Datasets:
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
dialogue
hallucination
procedural-hallucination
task-oriented-dialogue
conversational-agents
llm-evaluation
License:
Card: Task 3 training example selects the train conformant dialogues
Browse files
README.md
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```python
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task3_train = ds.filter(lambda r: r["task3_split"] == "train") # what a Task 3 method may learn from
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task3_test = ds.filter(lambda r: r["task3_split"] == "test") # what Task 3 is scored on
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```
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```python
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task3_train = ds.filter(lambda r: r["task3_split"] == "train" and r["kind"] == "conformant") # what a Task 3 method may learn from
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task3_test = ds.filter(lambda r: r["task3_split"] == "test") # what Task 3 is scored on
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```
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