Merge pull request #832 from JohnSnowLabs/chore/website_nb_updates

Chore/website nb updates

Author: chakravarthik27

README.md

@@ -95,6 +95,8 @@ Langtest comes with different datasets to test your models, covering a wide rang
 | [**SIQA**](https://arxiv.org/abs/1904.09728)                 | Evaluate your model's performance by assessing its accuracy in understanding social situations, inferring the implications of actions, and comparing human-curated and machine-generated answers.  | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/dataset-notebooks/SIQA_dataset.ipynb)               |
 | [**PIQA**](https://arxiv.org/abs/1911.11641)                          | Evaluate your model's performance on the PIQA dataset, which tests its ability to reason about everyday physical situations through multiple-choice questions, contributing to AI's understanding of real-world interactions. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/dataset-notebooks/PIQA_dataset.ipynb)  
 | [**MultiLexSum**](https://arxiv.org/abs/2206.10883) | Evaluate your model's ability to generate concise and informative summaries for legal case contexts from the Multi-LexSum dataset, with a focus on comprehensively capturing essential themes and key details within the legal narratives. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/dataset-notebooks/MultiLexSum_dataset.ipynb) |
+| [**FIQA**](https://paperswithcode.com/dataset/fiqa-1) | Evaluate your model's performance on the FiQA dataset, a comprehensive and specialized resource designed for finance-related question-answering tasks. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/dataset-notebooks/Fiqa_dataset.ipynb) |
+
 
 > **Note**
 > For usage and documentation, head over to [langtest.org](https://langtest.org/docs/pages/docs/data#question-answering)

demo/tutorials/llm_notebooks/AI21_QA_Summarization_Testing_Notebook.ipynb

@@ -54,7 +54,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install \"langtest[evaluate,ai21,langchain,transformers]\" "
+        "!pip install \"langtest[evaluate,ai21,transformers]\" "
       ]
     },
     {

demo/tutorials/llm_notebooks/Clinical_Tests.ipynb

@@ -59,8 +59,6 @@
       "source": [
         "import os\n",
         "\n",
-        "import openai\n",
-        "\n",
         "os.environ[\"OPENAI_API_KEY\"] = <ADD OPEN-AI-KEY>\n"
       ]
     },

demo/tutorials/llm_notebooks/Cohere_QA_Summarization_Testing_Notebook.ipynb

@@ -48,7 +48,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "!pip install \"langtest[evaluate,cohere,langchain,transformers]\" "
+        "!pip install \"langtest[evaluate,cohere,transformers]\" "
       ]
     },
     {

demo/tutorials/llm_notebooks/Disinformation_Test.ipynb

@@ -36,7 +36,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install \"langtest[ai21,langchain,transformers]\" "
+    "!pip install \"langtest[ai21,transformers]\" "
    ]
   },
   {

demo/tutorials/llm_notebooks/Factuality_Test.ipynb

@@ -173,8 +173,6 @@
    "source": [
     "import os\n",
     "\n",
-    "import openai\n",
-    "\n",
     "os.environ[\"OPENAI_API_KEY\"] = \"<YOUR_API_KEY>\""
    ]
   },
@@ -1391,7 +1389,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.9.6"
   },
   "orig_nbformat": 4
  },

demo/tutorials/llm_notebooks/Legal_Support.ipynb

@@ -59,9 +59,7 @@
       "source": [
         "import os\n",
         "\n",
-        "import openai\n",
-        "\n",
-        "os.environ[\"OPENAI_API_KEY\"] = <ADD OPEN-AI-KEY>"
+        "os.environ[\"OPENAI_API_KEY\"] = \"<ADD OPEN-AI-KEY>\""
       ]
     },
     {

demo/tutorials/llm_notebooks/OpenAI_QA_Summarization_Testing_Notebook.ipynb

@@ -134,8 +134,6 @@
       "source": [
         "import os\n",
         "\n",
-        "import openai\n",
-        "\n",
         "os.environ[\"OPENAI_API_KEY\"] = \"<YOUR_API_KEY>\""
       ]
     },

demo/tutorials/llm_notebooks/Sensitivity_Test.ipynb

@@ -36,14 +36,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install \"langtest[evaluate,openai,transformers]\" "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Tiktoken is a fast BPE tokeniser for use with OpenAI's models."
+    "!pip install \"langtest[evaluate,openai,transformers]\""
    ]
   },
   {
@@ -54,8 +47,6 @@
    "source": [
     "import os\n",
     "\n",
-    "import openai\n",
-    "\n",
     "os.environ[\"OPENAI_API_KEY\"] = \"<YOUR_API_KEY>\""
    ]
   },

demo/tutorials/llm_notebooks/Sycophancy_test.ipynb

@@ -161,7 +161,6 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import openai\n",
     "os.environ[\"OPENAI_API_KEY\"] = \"<YOUR_API_KEY>\""
    ]
   },