Update README.md

README.md

@@ -32,11 +32,28 @@ pretty_name: PEFT Unit Test Generation Experiments
 size_categories:
 - n<1K
 ---
-# Dataset Card for Dataset Name
+# PEFT Unit Test Generation Experiments
 
-<!-- Provide a quick summary of the dataset. -->
+## Dataset description
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+The **PEFT Unit Test Generation Experiments** dataset contains metadata and details about a set of trained models used for generating unit tests with parameter-efficient fine-tuning (PEFT) methods. This dataset includes models from multiple namespaces and various sizes, trained with different tuning methods to provide a comprehensive resource for unit test generation research.
+
+## Dataset Structure
+
+### Data Fields
+
+Each example in the dataset corresponds to a specific trained model variant and includes the following features:
+
+| Feature Name      | Description                                                                                         |
+|-------------------|-----------------------------------------------------------------------------------------------------|
+| `model_type`      | The type or architecture of the base model (e.g., codegen, starcoder).                              |
+| `namespace`       | The organization or group that created or published the base model (e.g., Salesforce, meta-llama). |
+| `model_name`      | The specific name or identifier of the model.                                                      |
+| `training_method` | The parameter-efficient fine-tuning method used for training (e.g., full fine-tuning, LoRA, IA³).  |
+| `model_size`      | The size of the model, typically measured in number of parameters (e.g., 350M, 7B).                 |
+| `trainable_params`| The number of trainable parameters for the specific tuning method applied, given the hyperparameters in [Training Hyperparameters](#training-hyperparameters) |
+| `url`             | A direct link to the model weights or relevant resource.                                           |
+| `doi`             | The digital object identifier associated with the model.                   |
 
 ## Dataset Details
 
@@ -138,7 +155,7 @@ This dataset card aims to be a base template for new datasets. It has been gener
 </table>
 
 #### Model-specific Hyperparameters
-<table >
+<table>
   <thead>
     <tr>
       <th>Hyperparameter</th>
@@ -149,60 +166,34 @@ This dataset card aims to be a base template for new datasets. It has been gener
   </thead>
   <tbody>
     <tr>
-      <td style="vertical-align: middle;">Targeted attention modules</td>
-      <td style="vertical-align: middle;">LoRA, (IA)<sup>3</sup></td>
-      <td>
-        codegen-350M-multi<br>
-        Salesforce/codegen2-1B_P<br>
-        Salesforce/codegen2-3_7B_P<br>
-        Salesforce/codegen2-7B_P<br>
-        Salesforce/codegen2-16B_P<br>
-        meta-llama/CodeLlama-7b-hf<br>
-        bigcode/starcoderbase<br>
-        bigcode/starcoder2-3b<br>
-        bigcode/starcoder2-7b<br>
-        bigcode/starcoder2-15b
-      </td>
-      <td>
-        qkv_proj<br>
-        qkv_proj<br>
-        qkv_proj<br>
-        qkv_proj<br>
-        qkv_proj<br>
-        q_proj, v_proj<br>
-        c_attn<br>
-        q_proj, v_proj<br>
-        q_proj, v_proj<br>
-        q_proj, v_proj
-      </td>
-    </tr>
-    <tr>
-      <td style="vertical-align: middle;">Targeted feedforward modules</td>
-      <td style="vertical-align: middle;">(IA)<sup>3</sup></td>
-      <td>
-        codegen-350M-multi<br>
-        Salesforce/codegen2-1B_P<br>
-        Salesforce/codegen2-3_7B_P<br>
-        Salesforce/codegen2-7B_P<br>
-        Salesforce/codegen2-16B_P<br>
-        meta-llama/CodeLlama-7b-hf<br>
-        bigcode/starcoderbase<br>
-        bigcode/starcoder2-3b<br>
-        bigcode/starcoder2-7b<br>
-        bigcode/starcoder2-15b
-      </td>
-      <td>
-        fc_out<br>
-        fc_out<br>
-        fc_out<br>
-        fc_out<br>
-        fc_out<br>
-        down_proj<br>
-        mlp.c_proj<br>
-        q_proj, c_proj<br>
-        q_proj, c_proj<br>
-        q_proj, c_proj
-      </td>
-    </tr>
+      <td rowspan="10" style="vertical-align: middle;">Targeted attention modules</td>
+      <td rowspan="10" style="vertical-align: middle;">LoRA, (IA)<sup>3</sup></td>
+      <td>codegen-350M-multi</td>
+      <td>qkv_proj</td>
+    </tr>
+    <tr><td>Salesforce/codegen2-1B_P</td><td>qkv_proj</td></tr>
+    <tr><td>Salesforce/codegen2-3_7B_P</td><td>qkv_proj</td></tr>
+    <tr><td>Salesforce/codegen2-7B_P</td><td>qkv_proj</td></tr>
+    <tr><td>Salesforce/codegen2-16B_P</td><td>qkv_proj</td></tr>
+    <tr><td>meta-llama/CodeLlama-7b-hf</td><td>q_proj, v_proj</td></tr>
+    <tr><td>bigcode/starcoderbase</td><td>c_attn</td></tr>
+    <tr><td>bigcode/starcoder2-3b</td><td>q_proj, v_proj</td></tr>
+    <tr><td>bigcode/starcoder2-7b</td><td>q_proj, v_proj</td></tr>
+    <tr><td>bigcode/starcoder2-15b</td><td>q_proj, v_proj</td></tr>
+    <tr>
+      <td rowspan="10" style="vertical-align: middle;">Targeted feedforward modules</td>
+      <td rowspan="10" style="vertical-align: middle;">(IA)<sup>3</sup></td>
+      <td>codegen-350M-multi</td>
+      <td>fc_out</td>
+    </tr>
+    <tr><td>Salesforce/codegen2-1B_P</td><td>fc_out</td></tr>
+    <tr><td>Salesforce/codegen2-3_7B_P</td><td>fc_out</td></tr>
+    <tr><td>Salesforce/codegen2-7B_P</td><td>fc_out</td></tr>
+    <tr><td>Salesforce/codegen2-16B_P</td><td>fc_out</td></tr>
+    <tr><td>meta-llama/CodeLlama-7b-hf</td><td>down_proj</td></tr>
+    <tr><td>bigcode/starcoderbase</td><td>mlp.c_proj</td></tr>
+    <tr><td>bigcode/starcoder2-3b</td><td>q_proj, c_proj</td></tr>
+    <tr><td>bigcode/starcoder2-7b</td><td>q_proj, c_proj</td></tr>
+    <tr><td>bigcode/starcoder2-15b</td><td>q_proj, c_proj</td></tr>
   </tbody>
 </table>