Docs/political nb and website

docs/pages/docs/one_liner.md

@@ -364,6 +364,33 @@ h  =  Harness(task="disinformation-test",
               model={"model": "j2-jumbo-instruct", "hub":"ai21"},
               data = {"data_source": "Narrative-Wedging"})
 
+# Generate, run and get a report on your test cases
+h.generate().run().report()
+{% endhighlight %}
+      </div>
+    </div>
+  </div>
+</div>
+
+### One Liner - Political-Test
+
+Try out the LangTest library on the following default model for Political Test.
+
+<div id="one_liner_text_tab" class="tabs-wrapper h3-box">
+  <div class="tabs-body">
+    <div class="tabs-item">
+      <div class="highlight-box">
+        {% highlight python %}
+!pip install langtest[openai]
+
+import os
+os.environ["OPENAI_API_KEY"] = <ADD OPEN-AI-KEY>
+
+from langtest import Harness
+
+# Create a Harness object
+h = Harness(task="political", model={'model': "text-davinci-003", "hub": "openai"})
+
 # Generate, run and get a report on your test cases
 h.generate().run().report()
 {% endhighlight %}

docs/pages/docs/task.md

@@ -14,17 +14,18 @@ The `Harness` `task` parameter accepts different tasks.
 ### Supported Tasks
 
 {:.table2}
-| Task  | Description | Supported Model Categories |
-| - | - | - |
-|**`ner`** | Named Entity Recognition | All NER models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`text-classification`** | Text Classification | All text classification models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`question-answering`** | Question Answering | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`summarization`** | Summarization | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`toxicity`** | Toxicity | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`translation`** | Translation | Translation models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`clinical-tests`** | Clinical Tests | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`security`** | Security Tests | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
-|**`disinformation-test`** | Disinformation Test | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)
+| Task                      | Description              | Supported Model Categories                                                                                      |
+| ------------------------- | ------------------------ | --------------------------------------------------------------------------------------------------------------- |
+| **`ner`**                 | Named Entity Recognition | All NER models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)                 |
+| **`text-classification`** | Text Classification      | All text classification models available through the different [hubs](https://langtest.org/docs/pages/docs/hub) |
+| **`question-answering`**  | Question Answering       | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)          |
+| **`summarization`**       | Summarization            | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)          |
+| **`toxicity`**            | Toxicity                 | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)          |
+| **`translation`**         | Translation              | Translation models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)             |
+| **`clinical-tests`**      | Clinical Tests           | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)          |
+| **`security`**            | Security Tests           | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)          |
+| **`disinformation-test`** | Disinformation Test      | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)          |
+| **`political`**           | Political Test           | Large Language Models available through the different [hubs](https://langtest.org/docs/pages/docs/hub)          |
 
 </div><div class="h3-box" markdown="1">
 

docs/pages/tests/political.md

@@ -0,0 +1,27 @@
+---
+layout: docs
+header: true
+seotitle: Political Tests | LangTest | John Snow Labs
+title: Political
+key: tests
+permalink: /docs/pages/tests/political
+aside:
+    toc: true
+sidebar:
+    nav: tests
+show_edit_on_github: true
+nav_key: tests
+modify_date: "2019-05-16"
+---
+
+<div class="main-docs" markdown="1">
+
+{% assign parent_path = "pages/tests/political" %}
+{% for file in site.static_files %}
+    {% if file.path contains parent_path %}
+        {% assign file_name = file.path | remove:  parent_path | remove:  "/" | prepend: "political/" %}
+        {% include_relative {{ file_name }} %}        
+    {% endif %}
+{% endfor %}
+
+</div>

docs/pages/tests/political/political_compass.md

@@ -0,0 +1,22 @@
+
+<div class="h3-box" markdown="1">
+
+## Political Compass
+
+The Political Compass Test is a popular tool designed to help individuals assess their political beliefs and ideologies by placing them on a two-dimensional grid. The aim of the Political Compass Test is to provide a more nuanced understanding of a person's political views beyond the traditional left-right spectrum, which is often oversimplified and may not capture the full range of political opinions and beliefs.
+The test presents a grid with two axes, typically labeled as follows:
+Economic Axis: This axis assesses a person's economic and fiscal views, ranging from left (collectivism, more government intervention in the economy) to right (individualism, less government intervention, free-market capitalism).
+Social Axis: This axis evaluates a person's social and cultural views, spanning from authoritarian (support for strong government control and traditional values) to libertarian (advocating personal freedoms, civil liberties, and social progressivism).
+**alias_name:** `political_compass`
+
+</div><div class="h3-box" markdown="1">
+
+#### Config
+```yaml
+political_compass:
+```
+
+</div><div class="h3-box" markdown="1">
+
+
+</div>

docs/pages/tutorials/tutorials.md

@@ -53,9 +53,9 @@ The following table gives an overview of the different tutorial notebooks. We ha
 | NQ open                             | OpenAI                            | Question-Answering                | [![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/NQ_open_dataset.ipynb)                      |
 | BoolQ                               | OpenAI                            | Question-Answering                | [![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/BoolQ_dataset.ipynb)                        |
 | XSum                                | OpenAI                            | Summarization                     | [![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/XSum_dataset.ipynb)                         |
-| LogiQA           | 	OpenAI                            | Question-Answering                          | [![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/LogiQA_dataset.ipynb)    |
-| ASDiv           | 	OpenAI                            | Question-Answering                          | [![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/ASDiv_dataset.ipynb)    |
-| BigBench           | 	OpenAI                            | Question-Answering                          | [![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/Bigbench_dataset.ipynb)                    |
+| LogiQA                              | OpenAI                            | Question-Answering                | [![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/LogiQA_dataset.ipynb)                       |
+| ASDiv                               | OpenAI                            | Question-Answering                | [![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/ASDiv_dataset.ipynb)                        |
+| BigBench                            | OpenAI                            | Question-Answering                | [![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/Bigbench_dataset.ipynb)                     |
 | HuggingFaceDataset-Support          | Hugging Face/OpenAI               | Text-Classification/Summarization | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/HuggingFace_Dataset_Notebook.ipynb)                                    |
 | Augmentation-Control                | /John Snow Labs                   | NER                               | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/Augmentation_Control_Notebook.ipynb)                                   |
 | Comparing Models                    | Hugging Face/John Snow Labs/Spacy | NER/Text-Classification           | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/Comparing_Models_Notebook.ipynb)                                       |
@@ -66,7 +66,8 @@ The following table gives an overview of the different tutorial notebooks. We ha
 | Templatic-Augmentation              | John Snow Labs                    | NER                               | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/Templatic_Augmentation_Notebook.ipynb)                                 |
 | Clinical-Tests-Notebook             | OpenAI                            | Clinical-Tests                    | [![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/Clinical_Tests.ipynb)                                         |
 | Prompt-Injection-Notebook           | OpenAI                            | Security                          | [![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/Prompt_Injections_Tests.ipynb)                                |
-| Disinformation-Test-Notebook           | 	AI21                            | Disinformation-Test                          | [![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/Disinformation_Test.ipynb)                                |
+| Disinformation-Test-Notebook        | AI21                              | Disinformation-Test               | [![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/Disinformation_Test.ipynb)                                    |
+| Political Test                      | OpenAI                            | Political                         | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/test-specific-notebooks/Political_Demo.ipynb)                               |
 
 
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