diff --git a/.gitignore b/.gitignore
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+/.prepare-state.json
+*.partial
diff --git a/README.md b/README.md
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+---
+task_categories:
+- object-detection
+tags:
+- event-camera
+- v2e
+- voxel-grid
+- yolo
+viewer: false
+---
+
+# coco-v2e-native-voxel5
+
+Five-channel event voxel grids with YOLO object-detection annotations, prepared
+from an evbench benchmark directory. TIFF images and label files are preserved
+byte-for-byte. Raw event streams and original RGB images are not included.
+
+## Contents and splits
+
+| Physical split | Samples | Boxes |
+| --- | ---: | ---: |
+| train | 586,283 | 4,127,651 |
+| val | 24,760 | 176,381 |
+
+The YAML split mappings are:
+
+- `train` uses `images/train`.
+- `val` uses `images/val`.
+
+When validation and test point to the same directory, they contain the same samples;
+there is no independent validation set. Select a separate validation subset from
+training data, grouped by original source image/sequence, before tuning a model.
+
+Each uncompressed TAR shard contains paired members:
+
+```text
+images/<split>/<sample-key>.tif
+labels/<split>/<sample-key>.txt
+```
+
+Shards are sorted by sample key and keep each TIFF/label pair together. These are
+download-and-extract archives, rather than WebDataset-format samples. The Hub
+dataset viewer is disabled; load the extracted files with the training pipeline.
+
+## Representation and annotations
+
+Each TIFF has five grayscale pages, one per temporal bin, in time order. Preserve
+all five pages when decoding. The renderer produces uint8 signed-polarity (ON − OFF)
+voxel counts over a 50.0 ms window, normalized by the 99th percentile of
+nonzero absolute counts across the grid, clipped to [-1, 1], and encoded as
+`uint8(128 + 127 * value)`. A value of 128 denotes no net events.
+
+Labels are UTF-8 text: one `class_id center_x center_y width height` row per object.
+Coordinates are normalized to image dimensions; class IDs are zero-based.
+Empty label files denote samples with no boxes.
+
+| ID | Class |
+| ---: | --- |
+| 0 | person |
+| 1 | bicycle |
+| 2 | car |
+| 3 | motorcycle |
+| 4 | airplane |
+| 5 | bus |
+| 6 | train |
+| 7 | truck |
+| 8 | boat |
+| 9 | traffic light |
+| 10 | fire hydrant |
+| 11 | stop sign |
+| 12 | parking meter |
+| 13 | bench |
+| 14 | bird |
+| 15 | cat |
+| 16 | dog |
+| 17 | horse |
+| 18 | sheep |
+| 19 | cow |
+| 20 | elephant |
+| 21 | bear |
+| 22 | zebra |
+| 23 | giraffe |
+| 24 | backpack |
+| 25 | umbrella |
+| 26 | handbag |
+| 27 | tie |
+| 28 | suitcase |
+| 29 | frisbee |
+| 30 | skis |
+| 31 | snowboard |
+| 32 | sports ball |
+| 33 | kite |
+| 34 | baseball bat |
+| 35 | baseball glove |
+| 36 | skateboard |
+| 37 | surfboard |
+| 38 | tennis racket |
+| 39 | bottle |
+| 40 | wine glass |
+| 41 | cup |
+| 42 | fork |
+| 43 | knife |
+| 44 | spoon |
+| 45 | bowl |
+| 46 | banana |
+| 47 | apple |
+| 48 | sandwich |
+| 49 | orange |
+| 50 | broccoli |
+| 51 | carrot |
+| 52 | hot dog |
+| 53 | pizza |
+| 54 | donut |
+| 55 | cake |
+| 56 | chair |
+| 57 | couch |
+| 58 | potted plant |
+| 59 | bed |
+| 60 | dining table |
+| 61 | toilet |
+| 62 | tv |
+| 63 | laptop |
+| 64 | mouse |
+| 65 | remote |
+| 66 | keyboard |
+| 67 | cell phone |
+| 68 | microwave |
+| 69 | oven |
+| 70 | toaster |
+| 71 | sink |
+| 72 | refrigerator |
+| 73 | book |
+| 74 | clock |
+| 75 | vase |
+| 76 | scissors |
+| 77 | teddy bear |
+| 78 | hair drier |
+| 79 | toothbrush |
+
+## Provenance
+
+`meta.json` preserves the frame build settings and original statistics.
+The sequence metadata records source `coco`, modality `v2e`, preset `calibrated`, resolution 640 × 480, sequence duration 500 ms and label interval 100000 µs.
+
+When available, `sequence_meta.json` preserves the upstream sequence export settings.
+Machine-specific absolute paths are replaced with `<local-path>/<basename>`.
+`manifest.json` records the actual packaged sample/box counts and shard hashes.
+The build-time `v2e_preset` argument alone does not establish how upstream sequences
+were simulated; consult the sequence metadata and generating code.
+
+TODO before public release: add the generating code URL/commit, source-dataset
+citations and a citation for this derived dataset.
+
+## Download, verify and extract
+
+```bash
+pip install --upgrade huggingface_hub pyyaml
+hf download evbench/coco-v2e-native-voxel5 --repo-type dataset --local-dir ./dataset
+cd dataset
+python extract.py
+```
+
+The extracted root contains `data.yaml`, `images/` and `labels/`.
+Pass the **absolute path** of `data.yaml` to evbench or Ultralytics. The release YAML
+omits the machine-specific `path`. `extract.py` verifies all release checksums,
+extracts the shards and sets `path` to your local root for compatibility with evbench.
+This changes the local YAML, so checksum verification is intended for a fresh download,
+before extraction. The extraction helper requires Python >=3.11.8 and PyYAML.
+The configuration retains `channels: 5` and the original split mappings.
+
+In an evbench environment, for example:
+
+```bash
+python -m evbench.train --data /absolute/path/to/dataset/data.yaml --model yolo11s.pt
+```
+
+## License
+
+TODO before public release: document the applicable source-dataset terms and the license for this derived release. No license has been inferred.
diff --git a/SHA256SUMS b/SHA256SUMS
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diff --git a/data.yaml b/data.yaml
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index 0000000000000000000000000000000000000000..05998ab67b40ec91d71adb6f29158547ef0e0e12
--- /dev/null
+++ b/data.yaml
@@ -0,0 +1,91 @@
+names:
+  0: person
+  1: bicycle
+  2: car
+  3: motorcycle
+  4: airplane
+  5: bus
+  6: train
+  7: truck
+  8: boat
+  9: traffic light
+  10: fire hydrant
+  11: stop sign
+  12: parking meter
+  13: bench
+  14: bird
+  15: cat
+  16: dog
+  17: horse
+  18: sheep
+  19: cow
+  20: elephant
+  21: bear
+  22: zebra
+  23: giraffe
+  24: backpack
+  25: umbrella
+  26: handbag
+  27: tie
+  28: suitcase
+  29: frisbee
+  30: skis
+  31: snowboard
+  32: sports ball
+  33: kite
+  34: baseball bat
+  35: baseball glove
+  36: skateboard
+  37: surfboard
+  38: tennis racket
+  39: bottle
+  40: wine glass
+  41: cup
+  42: fork
+  43: knife
+  44: spoon
+  45: bowl
+  46: banana
+  47: apple
+  48: sandwich
+  49: orange
+  50: broccoli
+  51: carrot
+  52: hot dog
+  53: pizza
+  54: donut
+  55: cake
+  56: chair
+  57: couch
+  58: potted plant
+  59: bed
+  60: dining table
+  61: toilet
+  62: tv
+  63: laptop
+  64: mouse
+  65: remote
+  66: keyboard
+  67: cell phone
+  68: microwave
+  69: oven
+  70: toaster
+  71: sink
+  72: refrigerator
+  73: book
+  74: clock
+  75: vase
+  76: scissors
+  77: teddy bear
+  78: hair drier
+  79: toothbrush
+channels: 5
+train: images/train
+val: images/val
+evbench:
+  source: seq
+  modality: events
+  classmap: native
+  representation: voxel5
+  window_ms: 50.0
+  v2e_preset: null
diff --git a/extract.py b/extract.py
new file mode 100644
index 0000000000000000000000000000000000000000..012033cbba85b24b65f24ba74f4846f3eb9dbccd
--- /dev/null
+++ b/extract.py
@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+"""Verify the release, extract all shards and set data.yaml's local dataset root.
+
+Run after download: python extract.py (requires PyYAML).
+"""
+import hashlib
+import json
+from pathlib import Path
+import tarfile
+
+import yaml
+
+root = Path(__file__).resolve().parent
+for line in (root / "SHA256SUMS").read_text().splitlines():
+    expected, name = line.split("  ", 1)
+    path = (root / name).resolve()
+    if not path.is_relative_to(root):
+        raise SystemExit(f"Invalid checksum path: {name}")
+    print(f"Verifying {name}", flush=True)
+    with path.open("rb") as stream:
+        actual = hashlib.file_digest(stream, "sha256").hexdigest()
+    if actual != expected:
+        raise SystemExit(f"Checksum mismatch: {name}")
+
+manifest = json.loads((root / "manifest.json").read_text())
+for shard in manifest["shards"]:
+    path = (root / shard["path"]).resolve()
+    if not path.is_relative_to(root):
+        raise SystemExit(f"Invalid shard path: {shard['path']}")
+    print(f"Extracting {shard['path']}", flush=True)
+    with tarfile.open(path) as archive:
+        archive.extractall(root, filter="data")
+
+config_path = root / "data.yaml"
+config = yaml.safe_load(config_path.read_text())
+config["path"] = str(root)
+config_path.write_text(yaml.safe_dump(config, sort_keys=False))
+print(f"Ready: {config_path}")
+print("data.yaml now contains this machine's absolute path; verify before extraction on a fresh download.")
diff --git a/manifest.json b/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec18435535e12dd7a18de55375b4806c9efda090
--- /dev/null
+++ b/manifest.json
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+{
+  "format": "yolo-tar-shards",
+  "version": 1,
+  "dataset": "coco-v2e-native-voxel5",
+  "split_directories": {
+    "train": "images/train",
+    "val": "images/val"
+  },
+  "splits": {
+    "train": {
+      "samples": 586283,
+      "boxes": 4127651
+    },
+    "val": {
+      "samples": 24760,
+      "boxes": 176381
+    }
+  },
+  "shards": [
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+    },
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index 0000000000000000000000000000000000000000..e1ddfb79de25fc1b73c383000f012513a1d20062
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diff --git a/sequence_meta.json b/sequence_meta.json
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index 0000000000000000000000000000000000000000..acef1c97110dec089c814790ea9752be562aacc3
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