Datasets:
Tasks:
Text Classification
Formats:
parquet
Sub-tasks:
multi-label-classification
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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---
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# Dataset Card for "EmotionAnalysisFinal"
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---
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# Dataset Card for "EmotionAnalysisFinal"
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---
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# ---------- REQUIRED METADATA ----------
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license: cc-by-sa-4.0 # Change if your licence differs
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pretty_name: EmotionAnalysisFinal
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tags:
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- semeval-2025-task-11
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- cross-lingual-emotion-detection
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task_categories:
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- text-classification
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task_ids:
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- emotion-detection
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multilinguality:
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- multilingual
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# List every language code that has a config
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language:
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- afr # Afrikaans
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- arq # Algerian Arabic
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- amh # Amharic
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- chn # Mandarin Chinese
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- vmw # Emakhuwa
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- eng # English
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- deu # German
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- hau # Hausa
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- hin # Hindi
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- ibo # Igbo
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- ind # Indonesian
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- xho # isiXhosa
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- zul # isiZulu
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- jav # Javanese
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- kin # Kinyarwanda
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- mar # Marathi
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- ary # Moroccan Arabic
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- pcm # Nigerian-Pidgin
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- orm # Oromo
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- ptbr # Portuguese (Brazil)
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- ptmz # Portuguese (Mozambique)
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- ron # Romanian
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- rus # Russian
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- som # Somali
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- esp # Spanish (LatAm)
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- sun # Sundanese
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- swa # Swahili
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- swe # Swedish
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- tat # Tatar
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- tir # Tigrinya
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- ukr # Ukrainian
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- yor # Yoruba
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# ---------- DATA FILE LOCATIONS ----------
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# Only dev (=validation) and test splits are available for Track C.
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configs:
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{% for subset in [
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"afr","arq","amh","chn","vmw","eng","deu","hau","hin",
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"ibo","ind","xho","zul","jav","kin","mar","ary","pcm",
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"orm","ptbr","ptmz","ron","rus","som","esp","sun","swa",
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"swe","tat","tir","ukr","yor"
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] %}
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- config_name: {{ subset }}
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data_files:
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- split: validation # dev split in the original release
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path: data/{{ subset }}/dev.csv
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- split: test
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path: data/{{ subset }}/test.csv
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{% endfor %}
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---
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# Dataset Card for **EmotionAnalysisFinal**
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`EmotionAnalysisFinal` is the official release of the **SemEval-2025 Task 11, Track C** cross-lingual emotion-detection benchmark.
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Each language-specific configuration contains:
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| Split | # instances | Notes |
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|--------------|------------|-------|
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| `validation` | *≈1 000* | Former “dev” split used during the task |
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| `test` | *≈1 000* | Gold labels released after evaluation |
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The annotation schema is **multi-label** over six basic emotions: *anger, disgust, fear, joy, sadness,* and *surprise*.
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## Quick start
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```python
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from datasets import load_dataset
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# Load Yoruba test split
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ds_test = load_dataset(
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"llama-lang-adapt/EmotionAnalysisFinal",
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"yor",
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split="test"
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)
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print(ds_test[0])
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