Datasets:
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
dialogue
hallucination
procedural-hallucination
task-oriented-dialogue
conversational-agents
llm-evaluation
License:
Card: drop the release note
Browse files
README.md
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@@ -167,8 +167,6 @@ for turn in row["turns"][:4]:
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print(f'{turn["speaker"]:>6}: {turn["text"]}')
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```
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This is DialFork **v1**, the default configuration. `load_dataset("DialFork/dialfork", "v1", revision="v1")` pins it exactly; later releases will be added as configurations of their own.
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-
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### As [sdialog](https://github.com/idiap/sdialog) dialogues
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Every row's `dialog_json` is a complete [sdialog](https://github.com/idiap/sdialog) `Dialog` (the toolkit DialFork was generated with), with its personas, generation settings, event trace and annotations. Load it to print, analyse or extend a conversation with sdialog's tools (`pip install "sdialog>=0.5.1"`):
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print(f'{turn["speaker"]:>6}: {turn["text"]}')
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```
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### As [sdialog](https://github.com/idiap/sdialog) dialogues
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Every row's `dialog_json` is a complete [sdialog](https://github.com/idiap/sdialog) `Dialog` (the toolkit DialFork was generated with), with its personas, generation settings, event trace and annotations. Load it to print, analyse or extend a conversation with sdialog's tools (`pip install "sdialog>=0.5.1"`):
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