Add new ordering

data/dev.jsonl

@@ -1,3 +1,3 @@
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-oid sha256:83f05c94be1150625730f4ee9a6b901c8f61b766497a23e18fc36ae8099141fb
-size 21816062
+oid sha256:b4f71bd11bb0a27021dcd88f2eca9f0400c42f435ec291f7895b4627b63b29f2
+size 21816052

data/train.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f273707cb2ec891fb06a349a36cdbd9e1591208ea19de6146653d1052c89e1e5
-size 105354914
+oid sha256:171f91a4c82b362878d06fecc5c8d7a15aa1009b0d84c4427753d8458b7d399e
+size 105354910

data_anon/train.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:209755f6dfee89849455b89918babee0e33618c40e65a99e9a8cbd6164394dbd
+oid sha256:0b735134e63256e822ef0115735c59ccfaefe44488ffbfac8f25d80a3385073f
 size 98259925

process.ipynb

@@ -11,18 +11,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 2,
    "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)"
+    "_dev = pd.read_json(\"EN_dev_Anon.jsonl\", lines=True)\n",
+    "_test = pd.read_json(\"EN_test_Anon.jsonl\", lines=True)\n",
+    "_train = pd.read_json(\"EN_train_Anon.jsonl\", lines=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,7 +49,8 @@
     "d_remaining = {k: v[dist[k]:] for k, v in d.items()}\n",
     "\n",
     "new_rows = []\n",
-    "for label in dev[\"violated\"]:\n",
+    "for i in range(len(dev[\"violated\"])):\n",
+    "    label = i % 2 == 0\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)])"
@@ -57,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -72,14 +73,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "train = pd.read_json(\"data_anon/train.jsonl\", lines=True, orient=\"records\")\n",
-    "test = pd.read_json(\"data_anon/test.jsonl\", lines=True, orient=\"records\")\n",
-    "dev = pd.read_json(\"data_anon/dev.jsonl\", lines=True, orient=\"records\")"
+    "train = pd.read_json(\"data/train.jsonl\", lines=True, orient=\"records\")\n",
+    "test = pd.read_json(\"data/test.jsonl\", lines=True, orient=\"records\")\n",
+    "dev = pd.read_json(\"data/dev.jsonl\", lines=True, orient=\"records\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,13 +94,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "train.to_json(\"train.jsonl\", lines=True, orient=\"records\")\n",
-    "test.to_json(\"test.jsonl\", lines=True, orient=\"records\")\n",
-    "dev.to_json(\"dev.jsonl\", lines=True, orient=\"records\")"
+    "train.to_json(\"data/train.jsonl\", lines=True, orient=\"records\")\n",
+    "test.to_json(\"data/test.jsonl\", lines=True, orient=\"records\")\n",
+    "dev.to_json(\"data/dev.jsonl\", lines=True, orient=\"records\")"
    ]
   }
  ],