updata
Browse files- data.zip +3 -0
- eyesdiffusion.py +122 -0
- metadata.jsonl +50 -50
data.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:77bb1caeb20268da846e6501f1cda2defeee5d01266050d191546faba1dde0fd
|
3 |
+
size 642689
|
eyesdiffusion.py
ADDED
@@ -0,0 +1,122 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Copyright 2023 sans
|
2 |
+
"""Loading script for eyes."""
|
3 |
+
|
4 |
+
import re
|
5 |
+
import numpy as np
|
6 |
+
import pandas as pd
|
7 |
+
|
8 |
+
from json import load, dump
|
9 |
+
from os.path import join, basename
|
10 |
+
from huggingface_hub import hf_hub_url
|
11 |
+
|
12 |
+
import datasets
|
13 |
+
|
14 |
+
# You can copy an official description
|
15 |
+
_DESCRIPTION = """
|
16 |
+
Teyvat is the first small-scale text-to-image prompt dataset for eye.
|
17 |
+
"""
|
18 |
+
|
19 |
+
_LICENSE = "CC0 1.0"
|
20 |
+
_VERSION = datasets.Version("0.0.1")
|
21 |
+
|
22 |
+
# The HuggingFace dataset library don't host the datasets but only point to the
|
23 |
+
|
24 |
+
_URLS = {"data" :hf_hub_url(
|
25 |
+
repo_id = "sanshanya/eyesdiffusion",
|
26 |
+
filename = "data.zip",
|
27 |
+
repo_type = "dataset",
|
28 |
+
),
|
29 |
+
"metadata" :hf_hub_url(
|
30 |
+
repo_id = "sanshanya/eyesdiffusion",
|
31 |
+
filename = "metadata.jsonl",
|
32 |
+
repo_type = "dataset",
|
33 |
+
)
|
34 |
+
}
|
35 |
+
|
36 |
+
|
37 |
+
class Teyvat(datasets.GeneratorBasedBuilder):
|
38 |
+
"""111111"""
|
39 |
+
|
40 |
+
|
41 |
+
def _info(self):
|
42 |
+
"""Specify the information of ."""
|
43 |
+
|
44 |
+
|
45 |
+
features = datasets.Features(
|
46 |
+
{
|
47 |
+
"image": datasets.Image(),
|
48 |
+
"text": datasets.Value("string"),
|
49 |
+
},
|
50 |
+
)
|
51 |
+
|
52 |
+
return datasets.DatasetInfo(
|
53 |
+
description=_DESCRIPTION,
|
54 |
+
features=features,
|
55 |
+
supervised_keys=None,
|
56 |
+
license=_LICENSE,
|
57 |
+
version=_VERSION
|
58 |
+
)
|
59 |
+
|
60 |
+
def _split_generators(self, dl_manager):
|
61 |
+
# If several configurations are possible (listed in BUILDER_CONFIGS),
|
62 |
+
# the configuration selected by the user is in self.config.name
|
63 |
+
|
64 |
+
# dl_manager is a datasets.download.DownloadManager that can be used to
|
65 |
+
# download and extract URLS It can accept any type or nested list/dict
|
66 |
+
# and will give back the same structure with the url replaced with path
|
67 |
+
# to local files. By default the archives will be extracted and a path
|
68 |
+
# to a cached folder where they are extracted is returned instead of the
|
69 |
+
# archive
|
70 |
+
|
71 |
+
|
72 |
+
# Resolve the urls
|
73 |
+
|
74 |
+
urls = _URLS
|
75 |
+
|
76 |
+
# Also download the data
|
77 |
+
data_path = dl_manager.download_and_extract(urls["data"])
|
78 |
+
meta_data_path = dl_manager.download(urls["metadata"])
|
79 |
+
|
80 |
+
# data = load(open(meta_data_path, "r", encoding="utf8"))
|
81 |
+
# for image in data:
|
82 |
+
# image_path = "data/" + image["file_name"]
|
83 |
+
# image_path = hf_hub_url(
|
84 |
+
# "datasets/Fazzie/Teyvat",
|
85 |
+
# filename=image_path,
|
86 |
+
# ),
|
87 |
+
# dl_manager.download(image_path)
|
88 |
+
|
89 |
+
return [
|
90 |
+
datasets.SplitGenerator(
|
91 |
+
name=datasets.Split.TRAIN,
|
92 |
+
# These kwargs will be passed to _generate_examples
|
93 |
+
gen_kwargs={
|
94 |
+
"data_path": data_path,
|
95 |
+
"meta_data_path": meta_data_path
|
96 |
+
},
|
97 |
+
),
|
98 |
+
]
|
99 |
+
|
100 |
+
def _generate_examples(self, data_path, meta_data_path):
|
101 |
+
# This method handles input defined in _split_generators to yield
|
102 |
+
# (key, example) tuples from the dataset.
|
103 |
+
# The `key` is for legacy reasons (tfds) and is not important in itself,
|
104 |
+
# but must be unique for each example.
|
105 |
+
|
106 |
+
# Load the metadata parquet file if the config is text_only
|
107 |
+
print("Loading metadata...", meta_data_path)
|
108 |
+
data = load(open(meta_data_path, "r", encoding="utf8"))
|
109 |
+
|
110 |
+
for image in data:
|
111 |
+
image_path = join(data_path, "data", image["file_name"])
|
112 |
+
text = image["text"]
|
113 |
+
|
114 |
+
|
115 |
+
|
116 |
+
yield image_path, {
|
117 |
+
"image": {
|
118 |
+
"path": image_path,
|
119 |
+
"bytes": open(image_path, "rb").read(),
|
120 |
+
},
|
121 |
+
"text": text,
|
122 |
+
}
|
metadata.jsonl
CHANGED
@@ -1,50 +1,50 @@
|
|
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 |
-
{"
|
|
|
1 |
+
{"file_name": "10005-L.jpg", "text": "左眼,眼底像模糊,眼底可见处未见明显异常"}
|
2 |
+
{"file_name": "10005-R.jpg", "text": "右眼,眼底像模糊,眼底可见处未见明显异常"}
|
3 |
+
{"file_name": "10006-L.jpg", "text": "左眼,眼底像模糊,眼底可见处未见明显异常"}
|
4 |
+
{"file_name": "10007-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
5 |
+
{"file_name": "10007-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
6 |
+
{"file_name": "10012-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
7 |
+
{"file_name": "10013-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
8 |
+
{"file_name": "10013-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
9 |
+
{"file_name": "10014-L.jpg", "text": "左眼,杯盘比大"}
|
10 |
+
{"file_name": "10014-R.jpg", "text": "右眼,杯盘比大"}
|
11 |
+
{"file_name": "10015-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
12 |
+
{"file_name": "10015-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
13 |
+
{"file_name": "10016-L.jpg", "text": "左眼,眼���可见处未见明显异常"}
|
14 |
+
{"file_name": "10016-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
15 |
+
{"file_name": "10017-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
16 |
+
{"file_name": "10017-R.jpg", "text": "右眼,颞下限局神经纤维层缺损"}
|
17 |
+
{"file_name": "10018-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
18 |
+
{"file_name": "10018-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
19 |
+
{"file_name": "10020-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
20 |
+
{"file_name": "10021-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
21 |
+
{"file_name": "10021-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
22 |
+
{"file_name": "10022-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
23 |
+
{"file_name": "10022-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
24 |
+
{"file_name": "10023-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
25 |
+
{"file_name": "10023-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
26 |
+
{"file_name": "10024-R.jpg", "text": "右眼,眼底像模糊,眼底可见处未见明显异常"}
|
27 |
+
{"file_name": "10025-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
28 |
+
{"file_name": "10025-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
29 |
+
{"file_name": "10026-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
30 |
+
{"file_name": "10026-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
31 |
+
{"file_name": "10027-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
32 |
+
{"file_name": "10027-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
33 |
+
{"file_name": "10030-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
34 |
+
{"file_name": "10030-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
35 |
+
{"file_name": "10032-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
36 |
+
{"file_name": "10032-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
37 |
+
{"file_name": "10033-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
38 |
+
{"file_name": "10033-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
39 |
+
{"file_name": "10034-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
40 |
+
{"file_name": "10034-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
41 |
+
{"file_name": "10035-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
42 |
+
{"file_name": "10035-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
43 |
+
{"file_name": "10036-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
44 |
+
{"file_name": "10037-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
45 |
+
{"file_name": "10037-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
46 |
+
{"file_name": "10038-L.jpg", "text": "左眼,豹纹状眼底,可见萎缩弧"}
|
47 |
+
{"file_name": "10038-R.jpg", "text": "右眼,豹纹状眼底,可见萎缩弧"}
|
48 |
+
{"file_name": "10040-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|
49 |
+
{"file_name": "10040-R.jpg", "text": "右眼,眼底可见处未见明显异常"}
|
50 |
+
{"file_name": "10041-L.jpg", "text": "左眼,眼底可见处未见明显异常"}
|