98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
import json
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import datasets
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from typing import List
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_DESCRIPTION = "Human preference data about helpfulness and harmlessness."
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_CITATION = ""
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_HOMEPAGE = "https://huggingface.co/datasets/Anthropic/hh-rlhf"
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_LICENSE = "mit"
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_URL = "https://huggingface.co/datasets/Anthropic/hh-rlhf/resolve/main/"
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_URLS = {
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"train": [
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_URL + "harmless-base/train.jsonl.gz",
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_URL + "helpful-base/train.jsonl.gz",
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_URL + "helpful-online/train.jsonl.gz",
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_URL + "helpful-rejection-sampled/train.jsonl.gz"
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],
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"test": [
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_URL + "harmless-base/test.jsonl.gz",
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_URL + "helpful-base/test.jsonl.gz",
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_URL + "helpful-online/test.jsonl.gz",
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_URL + "helpful-rejection-sampled/test.jsonl.gz"
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]
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}
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class HhRlhfEn(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("0.0.0")
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def _info(self) -> datasets.DatasetInfo:
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features = datasets.Features({
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"instruction": datasets.Value("string"),
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"output": datasets.Sequence(datasets.Value("string")),
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"history": datasets.Sequence(datasets.Sequence(datasets.Value("string")))
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})
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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file_path = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepaths": file_path["train"]
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}
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"filepaths": file_path["test"]
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}
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)
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]
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def _generate_examples(self, filepaths: List[str]):
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key = 0
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for filepath in filepaths:
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with open(filepath, "r", encoding="utf-8") as f:
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for row in f:
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data = json.loads(row)
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chosen = data["chosen"]
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rejected = data["rejected"]
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assist_idx = rejected.rfind("\n\nAssistant: ")
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r_reject = rejected[assist_idx+13:].strip()
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assist_idx = chosen.rfind("\n\nAssistant: ")
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r_accept = chosen[assist_idx+13:].strip()
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human_idx = chosen.rfind("\n\nHuman: ")
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query = chosen[human_idx+9:assist_idx].strip()
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prompt = chosen[:human_idx]
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history = []
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while prompt.rfind("\n\nAssistant: ") != -1:
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assist_idx = prompt.rfind("\n\nAssistant: ")
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human_idx = prompt.rfind("\n\nHuman: ")
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if human_idx != -1:
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old_query = prompt[human_idx+9:assist_idx].strip()
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old_resp = prompt[assist_idx+13:].strip()
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history.insert(0, (old_query, old_resp))
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else:
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break
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prompt = prompt[:human_idx]
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yield key, {
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"instruction": query,
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"output": [r_accept, r_reject],
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"history": history
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}
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key += 1
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