File size: 2,750 Bytes
f0d6538 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 | import base64
import io
import os
from typing import List
import pandas as pd
from datasets import load_dataset
from tqdm import tqdm
def write_items_to_disk(items: List[dict], output_dir: str, n_parts: int = 1):
part_size = len(items) // n_parts
remainder = len(items) % n_parts
os.makedirs(output_dir, exist_ok=True)
offset = 0
for part_nb in range(n_parts):
next_offset = offset + part_size
if part_nb < remainder:
next_offset += 1
df = pd.DataFrame(items[offset:next_offset])
df.to_json(
os.path.join(output_dir, f"part-{part_nb:04}.jsonl"),
orient="records",
lines=True,
)
offset = next_offset
def download_smoltalk_10k(output_dir: str, n_parts: int = 1):
print("Loading smoltalk_10k dataset")
dataset = load_dataset("maharnab/smol-smoltalk-10k", split="train")
# Convert into the required format
items = []
for i, row in enumerate(tqdm(dataset)):
prompt = row["messages"]
items.append({"prompt": prompt, "extra_info": {"item_id": i}})
# Split to parts and write to disk
print("Writing to disk")
write_items_to_disk(
items,
output_dir=os.path.join(output_dir, "smoltalk_10k", "train"),
n_parts=n_parts,
)
def download_geo3k(output_dir: str, n_parts: int = 1):
print("Loading geo3k dataset")
dataset = load_dataset("hiyouga/geometry3k", split="train")
# Convert into the required format
print("Forming conversations")
items = []
for i, row in enumerate(tqdm(dataset)):
images = row["images"]
problem = row["problem"]
answer = row["answer"]
prompt = [
{"role": "user", "content": problem},
{"role": "assistant", "content": f"<think>Model is thinking</think><answer>{answer}</answer>"},
]
image_elements = []
for image in images:
buf = io.BytesIO()
image.save(buf, format="PNG")
image_bytes = buf.getvalue()
image_b64 = base64.b64encode(image_bytes).decode()
image_elements.append({"type": "image", "image": f"data:image/png;base64,{image_b64}"})
item = {"prompt": prompt, "images": image_elements, "extra_info": {"item_id": i}}
items.append(item)
# Split to parts and write to disk
print("Writing to disk")
write_items_to_disk(
items,
output_dir=os.path.join(output_dir, "geo3k", "train"),
n_parts=n_parts,
)
def main():
output_dir = "./sample_data"
n_parts = 128
download_smoltalk_10k(output_dir, n_parts=n_parts)
download_geo3k(output_dir, n_parts=n_parts)
if __name__ == "__main__":
main()
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