Spaces:
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Sleeping
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README.md
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license: mit
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short_description: 'Turn .md / .txt into csv '
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ChatGPT said: Hi there
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Marker strings are configurable in the UI, but the transcript must follow a consistent "marker to content" pattern
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Arbitarily formatted prose
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Chat logs without speaker markers
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Exported HTML/JSON without preprocessing (in process - update coming soon)
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This tool is intended as a preprocessing step for use with Threadscope, which visualizes long-form interaction dynamics such as drift, stability, and perturbation response.
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Files are processed in-session only and are not stored
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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license: mit
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short_description: 'Turn .md / .txt into csv '
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---
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## What this tool does
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This tool converts structured chat transcripts written in Markdown or plain text
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into a canonical turn-level CSV format suitable for analysis with **Threadscope:
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Drift & Hold**.
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## Supported transcript format
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This converter expects transcripts that use explicit speaker markers, for example:
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- 'You said: Hello'
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- 'ChatGPT said: Hi there'
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Marker strings are configurable in the UI, but the transcript must follow a
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consistent “marker → content” pattern.
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## Not supported
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- Arbitrarily formatted prose
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- Chat logs without explicit speaker markers
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- Exported HTML or JSON without preprocessing
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## Output
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The generated CSV includes the following columns:
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- `turn`
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- `speaker`
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- `chars`
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- `words`
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- `tokens_est` (lightweight estimate)
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## How this fits into the Threadbourne lab
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This tool is intended as a preprocessing step for use with
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**Threadscope: Drift & Hold**, which visualizes long-form interaction dynamics
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such as drift, stability, and perturbation response.
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## Privacy
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Files are processed in-session only and are not stored.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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