metadata
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 7312277132
num_examples: 2029517
download_size: 4291600198
dataset_size: 7312277132
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
from datasets import load_dataset
faq = load_dataset(
"styal/filtered-finephrase-faq",
split="train[:50%]",
)
tutorial = load_dataset(
"styal/filtered-finephrase-tutorial",
split="train[:50%]",
)
table = load_dataset(
"styal/filtered-finephrase-table",
split="train[:50%]",
)
math = load_dataset(
"styal/filtered-finephrase-math",
split="train[:40%]",
)
py = load_dataset(
"styal/filtered-python-edu.eng",
split="train[:20%]",
)
faq = faq.remove_columns([col for col in faq.column_names if col != "text"])
math = math.remove_columns([col for col in math.column_names if col != "text"])
table = table.remove_columns([col for col in table.column_names if col != "text"])
tutorial = tutorial.remove_columns([col for col in tutorial.column_names if col != "text"])
py = py.remove_columns([col for col in py.column_names if col != "text"])
from datasets import concatenate_datasets
merged = concatenate_datasets([faq, math, table, py, tutorial])