Datasets:
Create sv-ident.py
Browse files- sv-ident.py +125 -0
sv-ident.py
ADDED
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# coding=utf-8
|
2 |
+
# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
|
3 |
+
#
|
4 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
5 |
+
# you may not use this file except in compliance with the License.
|
6 |
+
# You may obtain a copy of the License at
|
7 |
+
#
|
8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
9 |
+
#
|
10 |
+
# Unless required by applicable law or agreed to in writing, software
|
11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
13 |
+
# See the License for the specific language governing permissions and
|
14 |
+
# limitations under the License.
|
15 |
+
|
16 |
+
# Lint as: python3
|
17 |
+
"""Survey Variable Identification (SV-Ident) Corpus."""
|
18 |
+
|
19 |
+
import csv
|
20 |
+
import random
|
21 |
+
|
22 |
+
import datasets
|
23 |
+
|
24 |
+
|
25 |
+
# TODO: Add BibTeX citation
|
26 |
+
_CITATION = """\
|
27 |
+
@misc{sv-ident,
|
28 |
+
author={vadis-project},
|
29 |
+
title={SV-Ident},
|
30 |
+
year={2022},
|
31 |
+
url={https://github.com/vadis-project/sv-ident},
|
32 |
+
}
|
33 |
+
"""
|
34 |
+
|
35 |
+
_DESCRIPTION = """\
|
36 |
+
The SV-Ident corpus (version 0.3) is a collection of 4,248 expert-annotated English
|
37 |
+
and German sentences from social science publications, supporting the task of
|
38 |
+
multi-label text classification.
|
39 |
+
"""
|
40 |
+
|
41 |
+
_HOMEPAGE = "https://github.com/vadis-project/sv-ident"
|
42 |
+
|
43 |
+
# TODO: Add the licence
|
44 |
+
# _LICENSE = ""
|
45 |
+
|
46 |
+
_URLS = {
|
47 |
+
"train": "https://raw.githubusercontent.com/vadis-project/sv-ident/9962c3274444ce84c59d42e2a6f8c0958ed15a26/data/train/data.tsv",
|
48 |
+
"trial": "https://github.com/vadis-project/sv-ident/tree/9962c3274444ce84c59d42e2a6f8c0958ed15a26/data/trial",
|
49 |
+
}
|
50 |
+
|
51 |
+
|
52 |
+
class SVIdent(datasets.GeneratorBasedBuilder):
|
53 |
+
"""Survey Variable Identification (SV-Ident) Corpus."""
|
54 |
+
|
55 |
+
VERSION = datasets.Version("0.3.0")
|
56 |
+
|
57 |
+
def _info(self):
|
58 |
+
features = datasets.Features(
|
59 |
+
{
|
60 |
+
"sentence": datasets.Value("string"),
|
61 |
+
"is_variable": datasets.ClassLabel(names=["0", "1"]),
|
62 |
+
"variable": datasets.Sequence(datasets.Value(dtype="string")),
|
63 |
+
"research_data": datasets.Sequence(datasets.Value(dtype="string")),
|
64 |
+
"doc_id": datasets.Value("string"),
|
65 |
+
"uuid": datasets.Value("string"),
|
66 |
+
"lang": datasets.Value("string"),
|
67 |
+
}
|
68 |
+
)
|
69 |
+
|
70 |
+
return datasets.DatasetInfo(
|
71 |
+
description=_DESCRIPTION,
|
72 |
+
features=features,
|
73 |
+
supervised_keys=("sentence", "is_variable"),
|
74 |
+
homepage=_HOMEPAGE,
|
75 |
+
# license=_LICENSE,
|
76 |
+
citation=_CITATION,
|
77 |
+
)
|
78 |
+
|
79 |
+
def _split_generators(self, dl_manager):
|
80 |
+
"""Returns SplitGenerators."""
|
81 |
+
filepath = dl_manager.download(_URLS["train"])
|
82 |
+
return [
|
83 |
+
datasets.SplitGenerator(
|
84 |
+
name=datasets.Split.TRAIN,
|
85 |
+
gen_kwargs={
|
86 |
+
"filepath": filepath,
|
87 |
+
},
|
88 |
+
)
|
89 |
+
]
|
90 |
+
|
91 |
+
def _generate_examples(self, filepath):
|
92 |
+
"""Yields examples."""
|
93 |
+
data = []
|
94 |
+
with open(filepath, newline="", encoding="utf-8") as csvfile:
|
95 |
+
reader = csv.reader(csvfile, delimiter="\t")
|
96 |
+
next(reader, None) # skip the headers
|
97 |
+
for row in reader:
|
98 |
+
data.append(row)
|
99 |
+
|
100 |
+
seed = 42
|
101 |
+
random.seed(seed)
|
102 |
+
random.shuffle(data)
|
103 |
+
|
104 |
+
for id_, example in enumerate(data):
|
105 |
+
sentence = example[0]
|
106 |
+
is_variable = example[1]
|
107 |
+
variable = example[2] if example[2] != "" else []
|
108 |
+
if variable:
|
109 |
+
variable = variable.split(";") if ";" in variable else [variable]
|
110 |
+
research_data = example[3] if example[3] != "" else []
|
111 |
+
if research_data:
|
112 |
+
research_data = research_data.split(";") if ";" in research_data else [research_data]
|
113 |
+
doc_id = example[4]
|
114 |
+
uuid = example[5]
|
115 |
+
lang = example[6]
|
116 |
+
|
117 |
+
yield id_, {
|
118 |
+
"sentence": sentence,
|
119 |
+
"is_variable": is_variable,
|
120 |
+
"variable": variable,
|
121 |
+
"research_data": research_data,
|
122 |
+
"doc_id": doc_id,
|
123 |
+
"uuid": uuid,
|
124 |
+
"lang": lang,
|
125 |
+
}
|