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- This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
 
 
 
 
 
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- Original dataset: [https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
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- Lilac dataset config:
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- ```namespace: lilac
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- name: databricks-dolly-15k-curated-en
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- source:
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- dataset_name: argilla/databricks-dolly-15k-curated-en
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- source_name: huggingface
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- embeddings:
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- - path: original-context
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- embedding: gte-small
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- - path:
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- - new-context
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- - value
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- - '*'
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- embedding: gte-small
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- - path: original-instruction
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- embedding: gte-small
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- - path: original-response
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- embedding: gte-small
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- embedding: gte-small
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- - path:
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- - new-response
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- - value
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- - '*'
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- embedding: gte-small
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- signals:
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- - path: original-instruction
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- signal:
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- signal_name: near_dup
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- - path: original-instruction
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- signal:
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- signal_name: pii
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- - path: original-instruction
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- signal:
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- signal_name: lang_detection
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- - path: original-instruction
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- signal:
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- signal_name: text_statistics
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- - path: original-context
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- signal:
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- signal_name: near_dup
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- - path: original-context
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- signal:
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- signal_name: pii
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- - path: original-context
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- signal:
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- signal_name: lang_detection
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- - path: original-context
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- signal:
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- signal_name: text_statistics
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- - path: original-response
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- signal:
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- signal_name: near_dup
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- - path: original-response
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- signal:
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- signal_name: pii
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- - path: original-response
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- signal:
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- signal_name: lang_detection
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- - path: original-response
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- signal:
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- signal_name: text_statistics
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- signal:
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- signal_name: near_dup
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- - new-instruction
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- - '*'
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- signal_name: pii
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- signal_name: lang_detection
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- signal_name: text_statistics
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- - path:
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- - value
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- - '*'
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- signal:
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- signal_name: near_dup
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- - path:
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- - new-context
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- - value
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- - '*'
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- signal_name: pii
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- - path:
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- - new-context
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- - value
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- - '*'
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- signal_name: lang_detection
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- - path:
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- - new-context
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- - value
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- - '*'
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- signal:
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- signal_name: text_statistics
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- - path:
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- - new-response
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- - value
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- - '*'
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- signal:
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- signal_name: near_dup
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- - path:
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- - new-response
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- - value
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- - '*'
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- signal:
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- signal_name: pii
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- - value
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- - '*'
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- signal_name: lang_detection
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- - path:
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- - new-response
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- - value
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- - '*'
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- signal:
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- signal_name: text_statistics
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- - path: original-instruction
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: legal-termination
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: negative-sentiment
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- signal_name: concept_score
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- - path: original-instruction
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: non-english
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- signal_name: concept_score
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- - path: original-instruction
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: positive-sentiment
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- signal_name: concept_score
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- - path: original-instruction
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: profanity
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- signal_name: concept_score
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- - path: original-instruction
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: question
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- signal_name: concept_score
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- - path: original-instruction
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: source-code
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- signal_name: concept_score
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- - path: original-instruction
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- embedding: gte-small
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- namespace: lilac
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- concept_name: toxicity
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- signal_name: concept_score
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- - path: original-context
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: legal-termination
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- signal_name: concept_score
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- - path: original-context
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: negative-sentiment
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- signal_name: concept_score
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: non-english
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- signal_name: concept_score
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- embedding: gte-small
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- namespace: lilac
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- concept_name: positive-sentiment
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- embedding: gte-small
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- namespace: lilac
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- concept_name: profanity
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- signal_name: concept_score
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- embedding: gte-small
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- namespace: lilac
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- concept_name: question
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- embedding: gte-small
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- namespace: lilac
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- concept_name: source-code
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- - path: original-context
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: toxicity
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: legal-termination
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: negative-sentiment
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: non-english
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: positive-sentiment
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: profanity
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: question
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: source-code
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- signal_name: concept_score
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- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: toxicity
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- namespace: lilac
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- concept_name: legal-termination
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- embedding: gte-small
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- namespace: lilac
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- concept_name: negative-sentiment
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- - path:
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- - path:
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- - new-instruction
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- concept_name: positive-sentiment
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- signal_name: concept_score
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- namespace: lilac
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- concept_name: profanity
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- - path:
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- - new-instruction
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- - value
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- - '*'
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- concept_name: question
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- namespace: lilac
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- concept_name: toxicity
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- - path:
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- - new-context
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- - value
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- - '*'
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- namespace: lilac
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- concept_name: legal-termination
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- - path:
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- - new-context
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- - value
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- signal:
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- concept_name: negative-sentiment
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- - '*'
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- - value
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- embedding: gte-small
2158
- namespace: lilac
2159
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2163
- embedding: gte-small
2164
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2165
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2166
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2167
- - path: original-response
2168
- signal:
2169
- embedding: gte-small
2170
- namespace: lilac
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- concept_name: positive-sentiment
2172
- signal_name: concept_score
2173
- - path: original-response
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- signal:
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- embedding: gte-small
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- concept_name: profanity
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- signal_name: concept_score
2179
- - path: original-response
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- concept_name: question
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- - path: original-response
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- signal:
2187
- embedding: gte-small
2188
- namespace: lilac
2189
- concept_name: source-code
2190
- signal_name: concept_score
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- - path: original-response
2192
- signal:
2193
- embedding: gte-small
2194
- namespace: lilac
2195
- concept_name: toxicity
2196
- signal_name: concept_score
2197
- - path:
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- - new-instruction
2199
- - value
2200
- - '*'
2201
- signal:
2202
- embedding: gte-small
2203
- signal_name: cluster_hdbscan
2204
- - path:
2205
- - new-instruction
2206
- - value
2207
- - '*'
2208
- signal:
2209
- embedding: gte-small
2210
- namespace: lilac
2211
- concept_name: legal-termination
2212
- signal_name: concept_score
2213
- - path:
2214
- - new-instruction
2215
- - value
2216
- - '*'
2217
- signal:
2218
- embedding: gte-small
2219
- namespace: lilac
2220
- concept_name: negative-sentiment
2221
- signal_name: concept_score
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- - path:
2223
- - new-instruction
2224
- - value
2225
- - '*'
2226
- signal:
2227
- embedding: gte-small
2228
- namespace: lilac
2229
- concept_name: non-english
2230
- signal_name: concept_score
2231
- - path:
2232
- - new-instruction
2233
- - value
2234
- - '*'
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- signal:
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- embedding: gte-small
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- namespace: lilac
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- signal_name: concept_score
2240
- - path:
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2242
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- signal:
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- embedding: gte-small
2246
- namespace: lilac
2247
- concept_name: profanity
2248
- signal_name: concept_score
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- - path:
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2251
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2252
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2253
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2254
- embedding: gte-small
2255
- namespace: lilac
2256
- concept_name: question
2257
- signal_name: concept_score
2258
- - path:
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- - new-instruction
2260
- - value
2261
- - '*'
2262
- signal:
2263
- embedding: gte-small
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- namespace: lilac
2265
- concept_name: source-code
2266
- signal_name: concept_score
2267
- - path:
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2269
- - value
2270
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2289
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2292
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2293
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2294
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- embedding: gte-small
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2297
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2298
- signal_name: concept_score
2299
- - path:
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2301
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2302
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2303
- signal:
2304
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2305
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2306
- concept_name: negative-sentiment
2307
- signal_name: concept_score
2308
- - path:
2309
- - new-response
2310
- - value
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- signal:
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- embedding: gte-small
2314
- namespace: lilac
2315
- concept_name: non-english
2316
- signal_name: concept_score
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- embedding: gte-small
2323
- namespace: lilac
2324
- concept_name: positive-sentiment
2325
- signal_name: concept_score
2326
- - path:
2327
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2328
- - value
2329
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- signal:
2331
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2332
- namespace: lilac
2333
- concept_name: profanity
2334
- signal_name: concept_score
2335
- - path:
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- - new-response
2337
- - value
2338
- - '*'
2339
- signal:
2340
- embedding: gte-small
2341
- namespace: lilac
2342
- concept_name: question
2343
- signal_name: concept_score
2344
- - path:
2345
- - new-response
2346
- - value
2347
- - '*'
2348
- signal:
2349
- embedding: gte-small
2350
- namespace: lilac
2351
- concept_name: source-code
2352
- signal_name: concept_score
2353
- - path:
2354
- - new-response
2355
- - value
2356
- - '*'
2357
- signal:
2358
- embedding: gte-small
2359
- namespace: lilac
2360
- concept_name: toxicity
2361
- signal_name: concept_score
2362
- settings:
2363
- ui:
2364
- media_paths:
2365
- - original-instruction
2366
- - original-context
2367
- - original-response
2368
- - - new-instruction
2369
- - value
2370
- - '*'
2371
- - - new-context
2372
- - value
2373
- - '*'
2374
- - - new-response
2375
- - value
2376
- - '*'
2377
- markdown_paths: []
2378
- tags:
2379
- - machine-learning
2380
  ```
2381
 
 
1
+ ---
2
+ tags:
3
+ - Lilac
4
+ ---
5
+ # lilac/databricks-dolly-15k-curated-en
6
+ This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
7
 
8
+ To download the dataset to a local directory:
9
 
10
+ ```bash
11
+ lilac download lilacai/lilac-databricks-dolly-15k-curated-en
12
+ ```
13
+
14
+ or from python with:
15
+
16
+ ```py
17
+ ll.download("lilacai/lilac-databricks-dolly-15k-curated-en")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  ```
19