File size: 2,238 Bytes
e658057 67727ac e658057 c9ba2a9 ddf59c9 e658057 67727ac e658057 67727ac 0a34175 d06df0b 0a34175 67727ac |
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 |
# Copyright 2020 The HuggingFace Datasets Authors.
# Copyright 2023 Cyril Zhang.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import csv
import json
import os
import datasets
_CITATION = """\
"""
_DESCRIPTION = """\
Online dataset mockup.
"""
_HOMEPAGE = ""
_LICENSE = ""
_URLS = {}
class MockupDataset(datasets.GeneratorBasedBuilder):
"""TODO: Short description of my dataset."""
VERSION = datasets.Version("0.0.0")
BUILDER_CONFIGS = []
def __init__(self, name=None, data_config={}, **kwargs):
super().__init__(**kwargs)
if 'length' not in data_config:
data_config['length'] = 20
if 'size' not in data_config:
data_config['size'] = 100
self.data_config = data_config
def _info(self):
features = datasets.Features(
{
"x": datasets.Value("null"),
"y": datasets.Value("null")
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"split": "train",
},
)
]
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
def _generate_examples(self, split):
for i in range(self.data_config['size']):
yield i, {
"x": [0]*self.data_config['length'],
"y": [1]*self.data_config['length']
} |