Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Language Creators:
found
Annotations Creators:
no-annotation
License:
| from datasets import load_dataset | |
| from itertools import islice | |
| import sys | |
| import time | |
| from tqdm import tqdm | |
| from transformers import AutoTokenizer | |
| from itertools import islice | |
| import json | |
| NUM_PROC = 12 | |
| dataset = load_dataset("hoskinson-center/proof-pile") | |
| tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20B") | |
| def length(example): | |
| return {"length": [len(x) for x in tokenizer(example["text"])["input_ids"]]} | |
| dataset = dataset.map(length, batched=True, num_proc=NUM_PROC) | |
| stats = dict() | |
| for x in tqdm(dataset["train"]): | |
| meta = json.loads(x["meta"]) | |
| if "config" in meta.keys(): | |
| config = meta["config"] | |
| elif "set_name" in meta.keys(): | |
| config = meta["set_name"] | |
| elif "subset_name" in meta.keys(): | |
| path = meta["file"] | |
| config = path[:path.index("/")] | |
| else: | |
| print(x) | |
| raise KeyError() | |
| if config not in stats.keys(): | |
| stats[config] = dict() | |
| stats[config]["bytes"] = 0 | |
| stats[config]["tokens"] = 0 | |
| stats[config]["bytes"] += len(x["text"].encode("utf-8")) | |
| stats[config]["tokens"] += x["length"] | |
| print(json.dumps(stats, indent=2)) | |
| print("saving stats...") | |
| with open("stats.json", "w") as f: | |
| f.write(json.dumps(stats, indent=2)) | |