Datasets:

License:
cakiki commited on
Commit
fcc4a52
1 Parent(s): 85fd5f3

Upload vbow_umap.ipynb

Browse files
Files changed (2) hide show
  1. .gitattributes +1 -0
  2. vbow_umap.ipynb +3 -213
.gitattributes CHANGED
@@ -65,3 +65,4 @@ data_01_027/profession_images_preds_clusters_all_BLIP.json filter=lfs diff=lfs m
65
  profession_images_preds_clusters_all_BLIP.json filter=lfs diff=lfs merge=lfs -text
66
  data_01_027/identity_images_preds_clusters_all_CLIP.json filter=lfs diff=lfs merge=lfs -text
67
  data_01_027/profession_images_preds_clusters_all_CLIP.json filter=lfs diff=lfs merge=lfs -text
 
 
65
  profession_images_preds_clusters_all_BLIP.json filter=lfs diff=lfs merge=lfs -text
66
  data_01_027/identity_images_preds_clusters_all_CLIP.json filter=lfs diff=lfs merge=lfs -text
67
  data_01_027/profession_images_preds_clusters_all_CLIP.json filter=lfs diff=lfs merge=lfs -text
68
+ vbow_umap.ipynb filter=lfs diff=lfs merge=lfs -text
vbow_umap.ipynb CHANGED
@@ -1,213 +1,3 @@
1
- {
2
- "cells": [
3
- {
4
- "cell_type": "code",
5
- "execution_count": 1,
6
- "id": "26854af0-2aae-4764-9e14-f16587f6ffca",
7
- "metadata": {},
8
- "outputs": [],
9
- "source": [
10
- "from datasets import load_dataset, concatenate_datasets\n",
11
- "from diffusion_bias_utils import *"
12
- ]
13
- },
14
- {
15
- "cell_type": "code",
16
- "execution_count": 2,
17
- "id": "171a7474-8cbf-43e3-a291-43b72aafa2c9",
18
- "metadata": {},
19
- "outputs": [
20
- {
21
- "name": "stderr",
22
- "output_type": "stream",
23
- "text": [
24
- "Using custom data configuration SDbiaseval--jobs-sd-1.4-d63e0b445a615372\n",
25
- "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--jobs-sd-1.4-d63e0b445a615372/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
26
- "Using custom data configuration SDbiaseval--jobs-dalle-2-867ccf66f8ddd10b\n",
27
- "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--jobs-dalle-2-867ccf66f8ddd10b/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
28
- "Using custom data configuration SDbiaseval--jobs-sd-2-c69d12bb9ccf4085\n",
29
- "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--jobs-sd-2-c69d12bb9ccf4085/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
30
- "Using custom data configuration SDbiaseval--identities-sd-1.4-235039a7036de834\n",
31
- "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--identities-sd-1.4-235039a7036de834/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
32
- "Using custom data configuration SDbiaseval--identities-dalle-2-c8f3cfde132be9d1\n",
33
- "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--identities-dalle-2-c8f3cfde132be9d1/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
34
- "Using custom data configuration SDbiaseval--identities-sd-2-86893313f44c7ca2\n",
35
- "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--identities-sd-2-86893313f44c7ca2/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n"
36
- ]
37
- }
38
- ],
39
- "source": [
40
- "jobs_1_4 = load_dataset(\"SDbiaseval/jobs-sd-1.4\", split=\"train\")\n",
41
- "jobs_dalle = load_dataset(\"SDbiaseval/jobs-dalle-2\", split=\"train\")\n",
42
- "jobs_2 = load_dataset(\"SDbiaseval/jobs-sd-2\", split=\"train\")\n",
43
- "\n",
44
- "identities_1_4 = load_dataset(\"SDbiaseval/identities-sd-1.4\", split=\"train\")\n",
45
- "identities_dalle = load_dataset(\"SDbiaseval/identities-dalle-2\", split=\"train\")\n",
46
- "identities_2 = load_dataset(\"SDbiaseval/identities-sd-2\", split=\"train\")\n",
47
- "\n",
48
- "jobs = concatenate_datasets([jobs_1_4, jobs_2, jobs_dalle])\n",
49
- "identities = concatenate_datasets([identities_1_4, identities_2, identities_dalle])"
50
- ]
51
- },
52
- {
53
- "cell_type": "code",
54
- "execution_count": 3,
55
- "id": "f70be9d9-494b-4499-8663-fc4f2d98ef47",
56
- "metadata": {},
57
- "outputs": [
58
- {
59
- "data": {
60
- "text/plain": [
61
- "Dataset({\n",
62
- " features: ['adjective', 'profession', 'no', 'image_path', 'image'],\n",
63
- " num_rows: 94500\n",
64
- "})"
65
- ]
66
- },
67
- "execution_count": 3,
68
- "metadata": {},
69
- "output_type": "execute_result"
70
- }
71
- ],
72
- "source": [
73
- "jobs"
74
- ]
75
- },
76
- {
77
- "cell_type": "code",
78
- "execution_count": 4,
79
- "id": "2cef9d9e-55d9-476d-81d4-114ef2651033",
80
- "metadata": {},
81
- "outputs": [
82
- {
83
- "data": {
84
- "text/plain": [
85
- "Dataset({\n",
86
- " features: ['ethnicity', 'gender', 'no', 'image_path', 'image'],\n",
87
- " num_rows: 2040\n",
88
- "})"
89
- ]
90
- },
91
- "execution_count": 4,
92
- "metadata": {},
93
- "output_type": "execute_result"
94
- }
95
- ],
96
- "source": [
97
- "identities"
98
- ]
99
- },
100
- {
101
- "cell_type": "code",
102
- "execution_count": 5,
103
- "id": "9fb6ce40-9d5d-4c73-a1b5-30e19dc0066b",
104
- "metadata": {},
105
- "outputs": [],
106
- "source": [
107
- "gender_shapes = {\n",
108
- " \"man_SD_14\": \"square-cross\",\n",
109
- " \"woman_SD_14\": \"diamond-cross\",\n",
110
- " \"non-binary_SD_14\": \"circle-cross\",\n",
111
- " \"person_SD_14\": \"cross\",\n",
112
- " \"man_SD_2\": \"square-x\",\n",
113
- " \"woman_SD_2\": \"diamond-x\",\n",
114
- " \"non-binary_SD_2\": \"circle-x\",\n",
115
- " \"person_SD_2\": \"x\",\n",
116
- " \"man_DallE\": \"square\",\n",
117
- " \"woman_DallE\": \"diamond\",\n",
118
- " \"non-binary_DallE\": \"circle\",\n",
119
- " \"person_DallE\": \"star\",\n",
120
- "}"
121
- ]
122
- },
123
- {
124
- "cell_type": "code",
125
- "execution_count": 6,
126
- "id": "c50ad850-68d3-4985-ad4b-f1e530f68597",
127
- "metadata": {},
128
- "outputs": [],
129
- "source": [
130
- "folders = [\"jobs\", \"identities\"]\n",
131
- "tfidf_dimensions = [768, 1536, 10752]\n",
132
- "svd_dimensions = [32, 100, 128, 768]"
133
- ]
134
- },
135
- {
136
- "cell_type": "code",
137
- "execution_count": 7,
138
- "id": "e2a506cc-558e-46a3-b156-f16d9c157e3f",
139
- "metadata": {},
140
- "outputs": [
141
- {
142
- "name": "stdout",
143
- "output_type": "stream",
144
- "text": [
145
- "(94500, 32)\n",
146
- "(94500, 100)\n",
147
- "(94500, 128)\n",
148
- "(94500, 768)\n",
149
- "(94500, 32)\n",
150
- "(94500, 100)\n",
151
- "(94500, 128)\n",
152
- "(94500, 768)\n",
153
- "(94500, 32)\n",
154
- "(94500, 100)\n",
155
- "(94500, 128)\n",
156
- "(94500, 768)\n",
157
- "(2040, 32)\n",
158
- "(2040, 100)\n",
159
- "(2040, 128)\n",
160
- "(2040, 768)\n",
161
- "(2040, 32)\n",
162
- "(2040, 100)\n",
163
- "(2040, 128)\n",
164
- "(2040, 768)\n",
165
- "(2040, 32)\n",
166
- "(2040, 100)\n",
167
- "(2040, 128)\n",
168
- "(2040, 768)\n"
169
- ]
170
- }
171
- ],
172
- "source": [
173
- "figs = []\n",
174
- "for folder in folders:\n",
175
- " for tfidf_dimension in tfidf_dimensions:\n",
176
- " for svd_dimension in svd_dimensions:\n",
177
- " fname = f\"vbow/nsvd/{folder}/{tfidf_dimension}/{svd_dimension}/embeddings.npy\"\n",
178
- " embeddings = np.load(fname)\n",
179
- " print(embeddings.shape)\n",
180
- " # figs.append(make_2d_plot(embeddings, ))"
181
- ]
182
- },
183
- {
184
- "cell_type": "code",
185
- "execution_count": null,
186
- "id": "c924d722-003d-4e90-84c5-148f5c3698ed",
187
- "metadata": {},
188
- "outputs": [],
189
- "source": []
190
- }
191
- ],
192
- "metadata": {
193
- "kernelspec": {
194
- "display_name": "Python 3 (ipykernel)",
195
- "language": "python",
196
- "name": "python3"
197
- },
198
- "language_info": {
199
- "codemirror_mode": {
200
- "name": "ipython",
201
- "version": 3
202
- },
203
- "file_extension": ".py",
204
- "mimetype": "text/x-python",
205
- "name": "python",
206
- "nbconvert_exporter": "python",
207
- "pygments_lexer": "ipython3",
208
- "version": "3.9.5"
209
- }
210
- },
211
- "nbformat": 4,
212
- "nbformat_minor": 5
213
- }
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56c86b7400996f041c0ac02efd12008989337bc3476634d68c2c19dd329cb17a
3
+ size 13631418