Commit
•
25a3330
1
Parent(s):
61affc5
Use data files in the Hub in JSON Lines
Browse files
biomrc.py
CHANGED
@@ -71,38 +71,35 @@ _HOMEPAGE = "https://github.com/PetrosStav/BioMRC_code"
|
|
71 |
|
72 |
_LICENSE = 'License information unavailable'
|
73 |
|
|
|
74 |
_URLS = {
|
75 |
"large": {
|
76 |
"A": {
|
77 |
-
"train": "
|
78 |
-
"val": "
|
79 |
-
"test": "
|
80 |
},
|
81 |
"B": {
|
82 |
-
"train": "
|
83 |
-
"val": "
|
84 |
-
"test": "
|
85 |
},
|
86 |
},
|
87 |
"small": {
|
88 |
"A": {
|
89 |
-
"train": "
|
90 |
-
"val": "
|
91 |
-
"test": "
|
92 |
},
|
93 |
"B": {
|
94 |
-
"train": "
|
95 |
-
"val": "
|
96 |
-
"test": "
|
97 |
},
|
98 |
},
|
99 |
"tiny": {
|
100 |
-
"A": {
|
101 |
-
|
102 |
-
},
|
103 |
-
"B": {
|
104 |
-
"test": "https://archive.org/download/biomrc_dataset/biomrc_tiny/dataset_tiny_B.json.gz"
|
105 |
-
},
|
106 |
},
|
107 |
}
|
108 |
|
@@ -212,46 +209,29 @@ class BiomrcDataset(datasets.GeneratorBasedBuilder):
|
|
212 |
|
213 |
if self.config.schema == "source":
|
214 |
with open(filepath, encoding="utf-8") as fp:
|
215 |
-
|
216 |
-
|
217 |
-
|
218 |
-
|
219 |
-
|
220 |
-
|
221 |
-
|
222 |
-
)
|
223 |
-
):
|
224 |
-
el = [self._parse_dict_from_entity(entity) for entity in el]
|
225 |
-
an = self._parse_dict_from_entity(an)
|
226 |
-
yield _id, {
|
227 |
-
"abstract": ab,
|
228 |
-
"title": ti,
|
229 |
-
"entities_list": el,
|
230 |
-
"answer": an,
|
231 |
-
}
|
232 |
elif self.config.schema == "bigbio_qa":
|
233 |
with open(filepath, encoding="utf-8") as fp:
|
234 |
uid = it.count(0)
|
235 |
-
|
236 |
-
|
237 |
-
zip(
|
238 |
-
biomrc["abstracts"],
|
239 |
-
biomrc["titles"],
|
240 |
-
biomrc["entities_list"],
|
241 |
-
biomrc["answers"],
|
242 |
-
)
|
243 |
-
):
|
244 |
# remove info such as code, label, synonyms from answer and choices
|
245 |
# f.e. @entity1 :: ('9606', 'Species') :: ['patients', 'patient']"
|
246 |
example = {
|
247 |
"id": next(uid),
|
248 |
"question_id": next(uid),
|
249 |
"document_id": next(uid),
|
250 |
-
"question":
|
251 |
"type": "multiple_choice",
|
252 |
-
"choices": [x.split(" :: ")[0] for x in
|
253 |
-
"context":
|
254 |
-
"answer": [
|
255 |
}
|
256 |
yield _id, example
|
257 |
|
|
|
71 |
|
72 |
_LICENSE = 'License information unavailable'
|
73 |
|
74 |
+
_BASE_URL = "https://huggingface.co/datasets/biomrc/resolve/main/data/"
|
75 |
_URLS = {
|
76 |
"large": {
|
77 |
"A": {
|
78 |
+
"train": _BASE_URL + "biomrc_large/dataset_train.jsonl.gz",
|
79 |
+
"val": _BASE_URL + "biomrc_large/dataset_val.jsonl.gz",
|
80 |
+
"test": _BASE_URL + "biomrc_large/dataset_test.jsonl.gz",
|
81 |
},
|
82 |
"B": {
|
83 |
+
"train": _BASE_URL + "biomrc_large/dataset_train_B.jsonl.gz",
|
84 |
+
"val": _BASE_URL + "biomrc_large/dataset_val_B.jsonl.gz",
|
85 |
+
"test": _BASE_URL + "biomrc_large/dataset_test_B.jsonl.gz",
|
86 |
},
|
87 |
},
|
88 |
"small": {
|
89 |
"A": {
|
90 |
+
"train": _BASE_URL + "biomrc_small/dataset_train_small.jsonl.gz",
|
91 |
+
"val": _BASE_URL + "biomrc_small/dataset_val_small.jsonl.gz",
|
92 |
+
"test": _BASE_URL + "biomrc_small/dataset_test_small.jsonl.gz",
|
93 |
},
|
94 |
"B": {
|
95 |
+
"train": _BASE_URL + "biomrc_small/dataset_train_small_B.jsonl.gz",
|
96 |
+
"val": _BASE_URL + "biomrc_small/dataset_val_small_B.jsonl.gz",
|
97 |
+
"test": _BASE_URL + "biomrc_small/dataset_test_small_B.jsonl.gz",
|
98 |
},
|
99 |
},
|
100 |
"tiny": {
|
101 |
+
"A": {"test": _BASE_URL + "biomrc_tiny/dataset_tiny.jsonl.gz"},
|
102 |
+
"B": {"test": _BASE_URL + "biomrc_tiny/dataset_tiny_B.jsonl.gz"},
|
|
|
|
|
|
|
|
|
103 |
},
|
104 |
}
|
105 |
|
|
|
209 |
|
210 |
if self.config.schema == "source":
|
211 |
with open(filepath, encoding="utf-8") as fp:
|
212 |
+
for _id, line in enumerate(fp):
|
213 |
+
example = json.loads(line)
|
214 |
+
example["entities_list"] = [
|
215 |
+
self._parse_dict_from_entity(entity) for entity in example["entities_list"]
|
216 |
+
]
|
217 |
+
example["answer"] = self._parse_dict_from_entity(example["answer"])
|
218 |
+
yield _id, example
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
219 |
elif self.config.schema == "bigbio_qa":
|
220 |
with open(filepath, encoding="utf-8") as fp:
|
221 |
uid = it.count(0)
|
222 |
+
for _id, line in enumerate(fp):
|
223 |
+
example = json.loads(line)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
224 |
# remove info such as code, label, synonyms from answer and choices
|
225 |
# f.e. @entity1 :: ('9606', 'Species') :: ['patients', 'patient']"
|
226 |
example = {
|
227 |
"id": next(uid),
|
228 |
"question_id": next(uid),
|
229 |
"document_id": next(uid),
|
230 |
+
"question": example["title"],
|
231 |
"type": "multiple_choice",
|
232 |
+
"choices": [x.split(" :: ")[0] for x in example["entities_list"]],
|
233 |
+
"context": example["abstract"],
|
234 |
+
"answer": [example["answer"].split(" :: ")[0]],
|
235 |
}
|
236 |
yield _id, example
|
237 |
|