Datasets:
Commit
•
b0ba429
1
Parent(s):
68b61d5
Update parquet files
Browse files- CSKG.py +0 -195
- README.md +0 -104
- cskg/cskg-train-00000-of-00003.parquet +3 -0
- cskg/cskg-train-00001-of-00003.parquet +3 -0
- cskg/cskg-train-00002-of-00003.parquet +3 -0
CSKG.py
DELETED
@@ -1,195 +0,0 @@
|
|
1 |
-
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
|
2 |
-
#
|
3 |
-
# Licensed under the Apache License, Version 2.0 (the "License");
|
4 |
-
# you may not use this file except in compliance with the License.
|
5 |
-
# You may obtain a copy of the License at
|
6 |
-
#
|
7 |
-
# http://www.apache.org/licenses/LICENSE-2.0
|
8 |
-
#
|
9 |
-
# Unless required by applicable law or agreed to in writing, software
|
10 |
-
# distributed under the License is distributed on an "AS IS" BASIS,
|
11 |
-
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
12 |
-
# See the License for the specific language governing permissions and
|
13 |
-
# limitations under the License.
|
14 |
-
# TODO: Address all TODOs and remove all explanatory comments
|
15 |
-
"""TODO: Add a description here."""
|
16 |
-
|
17 |
-
|
18 |
-
import csv
|
19 |
-
import json
|
20 |
-
import os
|
21 |
-
|
22 |
-
import datasets
|
23 |
-
|
24 |
-
|
25 |
-
# TODO: Add BibTeX citation
|
26 |
-
# Find for instance the citation on arxiv or on the dataset repo/website
|
27 |
-
_CITATION = """\
|
28 |
-
@article{ilievski2021cskg,
|
29 |
-
title={CSKG: The CommonSense Knowledge Graph},
|
30 |
-
author={Ilievski, Filip and Szekely, Pedro and Zhang, Bin},
|
31 |
-
journal={Extended Semantic Web Conference (ESWC)},
|
32 |
-
year={2021}
|
33 |
-
}
|
34 |
-
"""
|
35 |
-
|
36 |
-
# TODO: Add description of the dataset here
|
37 |
-
# You can copy an official description
|
38 |
-
_DESCRIPTION = """\
|
39 |
-
CSKG is a commonsense knowledge graph that combines seven popular sources into a consolidated representation: ATOMIC, ConceptNet, FrameNet, Roget, Visual Genome, Wikidata (We use the Wikidata-CS subset), and WordNet. CSKG is represented as a hyper-relational graph, by using the KGTK data model and file specification. Its creation is entirely supported by KGTK operations.
|
40 |
-
"""
|
41 |
-
|
42 |
-
# TODO: Add a link to an official homepage for the dataset here
|
43 |
-
_HOMEPAGE = "https://cskg.readthedocs.io/en/latest/"
|
44 |
-
|
45 |
-
# TODO: Add the licence for the dataset here if you can find it
|
46 |
-
_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International License"
|
47 |
-
|
48 |
-
# TODO: Add link to the official dataset URLs here
|
49 |
-
# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
|
50 |
-
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
|
51 |
-
# _URLS = {
|
52 |
-
# "first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
|
53 |
-
# "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
|
54 |
-
# }
|
55 |
-
_URLS = {
|
56 |
-
"cskg": "https://zenodo.org/record/4331372/files/cskg.tsv.gz",
|
57 |
-
}
|
58 |
-
|
59 |
-
# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
|
60 |
-
class CSKG(datasets.GeneratorBasedBuilder):
|
61 |
-
"""a commonsense knowledge graph"""
|
62 |
-
|
63 |
-
VERSION = datasets.Version("1.1.0")
|
64 |
-
|
65 |
-
# This is an example of a dataset with multiple configurations.
|
66 |
-
# If you don't want/need to define several sub-sets in your dataset,
|
67 |
-
# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
|
68 |
-
|
69 |
-
# If you need to make complex sub-parts in the datasets with configurable options
|
70 |
-
# You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
|
71 |
-
# BUILDER_CONFIG_CLASS = MyBuilderConfig
|
72 |
-
|
73 |
-
# You will be able to load one or the other configurations in the following list with
|
74 |
-
# data = datasets.load_dataset('my_dataset', 'first_domain')
|
75 |
-
# data = datasets.load_dataset('my_dataset', 'second_domain')
|
76 |
-
BUILDER_CONFIGS = [
|
77 |
-
datasets.BuilderConfig(name="cskg", version=VERSION, description="The relationships defined by cskg"),
|
78 |
-
# datasets.BuilderConfig(name="second_domain", version=VERSION, description="This part of my dataset covers a second domain"),
|
79 |
-
]
|
80 |
-
|
81 |
-
DEFAULT_CONFIG_NAME = "cskg" # It's not mandatory to have a default configuration. Just use one if it make sense.
|
82 |
-
|
83 |
-
def _info(self):
|
84 |
-
# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
|
85 |
-
if self.config.name == "cskg": # This is the name of the configuration selected in BUILDER_CONFIGS above
|
86 |
-
features = datasets.Features(
|
87 |
-
{
|
88 |
-
|
89 |
-
"id": datasets.Value("string"),
|
90 |
-
"node1": datasets.Value("string"),
|
91 |
-
"relation": datasets.Value("string"),
|
92 |
-
"node2": datasets.Value("string"),
|
93 |
-
"node1;label": datasets.Value("string"),
|
94 |
-
"node2;label": datasets.Value("string"),
|
95 |
-
"relation;label": datasets.Value("string"),
|
96 |
-
"relation;dimension": datasets.Value("string"),
|
97 |
-
"source": datasets.Value("string"),
|
98 |
-
"sentence": datasets.Value("string"),
|
99 |
-
|
100 |
-
# These are the features of your dataset like images, labels ...
|
101 |
-
}
|
102 |
-
)
|
103 |
-
# else: # This is an example to show how to have different features for "first_domain" and "second_domain"
|
104 |
-
# features = datasets.Features(
|
105 |
-
# {
|
106 |
-
# "sentence": datasets.Value("string"),
|
107 |
-
# "option2": datasets.Value("string"),
|
108 |
-
# "second_domain_answer": datasets.Value("string")
|
109 |
-
# # These are the features of your dataset like images, labels ...
|
110 |
-
# }
|
111 |
-
# )
|
112 |
-
return datasets.DatasetInfo(
|
113 |
-
# This is the description that will appear on the datasets page.
|
114 |
-
description=_DESCRIPTION,
|
115 |
-
# This defines the different columns of the dataset and their types
|
116 |
-
features=features, # Here we define them above because they are different between the two configurations
|
117 |
-
# If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
|
118 |
-
# specify them. They'll be used if as_supervised=True in builder.as_dataset.
|
119 |
-
# supervised_keys=("sentence", "label"),
|
120 |
-
# Homepage of the dataset for documentation
|
121 |
-
homepage=_HOMEPAGE,
|
122 |
-
# License for the dataset if available
|
123 |
-
license=_LICENSE,
|
124 |
-
# Citation for the dataset
|
125 |
-
citation=_CITATION,
|
126 |
-
)
|
127 |
-
|
128 |
-
def _split_generators(self, dl_manager):
|
129 |
-
# TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
|
130 |
-
# If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
|
131 |
-
|
132 |
-
# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
|
133 |
-
# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
|
134 |
-
# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
|
135 |
-
urls = _URLS[self.config.name]
|
136 |
-
data_dir = dl_manager.download_and_extract(urls)
|
137 |
-
return [
|
138 |
-
datasets.SplitGenerator(
|
139 |
-
name=datasets.Split.TRAIN,
|
140 |
-
# These kwargs will be passed to _generate_examples
|
141 |
-
gen_kwargs={
|
142 |
-
"filepath": data_dir,
|
143 |
-
"split": "train",
|
144 |
-
},
|
145 |
-
),
|
146 |
-
# datasets.SplitGenerator(
|
147 |
-
# name=datasets.Split.VALIDATION,
|
148 |
-
# # These kwargs will be passed to _generate_examples
|
149 |
-
# gen_kwargs={
|
150 |
-
# "filepath": os.path.join(data_dir, "dev.jsonl"),
|
151 |
-
# "split": "dev",
|
152 |
-
# },
|
153 |
-
# ),
|
154 |
-
# datasets.SplitGenerator(
|
155 |
-
# name=datasets.Split.TEST,
|
156 |
-
# # These kwargs will be passed to _generate_examples
|
157 |
-
# gen_kwargs={
|
158 |
-
# "filepath": os.path.join(data_dir, "test.jsonl"),
|
159 |
-
# "split": "test"
|
160 |
-
# },
|
161 |
-
# ),
|
162 |
-
]
|
163 |
-
|
164 |
-
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
|
165 |
-
def _generate_examples(self, filepath, split):
|
166 |
-
# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
|
167 |
-
# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
|
168 |
-
with open(filepath, 'rb') as f:
|
169 |
-
for id_, row in enumerate(f):
|
170 |
-
if self.config.name == "cskg":
|
171 |
-
row = row.split(b"\t")
|
172 |
-
|
173 |
-
# Yields examples as (key, example) tuples
|
174 |
-
yield id_, {
|
175 |
-
# "sentence": data["sentence"],
|
176 |
-
# "option1": data["option1"],
|
177 |
-
# "answer": "" if split == "test" else data["answer"],
|
178 |
-
"id": row[0].decode("utf-8"),
|
179 |
-
"node1": row[1].decode("utf-8"),
|
180 |
-
"relation": row[2].decode("utf-8"),
|
181 |
-
"node2": row[3].decode("utf-8"),
|
182 |
-
"node1;label": row[4].decode("utf-8"),
|
183 |
-
"node2;label": row[5].decode("utf-8"),
|
184 |
-
"relation;label": row[6].decode("utf-8"),
|
185 |
-
"relation;dimension": row[7].decode("utf-8"),
|
186 |
-
"source": row[8].decode("utf-8"),
|
187 |
-
"sentence": row[9].decode("utf-8"),
|
188 |
-
|
189 |
-
}
|
190 |
-
# else:
|
191 |
-
# yield key, {
|
192 |
-
# "sentence": data["sentence"],
|
193 |
-
# "option2": data["option2"],
|
194 |
-
# "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
|
195 |
-
# }
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
README.md
DELETED
@@ -1,104 +0,0 @@
|
|
1 |
-
---
|
2 |
-
license: openrail
|
3 |
-
task_categories:
|
4 |
-
- question-answering
|
5 |
-
language:
|
6 |
-
- en
|
7 |
-
---
|
8 |
-
# Dataset Card for Dataset Name
|
9 |
-
|
10 |
-
## Dataset Description
|
11 |
-
|
12 |
-
- **Homepage:**
|
13 |
-
- **Repository:**
|
14 |
-
- **Paper:**
|
15 |
-
- **Leaderboard:**
|
16 |
-
- **Point of Contact:**
|
17 |
-
|
18 |
-
### Dataset Summary
|
19 |
-
|
20 |
-
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
|
21 |
-
|
22 |
-
### Supported Tasks and Leaderboards
|
23 |
-
|
24 |
-
[More Information Needed]
|
25 |
-
|
26 |
-
### Languages
|
27 |
-
|
28 |
-
[More Information Needed]
|
29 |
-
|
30 |
-
## Dataset Structure
|
31 |
-
|
32 |
-
### Data Instances
|
33 |
-
|
34 |
-
[More Information Needed]
|
35 |
-
|
36 |
-
### Data Fields
|
37 |
-
|
38 |
-
[More Information Needed]
|
39 |
-
|
40 |
-
### Data Splits
|
41 |
-
|
42 |
-
[More Information Needed]
|
43 |
-
|
44 |
-
## Dataset Creation
|
45 |
-
|
46 |
-
### Curation Rationale
|
47 |
-
|
48 |
-
[More Information Needed]
|
49 |
-
|
50 |
-
### Source Data
|
51 |
-
|
52 |
-
#### Initial Data Collection and Normalization
|
53 |
-
|
54 |
-
[More Information Needed]
|
55 |
-
|
56 |
-
#### Who are the source language producers?
|
57 |
-
|
58 |
-
[More Information Needed]
|
59 |
-
|
60 |
-
### Annotations
|
61 |
-
|
62 |
-
#### Annotation process
|
63 |
-
|
64 |
-
[More Information Needed]
|
65 |
-
|
66 |
-
#### Who are the annotators?
|
67 |
-
|
68 |
-
[More Information Needed]
|
69 |
-
|
70 |
-
### Personal and Sensitive Information
|
71 |
-
|
72 |
-
[More Information Needed]
|
73 |
-
|
74 |
-
## Considerations for Using the Data
|
75 |
-
|
76 |
-
### Social Impact of Dataset
|
77 |
-
|
78 |
-
[More Information Needed]
|
79 |
-
|
80 |
-
### Discussion of Biases
|
81 |
-
|
82 |
-
[More Information Needed]
|
83 |
-
|
84 |
-
### Other Known Limitations
|
85 |
-
|
86 |
-
[More Information Needed]
|
87 |
-
|
88 |
-
## Additional Information
|
89 |
-
|
90 |
-
### Dataset Curators
|
91 |
-
|
92 |
-
[More Information Needed]
|
93 |
-
|
94 |
-
### Licensing Information
|
95 |
-
|
96 |
-
[More Information Needed]
|
97 |
-
|
98 |
-
### Citation Information
|
99 |
-
|
100 |
-
[More Information Needed]
|
101 |
-
|
102 |
-
### Contributions
|
103 |
-
|
104 |
-
[More Information Needed]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
cskg/cskg-train-00000-of-00003.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9230de5335cd646da07e79ac2c8b500fb9f093800bcb8025def074b4b3e982cc
|
3 |
+
size 126569022
|
cskg/cskg-train-00001-of-00003.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:59f3c90797669170a0f048e484fc28d8dff896afe86c7781ca8922fa3b6dffc8
|
3 |
+
size 119240902
|
cskg/cskg-train-00002-of-00003.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:272e07421cd3d866303e5df548eb11d9821d727f875168c8b71ba6140fe9daae
|
3 |
+
size 16771480
|