Update README.md

README.md

@@ -1,31 +1,90 @@
----
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  - name: source
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 47692421
-    num_examples: 412059
-  - name: validation
-    num_bytes: 5943141
-    num_examples: 51443
-  - name: test
-    num_bytes: 6478964
-    num_examples: 56310
-  download_size: 32330824
-  dataset_size: 60114526
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
----
+---
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  - name: source
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 47692421
+    num_examples: 412059
+  - name: validation
+    num_bytes: 5943141
+    num_examples: 51443
+  - name: test
+    num_bytes: 6478964
+    num_examples: 56310
+  download_size: 32330824
+  dataset_size: 60114526
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+tags:
+- text-classification
+- emotion
+- multi-label
+- crowdsourced
+license: cc-by-4.0
+task_categories:
+- text-classification
+language:
+- en
+pretty_name: Super Emotion
+size_categories:
+- 100K<n<1M
+---
+
+# Super Emotion Dataset
+
+## Dataset Summary
+The **Super Emotion Dataset** is a large-scale dataset for emotion classification, aggregated from multiple sources:
+- [MELD](https://huggingface.co/datasets/declare-lab/MELD)
+- [GoEmotions](https://huggingface.co/datasets/google-research-datasets/go_emotions)
+- [Carer](https://huggingface.co/datasets/dair-ai/emotion)
+- [ISEAR](https://www.unige.ch/cisa/research/materials-and-online-research/research-material/)
+- [SemEval](https://huggingface.co/datasets/SemEvalWorkshop/sem_eval_2018_task_1)
+- [Crowdflower](tasksource/crowdflower)
+
+It contains **519,812 total samples**, respecting original train/validation/test splits where possible. It supports **7 emotion categories** which had maximum support in the aggregation: `joy, sadness, anger, fear, love, neutral, surprise`. Note that we merged some categories to this end (happiness and joy, hate and anger, grief and sadness).
+
+
+## Supported Tasks
+This dataset is designed for **emotion classification** and can be used for:
+- Single-label classification
+- Multi-label emotion recognition
+- Fine-tuning language models
+
+## Dataset Structure
+The dataset follows the structure:
+
+| Column  | Type   | Description |
+|---------|--------|-------------|
+| text    | string | The input text |
+| label   | string | The assigned emotion label |
+| source  | string | The original dataset |
+
+Splits:
+- **Train**: 412,059 samples
+- **Validation**: 51,443 samples
+- **Test**: 56,310 samples
+
+## Citation
+If you use this dataset, please cite the original sources (Crowdflower 2016, Elvis et al. 2018, Demszky et al. 2020, Vikash 2018, Poria et al. 2019, EI-reg Mohammad et al. 2018) as well as:
+
+```
+@inproceedings{JdFE2025d,
+  title = {The Super Emotion Dataset},
+  author = {Enric Junqu\'e de Fortuny},
+  year = {2025},
+  howpublished = {\url{https://huggingface.co/cirimus/super-emotion}},
+}
+```