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On December 2, 2024 at 6:23:53 PM UTC,
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Added resource Original Metadata to Adult dataset
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| 3 | "author": "Seth Neel", | 3 | "author": "Seth Neel", | ||
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| 41 | "doi": "10.57702/cuh7j83e", | 41 | "doi": "10.57702/cuh7j83e", | ||
| 42 | "doi_date_published": "2024-11-25", | 42 | "doi_date_published": "2024-11-25", | ||
| 43 | "doi_publisher": "TIB", | 43 | "doi_publisher": "TIB", | ||
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| 46 | "extra_authors": [ | 46 | "extra_authors": [ | ||
| 47 | { | 47 | { | ||
| 48 | "extra_author": "Aaron Roth", | 48 | "extra_author": "Aaron Roth", | ||
| 49 | "orcid": "" | 49 | "orcid": "" | ||
| 50 | }, | 50 | }, | ||
| 51 | { | 51 | { | ||
| 52 | "extra_author": "Giuseppe Vietri", | 52 | "extra_author": "Giuseppe Vietri", | ||
| 53 | "orcid": "" | 53 | "orcid": "" | ||
| 54 | }, | 54 | }, | ||
| 55 | { | 55 | { | ||
| 56 | "extra_author": "Zhiwei Steven Wu", | 56 | "extra_author": "Zhiwei Steven Wu", | ||
| 57 | "orcid": "" | 57 | "orcid": "" | ||
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| 60 | "groups": [ | 60 | "groups": [ | ||
| 61 | { | 61 | { | ||
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| 63 | "display_name": "Adult Income Prediction", | 63 | "display_name": "Adult Income Prediction", | ||
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| 66 | "name": "adult-income-prediction", | 66 | "name": "adult-income-prediction", | ||
| 67 | "title": "Adult Income Prediction" | 67 | "title": "Adult Income Prediction" | ||
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| 73 | "image_display_url": "", | 73 | "image_display_url": "", | ||
| 74 | "name": "adult-dataset", | 74 | "name": "adult-dataset", | ||
| 75 | "title": "Adult dataset" | 75 | "title": "Adult dataset" | ||
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| 90 | "name": "bias-in-decision-making", | 90 | "name": "bias-in-decision-making", | ||
| 91 | "title": "Bias in decision-making" | 91 | "title": "Bias in decision-making" | ||
| 92 | }, | 92 | }, | ||
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| 99 | "title": "Classification" | 99 | "title": "Classification" | ||
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| 107 | "title": "Credit risk assessment" | 107 | "title": "Credit risk assessment" | ||
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| 115 | "title": "Criminal Justice" | 115 | "title": "Criminal Justice" | ||
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| 171 | "title": "Employment" | 171 | "title": "Employment" | ||
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| 203 | "title": "Income" | 203 | "title": "Income" | ||
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| 270 | "id": "b5f8b19c-fd00-48b3-ab90-9030df606a99", | 270 | "id": "b5f8b19c-fd00-48b3-ab90-9030df606a99", | ||
| 271 | "isopen": false, | 271 | "isopen": false, | ||
| 272 | "landing_page": "https://archive.ics.uci.edu/ml/datasets/Adult", | 272 | "landing_page": "https://archive.ics.uci.edu/ml/datasets/Adult", | ||
| 273 | "license_title": null, | 273 | "license_title": null, | ||
| 274 | "link_orkg": "", | 274 | "link_orkg": "", | ||
| 275 | "metadata_created": "2024-11-25T15:03:58.356078", | 275 | "metadata_created": "2024-11-25T15:03:58.356078", | ||
| n | 276 | "metadata_modified": "2024-12-02T18:23:50.095929", | n | 276 | "metadata_modified": "2024-12-02T18:23:51.798789", |
| 277 | "name": "adult-dataset", | 277 | "name": "adult-dataset", | ||
| 278 | "notes": "A commonly observed pattern in machine learning models is | 278 | "notes": "A commonly observed pattern in machine learning models is | ||
| 279 | an underprediction of the target feature, with the model\u2019s | 279 | an underprediction of the target feature, with the model\u2019s | ||
| 280 | predicted target rate for members of a given category typically being | 280 | predicted target rate for members of a given category typically being | ||
| 281 | lower than the actual target rate for members of that category in the | 281 | lower than the actual target rate for members of that category in the | ||
| 282 | training set.", | 282 | training set.", | ||
| n | 283 | "num_resources": 0, | n | 283 | "num_resources": 1, |
| 284 | "num_tags": 63, | 284 | "num_tags": 63, | ||
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| 286 | "approval_status": "approved", | 286 | "approval_status": "approved", | ||
| 287 | "created": "2024-11-25T12:11:38.292601", | 287 | "created": "2024-11-25T12:11:38.292601", | ||
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| 293 | "state": "active", | 293 | "state": "active", | ||
| 294 | "title": "No Organization", | 294 | "title": "No Organization", | ||
| 295 | "type": "organization" | 295 | "type": "organization" | ||
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| 297 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 297 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 298 | "private": false, | 298 | "private": false, | ||
| 299 | "relationships_as_object": [], | 299 | "relationships_as_object": [], | ||
| 300 | "relationships_as_subject": [], | 300 | "relationships_as_subject": [], | ||
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| 320 | "mls:task", | ||||
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| 324 | distributions based on DCAT.", | ||||
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| 352 | "vocabulary_id": null | 393 | "vocabulary_id": null | ||
| 353 | }, | 394 | }, | ||
| 354 | { | 395 | { | ||
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| 388 | }, | 429 | }, | ||
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| 436 | "vocabulary_id": null | 477 | "vocabulary_id": null | ||
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| 472 | }, | 513 | }, | ||
| 473 | { | 514 | { | ||
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| 478 | "vocabulary_id": null | 519 | "vocabulary_id": null | ||
| 479 | }, | 520 | }, | ||
| 480 | { | 521 | { | ||
| 481 | "display_name": "Prediction", | 522 | "display_name": "Prediction", | ||
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| 486 | }, | 527 | }, | ||
| 487 | { | 528 | { | ||
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| 494 | { | 535 | { | ||
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| 514 | }, | 555 | }, | ||
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| 529 | { | 570 | { | ||
| 530 | "display_name": "adult dataset", | 571 | "display_name": "adult dataset", | ||
| 531 | "id": "e6cc7d7d-f8a1-4267-9052-c084b9f8e7a0", | 572 | "id": "e6cc7d7d-f8a1-4267-9052-c084b9f8e7a0", | ||
| 532 | "name": "adult dataset", | 573 | "name": "adult dataset", | ||
| 533 | "state": "active", | 574 | "state": "active", | ||
| 534 | "vocabulary_id": null | 575 | "vocabulary_id": null | ||
| 535 | }, | 576 | }, | ||
| 536 | { | 577 | { | ||
| 537 | "display_name": "adults", | 578 | "display_name": "adults", | ||
| 538 | "id": "8909c453-995c-45d8-a8ab-f7f49431c3f6", | 579 | "id": "8909c453-995c-45d8-a8ab-f7f49431c3f6", | ||
| 539 | "name": "adults", | 580 | "name": "adults", | ||
| 540 | "state": "active", | 581 | "state": "active", | ||
| 541 | "vocabulary_id": null | 582 | "vocabulary_id": null | ||
| 542 | }, | 583 | }, | ||
| 543 | { | 584 | { | ||
| 544 | "display_name": "age", | 585 | "display_name": "age", | ||
| 545 | "id": "3fbb0ff1-c28f-42b5-b10f-8101391c41d2", | 586 | "id": "3fbb0ff1-c28f-42b5-b10f-8101391c41d2", | ||
| 546 | "name": "age", | 587 | "name": "age", | ||
| 547 | "state": "active", | 588 | "state": "active", | ||
| 548 | "vocabulary_id": null | 589 | "vocabulary_id": null | ||
| 549 | }, | 590 | }, | ||
| 550 | { | 591 | { | ||
| 551 | "display_name": "annual income", | 592 | "display_name": "annual income", | ||
| 552 | "id": "48e57b34-166f-43f7-836b-07479c3c3419", | 593 | "id": "48e57b34-166f-43f7-836b-07479c3c3419", | ||
| 553 | "name": "annual income", | 594 | "name": "annual income", | ||
| 554 | "state": "active", | 595 | "state": "active", | ||
| 555 | "vocabulary_id": null | 596 | "vocabulary_id": null | ||
| 556 | }, | 597 | }, | ||
| 557 | { | 598 | { | ||
| 558 | "display_name": "binary classification", | 599 | "display_name": "binary classification", | ||
| 559 | "id": "37dcee18-4260-4806-bde3-1ea311eac3fd", | 600 | "id": "37dcee18-4260-4806-bde3-1ea311eac3fd", | ||
| 560 | "name": "binary classification", | 601 | "name": "binary classification", | ||
| 561 | "state": "active", | 602 | "state": "active", | ||
| 562 | "vocabulary_id": null | 603 | "vocabulary_id": null | ||
| 563 | }, | 604 | }, | ||
| 564 | { | 605 | { | ||
| 565 | "display_name": "binary sensitive attributes", | 606 | "display_name": "binary sensitive attributes", | ||
| 566 | "id": "aab54737-58a5-4fc0-b847-110091064497", | 607 | "id": "aab54737-58a5-4fc0-b847-110091064497", | ||
| 567 | "name": "binary sensitive attributes", | 608 | "name": "binary sensitive attributes", | ||
| 568 | "state": "active", | 609 | "state": "active", | ||
| 569 | "vocabulary_id": null | 610 | "vocabulary_id": null | ||
| 570 | }, | 611 | }, | ||
| 571 | { | 612 | { | ||
| 572 | "display_name": "binary target variable", | 613 | "display_name": "binary target variable", | ||
| 573 | "id": "87aecace-6d06-4e32-be2a-bd261d6bb458", | 614 | "id": "87aecace-6d06-4e32-be2a-bd261d6bb458", | ||
| 574 | "name": "binary target variable", | 615 | "name": "binary target variable", | ||
| 575 | "state": "active", | 616 | "state": "active", | ||
| 576 | "vocabulary_id": null | 617 | "vocabulary_id": null | ||
| 577 | }, | 618 | }, | ||
| 578 | { | 619 | { | ||
| 579 | "display_name": "census data", | 620 | "display_name": "census data", | ||
| 580 | "id": "660b0b21-b2f7-4b53-a84c-366cbb9d28bd", | 621 | "id": "660b0b21-b2f7-4b53-a84c-366cbb9d28bd", | ||
| 581 | "name": "census data", | 622 | "name": "census data", | ||
| 582 | "state": "active", | 623 | "state": "active", | ||
| 583 | "vocabulary_id": null | 624 | "vocabulary_id": null | ||
| 584 | }, | 625 | }, | ||
| 585 | { | 626 | { | ||
| 586 | "display_name": "classification", | 627 | "display_name": "classification", | ||
| 587 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | 628 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | ||
| 588 | "name": "classification", | 629 | "name": "classification", | ||
| 589 | "state": "active", | 630 | "state": "active", | ||
| 590 | "vocabulary_id": null | 631 | "vocabulary_id": null | ||
| 591 | }, | 632 | }, | ||
| 592 | { | 633 | { | ||
| 593 | "display_name": "classi\ufb01cation", | 634 | "display_name": "classi\ufb01cation", | ||
| 594 | "id": "9c2660df-c278-4cf0-9bf3-bd90b1f97b8c", | 635 | "id": "9c2660df-c278-4cf0-9bf3-bd90b1f97b8c", | ||
| 595 | "name": "classi\ufb01cation", | 636 | "name": "classi\ufb01cation", | ||
| 596 | "state": "active", | 637 | "state": "active", | ||
| 597 | "vocabulary_id": null | 638 | "vocabulary_id": null | ||
| 598 | }, | 639 | }, | ||
| 599 | { | 640 | { | ||
| 600 | "display_name": "credit risk assessment", | 641 | "display_name": "credit risk assessment", | ||
| 601 | "id": "12f12267-0a4d-4d14-b625-8b1f3eafaf79", | 642 | "id": "12f12267-0a4d-4d14-b625-8b1f3eafaf79", | ||
| 602 | "name": "credit risk assessment", | 643 | "name": "credit risk assessment", | ||
| 603 | "state": "active", | 644 | "state": "active", | ||
| 604 | "vocabulary_id": null | 645 | "vocabulary_id": null | ||
| 605 | }, | 646 | }, | ||
| 606 | { | 647 | { | ||
| 607 | "display_name": "credit score", | 648 | "display_name": "credit score", | ||
| 608 | "id": "123da3dd-e46d-4706-87d0-96ef1caa4215", | 649 | "id": "123da3dd-e46d-4706-87d0-96ef1caa4215", | ||
| 609 | "name": "credit score", | 650 | "name": "credit score", | ||
| 610 | "state": "active", | 651 | "state": "active", | ||
| 611 | "vocabulary_id": null | 652 | "vocabulary_id": null | ||
| 612 | }, | 653 | }, | ||
| 613 | { | 654 | { | ||
| 614 | "display_name": "dataset", | 655 | "display_name": "dataset", | ||
| 615 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | 656 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | ||
| 616 | "name": "dataset", | 657 | "name": "dataset", | ||
| 617 | "state": "active", | 658 | "state": "active", | ||
| 618 | "vocabulary_id": null | 659 | "vocabulary_id": null | ||
| 619 | }, | 660 | }, | ||
| 620 | { | 661 | { | ||
| 621 | "display_name": "demographic data", | 662 | "display_name": "demographic data", | ||
| 622 | "id": "0f22a0da-b9fc-4422-b3be-486e712d039b", | 663 | "id": "0f22a0da-b9fc-4422-b3be-486e712d039b", | ||
| 623 | "name": "demographic data", | 664 | "name": "demographic data", | ||
| 624 | "state": "active", | 665 | "state": "active", | ||
| 625 | "vocabulary_id": null | 666 | "vocabulary_id": null | ||
| 626 | }, | 667 | }, | ||
| 627 | { | 668 | { | ||
| 628 | "display_name": "demographic factors", | 669 | "display_name": "demographic factors", | ||
| 629 | "id": "0c0427c4-c7e1-41ab-80bc-3a73207664c9", | 670 | "id": "0c0427c4-c7e1-41ab-80bc-3a73207664c9", | ||
| 630 | "name": "demographic factors", | 671 | "name": "demographic factors", | ||
| 631 | "state": "active", | 672 | "state": "active", | ||
| 632 | "vocabulary_id": null | 673 | "vocabulary_id": null | ||
| 633 | }, | 674 | }, | ||
| 634 | { | 675 | { | ||
| 635 | "display_name": "demographics", | 676 | "display_name": "demographics", | ||
| 636 | "id": "d79fff9e-a231-4b1b-a715-4ed670b9f8a4", | 677 | "id": "d79fff9e-a231-4b1b-a715-4ed670b9f8a4", | ||
| 637 | "name": "demographics", | 678 | "name": "demographics", | ||
| 638 | "state": "active", | 679 | "state": "active", | ||
| 639 | "vocabulary_id": null | 680 | "vocabulary_id": null | ||
| 640 | }, | 681 | }, | ||
| 641 | { | 682 | { | ||
| 642 | "display_name": "economics", | 683 | "display_name": "economics", | ||
| 643 | "id": "5d82f5e6-2a12-4321-ad84-bdd620ca854c", | 684 | "id": "5d82f5e6-2a12-4321-ad84-bdd620ca854c", | ||
| 644 | "name": "economics", | 685 | "name": "economics", | ||
| 645 | "state": "active", | 686 | "state": "active", | ||
| 646 | "vocabulary_id": null | 687 | "vocabulary_id": null | ||
| 647 | }, | 688 | }, | ||
| 648 | { | 689 | { | ||
| 649 | "display_name": "education level", | 690 | "display_name": "education level", | ||
| 650 | "id": "cb48e64c-08f6-46aa-8ae4-dfc691dd123d", | 691 | "id": "cb48e64c-08f6-46aa-8ae4-dfc691dd123d", | ||
| 651 | "name": "education level", | 692 | "name": "education level", | ||
| 652 | "state": "active", | 693 | "state": "active", | ||
| 653 | "vocabulary_id": null | 694 | "vocabulary_id": null | ||
| 654 | }, | 695 | }, | ||
| 655 | { | 696 | { | ||
| 656 | "display_name": "employment", | 697 | "display_name": "employment", | ||
| 657 | "id": "3e263cee-a72d-46d1-a8d3-b75337421487", | 698 | "id": "3e263cee-a72d-46d1-a8d3-b75337421487", | ||
| 658 | "name": "employment", | 699 | "name": "employment", | ||
| 659 | "state": "active", | 700 | "state": "active", | ||
| 660 | "vocabulary_id": null | 701 | "vocabulary_id": null | ||
| 661 | }, | 702 | }, | ||
| 662 | { | 703 | { | ||
| 663 | "display_name": "fairness", | 704 | "display_name": "fairness", | ||
| 664 | "id": "efd96587-4c0f-439f-8b75-152811b57aa9", | 705 | "id": "efd96587-4c0f-439f-8b75-152811b57aa9", | ||
| 665 | "name": "fairness", | 706 | "name": "fairness", | ||
| 666 | "state": "active", | 707 | "state": "active", | ||
| 667 | "vocabulary_id": null | 708 | "vocabulary_id": null | ||
| 668 | }, | 709 | }, | ||
| 669 | { | 710 | { | ||
| 670 | "display_name": "fairness in machine learning", | 711 | "display_name": "fairness in machine learning", | ||
| 671 | "id": "ea26cbba-5ef1-4390-83fe-1fabd94351de", | 712 | "id": "ea26cbba-5ef1-4390-83fe-1fabd94351de", | ||
| 672 | "name": "fairness in machine learning", | 713 | "name": "fairness in machine learning", | ||
| 673 | "state": "active", | 714 | "state": "active", | ||
| 674 | "vocabulary_id": null | 715 | "vocabulary_id": null | ||
| 675 | }, | 716 | }, | ||
| 676 | { | 717 | { | ||
| 677 | "display_name": "gender", | 718 | "display_name": "gender", | ||
| 678 | "id": "af90adbe-d62d-4309-ba7b-132696a7db64", | 719 | "id": "af90adbe-d62d-4309-ba7b-132696a7db64", | ||
| 679 | "name": "gender", | 720 | "name": "gender", | ||
| 680 | "state": "active", | 721 | "state": "active", | ||
| 681 | "vocabulary_id": null | 722 | "vocabulary_id": null | ||
| 682 | }, | 723 | }, | ||
| 683 | { | 724 | { | ||
| 684 | "display_name": "income", | 725 | "display_name": "income", | ||
| 685 | "id": "dba37f5e-54b2-4e23-8860-21f1926b7f4c", | 726 | "id": "dba37f5e-54b2-4e23-8860-21f1926b7f4c", | ||
| 686 | "name": "income", | 727 | "name": "income", | ||
| 687 | "state": "active", | 728 | "state": "active", | ||
| 688 | "vocabulary_id": null | 729 | "vocabulary_id": null | ||
| 689 | }, | 730 | }, | ||
| 690 | { | 731 | { | ||
| 691 | "display_name": "income prediction", | 732 | "display_name": "income prediction", | ||
| 692 | "id": "a8182b67-2554-49e9-8c3c-6c1341a887ef", | 733 | "id": "a8182b67-2554-49e9-8c3c-6c1341a887ef", | ||
| 693 | "name": "income prediction", | 734 | "name": "income prediction", | ||
| 694 | "state": "active", | 735 | "state": "active", | ||
| 695 | "vocabulary_id": null | 736 | "vocabulary_id": null | ||
| 696 | }, | 737 | }, | ||
| 697 | { | 738 | { | ||
| 698 | "display_name": "job applicants", | 739 | "display_name": "job applicants", | ||
| 699 | "id": "9e1823e2-eb5e-4ac6-a1cc-2d332abefdb1", | 740 | "id": "9e1823e2-eb5e-4ac6-a1cc-2d332abefdb1", | ||
| 700 | "name": "job applicants", | 741 | "name": "job applicants", | ||
| 701 | "state": "active", | 742 | "state": "active", | ||
| 702 | "vocabulary_id": null | 743 | "vocabulary_id": null | ||
| 703 | }, | 744 | }, | ||
| 704 | { | 745 | { | ||
| 705 | "display_name": "machine learning", | 746 | "display_name": "machine learning", | ||
| 706 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 747 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
| 707 | "name": "machine learning", | 748 | "name": "machine learning", | ||
| 708 | "state": "active", | 749 | "state": "active", | ||
| 709 | "vocabulary_id": null | 750 | "vocabulary_id": null | ||
| 710 | }, | 751 | }, | ||
| 711 | { | 752 | { | ||
| 712 | "display_name": "multivariate data", | 753 | "display_name": "multivariate data", | ||
| 713 | "id": "69d77303-3af7-473e-8073-601663f1db3e", | 754 | "id": "69d77303-3af7-473e-8073-601663f1db3e", | ||
| 714 | "name": "multivariate data", | 755 | "name": "multivariate data", | ||
| 715 | "state": "active", | 756 | "state": "active", | ||
| 716 | "vocabulary_id": null | 757 | "vocabulary_id": null | ||
| 717 | }, | 758 | }, | ||
| 718 | { | 759 | { | ||
| 719 | "display_name": "occupation", | 760 | "display_name": "occupation", | ||
| 720 | "id": "57e0c758-eede-4d6b-ab24-aee71561907e", | 761 | "id": "57e0c758-eede-4d6b-ab24-aee71561907e", | ||
| 721 | "name": "occupation", | 762 | "name": "occupation", | ||
| 722 | "state": "active", | 763 | "state": "active", | ||
| 723 | "vocabulary_id": null | 764 | "vocabulary_id": null | ||
| 724 | }, | 765 | }, | ||
| 725 | { | 766 | { | ||
| 726 | "display_name": "race", | 767 | "display_name": "race", | ||
| 727 | "id": "e5a5b6af-b759-43c1-a303-8cb54c5fc86e", | 768 | "id": "e5a5b6af-b759-43c1-a303-8cb54c5fc86e", | ||
| 728 | "name": "race", | 769 | "name": "race", | ||
| 729 | "state": "active", | 770 | "state": "active", | ||
| 730 | "vocabulary_id": null | 771 | "vocabulary_id": null | ||
| 731 | }, | 772 | }, | ||
| 732 | { | 773 | { | ||
| 733 | "display_name": "self-selection", | 774 | "display_name": "self-selection", | ||
| 734 | "id": "1cd70b0a-bc0e-4a1d-a4b4-aab3ac6fd077", | 775 | "id": "1cd70b0a-bc0e-4a1d-a4b4-aab3ac6fd077", | ||
| 735 | "name": "self-selection", | 776 | "name": "self-selection", | ||
| 736 | "state": "active", | 777 | "state": "active", | ||
| 737 | "vocabulary_id": null | 778 | "vocabulary_id": null | ||
| 738 | }, | 779 | }, | ||
| 739 | { | 780 | { | ||
| 740 | "display_name": "sex", | 781 | "display_name": "sex", | ||
| 741 | "id": "8bf84995-886e-4510-95dc-fefd2ac625ec", | 782 | "id": "8bf84995-886e-4510-95dc-fefd2ac625ec", | ||
| 742 | "name": "sex", | 783 | "name": "sex", | ||
| 743 | "state": "active", | 784 | "state": "active", | ||
| 744 | "vocabulary_id": null | 785 | "vocabulary_id": null | ||
| 745 | } | 786 | } | ||
| 746 | ], | 787 | ], | ||
| 747 | "title": "Adult dataset", | 788 | "title": "Adult dataset", | ||
| 748 | "type": "dataset", | 789 | "type": "dataset", | ||
| 749 | "version": "" | 790 | "version": "" | ||
| 750 | } | 791 | } |