falcontreatred/synthetic-gpt-10M-general-50MB

datasets # dataset from datasets import load_dataset ds = load_dataset("falcontreatred/synthetic-gpt-10M-general-50MB") pandas # pandas import pandas as pd df = pd.read_json("hf://datasets/falcontreatred/synthetic-gpt-10M-general-50MB/synthetic-gpt-10M-general-50MB-v1.jsonl", lines=True) polars # polars import dask.dataframe as dd df = pl.read_ndjson("hf://datasets/falcontreatred/synthetic-gpt-10M-general-50MB/synthetic-gpt-10M-general-50MB-v1.jsonl") croissant # croissant from… See the full description on the dataset page: https://huggingface.co/datasets/falcontreatred/synthetic-gpt-10M-general-50MB.