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README.md

@@ -4,75 +4,6 @@ tags:
 - rlfh
 - argilla
 - human-feedback
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: _server_id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: label.responses
-    sequence: string
-  - name: label.responses.users
-    sequence: string
-  - name: label.suggestion
-    dtype: string
-  - name: label.suggestion.score
-    dtype: 'null'
-  - name: label.suggestion.agent
-    dtype: 'null'
-  - name: topics.suggestion
-    sequence: string
-  - name: topics.suggestion.score
-    sequence: float64
-  - name: topics.suggestion.agent
-    dtype: 'null'
-  - name: comment.suggestion
-    dtype: string
-  - name: ranking.suggestion.agent
-    dtype: 'null'
-  - name: span.suggestion.score
-    dtype: 'null'
-  - name: span.suggestion
-    list:
-    - name: end
-      dtype: int64
-    - name: label
-      dtype: string
-    - name: start
-      dtype: int64
-  - name: vector
-    sequence: float64
-  - name: comment_score
-    dtype: float64
-  - name: rating.suggestion
-    dtype: int64
-  - name: ranking.suggestion
-    sequence: string
-  - name: comment.suggestion.agent
-    dtype: 'null'
-  - name: span.suggestion.agent
-    dtype: 'null'
-  - name: rating.suggestion.agent
-    dtype: 'null'
-  - name: ranking.suggestion.score
-    dtype: 'null'
-  - name: comment.suggestion.score
-    dtype: float64
-  - name: rating.suggestion.score
-    dtype: 'null'
-  splits:
-  - name: train
-    num_bytes: 961
-    num_examples: 3
-  download_size: 16096
-  dataset_size: 961
 ---
 
 # Dataset Card for test-argilla-dataset
@@ -179,19 +110,19 @@ The **guidelines**, are optional as well, and are just a plain string that can b
 An example of a dataset instance in Argilla looks as follows:
 
 ```json
-"{\"id\":\"a19b1e2c-5cc2-4164-a178-d4a1dc2130cf\",\"inserted_at\":null,\"updated_at\":null,\"fields\":{\"text\":\"Hello World, how are you?\"},\"metadata\":{},\"vectors\":{},\"responses\":[{\"values\":{\"label\":{\"value\":\"positive\"}},\"status\":\"draft\",\"user_id\":\"1a4d1b86-4392-41f4-8e17-4a9a635c3e81\"}],\"suggestions\":[{\"value\":\"positive\",\"question_name\":\"label\",\"type\":null,\"score\":null,\"agent\":null,\"id\":\"98ac03b7-36b6-4387-8294-9717011ffc0e\",\"question_id\":\"b1c63924-4fe5-4bb3-87d0-78e9782860fe\"},{\"value\":[\"topic1\",\"topic2\"],\"question_name\":\"topics\",\"type\":null,\"score\":[0.9,0.8],\"agent\":null,\"id\":\"5691ec54-1fac-419b-a8be-29495e9ffe25\",\"question_id\":\"72e10b96-baa9-4725-9efe-1e2ef5108b01\"}],\"external_id\":\"6ca14694-eda0-4468-a4ea-f1a7f51d8e22\"}"
+"{\"id\":\"283311f8-fa88-49a8-9fe1-cb9bb8b41bfc\",\"inserted_at\":null,\"updated_at\":null,\"fields\":{\"text\":\"Hello World, how are you?\"},\"metadata\":{},\"vectors\":{},\"responses\":[{\"values\":{\"label\":{\"value\":\"positive\"}},\"status\":\"draft\",\"user_id\":\"1a4d1b86-4392-41f4-8e17-4a9a635c3e81\"}],\"suggestions\":[{\"value\":\"positive\",\"question_name\":\"label\",\"type\":null,\"score\":null,\"agent\":null,\"id\":\"5d2c84f4-a9ef-47fe-aacd-edd0454ec46b\",\"question_id\":\"577ae580-7cd6-41c2-80c1-c74054174bfc\"},{\"value\":[\"topic1\",\"topic2\"],\"question_name\":\"topics\",\"type\":null,\"score\":[0.9,0.8],\"agent\":null,\"id\":\"dab5910a-7429-4fa7-9ce2-57730823bcf5\",\"question_id\":\"5937042f-baba-4209-8b04-2725dc0da356\"}],\"external_id\":\"05d24c6f-7882-474f-81ee-5512024a5f92\"}"
 ```
 
 While the same record in HuggingFace `datasets` looks as follows:
 
 ```json
 {
-    "_server_id": "a19b1e2c-5cc2-4164-a178-d4a1dc2130cf",
+    "_server_id": "283311f8-fa88-49a8-9fe1-cb9bb8b41bfc",
     "comment.suggestion": null,
     "comment.suggestion.agent": null,
     "comment.suggestion.score": null,
     "comment_score": null,
-    "id": "6ca14694-eda0-4468-a4ea-f1a7f51d8e22",
+    "id": "05d24c6f-7882-474f-81ee-5512024a5f92",
     "label.responses": [
         "positive"
     ],
@@ -219,7 +150,8 @@ While the same record in HuggingFace `datasets` looks as follows:
     "topics.suggestion.score": [
         0.9,
         0.8
-    ]
+    ],
+    "vector": null
 }
 ```