Upload vbow_umap.ipynb

vbow_umap.ipynb

@@ -0,0 +1,213 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "26854af0-2aae-4764-9e14-f16587f6ffca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datasets import load_dataset, concatenate_datasets\n",
+    "from diffusion_bias_utils import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "171a7474-8cbf-43e3-a291-43b72aafa2c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using custom data configuration SDbiaseval--jobs-sd-1.4-d63e0b445a615372\n",
+      "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",
+      "Using custom data configuration SDbiaseval--jobs-dalle-2-867ccf66f8ddd10b\n",
+      "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--jobs-dalle-2-867ccf66f8ddd10b/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
+      "Using custom data configuration SDbiaseval--jobs-sd-2-c69d12bb9ccf4085\n",
+      "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--jobs-sd-2-c69d12bb9ccf4085/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
+      "Using custom data configuration SDbiaseval--identities-sd-1.4-235039a7036de834\n",
+      "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",
+      "Using custom data configuration SDbiaseval--identities-dalle-2-c8f3cfde132be9d1\n",
+      "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--identities-dalle-2-c8f3cfde132be9d1/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
+      "Using custom data configuration SDbiaseval--identities-sd-2-86893313f44c7ca2\n",
+      "Found cached dataset parquet (/mnt/1da05489-3812-4f15-a6e5-c8d3c57df39e/cache/huggingface/SDbiaseval___parquet/SDbiaseval--identities-sd-2-86893313f44c7ca2/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n"
+     ]
+    }
+   ],
+   "source": [
+    "jobs_1_4 = load_dataset(\"SDbiaseval/jobs-sd-1.4\", split=\"train\")\n",
+    "jobs_dalle = load_dataset(\"SDbiaseval/jobs-dalle-2\", split=\"train\")\n",
+    "jobs_2 = load_dataset(\"SDbiaseval/jobs-sd-2\", split=\"train\")\n",
+    "\n",
+    "identities_1_4 = load_dataset(\"SDbiaseval/identities-sd-1.4\", split=\"train\")\n",
+    "identities_dalle = load_dataset(\"SDbiaseval/identities-dalle-2\", split=\"train\")\n",
+    "identities_2 = load_dataset(\"SDbiaseval/identities-sd-2\", split=\"train\")\n",
+    "\n",
+    "jobs = concatenate_datasets([jobs_1_4, jobs_2, jobs_dalle])\n",
+    "identities = concatenate_datasets([identities_1_4, identities_2, identities_dalle])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "f70be9d9-494b-4499-8663-fc4f2d98ef47",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset({\n",
+       "    features: ['adjective', 'profession', 'no', 'image_path', 'image'],\n",
+       "    num_rows: 94500\n",
+       "})"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jobs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "2cef9d9e-55d9-476d-81d4-114ef2651033",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset({\n",
+       "    features: ['ethnicity', 'gender', 'no', 'image_path', 'image'],\n",
+       "    num_rows: 2040\n",
+       "})"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "identities"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "9fb6ce40-9d5d-4c73-a1b5-30e19dc0066b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gender_shapes = {\n",
+    "    \"man_SD_14\": \"square-cross\",\n",
+    "    \"woman_SD_14\": \"diamond-cross\",\n",
+    "    \"non-binary_SD_14\": \"circle-cross\",\n",
+    "    \"person_SD_14\": \"cross\",\n",
+    "    \"man_SD_2\": \"square-x\",\n",
+    "    \"woman_SD_2\": \"diamond-x\",\n",
+    "    \"non-binary_SD_2\": \"circle-x\",\n",
+    "    \"person_SD_2\": \"x\",\n",
+    "    \"man_DallE\": \"square\",\n",
+    "    \"woman_DallE\": \"diamond\",\n",
+    "    \"non-binary_DallE\": \"circle\",\n",
+    "    \"person_DallE\": \"star\",\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c50ad850-68d3-4985-ad4b-f1e530f68597",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "folders = [\"jobs\", \"identities\"]\n",
+    "tfidf_dimensions = [768, 1536, 10752]\n",
+    "svd_dimensions = [32, 100, 128, 768]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "e2a506cc-558e-46a3-b156-f16d9c157e3f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(94500, 32)\n",
+      "(94500, 100)\n",
+      "(94500, 128)\n",
+      "(94500, 768)\n",
+      "(94500, 32)\n",
+      "(94500, 100)\n",
+      "(94500, 128)\n",
+      "(94500, 768)\n",
+      "(94500, 32)\n",
+      "(94500, 100)\n",
+      "(94500, 128)\n",
+      "(94500, 768)\n",
+      "(2040, 32)\n",
+      "(2040, 100)\n",
+      "(2040, 128)\n",
+      "(2040, 768)\n",
+      "(2040, 32)\n",
+      "(2040, 100)\n",
+      "(2040, 128)\n",
+      "(2040, 768)\n",
+      "(2040, 32)\n",
+      "(2040, 100)\n",
+      "(2040, 128)\n",
+      "(2040, 768)\n"
+     ]
+    }
+   ],
+   "source": [
+    "figs = []\n",
+    "for folder in folders:\n",
+    "    for tfidf_dimension in tfidf_dimensions:\n",
+    "        for svd_dimension in svd_dimensions:\n",
+    "            fname = f\"vbow/nsvd/{folder}/{tfidf_dimension}/{svd_dimension}/embeddings.npy\"\n",
+    "            embeddings = np.load(fname)\n",
+    "            print(embeddings.shape)\n",
+    "            # figs.append(make_2d_plot(embeddings, ))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c924d722-003d-4e90-84c5-148f5c3698ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}