| Description | |
| NLP workflows increasingly involve rewriting text, but there's still a lot to learn about how to prompt LLMs effectively. This machine learning competition is designed to be a novel way to dig deeper into this problem. | |
| The challenge: recover the LLM prompt used to rewrite a given text. You’ll be tested against a dataset of 1300+ original texts, each paired with a rewritten version from Gemma, Google’s new family of open models. | |
| Evaluation | |
| Evaluation Metric: For each row in the submission and corresponding ground truth, sentence-t5-base is used to calculate corresponding embedding vectors. The score for each predicted/expected pair is calculated using the Sharpened Cosine Similarity, using an exponent of 3. The SCS is used to attenuate the generous score given by embedding vectors for incorrect answers. Do not leave any rewrite_prompt blank as null answers will throw an error. | |
| Submission File: The submission file should contain a header and have the following format: | |
| id,rewrite_prompt | |
| 000 aaa,"Rewrite this essay but do it using the writing style of Dr. Seuss" | |
| 111 bbb,"Rewrite this essay but do it using the writing style of William Shakespeare" | |
| 222 ccc,"Rewrite this essay but do it using the writing style of Tupac Shakur" | |
| ... | |
| Dataset Description | |
| The competition dataset comprises text passages that have been rewritten by the Gemma 7b-it LLM with undisclosed prompts. The goal of the competition is to determine what prompts were used. | |
| Please note that this is a Code Competition. When your submission is scored, this example test data will be replaced with the full test set. Expect roughly 1,400 original texts in the test set. | |
| Files | |
| [train/test].csv | |
| - id: A unique identifier for the row. | |
| - original_text: The prompt the essay was written in response to. | |
| - rewrite_prompt: The target column. The prompt provided to Gemma. | |
| - rewritten_text: The output from Gemma. | |
| sample_submission.csv | |
| A submission file in the correct format. | |
| - id | |
| - rewrite_prompt | |
| Notes | |
| Only one example is provided in both train.csv and test.csv. | |
| You should generate additional data to train your model against (example). |