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| pretty_name: Flight Search Intent Eval | |
| license: mit | |
| language: | |
| - en | |
| - de | |
| - es | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - eval | |
| - benchmark | |
| - travel | |
| - intent-parsing | |
| - structured-output | |
| - multilingual | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: en | |
| path: en.jsonl | |
| - split: de | |
| path: de.jsonl | |
| - split: es | |
| path: es.jsonl | |
| # Flight Search Intent Eval | |
| 244 real flight search queries in English, German and Spanish, each paired with the | |
| structured search specification a model should produce from it. | |
| This is the step _before_ booking: turning one messy sentence into origin, destination, | |
| dates, duration, passengers, cabin and filters. That specification decides which | |
| itineraries a traveler is ever shown, so grading it is grading whether the model | |
| understood which flights they meant. τ-bench and similar benchmarks cover what happens | |
| after a search spec exists. This covers what produces it. | |
| | split | cases | | |
| | --------- | ------- | | |
| | `en` | 150 | | |
| | `de` | 50 | | |
| | `es` | 44 | | |
| | **total** | **244** | | |
| ## Results | |
| Current leaderboard across 9 models: | |
| **https://fjmatrix.github.io/flight-search-intent-eval/** | |
| ## A case | |
| ```json | |
| { | |
| "id": "ow-europe-seasia-mar", | |
| "lang": "en", | |
| "text": "Europe to south east Asia mid march", | |
| "tags": ["oneway", "fuzzy-location", "flexible-date"], | |
| "expect": { | |
| "action": "get_tickets", | |
| "search_type": "oneway", | |
| "trips": [ | |
| { | |
| "departure": { "fuzzy": true, "names": ["Europe"] }, | |
| "arrival": { "fuzzy": true, "names": ["Southeast Asia", "South East Asia"] }, | |
| "departure_date": "03/10/26-03/20/26" | |
| } | |
| ] | |
| } | |
| } | |
| ``` | |
| `text` is the query as a traveler wrote it. `expect` asserts only the fields that query | |
| actually determines — anything it does not mention is simply absent, and no grader is | |
| run for it. | |
| Expected dates are written against an anchor date of **01/01/2026**, which is also the | |
| date the model under test is told is today. Change one and you must change the other. | |
| ## Tags | |
| | tag | cases | | | |
| | ---------------- | ----- | -------------------------------------------------------------------- | | |
| | `roundtrip` | 153 | out and back, stated as either a return date or a length, never both | | |
| | `flexible-date` | 116 | a window rather than a day | | |
| | `fuzzy-location` | 109 | a region, a country, or a vibe — no single IATA code | | |
| | `oneway` | 59 | no return stated | | |
| | `multi` | 12 | two or more trips, each with its own date, in ascending order | | |
| | `invalid-date` | 7 | a date that cannot be honored — already past, or no such day | | |
| | `invalid-others` | 3 | reads as a flight query but cannot become a search | | |
| ## Grading | |
| Eleven graders run per case. Each returns pass, fail, or **not applicable** — and | |
| not-applicable stays out of the denominator, so no model is rewarded or punished for a | |
| field its case says nothing about. A case passes only when every dimension it asserts | |
| passes. | |
| | grader | asserts | | |
| | --------------------------------------------- | --------------------------------------------------------------------------------------- | | |
| | `gradeAction` `gradeSearchType` | search vs. invalid; oneway / roundtrip / multi | | |
| | `gradeOrigin` `gradeDestination` | the right airports — or, for places with no IATA code, the right region | | |
| | `gradeDateRange` `gradeDuration` | departure and return land inside the allowed window; the stay inside the allowed nights | | |
| | `gradePassengers` `gradeCabin` `gradeFilters` | passengers, cabin, and the stops / price / bags / connection filters | | |
| | `gradeDateSanity` | no departure before today, no return before departure, multi-city legs in order | | |
| | `gradeTripShape` | trip count matches the search type; `return_date` and `duration` never both set | | |
| The last two take no expected value. They hold for any valid search, so every case is | |
| scored on them. | |
| What keeps this from being brittle: | |
| - **Dates are windows.** `"03/15/26"` demands that day. `"10/01/26-10/31/26"` accepts any | |
| day in October, because _"somewhere warm in October"_ has no single right answer. | |
| - **Durations are ranges.** `"7"` is exactly a week, `"3-5"` accepts 3 to 5 nights, | |
| `"21-"` is three weeks or more. | |
| - **Several airports can be right.** `{"any_code": ["ORD", "CHI", "MDW"]}` — Chicago is | |
| Chicago. | |
| - **Regions are compared by meaning.** _"west europe"_, _"beach towns in Southeast Asia"_ | |
| have no IATA code, so returned names are paired against expected ones by embedding | |
| cosine (≥ 0.80), one-to-one and order-free. | |
| ## Running it | |
| The harness, prompt, JSON schema and per-vendor adapters live in the GitHub repo: | |
| **https://github.com/fjmatrix/flight-search-intent-eval** | |
| ```bash | |
| npm install && npm run eval | |
| ``` | |
| Each run writes per-model JSON plus a self-contained HTML leaderboard. | |
| ## License | |
| MIT. | |