Readability and code quality improvements (#959)

* Consistent dataset naming

* consistent section headers

ch07/01_main-chapter-code/ch07.ipynb

@@ -89,6 +89,7 @@
     "id": "8bbc68e9-75b3-41f1-ac2c-e071c3cd0813"
    },
    "source": [
+    " \n",
     "## 7.1 Introduction to instruction finetuning"
    ]
   },
@@ -133,6 +134,7 @@
     "id": "5384f0cf-ef3c-4436-a5fa-59bd25649f86"
    },
    "source": [
+    " \n",
     "## 7.2 Preparing a dataset for supervised instruction finetuning"
    ]
   },
@@ -499,6 +501,7 @@
     "id": "fcaaf606-f913-4445-8301-632ae10d387d"
    },
    "source": [
+    " \n",
     "## 7.3 Organizing data into training batches"
    ]
   },
@@ -1492,6 +1495,7 @@
     "id": "d6aad445-8f19-4238-b9bf-db80767fb91a"
    },
    "source": [
+    " \n",
     "## 7.5 Loading a pretrained LLM"
    ]
   },
@@ -1724,6 +1728,7 @@
     "id": "70d27b9d-a942-4cf5-b797-848c5f01e723"
    },
    "source": [
+    " \n",
     "## 7.6 Finetuning the LLM on instruction data"
    ]
   },
@@ -1995,6 +2000,7 @@
     "id": "87b79a47-13f9-4d1f-87b1-3339bafaf2a3"
    },
    "source": [
+    " \n",
     "## 7.7 Extracting and saving responses"
    ]
   },
@@ -2251,6 +2257,7 @@
     "id": "obgoGI89dgPm"
    },
    "source": [
+    " \n",
     "## 7.8 Evaluating the finetuned LLM"
    ]
   },
@@ -2847,6 +2854,7 @@
     "id": "tIbNMluCDjVM"
    },
    "source": [
+    " \n",
     "### 7.9.1 What's next\n",
     "\n",
     "- This marks the final chapter of this book\n",
@@ -2857,12 +2865,26 @@
     "- An optional step that is sometimes followed after instruction finetuning, as described in this chapter, is preference finetuning\n",
     "- Preference finetuning process can be particularly useful for customizing a model to better align with specific user preferences; see the [../04_preference-tuning-with-dpo](../04_preference-tuning-with-dpo) folder if you are interested in this\n",
     "\n",
-    "- This GitHub repository also contains a large selection of additional bonus material you may enjoy; for more information, please see the [Bonus Material](https://github.com/rasbt/LLMs-from-scratch?tab=readme-ov-file#bonus-material) section on this repository's README page\n",
-    "\n",
+    "- This GitHub repository also contains a large selection of additional bonus material you may enjoy; for more information, please see the [Bonus Material](https://github.com/rasbt/LLMs-from-scratch?tab=readme-ov-file#bonus-material) section on this repository's README page"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0e2b7bc2-2e8d-483f-a8f5-e2aa093db189",
+   "metadata": {},
+   "source": [
+    " \n",
     "### 7.9.2 Staying up to date in a fast-moving field\n",
     "\n",
-    "- No code in this section\n",
-    "\n",
+    "- No code in this section"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e3d8327d-afb5-4d24-88af-e253889251cf",
+   "metadata": {},
+   "source": [
+    " \n",
     "### 7.9.3 Final words\n",
     "\n",
     "- I hope you enjoyed this journey of implementing an LLM from the ground up and coding the pretraining and finetuning functions\n",