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| df = pd.DataFrame({'category': {2829: 'Building', | |
| 7313: 'Airport', | |
| 2534: 'SportsTeam', | |
| 4146: 'Building', | |
| 2125: 'Food', | |
| 7977: 'City', | |
| 8312: 'City', | |
| 4801: 'Food', | |
| 723: 'Building', | |
| 628: 'ComicsCharacter'}, | |
| 'eid': {2829: 'Id44', | |
| 7313: 'Id20', | |
| 2534: 'Id121', | |
| 4146: 'Id102', | |
| 2125: 'Id22', | |
| 7977: 'Id166', | |
| 8312: 'Id501', | |
| 4801: 'Id47', | |
| 723: 'Id82', | |
| 628: 'Id85'}, | |
| 'ntriples': {2829: 2, | |
| 7313: 2, | |
| 2534: 2, | |
| 4146: 4, | |
| 2125: 2, | |
| 7977: 1, | |
| 8312: 3, | |
| 4801: 5, | |
| 723: 1, | |
| 628: 1}}) |
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