Upload vbow_umap.ipynb
Browse files- .gitattributes +1 -0
- 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 |
-
|
| 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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|