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README.md
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There are (3) datasets available:
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The `transcripts` dataset is the key dataset here, with the other 2 providing additional context and information about each episode. Using the `sequence`, `speaker_role`, and `text` fields, we can create a chat-like dataset (representing very interesting conversations!) for evaluating language models.
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There are (3) datasets available:
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1. `programs`: Information for ~809 episodes, including title, description and guest information.
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2. `transcripts`: Full conversation transcripts (~200 turns/conversation) between Brian Lamb and his guests.
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3. `related_items`: Related or recommended programs (~5) for each episode.
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The `transcripts` dataset is the key dataset here, with the other 2 providing additional context and information about each episode. Using the `sequence`, `speaker_role`, and `text` fields, we can create a chat-like dataset (representing very interesting conversations!) for evaluating language models.
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