Upload folder using huggingface_hub

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
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submissions/README.md

@@ -0,0 +1,86 @@
+# Submissions Directory
+
+This directory contains formatted submission files for the MT-RAG-Benchmark competition.
+
+## Structure
+
+```
+submissions/
+├── val/                    # Validation set submissions (for testing)
+│   ├── A6_hybrid_rerank.jsonl
+│   └── A10_finetuned.jsonl
+└── test/                   # Test set submissions (for final evaluation)
+    └── final_submission.jsonl
+```
+
+## File Format
+
+Each submission file is in JSONL format with one entry per query:
+
+```json
+{
+  "query_id": "clapnq_123",
+  "retrieved_passages": [
+    "doc1_chunk0",
+    "doc2_chunk3",
+    "doc5_chunk1",
+    ...
+  ],
+  "top_k": 10
+}
+```
+
+## Generating Submissions
+
+Use the `make_submission.py` script:
+
+```bash
+# Generate validation submission
+python scripts/make_submission.py \
+  --experiment A6_hybrid_rerank \
+  --split val \
+  --output data/submissions/val/A6_hybrid_rerank.jsonl
+
+# Generate test submission (final)
+python scripts/make_submission.py \
+  --experiment A6_hybrid_rerank \
+  --split test \
+  --output data/submissions/test/final_submission.jsonl
+```
+
+## Validating Submissions
+
+Always validate before uploading:
+
+```bash
+python scripts/validate_submission.py \
+  --submission data/submissions/test/final_submission.jsonl \
+  --strict
+```
+
+## Submission Checklist
+
+Before submitting to the competition:
+
+- [ ] Run validation script with `--strict` flag
+- [ ] Verify all domains covered (clapnq, cloud, fiqa, govt)
+- [ ] Check file size is reasonable (< 10MB)
+- [ ] Ensure exactly 10 passages per query
+- [ ] No duplicate query_ids
+- [ ] File is valid JSONL (one JSON per line)
+
+## Naming Convention
+
+Use descriptive names that include:
+- Experiment ID (e.g., A6)
+- Key technique (e.g., hybrid_rerank)
+- Split (val or test)
+
+Example: `A6_hybrid_rerank_val.jsonl`
+
+## Git Policy
+
+⚠️ **Never commit test set submissions to git!**
+
+Only validation submissions can be tracked for experimentation.
+Add test submissions to `.gitignore`.

submissions/RESULTS_SUMMARY.md

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+# Resumen de Resultados - MT-RAG Benchmark
+
+**Fecha**: 8 de Enero, 2026  
+**Experimentos Completados**: 28 (20 baselines + 8 híbridos)
+
+## 1. Baselines con Ground Truth Rewrites
+
+Todos los modelos usando query rewrites proporcionados en el dataset.
+
+### Métricas nDCG@10 por Dominio
+
+| Modelo      | CLAPNQ  | CLOUD   | FIQA    | GOVT    | AVG     |
+|-------------|---------|---------|---------|---------|---------|
+| BM25        | 0.26554 | 0.23786 | 0.12726 | 0.30238 | 0.23326 |
+| SPLADE      | 0.52388 | 0.42833 | 0.39193 | 0.48347 | 0.45690 |
+| BGE-1.5     | 0.49830 | 0.37854 | 0.34986 | 0.42780 | 0.41363 |
+| BGE-M3      | 0.42882 | 0.28835 | 0.27183 | 0.33853 | 0.33188 |
+| Voyage-3    | 0.52165 | 0.35502 | 0.31087 | 0.44566 | 0.40830 |
+
+### Observaciones
+
+- **SPLADE**: Mejor modelo sparse, consistente en todos los dominios (avg 0.457)
+- **Voyage-3**: Mejor en CLAPNQ (0.522), pero variable en otros dominios
+- **BGE-1.5**: Balance sólido, segunda mejor opción dense (avg 0.414)
+- **BGE-M3**: Bajo rendimiento, especialmente en CLOUD/FIQA (-14% a -22%)
+- **BM25**: Baseline tradicional, el más débil (avg 0.233)
+
+### Mejora con Rewrites
+
+Comparado con last-turn queries:
+- BM25: +26.3%
+- SPLADE: +9.0%
+- BGE-1.5: +13.9%
+- Voyage-3: +7.7%
+- BGE-M3: -3.2% (empeora)
+
+## 2. Experimentos Híbridos
+
+Hybrid retrieval usando **Reciprocal Rank Fusion (RRF)** con k=60.
+
+### Configuración por Dominio
+
+**CLAPNQ + GOVT** (dominios fuertes):
+- Retrievers: SPLADE + Voyage-3
+- Top-k: 300 cada uno
+- Fusión: RRF (k=60)
+
+**CLOUD + FIQA** (dominios débiles/cost-effective):
+- Retrievers: SPLADE + BGE-1.5
+- Top-k: 300 cada uno
+- Fusión: RRF (k=60)
+
+### Métricas nDCG@10
+
+| Configuración                    | CLAPNQ  | CLOUD   | FIQA    | GOVT    |
+|----------------------------------|---------|---------|---------|---------|
+| SPLADE + Voyage-3 (No Rewrite)   | 0.53179 | -       | -       | 0.47462 |
+| SPLADE + Voyage-3 (Rewrite)      | 0.56266 | -       | -       | 0.53445 |
+| SPLADE + BGE-1.5 (No Rewrite)    | -       | 0.42967 | 0.37513 | -       |
+| SPLADE + BGE-1.5 (Rewrite)       | -       | 0.44028 | 0.40589 | -       |
+
+### Mejoras con Híbridos
+
+**vs Mejor Baseline Individual**:
+- CLAPNQ: 0.524 (SPLADE) → 0.563 (+7.4%)
+- GOVT: 0.484 (SPLADE) → 0.534 (+10.3%)
+- CLOUD: 0.428 (SPLADE) → 0.440 (+2.8%)
+- FIQA: 0.392 (SPLADE) → 0.406 (+3.6%)
+
+**Efecto del Rewrite en Híbridos**:
+- CLAPNQ: +5.8% (0.532 → 0.563)
+- GOVT: +12.6% (0.475 → 0.534)
+- CLOUD: +2.5% (0.430 → 0.440)
+- FIQA: +8.2% (0.375 → 0.406)
+
+## 3. Mejores Resultados por Dominio
+
+| Dominio | Mejor Configuración                    | nDCG@10 |
+|---------|----------------------------------------|---------|
+| CLAPNQ  | SPLADE + Voyage-3 (Rewrite)            | 0.56266 |
+| GOVT    | SPLADE + Voyage-3 (Rewrite)            | 0.53445 |
+| CLOUD   | SPLADE + BGE-1.5 (Rewrite)             | 0.44028 |
+| FIQA    | SPLADE + BGE-1.5 (Rewrite)             | 0.40589 |
+
+**Promedio General**: 0.48582
+
+## 4. Estructura de Archivos
+
+```
+data/submissions/
+├── baselines_rewrite/
+│   ├── A2_baseline_bm25_rewrite/
+│   │   ├── clapnq/
+│   │   │   ├── metrics.json
+│   │   │   └── retrieval_results.jsonl
+│   │   ├── cloud/
+│   │   ├── fiqa/
+│   │   └── govt/
+│   ├── A2_baseline_splade_rewrite/
+│   ├── A2_baseline_bge15_rewrite/
+│   ├── A2_baseline_bgem3_rewrite/
+│   └── A2_baseline_voyage_rewrite/
+│
+└── hybrid/
+    ├── hybrid_splade_voyage_norewrite/
+    ├── hybrid_splade_voyage_rewrite/
+    ├── hybrid_splade_bge15_norewrite/
+    └── hybrid_splade_bge15_rewrite/
+```
+
+Cada experimento contiene:
+- `metrics.json`: Métricas completas (nDCG, Recall, MAP, Precision @ 5/10/20/100)
+- `retrieval_results.jsonl`: Resultados de retrieval por query (top-k document IDs)
+
+## 5. Próximos Experimentos
+
+### En Ejecución
+- **Reranking** (03-rerank): BGE-Reranker-v2-m3 sobre mejores híbridos
+  - Esperado: +3-5% adicional (0.55-0.58 nDCG@10 en CLAPNQ)
+
+### Pendientes
+- Fine-tuning de retrievers específicos por dominio
+- Query expansion strategies
+- Ensemble methods
+
+## 6. Conclusiones Clave
+
+1. **Ground truth rewrites funcionan**: +9% a +26% mejora vs last-turn
+2. **SPLADE es la base sólida**: Mejor sparse retriever consistente
+3. **Híbridos superan individuales**: +3% a +10% mejora adicional
+4. **Domain-specific optimization**: Voyage-3 para fuertes, BGE-1.5 para débiles
+5. **BGE-M3 problemático**: Evitar en configuraciones con rewrites
+6. **RRF fusion efectivo**: k=60 funciona bien para combinar sparse+dense
+
+---
+*Generado automáticamente el 2026-01-08*

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