# Dataset Card for "instruction-pilot-outputs-greedy"

This dataset contains model outputs generated from the human demonstrations provided in [`HuggingFaceH4/instruction-pilot-prompts`](https://huggingface.co/datasets/HuggingFaceH4/instruction-pilot-prompts). 

To convert each language model into a dialogue agent, we prepended the following [LangChain prompt](https://github.com/hwchase17/langchain/blob/bfabd1d5c0bf536fdd1e743e4db8341e7dfe82a9/langchain/chains/conversation/prompt.py#LL4C21-L9C7) to each input:

```
The following is a friendly conversation between a human and an AI. \
The AI is talkative and provides lots of specific details from its context. \
If the AI does not know the answer to a question, it truthfully says it does not know.

Human: {input}
AI:
```

For reproducibility purposes, we used deterministic text generation (`temperature=0`) and set `max_new_tokens=100` (which is about the mean lenght of the Self-Instruct outputs).
region:us
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "source", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "outputs", "list": [{"name": "model", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 243208, "num_examples": 375}], "download_size": 100726, "dataset_size": 243208}}
TAGS
#region-us 

# Dataset Card for "instruction-pilot-outputs-greedy"

This dataset contains model outputs generated from the human demonstrations provided in 'HuggingFaceH4/instruction-pilot-prompts'. 

To convert each language model into a dialogue agent, we prepended the following LangChain prompt to each input:



For reproducibility purposes, we used deterministic text generation ('temperature=0') and set 'max_new_tokens=100' (which is about the mean lenght of the Self-Instruct outputs).
# Dataset Card for "instruction-pilot-outputs-greedy"

This dataset contains model outputs generated from the human demonstrations provided in 'HuggingFaceH4/instruction-pilot-prompts'. 

To convert each language model into a dialogue agent, we prepended the following LangChain prompt to each input:



For reproducibility purposes, we used deterministic text generation ('temperature=0') and set 'max_new_tokens=100' (which is about the mean lenght of the Self-Instruct outputs).
TAGS
#region-us 
 # Dataset Card for "instruction-pilot-outputs-greedy"

This dataset contains model outputs generated from the human demonstrations provided in 'HuggingFaceH4/instruction-pilot-prompts'. 

To convert each language model into a dialogue agent, we prepended the following LangChain prompt to each input:



For reproducibility purposes, we used deterministic text generation ('temperature=0') and set 'max_new_tokens=100' (which is about the mean lenght of the Self-Instruct outputs).
passage: TAGS
#region-us 
# Dataset Card for "instruction-pilot-outputs-greedy"

This dataset contains model outputs generated from the human demonstrations provided in 'HuggingFaceH4/instruction-pilot-prompts'. 

To convert each language model into a dialogue agent, we prepended the following LangChain prompt to each input:



For reproducibility purposes, we used deterministic text generation ('temperature=0') and set 'max_new_tokens=100' (which is about the mean lenght of the Self-Instruct outputs).