Add dataset card

README.md

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+---
+license: apache-2.0
+task_categories:
+- text-to-video
+pretty_name: One-Forcing Data
+size_categories:
+- 1K<n<10K
+---
+
+# One-Forcing Data
+
+Compact clean-latent LMDB shards for One-Forcing training.
+
+The original ODE trajectory rows had shape `[num_denoising_steps, num_frames, channels, height, width]`.
+This release keeps only the clean latent used by training, so each row is stored as
+`[num_frames, channels, height, width]`.
+
+## Layout
+
+```text
+ODE6KCausal_chunkwise_0/data.mdb
+ODE6KCausal_chunkwise_0/lock.mdb
+...
+ODE6KCausal_chunkwise_14/data.mdb
+ODE6KCausal_chunkwise_14/lock.mdb
+```
+
+Each shard uses the same LMDB key layout as the training code:
+
+- `latents_shape`: stored shape for the shard, e.g. `434 21 16 60 104`
+- `latents_source_shape`: original full trajectory shape, e.g. `434 6 21 16 60 104`
+- `latents_clean_only`: `1`
+- `latents_{i}_data`: float16 clean latent row
+- `prompts_{i}_data`: UTF-8 prompt string
+- `prompts_shape`: number of prompts in the shard
+
+## Usage
+
+Point One-Forcing training at the downloaded dataset directory:
+
+```bash
+torchrun --nproc_per_node=8 train.py \
+  --config_path chunkwise_config.yaml \
+  --data_path /path/to/One-Forcing-Data \
+  --disable-wandb \
+  --no_visualize
+```
+
+The expected `data_prefix` is `ODE6KCausal_chunkwise`.