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gpt-2-output-dataset
This dataset contains:
- 250K samples from the WebText test set
- For each GPT-2 model (trained on the WebText training set), 250K plain samples (temperature 1, no truncation) and 250K samples generated with top-k 40 truncation
We look forward to the research produced using this data!
Download
For each, we have a training split of 500K total examples, as well as validation and test splits of 10K examples.
All data is located in Google Cloud Storage, at under the directory gs://gpt-2/output-dataset/v1
.
There, you will find files:
webtext.${split}.jsonl
small-117M.${split}.jsonl
small-117M-k40.${split}.jsonl
medium-345M.${split}.jsonl
medium-345M-k40.${split}.jsonl
large-762M.${split}.jsonl
large-762M-k40.${split}.jsonl
xl-1542M.${split}.jsonl
xl-1542M-k40.${split}.jsonl
where split is one of train
, test
, and valid
.
We've provided a script to download all of them, in download_dataset.py
.
Detectability baselines
We're interested in seeing research in detectability of our model generations.
We've provided a starter baseline which trains a logistic regression detector on TF-IDF unigram and bigram features, in baseline.py
.
Model | Temperature 1 | Top-K 40 |
---|---|---|
117M | 88.29% | 96.79% |
345M | 88.94% | 95.22% |
762M | 77.16% | 94.43% |
1542M | 74.31% | 92.69% |
Data removal requests
If you believe your work is included in our dataset and would like us to remove it, please let us know at [email protected].