messages listlengths 3 3 | regions listlengths 1 20 ⌀ | metadata dict |
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[
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[
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[
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[
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"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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[
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{
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"profile": "landshift",
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[
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"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00004",
"profile": "landshift",
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[
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"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00004",
"profile": "landshift",
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[
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"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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[
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{
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"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00004",
"profile": "landshift",
"tile_stem": "landshift_00004_t0011"
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[
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"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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... | {
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[
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00004",
"profile": "landshift",
"tile_stem": "landshift_00004_t0012"
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[
{
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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215
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60,... | {
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[
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"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00004",
"profile": "landshift",
"tile_stem": "landshift_00004_t0013"
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[
{
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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215
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[
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00004",
"profile": "landshift",
"tile_stem": "landshift_00004_t0014"
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[
{
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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111,
120,... | {
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"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00004",
"profile": "landshift",
"tile_stem": "landshift_00004_t0015"
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[
{
"role": "system",
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"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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"label": "land_transition",
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139,
... | {
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[
{
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00005",
"profile": "landshift",
"tile_stem": "landshift_00005_t0000"
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[
{
"role": "system",
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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"label": "land_transition",
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... | {
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[
{
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00005",
"profile": "landshift",
"tile_stem": "landshift_00005_t0001"
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[
{
"role": "system",
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
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"label": "land_transition",
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138,
... | {
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"profile": "landshift",
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[
{
"role": "system",
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{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00005",
"profile": "landshift",
"tile_stem": "landshift_00005_t0002"
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[
{
"role": "system",
"content": [
{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | [
{
"label": "land_transition",
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"label": "land_transition",
"bbox": [
164,
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... | {
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"profile": "landshift",
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[
{
"role": "system",
"content": [
{
"type": "text",
"text": "You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized t... | null | {
"event_id": "landshift_00005",
"profile": "landshift",
"tile_stem": "landshift_00005_t0003"
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[
{
"role": "system",
"content": [
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YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
LandShift SFT
Temporal Sentinel-2 pairs (longer baseline by default) over sampled locations. NDVI delta highlights land-cover–style change; tiles emit change captions and optional grounding for connected change regions.
Record counts (this build)
| Split | JSONL lines |
|---|---|
| train | 187 |
| validation | 52 |
| test | 0 |
| total | 239 |
Tiles processed (caption rows ≈ this; grounding rows added when regions exist): 144.
Inputs
- Events file: optional
--eventsJSON/CSV (same schema as other PRO builders). If omitted, the builder uses seeded global land-change hubs (sample_land_change_locations). - CLI:
build_lfm_vl_landshift_sft.py— use--max-events 0with--eventsto consume the full file, or tune--seeded-eventsfor synthetic hubs.
Dataset layout
data/train.jsonl,data/validation.jsonl,data/test.jsonl— VLM SFT samples (messageslist with system/user/assistant content; images referenced by relative paths under this folder).images/— PNG chips (typically pre/post pair) consumed by the JSONL.metadata/— one JSON sidecar per tile/sample (scene ids, bbox, optionalregions, profile tag).
Splits
Train / validation / test are assigned from a stable hash of event_id (same event_id always lands in the same split).
Regenerating locally
Run from the nutonic repository root (paths relative to that root):
python data/scripts/build_lfm_vl_landshift_sft.py <see --help for required args>
Upload to the Hub (requires a token with write access to the target dataset repo):
export HF_TOKEN="hf_..." # or HUGGING_FACE_HUB_TOKEN
python data/scripts/build_lfm_vl_landshift_sft.py ... --upload-repo NuTonic/landshift-sft-v1 --hf-token "$HF_TOKEN"
Skip upload with --no-upload. Resume partial STAC downloads with --skip-existing.
Orchestrator (all PRO profiles)
python data/scripts/run_pro_sft_orchestrator.py \
--events-per-profile 0 \
--hf-org YOUR_ORG \
--upload-repo-firewatch YOUR_ORG/firewatch-sft-v1 \
--hf-token "$HF_TOKEN"
Use --upload-repo-<profile> per profile, or --hf-org to upload to YOUR_ORG/<default-repo-suffix> for each builder. See run_pro_sft_orchestrator.py --help.
Environment
| Variable | Purpose |
|---|---|
HF_TOKEN or HUGGING_FACE_HUB_TOKEN |
Hub upload if --hf-token is not passed. |
HTTP_PROXY / HTTPS_PROXY |
Optional; if your network requires a proxy to reach STAC and Hugging Face. |
STAC: scenes are resolved from Element84 Earth Search (sentinel-2-l2a by default). No Earth Engine or Mapbox keys are required for this pipeline.
Hub target for this artifact
Dataset repo id: NuTonic/landshift-sft-v1
Card URL: https://huggingface.co/datasets/NuTonic/landshift-sft-v1
Limitations
- Optical-only Sentinel-2; cloud cover and revisit gaps can drop events or leave empty change masks.
- Detections and captions are heuristic (indices / thresholds), not operational truth labels.
- Assistant text follows conservative wording (candidates, confidence qualifiers).
- Downloads last month
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