| --- |
| license: apache-2.0 |
| language: |
| - en |
| library_name: transformers |
| pipeline_tag: text-classification |
| base_model: distilroberta-base |
| datasets: |
| - aitrainingdatabroker/synthetic-contract-clauses-by-type-and-risk |
| tags: |
| - contracts |
| - legal-nlp |
| - clause-classification |
| - data-licensing |
| - synthetic |
| --- |
| |
| # Contract Clause Type Classifier |
|
|
| Reads one data license clause and names its type out of eight: exclusivity, term and renewal, payment, confidentiality, IP and ownership, indemnity, audit and deletion, or termination. |
|
|
| Every name, number and sentence it was trained on is made up. Nothing comes from a real person, customer or business. |
|
|
| Related tool: [contract-clause-watchlist](https://huggingface.co/spaces/aitrainingdatabroker/contract-clause-watchlist) (a Space that runs in your browser). |
|
|
| ## Why it exists |
|
|
| A data license is easier to review when each clause is filed under its type. This model files clauses so a person can compare, say, every indemnity across offers. |
|
|
| ## Use it |
|
|
| ```python |
| from transformers import pipeline |
| |
| classify = pipeline("text-classification", model="aitrainingdatabroker/contract-clause-type-classifier", top_k=3) |
| print(classify("The Licensee may keep the Dataset after the term and need not delete it.")) |
| ``` |
|
|
| ## How it was trained |
|
|
| Fine-tuned from `distilroberta-base` for 6 epochs on one RTX 3070. Training data: 376 rows from [synthetic-contract-clauses-by-type-and-risk](https://huggingface.co/datasets/aitrainingdatabroker/synthetic-contract-clauses-by-type-and-risk), all invented, with test rows built from templates the model never saw in training. The scripts that built the data and trained the model are in `source/`; the full scores are in `scores.json`. |
|
|
| ## Test scores |
|
|
| On 186 held-out rows: accuracy 0.726, macro F1 0.711. |
|
|
| | Label | F1 | Count | |
| |---|---|---| |
| | `audit_and_deletion` | 0.533 | 24 | |
| | `confidentiality` | 1.0 | 22 | |
| | `exclusivity` | 0.683 | 23 | |
| | `indemnity` | 0.96 | 24 | |
| | `ip_and_ownership` | 0.9 | 22 | |
| | `payment` | 0.657 | 24 | |
| | `term_and_renewal` | 0.957 | 24 | |
| | `termination` | 0.0 | 23 | |
|
|
| ## Limits |
|
|
| - Trained only on invented text from templates, with test sentences built from templates it never saw. Real text varies far more. |
| - Real clauses are longer and mix topics; a clause with two ideas gets one label. |
| - This model is not legal advice and not a certification. A person should review its output before anything is shared or decided, and your counsel decides what a rule requires. |
|
|
| ## Read more |
|
|
| - [How you get paid when you license data](https://aitrainingdatabroker.com/sell/how-you-get-paid/?utm_source=huggingface&utm_medium=model&utm_campaign=contract-clause-type-classifier) |
| - [Glossary of data licensing terms](https://aitrainingdatabroker.com/glossary/?utm_source=huggingface&utm_medium=model&utm_campaign=contract-clause-type-classifier) |
| - [Who is liable when data is licensed to AI](https://aitrainingdatabroker.com/sell/liability/?utm_source=huggingface&utm_medium=model&utm_campaign=contract-clause-type-classifier) |
|
|
| ## License and credit |
|
|
| Apache 2.0. Please credit **AI Training Data Broker** and link to https://aitrainingdatabroker.com/ when you share or build on it. |
|
|
| ## About |
|
|
| AI Training Data Broker is a broker and technical advisor for companies that sell or license their data to AI labs. It guides the technical side, including export, format, de-identification and compliance, and publishes free guides, checklists and tools. |
|
|
