fix: Result output (#57)

Author: jjmachan

docs/quickstart.ipynb

@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "0b7179f7",
    "metadata": {},
    "outputs": [],
@@ -86,7 +86,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c4a622ce9f774cf7b79b46d9fcf05f69",
+       "model_id": "b445c1d1ed654516946e7c7f49850c0b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -178,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "id": "22eb6f97",
    "metadata": {},
    "outputs": [
@@ -187,19 +187,19 @@
      "output_type": "stream",
      "text": [
       "Loading cached processed dataset at /home/jjmachan/.cache/huggingface/datasets/explodinggradients___fiqa/ragas_eval/1.0.0/3dc7b639f5b4b16509a3299a2ceb78bf5fe98ee6b5fee25e7d5e4d290c88efb8/cache-f5ed219a49e8fb1f.arrow\n",
-      "100%|█████████████████████████████████████████████████████████████| 1/1 [00:18<00:00, 18.95s/it]\n",
-      "100%|█████████████████████████████████████████████████████████████| 2/2 [01:09<00:00, 34.97s/it]\n",
+      "100%|████████████████████████████████████████████████████████████| 1/1 [00:18<00:00, 18.28s/it]\n",
+      "100%|████████████████████████████████████████████████████████████| 2/2 [00:34<00:00, 17.38s/it]\n",
       "Loading cached processed dataset at /home/jjmachan/.cache/huggingface/datasets/explodinggradients___fiqa/ragas_eval/1.0.0/3dc7b639f5b4b16509a3299a2ceb78bf5fe98ee6b5fee25e7d5e4d290c88efb8/cache-2a93a2841bc4d586.arrow\n",
-      "100%|█████████████████████████████████████████████████████████████| 1/1 [00:07<00:00,  7.49s/it]\n"
+      "100%|████████████████████████████████████████████████████████████| 1/1 [00:07<00:00,  8.00s/it]\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "{'ragas_score': 0.860, 'context_relavency': 0.817, 'faithfulness': 0.892, 'answer_relevancy': 0.874}"
+       "{'ragas_score': 0.8629, 'context_relavency': 0.8167, 'faithfulness': 0.9028, 'answer_relevancy': 0.8738}"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -226,7 +226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "id": "8686bf53",
    "metadata": {},
    "outputs": [
@@ -345,14 +345,14 @@
        "4  [The time horizon for your 401K/IRA is essenti...              0.737   \n",
        "\n",
        "   faithfulness  answer_relevancy  \n",
-       "0         1.0             0.922  \n",
-       "1         1.0             0.923  \n",
-       "2         1.0             0.824  \n",
-       "3         1.0             0.830  \n",
-       "4         1.0             0.753  "
+       "0           1.0             0.922  \n",
+       "1           1.0             0.923  \n",
+       "2           1.0             0.824  \n",
+       "3           1.0             0.830  \n",
+       "4           1.0             0.753  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }

src/ragas/evaluation.py

@@ -132,6 +132,6 @@ def __repr__(self) -> str:
         score_strs = []
         if "ragas_score" in scores:
             ragas_score = scores.pop("ragas_score")
-            score_strs += f"'ragas_score': {ragas_score:0.4f}"
+            score_strs.append(f"'ragas_score': {ragas_score:0.4f}")
         score_strs.extend([f"'{k}': {v:0.4f}" for k, v in scores.items()])
         return "{" + ", ".join(score_strs) + "}"