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| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: entities | |
| struct: | |
| - name: start | |
| list: int32 | |
| - name: end | |
| list: int32 | |
| - name: label | |
| list: string | |
| splits: | |
| - name: train | |
| num_bytes: 543338 | |
| num_examples: 1287 | |
| - name: test | |
| num_bytes: 90559 | |
| num_examples: 227 | |
| download_size: 213009 | |
| dataset_size: 633897 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| language: | |
| - en | |
| license: mit | |
| task_categories: | |
| - token-classification | |
| tags: | |
| - finance | |
| - options | |
| - ner | |
| # options-ner | |
| Tweets about stock options (trade alerts, unusual options flow, commentary) | |
| with the option-contract details marked as character spans: ticker, strike, | |
| option type, expiry, premium and price. This is the training and evaluation | |
| data for the [options-recognizer models](https://huggingface.co/StephanAkkerman/options-recognizer-gliner2-large); | |
| code and pipeline are in | |
| [StephanAkkerman/options-recognizer-model](https://github.com/StephanAkkerman/options-recognizer-model). | |
| ## Splits | |
| | split | tweets | entities | | |
| |---|---|---| | |
| | train | 1287 | 15346 | | |
| | test | 227 | 2526 | | |
| `test` is the held-out set every model was benchmarked on and is never | |
| trained on. Use it to compare against the published models. | |
| ## Fields | |
| | field | description | | |
| |---|---| | |
| | `id` | Task id | | |
| | `text` | Tweet text, cleaned (links and quote headers removed) | | |
| | `entities` | `start` / `end` character offsets into `text` (end exclusive) and a `label` | | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("StephanAkkerman/options-ner") | |
| row = ds["train"][0] | |
| for s, e, label in zip(row["entities"]["start"], row["entities"]["end"], row["entities"]["label"]): | |
| print(label, row["text"][s:e]) | |
| ``` | |
| ## Labels | |
| | label | entities | definition | | |
| |---|---|---| | |
| | `ticker` | 4316 | The stock or ETF symbol an option contract is written on, usually 1-5 letters and often preceded by a dollar sign (e.g., $AAPL, SPY, $T). MUST NOT be a company name, an @handle, or slang (YOLO, NFA, OTM, ITM). | | |
| | `strike` | 2830 | The strike price of an option contract, e.g. 350, 162.5, or $1300 in '$1300 calls'. MUST NOT be the stock's current price, a premium or per-contract price, a date, or a percentage. | | |
| | `option_type` | 3303 | Whether the contract is a call or a put, in any written form: C, P, call, calls, put, puts, c, p. Only the call/put word itself, not words like buyer or seller. | | |
| | `expiry` | 2719 | The expiration date of an option contract: 10/16, 11/06/2026, 6/17/27, November 20, 2026, December, or relative like '2 days'. MUST NOT be the date a report was posted (e.g. the 10/2 in '10/2 Notable Flow'). | | |
| | `premium` | 2534 | The total dollar size of the trade, e.g. $1.2M, $993K, 23 million. MUST NOT be a strike, the per-contract price, or the stock price. | | |
| | `price` | 2170 | The per-contract price or average fill, e.g. .15 in '@ .15' or 4.37 in '4.37avg'. Only the number. MUST NOT be a strike, premium, or the underlying's stock price. | | |
| ## How it was made | |
| Tweets were scraped from X/Twitter, cleaned, pre-labeled with an LLM and then | |
| reviewed and corrected by hand in Label Studio. Annotations whose label is | |
| unknown or whose span falls outside the text were dropped. | |
| ## Limitations | |
| English, informal, tweet-length text from options-focused accounts, so | |
| alert formats from specific accounts may be over-represented. The tweets are | |
| public posts, but the text remains the work of its authors; author handles are | |
| not included. Not financial advice. | |