Add system-level metadata to Croissant
Browse files- croissant.json +596 -369
- util/croissant.py +111 -27
- util/jsonl2json.sh +0 -4
- util/validate.py +34 -16
- util/yml2json.sh +7 -0
croissant.json
CHANGED
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@@ -49,7 +49,7 @@
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"description": "ELCC is a collection of emergent language corpora with accompanying metadata and analyses.",
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"conformsTo": "http://mlcommons.org/croissant/1.0",
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"citeAs": "@misc{boldt2024elcc,\n title = \"{ELCC}: the Emergent Language Corpus Collection\",\n author = \"Brendon Boldt and David Mortensen\",\n year = 2024,\n url = \"https://huggingface.co/datasets/bboldt/elcc\",\n}",
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-
"datePublished": "2024-06-
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"keywords": [
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"emergent communication",
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"emergent language",
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"distribution": [
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{
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"@type": "cr:FileObject",
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"name": "
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"contentUrl": "https://huggingface.co/datasets/bboldt/elcc/",
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"encodingFormat": "git+https",
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| 550 |
{
|
| 551 |
"@type": "cr:FileObject",
|
| 552 |
-
"@id": "
|
| 553 |
-
"name": "
|
| 554 |
"containedIn": {
|
| 555 |
-
"@id": "
|
| 556 |
},
|
| 557 |
-
"contentUrl": "
|
| 558 |
"encodingFormat": "application/json"
|
| 559 |
},
|
| 560 |
{
|
| 561 |
"@type": "cr:FileObject",
|
| 562 |
-
"@id": "
|
| 563 |
-
"name": "
|
| 564 |
"containedIn": {
|
| 565 |
-
"@id": "
|
| 566 |
},
|
| 567 |
-
"contentUrl": "
|
| 568 |
"encodingFormat": "application/json"
|
| 569 |
},
|
| 570 |
{
|
| 571 |
"@type": "cr:FileObject",
|
| 572 |
-
"@id": "
|
| 573 |
-
"name": "
|
| 574 |
"containedIn": {
|
| 575 |
-
"@id": "
|
| 576 |
},
|
| 577 |
-
"contentUrl": "
|
| 578 |
"encodingFormat": "application/json"
|
| 579 |
},
|
| 580 |
{
|
| 581 |
"@type": "cr:FileObject",
|
| 582 |
-
"@id": "
|
| 583 |
-
"name": "
|
| 584 |
"containedIn": {
|
| 585 |
-
"@id": "
|
| 586 |
},
|
| 587 |
-
"contentUrl": "
|
| 588 |
"encodingFormat": "application/json"
|
| 589 |
},
|
| 590 |
{
|
| 591 |
"@type": "cr:FileObject",
|
| 592 |
-
"@id": "
|
| 593 |
-
"name": "
|
| 594 |
"containedIn": {
|
| 595 |
-
"@id": "
|
| 596 |
},
|
| 597 |
-
"contentUrl": "
|
| 598 |
"encodingFormat": "application/json"
|
| 599 |
},
|
| 600 |
{
|
| 601 |
"@type": "cr:FileObject",
|
| 602 |
-
"@id": "
|
| 603 |
-
"name": "
|
| 604 |
"containedIn": {
|
| 605 |
-
"@id": "
|
| 606 |
},
|
| 607 |
-
"contentUrl": "
|
| 608 |
"encodingFormat": "application/json"
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"@type": "cr:FileObject",
|
| 612 |
-
"@id": "
|
| 613 |
-
"name": "
|
| 614 |
"containedIn": {
|
| 615 |
-
"@id": "
|
| 616 |
},
|
| 617 |
-
"contentUrl": "
|
| 618 |
"encodingFormat": "application/json"
|
| 619 |
},
|
| 620 |
{
|
| 621 |
"@type": "cr:FileObject",
|
| 622 |
-
"@id": "
|
| 623 |
-
"name": "
|
| 624 |
"containedIn": {
|
| 625 |
-
"@id": "
|
| 626 |
},
|
| 627 |
-
"contentUrl": "
|
| 628 |
"encodingFormat": "application/json"
|
| 629 |
},
|
| 630 |
{
|
| 631 |
"@type": "cr:FileObject",
|
| 632 |
-
"@id": "
|
| 633 |
-
"name": "
|
| 634 |
"containedIn": {
|
| 635 |
-
"@id": "
|
| 636 |
},
|
| 637 |
-
"contentUrl": "
|
| 638 |
"encodingFormat": "application/json"
|
| 639 |
},
|
| 640 |
{
|
| 641 |
"@type": "cr:FileObject",
|
| 642 |
-
"@id": "
|
| 643 |
-
"name": "
|
| 644 |
"containedIn": {
|
| 645 |
-
"@id": "
|
| 646 |
},
|
| 647 |
-
"contentUrl": "
|
| 648 |
"encodingFormat": "application/json"
|
| 649 |
},
|
| 650 |
{
|
| 651 |
"@type": "cr:FileObject",
|
| 652 |
-
"@id": "
|
| 653 |
-
"name": "
|
| 654 |
"containedIn": {
|
| 655 |
-
"@id": "
|
| 656 |
},
|
| 657 |
-
"contentUrl": "
|
| 658 |
"encodingFormat": "application/json"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"@type": "cr:FileObject",
|
| 662 |
-
"@id": "
|
| 663 |
-
"name": "
|
| 664 |
"containedIn": {
|
| 665 |
-
"@id": "
|
| 666 |
},
|
| 667 |
-
"contentUrl": "
|
| 668 |
"encodingFormat": "application/json"
|
| 669 |
},
|
| 670 |
{
|
| 671 |
"@type": "cr:FileObject",
|
| 672 |
-
"@id": "
|
| 673 |
-
"name": "
|
| 674 |
"containedIn": {
|
| 675 |
-
"@id": "
|
| 676 |
},
|
| 677 |
-
"contentUrl": "
|
| 678 |
"encodingFormat": "application/json"
|
| 679 |
},
|
| 680 |
{
|
| 681 |
"@type": "cr:FileObject",
|
| 682 |
-
"@id": "
|
| 683 |
-
"name": "
|
| 684 |
"containedIn": {
|
| 685 |
-
"@id": "
|
| 686 |
},
|
| 687 |
-
"contentUrl": "
|
| 688 |
"encodingFormat": "application/json"
|
| 689 |
},
|
| 690 |
{
|
| 691 |
"@type": "cr:FileObject",
|
| 692 |
-
"@id": "
|
| 693 |
-
"name": "
|
| 694 |
"containedIn": {
|
| 695 |
-
"@id": "
|
| 696 |
},
|
| 697 |
-
"contentUrl": "
|
| 698 |
"encodingFormat": "application/json"
|
| 699 |
},
|
| 700 |
{
|
| 701 |
"@type": "cr:FileObject",
|
| 702 |
-
"@id": "
|
| 703 |
-
"name": "
|
| 704 |
"containedIn": {
|
| 705 |
-
"@id": "
|
| 706 |
},
|
| 707 |
-
"contentUrl": "
|
| 708 |
"encodingFormat": "application/json"
|
| 709 |
},
|
| 710 |
{
|
| 711 |
"@type": "cr:FileObject",
|
| 712 |
-
"@id": "
|
| 713 |
-
"name": "
|
| 714 |
"containedIn": {
|
| 715 |
-
"@id": "
|
| 716 |
},
|
| 717 |
-
"contentUrl": "
|
| 718 |
"encodingFormat": "application/json"
|
| 719 |
},
|
| 720 |
{
|
| 721 |
"@type": "cr:FileObject",
|
| 722 |
-
"@id": "
|
| 723 |
-
"name": "
|
| 724 |
"containedIn": {
|
| 725 |
-
"@id": "
|
| 726 |
},
|
| 727 |
-
"contentUrl": "
|
| 728 |
"encodingFormat": "application/json"
|
| 729 |
},
|
| 730 |
{
|
| 731 |
"@type": "cr:FileObject",
|
| 732 |
-
"@id": "
|
| 733 |
-
"name": "
|
| 734 |
"containedIn": {
|
| 735 |
-
"@id": "
|
| 736 |
},
|
| 737 |
-
"contentUrl": "
|
| 738 |
"encodingFormat": "application/json"
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"@type": "cr:FileObject",
|
| 742 |
-
"@id": "
|
| 743 |
-
"name": "
|
| 744 |
"containedIn": {
|
| 745 |
-
"@id": "
|
| 746 |
},
|
| 747 |
-
"contentUrl": "
|
| 748 |
"encodingFormat": "application/json"
|
| 749 |
},
|
| 750 |
{
|
| 751 |
"@type": "cr:FileObject",
|
| 752 |
-
"@id": "
|
| 753 |
-
"name": "
|
| 754 |
"containedIn": {
|
| 755 |
-
"@id": "
|
| 756 |
},
|
| 757 |
-
"contentUrl": "
|
| 758 |
"encodingFormat": "application/json"
|
| 759 |
},
|
| 760 |
{
|
| 761 |
"@type": "cr:FileObject",
|
| 762 |
-
"@id": "
|
| 763 |
-
"name": "
|
| 764 |
"containedIn": {
|
| 765 |
-
"@id": "
|
| 766 |
},
|
| 767 |
-
"contentUrl": "
|
| 768 |
"encodingFormat": "application/json"
|
| 769 |
},
|
| 770 |
{
|
| 771 |
"@type": "cr:FileObject",
|
| 772 |
-
"@id": "
|
| 773 |
-
"name": "
|
| 774 |
"containedIn": {
|
| 775 |
-
"@id": "
|
| 776 |
},
|
| 777 |
-
"contentUrl": "
|
| 778 |
"encodingFormat": "application/json"
|
| 779 |
},
|
| 780 |
{
|
| 781 |
"@type": "cr:FileObject",
|
| 782 |
-
"@id": "
|
| 783 |
-
"name": "
|
| 784 |
"containedIn": {
|
| 785 |
-
"@id": "
|
| 786 |
},
|
| 787 |
-
"contentUrl": "
|
| 788 |
"encodingFormat": "application/json"
|
| 789 |
},
|
| 790 |
{
|
| 791 |
"@type": "cr:FileObject",
|
| 792 |
-
"@id": "
|
| 793 |
-
"name": "
|
| 794 |
"containedIn": {
|
| 795 |
-
"@id": "
|
| 796 |
},
|
| 797 |
-
"contentUrl": "
|
| 798 |
"encodingFormat": "application/json"
|
| 799 |
}
|
| 800 |
],
|
| 801 |
"recordSet": [
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| 802 |
{
|
| 803 |
"@type": "cr:RecordSet",
|
| 804 |
"@id": "babyai-sr/GoToObj",
|
|
@@ -812,7 +1039,7 @@
|
|
| 812 |
"repeated": true,
|
| 813 |
"source": {
|
| 814 |
"fileObject": {
|
| 815 |
-
"@id": "
|
| 816 |
},
|
| 817 |
"extract": {
|
| 818 |
"jsonPath": "$[*]"
|
|
@@ -834,7 +1061,7 @@
|
|
| 834 |
"repeated": true,
|
| 835 |
"source": {
|
| 836 |
"fileObject": {
|
| 837 |
-
"@id": "
|
| 838 |
},
|
| 839 |
"extract": {
|
| 840 |
"jsonPath": "$[*]"
|
|
@@ -856,7 +1083,7 @@
|
|
| 856 |
"repeated": true,
|
| 857 |
"source": {
|
| 858 |
"fileObject": {
|
| 859 |
-
"@id": "
|
| 860 |
},
|
| 861 |
"extract": {
|
| 862 |
"jsonPath": "$[*]"
|
|
@@ -878,7 +1105,7 @@
|
|
| 878 |
"repeated": true,
|
| 879 |
"source": {
|
| 880 |
"fileObject": {
|
| 881 |
-
"@id": "
|
| 882 |
},
|
| 883 |
"extract": {
|
| 884 |
"jsonPath": "$[*]"
|
|
@@ -900,7 +1127,7 @@
|
|
| 900 |
"repeated": true,
|
| 901 |
"source": {
|
| 902 |
"fileObject": {
|
| 903 |
-
"@id": "
|
| 904 |
},
|
| 905 |
"extract": {
|
| 906 |
"jsonPath": "$[*]"
|
|
@@ -922,7 +1149,7 @@
|
|
| 922 |
"repeated": true,
|
| 923 |
"source": {
|
| 924 |
"fileObject": {
|
| 925 |
-
"@id": "
|
| 926 |
},
|
| 927 |
"extract": {
|
| 928 |
"jsonPath": "$[*]"
|
|
@@ -944,7 +1171,7 @@
|
|
| 944 |
"repeated": true,
|
| 945 |
"source": {
|
| 946 |
"fileObject": {
|
| 947 |
-
"@id": "
|
| 948 |
},
|
| 949 |
"extract": {
|
| 950 |
"jsonPath": "$[*]"
|
|
@@ -966,7 +1193,7 @@
|
|
| 966 |
"repeated": true,
|
| 967 |
"source": {
|
| 968 |
"fileObject": {
|
| 969 |
-
"@id": "
|
| 970 |
},
|
| 971 |
"extract": {
|
| 972 |
"jsonPath": "$[*]"
|
|
@@ -988,7 +1215,7 @@
|
|
| 988 |
"repeated": true,
|
| 989 |
"source": {
|
| 990 |
"fileObject": {
|
| 991 |
-
"@id": "
|
| 992 |
},
|
| 993 |
"extract": {
|
| 994 |
"jsonPath": "$[*]"
|
|
@@ -1010,7 +1237,7 @@
|
|
| 1010 |
"repeated": true,
|
| 1011 |
"source": {
|
| 1012 |
"fileObject": {
|
| 1013 |
-
"@id": "
|
| 1014 |
},
|
| 1015 |
"extract": {
|
| 1016 |
"jsonPath": "$[*]"
|
|
@@ -1032,7 +1259,7 @@
|
|
| 1032 |
"repeated": true,
|
| 1033 |
"source": {
|
| 1034 |
"fileObject": {
|
| 1035 |
-
"@id": "
|
| 1036 |
},
|
| 1037 |
"extract": {
|
| 1038 |
"jsonPath": "$[*]"
|
|
@@ -1054,7 +1281,7 @@
|
|
| 1054 |
"repeated": true,
|
| 1055 |
"source": {
|
| 1056 |
"fileObject": {
|
| 1057 |
-
"@id": "
|
| 1058 |
},
|
| 1059 |
"extract": {
|
| 1060 |
"jsonPath": "$[*]"
|
|
@@ -1076,7 +1303,7 @@
|
|
| 1076 |
"repeated": true,
|
| 1077 |
"source": {
|
| 1078 |
"fileObject": {
|
| 1079 |
-
"@id": "
|
| 1080 |
},
|
| 1081 |
"extract": {
|
| 1082 |
"jsonPath": "$[*]"
|
|
@@ -1098,7 +1325,7 @@
|
|
| 1098 |
"repeated": true,
|
| 1099 |
"source": {
|
| 1100 |
"fileObject": {
|
| 1101 |
-
"@id": "
|
| 1102 |
},
|
| 1103 |
"extract": {
|
| 1104 |
"jsonPath": "$[*]"
|
|
@@ -1120,7 +1347,7 @@
|
|
| 1120 |
"repeated": true,
|
| 1121 |
"source": {
|
| 1122 |
"fileObject": {
|
| 1123 |
-
"@id": "
|
| 1124 |
},
|
| 1125 |
"extract": {
|
| 1126 |
"jsonPath": "$[*]"
|
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"repeated": true,
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"repeated": true,
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"repeated": true,
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"source": {
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@@ -2330,7 +2557,7 @@
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"repeated": true,
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"source": {
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@@ -2352,7 +2579,7 @@
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"repeated": true,
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@@ -2396,7 +2623,7 @@
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"repeated": true,
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"extract": {
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|
|
|
| 49 |
"description": "ELCC is a collection of emergent language corpora with accompanying metadata and analyses.",
|
| 50 |
"conformsTo": "http://mlcommons.org/croissant/1.0",
|
| 51 |
"citeAs": "@misc{boldt2024elcc,\n title = \"{ELCC}: the Emergent Language Corpus Collection\",\n author = \"Brendon Boldt and David Mortensen\",\n year = 2024,\n url = \"https://huggingface.co/datasets/bboldt/elcc\",\n}",
|
| 52 |
+
"datePublished": "2024-06-13 04:19:49.007677+00:00",
|
| 53 |
"keywords": [
|
| 54 |
"emergent communication",
|
| 55 |
"emergent language",
|
|
|
|
| 61 |
"distribution": [
|
| 62 |
{
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| 63 |
"@type": "cr:FileObject",
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+
"@id": "repo",
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+
"name": "repo",
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| 66 |
"contentUrl": "https://huggingface.co/datasets/bboldt/elcc/",
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| 67 |
"encodingFormat": "git+https",
|
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"jsonPath": "$[*]"
|
|
|
|
| 1435 |
"repeated": true,
|
| 1436 |
"source": {
|
| 1437 |
"fileObject": {
|
| 1438 |
+
"@id": "systems/corpus-transfer-yao-et-al/data/cc/corpus.json"
|
| 1439 |
},
|
| 1440 |
"extract": {
|
| 1441 |
"jsonPath": "$[*]"
|
|
|
|
| 1457 |
"repeated": true,
|
| 1458 |
"source": {
|
| 1459 |
"fileObject": {
|
| 1460 |
+
"@id": "systems/corpus-transfer-yao-et-al/data/coco_2014/corpus.json"
|
| 1461 |
},
|
| 1462 |
"extract": {
|
| 1463 |
"jsonPath": "$[*]"
|
|
|
|
| 1479 |
"repeated": true,
|
| 1480 |
"source": {
|
| 1481 |
"fileObject": {
|
| 1482 |
+
"@id": "systems/ec-at-scale/data/imagenet-10x1/corpus.json"
|
| 1483 |
},
|
| 1484 |
"extract": {
|
| 1485 |
"jsonPath": "$[*]"
|
|
|
|
| 1501 |
"repeated": true,
|
| 1502 |
"source": {
|
| 1503 |
"fileObject": {
|
| 1504 |
+
"@id": "systems/ec-at-scale/data/imagenet-10x10/corpus.json"
|
| 1505 |
},
|
| 1506 |
"extract": {
|
| 1507 |
"jsonPath": "$[*]"
|
|
|
|
| 1523 |
"repeated": true,
|
| 1524 |
"source": {
|
| 1525 |
"fileObject": {
|
| 1526 |
+
"@id": "systems/ec-at-scale/data/imagenet-1x1/corpus.json"
|
| 1527 |
},
|
| 1528 |
"extract": {
|
| 1529 |
"jsonPath": "$[*]"
|
|
|
|
| 1545 |
"repeated": true,
|
| 1546 |
"source": {
|
| 1547 |
"fileObject": {
|
| 1548 |
+
"@id": "systems/ec-at-scale/data/imagenet-1x10/corpus.json"
|
| 1549 |
},
|
| 1550 |
"extract": {
|
| 1551 |
"jsonPath": "$[*]"
|
|
|
|
| 1567 |
"repeated": true,
|
| 1568 |
"source": {
|
| 1569 |
"fileObject": {
|
| 1570 |
+
"@id": "systems/ec-at-scale/data/imagenet-5x5/corpus.json"
|
| 1571 |
},
|
| 1572 |
"extract": {
|
| 1573 |
"jsonPath": "$[*]"
|
|
|
|
| 1589 |
"repeated": true,
|
| 1590 |
"source": {
|
| 1591 |
"fileObject": {
|
| 1592 |
+
"@id": "systems/egg-discrimination/data/4-attr_4-val_3-dist_0-seed/corpus.json"
|
| 1593 |
},
|
| 1594 |
"extract": {
|
| 1595 |
"jsonPath": "$[*]"
|
|
|
|
| 1611 |
"repeated": true,
|
| 1612 |
"source": {
|
| 1613 |
"fileObject": {
|
| 1614 |
+
"@id": "systems/egg-discrimination/data/4-attr_4-val_3-dist_1-seed/corpus.json"
|
| 1615 |
},
|
| 1616 |
"extract": {
|
| 1617 |
"jsonPath": "$[*]"
|
|
|
|
| 1633 |
"repeated": true,
|
| 1634 |
"source": {
|
| 1635 |
"fileObject": {
|
| 1636 |
+
"@id": "systems/egg-discrimination/data/4-attr_4-val_3-dist_2-seed/corpus.json"
|
| 1637 |
},
|
| 1638 |
"extract": {
|
| 1639 |
"jsonPath": "$[*]"
|
|
|
|
| 1655 |
"repeated": true,
|
| 1656 |
"source": {
|
| 1657 |
"fileObject": {
|
| 1658 |
+
"@id": "systems/egg-discrimination/data/6-attr_6-val_3-dist_0-seed/corpus.json"
|
| 1659 |
},
|
| 1660 |
"extract": {
|
| 1661 |
"jsonPath": "$[*]"
|
|
|
|
| 1677 |
"repeated": true,
|
| 1678 |
"source": {
|
| 1679 |
"fileObject": {
|
| 1680 |
+
"@id": "systems/egg-discrimination/data/6-attr_6-val_3-dist_1-seed/corpus.json"
|
| 1681 |
},
|
| 1682 |
"extract": {
|
| 1683 |
"jsonPath": "$[*]"
|
|
|
|
| 1699 |
"repeated": true,
|
| 1700 |
"source": {
|
| 1701 |
"fileObject": {
|
| 1702 |
+
"@id": "systems/egg-discrimination/data/6-attr_6-val_3-dist_2-seed/corpus.json"
|
| 1703 |
},
|
| 1704 |
"extract": {
|
| 1705 |
"jsonPath": "$[*]"
|
|
|
|
| 1721 |
"repeated": true,
|
| 1722 |
"source": {
|
| 1723 |
"fileObject": {
|
| 1724 |
+
"@id": "systems/egg-discrimination/data/6-attr_6-val_9-dist_0-seed/corpus.json"
|
| 1725 |
},
|
| 1726 |
"extract": {
|
| 1727 |
"jsonPath": "$[*]"
|
|
|
|
| 1743 |
"repeated": true,
|
| 1744 |
"source": {
|
| 1745 |
"fileObject": {
|
| 1746 |
+
"@id": "systems/egg-discrimination/data/6-attr_6-val_9-dist_1-seed/corpus.json"
|
| 1747 |
},
|
| 1748 |
"extract": {
|
| 1749 |
"jsonPath": "$[*]"
|
|
|
|
| 1765 |
"repeated": true,
|
| 1766 |
"source": {
|
| 1767 |
"fileObject": {
|
| 1768 |
+
"@id": "systems/egg-discrimination/data/6-attr_6-val_9-dist_2-seed/corpus.json"
|
| 1769 |
},
|
| 1770 |
"extract": {
|
| 1771 |
"jsonPath": "$[*]"
|
|
|
|
| 1787 |
"repeated": true,
|
| 1788 |
"source": {
|
| 1789 |
"fileObject": {
|
| 1790 |
+
"@id": "systems/egg-discrimination/data/8-attr_8-val_3-dist_0-seed/corpus.json"
|
| 1791 |
},
|
| 1792 |
"extract": {
|
| 1793 |
"jsonPath": "$[*]"
|
|
|
|
| 1809 |
"repeated": true,
|
| 1810 |
"source": {
|
| 1811 |
"fileObject": {
|
| 1812 |
+
"@id": "systems/egg-discrimination/data/8-attr_8-val_3-dist_1-seed/corpus.json"
|
| 1813 |
},
|
| 1814 |
"extract": {
|
| 1815 |
"jsonPath": "$[*]"
|
|
|
|
| 1831 |
"repeated": true,
|
| 1832 |
"source": {
|
| 1833 |
"fileObject": {
|
| 1834 |
+
"@id": "systems/egg-discrimination/data/8-attr_8-val_3-dist_2-seed/corpus.json"
|
| 1835 |
},
|
| 1836 |
"extract": {
|
| 1837 |
"jsonPath": "$[*]"
|
|
|
|
| 1853 |
"repeated": true,
|
| 1854 |
"source": {
|
| 1855 |
"fileObject": {
|
| 1856 |
+
"@id": "systems/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/corpus.json"
|
| 1857 |
},
|
| 1858 |
"extract": {
|
| 1859 |
"jsonPath": "$[*]"
|
|
|
|
| 1875 |
"repeated": true,
|
| 1876 |
"source": {
|
| 1877 |
"fileObject": {
|
| 1878 |
+
"@id": "systems/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/corpus.json"
|
| 1879 |
},
|
| 1880 |
"extract": {
|
| 1881 |
"jsonPath": "$[*]"
|
|
|
|
| 1897 |
"repeated": true,
|
| 1898 |
"source": {
|
| 1899 |
"fileObject": {
|
| 1900 |
+
"@id": "systems/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/corpus.json"
|
| 1901 |
},
|
| 1902 |
"extract": {
|
| 1903 |
"jsonPath": "$[*]"
|
|
|
|
| 1919 |
"repeated": true,
|
| 1920 |
"source": {
|
| 1921 |
"fileObject": {
|
| 1922 |
+
"@id": "systems/generalizations-mu-goodman/data/cub-concept/corpus.json"
|
| 1923 |
},
|
| 1924 |
"extract": {
|
| 1925 |
"jsonPath": "$[*]"
|
|
|
|
| 1941 |
"repeated": true,
|
| 1942 |
"source": {
|
| 1943 |
"fileObject": {
|
| 1944 |
+
"@id": "systems/generalizations-mu-goodman/data/cub-reference/corpus.json"
|
| 1945 |
},
|
| 1946 |
"extract": {
|
| 1947 |
"jsonPath": "$[*]"
|
|
|
|
| 1963 |
"repeated": true,
|
| 1964 |
"source": {
|
| 1965 |
"fileObject": {
|
| 1966 |
+
"@id": "systems/generalizations-mu-goodman/data/cub-set_reference/corpus.json"
|
| 1967 |
},
|
| 1968 |
"extract": {
|
| 1969 |
"jsonPath": "$[*]"
|
|
|
|
| 1985 |
"repeated": true,
|
| 1986 |
"source": {
|
| 1987 |
"fileObject": {
|
| 1988 |
+
"@id": "systems/generalizations-mu-goodman/data/shapeworld-concept/corpus.json"
|
| 1989 |
},
|
| 1990 |
"extract": {
|
| 1991 |
"jsonPath": "$[*]"
|
|
|
|
| 2007 |
"repeated": true,
|
| 2008 |
"source": {
|
| 2009 |
"fileObject": {
|
| 2010 |
+
"@id": "systems/generalizations-mu-goodman/data/shapeworld-reference/corpus.json"
|
| 2011 |
},
|
| 2012 |
"extract": {
|
| 2013 |
"jsonPath": "$[*]"
|
|
|
|
| 2029 |
"repeated": true,
|
| 2030 |
"source": {
|
| 2031 |
"fileObject": {
|
| 2032 |
+
"@id": "systems/generalizations-mu-goodman/data/shapeworld-set_reference/corpus.json"
|
| 2033 |
},
|
| 2034 |
"extract": {
|
| 2035 |
"jsonPath": "$[*]"
|
|
|
|
| 2051 |
"repeated": true,
|
| 2052 |
"source": {
|
| 2053 |
"fileObject": {
|
| 2054 |
+
"@id": "systems/nav-to-center/data/lexicon_size_11/corpus.json"
|
| 2055 |
},
|
| 2056 |
"extract": {
|
| 2057 |
"jsonPath": "$[*]"
|
|
|
|
| 2073 |
"repeated": true,
|
| 2074 |
"source": {
|
| 2075 |
"fileObject": {
|
| 2076 |
+
"@id": "systems/nav-to-center/data/lexicon_size_118/corpus.json"
|
| 2077 |
},
|
| 2078 |
"extract": {
|
| 2079 |
"jsonPath": "$[*]"
|
|
|
|
| 2095 |
"repeated": true,
|
| 2096 |
"source": {
|
| 2097 |
"fileObject": {
|
| 2098 |
+
"@id": "systems/nav-to-center/data/lexicon_size_17/corpus.json"
|
| 2099 |
},
|
| 2100 |
"extract": {
|
| 2101 |
"jsonPath": "$[*]"
|
|
|
|
| 2117 |
"repeated": true,
|
| 2118 |
"source": {
|
| 2119 |
"fileObject": {
|
| 2120 |
+
"@id": "systems/nav-to-center/data/lexicon_size_174/corpus.json"
|
| 2121 |
},
|
| 2122 |
"extract": {
|
| 2123 |
"jsonPath": "$[*]"
|
|
|
|
| 2139 |
"repeated": true,
|
| 2140 |
"source": {
|
| 2141 |
"fileObject": {
|
| 2142 |
+
"@id": "systems/nav-to-center/data/lexicon_size_25/corpus.json"
|
| 2143 |
},
|
| 2144 |
"extract": {
|
| 2145 |
"jsonPath": "$[*]"
|
|
|
|
| 2161 |
"repeated": true,
|
| 2162 |
"source": {
|
| 2163 |
"fileObject": {
|
| 2164 |
+
"@id": "systems/nav-to-center/data/lexicon_size_255/corpus.json"
|
| 2165 |
},
|
| 2166 |
"extract": {
|
| 2167 |
"jsonPath": "$[*]"
|
|
|
|
| 2183 |
"repeated": true,
|
| 2184 |
"source": {
|
| 2185 |
"fileObject": {
|
| 2186 |
+
"@id": "systems/nav-to-center/data/lexicon_size_37/corpus.json"
|
| 2187 |
},
|
| 2188 |
"extract": {
|
| 2189 |
"jsonPath": "$[*]"
|
|
|
|
| 2205 |
"repeated": true,
|
| 2206 |
"source": {
|
| 2207 |
"fileObject": {
|
| 2208 |
+
"@id": "systems/nav-to-center/data/lexicon_size_54/corpus.json"
|
| 2209 |
},
|
| 2210 |
"extract": {
|
| 2211 |
"jsonPath": "$[*]"
|
|
|
|
| 2227 |
"repeated": true,
|
| 2228 |
"source": {
|
| 2229 |
"fileObject": {
|
| 2230 |
+
"@id": "systems/nav-to-center/data/lexicon_size_7/corpus.json"
|
| 2231 |
},
|
| 2232 |
"extract": {
|
| 2233 |
"jsonPath": "$[*]"
|
|
|
|
| 2249 |
"repeated": true,
|
| 2250 |
"source": {
|
| 2251 |
"fileObject": {
|
| 2252 |
+
"@id": "systems/nav-to-center/data/lexicon_size_80/corpus.json"
|
| 2253 |
},
|
| 2254 |
"extract": {
|
| 2255 |
"jsonPath": "$[*]"
|
|
|
|
| 2271 |
"repeated": true,
|
| 2272 |
"source": {
|
| 2273 |
"fileObject": {
|
| 2274 |
+
"@id": "systems/nav-to-center/data/temperature_0.1/corpus.json"
|
| 2275 |
},
|
| 2276 |
"extract": {
|
| 2277 |
"jsonPath": "$[*]"
|
|
|
|
| 2293 |
"repeated": true,
|
| 2294 |
"source": {
|
| 2295 |
"fileObject": {
|
| 2296 |
+
"@id": "systems/nav-to-center/data/temperature_0.167/corpus.json"
|
| 2297 |
},
|
| 2298 |
"extract": {
|
| 2299 |
"jsonPath": "$[*]"
|
|
|
|
| 2315 |
"repeated": true,
|
| 2316 |
"source": {
|
| 2317 |
"fileObject": {
|
| 2318 |
+
"@id": "systems/nav-to-center/data/temperature_0.278/corpus.json"
|
| 2319 |
},
|
| 2320 |
"extract": {
|
| 2321 |
"jsonPath": "$[*]"
|
|
|
|
| 2337 |
"repeated": true,
|
| 2338 |
"source": {
|
| 2339 |
"fileObject": {
|
| 2340 |
+
"@id": "systems/nav-to-center/data/temperature_0.464/corpus.json"
|
| 2341 |
},
|
| 2342 |
"extract": {
|
| 2343 |
"jsonPath": "$[*]"
|
|
|
|
| 2359 |
"repeated": true,
|
| 2360 |
"source": {
|
| 2361 |
"fileObject": {
|
| 2362 |
+
"@id": "systems/nav-to-center/data/temperature_0.774/corpus.json"
|
| 2363 |
},
|
| 2364 |
"extract": {
|
| 2365 |
"jsonPath": "$[*]"
|
|
|
|
| 2381 |
"repeated": true,
|
| 2382 |
"source": {
|
| 2383 |
"fileObject": {
|
| 2384 |
+
"@id": "systems/nav-to-center/data/temperature_1.29/corpus.json"
|
| 2385 |
},
|
| 2386 |
"extract": {
|
| 2387 |
"jsonPath": "$[*]"
|
|
|
|
| 2403 |
"repeated": true,
|
| 2404 |
"source": {
|
| 2405 |
"fileObject": {
|
| 2406 |
+
"@id": "systems/nav-to-center/data/temperature_10/corpus.json"
|
| 2407 |
},
|
| 2408 |
"extract": {
|
| 2409 |
"jsonPath": "$[*]"
|
|
|
|
| 2425 |
"repeated": true,
|
| 2426 |
"source": {
|
| 2427 |
"fileObject": {
|
| 2428 |
+
"@id": "systems/nav-to-center/data/temperature_2.15/corpus.json"
|
| 2429 |
},
|
| 2430 |
"extract": {
|
| 2431 |
"jsonPath": "$[*]"
|
|
|
|
| 2447 |
"repeated": true,
|
| 2448 |
"source": {
|
| 2449 |
"fileObject": {
|
| 2450 |
+
"@id": "systems/nav-to-center/data/temperature_3.59/corpus.json"
|
| 2451 |
},
|
| 2452 |
"extract": {
|
| 2453 |
"jsonPath": "$[*]"
|
|
|
|
| 2469 |
"repeated": true,
|
| 2470 |
"source": {
|
| 2471 |
"fileObject": {
|
| 2472 |
+
"@id": "systems/nav-to-center/data/temperature_5.99/corpus.json"
|
| 2473 |
},
|
| 2474 |
"extract": {
|
| 2475 |
"jsonPath": "$[*]"
|
|
|
|
| 2491 |
"repeated": true,
|
| 2492 |
"source": {
|
| 2493 |
"fileObject": {
|
| 2494 |
+
"@id": "systems/rlupus/data/21-player.run-0/corpus.json"
|
| 2495 |
},
|
| 2496 |
"extract": {
|
| 2497 |
"jsonPath": "$[*]"
|
|
|
|
| 2513 |
"repeated": true,
|
| 2514 |
"source": {
|
| 2515 |
"fileObject": {
|
| 2516 |
+
"@id": "systems/rlupus/data/21-player.run-1/corpus.json"
|
| 2517 |
},
|
| 2518 |
"extract": {
|
| 2519 |
"jsonPath": "$[*]"
|
|
|
|
| 2535 |
"repeated": true,
|
| 2536 |
"source": {
|
| 2537 |
"fileObject": {
|
| 2538 |
+
"@id": "systems/rlupus/data/21-player.run-2/corpus.json"
|
| 2539 |
},
|
| 2540 |
"extract": {
|
| 2541 |
"jsonPath": "$[*]"
|
|
|
|
| 2557 |
"repeated": true,
|
| 2558 |
"source": {
|
| 2559 |
"fileObject": {
|
| 2560 |
+
"@id": "systems/rlupus/data/9-player.run-0/corpus.json"
|
| 2561 |
},
|
| 2562 |
"extract": {
|
| 2563 |
"jsonPath": "$[*]"
|
|
|
|
| 2579 |
"repeated": true,
|
| 2580 |
"source": {
|
| 2581 |
"fileObject": {
|
| 2582 |
+
"@id": "systems/rlupus/data/9-player.run-1/corpus.json"
|
| 2583 |
},
|
| 2584 |
"extract": {
|
| 2585 |
"jsonPath": "$[*]"
|
|
|
|
| 2601 |
"repeated": true,
|
| 2602 |
"source": {
|
| 2603 |
"fileObject": {
|
| 2604 |
+
"@id": "systems/rlupus/data/9-player.run-2/corpus.json"
|
| 2605 |
},
|
| 2606 |
"extract": {
|
| 2607 |
"jsonPath": "$[*]"
|
|
|
|
| 2623 |
"repeated": true,
|
| 2624 |
"source": {
|
| 2625 |
"fileObject": {
|
| 2626 |
+
"@id": "systems/rlupus/data/9-player.run-3/corpus.json"
|
| 2627 |
},
|
| 2628 |
"extract": {
|
| 2629 |
"jsonPath": "$[*]"
|
util/croissant.py
CHANGED
|
@@ -2,14 +2,37 @@ import json
|
|
| 2 |
from pathlib import Path
|
| 3 |
from textwrap import dedent
|
| 4 |
import datetime
|
|
|
|
|
|
|
|
|
|
| 5 |
|
|
|
|
| 6 |
import mlcroissant as mlc # type: ignore
|
| 7 |
|
|
|
|
| 8 |
|
| 9 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 10 |
name="ELCC",
|
| 11 |
description="ELCC is a collection of emergent language corpora with accompanying metadata and analyses.",
|
| 12 |
-
license="https://creativecommons.org/licenses/by/4.0/",
|
| 13 |
url="https://huggingface.co/datasets/bboldt/elcc/",
|
| 14 |
date_published=datetime.datetime.now(datetime.UTC),
|
| 15 |
cite_as=dedent(
|
|
@@ -23,39 +46,27 @@ metadata = mlc.Metadata(
|
|
| 23 |
),
|
| 24 |
version="0.1.0",
|
| 25 |
keywords=["emergent communication", "emergent language", "corpus"],
|
|
|
|
|
|
|
| 26 |
)
|
| 27 |
|
| 28 |
|
| 29 |
def insert_corpora(metadata: mlc.Metadata) -> None:
|
| 30 |
-
paths = sorted(list(Path("
|
| 31 |
-
|
| 32 |
-
dist: list[dict] = [
|
| 33 |
-
mlc.FileObject(
|
| 34 |
-
id="hf-repo",
|
| 35 |
-
name="hf-repo",
|
| 36 |
-
content_url="https://huggingface.co/datasets/bboldt/elcc/",
|
| 37 |
-
encoding_format="git+https",
|
| 38 |
-
sha256="main",
|
| 39 |
-
)
|
| 40 |
-
]
|
| 41 |
-
metadata.distribution = dist
|
| 42 |
-
record_sets: list[dict] = []
|
| 43 |
-
metadata.record_sets = record_sets
|
| 44 |
-
|
| 45 |
for path in paths:
|
| 46 |
comps = str(path).split("/")
|
| 47 |
name = f"{comps[-4]}/{comps[-2]}"
|
| 48 |
|
| 49 |
-
|
| 50 |
mlc.FileObject(
|
| 51 |
id=str(path),
|
| 52 |
name=str(path),
|
| 53 |
content_url=str(path),
|
| 54 |
encoding_format="application/json",
|
| 55 |
-
contained_in=["
|
| 56 |
)
|
| 57 |
)
|
| 58 |
-
record_sets.append(
|
| 59 |
mlc.RecordSet(
|
| 60 |
id=name,
|
| 61 |
name=name,
|
|
@@ -75,10 +86,81 @@ def insert_corpora(metadata: mlc.Metadata) -> None:
|
|
| 75 |
)
|
| 76 |
|
| 77 |
|
| 78 |
-
def
|
| 79 |
-
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
|
| 81 |
-
|
|
|
|
|
|
|
| 82 |
with open("croissant.json", "w") as fo:
|
| 83 |
d = metadata.to_json()
|
| 84 |
d["datePublished"] = str(d["datePublished"])
|
|
@@ -87,14 +169,16 @@ def main() -> None:
|
|
| 87 |
|
| 88 |
def test() -> None:
|
| 89 |
dataset = mlc.Dataset(jsonld="croissant.json")
|
| 90 |
-
records = dataset.records(record_set="babyai-sr/GoToObj")
|
|
|
|
| 91 |
|
| 92 |
for i, x in enumerate(records):
|
| 93 |
-
print(i, x
|
| 94 |
if i > 10:
|
| 95 |
-
break
|
|
|
|
| 96 |
|
| 97 |
|
| 98 |
if __name__ == "__main__":
|
| 99 |
-
|
| 100 |
test()
|
|
|
|
| 2 |
from pathlib import Path
|
| 3 |
from textwrap import dedent
|
| 4 |
import datetime
|
| 5 |
+
import functools
|
| 6 |
+
import types
|
| 7 |
+
import typing
|
| 8 |
|
| 9 |
+
import pydantic
|
| 10 |
import mlcroissant as mlc # type: ignore
|
| 11 |
|
| 12 |
+
from . import validate
|
| 13 |
|
| 14 |
+
_distribution: list[mlc.FileObject | mlc.FileSet] = [
|
| 15 |
+
mlc.FileObject(
|
| 16 |
+
id="repo",
|
| 17 |
+
name="repo",
|
| 18 |
+
content_url="https://huggingface.co/datasets/bboldt/elcc/",
|
| 19 |
+
encoding_format="git+https",
|
| 20 |
+
# sha256="main",
|
| 21 |
+
sha256="b3c660db198ddca4cf1de63a4dbb0ecb573d28a3",
|
| 22 |
+
),
|
| 23 |
+
mlc.FileSet(
|
| 24 |
+
id="system-metadata-files",
|
| 25 |
+
name="system-metadata-files",
|
| 26 |
+
contained_in=["repo"],
|
| 27 |
+
includes=["systems/*/system.json"],
|
| 28 |
+
encoding_format="application/json",
|
| 29 |
+
),
|
| 30 |
+
]
|
| 31 |
+
|
| 32 |
+
_metadata = mlc.Metadata(
|
| 33 |
name="ELCC",
|
| 34 |
description="ELCC is a collection of emergent language corpora with accompanying metadata and analyses.",
|
| 35 |
+
license=["https://creativecommons.org/licenses/by/4.0/"],
|
| 36 |
url="https://huggingface.co/datasets/bboldt/elcc/",
|
| 37 |
date_published=datetime.datetime.now(datetime.UTC),
|
| 38 |
cite_as=dedent(
|
|
|
|
| 46 |
),
|
| 47 |
version="0.1.0",
|
| 48 |
keywords=["emergent communication", "emergent language", "corpus"],
|
| 49 |
+
distribution=_distribution,
|
| 50 |
+
record_sets=[],
|
| 51 |
)
|
| 52 |
|
| 53 |
|
| 54 |
def insert_corpora(metadata: mlc.Metadata) -> None:
|
| 55 |
+
paths = sorted(list(Path("systems").glob("*/data/*/corpus.json")))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
for path in paths:
|
| 57 |
comps = str(path).split("/")
|
| 58 |
name = f"{comps[-4]}/{comps[-2]}"
|
| 59 |
|
| 60 |
+
metadata.distribution.append(
|
| 61 |
mlc.FileObject(
|
| 62 |
id=str(path),
|
| 63 |
name=str(path),
|
| 64 |
content_url=str(path),
|
| 65 |
encoding_format="application/json",
|
| 66 |
+
contained_in=["repo"],
|
| 67 |
)
|
| 68 |
)
|
| 69 |
+
metadata.record_sets.append(
|
| 70 |
mlc.RecordSet(
|
| 71 |
id=name,
|
| 72 |
name=name,
|
|
|
|
| 86 |
)
|
| 87 |
|
| 88 |
|
| 89 |
+
def make_system_field(base_name: str, typ: type | None) -> mlc.Field:
|
| 90 |
+
name = f"system-metadata/{base_name}"
|
| 91 |
+
jp = f"$.{base_name}"
|
| 92 |
+
|
| 93 |
+
type_map = [
|
| 94 |
+
(int, mlc.DataType.INTEGER),
|
| 95 |
+
(float, mlc.DataType.FLOAT),
|
| 96 |
+
(str, mlc.DataType.TEXT),
|
| 97 |
+
(bool, mlc.DataType.BOOL),
|
| 98 |
+
]
|
| 99 |
+
mlc_typ = None
|
| 100 |
+
for x, y in type_map:
|
| 101 |
+
if isinstance(typ, types.UnionType):
|
| 102 |
+
not_none = [x for x in typ.__args__ if not x == type(None)]
|
| 103 |
+
if len(typ.__args__) > 2 or len(not_none) != 1:
|
| 104 |
+
raise ValueError(f"Cannot handle {typ}")
|
| 105 |
+
typ = not_none[0]
|
| 106 |
+
elif isinstance(typ, typing._LiteralGenericAlias):
|
| 107 |
+
typ = type(typ.__args__[0])
|
| 108 |
+
elif base_name == "system.data_source":
|
| 109 |
+
typ = str
|
| 110 |
+
if issubclass(typ, x):
|
| 111 |
+
mlc_typ = y
|
| 112 |
+
break
|
| 113 |
+
if mlc_typ is None:
|
| 114 |
+
mlc_typ = mlc.DataType.TEXT
|
| 115 |
+
|
| 116 |
+
return mlc.Field(
|
| 117 |
+
id=name,
|
| 118 |
+
name=base_name,
|
| 119 |
+
data_types=[mlc_typ],
|
| 120 |
+
source=mlc.Source(
|
| 121 |
+
file_set="system-metadata-files",
|
| 122 |
+
extract=mlc.Extract(json_path=jp),
|
| 123 |
+
# extract=mlc.Extract(file_property="filename"),
|
| 124 |
+
),
|
| 125 |
+
)
|
| 126 |
+
|
| 127 |
+
|
| 128 |
+
def insert_system_md(metadata: mlc.Metadata) -> None:
|
| 129 |
+
fields = []
|
| 130 |
+
for k0, v0 in validate.SystemMetadata.model_fields.items():
|
| 131 |
+
assert v0.annotation is not None
|
| 132 |
+
if isinstance(v0.annotation, type) and issubclass(
|
| 133 |
+
v0.annotation, pydantic.BaseModel
|
| 134 |
+
):
|
| 135 |
+
# Only doing one level of nesting for now.
|
| 136 |
+
for k1, v1 in v0.annotation.model_fields.items():
|
| 137 |
+
if k1 == "variants":
|
| 138 |
+
continue
|
| 139 |
+
fields.append(make_system_field(f"{k0}.{k1}", v1.annotation))
|
| 140 |
+
else:
|
| 141 |
+
if k0 == "notes":
|
| 142 |
+
continue
|
| 143 |
+
fields.append(make_system_field(k0, v0.annotation))
|
| 144 |
+
|
| 145 |
+
metadata.record_sets.append(
|
| 146 |
+
mlc.RecordSet(
|
| 147 |
+
id="system-metadata",
|
| 148 |
+
name="system-metadata",
|
| 149 |
+
fields=fields,
|
| 150 |
+
)
|
| 151 |
+
)
|
| 152 |
+
|
| 153 |
+
|
| 154 |
+
@functools.cache
|
| 155 |
+
def get_metadata() -> mlc.Metadata:
|
| 156 |
+
insert_system_md(_metadata)
|
| 157 |
+
insert_corpora(_metadata)
|
| 158 |
+
return _metadata
|
| 159 |
+
|
| 160 |
|
| 161 |
+
def save_metadata() -> None:
|
| 162 |
+
metadata = get_metadata()
|
| 163 |
+
print(_metadata.issues.report())
|
| 164 |
with open("croissant.json", "w") as fo:
|
| 165 |
d = metadata.to_json()
|
| 166 |
d["datePublished"] = str(d["datePublished"])
|
|
|
|
| 169 |
|
| 170 |
def test() -> None:
|
| 171 |
dataset = mlc.Dataset(jsonld="croissant.json")
|
| 172 |
+
# records = dataset.records(record_set="babyai-sr/GoToObj")
|
| 173 |
+
records = dataset.records(record_set="system-metadata")
|
| 174 |
|
| 175 |
for i, x in enumerate(records):
|
| 176 |
+
print(i, x)
|
| 177 |
if i > 10:
|
| 178 |
+
# break
|
| 179 |
+
pass
|
| 180 |
|
| 181 |
|
| 182 |
if __name__ == "__main__":
|
| 183 |
+
save_metadata()
|
| 184 |
test()
|
util/jsonl2json.sh
CHANGED
|
@@ -5,7 +5,3 @@ shopt -s globstar
|
|
| 5 |
for x in **/corpus.jsonl; do
|
| 6 |
cat $x | jq -sc > ${x%jsonl}json;
|
| 7 |
done
|
| 8 |
-
|
| 9 |
-
for x in systems/*/metadata.yml; do
|
| 10 |
-
cat $x | yq -sc > ${x%yml}json;
|
| 11 |
-
done
|
|
|
|
| 5 |
for x in **/corpus.jsonl; do
|
| 6 |
cat $x | jq -sc > ${x%jsonl}json;
|
| 7 |
done
|
|
|
|
|
|
|
|
|
|
|
|
util/validate.py
CHANGED
|
@@ -7,7 +7,12 @@ import yaml # type: ignore
|
|
| 7 |
|
| 8 |
T = TypeVar("T")
|
| 9 |
|
| 10 |
-
logging.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
|
| 13 |
Url = str
|
|
@@ -18,15 +23,27 @@ class BaseModel(pydantic.BaseModel):
|
|
| 18 |
|
| 19 |
|
| 20 |
class OriginMetadata(BaseModel):
|
|
|
|
|
|
|
| 21 |
source: Url
|
| 22 |
"""Where the code is from."""
|
| 23 |
-
upstream_source:
|
| 24 |
"""The original implementation."""
|
| 25 |
-
paper:
|
| 26 |
"""The paper which introduces the system."""
|
| 27 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
|
| 29 |
-
|
|
|
|
| 30 |
game_type: Literal["signalling", "conversation", "navigation"]
|
| 31 |
observation_type: Literal["vector", "image"]
|
| 32 |
observation_continuous: bool
|
|
@@ -62,7 +79,7 @@ class SystemMetadata(BaseModel):
|
|
| 62 |
# Check that all variants on the filesystem are listed in the metadata.
|
| 63 |
for var in Path(path).glob("systems/*"):
|
| 64 |
if var.name not in v.keys():
|
| 65 |
-
|
| 66 |
f'Directory "{path}/data/{var}" found but not listed in metadata.'
|
| 67 |
)
|
| 68 |
return v # type: ignore
|
|
@@ -71,21 +88,21 @@ class SystemMetadata(BaseModel):
|
|
| 71 |
def validate_variant(_path: str) -> None:
|
| 72 |
path = Path(_path)
|
| 73 |
if not path.exists():
|
| 74 |
-
|
| 75 |
f"Variant {path.name} in metadata but not {path} does not exist."
|
| 76 |
)
|
| 77 |
return
|
| 78 |
corpus_path = path / "corpus.jsonl"
|
| 79 |
if not corpus_path.exists():
|
| 80 |
-
|
| 81 |
metadata_path = path / "metadata.json"
|
| 82 |
if not metadata_path.exists():
|
| 83 |
-
|
| 84 |
|
| 85 |
|
| 86 |
-
class
|
| 87 |
origin: OriginMetadata
|
| 88 |
-
system:
|
| 89 |
notes: str | None = None
|
| 90 |
|
| 91 |
|
|
@@ -93,19 +110,20 @@ def main() -> None:
|
|
| 93 |
paths = list(Path(".").glob("systems/*"))
|
| 94 |
for path in paths:
|
| 95 |
try:
|
| 96 |
-
md_path = path / "metadata.yml"
|
|
|
|
| 97 |
if not md_path.exists():
|
| 98 |
-
|
| 99 |
continue
|
| 100 |
with md_path.open() as fo:
|
| 101 |
raw = yaml.load(fo.read(), Loader=yaml.Loader)
|
| 102 |
if raw is None:
|
| 103 |
-
|
| 104 |
continue
|
| 105 |
-
|
| 106 |
except (yaml.parser.ParserError, pydantic.ValidationError) as e:
|
| 107 |
-
|
| 108 |
-
|
| 109 |
|
| 110 |
|
| 111 |
if __name__ == "__main__":
|
|
|
|
| 7 |
|
| 8 |
T = TypeVar("T")
|
| 9 |
|
| 10 |
+
logger = logging.getLogger(__name__)
|
| 11 |
+
handler = logging.StreamHandler()
|
| 12 |
+
formatter = logging.Formatter(logging.BASIC_FORMAT)
|
| 13 |
+
handler.setFormatter(formatter)
|
| 14 |
+
logger.addHandler(handler)
|
| 15 |
+
logger.setLevel(logging.INFO)
|
| 16 |
|
| 17 |
|
| 18 |
Url = str
|
|
|
|
| 23 |
|
| 24 |
|
| 25 |
class OriginMetadata(BaseModel):
|
| 26 |
+
name: str
|
| 27 |
+
"""Name of the ECS."""
|
| 28 |
source: Url
|
| 29 |
"""Where the code is from."""
|
| 30 |
+
upstream_source: None | Url
|
| 31 |
"""The original implementation."""
|
| 32 |
+
paper: None | Url
|
| 33 |
"""The paper which introduces the system."""
|
| 34 |
|
| 35 |
+
@pydantic.field_validator("name")
|
| 36 |
+
@classmethod
|
| 37 |
+
def check_name(cls, v: T, info: pydantic.ValidationInfo) -> T:
|
| 38 |
+
if not isinstance(v, str):
|
| 39 |
+
raise ValueError(f'Field "variants" must be a dict.')
|
| 40 |
+
if info.context and (path := info.context.get("path", None)):
|
| 41 |
+
if path.name != v:
|
| 42 |
+
logger.warning(f"{path} does not match metadata name {v}")
|
| 43 |
+
return v # type: ignore
|
| 44 |
|
| 45 |
+
|
| 46 |
+
class SystemSpecificMetadata(BaseModel):
|
| 47 |
game_type: Literal["signalling", "conversation", "navigation"]
|
| 48 |
observation_type: Literal["vector", "image"]
|
| 49 |
observation_continuous: bool
|
|
|
|
| 79 |
# Check that all variants on the filesystem are listed in the metadata.
|
| 80 |
for var in Path(path).glob("systems/*"):
|
| 81 |
if var.name not in v.keys():
|
| 82 |
+
logger.warning(
|
| 83 |
f'Directory "{path}/data/{var}" found but not listed in metadata.'
|
| 84 |
)
|
| 85 |
return v # type: ignore
|
|
|
|
| 88 |
def validate_variant(_path: str) -> None:
|
| 89 |
path = Path(_path)
|
| 90 |
if not path.exists():
|
| 91 |
+
logger.warning(
|
| 92 |
f"Variant {path.name} in metadata but not {path} does not exist."
|
| 93 |
)
|
| 94 |
return
|
| 95 |
corpus_path = path / "corpus.jsonl"
|
| 96 |
if not corpus_path.exists():
|
| 97 |
+
logger.warning(f"Corpus file {corpus_path} does not exist.")
|
| 98 |
metadata_path = path / "metadata.json"
|
| 99 |
if not metadata_path.exists():
|
| 100 |
+
logger.warning(f"Metadata file {metadata_path} does not exist.")
|
| 101 |
|
| 102 |
|
| 103 |
+
class SystemMetadata(BaseModel):
|
| 104 |
origin: OriginMetadata
|
| 105 |
+
system: SystemSpecificMetadata
|
| 106 |
notes: str | None = None
|
| 107 |
|
| 108 |
|
|
|
|
| 110 |
paths = list(Path(".").glob("systems/*"))
|
| 111 |
for path in paths:
|
| 112 |
try:
|
| 113 |
+
# md_path = path / "metadata.yml"
|
| 114 |
+
md_path = path / "system.json"
|
| 115 |
if not md_path.exists():
|
| 116 |
+
logger.warning(f'Missing metadata file at "{md_path}".')
|
| 117 |
continue
|
| 118 |
with md_path.open() as fo:
|
| 119 |
raw = yaml.load(fo.read(), Loader=yaml.Loader)
|
| 120 |
if raw is None:
|
| 121 |
+
logger.warning(f'"{md_path}" is empty.')
|
| 122 |
continue
|
| 123 |
+
SystemMetadata.model_validate(raw, context={"path": path})
|
| 124 |
except (yaml.parser.ParserError, pydantic.ValidationError) as e:
|
| 125 |
+
logger.warning(f'Path "{md_path}" failed validation with:\n{e}')
|
| 126 |
+
logger.info("Validation completed.")
|
| 127 |
|
| 128 |
|
| 129 |
if __name__ == "__main__":
|
util/yml2json.sh
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env bash
|
| 2 |
+
|
| 3 |
+
shopt -s globstar
|
| 4 |
+
|
| 5 |
+
for x in systems/*/metadata.yml; do
|
| 6 |
+
cat $x | yq --indent 2 > ${x%metadata.yml}system.json
|
| 7 |
+
done
|