Update README: Clean up hallucinations, fix contact info, change to MIT license

README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-4.0
+license: mit
 task_categories:
 - image-classification
 - feature-extraction
@@ -28,13 +28,9 @@ configs:
 
 # DeepEarth Central Florida Native Plants Dataset v0.2.0
 
-<p align="center">
-  <img src="https://github.com/deepearth/assets/deepearth-logo.png" alt="DeepEarth" width="200"/>
-</p>
-
 ## 🌿 Dataset Summary
 
-A comprehensive multimodal biodiversity dataset featuring **33,665 observations** of **232 native plant species** from Central Florida. This dataset combines citizen science observations with state-of-the-art vision and language embeddings for advancing biodiversity monitoring and species distribution modeling.
+A comprehensive multimodal dataset featuring **33,665 observations** of **232 native plant species** from Central Florida. This dataset combines citizen science observations with state-of-the-art vision and language embeddings for advancing multimodal self-supervised ecological intelligence research.
 
 ### Key Features
 - 🌍 **Spatiotemporal Coverage**: Complete GPS coordinates and timestamps for all observations
@@ -80,7 +76,7 @@ Each observation contains:
 | Field | Type | Description |
 |-------|------|-------------|
 | `gbif_id` | int64 | Unique GBIF occurrence ID |
-| `taxon_id` | string | Species identifier |
+| `taxon_id` | string | GBIF taxon ID |
 | `taxon_name` | string | Scientific species name |
 | `latitude` | float | GPS latitude |
 | `longitude` | float | GPS longitude |
@@ -91,7 +87,7 @@ Each observation contains:
 | `minute` | int | Observation minute (nullable) |
 | `second` | int | Observation second (nullable) |
 | `image_urls` | List[string] | URLs to observation images |
-| `num_images` | int | Number of images |
+| `num_images` | int | Relative image number in GBIF occurrence |
 | `has_vision` | bool | Vision embeddings available |
 | `vision_file_indices` | List[int] | Indices to vision files |
 | `language_embedding` | List[float] | 7,168-dim DeepSeek-V3 embedding |
@@ -183,7 +179,7 @@ species_embeddings = {
 
 ## 📄 License
 
-This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
+This dataset is released under the **MIT License**.
 
 ## 📚 Citation
 
@@ -202,20 +198,15 @@ If you use this dataset, please cite:
 
 ## 🌟 Acknowledgments
 
-We thank all citizen scientists who contributed observations through iNaturalist and GBIF. This dataset was created as part of the DeepEarth initiative for multimodal biodiversity monitoring.
+We thank all citizen scientists who contributed observations through iNaturalist and GBIF. This dataset was created as part of the DeepEarth initiative for multimodal self-supervised ecological intelligence research.
 
 ## 🔗 Related Resources
 
 - [DeepEarth Project](https://github.com/deepearth)
-- [V-JEPA Model](https://github.com/facebookresearch/jepa)
+- [V-JEPA Model](https://ai.meta.com/vjepa/)
 - [DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3)
 - [GBIF Portal](https://www.gbif.org)
 
-## ⚠️ Ethical Considerations
-
-- All observations are from public citizen science platforms
-- No endangered species location data is included at fine resolution
-- Please respect local regulations when using location data
 
 ## 📈 Dataset Statistics
 
@@ -227,4 +218,4 @@ We thank all citizen scientists who contributed observations through iNaturalist
 - **Geographic Scope**: Central Florida, USA
 
 ---
-*Dataset prepared by the DeepEarth team for advancing multimodal biodiversity research.*
+*Dataset prepared by the DeepEarth team for advancing multimodal self-supervised ecological intelligence research.*