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other
Data scraped from roleplayerguild and parsed into prompts with a conversation history and associated character bio. Thanks to an anonymous internet stranger for the original scrape.
As usernames can be associated with multiple character biographies, assignment of characters is a little fuzzy. The char_confidence feature reflects how likely this assignment is to be correct. Not all posts in the conversation history necessarily have an associated character name. The column has_nameless reflects this.
Each row should fit into 4096 Llama tokens, depending on your prompt format - there's built in slack of 128 tokens + 8 per message.
There are a few configurations available. I highly recommend not using the default configuration as it contains a lot of questionable quality data. The options, in order of increasing usefulness:
default- ocean of garbage with some gemshigh_confidence- only entries with no nameless posts that are highly likely to be assigned a correctchar_name/biopruned- Further filtered fromhigh_confidenceto remove common types of junk repliesgrammar_filtered- run through a grammar checker to remove rows with too many mistakes
The grammar_filtered configuration is almost certainly what you want to be using. (Unless you want to do your own processing and filtering.)
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