datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
philosophy-plato-qa
Dataset Structure-- jsonl
{
"question": "QUESTION", // string
"context": "CONTEXT", // string
"target": "ANSWER" // string
}
Based on the Stanford Encyclopedia of Philosophy.
Datasets used:
SEP Articles: hugfaceguy0001/stanford_plato
Q&A Pairs: sayhan/strix-philosophy-qa
Data Collection and Processing
Compile data from both datasets -- python script
you can find a raw version for RAG/long context length models here
Dynamically find chunks of main_text… See the full description on the dataset page: https://huggingface.co/datasets/zayzay58/philosophy-plato-qa.platos_dialgouesplato-rings-6kplatos_socratesphilosophy-plato-qa-rawraw version of my philosophy-plato-qa
intended for use with RAG or long context lenght models
data format (.jsonl):
{
"label": "str",
"metadata": {
"pubinfo": "str",
"url": "https://plato.stanford.edu/entries/{label}/",
"related_entries": ["../{label}/", "../{label}/"]
},
"preamble": "str",
"main_text": "str",
"qa_pairs": [
{"question": "q1", "answer": "a1"},
{"question": "qN", "answer": "aN"}
]
}
platos_socrates_no_contextplato-data-setplato-multiobj