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DROID umT5-XXL text-embedding cache (Wan2.1 / Wan2.2 공용)

source: /data/shared_dataset/DreamZero-DROID-Data — 123,259 raw task strings → 120,260 unique normalized strings (+ '' empty prompt)
encoder: umT5-XXL (Wan-AI/Wan2.2-TI2V-5B text_encoder, bf16; Wan2.1-14B/1.3B와 동일 가중치·tokenizer), tokenizer Wan-AI/Wan2.1-T2V-1.3B
max_sequence_length=512, trimmed=True (유효 토큰만 저장 + mask; 로더가 512까지 zero-pad, mask False), formalize_language=True (text.lower() → re.sub(r"[^\w\s]", "", text)), projected=False, embedding_dim 4096, dtype bf16
built with scripts/wam_dit4dit/precompute_text_embeds_wan22.py --trim-to-mask (2026-08-23) + append_empty_prompt_to_text_cache.py
train env: WAM_TEXT_EMBED_CACHE=<path>/droid_wan22_umt5.pt WAM_TEXT_EMBED_REQUIRE_HIT=1 WAN_TEXT_PAD_ZERO=1
payload keys: version, model, backbone_type, model_id, tokenizer_model_id, formalize_language, max_sequence_length, projected, embeddings{str: [L,4096]}, masks{str: [L]}, embedding_dim, seq_len, dtype, trimmed, source_stats

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