# MELD English Test Sets

## Emotion Label Alignment

| UsTwo Pipeline (EN) | MELD Label | Match |
|---|---|---|
| neutral | neutral | ✅ Exact |
| joy | joy | ✅ Exact |
| sadness | sadness | ✅ Exact |
| anger | anger | ✅ Exact |
| surprise | surprise | ✅ Exact |
| fear | fear | ✅ Exact |
| disgust | disgust | ✅ Exact |

**7/7 labels match exactly.** No mapping needed.

## Test Sets

| File | Scenario | Speakers | Primary Emotion | Duration | Utterances | Emotion Distribution |
|---|---|---|---|---|---|---|
| 01_angry_fight | Couple in a heated argument | Ross, Rachel | anger | 36.9s | 11 utts | anger:7 neutral:2 sadness:1 disgust:1 |
| 02_happy_loving | Couple being affectionate and playful | Chandler, Monica | joy | 43.8s | 16 utts | joy:6 surprise:5 anger:3 neutral:1 sadness:1 |
| 03_sad_emotional | Emotional confession — "you still love me?" | Ross, Rachel | sadness | 55.4s | 17 utts | neutral:7 sadness:4 anger:3 surprise:3 |
| 04_surprise_shock | Drunk voicemail surprise scene | Ross, Rachel | surprise | 30.2s | 8 utts | surprise:5 neutral:2 sadness:1 |
| 05_fear_anxiety | Anxious and worried conversation | Chandler, Rachel | fear | 19.9s | 12 utts | fear:5 neutral:4 surprise:2 sadness:1 |
| 06_disgust_annoyance | Annoyed and frustrated bickering | Joey, Rachel | anger | 29.2s | 11 utts | anger:5 neutral:2 sadness:1 surprise:1 fear:1 joy:1 |
| 07_bittersweet | Saying goodbye with conflicting feelings | Ross, Rachel | sadness | 43.3s | 14 utts | sadness:6 surprise:3 anger:3 fear:1 neutral:1 |
| 08_calm_daily | Casual everyday chitchat (baseline) | Joey, Monica | neutral | 40.4s | 15 utts | neutral:13 joy:2 |
| 09_opposite_emotions | Tense speaker + calm listener — triggers `listening` pair animation | 2 spk | surprise | 24.9s | 11 segs | surprise:5 neutral:3 anger:1 fear:1 joy:1 (pipeline fused) |

## Notes
- All dialogues are 2-speaker (male + female) conversations
- 03: Ross+Rachel only, utt15 removed (timestamp overlap with utt14)
- 04: starts from "Rach, I got a message from you", utt3/utt8 removed (timestamp overlaps)
- 06: Joey+Rachel only, utt16 removed (addresses Ross)
- 07: utt11 removed (timestamp overlap with utt10)
- 09: **opposite-emotion demo scene (updated 2026-04-22)** — WAV replaced by user. E2E pipeline output: speaker_0 dominant=surprise (max 0.68, tense via anger residual), speaker_1 dominant=neutral (max 0.54, calm). `(tense, calm)` → **pair_state=`listening`** triggers (sparkles effect, speaker_1 = giver/listener). Recap captures "one expressing worry through sharp words, the other sharing tender vision." Per-utterance ground-truth labels not available post-update; distribution numbers derived from pipeline fused output.

## Source
- Dataset: MELD (Multimodal EmotionLines Dataset)
- Source: Friends TV series
- Paper: Poria et al., ACL 2019
- Each WAV is a full dialogue concatenated from per-utterance MP4 clips
- Audio: 16kHz mono PCM (matches pipeline input format)

## Usage
```bash
# Run pipeline on a single test set
python scripts/run_pipeline.py data/meld_test/01_angry_fight.wav

# Evaluate all test sets
python scripts/evaluate_meld_test.py
```