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README.md

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----
-license: mit
----
+# Central Florida Native Plants Dataset
+
+This dataset contains language embeddings for 232 native plant species from Central Florida.
+
+## Contents
+
+- **embeddings/**: PyTorch tensor files (.pt) containing 5120-dimensional language embeddings
+- **tokens/**: CSV files containing token mappings for each species
+- **metadata.json**: Dataset metadata including model information
+
+## Model Information
+
+- **Model**: DeepSeek-V3-0324-UD-Q4_K_XL (671B parameters, 4.5-bit quantized)
+- **Embedding Dimension**: 5120
+- **Prompt Template**: "Ecophysiology of {species_name}:"
+
+## Download Instructions
+
+### Prerequisites
+
+1. Install Google Cloud SDK: https://cloud.google.com/sdk/install
+2. Authenticate with Google Cloud:
+   ```bash
+   gcloud auth login
+   ```
+
+### Download Dataset
+
+Run the download script:
+```bash
+./download_dataset.sh
+```
+
+This will download:
+- 232 embedding files (`.pt` format)
+- 232 token mapping files (`.csv` format)
+- Dataset metadata
+
+## File Format
+
+### Embeddings
+Each `.pt` file contains a PyTorch tensor of shape `[5120]` representing the language embedding for one species. Files are named by GBIF taxon ID.
+
+### Token Mappings
+Each `.csv` file contains the tokenization information with columns:
+- `position`: Token position in sequence
+- `token_id`: Token ID in model vocabulary
+- `token`: Token string
+
+## Usage Example
+
+```python
+import torch
+import pandas as pd
+
+# Load embedding
+species_id = "2650927"  # Example GBIF ID
+embedding = torch.load(f"embeddings/{species_id}.pt")
+
+# Load token mapping
+tokens = pd.read_csv(f"tokens/{species_id}.csv")
+```
+
+## Citation
+
+If you use this dataset, please cite the DeepEarth project and DeepSeek model.

download_dataset.sh

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+#!/bin/bash
+# Download script for Central Florida Native Plants dataset
+# This script downloads language embeddings and token mappings from Google Cloud Storage
+
+DATASET_NAME="central_florida_native_plants"
+GCS_BUCKET="gs://deepearth"
+GCS_PATH="${GCS_BUCKET}/encodings/language/taxa"
+LOCAL_DIR="$(dirname "$0")"
+
+echo "======================================"
+echo "Central Florida Native Plants Dataset"
+echo "======================================"
+echo ""
+
+# Check if gsutil is installed
+if ! command -v gsutil &> /dev/null; then
+    echo "Error: gsutil is not installed."
+    echo "Please install Google Cloud SDK: https://cloud.google.com/sdk/install"
+    exit 1
+fi
+
+# Check authentication
+echo "Checking Google Cloud authentication..."
+if ! gsutil ls "$GCS_BUCKET" &> /dev/null; then
+    echo ""
+    echo "Authentication required. Please run:"
+    echo "  gcloud auth login"
+    echo ""
+    echo "Then try this script again."
+    exit 1
+fi
+
+echo "Downloading ${DATASET_NAME} dataset..."
+echo "Source: ${GCS_PATH}"
+echo "Destination: ${LOCAL_DIR}"
+
+# Create local directories
+mkdir -p "${LOCAL_DIR}/embeddings"
+mkdir -p "${LOCAL_DIR}/tokens"
+
+# Download embeddings
+echo ""
+echo "Downloading embeddings (.pt files)..."
+gsutil -m cp "${GCS_PATH}/embeddings/*.pt" "${LOCAL_DIR}/embeddings/"
+
+# Download token mappings
+echo ""
+echo "Downloading token mappings (.csv files)..."
+gsutil -m cp "${GCS_PATH}/tokens/*.csv" "${LOCAL_DIR}/tokens/"
+
+# Download metadata
+echo ""
+echo "Downloading metadata..."
+gsutil cp "${GCS_PATH}/metadata.json" "${LOCAL_DIR}/"
+
+# Count downloaded files
+echo ""
+echo "Download complete!"
+echo "Embeddings: $(ls -1 ${LOCAL_DIR}/embeddings/*.pt 2>/dev/null | wc -l) files"
+echo "Token mappings: $(ls -1 ${LOCAL_DIR}/tokens/*.csv 2>/dev/null | wc -l) files"
+echo ""
+echo "Total size: $(du -sh ${LOCAL_DIR} | cut -f1)"

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