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README.md

@@ -4,78 +4,6 @@ tags:
 - rlfh
 - argilla
 - human-feedback
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-    id: field
-  - name: sentiment
-    list:
-    - name: user_id
-      dtype: string
-      id: question
-    - name: value
-      dtype: string
-      id: suggestion
-    - name: status
-      dtype: string
-      id: question
-  - name: sentiment-suggestion
-    dtype: string
-    id: suggestion
-  - name: sentiment-suggestion-metadata
-    struct:
-    - name: type
-      dtype: string
-      id: suggestion-metadata
-    - name: score
-      dtype: float32
-      id: suggestion-metadata
-    - name: agent
-      dtype: string
-      id: suggestion-metadata
-  - name: mixed-emotion
-    list:
-    - name: user_id
-      dtype: string
-      id: question
-    - name: value
-      sequence: string
-      id: suggestion
-    - name: status
-      dtype: string
-      id: question
-  - name: mixed-emotion-suggestion
-    sequence: string
-    id: suggestion
-  - name: mixed-emotion-suggestion-metadata
-    struct:
-    - name: type
-      dtype: string
-      id: suggestion-metadata
-    - name: score
-      dtype: float32
-      id: suggestion-metadata
-    - name: agent
-      dtype: string
-      id: suggestion-metadata
-  - name: external_id
-    dtype: string
-    id: external_id
-  - name: metadata
-    dtype: string
-    id: metadata
-  splits:
-  - name: train
-    num_bytes: 216
-    num_examples: 1
-  download_size: 10454
-  dataset_size: 216
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
 ---
 
 # Dataset Card for emotion-custom
@@ -124,7 +52,7 @@ ds = load_dataset("davidberenstein1957/emotion-custom")
 
 ### Supported Tasks and Leaderboards
 
-This dataset can contain [multiple fields, questions and responses](https://docs.argilla.io/en/latest/guides/llms/conceptual_guides/data_model.html) so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the [Dataset Structure section](#dataset-structure).
+This dataset can contain [multiple fields, questions and responses](https://docs.argilla.io/en/latest/conceptual_guides/data_model.html#feedback-dataset) so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the [Dataset Structure section](#dataset-structure).
 
 There are no leaderboards associated with this dataset.
 
@@ -136,26 +64,34 @@ There are no leaderboards associated with this dataset.
 
 ### Data in Argilla
 
-The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, and **guidelines**.
+The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
 
-The **fields** are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
+The **fields** are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.
 
 | Field Name | Title | Type | Required | Markdown |
 | ---------- | ----- | ---- | -------- | -------- |
-| text | Text | TextField | True | False |
+| text | Text | text | True | False |
 
 
-The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.
+The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
 
 | Question Name | Title | Type | Required | Description | Values/Labels |
 | ------------- | ----- | ---- | -------- | ----------- | ------------- |
-| sentiment | Sentiment | LabelQuestion | True | N/A | ['positive', 'neutral', 'negative'] |
-| mixed-emotion | Mixed-emotion | MultiLabelQuestion | True | N/A | ['joy', 'anger', 'sadness', 'fear', 'surprise', 'love'] |
+| sentiment | Sentiment | label_selection | True | N/A | ['positive', 'neutral', 'negative'] |
+| mixed-emotion | Mixed-emotion | multi_label_selection | True | N/A | ['joy', 'anger', 'sadness', 'fear', 'surprise', 'love'] |
 
 
-**✨ NEW** Additionally, we also have **suggestions**, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.
+The **suggestions** are human or machine generated recommendations for each question to assist the annotator during the annotation process, so those are always linked to the existing questions, and named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above, but the column name is appended with "-suggestion" and the metadata is appended with "-suggestion-metadata".
 
-Finally, the **guidelines** are just a plain string that can be used to provide instructions to the annotators. Find those in the [annotation guidelines](#annotation-guidelines) section.
+The **metadata** is a dictionary that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the `metadata_properties` defined in the dataset configuration file in `argilla.yaml`.
+
+
+
+| Metadata Name | Title | Type | Values | Visible for Annotators |
+| ------------- | ----- | ---- | ------ | ---------------------- |
+
+
+The **guidelines**, are optional as well, and are just a plain string that can be used to provide instructions to the annotators. Find those in the [annotation guidelines](#annotation-guidelines) section.
 
 ### Data Instances
 
@@ -163,6 +99,7 @@ An example of a dataset instance in Argilla looks as follows:
 
 ```json
 {
+    "external_id": null,
     "fields": {
         "text": "i didnt feel humiliated"
     },
@@ -170,12 +107,11 @@ An example of a dataset instance in Argilla looks as follows:
     "responses": [
         {
             "status": "submitted",
-            "user_id": "96a207d3-b1a9-44d1-b72a-1afdab457b26",
+            "user_id": "f2c5232d-10c8-4468-8044-6b489e9db9b6",
             "values": {
                 "mixed-emotion": {
                     "value": [
-                        "anger",
-                        "sadness"
+                        "fear"
                     ]
                 },
                 "sentiment": {
@@ -184,7 +120,8 @@ An example of a dataset instance in Argilla looks as follows:
             }
         }
     ],
-    "suggestions": []
+    "suggestions": [],
+    "vectors": {}
 }
 ```
 
@@ -197,10 +134,9 @@ While the same record in HuggingFace `datasets` looks as follows:
     "mixed-emotion": [
         {
             "status": "submitted",
-            "user_id": "96a207d3-b1a9-44d1-b72a-1afdab457b26",
+            "user_id": "f2c5232d-10c8-4468-8044-6b489e9db9b6",
             "value": [
-                "anger",
-                "sadness"
+                "fear"
             ]
         }
     ],
@@ -213,7 +149,7 @@ While the same record in HuggingFace `datasets` looks as follows:
     "sentiment": [
         {
             "status": "submitted",
-            "user_id": "96a207d3-b1a9-44d1-b72a-1afdab457b26",
+            "user_id": "f2c5232d-10c8-4468-8044-6b489e9db9b6",
             "value": "positive"
         }
     ],
@@ -231,22 +167,25 @@ While the same record in HuggingFace `datasets` looks as follows:
 
 Among the dataset fields, we differentiate between the following:
 
-* **Fields:** These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
+* **Fields:** These are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.
     
-    * **text** is of type `TextField`.
+    * **text** is of type `text`.
 
 * **Questions:** These are the questions that will be asked to the annotators. They can be of different types, such as `RatingQuestion`, `TextQuestion`, `LabelQuestion`, `MultiLabelQuestion`, and `RankingQuestion`.
     
-    * **sentiment** is of type `LabelQuestion` with the following allowed values ['positive', 'neutral', 'negative'].
-    * **mixed-emotion** is of type `MultiLabelQuestion` with the following allowed values ['joy', 'anger', 'sadness', 'fear', 'surprise', 'love'].
+    * **sentiment** is of type `label_selection` with the following allowed values ['positive', 'neutral', 'negative'].
+    * **mixed-emotion** is of type `multi_label_selection` with the following allowed values ['joy', 'anger', 'sadness', 'fear', 'surprise', 'love'].
 
-* **✨ NEW** **Suggestions:** As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
+* **Suggestions:** As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
     
     * (optional) **sentiment-suggestion** is of type `label_selection` with the following allowed values ['positive', 'neutral', 'negative'].
     * (optional) **mixed-emotion-suggestion** is of type `multi_label_selection` with the following allowed values ['joy', 'anger', 'sadness', 'fear', 'surprise', 'love'].
 
-Additionally, we also have one more field which is optional and is the following:
 
+
+Additionally, we also have two more fields that are optional and are the following:
+
+* **metadata:** This is an optional field that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the `metadata_properties` defined in the dataset configuration file in `argilla.yaml`.
 * **external_id:** This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
 
 ### Data Splits