File size: 8,870 Bytes
e250e6c 09d032f e250e6c c3386a7 e250e6c c3386a7 e250e6c 09d032f e250e6c 17278ac e250e6c 17278ac e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c 33297f1 e250e6c 33297f1 e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 33297f1 c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c 33297f1 c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c c3386a7 e250e6c |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 |
import json
import os
import datasets
from datasets import DatasetInfo, DownloadManager
class DuReaderConfig(datasets.BuilderConfig):
"""Config for DuReader dataset"""
def __init__(self, name, data_url, **kwargs):
super().__init__(name=name, version=datasets.Version("1.0.0", ""))
self.data_url = data_url
class DuReader(datasets.GeneratorBasedBuilder):
""" """
BUILDER_CONFIGS = [
DuReaderConfig(
name="robust",
data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_robust-data.tar.gz",
),
DuReaderConfig(
name="checklist",
data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_checklist-data.tar.gz",
),
# DuReaderConfig(
# name="yesno",
# data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_yesno-data.tar.gz",
# ),
]
def _info(self) -> DatasetInfo:
if self.config.name == "robust":
features = {
"id": datasets.Value("string"),
"context": datasets.Value("string"),
"question": datasets.Value("string"),
"answers": datasets.Sequence(
{
"text": datasets.Value("string"),
"answer_start": datasets.Value("int32"),
}
),
}
return datasets.DatasetInfo(
description="",
citation="",
homepage="",
features=datasets.Features(features),
)
if self.config.name == "checklist":
features = {
"id": datasets.Value("string"),
"title": datasets.Value("string"),
"context": datasets.Value("string"),
"question": datasets.Value("string"),
"is_impossible": datasets.Value("string"),
"answers": datasets.Sequence(
{
"text": datasets.Value("string"),
"answer_start": datasets.Value("int32"),
}
),
"type": datasets.Value("string"),
}
return datasets.DatasetInfo(
description="",
citation="",
homepage="",
features=datasets.Features(features),
)
return None
def _split_generators(self, dl_manager: DownloadManager):
"""Split generators"""
def _build(train_files, valid_files, test_files):
train_split = datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"data_file": train_files,
"split": "train",
},
)
valid_split = datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"data_file": valid_files,
"split": "dev",
},
)
test_split = datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"data_file": test_files,
"split": "test",
},
)
return [train_split, valid_split, test_split]
if self.config.name == "robust":
dl_dir = dl_manager.download_and_extract(self.config.data_url)
splits = _build(
train_files=os.path.join(dl_dir, "dureader_robust-data", "train.json"),
valid_files=os.path.join(dl_dir, "dureader_robust-data", "dev.json"),
test_files=os.path.join(dl_dir, "dureader_robust-data", "test.json"),
)
return splits
if self.config.name == "checklist":
dl_dir = dl_manager.download_and_extract(self.config.data_url)
splits = _build(
train_files=os.path.join(dl_dir, "dureader_checklist-data", "train.json"),
valid_files=os.path.join(dl_dir, "dureader_checklist-data", "dev.json"),
test_files=os.path.join(dl_dir, "dureader_checklist-data", "test.json"),
)
return splits
return []
def _generate_examples(self, data_file, split):
if self.config.name == "robust":
if split == "train" or split == "dev":
print("Processing split: ", split)
return self._generate_robust_examples(data_file)
print("Processing split: ", split)
return self._generate_robust_test_examples(data_file)
if self.config.name == "checklist":
if split == "train" or split == "dev":
print("Processing split: ", split)
return self._generate_checklist_examples(data_file)
print("Processing split: ", split)
return self._generate_checklist_test_examples(data_file)
def _generate_robust_examples(self, data_file):
with open(data_file, mode="rt", encoding="utf-8") as fin:
data = json.load(fin)["data"]
for d in data:
for p in d["paragraphs"]:
context = p["context"]
for qa in p["qas"]:
starts = [x["answer_start"] for x in qa["answers"]]
answers = [x["text"] for x in qa["answers"]]
example = {
"id": qa["id"],
"context": context,
"question": qa["question"],
"answers": {
"text": answers,
"answer_start": starts,
},
}
yield example["id"], example
def _generate_robust_test_examples(self, data_file):
with open(data_file, mode="rt", encoding="utf-8") as fin:
data = json.load(fin)["data"]
for d in data:
for p in d["paragraphs"]:
context = p["context"]
for qa in p["qas"]:
qid = qa["id"]
example = {
"id": qid,
"context": context,
"question": qa["question"],
"answers": {
"text": [],
"answer_start": [],
},
}
yield example["id"], example
def _generate_checklist_examples(self, data_file):
with open(data_file, mode="rt", encoding="utf-8") as fin:
data = json.load(fin)["data"]
exist_ids = set()
for d in data:
for p in d["paragraphs"]:
title = p["title"].strip()
context = p["context"].strip()
for qa in p["qas"]:
qid = qa["id"]
# skip dumplicate keys
if qid in exist_ids:
continue
exist_ids.add(qid)
starts = [x["answer_start"] for x in qa["answers"]]
answers = [x["text"].strip() for x in qa["answers"]]
example = {
"id": qid,
"title": title,
"context": context,
"question": qa["question"].strip(),
"is_impossible": qa["is_impossible"],
"answers": {
"text": answers,
"answer_start": starts,
},
"type": qa["type"].strip(),
}
yield example["id"], example
def _generate_checklist_test_examples(self, data_file):
with open(data_file, mode="rt", encoding="utf-8") as fin:
data = json.load(fin)["data"]
exist_ids = set()
for d in data:
for p in d["paragraphs"]:
title = p["title"]
context = p["context"]
for qa in p["qas"]:
qid = qa["id"]
if qid in exist_ids:
continue
exist_ids.add(qid)
example = {
"id": qid,
"title": title,
"context": context,
"question": qa["question"],
"is_impossible": None,
"answers": {
"text": [],
"answer_start": [],
},
"type": None,
}
yield example["id"], example
|