docs: add support for JSON dataset

docs/dataset/basics.mdx

@@ -42,35 +42,26 @@ The LLM prompt can use this value in the prompt through the `{{user_message}}` p
 }
 ```
 
-## Import from JSONL file
-
-Specify a path to the JSONL file. Each line of the file should be a valid JSON object.
-On import, the keys of this JSON will be converted into inputs of the sample.
-
-If using relative paths, the path is treated relative to the configuration file.
+## Import from Google Sheets
+Specify a path to the Google sheet in the `empiricalrc.json` file.
 
-```json
+```json empiricalrc.json
 "dataset": {
-  "path": "HumanEval.jsonl"
+  "path": "https://docs.google.com/spreadsheets/d/1AsMekKCG74m1PbBZQN_sEJgaW0b9Xarg4ms4mhG3i5k"
 }
 ```
+Refer to our [chatbot example](https://github.com/empirical-run/empirical/tree/main/examples/chatbot) which uses this dataset.
 
-## Import from CSV
-Specify a path to the CSV file in the `empiricalrc.json`. If using relative paths, the path is treated relative to the configuration file.
+The sheet should contain column headers.
+The rows of the file are converted into dataset inputs with column header names as the name of the parameter. For example:
 
-```json
-"dataset": {
-  "path": "foo.csv"
-}
+```md
+| name | age |
+| ---- | --- |
+| John | 25  |
 ```
 
-The CSV file should contain headers.
-The lines of the file are converted into dataset inputs with column header names as the name of the parameter. For example:
-```csv foo.csv
-name,age
-John,25
-```
-The above CSV gets converted into the following dataset object: 
+The above table in the sheet gets converted into the following dataset object: 
 ```json
 "dataset": {
   "samples": [
@@ -84,33 +75,58 @@ The above CSV gets converted into the following dataset object:
 }
 ```
 
-The above conversion enables you to create a prompt with placeholders. For example: 
-```json
+The above conversion enables you to create prompt with placeholders. For example: 
+```json empiricalrc.json
 {
   "prompt": "Your name is {{name}} and you are a helpful assistant..."
 }
 ```
 
-## Import from Google Sheets
-Specify a path to the Google sheet in the `empiricalrc.json` file.
+> If you wish to extract data from a specific sheet of Google Sheet, make sure to navigate to the desired sheet and copy the browser URL into `empiricalrc.json`.
 
-```json empiricalrc.json
+## Import from JSONL file
+
+Specify a path to the JSONL file. Each line of the file should be a valid JSON object.
+On import, the keys of this JSON will be converted into inputs of the sample.
+
+If using relative paths, the path is treated relative to the configuration file.
+
+```json
 "dataset": {
-  "path": "https://docs.google.com/spreadsheets/d/1AsMekKCG74m1PbBZQN_sEJgaW0b9Xarg4ms4mhG3i5k"
+  "path": "HumanEval.jsonl"
 }
 ```
-Refer to our [chatbot example](https://github.com/empirical-run/empirical/tree/main/examples/chatbot) which uses this dataset.
 
-The sheet should contain column headers.
-The rows of the file are converted into dataset inputs with column header names as the name of the parameter. For example:
+## Import from JSON
 
-```md
-| name | age |
-| ---- | --- |
-| John | 25  |
+Specify a path to the JSON file. The file should contain array of objects.
+On import, the object keys will be converted into inputs of the sample.
+
+If using relative paths, the path is treated relative to the configuration file.
+
+```json
+"dataset": {
+  "path": "dataset.json"
+}
 ```
+Refer to [tool call example](https://github.com/empirical-run/empirical/tree/main/examples/tool_calls) which uses this dataset.
+
+## Import from CSV
+Specify a path to the CSV file in the `empiricalrc.json`. If using relative paths, the path is treated relative to the configuration file.
 
-The above table in the sheet gets converted into the following dataset object: 
+```json
+"dataset": {
+  "path": "foo.csv"
+}
+```
+
+The CSV file should contain headers.
+The lines of the file are converted into dataset inputs with column header names as the name of the parameter. For example:
+```csv foo.csv
+name,age
+John,25
+```
+The above CSV gets converted into the following dataset object: 
 ```json
 "dataset": {
   "samples": [
@@ -124,27 +140,14 @@ The above table in the sheet gets converted into the following dataset object:
 }
 ```
 
-The above conversion enables you to create prompt with placeholders. For example: 
-```json empiricalrc.json
+The above conversion enables you to create a prompt with placeholders. For example: 
+```json
 {
   "prompt": "Your name is {{name}} and you are a helpful assistant..."
 }
 ```
 
 
-> If you wish to extract data from a specific sheet of Google Sheet, make sure to navigate to the desired sheet and copy the browser URL into `empiricalrc.json`.
-
-## Import Empirical JSON format
-
-If your dataset follows the Empirical JSON format, you can import that from
-a file or HTTP endpoint.
-
-```json
-"dataset": {
-  "path": "https://assets.empirical.run/datasets/json/spider-tiny.json"
-}
-```
-