| 1 | Society | 17.5% | |
| 2 | Humane | 5% | |
| 3 | Nafees | 2.5% | |
| 4 | Japan | 2.5% | |
| 5 | Mumbai | 2.5% | |
| 6 | Eid | 2.5% | |
| 7 | Bonnyville | 2.5% | |
| 8 | Greater | 2.5% | |
| 9 | Bakri | 2.5% | |
| 10 | Present | 2.5% | |
| 11 | Business | 2.5% | |
| 12 | Historical | 2.5% | |
| 13 | Eaton | 2.5% | |
| 14 | Slams | 2.5% | |
| 15 | Senior | 2.5% | |
| 16 | Girl | 2.5% | |
| 17 | Scratching | 2.5% | |
| 18 | Pasadena | 2.5% | |
| 19 | Cat | 2.5% | |
| 20 | Hope | 2.5% | |
| 21 | Surrey | 2.5% | |
| 22 | Benefit | 2.5% | |
| 23 | Citizens | 2.5% | |
| 24 | Scouts | 2.5% | |
| 25 | Local | 2.5% | |
| 26 | Mariyam | 2.5% | |
| 27 | Canyon | 2.5% | |
| 28 | Federalist | 2.5% | |
| 29 | Trump | 2.5% | |
| 30 | Human | 2.5% | |
| 31 | Birmingham | 2.5% | |
| 32 | Gerry | 2.5% | |
| 33 | Rosey | 2.5% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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