Update README.md

README.md

@@ -39,7 +39,18 @@ pretty_name: traceix-ai-telemetry
 
 # Traceix AI Security Telemetry
 
-These files are uploaded monthly automatically by Traceix and provided as is under the CC BY 4.0 license. You can test the datasets simply by doing the following:
+Each dataset is a JSONL file where **each line describes a single file analyzed by Traceix**. For every file you get:
+
+* **`file_capabilities`** – high-level behaviors and capabilities (CAPA-style + mapped to ATT&CK and MBC tags like `Execution/T1129`, `Discovery/T1083`, etc.).
+* **`file_exif_data`** – parsed EXIF metadata (file size, type, timestamps, company/product info, subsystem, linker/OS versions, etc.).
+* **`model_classification_info`** – [Traceix](https://traceix.com) model verdict (`safe` / `malicious`), classification timestamp, and inference latency in seconds.
+* **`decrypted_training_data`** – numeric feature vector actually used for training/inference (PE header fields, section statistics, imports/resources counts, entropy stats, etc.).
+* **`metadata`** – model version and accuracy, upload metadata (timestamp, SHA-256, license), and payment information (THRT amount, Solana transaction hash + explorer URL, price at time of payment).
+
+All records are focused on **malware analysis** and are stored in **JSONL format**.
+Datasets are **automatically exported by [Traceix](https://traceix.com) on a monthly schedule** and published **as-is** under the **CC BY 4.0** license.
+
+You can quickly load and sanity-check any monthly corpus using:
 
 ```python
 from datasets import load_dataset