datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Her-Samantha-Style
Ultra-High Quality Samantha Dataset
A meticulously curated conversational AI dataset designed to capture the essence of Samantha from the movie "Her" - characterized by emotional intelligence, philosophical depth, and authentic conversational patterns.
Dataset Summary
This dataset contains 20,000 ultra-high quality conversational responses that have been systematically filtered and scored based on Samantha's distinctive characteristics from the 2013 film "Her". Each… See the full description on the dataset page: https://huggingface.co/datasets/WasamiKirua/Her-Samantha-Style.samantha-data-cot-en
Samantha Data CoT English
LLM Dataset from ehartford/samantha-data repackaged for CoT.
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… See the full description on the dataset page: https://huggingface.co/datasets/pharaouk/samantha-data-cot-en.samantha-data-fr
Samantha Data — French Translation
Traduction française de cognitivecomputations/samantha-data, le dataset original de conversations pour une IA compagne inspirée de Samantha dans le film Her.
Contenu
6534 conversations, 69374 tours de dialogue — couverture intégrale du dataset original.
Format identique à l'original (ShareGPT) : [{"id": "...", "conversations": [{"from": "human"|"gpt", "value": "..."}]}].
Français naturel et idiomatique, pensé pour être lu à voix… See the full description on the dataset page: https://huggingface.co/datasets/SaucisseduNord/samantha-data-fr.samantha-data-cot-fr
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:
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… See the full description on the dataset page: https://huggingface.co/datasets/wasertech/samantha-data-cot-fr.samantha-data-cot-en
Samantha Data CoT English
LLM Dataset from ehartford/samantha-data repackaged for CoT.
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… See the full description on the dataset page: https://huggingface.co/datasets/wasertech/samantha-data-cot-en.Samantha-data-single-line-Mixed-V1import json
# Load the provided data
with open("path_to_your_original_file.jsonl", "r", encoding="utf-8") as file:
mixed_data = [json.loads(line) for line in file.readlines()]
# Convert the mixed data by extracting all possible Q&A pairs from each conversation
reformatted_data_complete = []
for conversation in mixed_data:
text = conversation['text']
# Split the text into segments based on the prefixes
segments = [segment for segment in text.split("###") if… See the full description on the dataset page: https://huggingface.co/datasets/RoversX/Samantha-data-single-line-Mixed-V1.