From 29cb2a9737178e0406f594513cfd54fcd0281234 Mon Sep 17 00:00:00 2001
From: Tom Bland <tom_bland@hotmail.co.uk>
Date: Thu, 2 May 2024 11:50:25 +0100
Subject: [PATCH 1/4] Add course embeddings

---
 courses_embeddings.csv | 8258 ++++++++++++++++++++++++++++++++++++++++
 embeddings.ipynb       |  123 +
 2 files changed, 8381 insertions(+)
 create mode 100644 courses_embeddings.csv
 create mode 100644 embeddings.ipynb

diff --git a/courses_embeddings.csv b/courses_embeddings.csv
new file mode 100644
index 0000000..ff6ffd7
--- /dev/null
+++ b/courses_embeddings.csv
@@ -0,0 +1,8258 @@
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+2.178635463586025001e+00,-6.130337600884621096e-01,-1.072712544569064841e+00,6.927266293120838414e-01,4.414838278936811911e+00,-2.081099123243275173e-01,1.398423443763214591e+00,7.219992522341102392e-02
+3.542984291409394082e+00,9.003221970063916002e-01,-1.350592771386121660e+00,-8.631002405420218349e-01,1.256831317657598035e+00,-8.133765820609651920e-01,1.706896679766959357e-01,-1.568136074085178411e+00
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+-9.374045725320349076e-01,-3.782400672712281642e-01,-1.296841368249400661e+00,5.745179922898074887e-01,-2.035500288886310294e+00,2.867186301818761551e-01,-4.130462670689377669e-01,2.242521199240807284e-01
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+-1.370230284662376397e+00,1.439095507184015854e-01,-4.825267752108053920e-01,3.034822394762737741e+00,2.300079121155456541e+00,-1.372697026625709693e+00,-1.104864953642513914e+00,2.022755718692512694e-01
+-8.276434534686220035e-01,-1.909352820009049490e+00,2.809577809046149621e+00,4.248866729824892774e-01,3.474568729411433021e-01,1.328743499781956494e+00,-1.353661468309704241e-01,2.002415070615730652e-01
+3.267452610065387120e+00,7.294956955412095212e-01,-1.403316125485420285e+00,1.728931167875042696e-01,2.436926192667792535e+00,-8.265813687923709852e-01,3.043388598905954479e-01,-4.493317557127678441e-01
+-9.402336891470512992e-01,-2.005796612673520052e+00,2.723700943127284280e+00,-1.256460458389011325e+00,-1.331721445770527312e-01,-6.744534534989484742e-01,-1.558409393235816287e+00,-1.642132651151739342e+00
+-2.010622848828364617e+00,-1.666244315469327164e+00,2.679230724953570064e+00,1.813282819733375850e-01,-6.678558387097531801e-01,-1.581429470130734927e-01,-1.680208447735399346e+00,-1.231117065024871948e+00
+-1.476039791572149262e+00,-8.421707979586797732e-01,2.050045460180467849e+00,-5.126932557313023109e-01,-1.492703437785944665e-01,6.016472628745338502e-01,-1.653727175550398831e+00,-8.255198775650933740e-01
+4.095158846674342712e+00,-5.840906110494455961e-01,-2.302891680413258479e-01,1.998833429666740269e+00,-1.295076023061414894e+00,-1.873729527430666175e-02,-1.691278158632363027e-01,8.327886971805323335e-02
+-2.455795904146311770e+00,-1.118494360316432790e+00,1.784366182975554382e+00,-1.183991700253236024e-01,1.496195870989115995e-01,4.941496819096850013e-01,-1.092775243790575779e+00,4.119805236966508910e-01
+4.990799294570293476e+00,-1.530905687545725258e-01,3.826068037455109261e-01,1.795844252992010448e+00,-1.583434465813562397e+00,1.456071298617336973e+00,2.581563402643392013e-01,1.122748826371588460e-01
+-2.077637049476865894e+00,-3.690002786533507217e-01,-8.244136760280080800e-01,2.082095454258393041e-01,-5.356645552889085504e-01,-2.462553479055122452e+00,-3.661536889244086934e-01,-9.151000937492330678e-01
diff --git a/embeddings.ipynb b/embeddings.ipynb
new file mode 100644
index 0000000..9eeb20c
--- /dev/null
+++ b/embeddings.ipynb
@@ -0,0 +1,123 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "8258\n"
+     ]
+    }
+   ],
+   "source": [
+    "import csv\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('courses.csv', newline='') as f:\n",
+    "    reader = csv.reader(f)\n",
+    "    courses = list(reader)\n",
+    "print(len(courses))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sentence_transformers import SentenceTransformer\n",
+    "model = SentenceTransformer('paraphrase-MiniLM-L6-v2')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "8258\n"
+     ]
+    }
+   ],
+   "source": [
+    "with open('courses_embeddings.csv', newline='') as f:\n",
+    "    reader = csv.reader(f)\n",
+    "    embeddings = list(reader)\n",
+    "embeddings = np.array(embeddings)\n",
+    "print(embeddings.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(8258, 8)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.decomposition import PCA\n",
+    "\n",
+    "pca = PCA(n_components=8)\n",
+    "pca_embeddings = pca.fit_transform(embeddings)\n",
+    "print(pca_embeddings.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.savetxt(\"courses_embeddings.csv\", pca_embeddings, delimiter=\",\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 296925b20f6106d161e257e9adf2662258f97805 Mon Sep 17 00:00:00 2001
From: Tom Bland <tom_bland@hotmail.co.uk>
Date: Thu, 2 May 2024 12:10:27 +0100
Subject: [PATCH 2/4] Python file, redo embeddings, requirements

---
 courses_embeddings.csv | 16516 +++++++++++++++++++--------------------
 embeddings.py          |    28 +
 requirements.txt       |     1 +
 3 files changed, 8287 insertions(+), 8258 deletions(-)
 create mode 100644 embeddings.py

diff --git a/courses_embeddings.csv b/courses_embeddings.csv
index ff6ffd7..7a95011 100644
--- a/courses_embeddings.csv
+++ b/courses_embeddings.csv
@@ -1,8258 +1,8258 @@
--7.554851552219412625e-01,-1.127680830313578131e+00,-1.102720951862033116e+00,2.127630942312482287e-01,2.646600103289947548e+00,1.198875992439544680e+00,2.960037045826692026e+00,2.036959493176711267e-01
-1.126983215180332953e+00,-7.901067297386830945e-02,2.770455084606779028e+00,-2.276718017568111208e+00,2.106781597826489882e+00,1.464673154740946837e+00,1.816785328823631529e+00,-3.454696865714982912e-01
-3.077162075876865188e+00,-1.164174712425207481e-01,1.151998428587269058e-01,-1.411926902376249571e-01,7.953835147752173372e-04,6.961539547789518112e-01,-1.840167557495335116e+00,-1.323186009641449834e+00
--7.982480880671858348e-01,-1.965706860767448605e+00,4.228784415617846904e+00,1.215998303105393363e+00,3.639399943255042791e-01,1.290559208905281752e+00,-5.252056913040366037e-01,-1.188499242890668911e-01
-3.956202177137914333e+00,-8.479082377687143790e-01,6.596348471676470870e-01,1.321004705251660694e+00,-1.093671789454583987e+00,1.795384835052269645e+00,6.646705604327014516e-01,4.652784137632807737e-01
-1.343020095571764605e+00,-5.169316433081206918e-01,-1.262733396942189668e+00,-1.774227313317257249e+00,1.455444793628130951e+00,-7.361487952180342242e-01,-4.282128922910219404e-01,-9.390077456103800291e-01
-2.335211886330372799e+00,4.848590469026738403e-01,-8.542664067631009495e-01,-5.237307483512777528e-01,-7.008287163115619611e-01,-5.169547519681673142e-01,-2.612307301554644967e-02,-1.170460612786975219e+00
--1.781916359390175453e+00,-2.550028926838275312e-01,-2.716438594866038336e+00,-1.665247374898773058e+00,-7.606518377435204092e-01,2.451837708179660069e+00,1.041077381817000935e+00,-1.777586928220967977e+00
--1.364466797599643400e+00,-1.706985902966589475e+00,-1.444384555442218110e+00,-1.148005134983652031e-01,-2.090775865338977191e+00,-3.108737101061939123e-01,5.784317613887663967e-01,-8.405351656050092934e-01
--2.103840447847978634e+00,-2.213798919336092297e+00,1.442434812072834527e+00,3.794354887213285399e-01,-1.025779012401051515e+00,-1.674587586642368453e-01,-5.857184604598509869e-01,-1.148150749267725201e+00
-3.652161401755250392e+00,4.659591150802520620e-01,-1.013206412985511395e+00,1.714834513798043858e+00,-2.050210935106226096e+00,1.673445266751600879e+00,-8.611990623935763534e-01,1.107915561295691909e+00
--2.637742179670311771e+00,8.961354851238638730e-01,1.368689301873813990e+00,-6.715418217182070881e-01,-8.917885887574545922e-01,1.704002703283806097e+00,2.194215396084925995e+00,-1.412313653179587958e-01
-3.798814475096862431e+00,-6.237242962195698182e-01,-1.435584646534212271e-02,1.556642879870826501e+00,-4.934971564604767047e-01,3.543046639625041516e-01,-1.170912572018197428e+00,-1.499314988026782813e-01
--2.907765780938715849e+00,-1.827164424281670085e-01,-1.093501987469090331e+00,-8.648404066225943154e-01,-1.091672221533941833e+00,2.550929925957440059e+00,7.313737526908721254e-01,-2.537404896305903157e-01
--2.577350210577540324e+00,-2.126628172297274078e-01,-9.574543169912863583e-01,2.234988203615227320e+00,6.733909323192814878e-01,-5.582604493972606052e-01,2.245801347830239381e-01,3.458042013008049698e-01
--2.585823287172183349e+00,-4.763209120435642485e-01,4.064968444420085647e-01,-3.172747353026462158e-01,5.276795747580762530e-01,3.471178078509334242e+00,5.419056295007846913e-01,-9.483634712208174333e-01
--3.097768896107846892e+00,-4.359950417150779689e-01,-5.314902289689065196e-01,2.076865586409112563e+00,-7.514334037707889324e-01,-2.820463380318261493e+00,2.031997734369266895e-01,6.348116313223227669e-01
--3.094261912167548978e+00,-1.315470695575921223e+00,1.186445924864235058e-01,1.699789998498633992e+00,-1.308742598270217439e+00,-1.624601987005460657e+00,-2.918948196502092474e-01,7.206416743876903341e-01
-3.498955127644525209e+00,1.519072715584959821e-01,-2.127971979734231134e-01,9.122592520753372014e-01,-8.628086221699724501e-01,-2.341700809048031517e-01,8.042041290978439727e-02,-5.663496387367435991e-01
--6.361453903419207467e-01,1.556004179722944025e+00,1.373008751798307614e+00,-1.680937909082621751e+00,-1.277897342715412776e+00,-1.097889257041851030e+00,2.878510772415669994e+00,1.356756854322683115e+00
-2.605932491480169588e+00,-7.909811594218240094e-01,1.887671903314129540e-01,-7.800957053126705842e-01,4.430100969986188186e-01,-5.925840020113308793e-01,-5.627214376564856346e-01,2.915333342728714250e-01
--2.100861092076524717e+00,-1.533341532128086993e+00,1.553783505454446878e+00,7.402493980319233557e-01,-1.090085443853542557e+00,-3.388511745175478040e+00,1.696818983029661165e+00,1.029273161086412675e-01
--1.411788246785459888e+00,-1.012423475058422229e+00,-2.959225235761757666e+00,-1.886382168427433559e+00,5.628651233733960035e-01,1.879607010483575813e+00,1.525983000196106332e+00,-7.114630014545936243e-01
-1.397681410375985478e-01,2.539791778436236935e+00,7.664411921212724854e-01,-1.975777341278925014e+00,1.582676984555563715e+00,-1.444344215350793492e+00,1.103234198256841880e+00,-4.994793047014167708e-02
-1.707167682466323777e+00,-5.671029234063370561e-01,-8.812704426954103276e-01,-1.102587552457262809e+00,2.410814936288316890e-01,-1.550888730195614462e+00,-1.699088966257665811e+00,-2.714647767731259265e+00
-3.612336829313114617e+00,3.893090241863803036e-02,-1.017316502027342695e+00,-6.296325389872872713e-02,2.437662608075399806e+00,-4.797096987966169013e-01,-1.671835665572136420e-01,-1.485746309870608295e+00
--2.552938656845525234e+00,-1.128821771495244874e+00,-4.946484440900783541e-01,3.424221063124349484e+00,-2.639761804591639338e-01,-7.485635142857913760e-01,-1.933382598046115564e-01,-6.889270768856056160e-01
--2.087376932276260089e+00,-3.912835411827018661e-01,-8.064111404872510436e-01,-1.861259197555215905e-01,-1.020320923744897357e+00,2.206028469508996892e+00,6.512370509576272948e-01,-5.646109063123395666e-01
-3.272397619433997651e+00,4.104628747264176258e-01,-1.501058613455987345e+00,1.071349012202785361e-01,1.530377066873598535e+00,-8.195792396160846982e-01,-3.421288918480169250e-01,-1.249481189106023349e+00
-3.982365526809051648e+00,-1.344145758594530726e-01,6.436994358033214514e-01,2.055797753572246922e+00,-1.287994929341749195e+00,1.870901100944533324e+00,5.688075675344043125e-01,9.857070198831867636e-01
--1.336684618667040247e+00,-1.265155249826443118e+00,-8.946046487935989111e-01,-2.238155667309913888e+00,-8.727080921854624140e-01,-1.583535501361488795e-01,-2.055878593032067325e+00,1.204721432706996387e+00
--1.984729568241931918e+00,-1.832248050522370164e+00,3.134223976007128432e+00,2.935927811900980178e-01,-4.799853561139604263e-01,6.592185335638867105e-02,-1.609839211658330660e+00,-1.780690111186951974e+00
-1.294366674953707219e-01,1.602530587618446190e-01,1.770495183322730925e+00,-4.977361924467055831e-01,1.999448951161705512e+00,3.454505986828835251e+00,8.724516469295401366e-01,6.175335611299369587e-01
--5.133149643678571739e-01,-2.058964085350247775e+00,-1.923399327619407684e+00,-6.746687546891544374e-01,2.334512323642319309e+00,2.844288135783039004e-02,8.646949782371990967e-01,-2.132823422427494453e+00
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+-8.276461958885192871e-01,-1.909395456314086914e+00,2.809467315673828125e+00,4.246509075164794922e-01,3.483495116233825684e-01,1.331041693687438965e+00,-1.406992673873901367e-01,2.141777276992797852e-01
+3.267452239990234375e+00,7.294617295265197754e-01,-1.403402686119079590e+00,1.734746843576431274e-01,2.439399003982543945e+00,-8.260248899459838867e-01,3.198705315589904785e-01,-4.509192109107971191e-01
+-9.402338862419128418e-01,-2.005759477615356445e+00,2.723618268966674805e+00,-1.256126880645751953e+00,-1.357927620410919189e-01,-6.764510273933410645e-01,-1.556716799736022949e+00,-1.644306540489196777e+00
+-2.010625362396240234e+00,-1.666222095489501953e+00,2.679165840148925781e+00,1.816869825124740601e-01,-6.697746515274047852e-01,-1.596440821886062622e-01,-1.675237655639648438e+00,-1.231384038925170898e+00
+-1.476045608520507812e+00,-8.422175645828247070e-01,2.050003528594970703e+00,-5.131206512451171875e-01,-1.461020410060882568e-01,6.045441031455993652e-01,-1.652154684066772461e+00,-8.161334395408630371e-01
+4.095159530639648438e+00,-5.842232108116149902e-01,-2.307717055082321167e-01,2.000496625900268555e+00,-1.297757863998413086e+00,-2.146133594214916229e-02,-1.472617983818054199e-01,1.022991240024566650e-01
+-2.455796957015991211e+00,-1.118438363075256348e+00,1.784605026245117188e+00,-1.187220588326454163e-01,1.508105099201202393e-01,4.940759539604187012e-01,-1.100134372711181641e+00,3.937335014343261719e-01
+4.990801811218261719e+00,-1.530251502990722656e-01,3.827368021011352539e-01,1.795078277587890625e+00,-1.584979414939880371e+00,1.456150650978088379e+00,2.445371299982070923e-01,1.090543791651725769e-01
+-2.077640533447265625e+00,-3.689476549625396729e-01,-8.243335485458374023e-01,2.082362622022628784e-01,-5.356313586235046387e-01,-2.463449001312255859e+00,-3.660831749439239502e-01,-9.265089631080627441e-01
diff --git a/embeddings.py b/embeddings.py
new file mode 100644
index 0000000..d24db32
--- /dev/null
+++ b/embeddings.py
@@ -0,0 +1,28 @@
+import csv
+import numpy as np
+from sentence_transformers import SentenceTransformer
+from sklearn.decomposition import PCA
+
+# Load the courses
+with open("courses.csv", newline="") as f:
+    reader = csv.reader(f)
+    courses = list(reader)
+print(len(courses))
+
+# Load the model
+model = SentenceTransformer("paraphrase-MiniLM-L6-v2")
+
+# Compute the embeddings
+embeddings = []
+for course in courses:
+    embeddings.append(model.encode(course)[0])
+embeddings_array = np.array(embeddings)
+print(embeddings_array.shape)
+
+# PCA
+pca = PCA(n_components=8)
+pca_embeddings = pca.fit_transform(embeddings_array)
+print(pca_embeddings.shape)
+
+# Save the embeddings
+np.savetxt("courses_embeddings.csv", pca_embeddings, delimiter=",")
diff --git a/requirements.txt b/requirements.txt
index 209b006..c9aff45 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -41,3 +41,4 @@ tzdata==2024.1
 urllib3==2.2.1
 wasabi==1.1.2
 weasel==0.3.4
+sentence-transformers

From e3d2e96949d50ed0ab5b5365333e5523c1496882 Mon Sep 17 00:00:00 2001
From: Tom Bland <tom_bland@hotmail.co.uk>
Date: Thu, 2 May 2024 14:57:27 +0100
Subject: [PATCH 3/4] PCA, categories, distances

---
 .gitignore                                   |    2 +
 courses_embeddings.csv                       | 8258 ------------------
 embeddings.ipynb                             |  123 -
 embeddings.py                                |   28 -
 subject_embeddings/categories.csv            |   21 +
 subject_embeddings/categories_embeddings.csv |   21 +
 subject_embeddings/courses_embeddings.csv    | 8258 ++++++++++++++++++
 subject_embeddings/embeddings.py             |   33 +
 subject_embeddings/embeddings_pca.py         |   38 +
 subject_embeddings/subject_distances.csv     | 8258 ++++++++++++++++++
 10 files changed, 16631 insertions(+), 8409 deletions(-)
 delete mode 100644 courses_embeddings.csv
 delete mode 100644 embeddings.ipynb
 delete mode 100644 embeddings.py
 create mode 100644 subject_embeddings/categories.csv
 create mode 100644 subject_embeddings/categories_embeddings.csv
 create mode 100644 subject_embeddings/courses_embeddings.csv
 create mode 100644 subject_embeddings/embeddings.py
 create mode 100644 subject_embeddings/embeddings_pca.py
 create mode 100644 subject_embeddings/subject_distances.csv

diff --git a/.gitignore b/.gitignore
index 7cffbf3..9d939e3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,3 +2,5 @@
 venv/
 .venv/
 
+subject_embeddings/categories_embeddings_full.csv
+subject_embeddings/courses_embeddings_full.csv
diff --git a/courses_embeddings.csv b/courses_embeddings.csv
deleted file mode 100644
index 7a95011..0000000
--- a/courses_embeddings.csv
+++ /dev/null
@@ -1,8258 +0,0 @@
--7.554837465286254883e-01,-1.127574086189270020e+00,-1.102277040481567383e+00,2.120263278484344482e-01,2.643863201141357422e+00,1.197044849395751953e+00,2.940346002578735352e+00,1.788628250360488892e-01
-1.126985073089599609e+00,-7.886485755443572998e-02,2.771025657653808594e+00,-2.278363227844238281e+00,2.108189105987548828e+00,1.466178059577941895e+00,1.792640805244445801e+00,-3.737736046314239502e-01
-3.077166080474853516e+00,-1.162089258432388306e-01,1.157906651496887207e-01,-1.436743736267089844e-01,-7.438930915668606758e-04,6.973052620887756348e-01,-1.878207921981811523e+00,-1.346205234527587891e+00
--7.982516288757324219e-01,-1.965837001800537109e+00,4.228620052337646484e+00,1.216463446617126465e+00,3.651997447013854980e-01,1.292009949684143066e+00,-5.156852006912231445e-01,-9.967178106307983398e-02
-3.956204652786254883e+00,-8.478704094886779785e-01,6.598100662231445312e-01,1.320437788963317871e+00,-1.094585418701171875e+00,1.795080304145812988e+00,6.484173536300659180e-01,4.558703899383544922e-01
-1.343014955520629883e+00,-5.168460011482238770e-01,-1.262363314628601074e+00,-1.774217963218688965e+00,1.457859277725219727e+00,-7.366259694099426270e-01,-4.250851869583129883e-01,-9.659418463706970215e-01
-2.335211753845214844e+00,4.848299622535705566e-01,-8.542492985725402832e-01,-5.242250561714172363e-01,-6.978428363800048828e-01,-5.142887830734252930e-01,-2.624738961458206177e-02,-1.163880705833435059e+00
--1.781919717788696289e+00,-2.549966275691986084e-01,-2.716338157653808594e+00,-1.664863586425781250e+00,-7.593855261802673340e-01,2.451143741607666016e+00,1.047921180725097656e+00,-1.788732767105102539e+00
--1.364474773406982422e+00,-1.707080721855163574e+00,-1.444670915603637695e+00,-1.151400879025459290e-01,-2.089054107666015625e+00,-3.075565695762634277e-01,5.817998647689819336e-01,-8.084905743598937988e-01
--2.103841543197631836e+00,-2.213713169097900391e+00,1.442485809326171875e+00,3.794878423213958740e-01,-1.026960849761962891e+00,-1.690789908170700073e-01,-5.839411616325378418e-01,-1.155150890350341797e+00
-3.652164697647094727e+00,4.660585522651672363e-01,-1.012813091278076172e+00,1.713372588157653809e+00,-2.050304174423217773e+00,1.675009608268737793e+00,-8.884338140487670898e-01,1.092391133308410645e+00
--2.637741565704345703e+00,8.962914347648620605e-01,1.369269609451293945e+00,-6.721015572547912598e-01,-8.903004527091979980e-01,1.702710747718811035e+00,2.190493583679199219e+00,-1.833799034357070923e-01
-3.798815250396728516e+00,-6.236721873283386230e-01,-1.417100336402654648e-02,1.555894136428833008e+00,-4.942851960659027100e-01,3.543057739734649658e-01,-1.186987042427062988e+00,-1.568570137023925781e-01
--2.907768726348876953e+00,-1.826930940151214600e-01,-1.093329191207885742e+00,-8.646757602691650391e-01,-1.090458750724792480e+00,2.550719022750854492e+00,7.363792657852172852e-01,-2.676968276500701904e-01
--2.577353239059448242e+00,-2.126839160919189453e-01,-9.575346112251281738e-01,2.235666275024414062e+00,6.726778149604797363e-01,-5.594594478607177734e-01,2.319586426019668579e-01,3.454115986824035645e-01
--2.585825920104980469e+00,-4.763230979442596436e-01,4.065793156623840332e-01,-3.171499967575073242e-01,5.291345715522766113e-01,3.471094608306884766e+00,5.508191585540771484e-01,-9.565750956535339355e-01
--3.097769975662231445e+00,-4.360283315181732178e-01,-5.317850112915039062e-01,2.078641653060913086e+00,-7.541190981864929199e-01,-2.825346946716308594e+00,2.336096763610839844e-01,6.380460858345031738e-01
--3.094261646270751953e+00,-1.315457940101623535e+00,1.185307651758193970e-01,1.700742483139038086e+00,-1.310599088668823242e+00,-1.627665281295776367e+00,-2.778570652008056641e-01,7.148911952972412109e-01
-3.498955011367797852e+00,1.518928259611129761e-01,-2.127780318260192871e-01,9.117289185523986816e-01,-8.607656359672546387e-01,-2.315847873687744141e-01,7.308053970336914062e-02,-5.591209530830383301e-01
--6.361499428749084473e-01,1.556069850921630859e+00,1.373029232025146484e+00,-1.680926561355590820e+00,-1.275453448295593262e+00,-1.097079157829284668e+00,2.879260063171386719e+00,1.338407278060913086e+00
-2.605930566787719727e+00,-7.909461259841918945e-01,1.887674778699874878e-01,-7.793589234352111816e-01,4.424053728580474854e-01,-5.949066877365112305e-01,-5.611425638198852539e-01,2.723978757858276367e-01
--2.100862503051757812e+00,-1.533263683319091797e+00,1.553913235664367676e+00,7.406172156333923340e-01,-1.090522289276123047e+00,-3.390965461730957031e+00,1.704029798507690430e+00,7.873542606830596924e-02
--1.411796092987060547e+00,-1.012447595596313477e+00,-2.959268331527709961e+00,-1.886423468589782715e+00,5.663818120956420898e-01,1.882634758949279785e+00,1.535488009452819824e+00,-7.047595977783203125e-01
-1.397719979286193848e-01,2.539723157882690430e+00,7.662137746810913086e-01,-1.974939227104187012e+00,1.580532193183898926e+00,-1.446003913879394531e+00,1.110175251960754395e+00,-4.197749122977256775e-02
-1.707171201705932617e+00,-5.671772360801696777e-01,-8.815551400184631348e-01,-1.101887702941894531e+00,2.377571314573287964e-01,-1.553226232528686523e+00,-1.687536597251892090e+00,-2.700483560562133789e+00
-3.612331390380859375e+00,3.890361264348030090e-02,-1.017474889755249023e+00,-6.145504862070083618e-02,2.438878774642944336e+00,-4.818574190139770508e-01,-1.330122798681259155e-01,-1.493274688720703125e+00
--2.552943706512451172e+00,-1.128944873809814453e+00,-4.947830140590667725e-01,3.423879384994506836e+00,-2.630032598972320557e-01,-7.449687123298645020e-01,-2.005050629377365112e-01,-6.646214723587036133e-01
--2.087373971939086914e+00,-3.911837935447692871e-01,-8.062197566032409668e-01,-1.862338781356811523e-01,-1.022331118583679199e+00,2.204091548919677734e+00,6.399443149566650391e-01,-5.837784409523010254e-01
-3.272395610809326172e+00,4.104533791542053223e-01,-1.501193642616271973e+00,1.078146547079086304e-01,1.531606316566467285e+00,-8.201240301132202148e-01,-3.248385787010192871e-01,-1.253684282302856445e+00
-3.982367515563964844e+00,-1.344318389892578125e-01,6.435241103172302246e-01,2.056235790252685547e+00,-1.290157914161682129e+00,1.869651317596435547e+00,5.657696127891540527e-01,9.878773093223571777e-01
--1.336683034896850586e+00,-1.265193700790405273e+00,-8.947203755378723145e-01,-2.237964391708374023e+00,-8.736517429351806641e-01,-1.590525358915328979e-01,-2.055554151535034180e+00,1.214779496192932129e+00
--1.984729647636413574e+00,-1.832283258438110352e+00,3.133970737457275391e+00,2.941735684871673584e-01,-4.831931591033935547e-01,6.403084844350814819e-02,-1.599980831146240234e+00,-1.763504028320312500e+00
-1.294399201869964600e-01,1.605184674263000488e-01,1.771458983421325684e+00,-5.001320242881774902e-01,2.000530242919921875e+00,3.455034255981445312e+00,8.381437659263610840e-01,5.618919134140014648e-01
--5.133165121078491211e-01,-2.058904170989990234e+00,-1.922991991043090820e+00,-6.756625771522521973e-01,2.333971261978149414e+00,2.896076068282127380e-02,8.424660563468933105e-01,-2.152057170867919922e+00
-6.809778213500976562e-01,1.167263746261596680e+00,-1.561540722846984863e+00,3.880810439586639404e-01,1.874482512474060059e+00,-7.319902777671813965e-01,-1.269230842590332031e+00,-1.915680646896362305e+00
--1.446454763412475586e+00,1.642589569091796875e+00,-8.412164449691772461e-02,4.943825602531433105e-01,-6.796756982803344727e-01,-1.152668237686157227e+00,-7.203481793403625488e-01,8.923766016960144043e-01
-3.437148809432983398e+00,2.301215976476669312e-01,-9.632895588874816895e-01,1.085901930928230286e-01,2.190802812576293945e+00,-6.561572551727294922e-01,-7.151782512664794922e-02,-7.489236593246459961e-01
-2.938727378845214844e+00,-6.481451392173767090e-01,-4.397426173090934753e-02,1.506918519735336304e-01,3.342431783676147461e+00,-1.460278391838073730e+00,5.993599072098731995e-02,-3.420035168528556824e-02
-1.718808293342590332e+00,-3.932556211948394775e-01,-5.237625837326049805e-01,-5.994111895561218262e-01,-8.054511547088623047e-01,7.077973484992980957e-01,-1.267748355865478516e+00,5.558648109436035156e-01
--5.582060813903808594e-01,-2.095241546630859375e+00,-7.058767676353454590e-01,-1.834625005722045898e+00,9.637269973754882812e-01,1.155243873596191406e+00,1.409586191177368164e+00,-4.174356162548065186e-01
-2.523858070373535156e+00,-1.116383746266365051e-01,1.688058376312255859e-01,2.200465917587280273e+00,-1.468145608901977539e+00,-5.938088893890380859e-01,-7.922101616859436035e-01,5.200132131576538086e-01
--3.168345451354980469e+00,-1.252778768539428711e-01,-2.044431716203689575e-01,2.900875091552734375e+00,2.346524596214294434e-01,-1.759045243263244629e+00,-5.079612135887145996e-01,1.005450859665870667e-01
--2.065915107727050781e+00,6.464835405349731445e-01,1.912179231643676758e+00,9.106256961822509766e-01,1.812641173601150513e-01,-7.014702558517456055e-01,-1.775554060935974121e+00,-7.715201973915100098e-01
--1.195896029472351074e+00,-3.222872734069824219e+00,-1.351628422737121582e+00,-1.560731649398803711e+00,-1.445366740226745605e+00,1.361814379692077637e+00,1.075419425964355469e+00,1.156111598014831543e+00
-9.492419958114624023e-01,-1.693803191184997559e+00,1.368503570556640625e+00,-2.854065895080566406e+00,6.824048757553100586e-01,-1.212990403175354004e+00,3.198813199996948242e-01,-1.325354218482971191e+00
--3.149407207965850830e-01,2.561434268951416016e+00,-6.214286386966705322e-02,-1.583703398704528809e+00,1.948588609695434570e+00,-1.304013371467590332e+00,-1.437065303325653076e-01,-7.424525618553161621e-01
--1.937002241611480713e-01,-1.052751064300537109e+00,-2.475329875946044922e+00,6.788747310638427734e-01,1.090417951345443726e-01,1.326285749673843384e-01,1.850006341934204102e+00,-1.196819663047790527e+00
-1.771751046180725098e+00,1.868856668472290039e+00,-1.067330002784729004e+00,-4.487103819847106934e-01,3.645097494125366211e+00,3.743721246719360352e-01,4.101244732737541199e-02,-9.594281911849975586e-01
--3.159172534942626953e+00,-2.381531596183776855e-01,-2.068529844284057617e+00,-8.461440205574035645e-01,-8.411192297935485840e-01,2.183491706848144531e+00,1.776543974876403809e+00,-1.447172999382019043e+00
--1.289032220840454102e+00,7.622954994440078735e-02,-2.467008352279663086e+00,9.025238752365112305e-01,1.457203831523656845e-02,9.236417412757873535e-01,5.076637864112854004e-01,1.080438261851668358e-03
--6.548932790756225586e-01,-1.793445825576782227e+00,-4.457610547542572021e-01,-2.169557094573974609e+00,4.550254642963409424e-01,-1.407015919685363770e+00,-1.962365210056304932e-01,1.497929692268371582e+00
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--1.600080251693725586e+00,-2.086106061935424805e+00,1.155139446258544922e+00,8.802448511123657227e-01,-1.478787422180175781e+00,-1.081315398216247559e+00,-2.159603118896484375e+00,-2.831303358078002930e+00
--2.661152362823486328e+00,-8.150785565376281738e-01,2.070238828659057617e+00,-1.083120107650756836e+00,1.522143036127090454e-01,1.129420876502990723e+00,-2.643350601196289062e+00,-8.735001683235168457e-01
--2.527483463287353516e+00,-1.000428199768066406e+00,-2.848709583282470703e+00,-9.920529723167419434e-01,-8.953230977058410645e-01,3.549845933914184570e+00,1.848241925239562988e+00,-1.150350451469421387e+00
--3.026653289794921875e+00,3.913785517215728760e-01,-2.304834723472595215e-01,2.848092555999755859e+00,-2.990838885307312012e-01,-2.096863269805908203e+00,-1.503854691982269287e-01,-3.373323082923889160e-01
--2.369105339050292969e+00,-9.584408402442932129e-01,-1.581843852996826172e+00,-4.826131761074066162e-01,-6.759645938873291016e-01,1.015741348266601562e+00,5.853581428527832031e-01,-5.637133121490478516e-01
-2.370873451232910156e+00,-7.669968064874410629e-03,-7.233282327651977539e-01,-7.400372624397277832e-01,1.572671085596084595e-01,-7.371603250503540039e-01,-1.619689226150512695e+00,-2.211106538772583008e+00
-2.977761030197143555e+00,8.586004972457885742e-01,-8.628760278224945068e-02,8.744104951620101929e-02,-6.522976160049438477e-01,-1.012296319007873535e+00,-5.967820882797241211e-01,9.221052378416061401e-02
-3.888018846511840820e+00,-8.714670538902282715e-01,2.314442768692970276e-02,5.175804495811462402e-01,6.257444024085998535e-01,8.326767086982727051e-01,4.525381326675415039e-01,3.071435391902923584e-01
--2.593631505966186523e+00,-7.266129255294799805e-01,-1.115599989891052246e+00,2.243680238723754883e+00,5.725394487380981445e-01,-5.814355611801147461e-01,-2.765103578567504883e-01,6.745846867561340332e-01
--1.864687204360961914e+00,1.593565583229064941e+00,-2.814399242401123047e+00,1.479522109031677246e+00,-2.791840434074401855e-01,2.783815145492553711e+00,1.390943169593811035e+00,-9.471405148506164551e-01
-6.751039624214172363e-01,-1.048606514930725098e+00,-2.252880573272705078e+00,-1.221714973449707031e+00,4.949343800544738770e-01,-7.588961124420166016e-01,-5.753352046012878418e-01,1.509402632713317871e+00
--1.035124897956848145e+00,-1.002650856971740723e+00,-1.099012017250061035e+00,-3.056742429733276367e+00,-4.256709814071655273e-01,-1.101656675338745117e+00,-1.656457901000976562e+00,1.937633156776428223e+00
--1.159472465515136719e+00,2.615011930465698242e+00,-5.926111340522766113e-01,8.062412589788436890e-02,1.303379774093627930e+00,1.797474861145019531e+00,-2.320754766464233398e+00,1.725093483924865723e+00
--2.081726074218750000e+00,-2.426383972167968750e+00,2.503332853317260742e+00,6.574355959892272949e-01,9.033271670341491699e-01,1.854358196258544922e+00,-1.067335724830627441e+00,-9.733616113662719727e-01
--1.015740513801574707e+00,-2.075204610824584961e+00,-4.051970243453979492e-01,-3.401903212070465088e-01,2.711016654968261719e+00,1.204408049583435059e+00,2.393562555313110352e+00,-2.818208336830139160e-01
--1.979019403457641602e+00,2.108450889587402344e+00,1.929669260978698730e+00,1.077090859413146973e+00,8.428986668586730957e-01,1.948480129241943359e+00,-1.344293713569641113e+00,2.856750786304473877e-01
-1.291379928588867188e+00,1.881788134574890137e+00,3.543204367160797119e-01,-2.838051617145538330e-01,-1.232188344001770020e+00,-2.856047451496124268e-01,1.458454012870788574e+00,3.195897638797760010e-01
--2.552050352096557617e+00,7.423109561204910278e-02,-2.184514045715332031e+00,5.597058311104774475e-02,-6.565132141113281250e-01,1.977626442909240723e+00,2.948745965957641602e+00,-2.360388755798339844e+00
-1.591110467910766602e+00,-1.485233783721923828e+00,1.016341328620910645e+00,-1.176159143447875977e+00,4.977912008762359619e-01,-8.151949048042297363e-01,-5.427581071853637695e-01,2.739461660385131836e-01
-3.710717439651489258e+00,-4.742948412895202637e-01,-1.664951890707015991e-01,1.800765991210937500e+00,-7.866029739379882812e-01,3.258006572723388672e-01,-2.728867828845977783e-01,1.801485419273376465e-01
--6.595742702484130859e-01,-7.543148994445800781e-01,-1.482950210571289062e+00,1.205627918243408203e+00,-4.890890419483184814e-01,-6.794502139091491699e-01,7.006184458732604980e-01,-1.498661398887634277e+00
-2.116530984640121460e-01,-2.430776834487915039e+00,2.530267715454101562e+00,6.764783263206481934e-01,-1.075386106967926025e-01,3.730302751064300537e-01,-4.050199687480926514e-01,-6.626428961753845215e-01
--2.199267148971557617e+00,2.315154075622558594e+00,-4.546469748020172119e-01,5.721865892410278320e-01,1.431026816368103027e+00,1.353565573692321777e+00,-6.400942057371139526e-02,1.095067381858825684e+00
--2.116959571838378906e+00,2.036288082599639893e-01,-5.907610654830932617e-01,1.720889091491699219e+00,3.631865024566650391e+00,7.331125140190124512e-01,-2.492639422416687012e-01,1.502843379974365234e+00
--2.254778385162353516e+00,1.434988856315612793e+00,-6.781412363052368164e-01,-1.249562740325927734e+00,-1.818968176841735840e+00,2.135494232177734375e+00,-1.080313086509704590e+00,4.852416217327117920e-01
-2.178636074066162109e+00,-6.129482388496398926e-01,-1.072518825531005859e+00,6.924206018447875977e-01,4.415120124816894531e+00,-2.084976583719253540e-01,1.388950109481811523e+00,5.535954609513282776e-02
-3.542986392974853516e+00,9.002476334571838379e-01,-1.350955367088317871e+00,-8.613734245300292969e-01,1.255985140800476074e+00,-8.163260817527770996e-01,1.989239305257797241e-01,-1.566948413848876953e+00
-2.932620286941528320e+00,-1.019802212715148926e+00,-7.971200346946716309e-01,-2.177136093378067017e-01,2.702292203903198242e+00,-3.410449326038360596e-01,1.779875397682189941e+00,-6.460242271423339844e-01
--9.374043345451354980e-01,-3.782649636268615723e-01,-1.296749830245971680e+00,5.742388367652893066e-01,-2.033826112747192383e+00,2.876806557178497314e-01,-4.094676077365875244e-01,2.268929034471511841e-01
--9.053790569305419922e-02,1.538387298583984375e+00,-1.338594794273376465e+00,-2.976898252964019775e-01,3.470748424530029297e+00,3.039681315422058105e-01,-1.664258599281311035e+00,-9.945713877677917480e-01
--1.370227456092834473e+00,1.438976377248764038e-01,-4.827795922756195068e-01,3.034735202789306641e+00,2.296089410781860352e+00,-1.373848080635070801e+00,-1.112770080566406250e+00,2.198267579078674316e-01
--8.276461958885192871e-01,-1.909395456314086914e+00,2.809467315673828125e+00,4.246509075164794922e-01,3.483495116233825684e-01,1.331041693687438965e+00,-1.406992673873901367e-01,2.141777276992797852e-01
-3.267452239990234375e+00,7.294617295265197754e-01,-1.403402686119079590e+00,1.734746843576431274e-01,2.439399003982543945e+00,-8.260248899459838867e-01,3.198705315589904785e-01,-4.509192109107971191e-01
--9.402338862419128418e-01,-2.005759477615356445e+00,2.723618268966674805e+00,-1.256126880645751953e+00,-1.357927620410919189e-01,-6.764510273933410645e-01,-1.556716799736022949e+00,-1.644306540489196777e+00
--2.010625362396240234e+00,-1.666222095489501953e+00,2.679165840148925781e+00,1.816869825124740601e-01,-6.697746515274047852e-01,-1.596440821886062622e-01,-1.675237655639648438e+00,-1.231384038925170898e+00
--1.476045608520507812e+00,-8.422175645828247070e-01,2.050003528594970703e+00,-5.131206512451171875e-01,-1.461020410060882568e-01,6.045441031455993652e-01,-1.652154684066772461e+00,-8.161334395408630371e-01
-4.095159530639648438e+00,-5.842232108116149902e-01,-2.307717055082321167e-01,2.000496625900268555e+00,-1.297757863998413086e+00,-2.146133594214916229e-02,-1.472617983818054199e-01,1.022991240024566650e-01
--2.455796957015991211e+00,-1.118438363075256348e+00,1.784605026245117188e+00,-1.187220588326454163e-01,1.508105099201202393e-01,4.940759539604187012e-01,-1.100134372711181641e+00,3.937335014343261719e-01
-4.990801811218261719e+00,-1.530251502990722656e-01,3.827368021011352539e-01,1.795078277587890625e+00,-1.584979414939880371e+00,1.456150650978088379e+00,2.445371299982070923e-01,1.090543791651725769e-01
--2.077640533447265625e+00,-3.689476549625396729e-01,-8.243335485458374023e-01,2.082362622022628784e-01,-5.356313586235046387e-01,-2.463449001312255859e+00,-3.660831749439239502e-01,-9.265089631080627441e-01
diff --git a/embeddings.ipynb b/embeddings.ipynb
deleted file mode 100644
index 9eeb20c..0000000
--- a/embeddings.ipynb
+++ /dev/null
@@ -1,123 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "8258\n"
-     ]
-    }
-   ],
-   "source": [
-    "import csv\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with open('courses.csv', newline='') as f:\n",
-    "    reader = csv.reader(f)\n",
-    "    courses = list(reader)\n",
-    "print(len(courses))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sentence_transformers import SentenceTransformer\n",
-    "model = SentenceTransformer('paraphrase-MiniLM-L6-v2')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "8258\n"
-     ]
-    }
-   ],
-   "source": [
-    "with open('courses_embeddings.csv', newline='') as f:\n",
-    "    reader = csv.reader(f)\n",
-    "    embeddings = list(reader)\n",
-    "embeddings = np.array(embeddings)\n",
-    "print(embeddings.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(8258, 8)\n"
-     ]
-    }
-   ],
-   "source": [
-    "from sklearn.decomposition import PCA\n",
-    "\n",
-    "pca = PCA(n_components=8)\n",
-    "pca_embeddings = pca.fit_transform(embeddings)\n",
-    "print(pca_embeddings.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "np.savetxt(\"courses_embeddings.csv\", pca_embeddings, delimiter=\",\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": ".venv",
-   "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": "3.11.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/embeddings.py b/embeddings.py
deleted file mode 100644
index d24db32..0000000
--- a/embeddings.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import csv
-import numpy as np
-from sentence_transformers import SentenceTransformer
-from sklearn.decomposition import PCA
-
-# Load the courses
-with open("courses.csv", newline="") as f:
-    reader = csv.reader(f)
-    courses = list(reader)
-print(len(courses))
-
-# Load the model
-model = SentenceTransformer("paraphrase-MiniLM-L6-v2")
-
-# Compute the embeddings
-embeddings = []
-for course in courses:
-    embeddings.append(model.encode(course)[0])
-embeddings_array = np.array(embeddings)
-print(embeddings_array.shape)
-
-# PCA
-pca = PCA(n_components=8)
-pca_embeddings = pca.fit_transform(embeddings_array)
-print(pca_embeddings.shape)
-
-# Save the embeddings
-np.savetxt("courses_embeddings.csv", pca_embeddings, delimiter=",")
diff --git a/subject_embeddings/categories.csv b/subject_embeddings/categories.csv
new file mode 100644
index 0000000..eed0070
--- /dev/null
+++ b/subject_embeddings/categories.csv
@@ -0,0 +1,21 @@
+architecture
+area and gender studies
+business
+communication and information sciences
+education
+fine and performing arts
+history
+interdisciplinary
+language and literature
+law and legal studies
+philosophy and religious studies
+social sciences
+agriculture
+behavioural sciences
+biological sciences
+ecosystem sciences
+engineering
+environmental sciences
+geosciences
+health and medical sciences
+mathematical and physical sciences
\ No newline at end of file
diff --git a/subject_embeddings/categories_embeddings.csv b/subject_embeddings/categories_embeddings.csv
new file mode 100644
index 0000000..b1c74c4
--- /dev/null
+++ b/subject_embeddings/categories_embeddings.csv
@@ -0,0 +1,21 @@
+-1.102624857088277510e+00,1.087277348620861589e-01,-1.453716320997038569e-01,2.331908905439306956e+00,3.110166075988385348e+00,-1.511336040688659565e+00,-8.419510789831782249e-01,5.766068104903604441e-01
+1.710999740934283364e-01,-4.678233164612379813e-01,-9.911334127541090444e-01,-1.073902311129570020e+00,4.715857542057954044e-01,1.191132188464323061e-01,5.219442366152115403e-02,1.309360690721178999e+00
+-2.216964148433744342e+00,-9.930127193888322878e-01,3.230067090814068287e+00,1.928923842090035923e-01,1.999482412505880491e-02,1.273167685897561574e+00,-1.834096447747598946e+00,-1.078312921534673618e+00
+-1.815587103135677838e+00,-3.335193483739981035e-01,1.085889519446687546e+00,4.471715480845209756e-01,-1.137552510795586835e+00,-1.396446304995597076e+00,6.661874922502636354e-01,-2.680689227844960110e-01
+-1.152247057766288663e+00,-1.469969848240400889e+00,-1.674861010743555534e+00,-1.673688352240982891e+00,-5.756325734195876231e-01,-1.441503892568808620e+00,-1.323235566829999543e+00,1.550583205767992911e+00
+-7.506145691598330172e-02,3.294397914363187851e+00,-1.264748322726748864e+00,-1.193698310510338256e+00,8.680087082635309925e-02,6.062004911891506476e-01,-1.216460631791192348e+00,-3.186685533473340715e-01
+2.583688242989902850e+00,-7.572450985481319341e-01,-1.600819304691958878e-01,-6.531900837272347493e-01,2.223654877669864138e+00,-5.888096587213267341e-01,7.819837674094305413e-01,-9.170228345462475561e-01
+-9.758403297066742255e-01,-3.795348382062496695e-01,-6.159662265958005811e-01,7.650225192992722578e-02,-2.314654237618970212e-01,-1.555076947586041536e+00,-1.375601432739378682e-01,6.777580831439932174e-01
+2.815720787968761130e+00,9.063670662208432871e-01,-4.362476077187036894e-01,1.901409503389154057e-02,-1.082247867654233753e+00,-7.076048955246676542e-01,-2.789423875579398748e-01,-1.383387501411146026e-01
+4.204328751188934343e-01,-5.723413735458227070e-01,3.368091283313174311e-01,-1.932749063702591696e+00,-5.585559848988665976e-01,-1.388299826481188992e+00,-7.914036681705043375e-01,-1.204384505845936149e+00
+1.864851835773616351e+00,-1.109831331556454082e+00,-8.628766972626686904e-01,-1.405572732762157440e+00,5.234685390099121927e-01,-1.134890969421409324e+00,-1.976196235206769014e+00,-1.948485529975625852e+00
+-9.321256817753389434e-01,-1.355950068504587103e+00,-4.551791131968617177e-01,-1.111505181128880304e+00,1.176494483641926485e-02,-1.330821840537753653e+00,2.228150649228468339e-01,-4.478724350406492194e-01
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diff --git a/subject_embeddings/courses_embeddings.csv b/subject_embeddings/courses_embeddings.csv
new file mode 100644
index 0000000..2daa74f
--- /dev/null
+++ b/subject_embeddings/courses_embeddings.csv
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diff --git a/subject_embeddings/embeddings.py b/subject_embeddings/embeddings.py
new file mode 100644
index 0000000..de91e5d
--- /dev/null
+++ b/subject_embeddings/embeddings.py
@@ -0,0 +1,33 @@
+import csv
+import numpy as np
+from sentence_transformers import SentenceTransformer
+
+# Load the model
+model = SentenceTransformer("paraphrase-MiniLM-L6-v2")
+
+# Load the courses
+with open("../courses.csv", newline="") as f:
+    courses = [row for row in csv.reader(f)]
+print(len(courses))
+
+# Compute the embeddings
+embeddings = []
+for course in courses:
+    embeddings.append(model.encode(course)[0])
+embeddings_array = np.array(embeddings)
+print(embeddings_array.shape)
+np.savetxt("courses_embeddings_full.csv", embeddings_array, delimiter=",")
+
+# Load the categories
+with open("categories.csv", newline="") as f:
+    reader = csv.reader(f)
+    categories = list(reader)
+print(len(categories))
+
+# Category embeddings
+embeddings = []
+for category in categories:
+    embeddings.append(model.encode(category)[0])
+embeddings_array = np.array(embeddings)
+print(embeddings_array.shape)
+np.savetxt("categories_embeddings_full.csv", embeddings_array, delimiter=",")
diff --git a/subject_embeddings/embeddings_pca.py b/subject_embeddings/embeddings_pca.py
new file mode 100644
index 0000000..f2f0bcd
--- /dev/null
+++ b/subject_embeddings/embeddings_pca.py
@@ -0,0 +1,38 @@
+import numpy as np
+from sklearn.decomposition import PCA
+from scipy.spatial.distance import cdist
+import pandas as pd
+import csv
+
+# Load the courses
+with open("../courses.csv", newline="") as f:
+    courses = [row for row in csv.reader(f)]
+print(len(courses))
+
+# Load the categories
+with open("categories.csv", newline="") as f:
+    categories = [row for row in csv.reader(f)]
+print(len(categories))
+
+# Embeddings
+embeddings_array = np.loadtxt("courses_embeddings_full.csv", delimiter=",")
+categories_embeddings_array = np.loadtxt(
+    "categories_embeddings_full.csv", delimiter=","
+)
+
+# PCA
+pca = PCA(n_components=8)
+pca_embeddings = pca.fit_transform(embeddings_array)
+print(pca_embeddings.shape)
+
+# Category PCA
+pca_categories = pca.transform(categories_embeddings_array)
+
+# Save the embeddings
+np.savetxt("courses_embeddings.csv", pca_embeddings, delimiter=",")
+np.savetxt("categories_embeddings.csv", pca_categories, delimiter=",")
+
+# Distances
+subject_distances = cdist(embeddings_array, categories_embeddings_array)
+df = pd.DataFrame(subject_distances)
+df.to_csv("subject_distances.csv", index=False, header=False)
\ No newline at end of file
diff --git a/subject_embeddings/subject_distances.csv b/subject_embeddings/subject_distances.csv
new file mode 100644
index 0000000..0cc0047
--- /dev/null
+++ b/subject_embeddings/subject_distances.csv
@@ -0,0 +1,8258 @@
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From 187061367c481473a9fd4d6950b6130938e7bb2f Mon Sep 17 00:00:00 2001
From: Tom Bland <tom_bland@hotmail.co.uk>
Date: Thu, 2 May 2024 15:04:32 +0100
Subject: [PATCH 4/4] Add columns and row indices

---
 subject_embeddings/categories_embeddings.csv |    42 +-
 subject_embeddings/courses_embeddings.csv    | 16516 ++++++++--------
 subject_embeddings/embeddings_pca.py         |     8 +-
 subject_embeddings/subject_distances.csv     | 16517 +++++++++--------
 4 files changed, 16542 insertions(+), 16541 deletions(-)

diff --git a/subject_embeddings/categories_embeddings.csv b/subject_embeddings/categories_embeddings.csv
index b1c74c4..4e77344 100644
--- a/subject_embeddings/categories_embeddings.csv
+++ b/subject_embeddings/categories_embeddings.csv
@@ -1,21 +1,21 @@
--1.102624857088277510e+00,1.087277348620861589e-01,-1.453716320997038569e-01,2.331908905439306956e+00,3.110166075988385348e+00,-1.511336040688659565e+00,-8.419510789831782249e-01,5.766068104903604441e-01
-1.710999740934283364e-01,-4.678233164612379813e-01,-9.911334127541090444e-01,-1.073902311129570020e+00,4.715857542057954044e-01,1.191132188464323061e-01,5.219442366152115403e-02,1.309360690721178999e+00
--2.216964148433744342e+00,-9.930127193888322878e-01,3.230067090814068287e+00,1.928923842090035923e-01,1.999482412505880491e-02,1.273167685897561574e+00,-1.834096447747598946e+00,-1.078312921534673618e+00
--1.815587103135677838e+00,-3.335193483739981035e-01,1.085889519446687546e+00,4.471715480845209756e-01,-1.137552510795586835e+00,-1.396446304995597076e+00,6.661874922502636354e-01,-2.680689227844960110e-01
--1.152247057766288663e+00,-1.469969848240400889e+00,-1.674861010743555534e+00,-1.673688352240982891e+00,-5.756325734195876231e-01,-1.441503892568808620e+00,-1.323235566829999543e+00,1.550583205767992911e+00
--7.506145691598330172e-02,3.294397914363187851e+00,-1.264748322726748864e+00,-1.193698310510338256e+00,8.680087082635309925e-02,6.062004911891506476e-01,-1.216460631791192348e+00,-3.186685533473340715e-01
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--9.758403297066742255e-01,-3.795348382062496695e-01,-6.159662265958005811e-01,7.650225192992722578e-02,-2.314654237618970212e-01,-1.555076947586041536e+00,-1.375601432739378682e-01,6.777580831439932174e-01
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--9.321256817753389434e-01,-1.355950068504587103e+00,-4.551791131968617177e-01,-1.111505181128880304e+00,1.176494483641926485e-02,-1.330821840537753653e+00,2.228150649228468339e-01,-4.478724350406492194e-01
--7.245324796274701384e-01,-3.066735372312326291e+00,1.713946270372918024e-01,8.913459160400766246e-01,9.601365540517988739e-01,8.806391309206716977e-01,7.703902652959434549e-01,-1.176418129942328639e+00
--1.857161792769589370e+00,-5.157806436590801624e-01,-1.269618999197237086e+00,-1.890085778089459559e-02,-8.525807101223067397e-01,-1.102408819093961406e-01,-7.759845830919985810e-01,-1.009692338656289268e+00
--1.447241588006904500e+00,-1.604361973985567458e+00,-1.980427033562061290e+00,1.942612548738449796e+00,-8.911779873809856367e-01,-5.856424614477113710e-01,1.579735828972647971e+00,-2.133677832832424404e+00
--1.444711757309036892e+00,-1.969394874419717389e+00,-6.932369162771260251e-01,1.387627194054733781e+00,1.993143850637171477e+00,2.212950404942337634e-01,2.159095361588847073e+00,-1.439118973958798176e+00
--2.596359793576871411e+00,-4.816530218385273177e-01,-6.885586532117428105e-01,3.090948964329947923e+00,1.314223395297684949e+00,-1.045008623607144305e+00,-9.667143850994849297e-01,-4.112179088962831380e-02
--1.979505507771094797e+00,-1.701509392441547863e+00,-7.321889442413572757e-01,1.736224630215547515e+00,1.546339761460899798e+00,-3.425894675225418795e-01,1.409454641240881267e+00,-1.366028359592752484e+00
--3.664440772260077472e-01,-1.208691552930737156e+00,-1.906987618867458378e-01,6.657876615999087644e-01,2.081915174420319037e+00,-1.101628287082944135e+00,1.364663425108151529e+00,4.466786806744942884e-01
--1.364472304632211141e+00,-1.707085968849548108e+00,-1.444835295098077177e+00,-1.146597300639766309e-01,-2.088945335823717997e+00,-3.092684354452530093e-01,5.829848968253086294e-01,-8.155417133369515792e-01
--1.454168605847728113e+00,-1.217288553899115611e+00,-1.878546930453958153e+00,1.635530106300563613e+00,-5.198391029734620306e-01,-1.059445813214171528e+00,1.884673514011591181e-02,-2.540777471622099437e+00
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diff --git a/subject_embeddings/courses_embeddings.csv b/subject_embeddings/courses_embeddings.csv
index 2daa74f..0c3a0e6 100644
--- a/subject_embeddings/courses_embeddings.csv
+++ b/subject_embeddings/courses_embeddings.csv
@@ -1,8258 +1,8258 @@
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diff --git a/subject_embeddings/embeddings_pca.py b/subject_embeddings/embeddings_pca.py
index f2f0bcd..7329f5e 100644
--- a/subject_embeddings/embeddings_pca.py
+++ b/subject_embeddings/embeddings_pca.py
@@ -6,12 +6,12 @@
 
 # Load the courses
 with open("../courses.csv", newline="") as f:
-    courses = [row for row in csv.reader(f)]
+    courses = [row[0] for row in csv.reader(f)]
 print(len(courses))
 
 # Load the categories
 with open("categories.csv", newline="") as f:
-    categories = [row for row in csv.reader(f)]
+    categories = [row[0] for row in csv.reader(f)]
 print(len(categories))
 
 # Embeddings
@@ -34,5 +34,5 @@
 
 # Distances
 subject_distances = cdist(embeddings_array, categories_embeddings_array)
-df = pd.DataFrame(subject_distances)
-df.to_csv("subject_distances.csv", index=False, header=False)
\ No newline at end of file
+df = pd.DataFrame(subject_distances, columns=categories, index=courses)
+df.to_csv("subject_distances.csv")
diff --git a/subject_embeddings/subject_distances.csv b/subject_embeddings/subject_distances.csv
index 0cc0047..9f48285 100644
--- a/subject_embeddings/subject_distances.csv
+++ b/subject_embeddings/subject_distances.csv
@@ -1,8258 +1,8259 @@
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