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Download README.md from dccc2025/tmp_dataset_hadar: direct link, hf CLI and curl.
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https://huggingface.co/datasets/dccc2025/tmp_dataset_hadar/resolve/main/README.md
- Command line
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hf download hf://datasets/dccc2025/tmp_dataset_hadar/README.md
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curl -L -o README.md https://huggingface.co/datasets/dccc2025/tmp_dataset_hadar/resolve/main/README.md
922 Bytes
| license: apache-2.0 | |
| pretty_name: HADAR LWIR HSI inputs (FrontierPhysics) | |
| tags: | |
| - hyperspectral | |
| - lwir | |
| - envi | |
| - remote-sensing | |
| - thermal | |
| # HADAR task inputs (frozen snapshot) | |
| This repository hosts the **complete** `/root/inputs` bundle for the | |
| FrontierPhysics task `heat-assisted-detection-and-ranging`: | |
| - five DARPA IH Dataset ENVI cubes (`.bsq` + `.hdr`) | |
| - per-scene zenith downwelling and matching attenuation (6–14 µm, 4 nm), | |
| computed with libRadtran from nearest-time layered soundings and HITRAN lines | |
| - the agent-facing `DATASET_CARD.md` | |
| The cubes are too large for GitHub (each `.bsq` is 381–687 MB). The task | |
| Dockerfile downloads **this pinned revision** at image build and verifies | |
| SHA256. Do not treat `main` as a live feed: rebuilds must keep using the | |
| commit hash in the task's `environment/hf/inputs.lock`. | |
| Full scientific documentation is in `DATASET_CARD.md` in this snapshot. | |