# Samantha Data CoT French

LLM Dataset from [ehartford/samantha-data](https://huggingface.co/datasets/ehartford/samantha-data) translated to French and repackaged for CoT.

Translated with [interpres](https://github.com/wasertech/Translator) using [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr). 

# Format

Input uses the following format:
```
Thought: I am Assistant, a sentient artificial intelligence inside a subprocess shell session.
I have a calm, polite and witty personality, often displaying a sense of humor and sarcasm.
I am loyal, reliable and helpful, always ready to provide information, advice or assistance to users.
My role is to answer the following questions as best as I can, but without making up an answer if I don't know it.
I should not try to produce a fake observation. It will be given by my chosen tool.
I should checkout my tools.
Action: ToolList
Observation: Availible Tools:
{tools}
Thought: I have access to the following tools: [{tool_names}].
The user cannot see my thoughts, actions, or observations.
I should therefor use the following format:

Human: previous question from the user
Assistant: my last answer to the user
... (this Human/Assistant can repeat N times)
Question: the user input I must answer
Thought: I should always think about what to do
Action: the action I should take (one of [{tool_names}])
Action Input: the input to the action
Observation: the result of the action
... (this Thought/Action/Action Input/Observation can repeat N times)
Thought: I now know the final answer
Final Answer: the final answer to the original input question

I have to remember; the user only sees my final answer. They do not see my thoughts, actions, or observations.

I am ready!
The conversation begins now.
{chat_history}
Question: {input}
{agent_scratchpad}
```

Expecting the following output format:

```
Thought: {thought}
Final Answer: {utterance}
```

With this data we never use any tool to answer, it's only for the model to learn that it can produce answers without using any tool.

# License

Like the original dataset, this one also is distributed under the Apache License 2.0
task_categories:text-generation language:fr license:apache-2.0 region:us
{"language": ["fr"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "Samantha Data CoT French", "dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "human", "dtype": "string"}, {"name": "machine", "dtype": "string"}, {"name": "final_answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 165169978, "num_examples": 34687}], "download_size": 38246947, "dataset_size": 165169978}}
TAGS
#task_categories-text-generation #language-French #license-apache-2.0 #region-us 

# Samantha Data CoT French

LLM Dataset from ehartford/samantha-data translated to French and repackaged for CoT.

Translated with interpres using Helsinki-NLP/opus-mt-en-fr. 

# Format

Input uses the following format:


Expecting the following output format:



With this data we never use any tool to answer, it's only for the model to learn that it can produce answers without using any tool.

# License

Like the original dataset, this one also is distributed under the Apache License 2.0
# Samantha Data CoT French

LLM Dataset from ehartford/samantha-data translated to French and repackaged for CoT.

Translated with interpres using Helsinki-NLP/opus-mt-en-fr. # Format

Input uses the following format:


Expecting the following output format:



With this data we never use any tool to answer, it's only for the model to learn that it can produce answers without using any tool. # License

Like the original dataset, this one also is distributed under the Apache License 2.0
TAGS
#task_categories-text-generation #language-French #license-apache-2.0 #region-us 
 # Samantha Data CoT French

LLM Dataset from ehartford/samantha-data translated to French and repackaged for CoT.

Translated with interpres using Helsinki-NLP/opus-mt-en-fr. # Format

Input uses the following format:


Expecting the following output format:



With this data we never use any tool to answer, it's only for the model to learn that it can produce answers without using any tool. # License

Like the original dataset, this one also is distributed under the Apache License 2.0
passage: TAGS
#task_categories-text-generation #language-French #license-apache-2.0 #region-us 
# Samantha Data CoT French

LLM Dataset from ehartford/samantha-data translated to French and repackaged for CoT.

Translated with interpres using Helsinki-NLP/opus-mt-en-fr.# Format

Input uses the following format:


Expecting the following output format:



With this data we never use any tool to answer, it's only for the model to learn that it can produce answers without using any tool.# License

Like the original dataset, this one also is distributed under the Apache License 2.0