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.argilla/dataset.json

@@ -1,16 +1,36 @@
 {
-  "id": "084e670d-4e20-43d3-885f-d48bbbee400b",
+  "id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
   "name": "sentiment_challenge",
-  "guidelines": "Label each movie review as 'positive' or 'negative' based on sentiment.",
-  "allow_extra_metadata": false,
+  "guidelines": null,
+  "allow_extra_metadata": true,
   "status": "ready",
   "distribution": {
     "strategy": "overlap",
     "min_submitted": 1
   },
-  "metadata": null,
+  "metadata": {
+    "repoId": "Ranasalh/sentiment_challenge",
+    "subset": "default",
+    "split": "train",
+    "mapping": {
+      "fields": [
+        {
+          "source": "review",
+          "target": "review"
+        }
+      ],
+      "metadata": [
+        {
+          "source": "id",
+          "target": "id"
+        }
+      ],
+      "suggestions": []
+    },
+    "imported": "UI"
+  },
   "workspace_id": "8fda4306-14a5-4aa4-9904-91ec775b5dc5",
-  "last_activity_at": "2025-09-24T02:05:15.058193",
-  "inserted_at": "2025-09-23T22:46:19.729472",
-  "updated_at": "2025-09-23T22:46:20.068020"
+  "last_activity_at": "2025-09-24T07:36:52.553109",
+  "inserted_at": "2025-09-24T07:16:44.232088",
+  "updated_at": "2025-09-24T07:16:45.414536"
 }

.argilla/settings.json

@@ -1,30 +1,30 @@
 {
-  "guidelines": "Label each movie review as 'positive' or 'negative' based on sentiment.",
-  "allow_extra_metadata": false,
+  "guidelines": null,
+  "allow_extra_metadata": true,
   "distribution": {
     "strategy": "overlap",
     "min_submitted": 1
   },
   "fields": [
     {
-      "id": "4957c1d3-1ac0-4553-b674-4ec98738e424",
+      "id": "4f420e17-0d0a-4d01-bb6e-c434f25b78e3",
       "name": "review",
       "title": "review",
-      "required": true,
+      "required": false,
       "settings": {
         "type": "text",
         "use_markdown": false
       },
-      "dataset_id": "084e670d-4e20-43d3-885f-d48bbbee400b",
-      "inserted_at": "2025-09-23T22:46:19.888780",
-      "updated_at": "2025-09-24T02:42:01.566129"
+      "dataset_id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
+      "inserted_at": "2025-09-24T07:16:44.485404",
+      "updated_at": "2025-09-24T07:16:44.485404"
     }
   ],
   "questions": [
     {
-      "id": "20682130-8c1f-4485-acbd-47e7961715bc",
-      "name": "sentiment",
-      "title": "sentiment",
+      "id": "9ca859e5-8131-466a-b940-1a7275a94c58",
+      "name": "label_0",
+      "title": "label_0",
       "description": null,
       "required": true,
       "settings": {
@@ -39,15 +39,35 @@
             "value": "negative",
             "text": "negative",
             "description": null
+          },
+          {
+            "value": "neutral",
+            "text": "neutral",
+            "description": null
           }
         ],
         "visible_options": null
       },
-      "dataset_id": "084e670d-4e20-43d3-885f-d48bbbee400b",
-      "inserted_at": "2025-09-23T22:46:19.971385",
-      "updated_at": "2025-09-23T22:46:19.971385"
+      "dataset_id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
+      "inserted_at": "2025-09-24T07:16:44.728330",
+      "updated_at": "2025-09-24T07:16:44.728330"
+    }
+  ],
+  "metadata": [
+    {
+      "id": "56cf4038-9584-4b7d-88ab-7dc1b026aca2",
+      "name": "id",
+      "title": "id",
+      "settings": {
+        "type": "integer",
+        "min": null,
+        "max": null
+      },
+      "visible_for_annotators": true,
+      "dataset_id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
+      "inserted_at": "2025-09-24T07:16:45.131625",
+      "updated_at": "2025-09-24T07:16:45.131625"
     }
   ],
-  "metadata": [],
   "vectors": []
 }

README.md

@@ -3,39 +3,6 @@ tags:
 - rlfh
 - argilla
 - human-feedback
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: status
-    dtype: string
-  - name: inserted_at
-    dtype: timestamp[us]
-  - name: updated_at
-    dtype: timestamp[us]
-  - name: _server_id
-    dtype: string
-  - name: review
-    dtype: string
-  - name: label_0.responses
-    sequence: string
-  - name: label_0.responses.users
-    sequence: string
-  - name: label_0.responses.status
-    sequence: string
-  - name: metadata.id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 159783
-    num_examples: 100
-  download_size: 111238
-  dataset_size: 159783
 ---
 
 # Dataset Card for sentiment_challenge
@@ -89,7 +56,7 @@ The **fields** are the features or text of a dataset's records. For example, the
 
 | Field Name | Title | Type | Required |
 | ---------- | ----- | ---- | -------- |
-| review | review | text | True |
+| review | review | text | False |
 
 
 ### Questions
@@ -98,11 +65,19 @@ The **questions** are the questions that will be asked to the annotators. They c
 
 | Question Name | Title | Type | Required | Description | Values/Labels |
 | ------------- | ----- | ---- | -------- | ----------- | ------------- |
-| sentiment | sentiment | label_selection | True | N/A | ['positive', 'negative'] |
+| label_0 | label_0 | label_selection | True | N/A | ['positive', 'negative', 'neutral'] |
 
 
 <!-- check length of metadata properties -->
 
+### Metadata
+
+The **metadata** is a dictionary that can be used to provide additional information about the dataset record.
+| Metadata Name | Title | Type | Values | Visible for Annotators |
+| ------------- | ----- | ---- | ------ | ---------------------- |
+ | id | id | integer |  -  | True |
+
+
 
 
 
@@ -130,7 +105,7 @@ The dataset contains a single split, which is `train`.
 
 #### Annotation guidelines
 
-Label each movie review as 'positive' or 'negative' based on sentiment.
+[More Information Needed]
 
 #### Annotation process