|
import os |
|
import pandas as pd |
|
import datasets |
|
|
|
class sato(datasets.GeneratorBasedBuilder): |
|
"""The sato dataset""" |
|
|
|
def _info(self): |
|
features = datasets.Features( |
|
{ |
|
"table_id": datasets.Value("string"), |
|
"col_idx": datasets.Value("string"), |
|
"label": datasets.Value("string"), |
|
"label_id": datasets.Value("string"), |
|
"data": datasets.Value("string"), |
|
} |
|
) |
|
|
|
|
|
|
|
|
|
return datasets.DatasetInfo( |
|
features=features |
|
) |
|
|
|
def _split_generators(self, dl_manager): |
|
sato_data = "https://huggingface.co/datasets/shivangibithel/SATO/blob/main" |
|
|
|
train_file1 = "msato_cv_0.csv" |
|
train_file2 = "msato_cv_1.csv" |
|
train_file3 = "msato_cv_2.csv" |
|
dev_file = "msato_cv_3.csv" |
|
test_file = "msato_cv_4.csv" |
|
|
|
return [ |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TRAIN, |
|
|
|
gen_kwargs={"main_filepath": os.path.join(sato_data, train_file1)}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TEST, |
|
|
|
gen_kwargs={"main_filepath": os.path.join(sato_data, test_file)}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.VALIDATION, |
|
|
|
gen_kwargs={"main_filepath": os.path.join(sato_data, dev_file)}, |
|
), |
|
] |
|
|
|
def _generate_examples(self, main_filepath): |
|
df = pd.read_csv(main_filepath, encoding="utf8", sep=",") |
|
for ind in df.index: |
|
table_id = df['table_id'][ind] |
|
col_idx = df['col_idx'][ind] |
|
label = df['class'][ind] |
|
label_id = df['class_id'][ind] |
|
data = df['data'][ind] |
|
yield ind, { |
|
"table_id": table_id, |
|
"col_idx":col_idx, |
|
"label": label, |
|
"label_id": label_id, |
|
"data": data, |
|
} |