Datasets:
Tasks:
Translation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Tags:
code
License:
File size: 2,829 Bytes
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from random_data import generate_random_byte_array
import json
import os
import random
import base64
def base64_encode_byte_array(byte_array):
return base64.b64encode(byte_array).decode('utf-8')
def generate_dataset_item(seed):
length = random.Random(seed + 1000).randint(0, 127)
byte_array = generate_random_byte_array(length=length, seed=seed + 1001)
output_formats = [
'hex',
'json'
]
output_format = random.Random(seed + 1002).choice(output_formats)
names_hex = [
'Hexadecimal',
'hexadecimal',
'hex',
'Hex',
'HEX',
]
names_json = [
'Json',
'json',
'JSON',
]
name_output = None
if output_format == 'hex':
name_output = random.Random(seed + 1003).choice(names_hex)
else:
if output_format == 'json':
name_output = random.Random(seed + 1004).choice(names_json)
name_inputs = [
'base64',
'Base64',
'BASE64',
]
name_input = random.Random(seed + 1005).choice(name_inputs)
instructions = [
f'Decode {name_input} to {name_output}',
f'decode {name_input} to {name_output}',
f'convert {name_input} to {name_output}',
f'Convert {name_input} to {name_output}',
f'Transform {name_input} to {name_output}',
f'transform {name_input} to {name_output}',
f'Change {name_input} to {name_output}',
f'change {name_input} to {name_output}',
f'{name_input} to {name_output}',
f'{name_output} from {name_input}',
]
instruction = random.Random(seed + 1006).choice(instructions)
input = base64_encode_byte_array(byte_array)
output = None
if output_format == 'hex':
output = byte_array.hex()
else:
if output_format == 'json':
output = json.dumps(list(byte_array), separators=(',', ':'))
dict = {
'instruction': instruction,
'input': input,
'output': output
}
return dict
def generate_dataset(max_num_samples=1000, max_byte_size=1024*1024, seed_start=0):
dataset = []
dataset_byte_size = 0
for i in range(max_num_samples):
item = generate_dataset_item(seed_start + i)
bytes = len(json.dumps(item))
if dataset_byte_size + bytes > max_byte_size:
break
dataset_byte_size += bytes
dataset.append(item)
return dataset
dataset = generate_dataset(
max_num_samples=50000,
max_byte_size=1024*1024*20,
)
# Save dataset to file
filename = 'base64-decode-v1.jsonl'
with open(filename, 'w') as f:
for item in dataset:
f.write(json.dumps(item) + '\n')
# Summary
file_size = os.path.getsize(filename)
print(f"Generated {len(dataset)} samples, saved to {filename}, file size: {file_size} bytes.")
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