Add code

jsonlify.py

@@ -0,0 +1,12 @@
+# Script used to put files into jsonl format (original downloaded from web archive link, in readme)
+import glob
+
+for folder in glob.glob("*/"):
+    a = []
+    for file in glob.glob(f"./{folder}*.json"):
+        contents = open(file, "r").read()
+        a.append(contents)
+
+    with open(f"{folder[:-1]}.jsonl", "w+") as f:
+        f.write("\n".join(a))
+    a.clear()

process.ipynb

@@ -0,0 +1,95 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_dev = pd.read_json(\"EN_dev.jsonl\", lines=True)\n",
+    "_test = pd.read_json(\"EN_test.jsonl\", lines=True)\n",
+    "_train = pd.read_json(\"EN_train.jsonl\", lines=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def process(df):\n",
+    "    df = df.copy()\n",
+    "    df.columns = df.columns.str.lower()\n",
+    "    df[\"violated\"] = df.violated_articles.str.len() != 0\n",
+    "    return df\n",
+    "\n",
+    "dev = process(_dev)\n",
+    "test = process(_test)\n",
+    "train = process(_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = {k: list(v) for k, v in train.groupby(\"violated\").indices.items()}\n",
+    "dist = dict(dev.violated.value_counts().items())\n",
+    "d_train = {k: v[0:dist[k]] for k, v in d.items()}\n",
+    "d_remaining = {k: v[dist[k]:] for k, v in d.items()}\n",
+    "\n",
+    "new_rows = []\n",
+    "for label in dev[\"violated\"]:\n",
+    "    new_rows.append(train.iloc[d_train[label].pop()])\n",
+    "\n",
+    "new_train = pd.concat([pd.DataFrame(new_rows), pd.DataFrame(train.iloc[i] for l in d_remaining.values() for i in l).sample(frac=1, random_state=42)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_train.to_json(\"train.jsonl\", lines=True, orient=\"records\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.5 64-bit",
+   "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": "3.10.5"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}