unit stringclasses 3
values | claim_text stringclasses 3
values | metric_name stringclasses 3
values | source_text stringclasses 3
values | evidence_quote stringclasses 3
values | transport_mode stringclasses 3
values | statistic_value float64 1.8 28.4 | geographic_scope stringclasses 3
values | reference_period stringclasses 3
values | metric_definition stringclasses 3
values | verification_label stringclasses 3
values | verification_rationale stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
million vehicle-kilometers | Annual vehicle-kilometers traveled on the South Quay corridor totaled 1.8 million. | Vehicle-kilometers traveled | Northmere Transport Strategy, corridor appendix. The text lists 1.8 million vehicle-kilometers for the South Quay corridor. The period cell beside the figure is blank, and the methodology note says the table does not identify whether values are daily, annual, or cumulative. Vehicle-kilometers are defined as the sum of ... | The text lists 1.8 million vehicle-kilometers for the South Quay corridor. The period cell beside the figure is blank, and the methodology note says the table does not identify whether values are daily, annual, or cumulative. | Motor vehicles | 1.8 | South Quay corridor | Not specified in the source; annual in the claim | Sum of distances traveled by motor vehicles within the corridor; the source does not specify the aggregation period. | 证据不足 | The source gives the figure and corridor but does not identify its time basis, so it cannot establish that the amount is annual. |
% | In 2023, public transport accounted for 28.4% of all average-weekday person trips made by Merefield District residents. | Public transport mode share | 2023 Household Travel Survey — Merefield District. On an average weekday, public transport accounted for 28.4% of all person trips made by district residents. The denominator includes trips by all listed modes, and each trip is counted once by its primary mode. | On an average weekday, public transport accounted for 28.4% of all person trips made by district residents. | Public transport | 28.4 | Merefield District | 2023 (average weekday) | Share of all average-weekday person trips made by district residents, with each trip counted once by its primary mode. | 支持 | The source states the same percentage, time basis, population, and transport mode as the claim. |
minutes | Average peak-period trip duration for Alderwick residents was 22 minutes in 2022. | Average peak-period trip duration | 2022 Mobility Monitoring Report — Alderwick. The summary states that average peak-period trip duration was 22 minutes. Table 6, using the same measure—the mean door-to-door duration for trips beginning between 7:00 and 9:00 a.m., all modes combined—reports 26.7 minutes for Alderwick residents. The report notes that bot... | Table 6, using the same measure—the mean door-to-door duration for trips beginning between 7:00 and 9:00 a.m., all modes combined—reports 26.7 minutes for Alderwick residents. | All modes | 22 | Alderwick | 2022 | Mean door-to-door duration for trips beginning between 7:00 and 9:00 a.m., all modes combined. | 矛盾 | The table reports 26.7 minutes for the same measure, population, and survey wave, which conflicts with the claim's value of 22 minutes. |
Transportation Metrics and Statistical Claim Verification Dataset
This dataset contains statistical claims from web-based transportation planning reports, covering metrics such as passenger volumes, modal shares, travel times, and vehicle miles traveled. Records preserve verification context, including metric definitions, values, units, reference periods, and geographic scope, alongside source text, evidence excerpts, verification labels, and rationales. It supports fact-verification model training and evaluation, as well as transportation statistics extraction and evidence analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| unit | string | The unit or scale associated with the statistical value, such as passenger trips, percent, minutes, or kilometers. |
| claim_text | string | The complete statistical statement extracted from the source text for fact verification. |
| metric_name | string | The transportation metric addressed by the claim, such as passenger volume, modal share, travel time, or vehicle miles traveled. |
| source_text | string | Original text from a transportation planning report webpage, provided as the basis for claim extraction and verification. |
| evidence_quote | string | A passage from the source text that supports, contradicts, or is used to assess the statistical claim. |
| transport_mode | string | The transport mode addressed by the claim, such as bus, rail transit, private car, walking, or cycling; may be left blank when not applicable. |
| statistic_value | number | The numeric value in the claim. Values such as percentages are recorded numerically; the corresponding unit is provided separately. |
| geographic_scope | string | The city, region, administrative area, or other spatial scope addressed by the claim. |
| reference_period | string | The year, range of years, or other time period covered by the statistic. |
| metric_definition | string | The metric's stated scope, statistical subject, or calculation definition from the source; may be left blank if not provided. |
| verification_label | string | The assessment of the relationship between the source evidence and the statistical claim. |
| verification_rationale | string | An explanation of why the source evidence supports, contradicts, or is insufficient to assess the claim. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
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