Afonso Oliveira commited on
Commit ·
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Parent(s): deb7ec0
Clean scripts
Browse files
.gitattributes
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@@ -17,3 +17,4 @@
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test.zip filter=lfs diff=lfs merge=lfs -text
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train.zip filter=lfs diff=lfs merge=lfs -text
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validation.zip filter=lfs diff=lfs merge=lfs -text
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test.zip filter=lfs diff=lfs merge=lfs -text
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train.zip filter=lfs diff=lfs merge=lfs -text
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validation.zip filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -1,3 +1,42 @@
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# DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
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The data is based on the original distribution ([link to original website](http://yanran.li/dailydialog)) ([link to paper](https://aclanthology.org/I17-1099/)).
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---
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configs:
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- config_name: "full"
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data_files:
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- split: "train"
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path: "data/train-*.parquet"
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- split: "validation"
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path: "data/validation-*.parquet"
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- split: "test"
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path: "data/test-*.parquet"
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dataset_info:
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config_name: "full"
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features:
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- name: "id"
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dtype: "string"
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- name: "acts"
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sequence:
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dtype: "int8"
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- name: "emotions"
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sequence:
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dtype: "int8"
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- name: "utterances"
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sequence:
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dtype: "string"
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splits:
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- name: "train"
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num_bytes: 3489563
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num_examples: 11118
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- name: "validation"
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num_bytes: 333393
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num_examples: 1000
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- name: "test"
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num_bytes: 329284
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num_examples: 1000
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download_size: 4152240
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dataset_size: 4152240
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---
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# DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
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The data is based on the original distribution ([link to original website](http://yanran.li/dailydialog)) ([link to paper](https://aclanthology.org/I17-1099/)).
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dailydialog.py
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-
import io
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import json
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import zipfile
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from itertools import zip_longest
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from pathlib import Path
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import datasets
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from datasets.features import Sequence
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_SPLITS = {
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"train": "./train.zip",
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"validation": "./validation.zip",
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"test": "./test.zip",
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}
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_DESCRIPTION = """
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The DailyDialog dataset as provided in the original form with a bit of preprocessing applied to enable dast prototyping.
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The splits are as in the original distribution.
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"""
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_CITATION = """
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@inproceedings{li2017dailydialog,
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title={DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset},
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author={Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi},
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booktitle={Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
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pages={986--995},
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year={2017}
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}
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"""
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_LICENSE = "Like the original DailyDialogue dataset, this dataset is released under the CC BY-NC-SA 4.0."
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_HOMEPAGE = "http://yanran.li/dailydialog"
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class DailyDialog(datasets.GeneratorBasedBuilder):
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"""
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The DailyDialog dataset as provided in the original form with a bit of preprocessing applied to enable dast prototyping.
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The splits are as in the original distribution.
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"""
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="full", version=VERSION, description="The full dataset."
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"id": datasets.Value("string"),
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"acts": Sequence(datasets.Value("int8")),
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"emotions": Sequence(datasets.Value("int8")),
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"utterances": Sequence(datasets.Value("string")),
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}
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),
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citation=_CITATION,
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license=_LICENSE,
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homepage=_HOMEPAGE,
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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dl_paths = dl_manager.download(_SPLITS)
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return [
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datasets.SplitGenerator(
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name=split_name,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={"data_path": split_path},
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)
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for split_name, split_path in dl_paths.items()
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]
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def _generate_examples(self, data_path: str):
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split_name: str = str(Path(data_path).stem)
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with zipfile.ZipFile(data_path) as zip_file:
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files_list = list(map(str, zip_file.namelist()))
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acts_file = next((f for f in files_list if "act" in f.lower()))
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emotions_file = next((f for f in files_list if "emotion" in f.lower()))
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utterances_file = next(
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(
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f
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for f in files_list
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if "act" not in f.lower()
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and "emotion" not in f.lower()
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and "dialogues" in f.lower()
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)
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)
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acts_file = io.TextIOWrapper(
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zip_file.open(acts_file),
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encoding="utf-8",
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)
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emotions_file = io.TextIOWrapper(
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zip_file.open(emotions_file),
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encoding="utf-8",
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)
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utterances_file = io.TextIOWrapper(
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zip_file.open(utterances_file),
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encoding="utf-8",
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)
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sentinel = object()
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misalignments = 0
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for idx, combo in enumerate(
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zip_longest(
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acts_file, emotions_file, utterances_file, fillvalue=sentinel
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)
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):
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if sentinel in combo:
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raise ValueError("Iterables have different lengths")
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acts, emos, utts = combo
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acts = [int(a.strip()) for a in acts.strip().split(" ")]
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emos = [int(a.strip()) for a in emos.strip().split(" ")]
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utts = [
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a.strip() for a in utts.strip().strip("__eou__").split("__eou__")
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]
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lens = dict(utts_len=len(utts), acts_len=len(acts), emos_len=len(emos))
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assert len(utts) == len(acts), lens
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assert len(acts) == len(emos), lens
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item = {
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"id": f"{split_name}_{idx}",
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"acts": acts,
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"emotions": emos,
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"utterances": utts,
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}
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yield item["id"], item
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test.zip → data/test-00000-of-00001.parquet
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:15fa23cff86374c12f4730d103bb5d418ecaf995dc8bc8241952217d61b9612e
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size 329284
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train.zip → data/train-00000-of-00001.parquet
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c5e8d62f79360d4d95d94b727550c788c04f92fc351f127e6bebbafde39cc5a
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size 3489563
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validation.zip → data/validation-00000-of-00001.parquet
RENAMED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:db3d0f5f52f03dd6efc5b3b8729fde2cbffada6bb5b1c7e2d6f6caf093463f5a
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size 333393
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