Squash history

README.md

@@ -0,0 +1,330 @@
+---
+pretty_name: "BLV Object Recognition (Synthetic + Real-World)"
+license: cc-by-4.0
+language:
+  - en
+task_categories:
+  - image-segmentation
+  - object-detection
+task_ids:
+  - semantic-segmentation
+  - instance-segmentation
+size_categories:
+  - 100K<n<1M
+tags:
+  - accessibility
+  - blind-low-vision
+  - synthetic
+  - isaacsim
+  - sim-to-real
+  - urban-navigation
+configs:
+  - config_name: syn
+    data_files:
+      - split: train
+        path: syn/train/data-*.parquet
+  - config_name: real_ours
+    data_files:
+      - split: train
+        path: real_ours/train/data-*.parquet
+      - split: validation
+        path: real_ours/validation/data-*.parquet
+      - split: test
+        path: real_ours/test/data-*.parquet
+  - config_name: real_curated
+    data_files:
+      - split: train
+        path: real_curated/train/data-*.parquet
+dataset_info:
+  - config_name: syn
+    features:
+      - name: image
+        dtype: image
+      - name: mask
+        dtype: image
+      - name: source
+        dtype: string
+      - name: object_class
+        dtype: string
+      - name: class_id
+        dtype: int32
+      - name: environment
+        dtype: string
+      - name: sublocation
+        dtype: string
+      - name: asset
+        dtype: string
+      - name: trajectory
+        dtype: string
+      - name: frame_index
+        dtype: int32
+      - name: bbox
+        sequence:
+          sequence: int32
+      - name: bbox_class_ids
+        sequence: int32
+      - name: occlusion_ratio
+        sequence: float32
+      - name: width
+        dtype: int32
+      - name: height
+        dtype: int32
+  - config_name: real_ours
+    features:
+      - name: image
+        dtype: image
+      - name: mask
+        dtype: image
+      - name: source
+        dtype: string
+      - name: object_class
+        dtype: string
+      - name: class_id
+        dtype: int32
+      - name: location
+        dtype: string
+      - name: width
+        dtype: int32
+      - name: height
+        dtype: int32
+  - config_name: real_curated
+    features:
+      - name: image
+        dtype: image
+      - name: mask
+        dtype: image
+      - name: source
+        dtype: string
+      - name: source_dataset
+        dtype: string
+      - name: split_origin
+        dtype: string
+      - name: width
+        dtype: int32
+      - name: height
+        dtype: int32
+---
+
+# BLV Object Recognition: Synthetic + Real-World
+
+A dataset for training and evaluating object recognition and segmentation
+models on infrastructure relevant to **blind and low-vision (BLV) navigation**
+in urban environments. Three configurations plus a flat tree of 3D assets:
+
+| Config / tree | Splits | Purpose |
+|---------------|--------|---------|
+| `syn`           | `train` | Photorealistic IsaacSim renders for training / pretraining. |
+| `real_ours`     | `train` / `validation` / `test` | Real photographs we captured. **`real_ours/test` is the canonical benchmark eval.** |
+| `real_curated`  | `train` | Curated frames from public HF segmentation datasets (`curation`, `mapillary`), remapped to our class palette. |
+| `synthetic_objects/` (tree) | n/a | 3D asset library: per-asset `.glb` + `.ply` + `.usdz` triples grouped by BLV class. |
+
+![samples](docs/hero.png)
+
+## Quick links
+
+- [Datasheet for Datasets](docs/datasheet.md)
+- [Class index + palette](class_index.json)
+- Croissant metadata is auto-generated by Hugging Face for this repo (look for the *Croissant* button on the dataset page).
+- Paper: NeurIPS 2026 Datasets & Benchmarks (TBD).
+
+## Loading
+
+### With `datasets`
+
+```python
+from datasets import load_dataset
+
+syn_train     = load_dataset("NavAble/NeurIPS_2026_BLV", "syn",          split="train")
+ours_train    = load_dataset("NavAble/NeurIPS_2026_BLV", "real_ours",    split="train")
+ours_val      = load_dataset("NavAble/NeurIPS_2026_BLV", "real_ours",    split="validation")
+ours_test     = load_dataset("NavAble/NeurIPS_2026_BLV", "real_ours",    split="test")  # canonical eval
+curated_train = load_dataset("NavAble/NeurIPS_2026_BLV", "real_curated", split="train")
+
+row = ours_test[0]
+row["image"]   # PIL.Image.Image, RGB
+row["mask"]    # PIL.Image.Image, P-mode (palette) - pixel value == class_id
+```
+
+### Pulling the 3D assets
+
+```python
+from huggingface_hub import snapshot_download
+
+# All 3D assets for a single class:
+snapshot_download(
+    repo_id="NavAble/NeurIPS_2026_BLV", repo_type="dataset",
+    allow_patterns=["synthetic_objects/door_button/**"],
+    local_dir="./assets",
+)
+```
+
+### With PyTorch directly
+
+```python
+from torch.utils.data import Dataset
+from datasets import load_dataset
+import numpy as np
+import torch
+import torchvision.transforms.functional as TF
+
+class BLVSegDataset(Dataset):
+    def __init__(self, config: str, split: str, image_size: int = 512):
+        self.ds = load_dataset("NavAble/NeurIPS_2026_BLV", config, split=split)
+        self.image_size = image_size
+
+    def __len__(self):
+        return len(self.ds)
+
+    def __getitem__(self, idx):
+        row = self.ds[idx]
+        img = TF.resize(row["image"].convert("RGB"), [self.image_size, self.image_size])
+        mask = TF.resize(row["mask"], [self.image_size, self.image_size],
+                         interpolation=TF.InterpolationMode.NEAREST)
+        img_t  = TF.to_tensor(img)
+        mask_t = torch.from_numpy(np.array(mask, dtype=np.int64))
+        return {"image": img_t, "mask": mask_t, "class": row["object_class"]}
+```
+
+## Splits & sizes
+
+| Config         | Split        | Rows |
+|----------------|--------------|------|
+| `syn`          | train        | 452704 |
+| `real_ours`    | train        | 3703 |
+| `real_ours`    | validation   | 396 |
+| `real_ours`    | test         | 1482 |
+| `real_curated` | train        | 36466 |
+
+3D asset library (`synthetic_objects/`): 500 GLB+PLY+USDZ triples across 9 classes.
+
+## Class taxonomy
+
+| ID | Class | Synthetic | Real (Ours) |
+|----|-------|-----------|-------------|
+| 1 | `aps_button` | yes | yes |
+| 2 | `bus_stop` | yes | yes |
+| 3 | `bus_stop_sign` | yes | yes |
+| 4 | `crosswalk` | yes | yes |
+| 5 | `door_button` | yes | yes |
+| 6 | `elevator` | yes | yes |
+| 7 | `elevator_button` | yes | yes |
+| 8 | `escalator` | yes | yes |
+| 9 | `handrail` | yes | yes |
+| 10 | `pedestrian_signal` | yes | yes |
+| 11 | `turnstile` | yes | no |
+
+The synthetic-only class `turnstile` has no real-world examples in this release;
+report real-world metrics over the 10 shared classes.
+
+## Per-class row counts
+
+| Class | syn/train | real_ours/train | real_ours/val | real_ours/test | real_curated/train |
+|---|---|---|---|---|---|
+| `aps_button` | 62855 | 206 | 23 | 66 | 0 |
+| `bus_stop` | 60789 | 205 | 23 | 62 | 0 |
+| `bus_stop_sign` | 60480 | 140 | 16 | 54 | 0 |
+| `crosswalk` | 54360 | 9 | 1 | 3 | 27786 |
+| `door_button` | 45360 | 1327 | 148 | 622 | 0 |
+| `elevator` | 23760 | 1065 | 119 | 479 | 15 |
+| `elevator_button` | 23350 | 378 | 23 | 86 | 4401 |
+| `escalator` | 7062 | 135 | 15 | 40 | 1296 |
+| `handrail` | 44468 | 21 | 3 | 8 | 1197 |
+| `pedestrian_signal` | 45210 | 217 | 25 | 62 | 6650 |
+| `turnstile` | 25010 | 0 | 0 | 0 | 0 |
+
+## Synthetic coverage
+
+- **Frames:** 452704
+- **Trajectories:** 700
+- **Environments:** 37
+- **Distinct assets:** 112
+
+## Mask encoding
+
+Each `mask` is a single-channel PNG (PIL `mode="P"`) with an embedded palette.
+Pixel value `i` corresponds to the `i`-th entry in `class_index.json`:
+
+| Pixel | Class | Palette RGB |
+|-------|-------|-------------|
+| 0 | `BACKGROUND` | (0, 0, 0) |
+| 1 | `aps_button` | (220, 20, 60) |
+| 2 | `bus_stop` | (255, 140, 0) |
+| 3 | `bus_stop_sign` | (255, 215, 0) |
+| 4 | `crosswalk` | (50, 205, 50) |
+| 5 | `door_button` | (0, 191, 255) |
+| 6 | `elevator` | (138, 43, 226) |
+| 7 | `elevator_button` | (255, 105, 180) |
+| 8 | `escalator` | (0, 128, 128) |
+| 9 | `handrail` | (165, 42, 42) |
+| 10 | `pedestrian_signal` | (75, 0, 130) |
+| 11 | `turnstile` | (255, 20, 147) |
+
+Convert to a numeric label map with `np.array(row["mask"])`.
+
+## Source data
+
+- **Synthetic** — generated in NVIDIA IsaacSim (Replicator) by spawning each
+  asset across a curated catalog of urban environments
+  (37 unique scenes including default and sunset/night lighting
+  variants), with randomized camera trajectories. Each frame ships an RGBA
+  image, a semantic segmentation mask color-coded per object instance, and 2D
+  tight bounding boxes.
+- **Real (Ours)** — real photographs captured at 113 distinct
+  physical locations covering the 10 shared object classes. Annotations were
+  authored as polygon segmentations in COCO format and rasterized to the
+  unified palettized PNG mask format used here.
+- **Real (Curated)** — frames sampled from public segmentation datasets
+  (`source_dataset = "curation"` or `"mapillary"`). Class IDs were remapped
+  from each source taxonomy to the global BLV palette. The original
+  per-frame split (`split_origin`) is preserved as a column; all curated
+  rows are exposed under a single `train` split here.
+- **3D Assets (`synthetic_objects/`)** — 500 per-asset folders, each
+  containing a `.glb` (Khronos), a Gaussian-splat `.ply`, and a `.usdz`
+  (USD bundle, Apple/Pixar) ready for IsaacSim or AR pipelines. Assets are
+  organized by BLV class.
+
+## Preprocessing
+
+Produced by `scripts/build_hf_dataset.py`. Synthetic RGB PNGs are hardlinked
+unchanged from the source tree; the IsaacSim RGBA-encoded semantic masks are
+converted into single-channel palettized PNGs against a global class index;
+synthetic 2D bounding-box `.npy` files are flattened into JSONL columns; the
+real-world COCO polygon annotations are rasterized to the same palettized PNG
+format using `pycocotools`.
+
+## Known limitations
+
+- **Resolution mismatch.** Synthetic frames are 1280×720; real-world frames
+  are 640×360. Models that resize to a common input shape are unaffected.
+- **Class imbalance in real-world data.** Some classes have few real-world
+  examples (e.g. `crosswalk`, `handrail`). Report per-class mIoU alongside any
+  aggregate.
+- **`turnstile` is synthetic-only.** Evaluate over the 10 shared classes for
+  real-world metrics.
+- **Sim-to-real gap.** Synthetic textures and lighting may not match
+  real-world distributions perfectly.
+
+## Ethical considerations
+
+- The synthetic data contains no personally identifiable information.
+- Real-world captures were collected in public spaces; the dataset is intended
+  for accessibility research and **must not be used for surveillance or
+  identification of individuals**.
+- The class taxonomy targets infrastructure relevant to blind/low-vision
+  navigation; models trained on this dataset should not be deployed in
+  safety-critical settings without additional validation.
+
+## License
+
+Released under **CC BY 4.0**.
+
+## Citation
+
+```bibtex
+@inproceedings{blv2026,
+  title     = {BLV Object Recognition: A Synthetic and Real-World Benchmark},
+  author    = {Anonymized Authors},
+  booktitle = {NeurIPS 2026 Datasets and Benchmarks Track},
+  year      = {2026}
+}
+```

class_index.json

@@ -0,0 +1,98 @@
+{
+  "BACKGROUND": {
+    "id": 0,
+    "color": [
+      0,
+      0,
+      0
+    ]
+  },
+  "aps_button": {
+    "id": 1,
+    "color": [
+      220,
+      20,
+      60
+    ]
+  },
+  "bus_stop": {
+    "id": 2,
+    "color": [
+      255,
+      140,
+      0
+    ]
+  },
+  "bus_stop_sign": {
+    "id": 3,
+    "color": [
+      255,
+      215,
+      0
+    ]
+  },
+  "crosswalk": {
+    "id": 4,
+    "color": [
+      50,
+      205,
+      50
+    ]
+  },
+  "door_button": {
+    "id": 5,
+    "color": [
+      0,
+      191,
+      255
+    ]
+  },
+  "elevator": {
+    "id": 6,
+    "color": [
+      138,
+      43,
+      226
+    ]
+  },
+  "elevator_button": {
+    "id": 7,
+    "color": [
+      255,
+      105,
+      180
+    ]
+  },
+  "escalator": {
+    "id": 8,
+    "color": [
+      0,
+      128,
+      128
+    ]
+  },
+  "handrail": {
+    "id": 9,
+    "color": [
+      165,
+      42,
+      42
+    ]
+  },
+  "pedestrian_signal": {
+    "id": 10,
+    "color": [
+      75,
+      0,
+      130
+    ]
+  },
+  "turnstile": {
+    "id": 11,
+    "color": [
+      255,
+      20,
+      147
+    ]
+  }
+}

docs/datasheet.md

@@ -0,0 +1,83 @@
+# Datasheet: BLV Object Recognition (Synthetic + Real-World)
+
+Following the structure of *Datasheets for Datasets* (Gebru et al., 2018).
+
+## Motivation
+
+**For what purpose was the dataset created?**
+To enable training and evaluation of computer-vision models for blind and
+low-vision (BLV) navigation aids. The dataset focuses on infrastructure
+objects that BLV travelers must perceive and interact with (signals, doors,
+escalators, handrails, etc.) and pairs photorealistic synthetic data for
+training with real-world photographs (split into train / val / test) for
+evaluation.
+
+**Who funded the creation of the dataset?**
+DARoS Lab.
+
+## Composition
+
+**What do instances represent?**
+Each instance is a single image with a paired pixel-level segmentation mask.
+Synthetic instances additionally carry 2D bounding boxes per object.
+
+**How many instances are there?**
+- `syn/train`: 452704
+- `real_ours/train`: 3703
+- `real_ours/validation`: 396
+- `real_ours/test`: 1482
+- `real_curated/train`: 36466
+- `synthetic_objects/` (3D assets): 500 across 9 classes
+
+**Does the dataset contain all possible instances?**
+No. The synthetic data is a finite sample drawn from a parameterized
+generation pipeline; the real-world data is a finite collection of
+photographs.
+
+**Is there any missing information?**
+The synthetic-only class `turnstile` has no real-world examples in this
+release.
+
+**Are there errors, sources of noise, or redundancies?**
+- Synthetic masks are produced by IsaacSim's Replicator and may contain edge
+  artifacts at sub-pixel object boundaries.
+- Real-world polygon annotations were authored manually and may have small
+  boundary errors.
+
+## Collection process
+
+**Synthetic.** Generated in NVIDIA IsaacSim using Replicator. Each trajectory
+samples an asset, environment, and lighting condition, and records
+RGB + semantic mask + 2D bounding box per frame.
+
+**Real-world.** Photographs captured by data collectors at distinct physical
+locations covering the 10 shared object classes; annotated with COCO-format
+polygon segmentations.
+
+## Preprocessing / cleaning / labeling
+
+See `README.md` and `scripts/build_hf_dataset.py`. The on-disk layout
+re-encodes synthetic RGBA-coded masks into a single global palettized format
+and rasterizes real-world COCO polygons into the same format. Source RGB PNGs
+are not re-encoded.
+
+## Uses
+
+**Has the dataset been used for any tasks already?**
+The dataset will accompany a paper at the NeurIPS 2026 Datasets & Benchmarks
+track (submission pending).
+
+**What other tasks could the dataset be used for?**
+Sim-to-real transfer studies, robustness analysis under lighting conditions,
+multi-task learning combining detection and segmentation.
+
+**Are there tasks for which the dataset should not be used?**
+The dataset must not be used for surveillance or identification of
+individuals. The synthetic data does not represent real people; the
+real-world data was collected in public spaces and is intended only for
+accessibility research.
+
+## Distribution
+
+The dataset is hosted on Hugging Face at `NavAble/NeurIPS_2026_BLV` and
+licensed under CC BY 4.0.

real_curated/train/data-00000-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d264fb5ed0baabea5440c2518e20f9a50759d27affe00128ceae8727021f4d6
+size 637230965

real_curated/train/data-00001-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33892513d5fa7b88c1d04d70fd9e0628230fa90fed8f57a2269e5a2c0f355c8e
+size 625221371

real_curated/train/data-00002-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2b11a26054ab34a9cbeb697045062fd6d1956029e232969a0dec94e997dd428
+size 650695305

real_curated/train/data-00003-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:090b6ab3e8831b698c93cd6cf92d76fd863e71a2c44ca0c9e5551ed4086c0aad
+size 5936291190

real_curated/train/data-00004-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49b90ba9651b39723e36899bf884f83b99b0d3def4c7916a7a37da8514f86067
+size 612260237

real_curated/train/data-00005-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8500a2211671a03de3e4cd76e45063e652fceac64f3091bf489292969c36449
+size 633701492

real_curated/train/data-00006-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:426b7596141f4a7a0717f12c14d8c32ee31b6cc7828ca71c84bf5fd0442aa060
+size 618232075

real_curated/train/data-00007-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79c6581e4e67c99701aafcc774643ebf4f3a2a016537a21a636f76af9cec8b74
+size 624253187

real_curated/train/data-00008-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:daa4936c57e809a986c718c7b8f7191f853f330add0fc32b3e7a2ae2c331be07
+size 616936336

real_curated/train/data-00009-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79076ac7b544d09bb3e66b8bd008b55f2d867808fcf8d2adf5e572b934373e42
+size 631705999

real_curated/train/data-00010-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:132cbd59054e0423630664ba03aadabca259aaf126bf123fc8f5c1825e936b52
+size 631551221

real_curated/train/data-00011-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:854cfe2242ce9e45282dde592d3f8ccfaf2318e4ad6a8e5d16690d445c6123dd
+size 627312706

real_curated/train/data-00012-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5e6827bd1c3b16017a8bceb3e2c9336dda8b05c64aafd2f7961b8238666710d
+size 631765229

real_curated/train/data-00013-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcd0989d35431671299cca555a3badae36be75a390854643896519068e94c462
+size 633209413

real_curated/train/data-00014-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50f1682561c3d5d2e9a502a393c1010d2febfb8be78c4e278569bfe99ec4bb29
+size 626805139

real_curated/train/data-00015-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3441b58bce29da6aa876fcc809aca089a91e81024ecae0230c9327edd7fcfc87
+size 628447841

real_curated/train/data-00016-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bfb0314fb63d6cbaf31d82a12c616428731d248b81f33904a7a303b3a6a0270a
+size 626235478

real_curated/train/data-00017-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9fd144308c3976539192b5d9473f1c83ccb1745e3c8e888276f4765926dab1b3
+size 630921658

real_curated/train/data-00018-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad67a948114b4369daf2c6189ccd30c620d0feed3e512a5aaa1b9ccf6224b198
+size 629726119

real_curated/train/data-00019-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2dc7b7df144319de0dd201857e217abe1b28e3d1fdd28873ea4af9c2faf47901
+size 632968410

real_curated/train/data-00020-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77e8341a3831d0ec9358cf6ffe2b3a590c046d8ca4c36464614905af31edd6f1
+size 625278359

real_curated/train/data-00021-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9baa3489e4b302320649f11adf97c2efebb6d0663a2e5e7868b445b0b43e060b
+size 623589408

real_curated/train/data-00022-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d7e533d2a999e648286b54d130da682c4434355d48681bdf57c5ee176044039
+size 626446917

real_curated/train/data-00023-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:534bd1c4be23eedb3bbebd91c05d4447bdac1bcffa754dd082e3ce9c1fbb40f7
+size 624514687

real_curated/train/data-00024-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bfc1f05c948d3f6e2b17a03a4f991b4313f3908cb7b0c50b8016b4212a4fa061
+size 4873383432

real_curated/train/data-00025-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c42079d92e82f0bd8ba2ba2e1c936a309802dfc067f1a46d04a80d34959f6b
+size 10412744005

real_curated/train/data-00026-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cff9a1862fc9b9163122d3b3ef7ca1e01571ccbc4549ad0d64b60b81075fa11e
+size 10264213070

real_curated/train/data-00027-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16c60cf88615d8702454200e944aac453e6b027034353460da5dfbe239d1037c
+size 10183859056

real_curated/train/data-00028-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c89bf40f357be079ec6e01dafd6c9dc242486a0085203e531c3410ef72e40e95
+size 10059187535

real_curated/train/data-00029-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a36fa6bce5b9ae1b1adb883068c44f107c6dd2c89fcf556f3041b64d8b1f01f9
+size 10281308379

real_curated/train/data-00030-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4dc6c14c1b931cce56412705ceb6bfcd2672c70d1ff61af98e4f4734775458d8
+size 10438847397

real_curated/train/data-00031-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ad44f97e62eb179b794bbcc0e71a9fdaddbe0b65901496f036a797c70742061
+size 10457938223

real_curated/train/data-00032-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96bac738a1508851002b09aec6b9724fa28b9faf8970a8a3011fe9b039a08750
+size 8889963864

real_curated/train/data-00033-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d0760fe5c09bb40931de8187b4ec3f7658fc6a0eb2eeb239a2637f121bf7d6
+size 643104884

real_curated/train/data-00034-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5c25efe05c589a9fc5f956e542e3db1178ce966ceac01bf982c061ffe52de9c
+size 632832807

real_curated/train/data-00035-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f731a0a04bfb6bc490400b3d53bb0344b9f7adc50f4a76f3b77cc9f703966e6
+size 1294707033

real_curated/train/data-00036-of-00037.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a694c57d141dd94a82549bf50c4b44880d12049a5ba5aaba9925b0244d93793
+size 4916360232

real_ours/test/data-00000-of-00002.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0bd649f8cd19ca09cce36a54a8992bd4c7ebbd3a0177505015df009213c5b40
+size 246334231

real_ours/test/data-00001-of-00002.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93dd8c960906b63110e672be7a7543e89d63cf9428d3460fbf1909f4bb7c3af8
+size 115481686

real_ours/train/data-00000-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42e77409ab9f4f2d69ebe3edd77a8725057ffd36ff6bc7cf8631aa0d58b9a888
+size 280244935

real_ours/train/data-00001-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d4ba21550cd3b042fd9dbf6141804857f168a8a93a4624d0bcc272bf5dc0d5d
+size 281673296

real_ours/train/data-00002-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f6ee65febf1530ee17afab9f156e7f7f1a7668dd4bcddfad7367c825bcf5979
+size 264867529

real_ours/train/data-00003-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f74c002927f70eee5e4cc08286500c503656813cfbf49374a6f615c5ecae1cc2
+size 177669091

real_ours/validation/data-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a470f3ba9f92fff8217cdb291a9e4953ec1f19f380e7bc14886dd5294943d7d3
+size 111181849

syn/train/data-00000-of-00453.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0961b0de34793bdfd1252a95d90f427042141c687ae992cae12dc82ea0eded49
+size 1452825165