Add anonymous dataset documentation

README.md

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+---
+configs:
+- config_name: site
+  data_files:
+  - split: sample
+    path: site/metadata.csv
+  default: true
+- config_name: patches
+  data_files:
+  - split: sample
+    path: patches/metadata.csv
+pretty_name: ELDOR Sample
+task_categories:
+- image-segmentation
+tags:
+- remote-sensing
+- semantic-segmentation
+- uav
+- orthomosaic
+---
+
+# ELDOR Sample
+
+Anonymous dataset release for peer review. This repository contains imagery, labels, and dataset documentation. Model checkpoints are not included.
+
+[Anonymous benchmark code](https://anonymous.4open.science/r/ELDOR-anonymous-review-D076/)
+
+This repository is a compact sample companion to the full `ELDOR` dataset:
+
+- Full dataset: `https://huggingface.co/datasets/ICLR-Review23/ELDOR`
+- It is intended for quick inspection of the imagery, labels, and released patch extraction without downloading the full release.
+
+## What this sample contains
+
+This sample contains one representative site and all of its released patches:
+
+- Representative site: `AcumulacionAaron2B` (`train` split)
+- Site-level aligned orthomosaic image and pixel-aligned label map
+- All released `512x512` patches derived from that site with `256` stride and the public crop filter used in ELDOR
+
+Two dataset configurations are exposed:
+
+- `site`: the full aligned site-level image/label pair
+- `patches`: every released patch derived from that site
+
+## How the sample was created
+
+The sample was created deterministically from the public ELDOR release:
+
+1. We selected `AcumulacionAaron2B` because it has the broadest per-site class coverage in the public release: 12 of the 14 foreground classes.
+2. We copied the exact released aligned orthomosaic PNG and label PNG for that site from the full dataset.
+3. We copied every released patch derived from that site from the public `data-cropped` export without additional filtering beyond the original ELDOR crop pipeline.
+
+The public crop pipeline used for ELDOR is:
+
+- patch size: `512x512`
+- stride: `256`
+- full windows only, no padding
+- drop a patch if background exceeds `80%`
+- patch images stored as JPEG and patch labels stored as PNG
+
+This sample includes the following foreground classes:
+
+- Building
+- Mining raft
+- Primary Forest
+- Heavy machinery
+- Water bodies
+- Agricultural crop
+- Gravel mounds
+- Type 1 natural regeneration
+- Type 2 natural regeneration
+- Bare ground
+- Sluice
+- Vehicles
+
+Foreground classes present in the full dataset but not in this single-site sample:
+
+- Compact mounds
+- Grass
+
+## Sample size summary
+
+- Site subset: 1 aligned image/label pair, `1.481` GB
+- Patch subset: `9849` image patches and `9849` label patches, `1.352` GB
+- Total sample size: `2.832` GB
+
+## File organization
+
+### `site` configuration
+
+- `site/images/AcumulacionAaron2B.png`
+- `site/labels/AcumulacionAaron2B.png`
+- `site/metadata.csv`
+
+### `patches` configuration
+
+- `patches/images/AcumulacionAaron2B_<row>_<col>.jpg`
+- `patches/labels/AcumulacionAaron2B_<row>_<col>.png`
+- `patches/metadata.csv`
+
+Patch filename indices are 1-based row and column indices in the released crop grid.