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README.md

@@ -4,53 +4,6 @@ tags:
 - rlfh
 - argilla
 - human-feedback
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-    id: field
-  - name: label
-    list:
-    - name: user_id
-      dtype: string
-      id: question
-    - name: value
-      sequence: string
-      id: suggestion
-    - name: status
-      dtype: string
-      id: question
-  - name: label-suggestion
-    sequence: string
-    id: suggestion
-  - name: label-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: 22099606
-    num_examples: 57732
-  download_size: 3612505
-  dataset_size: 22099606
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
 ---
 
 # Dataset Card for go_emotions_raw
@@ -209,7 +162,18 @@ An example of a dataset instance in Argilla looks as follows:
             }
         }
     ],
-    "suggestions": [],
+    "suggestions": [
+        {
+            "agent": null,
+            "question_name": "label",
+            "score": null,
+            "type": "human",
+            "value": [
+                "annoyance",
+                "neutral"
+            ]
+        }
+    ],
     "vectors": {}
 }
 ```
@@ -258,11 +222,14 @@ While the same record in HuggingFace `datasets` looks as follows:
             ]
         }
     ],
-    "label-suggestion": null,
+    "label-suggestion": [
+        "annoyance",
+        "neutral"
+    ],
     "label-suggestion-metadata": {
         "agent": null,
         "score": null,
-        "type": null
+        "type": "human"
     },
     "metadata": "{}",
     "text": " \"If you don\u0027t wear BROWN AND ORANGE...YOU DON\u0027T MATTER!\" We need a tshirt with that on it asap! "
@@ -298,56 +265,6 @@ The dataset contains a single split, which is `train`.
 
 ## Dataset Creation
 
-### Script to create the dataset
-
-```python
-import argilla as rg
-from datasets import load_dataset
-import uuid
-
-ds = load_dataset("go_emotions", "raw", split="train")
-
-label_columns = ['admiration', 'amusement', 'anger', 'annoyance', 'approval', 'caring', 'confusion', 'curiosity', 'desire', 'disappointment', 'disapproval', 'disgust', 'embarrassment', 'excitement', 'fear', 'gratitude', 'grief', 'joy', 'love', 'nervousness', 'optimism', 'pride', 'realization', 'relief', 'remorse', 'sadness', 'surprise', 'neutral']
-
-def add_labels(ex):
-    labels = []
-    for label in label_columns:
-        if ex[label] == 1:
-            labels.append(label)
-    ex["labels"] = labels
-    
-    return ex
-    
-df = ds.map(add_labels).select_columns(["text", "labels", "rater_id"]).to_pandas()
-
-feedback_dataset = rg.FeedbackDataset.for_text_classification(labels=label_columns, multi_label=True)
-
-records = []
-for text, df_text in df.groupby("text"):
-    responses = []
-    for rater_id, df_raters in df_text.groupby("rater_id"):
-        responses.append(
-            {
-                "values": {"label": {"value": df_raters["labels"].iloc[0].tolist()}},
-                "status": "submitted",
-                "user_id": uuid.UUID(int=rater_id),
-            }
-        )
-    records.append(
-        rg.FeedbackRecord(
-            fields={"text": df_raters["text"].iloc[0]},
-            responses=responses,
-        )
-    )
-
-
-feedback_dataset.add_records(records)
-
-
-feedback_dataset.push_to_huggingface("plaguss/go_emotions_raw")
-```
-
-
 ### Curation Rationale
 
 [More Information Needed]