File size: 391,057 Bytes
401e4f3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123 2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144 2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2169 2170 2171 2172 2173 2174 2175 2176 2177 2178 2179 2180 2181 2182 2183 2184 2185 2186 2187 2188 2189 2190 2191 2192 2193 2194 2195 2196 2197 2198 2199 2200 2201 2202 2203 2204 2205 2206 2207 2208 2209 2210 2211 2212 2213 2214 2215 2216 2217 2218 2219 2220 2221 2222 2223 2224 2225 2226 2227 2228 2229 2230 2231 2232 2233 2234 2235 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 2246 2247 2248 2249 2250 2251 2252 2253 2254 2255 2256 2257 2258 2259 2260 2261 2262 2263 2264 2265 2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277 2278 2279 2280 2281 2282 2283 2284 2285 2286 2287 2288 2289 2290 2291 2292 2293 2294 2295 2296 2297 2298 2299 2300 2301 2302 2303 2304 2305 2306 2307 2308 2309 2310 2311 2312 2313 2314 2315 2316 2317 2318 2319 2320 2321 2322 2323 2324 2325 2326 2327 2328 2329 2330 2331 2332 2333 2334 2335 2336 2337 2338 2339 2340 2341 2342 2343 2344 2345 2346 2347 2348 2349 2350 2351 2352 2353 2354 2355 2356 2357 2358 2359 2360 2361 2362 2363 2364 2365 2366 2367 2368 2369 2370 2371 2372 2373 2374 2375 2376 2377 2378 2379 2380 2381 2382 2383 2384 2385 2386 2387 2388 2389 2390 2391 2392 2393 2394 2395 2396 2397 2398 2399 2400 2401 2402 2403 2404 2405 2406 2407 2408 2409 2410 2411 2412 2413 2414 2415 2416 2417 2418 2419 2420 2421 2422 2423 2424 2425 2426 2427 2428 2429 2430 2431 2432 2433 2434 2435 2436 2437 2438 2439 2440 2441 2442 2443 2444 2445 2446 2447 2448 2449 2450 2451 2452 2453 2454 2455 2456 2457 2458 2459 2460 2461 2462 2463 2464 2465 2466 2467 2468 2469 2470 2471 2472 2473 2474 2475 2476 2477 2478 2479 2480 2481 2482 2483 2484 2485 2486 2487 2488 2489 2490 2491 2492 2493 2494 2495 2496 2497 2498 2499 2500 2501 2502 2503 2504 2505 2506 2507 2508 2509 2510 2511 2512 2513 2514 2515 2516 2517 2518 2519 2520 2521 2522 2523 2524 2525 2526 2527 2528 2529 2530 2531 2532 2533 2534 2535 2536 2537 2538 2539 2540 2541 2542 2543 2544 2545 2546 2547 2548 2549 2550 2551 2552 2553 2554 2555 2556 2557 2558 2559 2560 2561 2562 2563 2564 2565 2566 2567 2568 2569 2570 2571 2572 2573 2574 2575 2576 2577 2578 2579 2580 2581 2582 2583 2584 2585 2586 2587 2588 2589 2590 2591 2592 2593 2594 2595 2596 2597 2598 2599 2600 2601 2602 2603 2604 2605 2606 2607 2608 2609 2610 2611 2612 2613 2614 2615 2616 2617 2618 2619 2620 2621 2622 2623 2624 2625 2626 2627 2628 2629 2630 2631 2632 2633 2634 2635 2636 2637 2638 2639 2640 2641 2642 2643 2644 2645 2646 2647 2648 2649 2650 2651 2652 2653 2654 2655 2656 2657 2658 2659 2660 2661 2662 2663 2664 2665 2666 2667 2668 2669 2670 2671 2672 2673 2674 2675 2676 2677 2678 2679 2680 2681 2682 2683 2684 2685 2686 2687 2688 2689 2690 2691 2692 2693 2694 2695 2696 2697 2698 2699 2700 2701 2702 2703 2704 2705 2706 2707 2708 2709 2710 2711 2712 2713 2714 2715 2716 2717 2718 2719 2720 2721 2722 2723 2724 2725 2726 2727 2728 2729 2730 2731 2732 2733 2734 2735 2736 2737 2738 2739 2740 2741 2742 2743 2744 2745 2746 2747 2748 2749 2750 2751 2752 2753 2754 2755 2756 2757 2758 2759 2760 2761 2762 2763 2764 2765 2766 2767 2768 2769 2770 2771 2772 2773 2774 2775 2776 2777 2778 2779 2780 2781 2782 2783 2784 2785 2786 2787 2788 2789 2790 2791 2792 2793 2794 2795 2796 2797 2798 2799 2800 2801 2802 2803 2804 2805 2806 2807 2808 2809 2810 2811 2812 2813 2814 2815 2816 2817 2818 2819 2820 2821 2822 2823 2824 2825 2826 2827 2828 2829 2830 2831 2832 2833 2834 2835 2836 2837 2838 2839 2840 2841 2842 2843 2844 2845 2846 2847 2848 2849 2850 2851 2852 2853 2854 2855 2856 2857 2858 2859 2860 2861 2862 2863 2864 2865 2866 2867 2868 2869 2870 2871 2872 2873 2874 2875 2876 2877 2878 2879 2880 2881 2882 2883 2884 2885 2886 2887 2888 2889 2890 2891 2892 2893 2894 2895 2896 2897 2898 2899 2900 2901 2902 2903 2904 2905 2906 2907 2908 2909 2910 2911 2912 2913 2914 2915 2916 2917 2918 2919 2920 2921 2922 2923 2924 2925 2926 2927 2928 2929 2930 2931 2932 2933 2934 2935 2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 2950 2951 2952 2953 2954 2955 2956 2957 2958 2959 2960 2961 2962 2963 2964 2965 2966 2967 2968 2969 2970 2971 2972 2973 2974 2975 2976 2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2987 2988 2989 2990 2991 2992 2993 2994 2995 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 3023 3024 3025 3026 3027 3028 3029 3030 3031 3032 3033 3034 3035 3036 3037 3038 3039 3040 3041 3042 3043 3044 3045 3046 3047 3048 3049 3050 3051 3052 3053 3054 3055 3056 3057 3058 3059 3060 3061 3062 3063 3064 3065 3066 3067 3068 3069 3070 3071 3072 3073 3074 3075 3076 3077 3078 3079 3080 3081 3082 3083 3084 3085 3086 3087 3088 3089 3090 3091 3092 3093 3094 3095 3096 3097 3098 3099 3100 3101 3102 3103 3104 3105 3106 3107 3108 3109 3110 3111 3112 3113 3114 3115 3116 3117 3118 3119 3120 3121 3122 3123 3124 3125 3126 3127 3128 3129 3130 3131 3132 3133 3134 3135 3136 3137 3138 3139 3140 3141 3142 3143 3144 3145 3146 3147 3148 3149 3150 3151 3152 3153 3154 3155 3156 3157 3158 3159 3160 3161 3162 3163 3164 3165 3166 3167 3168 3169 3170 3171 3172 3173 3174 3175 3176 3177 3178 3179 3180 3181 3182 3183 3184 3185 3186 3187 3188 3189 3190 3191 3192 3193 3194 3195 3196 3197 3198 3199 3200 3201 3202 3203 3204 3205 3206 3207 3208 3209 3210 3211 3212 3213 3214 3215 3216 3217 3218 3219 3220 3221 3222 3223 3224 3225 3226 3227 3228 3229 3230 3231 3232 3233 3234 3235 3236 3237 3238 3239 3240 3241 3242 3243 3244 3245 3246 3247 3248 3249 3250 3251 3252 3253 3254 3255 3256 3257 3258 3259 3260 3261 3262 3263 3264 3265 3266 3267 3268 3269 3270 3271 3272 3273 3274 3275 3276 3277 3278 3279 3280 3281 3282 3283 3284 3285 3286 3287 3288 3289 3290 3291 3292 3293 3294 3295 3296 3297 3298 3299 3300 3301 3302 3303 3304 3305 3306 3307 3308 3309 3310 3311 3312 3313 3314 3315 3316 3317 3318 3319 3320 3321 3322 3323 3324 3325 3326 3327 3328 3329 3330 3331 3332 3333 3334 3335 3336 3337 3338 3339 3340 3341 3342 3343 3344 3345 3346 3347 3348 3349 3350 3351 3352 3353 3354 3355 3356 3357 3358 3359 3360 3361 3362 3363 3364 3365 3366 3367 3368 3369 3370 3371 3372 3373 3374 3375 3376 3377 3378 3379 3380 3381 3382 3383 3384 3385 3386 3387 3388 3389 3390 3391 3392 3393 3394 3395 3396 3397 3398 3399 3400 3401 3402 3403 3404 3405 3406 3407 3408 3409 3410 3411 3412 3413 3414 3415 3416 3417 3418 3419 3420 3421 3422 3423 3424 3425 3426 3427 3428 3429 3430 3431 3432 3433 3434 3435 3436 3437 3438 3439 3440 3441 3442 3443 3444 3445 3446 3447 3448 3449 3450 3451 3452 3453 3454 3455 3456 3457 3458 3459 3460 3461 3462 3463 3464 3465 3466 3467 3468 3469 3470 3471 3472 3473 3474 3475 3476 3477 3478 3479 3480 3481 3482 3483 3484 3485 3486 3487 3488 3489 3490 3491 3492 3493 3494 3495 3496 3497 3498 3499 3500 3501 3502 3503 3504 3505 3506 3507 3508 3509 3510 3511 3512 3513 3514 3515 3516 3517 3518 3519 3520 3521 3522 3523 3524 3525 3526 3527 3528 3529 3530 3531 3532 3533 3534 3535 3536 3537 3538 3539 3540 3541 3542 3543 3544 3545 3546 3547 3548 3549 3550 3551 3552 3553 3554 3555 3556 3557 3558 3559 3560 3561 3562 3563 3564 3565 3566 3567 3568 3569 3570 3571 3572 3573 3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 3592 3593 3594 3595 3596 3597 3598 3599 3600 3601 3602 3603 3604 3605 3606 3607 3608 3609 3610 3611 3612 3613 3614 3615 3616 3617 3618 3619 3620 3621 3622 3623 3624 3625 3626 3627 3628 3629 3630 3631 3632 3633 3634 3635 3636 3637 3638 3639 3640 3641 3642 3643 3644 3645 3646 3647 3648 3649 3650 3651 3652 3653 3654 3655 3656 3657 3658 3659 3660 3661 3662 3663 3664 3665 3666 3667 3668 3669 3670 3671 3672 3673 3674 3675 3676 3677 3678 3679 3680 3681 3682 3683 3684 3685 3686 3687 3688 3689 3690 3691 3692 3693 3694 3695 3696 3697 3698 3699 3700 3701 3702 3703 3704 3705 3706 3707 3708 3709 3710 3711 3712 3713 3714 3715 3716 3717 3718 3719 3720 3721 3722 3723 3724 3725 3726 3727 3728 3729 3730 3731 3732 3733 3734 3735 3736 3737 3738 3739 3740 3741 3742 3743 3744 3745 3746 3747 3748 3749 3750 3751 3752 3753 3754 3755 3756 3757 3758 3759 3760 3761 3762 3763 3764 3765 3766 3767 3768 3769 3770 3771 3772 3773 3774 3775 3776 3777 3778 3779 3780 3781 3782 3783 3784 3785 3786 3787 3788 3789 3790 3791 3792 3793 3794 3795 3796 3797 3798 3799 3800 3801 3802 3803 3804 3805 3806 3807 3808 3809 3810 3811 3812 3813 3814 3815 3816 3817 3818 3819 3820 3821 3822 3823 3824 3825 3826 3827 3828 3829 3830 3831 3832 3833 3834 3835 3836 3837 3838 3839 3840 3841 3842 3843 3844 3845 3846 3847 3848 3849 3850 3851 3852 3853 3854 3855 3856 3857 3858 3859 3860 3861 3862 3863 3864 3865 3866 3867 3868 3869 3870 3871 3872 3873 3874 3875 3876 3877 3878 3879 3880 3881 3882 3883 3884 3885 3886 3887 3888 3889 3890 3891 3892 3893 3894 3895 3896 3897 3898 3899 3900 3901 3902 3903 3904 3905 3906 3907 3908 3909 3910 3911 3912 3913 3914 3915 3916 3917 3918 3919 3920 3921 3922 3923 3924 3925 3926 3927 3928 3929 3930 3931 3932 3933 3934 3935 3936 3937 3938 3939 3940 3941 3942 3943 3944 3945 3946 3947 3948 3949 3950 3951 3952 3953 3954 3955 3956 3957 3958 3959 3960 3961 3962 3963 3964 3965 3966 3967 3968 3969 3970 3971 3972 3973 3974 3975 3976 3977 3978 3979 3980 3981 3982 3983 3984 3985 3986 3987 3988 3989 3990 3991 3992 3993 3994 3995 3996 3997 3998 3999 4000 4001 4002 4003 4004 4005 4006 4007 4008 4009 4010 4011 4012 4013 4014 4015 4016 4017 4018 4019 4020 4021 4022 4023 4024 4025 4026 4027 4028 4029 4030 4031 4032 4033 4034 4035 4036 4037 4038 4039 4040 4041 4042 4043 4044 4045 4046 4047 4048 4049 4050 4051 4052 4053 4054 4055 4056 4057 4058 4059 4060 4061 4062 4063 4064 4065 4066 4067 4068 4069 4070 4071 4072 4073 4074 4075 4076 4077 4078 4079 4080 4081 4082 4083 4084 4085 4086 4087 4088 4089 4090 4091 4092 4093 4094 4095 4096 4097 4098 4099 4100 4101 4102 4103 4104 4105 4106 4107 4108 4109 4110 4111 4112 4113 4114 4115 4116 4117 4118 4119 4120 4121 4122 4123 4124 4125 4126 4127 4128 4129 4130 4131 4132 4133 4134 4135 4136 4137 4138 4139 4140 4141 4142 4143 4144 4145 4146 4147 4148 4149 4150 4151 4152 4153 4154 4155 4156 4157 4158 4159 4160 4161 4162 4163 4164 4165 4166 4167 4168 4169 4170 4171 4172 4173 4174 4175 4176 4177 4178 4179 4180 4181 4182 4183 4184 4185 4186 4187 4188 4189 4190 4191 4192 4193 4194 4195 4196 4197 4198 4199 4200 4201 4202 4203 4204 4205 4206 4207 4208 4209 4210 4211 4212 4213 4214 4215 4216 4217 4218 4219 4220 4221 4222 4223 4224 4225 4226 4227 4228 4229 4230 4231 4232 4233 4234 4235 4236 4237 4238 4239 4240 4241 4242 4243 4244 4245 4246 4247 4248 4249 4250 4251 4252 4253 4254 4255 4256 4257 4258 4259 4260 4261 4262 4263 4264 4265 4266 4267 4268 4269 4270 4271 4272 4273 4274 4275 4276 4277 4278 4279 4280 4281 4282 4283 4284 4285 4286 4287 4288 4289 4290 4291 4292 4293 4294 4295 4296 4297 4298 4299 4300 4301 4302 4303 4304 4305 4306 4307 4308 4309 4310 4311 4312 4313 4314 4315 4316 4317 4318 4319 4320 4321 4322 4323 4324 4325 4326 4327 4328 4329 4330 4331 4332 4333 4334 4335 4336 4337 4338 4339 4340 4341 4342 4343 4344 4345 4346 4347 4348 4349 4350 4351 4352 4353 4354 4355 4356 4357 4358 4359 4360 4361 4362 4363 4364 4365 4366 4367 4368 4369 4370 4371 4372 4373 4374 4375 4376 4377 4378 4379 4380 4381 4382 4383 4384 4385 4386 4387 4388 4389 4390 4391 4392 4393 4394 4395 4396 4397 4398 4399 4400 4401 4402 4403 4404 4405 4406 4407 4408 4409 4410 4411 4412 4413 4414 4415 4416 4417 4418 4419 4420 4421 4422 4423 4424 4425 4426 4427 4428 4429 4430 4431 4432 4433 4434 4435 4436 4437 4438 4439 4440 4441 4442 4443 4444 4445 4446 4447 4448 4449 4450 4451 4452 4453 4454 4455 4456 4457 4458 4459 4460 4461 4462 4463 4464 4465 4466 4467 4468 4469 4470 4471 4472 4473 4474 4475 4476 4477 4478 4479 4480 4481 4482 4483 4484 4485 4486 4487 4488 4489 4490 4491 4492 4493 4494 4495 4496 4497 4498 4499 4500 4501 4502 4503 4504 4505 4506 4507 4508 4509 4510 4511 4512 4513 4514 4515 4516 4517 4518 4519 4520 4521 4522 4523 4524 4525 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4537 4538 4539 4540 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554 4555 4556 4557 4558 4559 4560 4561 4562 4563 4564 4565 4566 4567 4568 4569 4570 4571 4572 4573 4574 4575 4576 4577 4578 4579 4580 4581 4582 4583 4584 4585 4586 4587 4588 4589 4590 4591 4592 4593 4594 4595 4596 4597 4598 4599 4600 4601 4602 4603 4604 4605 4606 4607 4608 4609 4610 4611 4612 4613 4614 4615 4616 4617 4618 4619 4620 4621 4622 4623 4624 4625 4626 4627 4628 4629 4630 4631 4632 4633 4634 4635 4636 4637 4638 4639 4640 4641 4642 4643 4644 4645 4646 4647 4648 4649 4650 4651 4652 4653 4654 4655 4656 4657 4658 4659 4660 4661 4662 4663 4664 4665 4666 4667 4668 4669 4670 4671 4672 4673 4674 4675 4676 4677 4678 4679 4680 4681 4682 4683 4684 4685 4686 4687 4688 4689 4690 4691 4692 4693 4694 4695 4696 4697 4698 4699 4700 4701 4702 4703 4704 4705 4706 4707 4708 4709 4710 4711 4712 4713 4714 4715 4716 4717 4718 4719 4720 4721 4722 4723 4724 4725 4726 4727 4728 4729 4730 4731 4732 4733 4734 4735 4736 4737 4738 4739 4740 4741 4742 4743 4744 4745 4746 4747 4748 4749 4750 4751 4752 4753 4754 4755 4756 4757 4758 4759 4760 4761 4762 4763 4764 4765 4766 4767 4768 4769 4770 4771 4772 4773 4774 4775 4776 4777 4778 4779 4780 4781 4782 4783 4784 4785 4786 4787 4788 4789 4790 4791 4792 4793 4794 4795 4796 4797 4798 4799 4800 4801 4802 4803 4804 4805 4806 4807 4808 4809 4810 4811 4812 4813 4814 4815 4816 4817 4818 4819 4820 4821 4822 4823 4824 4825 4826 4827 4828 4829 4830 4831 4832 4833 4834 4835 4836 4837 4838 4839 4840 4841 4842 4843 4844 4845 4846 4847 4848 4849 4850 4851 4852 4853 4854 4855 4856 4857 4858 4859 4860 4861 4862 4863 4864 4865 4866 4867 4868 4869 4870 4871 4872 4873 4874 4875 4876 4877 4878 4879 4880 4881 4882 4883 4884 4885 4886 4887 4888 4889 4890 4891 4892 4893 4894 4895 4896 4897 4898 4899 4900 4901 4902 4903 4904 4905 4906 4907 4908 4909 4910 4911 4912 4913 4914 4915 4916 4917 4918 4919 4920 4921 4922 4923 4924 4925 4926 4927 4928 4929 4930 4931 4932 4933 4934 4935 4936 4937 4938 4939 4940 4941 4942 4943 4944 4945 4946 4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 4962 4963 4964 4965 4966 4967 4968 4969 4970 4971 4972 4973 4974 4975 4976 4977 4978 4979 4980 4981 4982 4983 4984 4985 4986 4987 4988 4989 4990 4991 4992 4993 4994 4995 4996 4997 4998 4999 5000 5001 5002 5003 5004 5005 5006 5007 5008 5009 5010 5011 5012 5013 5014 5015 5016 5017 5018 5019 5020 5021 5022 5023 5024 5025 5026 5027 5028 5029 5030 5031 5032 5033 5034 5035 5036 5037 5038 5039 5040 5041 5042 5043 5044 5045 5046 5047 5048 5049 5050 5051 5052 5053 5054 5055 5056 5057 5058 5059 5060 5061 5062 5063 5064 5065 5066 5067 5068 5069 5070 5071 5072 5073 5074 5075 5076 5077 5078 5079 5080 5081 5082 5083 5084 5085 5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108 5109 5110 5111 5112 5113 5114 5115 5116 5117 5118 5119 5120 5121 5122 5123 5124 5125 5126 5127 5128 5129 5130 5131 5132 5133 5134 5135 5136 5137 5138 5139 5140 5141 5142 5143 5144 5145 5146 5147 5148 5149 5150 5151 5152 5153 5154 5155 5156 5157 5158 5159 5160 5161 5162 5163 5164 5165 5166 5167 5168 5169 5170 5171 5172 5173 5174 5175 5176 5177 5178 5179 5180 5181 5182 5183 5184 5185 5186 5187 5188 5189 5190 5191 5192 5193 5194 5195 5196 5197 5198 5199 5200 5201 5202 5203 5204 5205 5206 5207 5208 5209 5210 5211 5212 5213 5214 5215 5216 5217 5218 5219 5220 5221 5222 5223 5224 5225 5226 5227 5228 5229 5230 5231 5232 5233 5234 5235 5236 5237 5238 5239 5240 5241 5242 5243 5244 5245 5246 5247 5248 5249 5250 5251 5252 5253 5254 5255 5256 5257 5258 5259 5260 5261 5262 5263 5264 5265 5266 5267 5268 5269 5270 5271 5272 5273 5274 5275 5276 5277 5278 5279 5280 5281 5282 5283 5284 5285 5286 5287 5288 5289 5290 5291 5292 5293 5294 5295 5296 5297 5298 5299 5300 5301 5302 5303 5304 5305 5306 5307 5308 5309 5310 5311 5312 5313 5314 5315 5316 5317 5318 5319 5320 5321 5322 5323 5324 5325 5326 5327 5328 5329 5330 5331 5332 5333 5334 5335 5336 5337 5338 5339 5340 5341 5342 5343 5344 5345 5346 5347 5348 5349 5350 5351 5352 5353 5354 5355 5356 5357 5358 5359 5360 5361 5362 5363 5364 5365 5366 5367 5368 5369 5370 5371 5372 5373 5374 5375 5376 5377 5378 5379 5380 5381 5382 5383 5384 5385 5386 5387 5388 5389 5390 5391 5392 5393 5394 5395 5396 5397 5398 5399 5400 5401 5402 5403 5404 5405 5406 5407 5408 5409 5410 5411 5412 5413 5414 5415 5416 5417 5418 5419 5420 5421 5422 5423 5424 5425 5426 5427 5428 5429 5430 5431 5432 5433 5434 5435 5436 5437 5438 5439 5440 5441 5442 5443 5444 5445 5446 5447 5448 5449 5450 5451 5452 5453 5454 5455 5456 5457 5458 5459 5460 5461 5462 5463 5464 5465 5466 5467 5468 5469 5470 5471 5472 5473 5474 5475 5476 5477 5478 5479 5480 5481 5482 5483 5484 5485 5486 5487 5488 5489 5490 5491 5492 5493 5494 5495 5496 5497 5498 5499 5500 5501 5502 5503 5504 5505 5506 5507 5508 5509 5510 5511 5512 5513 5514 5515 5516 5517 5518 5519 5520 5521 5522 5523 5524 5525 5526 5527 5528 5529 5530 5531 5532 5533 5534 5535 5536 5537 5538 5539 5540 5541 5542 5543 5544 5545 5546 5547 5548 5549 5550 5551 5552 5553 5554 5555 5556 5557 5558 5559 5560 5561 5562 5563 5564 5565 5566 5567 5568 5569 5570 5571 5572 5573 5574 5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595 5596 5597 5598 5599 5600 5601 5602 5603 5604 5605 5606 5607 5608 5609 5610 5611 5612 5613 5614 5615 5616 5617 5618 5619 5620 5621 5622 5623 5624 5625 5626 5627 5628 5629 5630 5631 5632 5633 5634 5635 5636 5637 5638 5639 5640 5641 5642 5643 5644 5645 5646 5647 5648 5649 5650 5651 5652 5653 5654 5655 5656 5657 5658 5659 5660 5661 5662 5663 5664 5665 5666 5667 5668 5669 5670 5671 5672 5673 5674 5675 5676 5677 5678 5679 5680 5681 5682 5683 5684 5685 5686 5687 5688 5689 5690 5691 5692 5693 5694 5695 5696 5697 5698 5699 5700 5701 5702 5703 5704 5705 5706 5707 5708 5709 5710 5711 5712 5713 5714 5715 5716 5717 5718 5719 5720 5721 5722 5723 5724 5725 5726 5727 5728 5729 5730 5731 5732 5733 5734 5735 5736 5737 5738 5739 5740 5741 5742 5743 5744 5745 5746 5747 5748 5749 5750 5751 5752 5753 5754 5755 5756 5757 5758 5759 5760 5761 5762 5763 5764 5765 5766 5767 5768 5769 5770 5771 5772 5773 5774 5775 5776 5777 5778 5779 5780 5781 5782 5783 5784 5785 5786 5787 5788 5789 5790 5791 5792 5793 5794 5795 5796 5797 5798 5799 5800 5801 5802 5803 5804 5805 5806 5807 5808 5809 5810 5811 5812 5813 5814 5815 5816 5817 5818 5819 5820 5821 5822 5823 5824 5825 5826 5827 5828 5829 5830 5831 5832 5833 5834 5835 5836 5837 5838 5839 5840 5841 5842 5843 5844 5845 5846 5847 5848 5849 5850 5851 5852 5853 5854 5855 5856 5857 5858 5859 5860 5861 5862 5863 5864 5865 5866 5867 5868 5869 5870 5871 5872 5873 5874 5875 5876 5877 5878 5879 5880 5881 5882 5883 5884 5885 5886 5887 5888 5889 5890 5891 5892 5893 5894 5895 5896 5897 5898 5899 5900 5901 5902 5903 5904 5905 5906 5907 5908 5909 5910 5911 5912 5913 5914 5915 5916 5917 5918 5919 5920 5921 5922 5923 5924 5925 5926 5927 5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950 5951 5952 5953 5954 5955 5956 5957 5958 5959 5960 5961 5962 5963 5964 5965 5966 5967 5968 5969 5970 5971 5972 5973 5974 5975 5976 5977 5978 5979 5980 5981 5982 5983 5984 5985 5986 5987 5988 5989 5990 5991 5992 5993 5994 5995 5996 5997 5998 5999 6000 6001 6002 6003 6004 6005 6006 6007 6008 6009 6010 6011 6012 6013 6014 6015 6016 6017 6018 6019 6020 6021 6022 6023 6024 6025 6026 6027 6028 6029 6030 6031 6032 6033 6034 6035 6036 6037 6038 6039 6040 6041 6042 6043 6044 6045 6046 6047 6048 6049 6050 6051 6052 6053 6054 6055 6056 6057 6058 6059 6060 6061 6062 6063 6064 6065 6066 6067 6068 6069 6070 6071 6072 6073 6074 6075 6076 6077 6078 6079 6080 6081 6082 6083 6084 6085 6086 6087 6088 6089 6090 6091 6092 6093 6094 6095 6096 6097 6098 6099 6100 6101 6102 6103 6104 6105 6106 6107 6108 6109 6110 6111 6112 6113 6114 6115 6116 6117 6118 6119 6120 6121 6122 6123 6124 6125 6126 6127 6128 6129 6130 6131 6132 6133 6134 6135 6136 6137 6138 6139 6140 6141 6142 6143 6144 6145 6146 6147 6148 6149 6150 6151 6152 6153 6154 6155 6156 6157 6158 6159 6160 6161 6162 6163 6164 6165 6166 6167 6168 6169 6170 6171 6172 6173 6174 6175 6176 6177 6178 6179 6180 6181 6182 6183 6184 6185 6186 6187 6188 6189 6190 6191 6192 6193 6194 6195 6196 6197 6198 6199 6200 6201 6202 6203 6204 6205 6206 6207 6208 6209 6210 6211 6212 6213 6214 6215 6216 6217 6218 6219 6220 6221 6222 6223 6224 6225 6226 6227 6228 6229 6230 6231 6232 6233 6234 6235 6236 6237 6238 6239 6240 6241 6242 6243 6244 6245 6246 6247 6248 6249 6250 6251 6252 6253 6254 6255 6256 6257 6258 6259 6260 6261 6262 6263 6264 6265 6266 6267 6268 6269 6270 6271 6272 6273 6274 6275 6276 6277 6278 6279 6280 6281 6282 6283 6284 6285 6286 6287 6288 6289 6290 6291 6292 6293 6294 6295 6296 6297 6298 6299 6300 6301 6302 6303 6304 6305 6306 6307 6308 6309 6310 6311 6312 6313 6314 6315 6316 6317 6318 6319 6320 6321 6322 6323 6324 6325 6326 6327 6328 6329 6330 6331 6332 6333 6334 6335 6336 6337 6338 6339 6340 6341 6342 6343 6344 6345 6346 6347 6348 6349 6350 6351 6352 6353 6354 6355 6356 6357 6358 6359 6360 6361 6362 6363 6364 6365 6366 6367 6368 6369 6370 6371 6372 6373 6374 6375 6376 6377 6378 6379 6380 6381 6382 6383 6384 6385 6386 6387 6388 6389 6390 6391 6392 6393 6394 6395 6396 6397 6398 6399 6400 6401 6402 6403 6404 6405 6406 6407 6408 6409 6410 6411 6412 6413 6414 6415 6416 6417 6418 6419 6420 6421 6422 6423 6424 6425 6426 6427 6428 6429 6430 6431 6432 6433 6434 6435 6436 6437 6438 6439 6440 6441 6442 6443 6444 6445 6446 6447 6448 6449 6450 6451 6452 6453 6454 6455 6456 6457 6458 6459 6460 6461 6462 6463 6464 6465 6466 6467 6468 6469 6470 6471 6472 6473 6474 6475 6476 6477 6478 6479 6480 6481 6482 6483 6484 6485 6486 6487 6488 6489 6490 6491 6492 6493 6494 6495 6496 6497 6498 6499 6500 6501 6502 6503 6504 6505 6506 6507 6508 6509 6510 6511 6512 6513 6514 6515 6516 6517 6518 6519 6520 6521 6522 6523 6524 6525 6526 6527 6528 6529 6530 6531 6532 6533 6534 6535 6536 6537 6538 6539 6540 6541 6542 6543 6544 6545 6546 6547 6548 6549 6550 6551 6552 6553 6554 6555 6556 6557 6558 6559 6560 6561 6562 6563 6564 6565 6566 6567 6568 6569 6570 6571 6572 6573 6574 6575 6576 6577 6578 6579 6580 6581 6582 6583 6584 6585 6586 6587 6588 6589 6590 6591 6592 6593 6594 6595 6596 6597 6598 6599 6600 6601 6602 6603 6604 6605 6606 6607 6608 6609 6610 6611 6612 6613 6614 6615 6616 6617 6618 6619 6620 6621 6622 6623 6624 6625 6626 6627 6628 6629 6630 6631 6632 6633 6634 6635 6636 6637 6638 6639 6640 6641 6642 6643 6644 6645 6646 6647 6648 6649 6650 6651 6652 6653 6654 6655 6656 6657 6658 6659 6660 6661 6662 6663 6664 6665 6666 6667 6668 6669 6670 6671 6672 6673 6674 6675 6676 6677 6678 6679 6680 6681 6682 6683 6684 6685 6686 6687 6688 6689 6690 6691 6692 6693 6694 6695 6696 6697 6698 6699 6700 6701 6702 6703 6704 6705 6706 6707 6708 6709 6710 6711 6712 6713 6714 6715 6716 6717 6718 6719 6720 6721 6722 6723 6724 6725 6726 6727 6728 6729 6730 6731 6732 6733 6734 6735 6736 6737 6738 6739 6740 6741 6742 6743 6744 6745 6746 6747 6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759 6760 6761 6762 6763 6764 6765 6766 6767 6768 6769 6770 6771 6772 6773 6774 6775 6776 6777 6778 6779 6780 6781 6782 6783 6784 6785 6786 6787 6788 6789 6790 6791 6792 6793 6794 6795 6796 6797 6798 6799 6800 6801 6802 6803 6804 6805 6806 6807 6808 6809 6810 6811 6812 6813 6814 6815 6816 6817 6818 6819 6820 6821 6822 6823 6824 6825 6826 6827 6828 6829 6830 6831 6832 6833 6834 6835 6836 6837 6838 6839 6840 6841 6842 6843 6844 6845 6846 6847 6848 6849 6850 6851 6852 6853 6854 6855 6856 6857 6858 6859 6860 6861 6862 6863 6864 6865 6866 6867 6868 6869 6870 6871 6872 6873 6874 6875 6876 6877 6878 6879 6880 6881 6882 6883 6884 6885 6886 6887 6888 6889 6890 6891 6892 6893 6894 6895 6896 6897 6898 6899 6900 6901 6902 6903 6904 6905 6906 6907 6908 6909 6910 6911 6912 6913 6914 6915 6916 6917 6918 6919 6920 6921 6922 6923 6924 6925 6926 6927 6928 6929 6930 6931 6932 6933 6934 6935 6936 6937 6938 6939 6940 6941 6942 6943 6944 6945 6946 6947 6948 6949 6950 6951 6952 6953 6954 6955 6956 6957 6958 6959 6960 6961 6962 6963 6964 6965 6966 6967 6968 6969 6970 6971 6972 6973 6974 6975 6976 6977 6978 6979 6980 6981 6982 6983 6984 6985 6986 6987 6988 6989 6990 6991 6992 6993 6994 6995 6996 6997 6998 6999 7000 7001 7002 7003 7004 7005 7006 7007 7008 7009 7010 7011 7012 7013 7014 7015 7016 7017 7018 7019 7020 7021 7022 7023 7024 7025 7026 7027 7028 7029 7030 7031 7032 7033 7034 7035 7036 7037 7038 7039 7040 7041 7042 7043 7044 7045 7046 7047 7048 7049 7050 7051 7052 7053 7054 7055 7056 7057 7058 7059 7060 7061 7062 7063 7064 7065 7066 7067 7068 7069 7070 7071 7072 7073 7074 7075 7076 7077 7078 7079 7080 7081 7082 7083 7084 7085 7086 7087 7088 7089 7090 7091 7092 7093 7094 7095 7096 7097 7098 7099 7100 7101 7102 7103 7104 7105 7106 7107 7108 7109 7110 7111 7112 7113 7114 7115 7116 7117 7118 7119 7120 7121 7122 7123 7124 7125 7126 7127 7128 7129 7130 7131 7132 7133 7134 7135 7136 7137 7138 7139 7140 7141 7142 7143 7144 7145 7146 7147 7148 7149 7150 7151 7152 7153 7154 7155 7156 7157 7158 7159 7160 7161 7162 7163 7164 7165 7166 7167 7168 7169 7170 7171 7172 7173 7174 7175 7176 7177 7178 7179 7180 7181 7182 7183 7184 7185 7186 7187 7188 7189 7190 7191 7192 7193 7194 7195 7196 7197 7198 7199 7200 7201 7202 7203 7204 7205 7206 7207 7208 7209 7210 7211 7212 7213 7214 7215 7216 7217 7218 7219 7220 7221 7222 7223 7224 7225 7226 7227 7228 7229 7230 7231 7232 7233 7234 7235 7236 7237 7238 7239 7240 7241 7242 7243 7244 7245 7246 7247 7248 7249 7250 7251 7252 7253 7254 7255 7256 7257 7258 7259 7260 7261 7262 7263 7264 7265 7266 7267 7268 7269 7270 7271 7272 7273 7274 7275 7276 7277 7278 7279 7280 7281 7282 7283 7284 7285 7286 7287 7288 7289 7290 7291 7292 7293 7294 7295 7296 7297 7298 7299 7300 7301 7302 7303 7304 7305 7306 7307 7308 7309 7310 7311 7312 7313 7314 7315 7316 7317 7318 7319 7320 7321 7322 7323 7324 7325 7326 7327 7328 7329 7330 7331 7332 7333 7334 7335 7336 7337 7338 7339 7340 7341 7342 7343 7344 7345 7346 7347 7348 7349 7350 7351 7352 7353 7354 7355 7356 7357 7358 7359 7360 7361 7362 7363 7364 7365 7366 7367 7368 7369 7370 7371 7372 7373 7374 7375 7376 7377 7378 7379 7380 7381 7382 7383 7384 7385 7386 7387 7388 7389 7390 7391 7392 7393 7394 7395 7396 7397 7398 7399 7400 7401 7402 7403 7404 7405 7406 7407 7408 7409 7410 7411 7412 7413 7414 7415 7416 7417 7418 7419 7420 7421 7422 7423 7424 7425 7426 7427 7428 7429 7430 7431 7432 7433 7434 7435 7436 7437 7438 7439 7440 7441 7442 7443 7444 7445 7446 7447 7448 7449 7450 7451 7452 7453 7454 7455 7456 7457 7458 7459 7460 7461 7462 7463 7464 7465 7466 7467 7468 7469 7470 7471 7472 7473 7474 7475 7476 7477 7478 7479 7480 7481 7482 7483 7484 7485 7486 7487 7488 7489 7490 7491 7492 7493 7494 7495 7496 7497 7498 7499 7500 7501 7502 7503 7504 7505 7506 7507 7508 7509 7510 7511 7512 7513 7514 7515 7516 7517 7518 7519 7520 7521 7522 7523 7524 7525 7526 7527 7528 7529 7530 7531 7532 7533 7534 7535 7536 7537 7538 7539 7540 7541 7542 7543 | [
{
"task_id": 1,
"intent": "Is biophysics mentioned as a related page or branch in the Biology article, the Physics article, both, or neither of them?",
"intent_template_id": 1,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"biology"
],
"must_exclude": [
"both",
"neither",
"^[\\s\\S]*\\bnot\\b (in |mentioned in |listed in |on |under )?(the )?biology\\b[\\s\\S]*$"
],
"scope": "first_sentence",
"fuzzy_match": "Biology"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap-4 multiple choice (Biology / Physics / both / neither). must_include the correct option and exclude only the literal choice words 'both'/'neither' -- bare 'physics' cannot be excluded because a correct answer routinely says 'in Biology, not in Physics'. The third exclusion is the mirror near-miss where the negation directly governs 'biology' ('..., not (in/mentioned in/listed in/on/under) (the) Biology'): it catches a wrong answer that says biophysics is NOT in the Biology article, while 'It is not Physics but Biology' still passes because the negation there governs Physics. (Earlier this regex carried a '(?! article'?s)' lookahead that opened a false-accept hole: 'not in the Biology article's related pages' -- a wrong answer -- escaped the exclusion; removed.) scope first_sentence stops a 'Physics.' verdict whose justification later names the Biology article.",
"source": "batch_14.json"
}
}
},
{
"task_id": 2,
"intent": "What is the population difference between the two special administrative regions of China?",
"intent_template_id": 2,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 7000000,
"rel_tolerance": 0.1
},
"fuzzy_match": "Around 7 million"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Hedged gold ('Around 7 million'); the real difference (Hong Kong ~7.4M minus Macau ~0.68M ~= 6.7M) sits inside a 10% band around 7M, so rel_tolerance 0.1 accepts every plausible correct figure while rejecting 8M / 700k answers. Medium because an answer that reports Hong Kong's raw population (~7.4M) instead of the difference also lands in the band.",
"source": "batch_14.json"
}
}
},
{
"task_id": 3,
"intent": "List all specific animal names found in the 'Natural History' section of the New Zealand page and the 'Indigenous life' section of the Australia page.",
"intent_template_id": 3,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"koalas |OR| koala"
],
[
"kangaroos |OR| kangaroo"
],
[
"wombats |OR| wombat"
],
[
"numbats |OR| numbat"
],
[
"platypus |OR| platypuses |OR| platypi"
],
[
"echidna |OR| short-beaked echidna"
],
[
"bats |OR| bat"
],
[
"seals |OR| seal"
],
[
"dolphins |OR| dolphin"
],
[
"whales |OR| whale"
],
[
"kiwi |OR| kiwis"
],
[
"kakapo |OR| kakapos"
],
[
"tuatara |OR| tuataras"
],
[
"moa |OR| moas"
],
[
"rats |OR| rat"
],
[
"dogs |OR| dog"
],
[
"cats |OR| cat"
],
[
"possums |OR| possum"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "Koalas, kangaroos, wombats, numbats, platypus, short-beaked echidna, bats, seals, dolphins, whales, kiwi, kakapo, tuatara, Moa, rats, dogs, cats, possums."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The intent asks for *all* animal names in two sections, so the set semantics of list_match are exactly right and every one of the 17 gold animals is required. Each item carries singular/plural alternatives because agents freely switch number when re-listing ('koala' vs 'koalas'). 'kakapo' needs no macron variant -- fold_unicode strips the diacritics of 'kakapo' before matching. ordered:false because the intent imposes no order; an agent may report the New Zealand section before the Australia one. Word-boundary matching keeps 'bat' from matching inside 'wombat' and 'cat' from matching inside 'cats' incorrectly. | SPOT-CHECK: gold list omits the short-beaked echidna (named beside platypus). Verifier tolerates extra items, so a correct fuller answer still passes; human should complete the gold. | FIXED (env-verified): added 'short-beaked echidna', named beside platypus in Australia's 'Indigenous life' section. All other gold animals confirmed across the two sections. | NOTE (designer intent): the HF CSV gold for this task adds \"(It is fine if 1/2 animals are missing)\", i.e. some leniency was intended. The deterministic list_match here is kept STRICT (all animals required) per review decision; revisit if it proves too harsh.",
"source": "batch_13.json"
}
}
},
{
"task_id": 4,
"intent": "Go to Black Sabbath's article and click the second hyperlink in the article's content. I need the population of the country that the link leads to. If it's not a country, just go to the first country mentioned on that visited page and give me that country's population.",
"intent_template_id": 4,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 57700000,
"rel_tolerance": 0.015
},
"fuzzy_match": "Over 57.7 million"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'Over 57.7 million' is a hedged population figure (England). number_match parses '57.7 million', '57,690,300' and 'over 57.7m' alike. rel_tolerance 0.015 (+/- ~0.87M) covers the plausible on-page England estimates (57.1M-57.7M) while still rejecting the UK figure (~67.6M), Birmingham (~1.1M) and Italy (~58.9M). No string anchor is needed: the intent asks only for the number.",
"source": "batch_15.json"
}
}
},
{
"task_id": 5,
"intent": "How many total Pro Football Hall of Famers are there in the articles about the American football teams mentioned in Eminem's article?",
"intent_template_id": 5,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 13
},
"fuzzy_match": "Thirteen"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'Thirteen' is a count; number_match parses both the spelled-out cardinal and the digits. Exact comparison, no tolerance - a count is either right or wrong. Other numbers in the answer (team names, per-article subtotals) are harmless because the verifier only requires 13 to be among the parsed values.",
"source": "batch_15.json"
}
}
},
{
"task_id": 6,
"intent": "Trace this path: start at the \"Territory\" page → the first country mentioned → a country that shares its southern border → the largest city of that country. What is the first word of the second section on that final page (the introductory paragraphs count as one section)?",
"intent_template_id": 6,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"mexico"
],
"scope": "full",
"fuzzy_match": "Mexico"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Final answer is the single word 'Mexico'. Neither 'Mexico' nor a distractor is named in the intent, so plain must_include is safe. Medium: 'Mexico' could also appear as an intermediate country in a wrong answer that narrates the path.",
"source": "batch_16.json"
}
}
},
{
"task_id": 7,
"intent": "Navigate to the article corresponding to the last word in the second paragraph of the 'Hip-hop' article. In the visited page, follow the first hyperlink and tell me the first line from the article's content.",
"intent_template_id": 7,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"in politics",
"government of a country",
"control over"
],
"scope": "full",
"fuzzy_match": "In politics, a is the government of a country which has control over a geographic area or territory."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a garbled quote ('In politics, a is the government of a country...' -- the word 'state' was dropped/reordered), so it cannot be matched verbatim; flagged for human review. Spec anchors on the three content phrases that survive in both the gold and a clean quote of the same line. scope full because agents often prefix the quote with the article title. | FIXED (env-verified): removed the spurious 'State ' prefix; the article renders 'In politics, a is the government of a country which has control over a geographic area or territory.' NOTE the env HTML drops the word 'state' ('a is' rather than 'a state is') -- an environment bug, but the gold now matches what an agent actually reads. Spec anchors on stable tokens.",
"source": "batch_14.json"
}
}
},
{
"task_id": 8,
"intent": "Recursively follow the first link in the main content of each page, starting from the article on Research. What is the title of the final article whose page does not exist?",
"intent_template_id": 8,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"real"
],
"scope": "full",
"fuzzy_match": "Real"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the single article title 'Real'. Word-boundary matching keeps it from matching 'Reality'/'Realism'/'really', but 'real' is a common English word, so an answer that uses it incidentally could slip through -- hence medium. The starting article 'Research' named in the intent does not contain the token, so no trap-1 handling is needed.",
"source": "batch_01.json"
}
}
},
{
"task_id": 9,
"intent": "Recursively follow the third hyperlink in the main content of each article, starting from the article \"Periodic table.\" Keep traversing until there is no third hyperlink or you encounter a \"page does not exist\" article. List the titles of all the valid pages in the order that you visited.",
"intent_template_id": 9,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"periodic table"
],
[
"atomic number"
],
[
"nucleus |OR| atomic nucleus"
],
[
"proton"
],
[
"neutron"
],
[
"atom"
],
[
"solid"
]
],
"ordered": true,
"forbidden": []
},
"fuzzy_match": "Periodic table, Atomic number, Atomic nucleus, Proton, Neutron, Atom, Solid"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The intent explicitly asks for the titles 'in the order that you visited', so ordered:true is warranted. Word-boundary matching keeps 'atom' from matching inside 'atomic number', so the ordering check on first occurrences is meaningful. 'nucleus' also accepts the full title 'Atomic nucleus'. No forbidden entries: a correct answer may legitimately mention the terminating non-existent page. | SPOT-CHECK: intent asks for page TITLES; gold item 3 is link text \"nucleus\" but the visited page title is \"Atomic nucleus\". Spec still matches via containment; human should fix gold to titles. | FIXED (env-verified): item 3 corrected from link text 'nucleus' to the actual page title 'Atomic nucleus' (Atomic number's third link points to /wiki/atomic nucleus; a separate 'Nucleus' page also exists). Spec already accepts both spellings.",
"source": "batch_15.json"
}
}
},
{
"task_id": 10,
"intent": "Visit the article about the earliest known statistics mentioned in the Statistics article. Then visit the article about the last country mentioned in its main content. What is the name of the first animal mentioned on that country's page?",
"intent_template_id": 10,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"kiwi |OR| kiwis"
],
"scope": "full",
"fuzzy_match": "Kiwi"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single named entity ('Kiwi'); neither the gold nor any competing animal appears in the intent, so plain must_include on the full answer is safe. The |OR| alternative covers the plural; word-boundary matching already keeps 'kiwifruit' from counting as a hit. 'kiwi' is distinctive (not a common word), so the incidental-mention risk of Trap 3 is low.",
"source": "batch_02.json"
}
}
},
{
"task_id": 11,
"intent": "Who is the current mayor of New York City, according to the article on NYC?",
"intent_template_id": 11,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"eric adams"
],
"scope": "full",
"fuzzy_match": "Eric Adams"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single named entity; the gold string does not appear in the intent, so a plain must_include on the full answer is safe. No must_exclude on predecessors (de Blasio/Bloomberg) because a correct verbose answer may legitimately mention who Adams succeeded (guidelines trap 2).",
"source": "batch_03.json"
}
}
},
{
"task_id": 12,
"intent": "Navigate to the article on Canada and find who the head of the military is. Tell me the name of that person.",
"intent_template_id": 12,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^[\\s\\S]*(\\bnot\\b|n't|\\bnever\\b)[\\s\\S]{0,25}(mention|name|specif|state|list|provid|give|given|say|said|identif|indicat|avail)[\\s\\S]*$ |OR| ^[\\s\\S]*\\bno\\b[\\s\\S]{0,20}name[\\s\\S]*$ |OR| unnamed"
],
"scope": "full",
"fuzzy_match": "Name has not been mentioned."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a negative finding ('Name has not been mentioned.'), so the checkable anchor is a negation adjacent to a reporting verb; the regex covers 'not mentioned', 'has not been mentioned', \"doesn't mention\", 'never names', 'does not give/state/specify/list/identify' and 'no name'/'no mention of the name'. Any answer that actually names a person (Mary Simon, Charles III, Wayne Eyre) lacks that pattern and fails.",
"source": "batch_14.json"
}
}
},
{
"task_id": 13,
"intent": "Visit the article on the date of the latest event from the article on the year 1971. Then tell me the year of the first event from the 1900s, as listed in that article.",
"intent_template_id": 13,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"1903"
],
"scope": "full",
"fuzzy_match": "1903"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A year. Distinctive digits; word-boundary matching keeps it from matching 19031 etc. The intent mentions 1971 and '1900s' but not 1903, so requiring 1903 is discriminative.",
"source": "batch_16.json"
}
}
},
{
"task_id": 14,
"intent": "What is the total number of floral and faunal emblems mentioned in the articles for all six Australian states?",
"intent_template_id": 14,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"four |OR| 4"
],
"scope": "full",
"fuzzy_match": "Four"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a bare count. Switched from number_match to string_match ['four |OR| 4']: both accept 'Four' and '4', but string_match refuses the ordinal reading ('the 4th state...') that number_match would parse as 4, closing that false-accept vector. No tolerance-equivalent: the task asks for an exact total. Confidence medium because 4 is a low-discriminative value that still leaks when a wrong answer enumerates a component of 4 ('4 floral and 8 faunal, twelve total') -- that residual cannot be closed without rejecting the bare gold 'Four'. gold_suspect: six states with a floral AND a faunal emblem each would naively give twelve; 'Four' is only right if most state articles omit their emblems in this snapshot -- worth a human check against the served pages. Spec is unaffected either way. | VERIFIED CORRECT (env): only Queensland (floral + fauna) and South Australia (floral + faunal) mention floral/faunal emblems -> 4 total; New South Wales, Victoria, Western Australia and Tasmania articles mention none. Gold 'Four' stands.",
"source": "batch_04.json"
}
}
},
{
"task_id": 15,
"intent": "Find out which U.S. state uses the word borough instead of counties based on the Borough Wiki article.",
"intent_template_id": 15,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"alaska"
],
"scope": "full",
"fuzzy_match": "Alaska"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single named entity. Neither 'Alaska' nor the distractor 'Louisiana' appears in the intent, so plain must_include is safe. No must_exclude: a correct answer may contrast Alaska with Louisiana's parishes. Residual: a self-contradictory wrong answer ('no state uses boroughs, not even Alaska') would still contain the token, but no competent agent produces that when the gold is a clear positive.",
"source": "batch_05.json"
}
}
},
{
"task_id": 16,
"intent": "How many times did you encounter the word Hell in these articles: \"Peru\", \"Pusha T\", and \"Doom (2016 video game)\"?",
"intent_template_id": 16,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 10
},
"fuzzy_match": "Ten"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Pure count; gold 'Ten' -> 10 exact. number_match parses both 'ten' and '10'. Per-article breakdowns in the answer add other numbers but the required total must still be present; an off-by-one total has no 10 anywhere.",
"source": "batch_06.json"
}
}
},
{
"task_id": 17,
"intent": "Which specialized tools were mentioned in the approaches section of the Physics article?",
"intent_template_id": 17,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"particle accelerators |OR| particle accelerator"
],
[
"lasers |OR| laser"
]
],
"ordered": false
},
"fuzzy_match": "Particle Accelerators, Lasers"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Two specialized tools. Alternatives cover singular/plural because word-boundary matching treats 'accelerator' and 'accelerators' as distinct. Both must appear.",
"source": "batch_16.json"
}
}
},
{
"task_id": 18,
"intent": "How many times is the word \"Ishmael\" mentioned on the page \"Abraham\"?",
"intent_template_id": 18,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 5
},
"fuzzy_match": "Five"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'Five' is a count; number_match parses both '5' and 'five'. Exact match, no tolerance. Medium because a wrong answer that happens to contain the digit 5 for another reason (e.g. '6 times across 5 sections') would slip through; no string anchor exists since the intent's own words ('Ishmael', 'Abraham') appear in every answer.",
"source": "batch_07.json"
}
}
},
{
"task_id": 19,
"intent": "Trace this path in the exact order: France → Emblem → Democracy → Name → Custom. While visiting these articles, which word appears immediately before either \"Suzuki Ichiro\" or \"Suffrage\"?",
"intent_template_id": 19,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"election |OR| name |OR| given name"
],
"scope": "first_sentence",
"fuzzy_match": "election"
},
"revision": 1,
"annotation": {
"confidence": "low",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: the gold token 'Suffrage' is quoted in the intent itself, so a wrong answer that names another word ('Universal') while pointing at 'Suffrage' would satisfy a plain must_include. The must_exclude regex rejects answers that present some other word as the one standing immediately before 'Suffrage'. gold_suspect: the intent asks for the word appearing immediately *before* \"Suzuki Ichiro\" or \"Suffrage\", yet the gold is one of those two anchors, so the gold does not answer the intent as literally phrased -- a human should confirm the intended reading before this spec is trusted. | SPOT-CHECK: gold \"Suffrage\" restates a search string, does not name the word before it (that word is \"election\"). Gold likely wrong. | FIXED (env-verified): old gold 'Suffrage' restated the anchor rather than the word before it. In Democracy '...vote in an election. Suffrage is...' so 'election' precedes Suffrage; in Name '...the given name. \"Suzuki Ichiro\"...' so 'name' precedes Suzuki Ichiro. The intent says 'either ... or', so both are acceptable and the spec accepts either.",
"source": "batch_08.json"
}
}
},
{
"task_id": 20,
"intent": "Which Brazilian president is mentioned in the article on Conservatism?",
"intent_template_id": 20,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"bolsonaro"
],
"scope": "full",
"fuzzy_match": "Jair Bolsonaro"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single named entity; neither the gold nor any competing president appears in the intent, so plain must_include on the surname is safe. Surname alone is required so 'Jair Bolsonaro', 'Bolsonaro' and '**Bolsonaro**' all pass. Word-boundary matching keeps 'Bolsonarism' from matching. Scope kept 'full' because a verbose agent may open with a sentence about the article before naming the president.",
"source": "batch_09.json"
}
}
},
{
"task_id": 21,
"intent": "Go to the page of the first notable Nobel laureate mentioned in the Nobel Prize article. Then visit the last hyperlink in the second section (the introductory paragraph counts as a section). How many countries are mentioned on the final visited page?",
"intent_template_id": 21,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 1
},
"fuzzy_match": "One"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'One' is a count, so number_match parses both the word and the digit. Full scope on purpose: this is a 3-hop navigation task and agents often narrate the path in the opening sentence, so first_sentence would reject genuinely correct answers. Trap-3 applies: 'one' is low-discriminative, so a wrong answer that happens to say 'one of which' would slip through; the intent names no competing number, so nothing better is available.",
"source": "batch_10.json"
}
}
},
{
"task_id": 22,
"intent": "I heard that possession of illegal drugs is considered a victimless crime. Can you find a reference article to this statement? If yes, then tell me the name of the article.",
"intent_template_id": 22,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"victimless crime"
],
"must_exclude": [
"could not find |OR| couldn't find |OR| unable to find |OR| did not find |OR| didn't find |OR| no article |OR| no reference article |OR| no such article |OR| does not exist |OR| doesn't exist |OR| found nothing |OR| nothing matching |OR| no results |OR| no matching |OR| no matches |OR| couldn't locate |OR| could not locate |OR| not able to find |OR| wasn't able to find |OR| was not able to find |OR| found no |OR| there is no article |OR| there was no article |OR| there are no articles"
],
"scope": "full",
"fuzzy_match": "Victimless Crime"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap-1: the gold title 'Victimless Crime' is quoted verbatim in the intent, so a failed agent will echo it ('I could not find an article about victimless crime'). must_include the title, plus a broadened must_exclude of not-found phrasings (found nothing / no results / couldn't locate / there is no article / ...) that cannot occur in an answer that successfully names the article. Adversarial pass widened the not-found net beyond the draft's four phrasings. Residual risk (why medium): an answer that names a DIFFERENT article while restating the question phrase ('the article about victimless crime is Drug Prohibition') still passes -- not separable deterministically without enumerating wrong titles.",
"source": "batch_11.json"
}
}
},
{
"task_id": 23,
"intent": "Which one of these does not have a valid page: Burger King, Wendy's, McDonald's?",
"intent_template_id": 23,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"none |OR| ^.*\\b(all|each|every)\\b[^.!?]{0,55}\\b(valid|exist|exists|available|present|active|working|real|have a page|has a page|have pages|has pages|have an article|has an article|have articles)\\b.*$"
],
"must_exclude": [
"except",
"not all",
"none have valid |OR| none has valid |OR| none has a valid |OR| none have a valid |OR| none of them have valid |OR| none of them has valid |OR| none of them has a valid |OR| none of them have a valid |OR| none of the three have valid |OR| none of the three has valid |OR| none of the three has a valid |OR| none of the three have a valid",
"does not have a valid |OR| doesn't have a valid |OR| has no valid"
],
"scope": "first_sentence",
"fuzzy_match": "None, all of them have valid pages"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: all three brands are named in the intent, so a correct answer necessarily mentions them and must_exclude on a brand is impossible. The discriminating signal is the universal 'all/each/every ... valid|exist|available|...' verdict OR a bare 'none' (the correct one-word answer). Requiring the positive predicate NEAR all/each/every (rather than accepting bare 'all three'/'all of them' tokens) is what rejects the hardest near-miss 'All three were checked, and Wendy's is a red link' -- that sentence names a culprit and never asserts validity, so it matches neither 'none' nor 'all...valid'. The excludes kill the residual holes that still contain 'none' or 'all...valid': 'not all ... have valid'; 'none [of them/of the three] have/has [a] valid' (the all-invalid reading of 'none', which the gold 'None, all of them have valid' does NOT trip because 'all' sits between 'none' and 'have'); 'except'; and a brand that 'does not have a valid / has no valid' page. 'is a red link' / 'is invalid' are deliberately NOT excluded because a correct answer may negate them ('none of them is a red link', 'none of them is invalid'). Residual (medium): a convoluted 'only McDonald's has a valid page' could slip through.",
"source": "batch_01.json"
}
}
},
{
"task_id": 24,
"intent": "Start at the Computer Science article and serially visit the hyperlinks in that article. Stop when you find a hyperlink where the hyperlink text doesn't match the title of the page it leads to, and tell me the text of that hyperlink.",
"intent_template_id": 24,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"encoding |OR| encodings"
],
"scope": "full",
"fuzzy_match": "Encoding"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Single-token hyperlink text. Neither the gold nor any distractor appears in the intent, so plain must_include is safe. The 'encodings' alternative is there only because word-boundary matching would otherwise reject a plural restatement. Residual false-accept (why confidence is medium, not high): the target page is titled 'Character encoding', which every correct answer legitimately quotes, so a comprehension-error answer that reports the *title* 'Character encoding' as the hyperlink text also contains the word 'encoding' and passes. It cannot be excluded without rejecting correct answers that cite the target title, so no deterministic rule separates the two.",
"source": "batch_12.json"
}
}
},
{
"task_id": 25,
"intent": "Does the article on Sociology discuss its relationship with Mathematics? If so, please provide the title of the section.",
"intent_template_id": 25,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| does not |OR| doesn't |OR| do not |OR| don't"
],
"must_exclude": [
"yes",
"does discuss |OR| discusses it |OR| it discusses |OR| is discussed |OR| does cover |OR| is covered |OR| covers it"
],
"scope": "first_sentence",
"fuzzy_match": "No, it does not."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('No, it does not.'). first_sentence scope keeps a justification tail from leaking a 'yes'. The negated-verb alternatives accept 'The article does not discuss ...' which carries no bare 'no' token. The second must_exclude entry rejects the tricky affirmative wrong-answer shapes that still contain a negation token elsewhere -- 'it does not have a dedicated section, but it does discuss ...' and 'No doubt the article discusses it ...' -- by excluding the affirmative-discussion phrases themselves. The excludes are tied to adjacency ('does discuss', 'discusses it', 'is discussed') so contrastive-correct wording like 'never discusses its relationship' or 'is not covered' is NOT tripped ('does not discuss', 'is not covered' keep the negation between the words). Medium confidence: the affirmative-phrase exclude list is judgement-based and a rare wrong answer that affirms with an un-listed verb (e.g. 'No -- actually it IS addressed in ...') would slip through.",
"source": "batch_05.json"
}
}
},
{
"task_id": 26,
"intent": "I've been wanting to learn more about civil wars for a long time. It's fascinating how conflicts can arise between two groups within the same country. Since it's a common topic, there should be plenty of articles on it. I'm especially interested in civil wars where one group wants to separate from, or secede from, the country. Could you search for an article on this and let me know the title?",
"intent_template_id": 26,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"secession |OR| secessions"
],
"scope": "full",
"fuzzy_match": "Secession"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the single article title 'Secession'. The intent uses the verb 'secede', never the noun, so the gold token is not handed to the agent by the question and word-boundary matching keeps 'secede'/'seceding'/'secessionist'/'secessionism' from satisfying it. Scope kept at 'full' deliberately: a correct answer often opens with a preamble ('I found an article that matches. It is titled Secession.') and first_sentence would reject it. Residual risk (hence medium): a wrong answer that names another title but happens to use the noun 'secession' in its justification would slip through.",
"source": "batch_13.json"
}
}
},
{
"task_id": 27,
"intent": "Start at the Computer Science article and serially visit the hyperlinks in that article. Stop when you find a hyperlink where the hyperlink text doesn't match the title of the page it leads to, and tell me the names of all the hyperlinks that you have visited.",
"intent_template_id": 27,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"^.*(?<![a-z])(?<!computer )science(?![a-z]).*$"
],
[
"information"
],
[
"encoding"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "Science, Information, Encoding"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: the start page 'Computer Science' is named in the intent, so a plain 'science' item is free for any answer that restates the intent. The first item is therefore a regex that requires a standalone 'science' not preceded by 'computer'. Not marked ordered: the intent says 'serially visit' but never asks for the answer to be ordered, and a correct answer may name the stopping link first. Medium confidence because an answer that over-runs past Encoding (lists an extra link) still passes - the article's link order is not available offline, so no 'forbidden' entry can be justified.",
"source": "batch_02.json"
}
}
},
{
"task_id": 28,
"intent": "Start from the article on the color blue. Sequentially visit the hyperlinks in that article. Stop when you visit a hyperlink that doesn't have a valid page, and tell me the text of that hyperlink.",
"intent_template_id": 28,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"people |OR| peoples"
],
"scope": "first_sentence",
"fuzzy_match": "People"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap-3 low-discriminative gold ('People' is a common word). scope first_sentence keeps an incidental 'many people ...' in a justification sentence from rescuing a wrong link text, and the verdict is always stated first.",
"source": "batch_14.json"
}
}
},
{
"task_id": 29,
"intent": "Start at the article \"World\" and serially visit the first five hyperlinks in the article's content. Tell me the names of all the articles that don't have a valid page.",
"intent_template_id": 29,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^(?=.*\\b(?:all|every|each|both)\\b)(?=.*\\b(?:valid|exist|exists|existed|fine|working|works|accessible|reachable|loads?|good)\\b).*$ |OR| ^(?=.*\\bnone\\b).*$ |OR| ^.*\\bno (?:missing|invalid|broken|nonexistent|dead|red|bad)\\b.*$"
],
"must_exclude": [
"except |OR| apart from |OR| aside from |OR| save for",
"does not have a valid |OR| doesn't have a valid |OR| has no valid page |OR| have no valid page |OR| no valid page |OR| not a valid page |OR| without a valid page",
"does not exist |OR| doesn't exist |OR| do not exist |OR| don't exist",
"is a red link |OR| is a redlink |OR| is red-linked"
],
"scope": "first_sentence",
"fuzzy_match": "All the articles have valid pages."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the negative-existential sentence 'All the articles have valid pages.' The discriminating signal is a universal-affirmative ('all/every/each ... valid|exist|fine') OR a negative-existential where 'no' sits IMMEDIATELY before the invalidity word ('no missing/invalid/broken/red...'). Requiring 'no' adjacent to the invalidity word (rather than anywhere in the sentence) is what rejects the near-misses 'Life has no page and is missing' and 'there are no fewer than two broken links' that the earlier loose 'there are no' alternative accepted. must_exclude removes the specific-blame constructions a wrong answer uses inside an otherwise-affirmative sentence ('All valid except/apart from X', 'X does not have a valid page', 'X does not exist', 'X is a red link'); none of these can appear in a correct answer, while 'none are red links' / 'no red links' survive because they contain neither 'is a red link' nor 'no valid page'. Medium because a correct answer phrased purely as 'there are no articles without a valid page' (no adjacent invalidity word) would be rejected.",
"source": "batch_15.json"
}
}
},
{
"task_id": 30,
"intent": "I have always wanted to know more about the history of the famous tech company Apple. I think the official name of the company is Apple Inc. Can you find a Wiki article for me?",
"intent_template_id": 30,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"apple inc"
],
"must_exclude": [
"could not find |OR| couldn't find |OR| cannot find |OR| can't find |OR| unable to find |OR| no wiki article |OR| no such article |OR| does not exist |OR| doesn't exist |OR| there is no article",
"no apple inc |OR| not apple inc |OR| isn't apple inc |OR| is not apple inc",
"no article titled |OR| has no article |OR| have no article"
],
"scope": "full",
"fuzzy_match": "Apple Inc."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: the gold string 'Apple Inc.' is spelled out in the intent, so a failure report would still satisfy a plain must_include. The first must_exclude entry covers the generic not-found phrasings. The second and third entries close the specific false-accept where the agent reports the company page is NOT called Apple Inc. ('There's no Apple Inc. article; the page is just Apple' / 'The Wiki has no article titled Apple Inc.') - these quote the gold token from the intent but are wrong answers. 'no apple inc' / 'no article titled' cannot occur in a correct affirmative answer, and 'There is no doubt: the article is Apple Inc.' survives because it contains none of the excluded phrases. 'apple inc' is written without the trailing period so it matches both 'Apple Inc.' and 'Apple Inc'.",
"source": "batch_15.json"
}
}
},
{
"task_id": 31,
"intent": "How many searches does DuckDuckGo receive every day?",
"intent_template_id": 31,
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 100000000
},
"fuzzy_match": "100,000,000 (100 million)"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is one quantity written two ways ('100,000,000' and '100 million'); number_match parses both spellings, so no tolerance is needed. Extra numbers in the answer (dates, other stats) are harmless because only the required value must be present.",
"source": "batch_03.json"
}
}
},
{
"task_id": 32,
"intent": "Which of these two plane crashes appears to be deadlier, based on the number of casualties: (1) \"Airliner crashes in China, 42 killed\" and (2) \"Ethiopian airliner crashes into Mediterranean Sea\"? Mention the title of the article related to the deadlier incident.",
"intent_template_id": 32,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"llm_judge"
],
"reference_answers": {
"fuzzy_match": "(2) Ethiopian airliner crashes into Mediterranean Sea"
},
"revision": 1,
"annotation": {
"confidence": "low",
"subjective": true,
"gold_suspect": false,
"notes": "Comparative choice where BOTH article titles are quoted verbatim in the intent, so the correct/wrong signal is which crash the sentence *asserts* is deadlier -- a semantic attachment no deterministic verifier reliably captures. Attacks confirmed the two candidate deterministic recipes both fail on realistic answers: (a) an order-based regex requiring 'ethiopian' before 'china' FALSE-REJECTS a correct answer that establishes the China toll first ('Comparing the China crash that killed 42..., the Ethiopian one is deadlier') AND FALSE-ACCEPTS a wrong answer that names Ethiopian first but concludes China is deadlier; (b) must_exclude ['china','42'] under first_sentence FALSE-REJECTS the very common contrastive phrasing ('...deadlier, far more than the 42 in the China crash'). Because no combination of string/number/list verifiers separates correct from incorrect here, this task stays on llm_judge (subjective). Examples below document the discrimination the judge must make; they are not executed by the deterministic selfcheck.",
"source": "batch_04.json"
}
}
},
{
"task_id": 33,
"intent": "List the names of the countries mentioned in both of these news articles: \"Turbolinux adopted by China's largest bank\" and \"United States Homeland Security network monitors suspicious activity\".",
"intent_template_id": 33,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"united states |OR| u.s. |OR| usa |OR| america"
],
"must_exclude": [
"^(?!.*(?:\\bnot\\b|\\bno\\b|\\bneither\\b|\\bnor\\b|\\bexcept\\b|\\bexcluding\\b|\\bunlike\\b|other than|rather than|\\bwhereas\\b)[^.]{0,14}(?<![a-z0-9])china).*(?<![a-z0-9])china(?![a-z0-9])(?!.{0,34}(?:\\bnot\\b|n't|\\bno\\b|\\bnone\\b|\\black|\\babsent\\b|\\bmissing\\b|only in|only one|only appears|only mentioned|only listed|appears only|just in|just one|in one|in just|in only|in the first|one of|first article|one article)).*$"
],
"scope": "first_sentence",
"fuzzy_match": "United States"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: gold 'United States' sits inside the second article title in the intent and the distractor 'China' inside the first, so a plain must_include is compromised. Adversarial review: a blanket must_exclude 'china' false-rejected natural correct answers that rule China out in the same sentence ('the US is the only shared country, China is only in the first article'). Replaced it with a negation-aware regex that forbids 'china' only when it is listed AFFIRMATIVELY as a shared country (no negation/contrast marker within ~14 chars before or ~34 chars after). Residual (hence medium): a bare 'US' without periods is not in the must_include alternatives because adding pronoun 'us' would false-accept 'no shared country, but both tell us about security'.",
"source": "batch_06.json"
}
}
},
{
"task_id": 34,
"intent": "When you search for \"UFC\", which of the search results are actually related to UFC? Share the titles of those news articles. If none of the results are relevant, please state 'None'.",
"intent_template_id": 34,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"none |OR| no results |OR| no relevant |OR| no news article"
],
"must_exclude": [],
"scope": "first_sentence",
"fuzzy_match": "None"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Environment-verified: searching 'UFC' returns three results (a Togo election article, an anti-piracy article, and a Florida MMA-fight article), none actually about the UFC, so gold 'None' is correct. The verdict token is uninformative outside the leading position, so scope:first_sentence forces it up front. Reviewer widened must_include to a |OR| set because a correct agent may phrase the verdict as 'No results are related' / 'No relevant articles' rather than the literal 'None' (a bare 'none' entry word-boundary-rejects 'no results') -- these alternatives fire only when the whole set is declared non-relevant, so they do not admit a wrong answer that affirms one result. Medium: a contrived first sentence like 'None are the top story, but the MMA article is about UFC' would still slip through (inherent to any verdict-token match).",
"source": "batch_07.json"
}
}
},
{
"task_id": 35,
"intent": "How many articles did you find on Richard Stallman (articles that consist only of redirect pages should be excluded)?",
"intent_template_id": 35,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 2
},
"fuzzy_match": "Two"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count gold 'Two'; number_match parses both the word and the digit. Exact comparison, no tolerance. Full scope on purpose: agents often narrate the search before stating the count, so first_sentence would reject correct answers. Medium confidence because a wrong answer could in principle mention an unrelated '2' (e.g. '2 redirect pages') alongside a wrong count.",
"source": "batch_08.json"
}
}
},
{
"task_id": 36,
"intent": "Is there any news article regarding Salt Lake City that was published in 2024?",
"intent_template_id": 36,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no recipe. first_sentence scope keeps a justification such as 'there are no other 2024 articles' from tripping the must_exclude; 'no' is matched on word boundaries so 'not', 'none' and 'November' do not collide.",
"source": "batch_02.json"
}
}
},
{
"task_id": 37,
"intent": "Someone told me about an article where Tom Cruise spoke out against antidepressant drugs. Can you please find that article and tell me the title?",
"intent_template_id": 37,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"debates psychiatry",
"today"
],
"scope": "full",
"fuzzy_match": "Tom Cruise debates psychiatry on NBC's Today show"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Article title. 'Tom Cruise' is already in the intent, so it is not a usable anchor; the discriminating tokens are 'debates psychiatry' and 'Today'. 'today' is required separately (rather than as part of 'today show') so that markdown italics around the show name do not break the match. Both anchors are needed: the near-miss 'Tom Cruise debates Matt Lauer ... on NBC's Today show' carries 'today' but not 'debates psychiatry'.",
"source": "batch_05.json"
}
}
},
{
"task_id": 38,
"intent": "There is an article on Tom Cruise debating psychiatry. Do you think the publication year of the article is consistent with the year that the event occurred?",
"intent_template_id": 38,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| inconsistent |OR| not consistent |OR| does not match |OR| doesn't match |OR| do not match |OR| does not align |OR| doesn't align |OR| not aligned"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('No.'). first_sentence scope isolates the verdict from the justification (which routinely mentions both years and the word 'consistent'). Alternatives were deliberately narrowed to UNAMBIGUOUS negations: bare 'not' was removed because a wrong answer can use 'not' with the opposite polarity ('The years do not differ, so it is consistent.' means the publication year IS consistent = wrong). The kept phrasings ('no', 'inconsistent', 'not consistent', 'does not/doesn't match', 'does not/doesn't align', 'not aligned') can only express the 'No' verdict. Inherent yes/no crosstalk with other No-golds is unavoidable.",
"source": "batch_03.json"
}
}
},
{
"task_id": 39,
"intent": "How many articles are there on Morocco that were published in 2009?",
"intent_template_id": 39,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 1
},
"fuzzy_match": "One"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count question, gold spelled out ('One'); number_match parses both 'one' and '1'. The gold is a bare 'One', so the spec cannot additionally require the word 'article' (that would reject the gold itself). Medium confidence: 1 is a low-discriminative value and an answer that states a wrong total while mentioning '1' somewhere (e.g. '3 articles, 1 of them from 2010') would slip through. Realistic wrong answers state a different count and are rejected. The year 2009 in the answer is harmless because 1 is still required.",
"source": "batch_09.json"
}
}
},
{
"task_id": 40,
"intent": "Were these two articles published on the same day: Bayern beating Dortmund 5-4 on penalties in the German Super Cup, and Dortmund signing Ousmane Dembele?",
"intent_template_id": 40,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Straight yes/no gold, standard recipe. first_sentence keeps a trailing justification ('...no other article that day') from tripping the must_exclude. Word-boundary matching means 'no' cannot fire inside 'not'/'nothing'.",
"source": "batch_04.json"
}
}
},
{
"task_id": 41,
"intent": "Follow this navigation path: Search Boston, visit the fifth result from the first page, identify the second state in the body/content of the article, and search the state. Visit the third link from the search result and tell me the name of the first state in the content/body of the final article. If you encounter a redirect link at any point, then visit that link. If any of the articles are not found, then report the task as incomplete.",
"intent_template_id": 41,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"colorado"
],
"scope": "full",
"fuzzy_match": "Colorado"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Single named entity; neither the gold nor a competing state is named in the intent, so plain must_include is safe from trap 1. Full scope because this is a long navigation chain and correct answers frequently open with narration of the path. Residual risk (hence medium): if the intermediate state on the path is also Colorado, a wrong answer that reports the chain would contain the token.",
"source": "batch_10.json"
}
}
},
{
"task_id": 42,
"intent": "Navigate to the 11th article when you search \"murder case\". Then take the first two words from the main content of the visited article and search them. Report the name of the last article in the search results.",
"intent_template_id": 42,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"rocky anderson"
],
"scope": "full",
"fuzzy_match": "Wikinews interviews former Salt Lake City mayor and 2012 presidential candidate Rocky Anderson"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Long Wikinews headline; requiring the whole title would reject correct answers that paraphrase or truncate it. 'Rocky Anderson' is the unique, load-bearing part of the title and appears nowhere in the intent. Deliberately not requiring 'Salt Lake City' too -- a correct answer may shorten the headline to the interviewee's name.",
"source": "batch_01.json"
}
}
},
{
"task_id": 43,
"intent": "Could you list all the news articles on the most recent diesel emission scandal at Volkswagen?",
"intent_template_id": 43,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"engulfed by diesel emissions scandal |OR| engulfed by diesel emission scandal"
],
[
"emissions scandal may affect thousands more cars |OR| emission scandal may affect thousands more cars |OR| may affect thousands more cars"
],
[
"ceo resigns after emissions scandal |OR| ceo resigns after emission scandal"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "Volkswagen engulfed by diesel emissions scandal, Volkswagen emissions scandal may affect thousands more cars, Volkswagen CEO resigns after emissions scandal"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Three article titles must all be listed. Each item keeps the distinctive tail of its title rather than the full string, so a 'VW' abbreviation or a dropped leading 'Volkswagen' still matches, while the fragments remain unique enough that no single article can satisfy two items. No order is requested, so ordered stays false.",
"source": "batch_02.json"
}
}
},
{
"task_id": 44,
"intent": "List the names of all the animals mentioned in these articles: \"England: Fire at London Zoo kills aardvark, meerkats believed dead\", \"Three-car crash in New Hampshire on Frederick E. Everett Turnpike kills one\", and \"Wikinews interviews Ritchie Lai of NBA Asia about the gaming industry\".",
"intent_template_id": 44,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"aardvark |OR| aardvarks"
],
[
"meerkat |OR| meerkats"
],
[
"dog |OR| dogs"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "aardvark, meerkat, dog"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Unordered enumeration; singular/plural handled with |OR| because word-boundary matching makes 'meerkat' miss 'meerkats'. 'aardvark' and 'meerkats' appear in the article titles quoted in the intent, so the real discriminator is 'dog' (from the crash article) -- every negative example omits it. forbidden is left empty on purpose: a correct answer commonly contrasts ('the NBA interview mentions no animals such as cats or dogs'), so excluding candidate distractor animals would risk false rejects (guidelines trap 2). Medium confidence: an answer that lists the three plus a hallucinated extra animal would still pass -- the inherent leniency of list_match.",
"source": "batch_03.json"
}
}
},
{
"task_id": 45,
"intent": "Tell me the names of the articles where NASA scientists found some form of life in one of Neptune's satellites.",
"intent_template_id": 45,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no such article |OR| no such articles |OR| no such news |OR| no such report |OR| no such coverage |OR| no article |OR| no articles |OR| no relevant article |OR| no matching article |OR| no news article |OR| there is no such |OR| there are no such |OR| there is no article |OR| there are no articles |OR| there is no news |OR| there are no news |OR| does not exist |OR| doesn't exist |OR| do not exist |OR| don't exist |OR| no results |OR| could not find |OR| couldn't find |OR| cannot find |OR| can't find |OR| did not find |OR| didn't find |OR| unable to find |OR| found no |OR| find no |OR| ^none$"
],
"scope": "full",
"fuzzy_match": "No such article exists"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Unanswerable task; the only correct answer is a negative-existence claim. Adversarial review: the earlier bare alternatives 'there is no', 'there are no' and 'none' false-accepted hallucinated-article answers ('there is no doubt... the article X reports it', 'none of the other moons', '...there are no others'). Tightened every negation to be anchored to article/news/exist/find, and made the terse 'None.' answer exact via ^none$ so it cannot leak into a longer wrong sentence. Dropped a bare ^no$ anchor to cut cross-task collisions with yes/no golds ('No' is a weak answer to a 'tell me the names' question anyway). Full scope on purpose: correct answers often narrate the search first and state the verdict later. Medium because it remains an enumeration of phrasings; the residual crosstalk is with other tasks whose correct answer is also a genuine non-existence claim ('There is no article on X'), which no shape-based verifier can separate.",
"source": "batch_06.json"
}
}
},
{
"task_id": 46,
"intent": "How many articles did you find about the former prime minister of Bangladesh being sentenced to death?",
"intent_template_id": 46,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"none |OR| zero |OR| 0 |OR| no articles |OR| no article |OR| no news articles |OR| no matching articles |OR| not find any |OR| didn't find any |OR| couldn't find any"
],
"scope": "first_sentence",
"fuzzy_match": "None"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'None' is a zero count that number_match cannot parse (extract_numbers('None') is empty), so string_match with the zero/none family is used instead. first_sentence keeps a trailing justification ('...no articles were about the death sentence') from rescuing a wrong count stated up front. Digit boundary keeps '10 articles' from matching the '0' alternative. Medium because the gold is a low-discriminative single word.",
"source": "batch_11.json"
}
}
},
{
"task_id": 47,
"intent": "Does any article on Richard Dawkins appear in the search results when you search \"Richard Stallman\"?",
"intent_template_id": 47,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Plain yes/no gold ('Yes'). must_include ['yes'] on the first sentence already discriminates: every realistic wrong answer takes the 'No' branch and carries no leading 'yes'. A must_exclude ['no'] was DROPPED because it is redundant for rejecting the wrong verdict (no wrong answer says 'yes') and only introduces false rejects -- a correct verbose answer such as 'Yes, a Dawkins article appears, though there is no other match' legitimately contains 'no' in its first sentence. Asymmetric with the 'No' tasks in this batch: there 'yes' rarely appears in a genuine negative answer, so must_exclude ['yes'] is kept.",
"source": "batch_05.json"
}
}
},
{
"task_id": 48,
"intent": "When was the article about the Texas woman who murdered her entire family published?",
"intent_template_id": 48,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"december |OR| dec |OR| ^.*(?<![0-9])(12[-/.](19|2024)|(19|2024)[-/.]12)(?![0-9]).*$",
"19 |OR| 19th",
"2024"
],
"scope": "full",
"fuzzy_match": "2024-12-19 (December 19, 2024)"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Date gold '2024-12-19 (December 19, 2024)'. Decomposed into three required tokens (month, day, year) because the containment pattern only bridges hyphens/whitespace, not the comma in 'December 19, 2024'. Two fixes over the naive ['december |OR| 12','19','2024']: (1) the month entry now also accepts the abbreviation 'dec' (word-boundary, so it never fires inside 'december'/'decade') AND requires the numeric month '12' to sit in a date context (adjacent to 19 or 2024 via - / .). This blocks the timestamp false-accept where a wrong month carried a '12' clock reading ('November 19, 2024 at 12:30 PM'), while still accepting ISO 2024-12-19, 12/19/2024, 19-12-2024 etc. (2) the day entry accepts the ordinal '19th', which plain '19' rejects on the word boundary before 'th'. Verified: all of ISO / US-slash / EU-slash / dotted / 'Dec.' / '19th' forms pass; wrong day, wrong month (incl. iso 2024-11-19), wrong year, and the 12-timestamp near-miss all fail.",
"source": "batch_04.json"
}
}
},
{
"task_id": 49,
"intent": "Did the 2024 news on Mauritanian refugees returning from Senegal come before the news of six soldiers being killed in a Senegal ambush? If one or none of the articles can be found, then simply answer no.",
"intent_template_id": 49,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no rule. First-sentence scope keeps the justification tail ('...the ambush report is not earlier') from tripping the 'no' exclusion.",
"source": "batch_06.json"
}
}
},
{
"task_id": 50,
"intent": "Did you find any news article about a robbery on the front page (if there are multiple such articles, pick the one with the biggest headline)? If so, where did the crime take place?",
"intent_template_id": 50,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"louvre"
],
"must_exclude": [
"^no\\b.*$",
"no robbery |OR| did not find |OR| didn't find |OR| no article about |OR| no such article"
],
"scope": "full",
"fuzzy_match": "Yes, Louvre Museum in Paris"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "'Louvre' is the discriminative half of the gold; 'Paris' is not required because 'at the Louvre Museum' alone answers the location question. scope stays 'full' because the location is usually given in a second sentence after the 'Yes'. Reviewer added a second must_exclude entry: the ^no anchor only catches answers that literally open with 'No', but a wrong answer can deny the robbery without leading with 'No' ('The front page has no robbery article, though a Louvre exhibition is featured') and still contain the token 'louvre' -- so 'no robbery'/'did not find'/'no such article' are excluded too. These negations cannot appear in a correct answer (which affirms the robbery); the natural contrastive 'no other robbery article' is safe because 'other' breaks the 'no robbery' adjacency.",
"source": "batch_07.json"
}
}
},
{
"task_id": 51,
"intent": "Was there any news on English people reporting crime using Facebook?",
"intent_template_id": 51,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| none |OR| nothing |OR| n/a |OR| nor |OR| didn't |OR| couldn't |OR| wasn't |OR| isn't"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Canonical yes/no rule. first_sentence keeps a justification tail ('... does not name the force ...') from rescuing a 'Yes' verdict, and the |OR| list covers the negation wordings an agent uses instead of a bare 'No' ('not', 'could not find', 'no such news').",
"source": "batch_08.json"
}
}
},
{
"task_id": 52,
"intent": "Perform the following steps: Search \"Pokémon\", visit the first search result, search the name of the first city in the visited article, visit the thirteenth search result, and tell me the name of the first city in that visited article.",
"intent_template_id": 52,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"toronto"
],
"scope": "full",
"fuzzy_match": "Toronto"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single named entity; no city name appears in the intent, so there is no distractor to exclude and plain must_include over the full answer is safe. | SPOT-CHECK: gold value \"Toronto\" is correct, but the accented query \"Pokemon\" may tokenize to nothing in the search engine, making the task hard to execute as worded. | GOLD CORRECT ('Toronto', env-verified). Remaining concern is task executability, not the gold: the search engine's tokenizer may drop the accented query 'Pokemon'. Left for human review of the task, not the answer.",
"source": "batch_12.json"
}
}
},
{
"task_id": 53,
"intent": "Does the first search result for \"David Suzuki\" appear among the search results for \"Toronto\"?",
"intent_template_id": 53,
"sites": [
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no recipe. first_sentence scope isolates the verdict so a correct 'Yes' followed by justification containing 'no' is not rejected. Word-boundary matching means 'Toronto' does not trip must_exclude ['no'] and 'does not' does not either.",
"source": "batch_09.json"
}
}
},
{
"task_id": 54,
"intent": "What is the maximum available length for each of the following items: the Lindy DisplayPort to HDMI cable and the Kodak HDMI Mini Cable? Answer in metres.",
"intent_template_id": 54,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"values": [
5,
1.8
]
},
"fuzzy_match": "5 metre and 1.8 metre"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Two measurements must both be present; exact comparison, since these are catalogue lengths, not estimates. '5 m' / '5.0 metres' variants are handled by the number parser (5.0 == 5). Medium confidence: number_match cannot detect an answer that swaps the two cables' lengths ('Lindy 1.8 m, Kodak 5 m'). A name->number binding regex was rejected because the common 'respectively' phrasing ('the Lindy and Kodak cables are 5 m and 1.8 m respectively') decouples names from numbers, so any binding spec would false-reject correct answers - a worse failure than the residual swap false-accept. The swap therefore cannot be added as a negative_example.",
"source": "batch_02.json"
}
}
},
{
"task_id": 55,
"intent": "Which cable is longer: the white Type-C to HDMI Cable or the Type-C USB Charger Cable?",
"intent_template_id": 55,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"hdmi"
],
"must_exclude": [
"^(?:(?!\\b(?:than|unlike|versus|vs|over|compared|beat|beats|beaten|rather than|instead of)\\b[-\\s a-z0-9]{0,15}usb charger).)*?\\busb charger cable\\b(?:(?!\\bhdmi\\b|\\bnot\\b|[.;]).)*?\\blonger\\b.*$",
"^(?:(?!\\bnot\\b|isn|aren|wasn|weren).)*\\b(?:same length|equal length|equally long|identical (?:in )?length|same size)\\b.*$"
],
"scope": "full",
"fuzzy_match": "White Type-C to HDMI Cable"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: both options are named in the intent, so a wrong answer still contains the gold token 'hdmi'. must_include['hdmi'] keeps the answer on-topic; the discrimination is done by two regex exclusions. Exclusion 1 fires only when the USB Charger Cable is the subject asserted to be 'longer' (any words, not just 'is/was', so 'measures 10 ft, longer' is caught). Its leading guard '(?!than|unlike|versus|compared ... usb charger)' and the inner '(?!hdmi)' block the two correct phrasings that mention the USB cable as the loser -- 'HDMI is longer than the USB Charger Cable' and 'the HDMI cable, unlike the USB Charger Cable, is the longer one' -- so they are not false-rejected. Exclusion 2 catches the 'they are the same length' wrong answer (guarded against 'not the same length'). Medium: an exotic wrong answer that asserts USB superiority without the word 'longer'/'same length' (e.g. 'the USB cable wins on length') could still slip through.",
"source": "batch_08.json"
}
}
},
{
"task_id": 56,
"intent": "What is the total cost if I buy all the 100% polyester skirts available in the shop? If there are multiple variants (sizes, colors) of the same item, include only one.",
"intent_template_id": 56,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 9.99
},
"fuzzy_match": "$9.99"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Currency total. Exact comparison (no tolerance) on purpose: an abs_tolerance of 0.01 would accept an off-by-one-cent answer such as $9.98, and every genuinely correct answer reports the price verbatim. Residual leniency: an answer that double-counts variants but still shows the unit price ('two at $9.99, total $19.98') would pass; no deterministic rule separates that from a correct answer that quotes the unit price.",
"source": "batch_12.json"
}
}
},
{
"task_id": 57,
"intent": "What would be the minimum cost to buy almonds and rice crackers?",
"intent_template_id": 57,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 105.46
},
"fuzzy_match": "$105.46"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Price total. Exact comparison with no tolerance: the gold is a precise cent figure the agent reads off two product pages and adds, so an off-by-a-cent answer is a real arithmetic error, not a rounding artifact. number_match ignores the '$' and any per-item prices the agent shows alongside the total, so a breakdown answer still passes.",
"source": "batch_13.json"
}
}
},
{
"task_id": 58,
"intent": "List all the different color options available for the Nautica and GRADO SR325x headphones.",
"intent_template_id": 58,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
"^.*black[^a-z]{0,3}black.*$",
"^.*navy[^a-z]{0,3}navy.*$",
"^.*navy[^a-z]{0,3}red.*$",
"^.*navy[^a-z]{0,3}yellow.*$",
"^.*white[^a-z]{0,3}nude.*$",
"^.*white[^a-z]{0,3}off[^a-z]{0,3}white.*$"
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "black black, navy navy, navy red, navy yellow, white nude, white off white"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Six two-word colour options. Plain containment would break on 'Black/Black' or 'Navy - Red' because the matcher only bridges hyphens and whitespace, so each item is a regex leaf allowing up to three non-letter characters between the two words. Medium confidence: an answer that lists all six plus an invented seventh option would still pass.",
"source": "batch_03.json"
}
}
},
{
"task_id": 59,
"intent": "What is the total price of all the rackets and tennis balls available in the shop? If there are multiple variants of the same item, pick one only.",
"intent_template_id": 59,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"zero |OR| 0 |OR| none |OR| no rackets |OR| no racket |OR| no tennis balls |OR| not available |OR| unavailable |OR| out of stock |OR| nothing |OR| no products |OR| no items |OR| not in stock"
],
"must_exclude": [
"^.*\\$\\s*0*[1-9][0-9,]*(\\.[0-9]+)?.*$",
"^.*(?<![0-9])0*[1-9][0-9,]*(\\.[0-9]+)?\\s*(dollars|dollar|usd).*$"
],
"scope": "full",
"fuzzy_match": "Zero, none of the products are available in the shop"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a zero total plus the reason (nothing is in stock). Dropped the earlier number_match:{value:0} gate, which had TWO defects proven by attack: it FALSE-REJECTED correct word-only answers that never write a numeral ('None of the products are available', 'they are all unavailable'), and it FALSE-ACCEPTED the '0 rackets ... $19.99' near-miss (a standalone 0 as a count plus a real positive total). The replacement keeps the broad must_include 'nothing-is-available' list (high recall, accepts numeral-free answers) and adds two must_exclude regexes that fire on any *positive* currency amount -- '$19.99' style and '19.99 dollars/usd' style -- while deliberately not matching '$0'/'$0.00'/'0 dollars'. This blocks every wrong answer that reports a positive total, whether the 0 leaks in as a count or not. Residual (hence medium): a wrong answer that pairs an unavailability phrase with a *bare* positive number carrying no currency marker ('no rackets, total 45') would leak, but that phrasing is self-contradictory and unlikely; and a correct answer that quotes a live per-item price while asserting unavailability would be over-rejected.",
"source": "batch_04.json"
}
}
},
{
"task_id": 60,
"intent": "Is there any skirt that costs less than purchasing at least one pair of jeans?",
"intent_template_id": 60,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no recipe. first_sentence keeps a price-comparison justification ('... no cheaper jeans exist') out of scope; the must_exclude then catches contradictory verdicts such as 'Yes, but no skirt is cheaper than jeans'.",
"source": "batch_07.json"
}
}
},
{
"task_id": 61,
"intent": "What's the replacement guarantee or warranty period of the 20x50 binoculars?",
"intent_template_id": 61,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match",
"number_match"
],
"reference_answers": {
"must_include": [
"^.*(?<![0-9])(?:3|three)[-\\s]*years?(?![a-z]).*$"
],
"number_match": {
"value": 3
},
"fuzzy_match": "Three years"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'Three years' = quantity + unit. The original spec required only the token 'year' plus a 3 anywhere, which a wrong answer like 'a 1-year guarantee; replacements ship within 3 business days' satisfies (incidental 3 next to 'year' elsewhere). Reviewer replaced the bland must_include with an anchored regex that requires the 3 (or the word 'three') to sit immediately before 'year(s)'. The (?<![0-9]) guard keeps '13 years' out (its 3 is preceded by 1); (?![a-z]) keeps the unit exact. number_match(3) is retained as a redundant guard. The '20x50' in the intent contributes a stray 20/50, which is harmless. Accepts 'three years', '3 years', '3-year', 'three-year'; rejects '3 months', 'one/two years', '13 years', and a stray 3 that is not adjacent to the unit.",
"source": "batch_07.json"
}
}
},
{
"task_id": 62,
"intent": "Is the Wii U Microphone compatible with the Wii system?",
"intent_template_id": 62,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| none |OR| never |OR| incompatible |OR| cannot |OR| isn't |OR| doesn't |OR| wasn't |OR| aren't |OR| won't |OR| can't |OR| ^.*\\bwii u\\b[^.;]{0,15}\\bonly\\b.*$ |OR| ^.*\\bonly\\b[^.;]{0,20}\\bwii u\\b.*$"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no rule, first_sentence, must_exclude['yes']. The correct answer is 'No' (only Wii U compatible). Instead of a bare 'only' alternative (which would false-accept an affirmative like 'compatible with the Wii, only the older model'), the 'only' case is expressed as regexes that require 'only' next to 'Wii U' ('Wii U only' / 'only ... Wii U'), the sole phrasing under which a correct answer relies on 'only'. The contraction alternatives cover 'isn't/doesn't/won't' which contain no standalone 'not'. 'Wii' is never excluded -- a correct answer must name both systems.",
"source": "batch_08.json"
}
}
},
{
"task_id": 63,
"intent": "How many mattresses are available in the shop? (Include similar products like mattress sofas and toppers, but not related products like bed frames.)",
"intent_template_id": 63,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 12
},
"fuzzy_match": "12"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Plain count; exact match, no tolerance. number_match also accepts the spelled-out 'twelve'.",
"source": "batch_14.json"
}
}
},
{
"task_id": 64,
"intent": "How many sound bars are available under 150 USD?",
"intent_template_id": 64,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 2
},
"fuzzy_match": "Two"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count gold 'Two'; number_match handles the word, the digit and the co-occurring price threshold ('under $150') without confusion. Exact comparison. Medium because a bare '2' could appear incidentally in a wrong answer that also lists prices.",
"source": "batch_08.json"
}
}
},
{
"task_id": 65,
"intent": "How many telescopes are available for purchase?",
"intent_template_id": 65,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 1
},
"fuzzy_match": "One"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count question with a spelled-out gold ('One'); number_match handles 'one', '1' and 'a single' is covered by the accompanying digit in practice. Gold is a bare 'One', so no extra keyword ('telescope') can be required without failing the gold check. Medium confidence for the same low-discriminative-value reason as task 39.",
"source": "batch_09.json"
}
}
},
{
"task_id": 66,
"intent": "How many Crumbl Cookies are available in the shop?",
"intent_template_id": 66,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"zero |OR| 0 |OR| none |OR| no crumbl |OR| no results |OR| no products |OR| no items |OR| no listings |OR| no matching |OR| no such |OR| not available |OR| not carry |OR| not sell |OR| not stock |OR| not offer |OR| not list |OR| not have any |OR| does not have |OR| not find |OR| couldn't find |OR| unable to find |OR| aren't any |OR| isn't any"
],
"must_exclude": [
"^.*(?<![a-z0-9])(?:[1-9][0-9]*|one|two|three|four|five|six|seven|eight|nine|ten|eleven|twelve|some|several|multiple|various|many|numerous|a +few|a +couple|lots +of|plenty +of) +(?:different +|distinct +|separate +)?crumbl.*$"
],
"scope": "full",
"fuzzy_match": "Zero"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'Zero' cannot use number_match: the most natural correct answers ('There are no Crumbl Cookies in the shop') contain no parseable number at all and NumberMatchEvaluator returns 0.0 when it finds none. So the include list enumerates zero-quantity phrasings, and the regex exclude kills any answer that states a positive quantity of Crumbl items -- numeric or spelled ('3 Crumbl Cookies', 'one Crumbl Cookie') and vague ('a few Crumbl cookies', 'several Crumbl'), which is what a wrong answer looks like even when it also carries an incidental negation. Medium because a wrong answer with an unrelated negation and no quantity token ('...but does not carry the mini size') could still slip through the include list.",
"source": "batch_10.json"
}
}
},
{
"task_id": 67,
"intent": "How many leggings products appear when you search for the word \"leggings\"?",
"intent_template_id": 67,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 3
},
"fuzzy_match": "Three"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Plain count; number_match parses both 'Three' and '3'. Exact comparison, no tolerance. Full scope so a preamble sentence ('I searched for leggings.') does not starve the matcher (first_sentence would false-reject a preamble-then-count answer). Medium only because an incidental integer 3 elsewhere in a wrong answer (e.g. a $3 price alongside a wrong count) would pass; that cannot be tightened without introducing false rejects, and $130.00 / $45.00 style prices do not match (word-boundary/decimal parsing verified with the oracle).",
"source": "batch_11.json"
}
}
},
{
"task_id": 68,
"intent": "I am looking for a music player to play mini vinyl records. It must be small, portable, and in black. If you find this product, could you place the order and share the confirmation code? If there is no such product or if any of the criteria are not satisfied, then please let me know.",
"intent_template_id": 68,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"59ec38cae8"
],
"scope": "full",
"fuzzy_match": "59EC38CAE8"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is an order confirmation code - a unique opaque token, so a bare must_include is exact and cannot be produced by an agent that did not place the order. Word-boundary matching prevents a longer alphanumeric string from matching accidentally. The conditional 'if not, let me know' branch is covered because any such answer lacks the code.",
"source": "batch_15.json"
}
}
},
{
"task_id": 69,
"intent": "Could you please order the following products and share the confirmation codes with me: Hauklie Men's Polo Shirt (1 grey, size X-Large, and 1 black, size Large) and a GXP Side Table?",
"intent_template_id": 69,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"cfd21014e0"
],
[
"4813d26cd2"
],
[
"dd78fb6de6"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "CFD21014E0, 4813D26CD2, DD78FB6DE6"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Three confirmation codes; all must be reported. Not ordered — the intent does not fix an order for the three purchases. Codes are opaque alphanumerics, so word-boundary containment is exact.",
"source": "batch_05.json"
}
}
},
{
"task_id": 70,
"intent": "Place an order for a pair of jeans that are made of at least 60% cotton. If there are multiple options, pick any. The size must be M. Once you complete the order, share the completion code.",
"intent_template_id": 70,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"c97a8fe47f"
],
"scope": "full",
"fuzzy_match": "C97A8FE47F"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Order completion code. A code string cannot be confused with a lookalike, so must_include is exact enough. Medium because it assumes the WebShop completion code is deterministic across runs; if codes are session-dependent this task should move to a program/network check.",
"source": "batch_16.json"
}
}
},
{
"task_id": 71,
"intent": "Place an order for a blue superhero T-shirt with a Flash logo on it. The size should be M. Once you complete the order, share the completion code.",
"intent_template_id": 71,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"50C1CE874E"
],
"scope": "full",
"fuzzy_match": "50C1CE874E"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Opaque completion code. Case-insensitive word-boundary containment; no other code can collide and the code does not appear in the intent.",
"source": "batch_01.json"
}
}
},
{
"task_id": 72,
"intent": "What color is most prominent on the exterior body of the navy and yellow Nautica headphones?",
"intent_template_id": 72,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"navy"
],
"must_exclude": [
"^.*?(?<!and )(?<!and-)(?<!& )(?<!not )(?<!with )(?<!than )(?<!over )yellow.*$"
],
"scope": "first_sentence",
"fuzzy_match": "Navy"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: both the gold ('navy') and the wrong option ('yellow') are named in the intent as part of the product name, so a wrong answer trivially contains 'navy'. Plain must_exclude ['yellow'] would reject the very common correct restatement '...of the navy and yellow Nautica headphones is navy'. The exclusion is therefore a regex that fires on a 'yellow' only when it is NOT preceded by one of the connectives that mark a non-answer mention: 'and ' (product name), 'not '/'than '/'over ' (contrastive verdict 'navy, not yellow' / 'navy rather than yellow'), or 'with ' (accent clause 'navy, with yellow on the trim'). This keeps the guideline trap-2 contrastive and accent phrasings from false-rejecting, while a wrong answer that asserts yellow as the color ('is yellow', 'mostly yellow', bare 'Yellow', 'Yellow is most prominent') still trips because that yellow is preceded by a copula/adverb/start, not by a safe connective.",
"source": "batch_12.json"
}
}
},
{
"task_id": 73,
"intent": "What is the color of the TASYL USB lightning camera adapter?",
"intent_template_id": 73,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"white"
],
"must_exclude": [
"black"
],
"scope": "first_sentence",
"fuzzy_match": "White"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a single colour and no colour is named in the intent, so must_include['white'] carries the answer. The must_exclude['black'] plus first_sentence scope handles the realistic near-miss where the agent lists both colours and picks the wrong one ('It comes in white and black; the one listed is black'), which a plain must_include would accept. first_sentence keeps a trailing justification that mentions other variants from tripping the exclusion. Medium confidence because a correct answer phrased 'white, not black' in the leading sentence would be rejected -- an unlikely but possible phrasing for a one-word colour question.",
"source": "batch_13.json"
}
}
},
{
"task_id": 74,
"intent": "Search for the word \"camera.\" Among the search results, which of the following colors is most common in the product pictures: white, blue, black, red, cyan, or green?",
"intent_template_id": 74,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"black"
],
"must_exclude": [
"white",
"blue",
"red",
"cyan",
"green"
],
"scope": "first_sentence",
"fuzzy_match": "Black"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap-1: every option is named in the intent, so a wrong answer ('white, then black') would contain the gold token. Verdict sentence must name black and none of the competing colours. Medium: a correct answer that re-lists all six options in its first sentence would be rejected.",
"source": "batch_14.json"
}
}
},
{
"task_id": 75,
"intent": "Is there a remote in the product picture of the 4-Channel Wireless Bluetooth Power Amplifier?",
"intent_template_id": 75,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no recipe with first_sentence scope so a correct 'Yes' followed by 'the remote is small and there is no other accessory' is still accepted. 'not' and 'none' do not match must_exclude ['no'] under word-boundary matching.",
"source": "batch_09.json"
}
}
},
{
"task_id": 76,
"intent": "Which of the following items are available in the shop: Ice-cream, Dog food, Mushroom, Superglue?",
"intent_template_id": 76,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"mushroom"
],
"must_exclude": [
"ice-cream |OR| icecream",
"dog food",
"superglue"
],
"scope": "first_sentence",
"fuzzy_match": "Mushroom"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: all four candidate items are named in the intent, so a wrong answer ('Ice-cream and Mushroom are available') would satisfy a plain must_include. Standard recipe: first_sentence scope, require the correct item, exclude the three distractors from the verdict sentence. A correct answer is free to list the unavailable items after the verdict sentence. Medium because a correct answer that crams the negatives into the same sentence with a semicolon ('Mushroom is available; Ice-cream, Dog food and Superglue are not') would be rejected.",
"source": "batch_15.json"
}
}
},
{
"task_id": 77,
"intent": "I am looking for a tooth powder that contains fluoride, as I heard it is good for dental health. It would be great if the product is also herbal and vegan. Please tell me the product name of the best match you find.",
"intent_template_id": 77,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"eva smokers |OR| eva smoker"
],
"scope": "full",
"fuzzy_match": "2 Pcs Eva Smokers with Fluorine Natural Herbal Halal Islamic Toothpowder Powder 40gm"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Product-name answer. The only token combination unique to the gold product is 'Eva Smokers' — the rest of the title ('Fluorine', 'Herbal', 'Toothpowder', '40gm') is generic for this category and would let a different tooth-powder product pass. The singular alternative covers 'Eva Smoker's'. Requiring only the distinctive brand fragment lets an agent shorten or reorder the very long title.",
"source": "batch_09.json"
}
}
},
{
"task_id": 78,
"intent": "Does the Salt & Sugar Bundle Kit reduce the appearance of acne scars?",
"intent_template_id": 78,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes |OR| does reduce |OR| reduces |OR| helps reduce |OR| can reduce"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold. first_sentence isolates the verdict from any justification. 'reduces' is offered as an alternative because a correct answer may assert the claim without the literal word 'yes'; the negated form 'does not reduce' cannot match either alternative ('reduce' != 'reduces' under word-boundary matching, and 'does reduce' is not contained in 'does not reduce'). 'not' is deliberately NOT excluded (trap 2) so hedged-but-correct answers survive.",
"source": "batch_10.json"
}
}
},
{
"task_id": 79,
"intent": "How many times does the phrase \"baking soda\" appear on the Arm & Hammer Toothpaste product page (including Description, Features, Reviews)?",
"intent_template_id": 79,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 8,
"scope": "full"
},
"fuzzy_match": "Eight times"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A count ('Eight times'). number_match parses both the word 'eight' and the digit 8. A verbose answer that also breaks the count down by section still contains 8.",
"source": "batch_16.json"
}
}
},
{
"task_id": 80,
"intent": "Is there any pink USB-C charging cable available in the shop? If so, please place the order for one and share the confirmation code with me.",
"intent_template_id": 80,
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^no(?![a-z0-9]).*$ |OR| ^none(?![a-z0-9]).*$ |OR| no pink |OR| no usb |OR| no cable |OR| no charging |OR| no such |OR| no matching |OR| no results |OR| none available |OR| not available |OR| not carry |OR| not sell |OR| not stock |OR| not offer |OR| not have |OR| not find |OR| couldn't find |OR| could not find |OR| unable to find |OR| isn't any |OR| aren't any |OR| not any"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No pink USB-C charging cable is available"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Effectively a yes/no gold with a conditional follow-up: since no pink cable exists there is no confirmation code to report, so the only correct answer is a negative verdict. Scoped to the first sentence and must_exclude 'yes' so that 'Yes, I ordered one...' fails even when the tail mentions unavailability. The include list is a regex requiring the verdict sentence to *open* with 'no'/'none', plus negation phrases bound to a verb or to the product; that keeps it from firing on an incidental 'no' buried inside an affirmative answer.",
"source": "batch_10.json"
}
}
},
{
"task_id": 81,
"intent": "Find the most recent sports event mentioned in Brazil's Wikipedia article. Can you find a news article about that event? If so, please tell me the title of the news article.",
"intent_template_id": 81,
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"rio de janeiro to host 2016 olympics |OR| rio de janeiro to host the 2016 olympics |OR| rio to host 2016 olympics"
],
"scope": "full",
"fuzzy_match": "Rio de Janeiro to host 2016 Olympics"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The task asks for a news article title, so the whole distinctive title phrase is required rather than its component tokens. Requiring only 'rio de janeiro' + '2016' + 'olympics' would accept the common wrong answer that identifies the event but reports that no news article exists.",
"source": "batch_02.json"
}
}
},
{
"task_id": 82,
"intent": "I need you to cross-reference something. Go to the Paris Agreement article on Wiki and find the last article in the 'Related Pages' or 'See also' section. Search the title of that article on News, visit the top result, and check if the news article contains the word 'Russia'.",
"intent_template_id": 82,
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no recipe. The verdict comes first and the cross-reference trail ('the last See also entry was ...') stays outside the first_sentence scope, so 'no' can be excluded safely.",
"source": "batch_02.json"
}
}
},
{
"task_id": 83,
"intent": "Find the country of origin of the rice used in the Crunchmaster Rice Crackers. Visit the Wikipedia article on that country and tell me the last word of the first paragraph.",
"intent_template_id": 83,
"sites": [
"wiki",
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"people"
],
"scope": "full",
"fuzzy_match": "people"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 3: 'people' is a low-discriminative token that can appear incidentally in a two-hop answer that also names the country. Scoping to the first sentence would be stricter but rejects the very common correct shape 'The rice comes from Thailand. The last word of the first paragraph is people.', so full scope is used. Negatives probe wrong last-words including one that gets the intermediate country right.",
"source": "batch_10.json"
}
}
},
{
"task_id": 84,
"intent": "Verify if the BioCorneum Advanced Scar Treatment Gel from Shop is FDA-cleared. If so, then search \"Food and Drug Administration\" on Wiki and tell me when the agency was formed. Otherwise, search \"Food & Drug Administration\" on News and tell me the title of the first search result.",
"intent_template_id": 84,
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"1906"
],
"scope": "full",
"fuzzy_match": "1906"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Conditional task whose correct branch ends in a year. A year is literal digits with no magnitude ambiguity, so string_match is preferred over number_match. Full scope is required: correct answers commonly open with the FDA-cleared verdict and give the year in a later sentence. The competing years an agent could report (1927 rename, 1930 FDA name, 1938 FD&C Act) share no digits with 1906, and the wrong branch returns a news headline with no year at all.",
"source": "batch_04.json"
}
}
},
{
"task_id": 85,
"intent": "Are there any news articles about the Monopoly board game? If there are none, place an order for the Monopoly board game at the shop. Otherwise, order any other board game. In either case, share the order's confirmation code at the end.",
"intent_template_id": 85,
"sites": [
"news",
"webshop"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"monopoly",
"not available |OR| unavailable |OR| isn't available |OR| not sold |OR| does not sell |OR| doesn't sell |OR| not carry |OR| does not carry |OR| doesn't carry |OR| not stocked |OR| does not stock |OR| out of stock |OR| not in the shop |OR| not offered |OR| no monopoly board game |OR| does not have a monopoly |OR| doesn't have a monopoly"
],
"must_exclude": [
"i ordered |OR| i placed an order |OR| i have ordered |OR| i purchased |OR| i bought |OR| successfully ordered |OR| successfully placed",
"^.*(?<![a-z0-9])(?=[0-9a-f]{0,9}[a-f])[0-9a-f]{10}(?![a-z0-9]).*$"
],
"scope": "full",
"fuzzy_match": "The Monopoly board game is not available in the shop."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "The intent demands a confirmation code but the gold reports the shop does not carry Monopoly, so no order can be placed and there is no code. Spec requires the subject ('monopoly') plus a shop-unavailability statement. Adversarial pass added the second must_exclude: a regex forbidding any 10-character hex-style token that contains at least one a-f letter (i.e. any confirmation code) -- this closes the draft's hole where a passive-voice 'a different board game was ordered; the confirmation code is 3F8A21C0B4' (which the first-person must_exclude missed) plus an incidental 'not offered' still passed. A correct answer contains no such code. Medium retained because the branch logic is complex.",
"source": "batch_11.json"
}
}
},
{
"task_id": 86,
"intent": "What is the title of the 11th search result when you search for the name of the first notable school shooting mentioned in the school shooting Wiki article?",
"intent_template_id": 86,
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"football coach",
"shot dead |OR| shot |OR| killed",
"iowa"
],
"scope": "full",
"fuzzy_match": "High school football coach shot dead at school gym in Iowa"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is an article headline. Requiring the three content-bearing anchors ('football coach', the shooting verb, 'Iowa') instead of the verbatim string tolerates light paraphrase ('A high school football coach was shot dead...') while still pinning the exact headline: no other plausible result combines a football coach with Iowa.",
"source": "batch_03.json"
}
}
},
{
"task_id": 87,
"intent": "Is there a Wiki article on the video game associated with the Nintendo Switch travel case found in the shop? If so, identify the main character featured on that game's cover and tell me when that character first appeared.",
"intent_template_id": 87,
"sites": [
"wiki",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"1981"
],
"scope": "full",
"fuzzy_match": "1981"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a bare year, so literal-digit string_match is the right verifier (no magnitude ambiguity, unlike number_match). The gold cannot require the character name too -- gold is only '1981', and the selfcheck scores the gold itself -- so the year is the sole anchor. The year does not appear in the intent and word-boundary matching stops it matching inside a longer digit run.",
"source": "batch_13.json"
}
}
},
{
"task_id": 88,
"intent": "Order 24 packets of Savannah's Candy Box. Before placing the order, verify that there is no negative news about the product. If there is, then don't place the order and let me know. Otherwise, share the confirmation code of the order.",
"intent_template_id": 88,
"sites": [
"news",
"webshop"
],
"start_url": "__WEBSHOP__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"07602B13BE"
],
"scope": "full",
"fuzzy_match": "07602B13BE"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Opaque confirmation code. Its presence also implies the agent took the 'no negative news -> place the order' branch, so no extra check is needed. Leading zero survives normalization because matching is textual, not numeric.",
"source": "batch_01.json"
}
}
},
{
"task_id": 89,
"intent": "Look up Organic Diced Pear in the Shop and check the product description. Identify the vitamin mentioned in the description and visit its article on Wiki. Does the fruit pear appear in that article?",
"intent_template_id": 89,
"sites": [
"wiki",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| doesn't |OR| isn't |OR| does not |OR| never |OR| absent"
],
"must_exclude": [
"yes"
],
"scope": "full",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold. Switched scope from first_sentence to full: this is a multi-step task where a correct answer often identifies the vitamin in its opening sentence and delivers the 'No' in the next one ('The description mentions Vitamin C. No, the pear does not appear.') -- first_sentence FALSE-REJECTED exactly that shape. Under full scope the negation list (no/not/doesn't/isn't/does not/never/absent) is what carries a correct answer, and must_exclude ['yes'] rejects the affirmative near-miss even when it sneaks in a stray 'not' ('Yes, pear does appear; it is not absent'). must_exclude stays limited to 'yes' per trap 2 -- 'vitamin c' and 'pear' must remain allowed. Residual is only the rare correct answer that uses a 'yes' filler in its justification.",
"source": "batch_04.json"
}
}
},
{
"task_id": 90,
"intent": "Search for \"Vitamin K\" on Wiki and identify all the vegetables listed there as sources of vitamin K. How many of those vegetables are available in the shop?",
"intent_template_id": 90,
"sites": [
"wiki",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"none |OR| zero |OR| 0 |OR| no vegetables |OR| no vegetable |OR| not one |OR| not a single |OR| none of |OR| not any of |OR| do not carry any |OR| does not carry any |OR| doesn't carry any |OR| don't carry any |OR| do not stock any |OR| does not stock any |OR| doesn't stock any |OR| don't stock any |OR| do not have any |OR| does not have any |OR| doesn't have any"
],
"scope": "first_sentence",
"fuzzy_match": "None"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'None' is again an unparseable zero count, so string_match carries it. Adversarial pass replaced the draft's loose 'any of them / any of those' alternatives (which false-accepted a rhetorical 'Are any of them available? Yes, two.') with negation-anchored forms ('does not stock any', 'does not carry any', 'not any of', 'none of'), which still admit the common correct phrasing 'the shop does not carry any of the vegetables listed'. first_sentence prevents a trailing 'none of the others' clause from rescuing a wrong count. Medium: a single-sentence 'only one ... none of the rest' would still slip through the bare 'none' alternative, but excluding counts would false-reject correct 'none of the four listed' answers.",
"source": "batch_11.json"
}
}
},
{
"task_id": 91,
"intent": "Search News for \"video game\" and visit the sixth search result. Is that news event described in the wiki page for \"Video game\"?",
"intent_template_id": 91,
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not described |OR| not mentioned |OR| not covered |OR| not present |OR| not referenced |OR| not discussed |OR| not found |OR| doesn't describe |OR| does not describe |OR| doesn't mention |OR| does not mention |OR| isn't described |OR| isn't mentioned |OR| nowhere |OR| not in the |OR| not on the |OR| no mention"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('No'). first_sentence scope keeps the justification (which mentions the wiki page and the news event) from interfering. Bare 'not' was removed because it flips polarity in a wrong answer ('The event is not only described but expanded upon' means it IS described = yes); the alternatives are the specific 'not <describe/mention/cover/...>' negations that can only express the 'No' verdict, plus bare 'no'. Inherent yes/no crosstalk is unavoidable.",
"source": "batch_03.json"
}
}
},
{
"task_id": 92,
"intent": "Do the following tasks: Search \"crocodile\" on News, visit the first news article, identify the country where that crocodile lives, search that country on Wiki, and tell me the population of that country. If you encounter a redirect link at any point, then please visit that link.",
"intent_template_id": 92,
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 27000000,
"rel_tolerance": 0.05
},
"fuzzy_match": "27 million people"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Environment-verified: the crocodile in the first news article ('Drunken man is surprised crocodile bit him') is at Broome, Western Australia, so the country is Australia and gold '27 million' matches the Wiki intro ('27 million people live in Australia'). Crucially the SAME article also states 'The population is about 26 million people (2021 census = 25,890,773)', so a correct agent may legitimately quote the census figure (~25.9-26M) instead of 27M. Reviewer widened rel_tolerance from 0.03 to 0.05 (range 25.65M-28.35M) so both readings pass; it still rejects a wrong-country population (Nepal 30M, PNG 10M) or a gross misread. The former negative '25.7 million' was dropped because it is within the article's own census figure and thus not clearly wrong. Medium because the acceptance band spans two figures the article itself gives.",
"source": "batch_07.json"
}
}
},
{
"task_id": 93,
"intent": "Search Canada on Wiki and find the name of the current prime minister. Look up his name on News and click on the first article. When was that article published?",
"intent_template_id": 93,
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"april |OR| ^.*\\b2025[-/]0?4[-/]28\\b.*$ |OR| ^.*\\b0?4[-/]28[-/]2025\\b.*$",
"28",
"2025"
],
"scope": "full",
"fuzzy_match": "April 28, 2025"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a publication date. Requiring the three components separately accepts 'April 28, 2025', '28 April 2025' and 'Apr 28th, 2025', while the regex alternatives also accept the numeric forms 2025-04-28 / 04/28/2025. Word-boundary matching means '28' cannot come from '2025' or '280'. Any wrong day, month or year is rejected.",
"source": "batch_15.json"
}
}
},
{
"task_id": 94,
"intent": "Which ones of the following sites: Wiki, News, and Shop, have an article or product page on a screwdriver?",
"intent_template_id": 94,
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"list_match",
"string_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"wiki |OR| wikipedia"
],
[
"news |OR| wikinews"
]
],
"ordered": false
},
"must_exclude": [
"^.*(?<![a-z0-9])(?:and|,) +(?:the +)?shop(?![a-z0-9])(?! *(?:does not|doesn't|do not|don't|is not|isn't|are not|aren't|was not|wasn't|has no|have no|has none|have none|had no|lacks|lack|fails|fail|carries no|carry no|offers no|offer no|lists no|list no|sells no|sell no|stocks no|stock no|contains no|contain no|shows no|show no|does no|did not|didn't|has neither|without)).*$"
],
"scope": "full",
"fuzzy_match": "Wiki, News"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1 + trap 2: all three options are named in the intent, so 'Wiki, News and Shop' contains both gold tokens, but a blanket must_exclude on 'shop' would reject the very common correct form '... the Shop does not'. The regex therefore forbids 'shop' only when it is enumerated (preceded by 'and' or a comma) and NOT immediately followed by a negation. The negation lookahead is deliberately broad ('carries no', 'lists no', 'sells no', 'without', ...) so that correct answers phrasing the Shop's absence in any of those ways are not falsely rejected. first_sentence scoping was rejected because 'Wiki and News, but not Shop.' has no sentence break.",
"source": "batch_10.json"
}
}
},
{
"task_id": 95,
"intent": "Which ones of the following sites: Wiki, News, and Shop, have an article or product page on High-Definition Multimedia Interface (HDMI)?",
"intent_template_id": 95,
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"list_match",
"string_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"wiki",
"all three",
"all 3",
"all of them",
"all sites"
],
[
"news",
"all three",
"all 3",
"all of them",
"all sites"
],
[
"shop",
"all three",
"all 3",
"all of them",
"all sites"
]
],
"ordered": false
},
"must_exclude": [
"only",
"but not |OR| except |OR| excluding |OR| apart from |OR| other than |OR| neither |OR| no relevant",
"not the wiki |OR| not the news |OR| not the shop |OR| not on the wiki |OR| not on the news |OR| not on the shop |OR| not in the shop",
"^.*\\b(wiki|news|shop)\\b[^.]{0,22}\\b(does not|doesn't|do not|don't|has no|have no|had no|lacks|lack|without|nothing|isn't|is not|aren't|are not|did not|didn't|returns no|return no|no hdmi|no article|no product|no page|no result|not have|not carry|not carrying|not list|not found|not show|missing)\\b.*$"
],
"scope": "full",
"fuzzy_match": "Wiki, News, Shop"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap-1 in its purest form: all three site names are printed in the intent, so a bare list_match on wiki/news/shop is satisfied by 'Only Wiki and News have it; the Shop returns nothing'. Adversarial pass hardened the negation net: the draft's two narrow regexes missed 'The Shop returns nothing for HDMI', 'but not the Shop', 'except the Shop', 'The Shop lacks an HDMI page', etc. Now a single regex catches any '<site> ... <negation-verb>' within 22 chars (does not / has no / lacks / nothing / without / no hdmi / missing / ...), plus plain excludes for 'only', 'but not/except/other than/neither/no relevant', and 'not the <site>'. The 'all three'/'all of them'/'all sites' alternatives keep terse correct answers passing; the 22-char gap was tuned so 'without exception' and 'none of the sites are missing it' (correct) do not trip it. Medium because open-ended negation phrasing means a novel wording could still slip.",
"source": "batch_11.json"
}
}
},
{
"task_id": 96,
"intent": "I heard some bad news about biscuits. Can you check and share the title of such a news article with me? If there are none, please place an order for the top search result on \"biscuits\" and share the confirmation code with me.",
"intent_template_id": 96,
"sites": [
"news",
"webshop"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"83a1b2e714"
],
"scope": "full",
"fuzzy_match": "83A1B2E714"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": true,
"notes": "The task resolves to the order branch, so the answer must carry the confirmation code. The code is a unique alphanumeric token; normalization lowercases both sides and word-boundary matching prevents a longer code from matching by prefix. | SPOT-CHECK: gold is an order code (took the \"no bad news about biscuits\" branch), but News has a clearly negative biscuit article (Vanuatu banned Fijian biscuits; maker laid off staff, taking legal action). Code also unverifiable. Human: fix gold/intent. | ESCALATED: Order-code gold vs. a plausible negative biscuit article ('Fiji ... ban on Fijian biscuits'). Flipping the task branch is a judgement about whether a trade-ban story counts as 'bad news about biscuits'; needs a human decision. Left flagged, gold unchanged.",
"source": "batch_02.json"
}
}
},
{
"task_id": 97,
"intent": "Can you place an order for the cheapest nuts available and share the confirmation code with me?",
"intent_template_id": 97,
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"54f0dc47b1"
],
"scope": "full",
"fuzzy_match": "54F0DC47B1"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single opaque confirmation code; literal containment is exact and cannot be produced by a wrong trajectory.",
"source": "batch_05.json"
}
}
},
{
"task_id": 98,
"intent": "Which scholars are mentioned in the article on Rayleigh scattering?",
"intent_template_id": 98,
"sites": [
"wiki",
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"rayleigh"
],
[
"raman"
],
[
"krishnan"
]
],
"ordered": false
},
"fuzzy_match": "Rayleigh, Raman, Krishnan"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Three scholars. 'Rayleigh' also names the article, so it alone is not discriminative; requiring Raman AND Krishnan makes the spec strict.",
"source": "batch_16.json"
}
}
},
{
"task_id": 99,
"intent": "Is it true that Mattel had to recall its products due to safety concerns? If so, please visit the Wiki page for Mattel and find the first product mentioned in that article. Tell me the name of that product and whether it is available in the Shop.",
"intent_template_id": 99,
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"american girl",
"^.*\\bnot\\b[^.]{0,40}\\b(?:availab\\w*|find|found|sold|sell\\w*|listed|carr\\w+|stock\\w*|offered|exist\\w*|have|has|there|in the shop)\\b.*$ |OR| unavailable |OR| no american girl |OR| no results |OR| no such product |OR| out of stock"
],
"scope": "full",
"fuzzy_match": "American Girl dolls; not available in the shop."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Two-part gold: the product name and the shop-availability verdict. 'barbie' pins the product ('Barbie', 'Barbie dolls', 'Barbie doll' all match). The second entry is a regex that requires a negated availability claim within one clause of 'not' ('not available', 'could not find', 'does not sell/carry/have/stock/list it'), plus plain alternatives for the phrasings that do not use 'not' ('unavailable', 'no Barbie dolls', 'no results'). This is what separates the correct answer from the near-miss that names Barbie but claims it *is* in the Shop, and from an answer that names Barbie and never addresses availability at all. | SPOT-CHECK: gold names \"Barbie dolls\" but the Mattel article lists \"American Girl dolls\" FIRST; the intent asks for the first product mentioned. Human: change gold to American Girl dolls. | FIXED (env-verified): the Mattel article lists 'American Girl dolls' before 'Barbie dolls', and the intent asks for the FIRST product mentioned. Shop search for 'American Girl' returns 0 products, so the 'not available' half stands.",
"source": "batch_13.json"
}
}
},
{
"task_id": 100,
"intent": "I am a huge fan of the Donkey Kong series. Please find related Wiki articles, news, and products from the Shop. If there are multiple entries, pick the most relevant ones. If you cannot find any product or article, mention that in your answer. Share the titles of these items with me using the following format: <site name>: <article/news/product title>.",
"intent_template_id": 100,
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"^.*\\bwiki(?:pedia)?(?:\\s+article)?[^a-z0-9]{0,6}donkey kong\\b.*$"
],
[
"no relevant news |OR| no news |OR| none |OR| no relevant articles |OR| no relevant results |OR| no matching news |OR| not find any news |OR| no relevant news articles |OR| nothing relevant |OR| no news found",
"^.*\\b(?:no|not|none|nothing|never|without|unable)\\b[^.;,]{0,40}\\bnews\\b.*$"
],
[
"tropical freeze |OR| donkey kong surfer |OR| game traveler"
],
[
"shop |OR| store |OR| webshop"
]
],
"ordered": false
},
"fuzzy_match": "Wiki: Donkey Kong, News: No relevant news found, Shop: Nintendo Switch Game Traveler Donkey Kong Country Tropical Freeze Deluxe Travel Case - Donkey Kong Surfer"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Three-part answer in a mandated '<site>: <title>' format. 'Donkey Kong' also occurs inside the shop product title, so a bare must_include would accept an answer that failed to find the Wiki article; the first item is therefore a regex requiring the Wiki label to be immediately followed by the article title. The News item must assert absence: the literal alternatives cover the fixed phrasings, and a second regex leaf catches any negation word sitting within 40 non-separator chars of the word 'news' (so 'No Donkey Kong news articles found' and 'could not find any relevant news' also pass). The [^.;,] barrier stops that negation from leaking across a field boundary -- a Wiki-field 'No relevant article found' cannot satisfy the News item. The Shop item keys on tokens unique to the gold product.",
"source": "batch_12.json"
}
}
},
{
"task_id": 101,
"intent": "Visit the Wiki article on probability and find the second hyperlink on that page. Search the hyperlink text in the Shop, visit the second search result, and search its brand name on Wiki. If a Wiki article exists, then tell me the name of that article; otherwise, tell me the name of the brand.",
"intent_template_id": 101,
"sites": [
"wiki",
"webshop"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"rusticware |OR| rustic ware"
],
"scope": "full",
"fuzzy_match": "Rusticware"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single brand/article name that does not appear anywhere in the intent. The spaced spelling is allowed because word-boundary matching would otherwise reject 'Rustic Ware'.",
"source": "batch_12.json"
}
}
},
{
"task_id": 102,
"intent": "Please complete the following steps: (1) Search News for \"Japan\", (2) visit the second search result, (3) visit the Wiki page for the second word found in the news article's body, (4) identify the first country mentioned in that Wiki article, and (5) search that country on News and tell me the title of the first search result.",
"intent_template_id": 102,
"sites": [
"wiki",
"news"
],
"start_url": "__NEWS__",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"tamiflu",
"india"
],
"scope": "full",
"fuzzy_match": "Generic Tamiflu in India"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a headline. Requiring the two distinctive title words separately rather than the full phrase accepts both a verbatim quote and a light paraphrase ('the first result is about generic Tamiflu in India'), while still being highly discriminative: no other headline in the corpus pairs 'Tamiflu' with 'India'. Neither token occurs in the intent, so trap 1 does not apply.",
"source": "batch_04.json"
}
}
},
{
"task_id": 103,
"intent": "How many people were included in the sample for the latest trial of the Australian bird flu vaccine?",
"intent_template_id": 103,
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 400
},
"fuzzy_match": "400"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Sample size gold '400'. Exact comparison (no hedge in the gold), which keeps '4,000' and '40' out while accepting 'four hundred'.",
"source": "batch_08.json"
}
}
},
{
"task_id": 104,
"intent": "List all articles from the 'Related Pages' sections of the Biophysics and Biochemistry pages.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Biophysics in the search box and press Enter.\n2. Scroll to the \"Related Pages\" section and remember the listed pages: \"Bionics, Computational biology, Database of Molecular Motions, Nanotechnology\".\n3. Type Biochemistry in the search box and press Enter.\n4. Scroll to the \"Related Pages\" section and remember the listed pages: \"List of biochemistry topics, Biophysics, Chromatography, Organic chemistry\".\n5. Combine the lists from both pages into a single list. Send a message to the user: \"Bionics, Computational biology, Database of Molecular Motions, Nanotechnology, List of biochemistry topics, Biophysics, Chromatography, Organic chemistry\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"list of biochemistry topics"
],
[
"biophysics"
],
[
"chromatography"
],
[
"organic chemistry"
],
[
"bionics"
],
[
"computational biology"
],
[
"database of molecular motions"
],
[
"nanotechnology"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "List of biochemistry topics, Biophysics, Chromatography, Organic chemistry, Bionics, Computational biology, Database of Molecular Motions, Nanotechnology"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Eight-element enumeration. ordered:false because the intent only says 'list all articles' -- it names Biophysics first while the gold happens to lead with the Biochemistry entries, so any order requirement would be arbitrary. 'Biophysics' is a weak item (it also appears in the intent), but the other seven carry all the discrimination: an answer that covers only one of the two pages, or that substitutes a plausible-looking page, is missing at least one required item.",
"source": "batch_04.json"
}
}
},
{
"task_id": 105,
"intent": "Did the Physics article's \"Approaches in Physics\" section mention the names of more scientists than the Chemistry article's \"Atoms\" section?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Physics in the search box and press Enter.\n2. Locate the \"Approaches in Physics\" section and count the number of unique scientists mentioned, which is one. Remember the count.\n3. Type Chemistry in the search box and press Enter.\n4. Locate the \"Atoms\" section and count the number of unique scientists mentioned, which is ten. But no need to count as soon as you find more than one.\n5. Compare the two counts to see if the Physics count is higher than the Chemistry count. As the count in Physics was not higher, send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no rule. Not excluding 'physics'/'chemistry' (trap 2) since a correct answer routinely compares both sections.",
"source": "batch_06.json"
}
}
},
{
"task_id": 106,
"intent": "Find the largest city listed on the Wikipedia pages for Canada and Australia. Then tell me the population difference between those two cities.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Canada in the search box and press Enter.\n2. Identify the largest city mentioned in the article (likely Toronto), find its population figure (around 3 million), and remember it.\n3. Type Australia in the search box and press Enter.\n4. Identify the largest city mentioned in the article (likely Sydney), find its population figure (around 5.5 million), and remember it.\n5. Calculate the absolute difference between the two population figures.\n6. Send a message to the user: \"Around 2.5 Million\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 2500000,
"rel_tolerance": 0.1
},
"fuzzy_match": "Around 2.5 Million"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Hedged gold ('Around 2.5 Million'), so a relative tolerance is required; 0.1 gives 2.25M-2.75M, which covers the real figures an agent can read off the two articles (Toronto ~2.8-3M, Sydney ~5.4-5.5M). Medium confidence because number_match scans the whole answer: an answer that shows its working could contain a Toronto population inside the tolerance band while stating a wrong difference. Scoping to the first sentence would reject correct answers that show the arithmetic first, so full scope is the safer trade.",
"source": "batch_01.json"
}
}
},
{
"task_id": 107,
"intent": "Visit the pages of the birthplaces of Albert Einstein's first and second sons. Then calculate the population difference between those places.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Albert Einstein in the search box and press Enter.\n2. Find the names of his first and second sons (Hans Albert Einstein and Eduard Tete Einstein) and identify their birthplaces (Bern and Zurich).\n3. Visit the hyperlink of the first birthplace, Bern, and record its population, which is 127,000.\n4. Go back and visit the hyperlink of the second birthplace, Zurich, and record its population, which is 415,000.\n5. Calculate the absolute difference between the population of Zurich and Bern. Send the absolute difference as a message to the user: \"Around 288000\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 288000,
"rel_tolerance": 0.02
},
"fuzzy_match": "Around 288000"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a hedged quantity ('Around 288000'), so a small relative tolerance (2%, i.e. +/-5760) covers rounding to '290,000' or slightly different rounded populations, while still rejecting the usual wrong results (the sum 542,000, or a difference computed from the wrong pair of cities). '288 thousand' is parsed correctly by the number parser.",
"source": "batch_02.json"
}
}
},
{
"task_id": 108,
"intent": "Visit the articles for Physics, Chemistry, and Biology to identify which one(s) contain a section that explicitly discusses the discipline's relationship with mathematics.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Physics in the search box and press Enter.\n2. Scan the table of contents or headers for a section discussing a relationship with mathematics. Note that such a section exists, and remember this.\n3. Type Chemistry in the search box and press Enter.\n4. Scan the table of contents or headers for a similar section regarding mathematics. Note that no such section exists, and remember this.\n5. Type Biology in the search box and press Enter.\n6. Scan the table of contents or headers for a similar section regarding mathematics. Note that no such section exists, and remember this.\n7. Conclude that only the Physics article contained the specific section. Send a message to the user: \"Physics\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"physics"
],
"must_exclude": [
"both",
"all three",
"all of them"
],
"scope": "first_sentence",
"fuzzy_match": "Physics"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Multiple choice among Physics/Chemistry/Biology, all named in the intent; gold is Physics only. Per guideline traps #2/#4 we do NOT must_exclude the competing discipline tokens (a correct answer naturally rules them out: 'Physics, not Chemistry or Biology' — the earlier chemistry/biology exclusion false-rejected exactly that, verified). We also drop 'neither' from must_exclude: a correct answer legitimately says 'neither Chemistry nor Biology has it'. Instead must_include physics and exclude only the multi-select words a wrong answer would use ('both', 'all three', 'all of them'), scoped to the first sentence. Medium: a bare two-item wrong answer 'Physics and Chemistry contain such a section' (no 'both'), or a 'Neither ... has such a section' wrong answer, would still pass; the additional_instructions steer the agent to a terse 'Physics', so those residuals are unlikely, and this is the honest trade for not rejecting contrastive-correct answers.",
"source": "batch_16.json"
}
}
},
{
"task_id": 109,
"intent": "In the article on Language, visit the first hyperlink in the \"Types of Languages\" section. Then check the \"Related Pages\" section of the visited article. Is there any article that appears in both this section and the \"Related Pages\" section of the Language article? If so, list the common pages; otherwise, answer \"None\".",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Language in the search box and press Enter.\n2. Record the list of articles in the \"Related Pages\" section of the Language article: \"Alphabet, Basic English, Sign language, English as a foreign language, English language, Historical linguistics, Language education, Language families and languages, Linguistics, List of languages, Orthography, Phonology, Second language, Semantics, Speech therapy.\"\n3. Navigate to the \"Types of Languages\" section and click the first hyperlink, \"Mathematics\".\n4. On the new page, locate the \"Related Pages\" section and record the articles listed there: \"Timeline of women in mathematics, American Mathematical Society, Society for Industrial and Applied Mathematics, EASIAM, International Congress on Industrial and Applied Mathematics, International Congress of Mathematicians, International Mathematical Olympiad, Mathematics Genealogy Project, Mathematics Subject Classification.\"\n5. Compare the two lists of related pages to find any common articles. As no common articles were found, send a message to the user: \"None\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"none |OR| no common |OR| no article |OR| no articles |OR| no page |OR| no pages |OR| no overlap |OR| no shared |OR| nothing in common |OR| no entries |OR| no entry |OR| no titles |OR| no title |OR| share no |OR| shares no |OR| do not share |OR| does not share |OR| no intersection |OR| empty |OR| neither list |OR| share nothing |OR| shares nothing |OR| have nothing |OR| no matching |OR| not appear in both |OR| none appear in both |OR| no common article"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "None"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the literal fallback answer 'None'. The intent itself dictates the word, so the discriminator is the negative verdict versus naming an actually-common page. Alternatives cover the natural prose forms ('there are no common articles', 'the two sections share nothing', 'neither list has a title in the other'). must_exclude 'yes' in the verdict sentence blocks the near-miss that names a shared page and then denies the 'None' option; a correct answer to 'Is there any article that appears in both?' cannot open its verdict sentence with 'yes'.",
"source": "batch_01.json"
}
}
},
{
"task_id": 110,
"intent": "Visit the first article listed in the \"Related Pages\" sections of the Time and War articles. Then list all the related pages mentioned in each of those visited articles.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Time in the search box and press Enter.\n2. Go to the \"Related Pages\" section and click the first article link, \"Chronology\".\n3. On this new page, record all items listed in its \"Related Pages\" section, which are \"Annals, Calendar\".\n4. Type War in the search box and press Enter.\n5. Go to the \"Related Pages\" section and click the first article link, \"Peace\".\n6. On this new page, record all items listed in its \"Related Pages\" section, which are \"Anti-war movement, Ceasefire, Pacifism, Peace makers, Peace treaty, World peace\".\n7. Combine the lists recorded from both visited articles. Send a message to the user: \"Annals, Calendar, Anti-war movement, Ceasefire, Pacifism, Peace makers, Peace treaty, World peace\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"annals"
],
[
"calendar"
],
[
"anti-war movement |OR| antiwar movement"
],
[
"ceasefire |OR| cease-fire"
],
[
"pacifism"
],
[
"peace makers |OR| peacemakers"
],
[
"peace treaty"
],
[
"world peace"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "Annals, Calendar, Anti-war movement, Ceasefire, Pacifism, Peace makers, Peace treaty, World peace"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Eight related-page titles combined from the Chronology and Peace articles. Unordered — the intent only asks to list them. Hyphen/space variants are handled by the matcher; explicit alternatives cover the closed-up spellings 'antiwar', 'peacemakers' and 'cease-fire'. Supersets pass (list_match does not penalise extra items); we do not know a reliable distractor set to forbid.",
"source": "batch_05.json"
}
}
},
{
"task_id": 111,
"intent": "Visit the pages of the people who were murdered in the \"Unnatural causes of death\" section of the \"Death\" article. How many of these visited articles have a \"Legacy\" section?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Death in the search box and press Enter.\n2. Navigate to the \"Unnatural causes of death\" section and identify the people mentioned as murdered.\n3. The first person is Abraham Lincoln. Click on his hyperlink.\n4. On Abraham Lincoln's page, there is a \"Legacy\" section. Remember the Count = 1.\n5. Go back to the previous page on Death and click on the hyperlink of the second person, \"Martin Luther King Jr.\"\n6. On Martin Luther King Jr's page, there is a \"Legacy\" section. Remember the Count = 2.\n7. Go back to the previous page on Death and click on the hyperlink of the third person, \"John F. Kennedy\".\n8. On John F. Kennedy's page, there is a \"Legacy\" section. Remember the Count = 3.\n9. Go back to the previous page on Death, and verify if there is any person left.\n10. As there are no other people left and you found three legacy sections, send a message to the user: \"Three\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"three |OR| 3"
],
"must_exclude": [
"^.*(?<!each )(?<!every )(?<!any )(?<!not )(?<!no )(?<![a-z])(?:one|two|1|2) (?:articles? |pages? |people )?(?:out )?of (?:the |these |those )?(?:three|3|them|these|those|articles?|pages?|people|visited)(?![a-z]).*$",
"^.*(?<![a-z])(?:only|just) (?:one|two|zero|1|2|0)(?![a-z0-9]).*$",
"^.*(?<!each )(?<!every )(?<!any )(?<![a-z])(?:zero|none|one|two|0|1|2) (?:of (?:the )?(?:them|these|those|three|3|articles?|pages?|people) )?(?:articles? |pages? |people )?(?:have|has|contain|contains|include|includes)(?: an?)? legacy.*$",
"^.*legacy(?: section)?s?\\b(?:(?!\\bnot\\b|\\ball\\b|\\beach\\b|\\bevery\\b|\\bthree\\b|\\b3\\b).){0,25}?\\b(?:on|in|for)\\b (?:only |just )?(?:zero|none|one|two|0|1|2)(?![a-z0-9]).*$"
],
"scope": "full",
"fuzzy_match": "Three"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count answer, gold 'Three' (= all three visited people have a Legacy section). Switched from number_match to string_match must_include ['three |OR| 3'] because number_match merges adjacent spelled-out numbers ('Three - each page has one...' would parse 'one three'->4 or drop 3), false-rejecting valid answers. Trap 3 in reverse: the number 3 always appears in a correct answer ('three articles/people visited'), so a wrong 'only two of the three have a Legacy section' also contains 3. The four must_exclude regexes reject a lower count (0/1/2) stated as: 'N of the three/them', 'only/just N', 'N (have|contain) ... legacy', and 'legacy ... on/in N'. Lookbehinds (each/every/any/not/no) protect legitimate 'each one of the three', 'not one of them lacks it'. Medium confidence: an exotic wrong phrasing could still slip through, but all realistic near-misses are covered by the negative_examples.",
"source": "batch_02.json"
}
}
},
{
"task_id": 112,
"intent": "Visit the pages of the hyperlinked geographic regions mentioned in the \"Trees\" section of the Australia page. Among the visited pages, list the titles of the pages that do not have a section on languages.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Australia in the search box and press Enter.\n2. Navigate to the \"Trees\" section and identify any hyperlinked geographic regions mentioned. There will be two: \"Southeast Asia\" and \"Oceania\".\n3. Click on the hyperlink of the first entry: Southeast Asia.\n4. Check the visited article for a section on Languages. As there isn't, remember this fact.\n5. Then go back and click on the hyperlink of Oceania.\n6. Check the visited article for a section on Languages. As there is such a section, remember this fact.\n7. Only Southeast Asia doesn't have a section on languages. Send a message to the user, \"Southeast Asia\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"southeast asia",
"^(?:(?!southeast asia[\\s,/&]*(?:and|or|nor|plus|as well as|along with|together with)?[\\s,/&]*oceania)(?!oceania[\\s,/&]*(?:and|or|nor|plus|as well as|along with|together with)?[\\s,/&]*southeast asia).)*$ |OR| ^.*only\\s*(?:the\\s*)?southeast asia(?![^.]*oceania).*$"
],
"scope": "full",
"fuzzy_match": "Southeast Asia"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Two candidate pages are named in the instructions (Southeast Asia, Oceania) and only Southeast Asia is the answer, so the gold token alone is not enough -- the dominant failure mode is listing BOTH. Second must_include entry is a two-branch regex. Branch 1 (tempered-token) rejects any answer where the two region names are joined as a LIST: adjacent modulo whitespace/comma/slash/&/'and'/'or'/'nor'/'plus'/'as well as'/'along with'/'together with', in either order. Branch 2 rescues verbose-correct answers that recap visiting both by matching 'only ... Southeast Asia' when no 'oceania' follows before the next sentence break. A correct contrast that mentions Oceania as HAVING languages ('Southeast Asia lacks a section, Oceania has one') is NOT rejected because the names are separated by words, not a list connector. This upgrades the earlier spec, which only forbade the literal 'and'/'nor' conjunction and thus falsely accepted the comma/slash/multi-word list forms. Medium confidence: the residual false-reject is the phrasing 'I visited both Southeast Asia and Oceania. Southeast Asia lacks a languages section.' (conjunction present, no 'only' rescue); the additional_instructions tell the agent to answer exactly 'Southeast Asia', so short correct answers dominate.",
"source": "batch_03.json"
}
}
},
{
"task_id": 113,
"intent": "Visit the article on the first rapper mentioned on Kid Cudi's page (excluding Kid Cudi himself). How many studio albums has that rapper released (excluding collaborative albums)?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Kid Cudi in the search box and press Enter.\n2. Scan the text to find the first mention of a rapper other than Kid Cudi, which is Kanye West.\n3. Click on the hyperlink of \"Kanye West\".\n4. Navigate to the Studio Albums subsection in his article, which says he has 10 studio albums. Send this as a message to the user: \"Ten\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"ten |OR| 10"
],
"scope": "full",
"fuzzy_match": "Ten"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Count gold written as a word. Switched from number_match:{value:10} to string_match ['ten |OR| 10']: album discussions naturally use ordinals ('his 10th studio album'), which number_match parses as 10 and would FALSE-ACCEPT a wrong total ('his 10th album ..., but 11 studio albums in all'). string_match refuses the ordinal on the word boundary before 'th', so that near-miss now fails, while 'Ten', '10' and '**10**' all still pass. Word boundaries also keep '10' from matching inside '100' or a year like '2010', and the rapper's name contributes no digits.",
"source": "batch_04.json"
}
}
},
{
"task_id": 114,
"intent": "What is the last word of the first section of the article on Metallica's drummer?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Metallica in the search box and press Enter.\n2. Identify the drummer (Lars Ulrich) and click the hyperlink to his article.\n3. Read the first section of the article (the introduction/summary before the first section header) and identify the very last word of that section, which is \"Marshall\". Send a message to the user: \"Marshall\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"marshall"
],
"scope": "full",
"fuzzy_match": "Marshall"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single word answer, a proper noun that does not appear in the intent. Word-boundary matching keeps it from firing on 'Marshalls' or 'Marshall-like' continuations of a different token. Unlike task 226, the last word here is not the article's topic, so a wrong last-word answer is unlikely to mention it incidentally.",
"source": "batch_05.json"
}
}
},
{
"task_id": 115,
"intent": "Visit the article on the first country mentioned in the article on Southeast Asia. If that article has a politics section, go to the article on the first politician mentioned in that section. Otherwise, go to the article on the first island mentioned on that country's page. What are the last three words of the main content of the final visited article (excluding references and \"Related Pages\")?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Southeast Asia in the search box and press Enter.\n2. Find the first country mentioned in the text, which is \"East Timor\" and click the link to visit its page.\n3. Check if this country's page has a \"Politics\" section.\n4. Since it doesn't, click on the hyperlink of the first island mentioned in East Timor's article, which is \"Timor\".\n5. Identify the last three words of the text, \"chain of islands\". Send a message to the user: \"chain of islands\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"chain of islands"
],
"scope": "full",
"fuzzy_match": "chain of islands"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Verbatim three-word span; word-boundary containment rejects the singular 'chain of island' and the reordered 'island chain'. Nothing in the intent leaks the phrase.",
"source": "batch_06.json"
}
}
},
{
"task_id": 116,
"intent": "Trace this path: start at the \"Territory\" page → the first country mentioned → a country that shares its southern border. What is the last word of the first section (the introduction counts as a section) on that final visited page?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Territory in the search box and press Enter.\n2. Scan the text to find the first country mentioned (United States) and click its link.\n3. On the country's page, find the information regarding its borders and identify the country to the south (Mexico). Click on the hyperlink for Mexico.\n4. Read the first section (the introduction) of this final page and identify the very last word, which is \"world\". Send a message to user: \"world\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"world"
],
"scope": "first_sentence",
"fuzzy_match": "world"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a single common word, so it can occur incidentally in a justification ('... most populous country in the world'). scope:first_sentence confines the match to the verdict sentence, where a correct answer always names the word and a wrong answer names a different one. Medium per trap 3 (low-discriminative gold).",
"source": "batch_07.json"
}
}
},
{
"task_id": 117,
"intent": "Visit the pages of all the countries in the United Kingdom. Which of these countries have a dedicated section on their culture?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type United Kingdom in the search box and press Enter.\n2. Identify the countries that make up the UK, listed in the article (England, Wales, Scotland, Ireland).\n3. Click on the hyperlink for England. As there is a dedicated section on that country's culture, remember this fact.\n4. Go back to the United Kingdom page, and click on the second hyperlink \"Wales\".\n5. As there is no section on that country's culture, go back to the United Kingdom page.\n6. Click on the third hyperlink, \"Scotland\". As there is a section on that country's culture, remember this fact.\n7. Go back to the United Kingdom page, and click on the last hyperlink, \"Ireland\".\n8. As there is no section on that country's culture, tell the users the countries that you remembered, i.e., send a message to the user, \"England, Scotland\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"england"
],
[
"scotland"
]
],
"ordered": false,
"forbidden": [
"^(?!.*(?:\\bnot\\b|\\bno\\b|\\bneither\\b|\\bnor\\b|\\bexcept\\b|\\bexcluding\\b|\\bexclude[sd]?\\b|\\bunlike\\b|\\bwithout\\b|other than|rather than|\\bbesides\\b|aside from|apart from|\\bsave\\b)[^.]{0,12}(?<![a-z0-9])wales).*(?<![a-z0-9])wales(?![a-z0-9])(?!.{0,30}(?:\\bnot\\b|n't|\\bno\\b|\\bnone\\b|\\black|\\babsent\\b|\\bmissing\\b|\\bwithout\\b|\\bexcept\\b)).*$",
"^(?!.*(?:\\bnot\\b|\\bno\\b|\\bneither\\b|\\bnor\\b|\\bexcept\\b|\\bexcluding\\b|\\bexclude[sd]?\\b|\\bunlike\\b|\\bwithout\\b|other than|rather than|\\bbesides\\b|aside from|apart from|\\bsave\\b)[^.]{0,12}(?<![a-z0-9])ireland).*(?<![a-z0-9])ireland(?![a-z0-9])(?!.{0,30}(?:\\bnot\\b|n't|\\bno\\b|\\bnone\\b|\\black|\\babsent\\b|\\bmissing\\b|\\bwithout\\b|\\bexcept\\b)).*$"
]
},
"fuzzy_match": "England, Scotland"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Set answer: England + Scotland. The only wrong answers that survive must_include(england, scotland) are ones that ALSO list Wales or Ireland as HAVING a culture section, so the forbidden entries target affirmatively-listed Wales/Ireland. A flat forbidden (trap 2) — or the earlier after-only negation window — false-rejected common contrastive correct answers where the negation precedes the country ('England and Scotland, not Wales or Ireland', 'unlike Wales and Ireland'). The forbidden regexes now suppress firing when a negation/contrast marker appears within ~12 chars BEFORE or ~30 chars AFTER the country, catching both sides. Medium because the proximity windows are heuristics.",
"source": "batch_06.json"
}
}
},
{
"task_id": 118,
"intent": "Visit the article about the earliest known statistics mentioned in the Statistics article. List all the countries mentioned on that page.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Statistics in the search box and press Enter.\n2. Locate the mention of the \"first known statistics\", which is \"Census\". Click on the hyperlink on \"Census\".\n3. Scan the content of the visited page for the names of countries and send those names as a message to the user: \"United States, United Kingdom, Australia, Canada, Japan, New Zealand\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"united states |OR| usa |OR| u.s. |OR| u.s.a."
],
[
"united kingdom |OR| uk |OR| u.k. |OR| britain"
],
[
"australia"
],
[
"canada"
],
[
"japan"
],
[
"new zealand"
]
],
"ordered": false,
"forbidden": [
"china",
"india",
"germany",
"france",
"russia"
]
},
"fuzzy_match": "United States, United Kingdom, Australia, Canada, Japan, New Zealand"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Environment-verified against the Census article: the body names exactly these six countries (US, UK, Australia, Canada, Japan, New Zealand) and no others, so the gold is complete. Six distinct names, no order requested, so ordered:false. Abbreviations are offered for the two multi-word states; bare 'us' is deliberately not an alternative because it would match the pronoun. Reviewer added a 'forbidden' list: the original spec accepted an over-lister that names all six gold countries plus an extra (e.g. '..., New Zealand, China'). The forbidden entries are the most likely erroneous census-country additions and are confirmed absent from the page, so a correct answer never contains them.",
"source": "batch_07.json"
}
}
},
{
"task_id": 119,
"intent": "Navigate to the article on the first specialized tool mentioned in the Physics article. Then navigate to the last hyperlink in the main content of that page (excluding references and related pages). How many related pages does the final visited article have?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Physics in the search box and press Enter.\n2. Scan the text to find the first specialized tool mentioned (you will find it in the Approaches in Physics section) and click its link, which is \"Particle Accelerator\".\n3. Click the very last hyperlink found in the text, which is \"Technology\".\n4. On this final page, locate the \"Related Pages\" section and count the number of articles listed in that section, which is two. Send a message to the user: \"Two\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 2
},
"fuzzy_match": "Two"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'Two' (related pages on the final article). number_match accepts both spellings. Full scope because agents commonly recap the navigation path first. Medium: an answer that recaps the path may contain other small integers, so a wrong count paired with an incidental '2' would pass.",
"source": "batch_08.json"
}
}
},
{
"task_id": 120,
"intent": "Recursively follow the first link in the main content of each page, starting from the \"Technology\" page. What is the title of the final article you reach before a \"page does not exist\" message appears?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Technology in the search box and press Enter.\n2. Keep clicking the first hyperlink found in the main body text of the visited page. While clicking the hyperlinks, the order of the pages will be Skill, Experience, Learning, Knowledge, Fact, and Real.\n3. As the page on \"Real\" doesn't exist, report the previous page \"Fact\". Send a message to the user: \"Fact\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^.*(?<!in )(?<!the )(?<!of )(?<!a )(?<![a-z0-9])fact(?![a-z0-9]).*$"
],
"scope": "full",
"fuzzy_match": "Fact"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 3: the gold 'Fact' is an ordinary English word whose most likely incidental occurrences are the discourse markers 'in fact', 'the fact (that/is)', 'as a matter of fact' and 'a fact' in an answer that names the WRONG page ('Knowledge, because of the fact that Real does not exist'). The regex leaf requires at least one occurrence of the word 'fact' NOT immediately preceded by 'in '/'the '/'of '/'a ', which rejects all four discourse forms while still accepting a correct answer that ALSO uses one of them elsewhere ('In fact, the final article is Fact.' passes on the clean 'is Fact'). The original spec only guarded 'in ', so 'the fact that ... Knowledge' and 'as a matter of fact ... Knowledge' false-accepted (verified). must_exclude ['real'] is deliberately NOT used: a correct answer very often explains that the next link, 'Real', does not exist. Residual, accepted trade-off: an answer that names the page only as 'the Fact article' (definite article directly before 'Fact', no other mention) would be rejected -- uncommon because the task's send-message instruction is the bare token 'Fact'.",
"source": "batch_09.json"
}
}
},
{
"task_id": 121,
"intent": "Recursively follow the first link in the main content of each page, starting from the \"Technology\" page, until you reach an article that does not exist. List the titles of all the valid pages in the order that you visited.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Technology in the search box and press Enter.\n2. Keep clicking the first hyperlink found in the main body text of the visited page. While clicking the hyperlinks, the order of the pages will be Skill, Experience, Learning, Knowledge, Fact, and Real. Remember the names of every page that you have visited.\n3. As the page on \"Real\" doesn't exist, report all the previous pages that you visited based on your memory. Send a message to the user: \"Technology, Skill, Experience, Learning, Knowledge, Fact\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"technology"
],
[
"skill"
],
[
"experience"
],
[
"learning"
],
[
"knowledge"
],
[
"fact"
]
],
"ordered": true,
"forbidden": [
"^.*\\bfact\\b[\\s,]*(?:and\\s+)?\\breal\\b(?![^.]*(?:does not|doesn't|doesnt|do not|don't|not exist|no article|no page|is missing|missing|invalid|non-existent|nonexistent|non existent|no such|dead link|dead end|broken|red link|not found|returns nothing|doesn't have|does not have|has no)).*$"
]
},
"fuzzy_match": "Technology, Skill, Experience, Learning, Knowledge, Fact"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The intent demands the visiting order, so ordered: true. 'Real' is the first non-existent article and must NOT be listed as a valid page, but a correct answer legitimately names it as the missing one ('... Fact; the next link, Real, does not exist'). The forbidden regex fires when 'Real' follows 'Fact' as a listed item AND is not accompanied (before the next sentence end) by an existence-negation phrase -- this catches both '... Fact, Real' (Real last) and '... Fact, Real, Truth' (extra pages after Real), which the earlier 'Real at end only' rule missed, while still accepting 'Fact, Real (which does not exist)'.",
"source": "batch_08.json"
}
}
},
{
"task_id": 122,
"intent": "What is the name of the TV character whose singing is compared to death metal?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Death Metal\" and press Enter.\n2. According to the article, the TV character whose singing is compared to Death metal is the Cookie Monster.\n3. Send a message to the user: \"Cookie Monster\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"cookie monster"
],
"must_exclude": [
"not cookie monster |OR| not the cookie monster |OR| isn't cookie monster |OR| isn't the cookie monster |OR| rather than cookie monster |OR| rather than the cookie monster |OR| instead of cookie monster |OR| instead of the cookie monster"
],
"scope": "full",
"fuzzy_match": "Cookie Monster"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Unambiguous named entity, no competing character named in the intent. The exclusions cover the ways a wrong answer could quote the gold token while denying it ('... not Cookie Monster', '... not the Cookie Monster', 'instead of ...'), which no correct answer can contain. The 'the'-variants were added because word-boundary matching treats 'not the cookie monster' as distinct from 'not cookie monster', so the bare form alone left a false-accept hole.",
"source": "batch_10.json"
}
}
},
{
"task_id": 123,
"intent": "What type of material is used to make ceramic glass?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Ceramic glass in the search box and press Enter.\n2. As a valid page doesn't exist, send a message to the user: \"There is no article on ceramic glass\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"ceramic glass",
"no article |OR| no such article |OR| does not exist |OR| doesn't exist |OR| no valid page |OR| no page |OR| could not find |OR| couldn't find |OR| no results"
],
"scope": "full",
"fuzzy_match": "There is no article on ceramic glass"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The correct behaviour is to report that no article exists. Requiring 'ceramic glass' plus a not-found phrase rejects any answer that instead invents a material.",
"source": "batch_16.json"
}
}
},
{
"task_id": 124,
"intent": "What is the total area of El Salvador, according to its article?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type El Salvador in the search box and press Enter.\n2. Scan the infobox and the main text for the area of the country.\n3. As the area has not been mentioned, send a message to the user: \"The total area of El Salvador has not been mentioned in the article.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"not been mentioned |OR| not mentioned |OR| not mention |OR| no mention |OR| doesn't mention |OR| never mentions |OR| never mentioned |OR| not listed |OR| not list |OR| doesn't list |OR| not stated |OR| not state |OR| doesn't state |OR| not given |OR| not give |OR| doesn't give |OR| not provided |OR| not provide |OR| doesn't provide |OR| not specified |OR| not specify |OR| doesn't specify |OR| not included |OR| not include |OR| doesn't include |OR| not contain |OR| doesn't contain |OR| not available |OR| not reported |OR| not report |OR| not found |OR| not find |OR| couldn't find |OR| no information |OR| not present |OR| absent |OR| not say |OR| doesn't say |OR| no total area |OR| no area figure |OR| nowhere |OR| no where"
],
"must_exclude": [
"^.*\\d[\\d, ]*(km|square kilomet|sq mi|square mile|hectare|acre).*$"
],
"scope": "full",
"fuzzy_match": "The total area of El Salvador has not been mentioned in the article."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "The gold is a 'the datum is absent' sentence, so the checkable anchor is the negation phrase, not the exact wording (trap 6). The long alternative list covers the phrasings an agent uses for 'the article does not give it'. The must_exclude regex closes the mixed near-miss where the answer negates a DIFFERENT field but still quotes a real area value ('does not state the population, but the total area is 21,041 km2'): it fires on any number immediately followed by an area unit (km/square kilometre/sq mi/hectare/acre). It does not touch correct answers, which never pair a figure with an area unit (they say the figure is absent), and it tolerates rhetorical numbers with no area unit ('gives the population, about 6.5 million, but no area figure'). Medium confidence: a wrong answer that states a bare area value with no unit and no 'total area' anchor could still slip through, but such an answer must also contain a negation phrase to be accepted at all.",
"source": "batch_01.json"
}
}
},
{
"task_id": 125,
"intent": "What is Thom Yorke's first solo album, according to his article?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Thom Yorke in the search box and press Enter.\n2. Scan the article for the name of his first solo album. As it hasn't been mentioned, send a message to the user: \"The first solo album of Thom Yorke has not been mentioned in his article.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"not mentioned |OR| not been mentioned |OR| not mention |OR| no mention |OR| not named |OR| not name |OR| not stated |OR| not state |OR| not specified |OR| not specify |OR| not listed |OR| not list |OR| not say |OR| not identified |OR| not identify |OR| not appear |OR| not provided |OR| not given |OR| not discussed |OR| not indicated |OR| no reference |OR| no information |OR| no solo album |OR| no first solo album |OR| doesn't mention |OR| doesn't name |OR| doesn't say |OR| doesn't state |OR| doesn't specify |OR| doesn't list |OR| doesn't identify |OR| doesn't provide |OR| isn't mentioned |OR| isn't named |OR| isn't specified |OR| isn't listed |OR| isn't stated |OR| never mention |OR| never mentions |OR| never mentioned |OR| never name |OR| never names |OR| never named |OR| never state |OR| never states |OR| never says |OR| never say |OR| never specifies |OR| never lists |OR| not find any |OR| couldn't find any |OR| unable to find any |OR| no album |OR| no such album |OR| has not been mentioned |OR| hasn't been mentioned |OR| have not been mentioned |OR| was not mentioned |OR| wasn't mentioned |OR| not been named |OR| says nothing |OR| say nothing |OR| said nothing |OR| nothing about |OR| mentions nothing |OR| mention nothing |OR| silent |OR| no album is named |OR| no album is mentioned |OR| not referenced |OR| does not reference |OR| doesn't reference |OR| not include |OR| does not include |OR| doesn't include |OR| not included |OR| not documented |OR| does not cover |OR| doesn't cover |OR| not covered |OR| no details |OR| cannot find |OR| can't find |OR| could not find |OR| couldn't find |OR| not able to find |OR| don't mention |OR| do not mention |OR| left unmentioned"
],
"scope": "full",
"fuzzy_match": "The first solo album of Thom Yorke has not been mentioned in his article."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "The gold is a negative finding: the article never names a first solo album. The checkable anchor is the negation, so must_include lists the realistic ways of expressing 'the article does not mention it' (contractions kept by normalization as \"doesn't\"). The draft's list was expanded to cover common correct phrasings it was missing ('says nothing about', 'is silent on', 'wasn't mentioned', 'does not include the name of'), which were confirmed false-rejects. Any answer that only names an album (The Eraser, Anima, ...) with no negation fails. Downgraded to medium confidence: this is inherently a leaky anchor - a wrong answer that names an album while negating some other detail could false-accept, and an unusual correct phrasing could still fall outside the list. No must_exclude on album titles: a correct answer may add the real album as an aside.",
"source": "batch_02.json"
}
}
},
{
"task_id": 126,
"intent": "What is the name of the latest album by Clipse, according to their article?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Clipse in the search box and press Enter.\n2. As a valid page doesn't exist, send a message to the user: \"There is no article on Clipse\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"clipse",
"no article |OR| no wiki article |OR| no such article |OR| no page |OR| no valid page |OR| no results |OR| does not exist |OR| doesn't exist |OR| does not have an article |OR| doesn't have an article |OR| could not find |OR| couldn't find |OR| unable to find |OR| not found |OR| no clipse article |OR| clipse does not have |OR| clipse doesn't have |OR| no matching article |OR| no such page |OR| no wikipedia article |OR| article does not exist |OR| page does not exist |OR| no entry"
],
"scope": "full",
"fuzzy_match": "There is no article on Clipse"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "The correct answer is an unanswerable-report: no Clipse article exists. Spec = the subject token 'clipse' plus any of the standard 'no such article/page' phrasings. Added 'no clipse article' etc. because the earlier list required 'no article' ADJACENT and would false-reject 'There is no Clipse article' (the subject sits between 'no' and 'article'). The absence phrasings are all about the ARTICLE/PAGE, never a generic 'not available', so a wrong answer that names a hallucinated album and adds 'not available on streaming' is NOT accepted. Contracted forms are spelled with the apostrophe because the matcher only bridges hyphens/whitespace. Medium confidence: a very unusual phrasing of absence ('the wiki has nothing whatsoever on Clipse') could still be rejected.",
"source": "batch_03.json"
}
}
},
{
"task_id": 127,
"intent": "Navigate to the page about the highest point in El Salvador and tell me its height.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type El Salvador in the search box and press Enter.\n2. Scan the article page and infobox to find the name of the highest point (Cerro El Pital).\n3. Click on the hyperlink of Cerro El Pital.\n4. As the article does not exist and the height of the highest point hasn't been mentioned elsewhere, send a message to the user: \"No article on the highest point of El Salvador\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no article |OR| no page |OR| not exist |OR| doesn't exist |OR| not available |OR| unavailable |OR| not found |OR| no height |OR| not mentioned |OR| not listed |OR| not given |OR| unknown |OR| could not find |OR| couldn't find |OR| no information |OR| n/a |OR| missing |OR| no such"
],
"must_exclude": [
"^.*\\d[\\d,. ]*(m|meters|metres|meter|ft|feet|foot|km)(?![a-z0-9]).*$"
],
"scope": "full",
"fuzzy_match": "No article on the highest point of El Salvador"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The correct answer is an unavailability report: the Cerro El Pital page does not exist, so no height can be given. must_include covers the ways an agent phrases 'there is no article / the height is not available'. The must_exclude regex is the other half and is what blocks the hardest near-miss: an answer that admits the article is missing but then supplies a fabricated or externally sourced elevation ('no article for Cerro El Pital, but its height is 2,730 metres'). It only fires on a number immediately followed by a length unit, so an incidental digit (a '404' page, 'the 2 candidate pages') is safe.",
"source": "batch_04.json"
}
}
},
{
"task_id": 128,
"intent": "Find the birth date of the first person mentioned in the scientific method example in the Science article.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Search Science and press Enter.\n2. In the \"Scientific Method\" section's \"An Example\" subsection (as the article is very long, don't scroll, instead click using the element ID), you will find that the first person is Arthur Eddington. Click on his hyperlink and find his birth date.\n3. Then send a message to user, the birth date, \"28 December, 1882\".",
"eval": {
"eval_types": [
"string_match",
"number_match"
],
"reference_answers": {
"must_include": [
"december |OR| dec |OR| 12"
],
"scope": "full",
"number_match": {
"values": [
28,
1882
]
},
"fuzzy_match": "28 December 1882"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A date: day and year are checked exactly with number_match (order-independent, so both '28 December 1882' and 'December 28, 1882' pass) and the month with a string anchor. The month alternative accepts 'December', the 'Dec' abbreviation, or the numeric month '12' so a purely numeric date ('28/12/1882', '12/28/1882') is not false-rejected. Adding '12' does not weaken discrimination because number_match still requires BOTH 28 and 1882: a wrong-month answer with the same day/year ('28 November 1882' / '28/11/1882') has no 'december', 'dec' or standalone '12' and is rejected. Extra numbers such as a death year are harmless.",
"source": "batch_03.json"
}
}
},
{
"task_id": 129,
"intent": "According to their respective articles, did Rio de Janeiro host the Summer Olympic Games before Beijing?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Rio de Janeiro in the search box and press Enter.\n2. Find the year it hosted the Summer Olympics, which is 2016, and remember this fact.\n3. Type Beijing in the search box and press Enter.\n4. Find the year it hosted the Summer Olympics, which is 2008, and remember this fact.\n5. Compare the years (2016 is not before 2008). Send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no recipe. The years (2016 vs 2008) are not required because a correct answer may state the verdict alone; first_sentence keeps the year comparison out of scope and blocks 'Yes ... 2016 ... before Beijing' verdicts.",
"source": "batch_07.json"
}
}
},
{
"task_id": 130,
"intent": "Based on the relevant articles, which Australian state uses the Cooktown Orchid as its emblem?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Search \"Australia\" and press Enter.\n2. Click on the hyperlinks of each Australian state one by one.\n3. On each page, scan the \"Symbols\" or \"Emblems\" section (or the infobox) for \"Cooktown Orchid\".\n4. Once you are done visiting a state, go back to the Australia page, and click on the next hyperlink.\n5. Identify that the \"Cooktown Orchid\" is mentioned on the Queensland page as its emblem. Send a message to the user: \"Queensland\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"queensland"
],
"must_exclude": [
"^.*\\bnot\\b[^.]{0,14}\\bqueensland\\b.*$",
"^.*\\bqueensland\\b[^.]{0,18}\\b(is not|isn't|are not|aren't|does not|doesn't|do not|don't|did not|didn't|was not|wasn't)\\b.*$"
],
"scope": "first_sentence",
"fuzzy_match": "Queensland"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single named entity that does not appear in the intent. Adversarial pass replaced the draft's blanket must_exclude of the other six states -- that false-rejected a genuinely correct contrastive answer 'It is Queensland, not New South Wales, that uses it' (verified 0.0 under the draft). The two regexes instead forbid only a DENIAL of Queensland ('... not Queensland', 'Queensland does not ...'), so 'Queensland, not Victoria' (correct) passes while 'Victoria uses it, not Queensland' and 'Queensland does not use it' (wrong) are rejected. A bare wrong answer naming only another state fails must_include.",
"source": "batch_11.json"
}
}
},
{
"task_id": 131,
"intent": "How many times in total do you encounter the word \"pigeon\" in these articles: \"Peru\", \"Pusha T\", and \"Doom (2016 video game)\"?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Peru in the search box, press Enter.\n2. Count the occurrences of the word \"pigeon\" in the visited article and remember the count.\n3. Type Pusha T in the search box, press Enter.\n4. Similarly, count the occurrences of the word \"pigeon\" in the visited article, remember the count, and add it to the previous count.\n5. Type Doom (2016 video game) in the search box, press Enter. If you cannot find the article, then first search for Doom, and click on the hyperlink of the Doom (2016 video game).\n6. Similarly, count the occurrences of the word \"pigeon\" in the visited article, remember the count, and add it to the previous count.\n7. As the total count you found is zero for this task, send a message to the user: \"Zero\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"zero |OR| 0 |OR| none |OR| no occurrences |OR| not appear |OR| no mention |OR| no instances"
],
"must_exclude": [
"^.*\\b(?:total|sum|altogether|combined|overall)\\b[^a-z0-9]{0,4}(?:count|number|is|of|was|=)?[^a-z0-9]{0,4}(?:[1-9][0-9]*|one|two|three|four|five|six|seven|eight|nine|ten)\\b(?!\\s*(?:articles?|pages?|searches?|results?)).*$"
],
"scope": "full",
"fuzzy_match": "Zero"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the count zero. number_match on 0 would reject correct answers that never write the digit ('the word appears in none of the three articles'), so string_match with zero-synonyms is used instead. Trap 3 applies: '0' can appear incidentally in a per-article breakdown, so a must_exclude regex kills any answer that states a non-zero aggregate. The leading word is a set (total|sum|altogether|combined|overall) so that a wrong breakdown summed with 'in sum, one occurrence' is also caught, not just literal 'total'; the number class is strictly non-zero, so a correct 'the total is zero' never fires, and the lookahead keeps 'a total of 3 articles' from firing.",
"source": "batch_12.json"
}
}
},
{
"task_id": 132,
"intent": "Which three biogeochemical cycles were mentioned in the article on Biology?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Biology in the search box and press Enter.\n2. Navigate to the section discussing ecosystems or energy/cycles, which is \"Biosphere\".\n3. Identify the specific biogeochemical cycles listed in the text. Send a message to the user: \"nitrogen, carbon, and water\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"nitrogen"
],
[
"carbon"
],
[
"water"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "nitrogen, carbon, and water"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Three-element enumeration. Order is not requested by the intent, so ordered:false. Only the cycle names are required, so 'the nitrogen cycle' / 'nitrogen' / '**nitrogen**' all match. No forbidden entries: a correct answer could legitimately contrast the three with a cycle it ruled out.",
"source": "batch_09.json"
}
}
},
{
"task_id": 133,
"intent": "How many sections are there in the article on the general theory of relativity (including the introduction section but excluding the Related Pages and See Also sections)?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type General theory of relativity in the search box and press Enter.\n2. Count the Introduction (1) plus the main numbered headers. Ensure \"Related Pages,\" \"See Also,\" and \"References\" are excluded.\n3. The number of sections is three. Send a message to the user: \"Three\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 3
},
"fuzzy_match": "Three"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "A count spelled out in the gold ('Three'); number_match parses both 'three' and '3'. Exact comparison -- a count admits no tolerance. Scope kept at 'full' because a correct answer often states the verdict after naming the section list. Medium confidence for two reasons: the value 3 is low-discriminative (any unrelated gold containing a 3 satisfies this spec, so expect crosstalk), and a verbose answer that enumerates section numbers ('1. Introduction 2. ... 4. ...') would incidentally contain a 3 -- but such an answer that ends on a different total is rare in practice.",
"source": "batch_13.json"
}
}
},
{
"task_id": 134,
"intent": "Visit the first hyperlink in the article \"CryEngine\". What is the name of the country mentioned in the first section of the visited page?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type CryEngine in the search box and press Enter.\n2. Click the very first hyperlink in the main text, which is \"Game engine\".\n3. Read the first section (introduction) for any country names. As none are found, send a message to the user: \"No country mentioned\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no country |OR| no countries |OR| none |OR| ^[\\s\\S]*\\bnot\\b[\\s\\S]{0,30}countr[\\s\\S]*$"
],
"scope": "first_sentence",
"fuzzy_match": "No country mentioned"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Negative finding ('No country mentioned'). Alternatives cover 'no country/countries', a bare 'None', and 'does not mention/name any country'. scope first_sentence prevents a wrong answer that names a country first and then adds 'no other country is mentioned' from passing.",
"source": "batch_14.json"
}
}
},
{
"task_id": 135,
"intent": "Which fast food restaurants were mentioned in the article on hamburgers?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Hamburger in the search box and press Enter.\n2. Scan the entire article for names of major fast food chains.\n3. List the fast food chains found in the text. Send a message to the user: \"Burger King, Wendy's, McDonald's\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"burger king"
],
[
"wendy's |OR| wendys |OR| wendy s"
],
[
"mcdonald's |OR| mcdonalds |OR| mcdonald s"
]
],
"ordered": false
},
"fuzzy_match": "Burger King, Wendy's, McDonald's"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Unordered enumeration of three chains; the intent asks 'which ones', not for an order. Apostrophe-less spellings are offered as alternatives because normalization preserves internal apostrophes, so 'Wendys' would not match 'wendy's'. No 'forbidden' list: an answer that adds a further chain the article really does mention should not be punished by a spec written from the gold alone.",
"source": "batch_10.json"
}
}
},
{
"task_id": 136,
"intent": "How many of the hyperlinks from the \"History and geography\" section of the Rio de Janeiro page refer to places (excluding pages that don't exist)?",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type Rio de Janeiro in the search box and press Enter.\n2. Navigate to the \"History and geography\" section.\n3. Visit each hyperlink in this section to see if it refers to a geographical place. Do this by clicking on the hyperlink, checking it, then going back, and clicking on the next hyperlink.\n4. For each visited page, remember if it's a geographic place.\n5. Count the number of geographic places that you have remembered. There should be only one such place, which is Nova Iguaçu. Send a message to the user: \"One\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 1,
"scope": "first_sentence"
},
"fuzzy_match": "One"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'One' is a count; number_match reads both 'One' and '1'. Trap 3: 'one' is a low-discriminative token that can appear incidentally, so the match is restricted to the verdict sentence - an answer that reports a different count in its first sentence ('Two of the links...') fails even if 'one' shows up later in the justification. Medium for the residual case of a first sentence that both states a wrong count and uses 'one' as a pronoun.",
"source": "batch_15.json"
}
}
},
{
"task_id": 137,
"intent": "Visit the article on the last grandmaster mentioned in Magnus Carlsen's article, and tell me the birthplace of that grandmaster.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Magnus Carlsen\" in the search box and press Enter.\n2. Identify the last Grandmaster mentioned in the text, which is Garry Kasparov, and click on his hyperlink.\n3. Identify the place of birth of the grandmaster from his article, which is Baku, Azerbaijan. Send a message to the user \"Baku, Azerbaijan\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"baku"
],
"scope": "full",
"fuzzy_match": "Baku, Azerbaijan"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Birthplace of Garry Kasparov. Only the city is required: 'Baku' alone is a genuinely correct answer, so demanding 'Azerbaijan' as well would reject it. 'Baku' is unique enough that no wrong birthplace contains it.",
"source": "batch_11.json"
}
}
},
{
"task_id": 138,
"intent": "List all the countries mentioned in the 'Antonio de Cabezón' article, and tell me their names in alphabetical order.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Antonio de Cabezón\" in the search box and press Enter.\n2. Identify names of the countries found: Italy, Spain, Germany, Luxembourg, and Netherlands. Sort these names into alphabetical order.\n3. Send a message to the user \"Germany, Italy, Luxembourg, Netherlands, Spain\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"germany"
],
[
"italy"
],
[
"luxembourg"
],
[
"netherlands"
],
[
"spain"
]
],
"ordered": true
},
"fuzzy_match": "Germany, Italy, Luxembourg, Netherlands, Spain"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Five-country enumeration; the intent explicitly demands alphabetical order, so ordered:true is warranted (trap 5 satisfied). No 'forbidden' entries: a correct answer may legitimately mention a country it ruled out.",
"source": "batch_12.json"
}
}
},
{
"task_id": 139,
"intent": "Start at the \"Valve Corporation\" article and sequentially visit the hyperlinks in that article. Stop when you find a hyperlink where the hyperlink text doesn't match the title of the page it leads to, and tell me the text of that hyperlink.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Valve Corporation\" in the search box and press Enter.\n2. Click the first hyperlink \"video game developer\" and verify whether the page title matches the hyperlink text.\n3. As the texts match, go back and click the second hyperlink \"digital\" and verify whether the page title matches the hyperlink text.\n4. As the texts match, go back and click the third hyperlink \"distributor\".\n5. Observe that the page title (\"distribution\") does not match the hyperlink text (\"distributor\"). Send a message to the user \"distributor\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"distributor"
],
"scope": "full",
"fuzzy_match": "distributor"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The answer is the hyperlink text 'distributor'. It is not among the anchors named in the additional_instructions ('video game developer', 'digital'), so it is discriminative.",
"source": "batch_16.json"
}
}
},
{
"task_id": 140,
"intent": "Start at the \"Valve Corporation\" article and sequentially visit the hyperlinks in that article. Stop when you find a hyperlink where the hyperlink text doesn't match the title of the page it leads to, and tell me the names of all the hyperlinks that you have visited.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Valve Corporation\" in the search box and press Enter.\n2. Visit the first hyperlink \"video game developer\", confirm the article title matches the hyperlink text, and record the name.\n3. Visit the second hyperlink \"digital\", confirm the article title matches the hyperlink text, and record the name.\n4. Visit the third hyperlink \"distributor\" and observe that the page title does not match the text. Record \"distributor\" and stop the process.\n5. Send a message to the user, the names of the pages that you recorded as visited, \"video game developer, digital, distributor\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"video game developer |OR| videogame developer"
],
[
"digital"
],
[
"distributor"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "video game developer, digital, distributor"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the traversal's three hyperlink texts. ordered:false on purpose: the intent asks for 'the names of all the hyperlinks that you have visited', not for them to be reported in order, and agents routinely lead with the stopping link ('I stopped at distributor. The links I visited were video game developer, digital, distributor'), which ordered:true would wrongly reject. Discrimination comes from requiring all three: word-boundary matching means 'distributor' is not satisfied by 'digital distribution', so an agent that stopped one link early or named the wrong stop fails.",
"source": "batch_13.json"
}
}
},
{
"task_id": 141,
"intent": "Start from the article on the country \"Angola\". Sequentially visit the hyperlinks in that article. Stop when you visit a hyperlink that doesn't have a valid page, and tell me the text of that hyperlink.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Angola\" in the search box and press Enter.\n2. Begin clicking hyperlinks in the article sequentially to check for page validity. Do this by clicking on a hyperlink, checking, then going back. Remember the pages that you have visited so that you don't revisit them.\n3. Continue until you click the hyperlink with the text \"coastline\".\n4. Identify that this link leads to an invalid page or a \"red link\" (page does not exist).\n5. Send a message to the user \"coastline\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"coastline |OR| coast line"
],
"scope": "full",
"fuzzy_match": "coastline"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the literal link text. Word-boundary matching separates it from the near-miss link text 'coast'; the 'coast line' alternative covers the spaced spelling. The token does not appear in the intent, only in the walkthrough instructions, so no trap-1 issue for the answer.",
"source": "batch_01.json"
}
}
},
{
"task_id": 142,
"intent": "Start at the article \"Crayon\" and serially visit the first five hyperlinks in the article's content. Tell me the titles of the articles that don't have a valid page.",
"sites": [
"wiki"
],
"start_url": "__WIKI__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Crayon\" in the search box and press Enter.\n2. Identify the first five hyperlinks in the article content.\n3. Click on the first hyperlink and identify that it is a valid page. Remember this fact.\n4. Go back and click on the second hyperlink in the \"Crayon\" page and identify that it is a valid page. Remember this fact.\n5. Go back and click on the third hyperlink in the \"Crayon\" page and identify that it is a valid page. Remember this fact.\n6. Go back and click on the fourth hyperlink in the \"Crayon\" page and identify that it is a valid page. Remember this fact.\n7. Go back and click on the fifth hyperlink in the \"Crayon\" page and identify that it is a valid page. Remember this fact.\n8. Confirm that all five pages load correctly and contain content. Send a message to the user: \"All the articles have valid pages\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^.*\\b(all|every|each)\\b(?:(?!\\bnot\\b|n't|\\bno\\b|except|invalid|missing|broken|fail)[^.!?]){0,60}\\b(valid|exist|exists|work|works|working|load|loads|loaded|fine|good)\\b.*$"
],
"must_exclude": [
"except",
"other than",
"apart from",
"does not have a valid |OR| doesn't have a valid |OR| do not have valid |OR| don't have a valid |OR| did not have a valid |OR| didn't have a valid |OR| does not have a page |OR| doesn't have a page |OR| do not have a page |OR| don't have a page |OR| have no valid page |OR| has no valid page",
"does not exist |OR| doesn't exist |OR| do not exist |OR| don't exist",
"does not load |OR| doesn't load |OR| do not load |OR| don't load |OR| fails to load |OR| failed to load |OR| not found |OR| error page"
],
"scope": "full",
"fuzzy_match": "All the articles have valid pages."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "The correct answer is a negative-existence claim ('no article lacks a page'), so there is no entity to anchor on. The regex requires the affirmative 'all/every/each ... valid/exists/loads/fine' claim, and — crucially — its lookahead-guarded window forbids any negation token ('not', \"n't\", 'no', 'except', 'invalid', 'missing', 'broken', 'fail') between the quantifier and the validity word. This kills the earlier false accept 'All five links were checked, and Pigment does not load' (a negation sits between 'all' and 'load'). The must_exclude entries catch the 'all valid EXCEPT one' / 'the rest are all valid but X does not have a page / shows an error page' shapes; they are tied to page/valid/load/exist so they do NOT trip a correct 'I don't have any titles to report' or 'none have any page issues'. Medium confidence: a purely negative correct phrasing that never uses all/every/each (e.g. 'none of them is missing a page') is rejected, and a self-contradictory wrong answer ('all five load correctly, but Pigment is broken') that names no excluded phrase would slip through.",
"source": "batch_05.json"
}
}
},
{
"task_id": 143,
"intent": "Which seems to be the deadlier accident (based on the number of casualties) from these two articles: (1) Serb pilots defend colleague in Air India Express disaster, and (2) Molten steel kills 32 workers in Liaoning, China? Mention the name of the article related to the deadlier accident.",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Serb pilots defend colleague in Air India Express disaster\" in the search box and press Enter.\n2. Scan the search results to identify the casualty count mentioned for this disaster, which is 158. Remember the count.\n3. Type \"Molten steel kills 32 workers in Liaoning, China\" in the search box and press Enter.\n4. Scan the search results to confirm the casualty count for this accident, which is 32. Remember the count.\n5. Compare the two casualty counts to determine which is higher. Since the first one is higher, send a message to the user: \"(1) Serb pilots defend colleague in Air India Express disaster\".",
"eval": {
"eval_types": [
"llm_judge"
],
"reference_answers": {
"fuzzy_match": "(1) Serb pilots defend colleague in Air India Express disaster"
},
"revision": 1,
"annotation": {
"confidence": "low",
"subjective": true,
"gold_suspect": false,
"notes": "Environment-verified casualties: Air India Express disaster = 158 killed, Molten steel = 32 killed, so gold (1) Air India is correct. But this is trap 1 at its worst -- BOTH option titles are quoted in the intent, and the winner is signalled by relational language ('the latter', 'the former', 'the first one'), not by which title appears first. The earlier deterministic regex used order-of-mention as a proxy for the winner, and the reviewer showed it both false-REJECTS a correct answer ('Between (2) Molten steel ... and (1) Serb pilots ..., the deadlier is the latter') and false-ACCEPTS the mirror-image wrong answer ('Between (1) Serb pilots ... and (2) Molten steel ..., the deadlier is the latter'). must_include(correct title) alone false-accepts 'the deadlier is Molten steel, not Air India'; must_exclude(wrong title) false-rejects the common 'Air India, not Molten steel' form (trap 2). No deterministic combination separates correct from incorrect here, so this task legitimately stays on llm_judge. Examples below are retained for documentation but are not executed for an llm_judge spec.",
"source": "batch_07.json"
}
}
},
{
"task_id": 144,
"intent": "Which cities are mentioned in any one of these two articles: (1) Australia, NATO enhance ties, and (2) Two pieces of suspected plane debris from Maldives taken to Malaysia for analysis?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Australia, NATO enhance ties\" in the search box and press Enter.\n2. Read the article to identify the city mentioned, which is Brussels, and remember it.\n3. Type \"Two pieces of suspected plane debris from Maldives taken to Malaysia for analysis\" in the search box and press Enter.\n4. Read the article to identify any cities mentioned. You will find that no cities are mentioned in this article, so you don't need to remember anything from here.\n5. Send a message to the user with the city you remembered: \"Brussels\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"brussels"
],
"must_exclude": [
"kuala lumpur",
"canberra",
"male"
],
"scope": "first_sentence",
"fuzzy_match": "Brussels"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the single city Brussels; it does not appear in the intent. The failure mode a plain must_include cannot catch is an over-answer that adds a hallucinated city from the second (city-free) article, so the leading sentence must not name the plausible false positives: Kuala Lumpur (Malaysia), Malé (folds to 'male', Maldives) and Canberra (Australia). first_sentence scope keeps a trailing explanation such as 'the second article mentions no city' from tripping the exclusions. Medium because the exclusion list is a judgement call and because an answer that explicitly rules Kuala Lumpur out inside its first sentence would be rejected.",
"source": "batch_13.json"
}
}
},
{
"task_id": 145,
"intent": "Which countries are mentioned in both of these articles: (1) Kenya deports Somali businessman, and (2) Rwandan genocide suspect arrested in Uganda?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Kenya deports Somali businessman\" in the search box and press Enter.\n2. Read the article to identify the countries mentioned: Kenya and Somalia. Remember the names of these countries.\n3. Type \"Rwandan genocide suspect arrested in Uganda\" in the search box and press Enter.\n4. Read the article or snippets to identify the countries mentioned: Uganda, Rwanda, Tanzania, Democratic Republic of the Congo, and the United States. Remember the names of these countries.\n5. Compare the lists of countries from both articles. As there are no countries that appear in both articles, send a message to the user: \"None\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^(none|no|neither)\\b[\\s\\S]*$ |OR| ^[\\s\\S]*\\bno\\b[\\s\\S]{0,20}countr[\\s\\S]*$ |OR| ^[\\s\\S]*\\bnot\\b[\\s\\S]{0,25}(share|common|overlap|both|appear)[\\s\\S]*$"
],
"scope": "first_sentence",
"fuzzy_match": "None"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is 'None' (empty intersection). Country names cannot be excluded because a correct answer usually enumerates each article's countries to justify the empty overlap, so the anchor is the negation itself: a verdict that opens with none/no/neither, or says 'no countries', or 'do not share/overlap'. scope first_sentence keeps a wrong answer's trailing 'none of the others overlap' from rescuing it.",
"source": "batch_14.json"
}
}
},
{
"task_id": 146,
"intent": "Compare the first two articles that appear when you search for articles on Morocco. Are these two articles related to the same event?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Morocco\" in the search box and press Enter.\n2. Open the first article in the search results, \"Meteorites in Morocco found to be from Mars\", and analyze the main event described. Remember your analysis.\n3. Open the second article in the search results, \"Morocco raises terror threat level to 'maximum'\", and analyze the main event described. Remember your analysis.\n4. Compare the events to determine whether they refer to the exact same incident. Since they don't, send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| unrelated |OR| different"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold. first_sentence isolates the verdict. 'not'/'unrelated'/'different' are accepted alternatives because a correct answer often states the verdict as 'They are not about the same event.' rather than a bare 'No'. must_exclude 'yes' in the same scope kills the affirmative near-miss whose tail mentions the differing topics.",
"source": "batch_10.json"
}
}
},
{
"task_id": 147,
"intent": "Is there any news article regarding San Diego that was published in 2024?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"San Diego\" in the search box and press Enter.\n2. Scan the search results for articles whose publication date contains \"2024\".\n3. As the first search result is from 2024, send a message to the user: \"Yes\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no recipe from the guidelines: verdict in the leading sentence, 'no' forbidden there. Word-boundary matching keeps 'no' from firing on 'none of the newer ones' appearing later in a justification, which first_sentence excludes anyway. Cross-task leniency against other yes-golds is inherent to a bare 'Yes' gold and cannot be tightened without rejecting the gold itself.",
"source": "batch_11.json"
}
}
},
{
"task_id": 148,
"intent": "Were these two articles published on the same day: (a) Former guitarist of pioneering death metal band Possessed dies in shootout with San Francisco police, and (b) Seven civilians killed in Iraq?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Former guitarist of pioneering death metal band Possessed dies in shootout with San Francisco police\" in the search box and press Enter.\n2. Locate the publication date of the article, which is September 25, 2025, and remember this date.\n3. Type \"Seven civilians killed in Iraq\" in the search box and press Enter.\n4. Locate the publication date of the article, which is also September 25, 2025. Since this date matches the date you remembered, send a message to the user: \"Yes\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"^(?:no|nope)\\b.*$"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/No gold. The must_exclude is anchored (^no|^nope) rather than a bare 'no' token: the wrong answer always opens with the verdict 'No, ...', while a correct 'Yes' answer can legitimately contain a mid-sentence 'no' in the same first sentence ('Yes, both share the same date, so there is no difference'). A bare must_exclude ['no'] false-rejects that correct phrasing; the anchor fixes it without letting any wrong answer through, since a wrong answer that fails to open with no/nope has no 'yes' token and is already caught by must_include.",
"source": "batch_12.json"
}
}
},
{
"task_id": 149,
"intent": "Navigate to the 23rd article in the search results for \"crime patrol\". Then take the first two words of the title of the visited article, search those two words, and report the title of the last article in the search results.",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"crime patrol\" in the search box and press Enter.\n2. Scroll down, click on the third page icon, and find the third result on the third page: \"Federal judge rejects hate crime plea in Arbery killing\".\n3. Identify the first two words of the title, \"Federal judge\".\n4. Type those two words into the search box and press Enter.\n5. Scroll down and click on the last page of the search results, which is page 100.\n6. Identify the last search result on that page and send its title to the user: \"Americans are getting fatter, not-for-profit's report finds\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"americans are getting fatter"
],
"scope": "full",
"fuzzy_match": "Americans are getting fatter, not-for-profit's report finds"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Article title. The leading clause is highly distinctive and unaffected by how the agent renders the 'not-for-profit's' half (hyphens, apostrophe, 'nonprofit'), so only that clause is required.",
"source": "batch_05.json"
}
}
},
{
"task_id": 150,
"intent": "Follow this navigation path: Search \"Utah\", visit the fourth search result, identify the name of the first city in the body/content of the article, and search its name. Visit the fourth search result and tell me the name of the last state mentioned in the visited article. If you encounter a redirect link at any point, then visit that link. If any of the articles are not found, then report the task as incomplete.",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Utah\" in the search box and press Enter.\n2. Navigate to and click on the fourth search result, which is \"U.S. state of Utah begins to accept evacuees from Hurricane Katrina\".\n3. Read the content of the article to identify the first city mentioned, which is New Orleans.\n4. Type the name of that city into the search box and press Enter.\n5. Navigate to and click on the fourth search result in this new list, \"Total evacuation of New Orleans planned\".\n6. Scan the article to find the last state mentioned in the text, which is Texas.\n7. Send a message to the user: \"Texas\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"texas"
],
"scope": "first_sentence",
"fuzzy_match": "Texas"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a single state name that does not appear in the intent (the intent names Utah, the additional_instructions also mention New Orleans). first_sentence scope keeps the verdict from being satisfied by a trailing recap of the navigation path. No must_exclude on 'Louisiana': a correct answer may legitimately mention it as the state New Orleans is in.",
"source": "batch_15.json"
}
}
},
{
"task_id": 151,
"intent": "How many articles did you find on India winning the 2025 Champions Trophy?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"India winning the 2025 Champions Trophy\" in the search box and press Enter.\n2. Count the number of relevant articles in the search results. Then send the number as a message to the user: \"One\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 1,
"scope": "full"
},
"fuzzy_match": "One"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "A count ('One'). number_match parses 'one' and '1' and just requires 1 to be PRESENT, so the incidental '2025' from the intent (2025 != 1) does not cause a false accept. Switched scope from first_sentence to full: first_sentence false-rejected a natural correct answer whose count lands in the second sentence ('I searched ... I found one.') because the first sentence carried only '2025' — verified. Medium because 1 is a low-discriminative value: a wrong answer that mentions a stray '1' (e.g. 'article 1') alongside a different total could false-accept under either scope.",
"source": "batch_16.json"
}
}
},
{
"task_id": 152,
"intent": "How many suspects have been arrested so far in connection with Pheobe Bishop's murder?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Pheobe Bishop murder suspects arrested\" in the search box and press Enter.\n2. Read the search results or top articles to find the current number of arrested suspects. You will find an article at the top, \"Third person charged in relation to Pheobe Bishop's alleged murder\", which means three people have been arrested so far. Check the other search results to confirm that no higher number is reported.\n3. Send a message to the user: \"Three\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 3
},
"fuzzy_match": "Three"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Spelled-out count; number_match parses both 'Three' and '3'. Exact comparison, no tolerance. Ordinal words like 'third' are not parsed as cardinals, so an answer that cites the 'Third person charged' headline while giving a different count still fails. Medium because a stray literal '3' anywhere in the answer would satisfy it; first_sentence scope was rejected because agents often state the evidence before the count.",
"source": "batch_01.json"
}
}
},
{
"task_id": 153,
"intent": "I heard workers died in an accident involving molten steel in China. Can you tell me when the last similar major incident happened in China?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"China molten steel accident workers died\" in the search box and press Enter.\n2. Click on the first search result, \"Molten steel kills 32 workers in Liaoning, China\".\n3. Identify the year of the last similar major incident mentioned, which is 1949. Send a message to the user: \"1949\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"1949"
],
"scope": "full",
"fuzzy_match": "1949"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Year answer: literal digits, no magnitude ambiguity, and 1949 appears nowhere in the intent. Word-boundary matching keeps it from matching inside a longer number.",
"source": "batch_14.json"
}
}
},
{
"task_id": 154,
"intent": "I heard Utah refused radioactive waste from a Maine plant. When did that plant stop producing electricity?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Utah refuses radioactive waste Maine plant\" in the search box and press Enter.\n2. Click on the first search result, \"Radioactive soil from Maine reactor refused at landfill in Utah\".\n3. Verify whether the visited article mentions when the plant stopped producing electricity. Since this information is present, send a message to the user: \"1997\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"1997"
],
"scope": "full",
"fuzzy_match": "1997"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a year: literal digits with no magnitude ambiguity, so string_match with must_include is the right verifier (number_match would be equivalent but pointlessly parses every other figure in the answer). Full scope is safe because no competing year is named in the intent, and word-boundary matching stops '1997' from matching inside a longer digit run.",
"source": "batch_15.json"
}
}
},
{
"task_id": 155,
"intent": "I heard Greta Thunberg was named Time magazine's Person of the Year. What is the first article about this?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Greta Thunberg Time magazine Person of the Year\" in the search box and press Enter.\n2. Click on the first search result, \"Greta Thunberg named 2019 Time Person of the Year\".\n3. Identify the publication date of the visited article. Send a message to the user: \"December 18, 2024\".",
"eval": {
"eval_types": [
"string_match",
"number_match"
],
"reference_answers": {
"must_include": [
"december |OR| dec |OR| 12"
],
"number_match": {
"values": [
18,
2024
]
},
"scope": "full",
"fuzzy_match": "December 18, 2024"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a publication date but the intent literally asks 'What is the first article about this?' — the date only answers the additional_instructions, so the gold does not answer the stated intent (flagged for human review; spec still follows the gold). Day+year required exactly and the month via december/dec/12, so 'December 18, 2019', 'November 18, 2024' and a title-only answer all fail while 2024-12-18 and 12/18/2024 pass. The article title contains '2019', which is harmless here. | SPOT-CHECK: gold is a publication date but the intent primarily asks WHICH article; only additional_instructions reveal a date was wanted. | GOLD DEFENSIBLE: the additional_instructions direct the agent to report the publication date, which the gold gives. The intent alone reads as 'which article', but agents receive intent + instructions together. Left unchanged.",
"source": "batch_06.json"
}
}
},
{
"task_id": 156,
"intent": "How many articles did you find on Ken Lay (articles that consist only of redirect pages should be excluded)?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Ken Lay\" in the search box and press Enter.\n2. Based on the titles of the search results, you will find the first four search results to be relevant.\n3. Visit the first search result, \"Ken Lay dies in Aspen\". As this is a redirect link, go back.\n4. Visit the second search result, \"Ken Lay dies of heart attack\". As this is a redirect link, go back.\n5. Visit the third search result, \"Enron founder Ken Lay dies in Aspen, Colorado\". This is a valid search result; remember the title of the article.\n6. Go back and visit the fourth search result, \"Former Enron CEO Kenneth Lay dies\". As this is also a redirect link, count the number of valid articles you have remembered, which is one. Send a message to the user: \"One\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"one |OR| 1"
],
"must_exclude": [
"^.*(?<![a-z])(?:zero|two|three|four|five|0|2|3|4|5) (?:valid|non[- ]redirect|non redirect|real|actual|genuine|legitimate|proper|distinct|unique|standalone|non[- ]duplicate) articles?(?![a-z]).*$",
"^.*(?:there are|there is|leaving|that leaves|leaves|so there are|so we have|so i have|answer is|count is|total of|end up with|end with|arrive at) (?:only |just |a |the )?(?:zero|two|0|2) (?!redirect)articles?(?![a-z]).*$",
"^.*(?<![a-z])(?:zero|two|0|2) (?:of (?:the )?(?:them|four|4|results|search results|these|those) )?articles? (?:remain|remains|are left|is left|qualify|qualifies|count|counts|are valid|were valid|are real)(?![a-z]).*$",
"^.*(?<![a-z])(?:zero|two|0|2) (?:of (?:the )?(?:them|four|4|results|search results|these|those) )?(?:are|were) (?:valid|real|non[- ]redirect|actual|genuine|legitimate|standalone|non[- ]duplicate)(?![a-z]).*$",
"^.*(?<![a-z])(?:only|just) (?:zero|two|0|2)(?![a-z0-9]).*$"
],
"scope": "full",
"fuzzy_match": "One"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count answer, gold 'One' (one non-redirect article). Switched from number_match to string_match must_include ['one |OR| 1'] because number_match merges adjacent spelled-out numbers ('Just one. Three of the four...' parses 'one three'->4 and loses the 1), false-rejecting valid answers. Trap 3: 'One' is low-discriminative and a correct answer also cites the four results and three redirects, so full scope is required. The dominant wrong answer 'Two' fails must_include outright; the must_exclude regexes then catch the residual case where a wrong final count of two/zero co-occurs with an incidental 'one' ('...two valid articles... one of the four is...'). The exclude targets 'two' only in a VALIDITY context (valid/real/remain/count) so it never fires on the legitimate 'the first two results are redirects'. Medium confidence: the intermediate counts 2/3/4 all appear legitimately, so completeness is impossible; realistic near-misses are covered by negative_examples.",
"source": "batch_02.json"
}
}
},
{
"task_id": 157,
"intent": "Can you tell me the name of the article on the Indian prime minister testing positive for COVID-19?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Indian prime minister testing positive for COVID-19\" in the search box and press Enter.\n2. Review the search results to see whether any credible articles report this as a fact.\n3. As no legitimate reports are found, conclude that no such article exists. Send a message to the user: \"No such article exists\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^.*\\bno\\b[^.;]{0,25}\\b(?:article|articles|news|report|reports|story|stories|coverage|record|records|result|results|match|matches|source|sources)\\b.*$ |OR| ^.*\\b(?:not|never)\\s+exist\\w*\\b.*$ |OR| ^.*\\b(?:could not|couldn't|couldnt|can not|cannot|can't|cant|did not|didn't|didnt|do not|don't|dont|unable to|failed to|was not able to)\\s+(?:find|locate|identify)\\b[^.;]{0,30}\\b(?:article|articles|news|report|story|coverage|such|any|it|one|match|record|anything|result|results|source|evidence)\\b.*$ |OR| no such |OR| nothing relevant |OR| nothing found |OR| no legitimate |OR| no credible |OR| no evidence |OR| does not exist |OR| doesn't exist"
],
"scope": "full",
"fuzzy_match": "No such article exists"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trick question: the gold is a 'nothing found' verdict, so the anchor is a negative-existence phrase. Rather than a flat list containing bare 'not find' (which the draft matched inside 'could not find the exact date' next to a hallucinated title -- a false accept), the anchors are regexes that require the negation to be ABOUT an article/report/search: 'no ... article/news/report/...', 'not/never exist...', or 'could not find/locate ... article/such/any/it/coverage/...'. 'yes' is deliberately NOT excluded (the intent opens 'Can you tell me ...', so 'Yes, but no such article exists' is correct). Medium: a wrong answer that names a title AND asserts non-existence of the article in the same breath could still pass.",
"source": "batch_08.json"
}
}
},
{
"task_id": 158,
"intent": "Follow this navigation path: search for \"England,\" visit the second article in the results, then take the first three words of its main content and search them. Visit the fifth search result. What is the first sentence of that article's main content? If you encounter a redirect link at any point, follow the redirect. If any of the articles are not found, report the task as incomplete.",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"England\" in the search box and press Enter.\n2. Navigate to and click on the second article in the results, \"England remembers Bobby Robson\".\n3. Identify the first three words of the article's main content, \"Since his death\".\n4. Type those three words, \"Since his death\", into the search box and press Enter.\n5. Navigate to and click on the fifth search result, \"Serial killer sentenced to death in Swaziland\".\n6. Read the first sentence of the main content and send it as a message to the user: \"A convicted serial killer has been sentenced to death in the African country of Swaziland; his death will be the first execution in the country since 1983.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"swaziland",
"1983",
"first execution |OR| execution"
],
"scope": "full",
"fuzzy_match": "A convicted serial killer has been sentenced to death in the African country of Swaziland; his death will be the first execution in the country since 1983."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": true,
"notes": "GOLD/ENV MISMATCH (spot-check): the environment's rendered HTML has dropped the phrases 'serial killer' and 'sentenced to death' from the first sentence, which actually reads 'A convicted has been by in the African country of Swaziland; his death will be the first execution in the country since 1983.' Requiring those gold phrases would false-reject a faithful agent, so the spec anchors on tokens that DO render: 'swaziland' + '1983' + 'first execution'. These still reject the bare article title 'Serial killer sentenced to death in Swaziland' (which lacks both 1983 and 'first execution'). Human review: fix the environment HTML or the gold. | ESCALATED: Gold quotes phrases the environment's HTML has dropped ('serial killer', 'sentenced to death'). This is an ENVIRONMENT bug, not a gold error; fixing the rendered article is the real remedy. Spec already anchors on tokens that render. Left flagged, gold unchanged.",
"source": "batch_09.json"
}
}
},
{
"task_id": 159,
"intent": "How many external links are provided in the article \"World Health Organization declares COVID-19 pandemic\"?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"World Health Organization declares COVID-19 pandemic\" in the search box and press Enter.\n2. Open the specific article matching this title.\n3. Count the number of external hyperlinks embedded in the article body. Then send it as a message to the user: \"Six\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 6
},
"fuzzy_match": "Six"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "A count spelled out in the gold; number_match parses both 'Six' and '6'. Scope kept at 'full' so a leading preamble sentence does not hide the count (first_sentence would both hide the count behind a preamble and still admit an incidental '6', so it is strictly worse). Medium confidence per guidelines trap 3: the answer often quotes the article title 'COVID-19' (a 19) and a small integer like 6 can appear incidentally, so an answer that said '6' of something else would be accepted; no stricter deterministic anchor is available for a bare count.",
"source": "batch_03.json"
}
}
},
{
"task_id": 160,
"intent": "Does Stephen Hawking appear in the search results when you search \"Stephen Curry\"?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Stephen Curry\" in the search box and press Enter.\n2. Scan the search result titles for the name \"Stephen Hawking\". The name should appear in the first search result. Send a message to the user: \"Yes\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no rule. first_sentence isolates the verdict so a justification like 'Yes. Stephen Curry himself is not in the first result.' is not rejected by the must_exclude. Word-boundary matching means the excluded 'no' cannot fire on 'not', 'none' or 'Nobel'.",
"source": "batch_13.json"
}
}
},
{
"task_id": 161,
"intent": "There is an article called \"2007 European football friendly match: England vs. Germany\". Do you think the publication year of the article is consistent with the year when the match took place?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"2007 European football friendly match: England vs. Germany\" in the search box and press Enter.\n2. Open the article and identify the publication date (for example, by looking for the timestamp). It should be December 18, 2024.\n3. Based on the title of the article, we can conclude that the actual date of the event is 2007. As the actual date is inconsistent with the publication date, send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| inconsistent |OR| mismatch |OR| discrepancy"
],
"must_exclude": [
"yes",
"^[\\s\\S]*\\bno (mismatch|discrepancy|inconsistency|inconsistencies)\\b[\\s\\S]*$"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('No'). first_sentence + exclude 'yes' is the standard recipe; the include list also accepts the common phrasing 'the publication year is not consistent with the match year' that never uses a bare 'no'. The positive-signal words (mismatch/discrepancy/inconsistent) can be negated to mean the OPPOSITE ('there is no discrepancy' = consistent = wrong), so the second must_exclude rejects a first sentence that says 'no discrepancy/mismatch/inconsistency'. A correct answer never asserts an absent discrepancy, so this only closes a false-accept hole; plainly-wrong 'the years are consistent' already fails must_include (none of the tokens appear).",
"source": "batch_14.json"
}
}
},
{
"task_id": 162,
"intent": "Did the 2024 article, \"Indian flooding displaces thousands\", get published before the 2024 article \"Satellite radio approved in Canada\"?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Indian flooding displaces thousands 2024\" in the search box and press Enter.\n2. Remember the specific publication date of the article, December 18, 2024.\n3. Type \"Satellite radio approved in Canada 2024\" in the search box and press Enter.\n4. Remember the specific publication date of that article, December 17, 2024.\n5. Compare the two dates that you remembered to see if the flooding article was published earlier. Send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Straight yes/no gold. first_sentence scope isolates the verdict from the date justification that follows, and word-boundary matching keeps 'no' from firing on 'not'/'north'. A correct answer may quote both December dates afterwards without affecting the match.",
"source": "batch_15.json"
}
}
},
{
"task_id": 163,
"intent": "Based on the article, \"Allahabad High Court grants bail to accused linked to Umesh Pal murder case\", when was Umesh Pal shot?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Allahabad High Court grants bail to accused linked to Umesh Pal murder case\" in the search box and press Enter.\n2. Visit the first search result, which should be the specific article you just searched for.\n3. Read the text to find the date mentioned for when Umesh Pal was shot. Then send it as a message to the user: \"February 24, 2023\".",
"eval": {
"eval_types": [
"string_match",
"number_match"
],
"reference_answers": {
"must_include": [
"february |OR| feb"
],
"number_match": {
"values": [
24,
2023
]
},
"fuzzy_match": "February 24, 2023"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A date splits cleanly into a month token plus two exact numbers, which also makes the spec order-independent ('February 24, 2023' and '24 February 2023' both pass). A single must_include of 'february 24, 2023' would demand the literal comma, so it is avoided.",
"source": "batch_07.json"
}
}
},
{
"task_id": 164,
"intent": "Navigate to the article \"Hurricane Emily is second strike for Jamaica\", find the name of the last country mentioned, search for the name of that country, and tell me the title of the last search result.",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Hurricane Emily is second strike for Jamaica\" in the search box and press Enter.\n2. Open the article and scan the text for the very last country name mentioned, which is Grenada.\n3. Type \"Grenada\" in the search box and press Enter.\n4. Click on the last page (if there are multiple pages in the search results).\n5. Scroll to the last result on the last page. Send the title as a message to the user: \"Wikinews 2020: An 'Original reporting' year in review\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"wikinews 2020",
"original reporting",
"year in review"
],
"scope": "full",
"fuzzy_match": "Wikinews 2020: An 'Original reporting' year in review"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The gold is an article title. Matching it as one literal would be brittle (the internal quotes and colon would have to survive verbatim), so it is split into three distinctive fragments that together identify only this title. 'wikinews 2020' also rejects the neighbouring year-in-review titles, which is the hardest near-miss here.",
"source": "batch_10.json"
}
}
},
{
"task_id": 165,
"intent": "Based on these two articles: (1) \"At least eight dead after drone strikes in Pakistan\" and (2) \"Tornado touches down in Joplin, Missouri\", which appears to describe the deadlier incident?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"At least eight dead after drone strikes in Pakistan\" in the search box and press Enter.\n2. Identify the casualty count mentioned in the article, which is eight. Remember the count.\n3. Type \"Tornado touches down in Joplin, Missouri\" in the search box and press Enter.\n4. Identify the casualty count mentioned in the article, which is at least 89. Remember the count.\n5. Compare the two casualty counts that you have remembered to determine the deadlier event. Send a message to the user: \"(2) Tornado touches down in Joplin, Missouri\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"tornado |OR| joplin"
],
"must_exclude": [
"^.*(?:\\bdrone\\b|\\bpakistan\\b|\\(1\\))(?:(?!\\btornado\\b|\\bjoplin\\b|\\bnot\\b|\\bnor\\b|\\bless\\b|\\bfewer\\b|[.;]).)*?\\b(?:deadlier|deadliest|more lethal|most lethal|more fatal|more deadly|most deadly|more casualties|more deaths|more fatalities|higher (?:death|casualty|fatality)|greater (?:death|casualty)|bloodier)\\b.*$",
"^.*\\b(?:deadlier|deadliest|more lethal|most lethal|more fatal|more deadly|most deadly|more casualties|more deaths|more fatalities|higher (?:death|casualty|fatality)|greater (?:death|casualty)|bloodier)\\b(?:(?!\\btornado\\b|\\bjoplin\\b|[.;]).)*?\\b(?:is|was|were|being|appears? to be|seems? to be)\\s+(?:(?!\\bnot\\b)[a-z0-9 ()]){0,18}?(?:\\(1\\)|\\bdrone\\b|\\bpakistan\\b).*$"
],
"scope": "full",
"fuzzy_match": "(2) Tornado touches down in Joplin, Missouri"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: both article titles are quoted in the intent, so a wrong answer also contains 'tornado'/'joplin'. must_include['tornado |OR| joplin'] rejects most wrong answers outright (an agent picking incident (1) usually names only the drone strikes). The two regex exclusions catch the remaining comparative wrong answers that assert the Pakistan drone strikes are the deadlier one, in either word order, using a broadened synonym set (deadlier/deadliest/more lethal/more deaths/higher death toll/bloodier/...). Both exclusions block the competing terms 'tornado'/'joplin' and 'not' between the drone mention and the superlative, so correct answers that justify the verdict by citing the 8-vs-89 counts ('the drone strike killed 8 and the tornado was deadlier') and the negated form ('the deadlier one is not the drone strikes but the tornado') are not false-rejected. Medium: an assertion of drone superiority phrased without any covered synonym could slip through.",
"source": "batch_08.json"
}
}
},
{
"task_id": 166,
"intent": "How many people were killed in the 2024 Joplin tornado?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"2024 Joplin tornado\" in the search box and press Enter.\n2. Click on the first search result, \"Tornado touches down in Joplin, Missouri\".\n3. Read the visited article to find the death toll and send a message to the user: \"At least 89 people\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 89
},
"fuzzy_match": "At least 89 people"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Death toll ('At least 89 people'). number_match requires 89 regardless of the 'at least' framing.",
"source": "batch_16.json"
}
}
},
{
"task_id": 167,
"intent": "Based on the article, \"Pilots spot 'UFOs' near the Channel Islands\", is it true that the UFOs are said to have come from Neptune?",
"sites": [
"news"
],
"start_url": "__NEWS__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Pilots spot 'UFOs' near the Channel Islands\" in the search box and press Enter.\n2. Open the article and read the details regarding the origin of the UFOs.\n3. Check if there is any claim that they came from Neptune. As there are no such claims, send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| false |OR| does not |OR| doesn't |OR| no claim |OR| no such claim |OR| incorrect |OR| untrue"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('No'). first_sentence scope with a negation and must_exclude 'yes' follows the yes/no recipe; the negated-verb alternatives accept 'The article makes no such claim'.",
"source": "batch_16.json"
}
}
},
{
"task_id": 168,
"intent": "What unique sizes are available for all the men's and women's jeans?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"jeans\" in the search box and press Enter.\n2. Based on the titles, open each product page for men's and women's jeans. You should find two such products: \"Wrangler Men's Retro Slim Fit Straight Leg Jean, Black, 42W x 32L\" and \"myhehthw Women's High Waisted Jeans for Women Distressed Ripped Jeans Slim Fit Butt Lifting Skinny Stretch Jeans Trousers\".\n3. Click on \"Wrangler Men's Retro Slim Fit Straight Leg Jean, Black, 42W x 32L\" and check the available sizes. There should be no sizes available.\n4. Go back and click on \"myhehthw Women's High Waisted Jeans for Women Distressed Ripped Jeans Slim Fit Butt Lifting Skinny Stretch Jeans Trousers\" and check the available sizes. Then send the available sizes as a message to the user: \"small, medium, large, x-large, xx-large\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"small"
],
[
"medium"
],
[
"^.*(?<![a-z0-9-])(?<!x )(?<!extra )large(?![a-z0-9]).*$"
],
[
"x-large |OR| xl |OR| extra large |OR| extra-large"
],
[
"xx-large |OR| xxl |OR| 2xl |OR| extra extra large"
]
],
"ordered": false
},
"fuzzy_match": "small, medium, large, x-large, xx-large"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Unordered set of five sizes. Plain 'large' is a regex because the substring 'large' also sits inside 'x-large'/'x large'/'extra large'/'extra-large' (the word-boundary guard only blocks letters/digits, not the hyphen). Adversarial review: the earlier regex still matched 'large' inside 'extra large', so an answer that omitted the plain-large size but named x-large as 'extra large' and xx-large as 'extra extra large' falsely passed. Added a (?<!extra ) guard (the hyphen guard already blocks 'extra-large'). No 'forbidden' on the men's 42W x 32L jean: a correct answer may mention it has no size options.",
"source": "batch_06.json"
}
}
},
{
"task_id": 169,
"intent": "What colors are available for the Men's Running Tennis shoes?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Men's Running Tennis shoes\" in the search box and press Enter.\n2. As there is one such running shoe available, click on the product titled \"Mens Running Tennis Blade Shoes Lightweight Casual Walking Sneakers Mesh Breathable Sport Sneakers Sheet Shoes\".\n3. There are three colors available on the product page. Send the colors as a message to the user: \"black, grey, khaki\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"black"
],
[
"grey |OR| gray"
],
[
"khaki"
]
],
"ordered": false,
"forbidden": [
"white",
"blue",
"red",
"green",
"brown"
]
},
"fuzzy_match": "black, grey, khaki"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Environment-verified against the product's Color option list, which is exactly Black / Grey / Khaki -- no other colour is offered, so the gold is complete. Three colour names, unordered. 'gray' is offered as the US spelling of 'grey'. All three must appear, so dropping or substituting one scores 0. Reviewer added a 'forbidden' list of common colours the product does not offer: the original spec accepted an over-lister that gives the three correct colours plus an extra ('black, grey, khaki, and white'). A correct answer never names a colour that is not an available option.",
"source": "batch_07.json"
}
}
},
{
"task_id": 170,
"intent": "Are the FIN86 Men's Elastic High Waisted Shorts made of the same material as the Yinimo Men's Gym Shorts? If not, how do they differ?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"FIN86 Men's Elastic High Waisted Shorts\" in the search box and press Enter.\n2. Click on the product \"FIN86 Men's Elastic High Waisted Shorts\" from the search results.\n3. Note the material listed in the description, which is Spandex. Remember this fact.\n4. Type \"Yinimo Men's Gym Shorts\" in the search box and press Enter.\n5. Click on the product \"Yinimo Men's Gym Shorts\" from the search results.\n6. Note the material listed in the description, which is Polyester and Cotton. Remember this fact.\n7. Based on the materials of the products that you remembered, send a message to the user: \"No, the FIN86 is made of Spandex, but the Yinimo is made of Polyester and Cotton.\"",
"eval": {
"eval_types": [
"string_match",
"list_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| differ |OR| differs |OR| different |OR| distinct |OR| unlike |OR| dissimilar"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"list_match": {
"items": [
[
"spandex"
],
[
"polyester |OR| poly cotton"
],
[
"cotton"
]
],
"ordered": false
},
"fuzzy_match": "No, the FIN86 is made of Spandex but the Yinimo is made of Polyester and Cotton."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Two-part answer: a negative verdict plus the two materials. string_match checks the verdict in the leading sentence only; adversarial pass added 'distinct/differs/unlike/dissimilar' so a correct 'They use distinct fabrics: ...' is not false-rejected, and added a 'poly cotton' alternative so 'a poly-cotton blend' still satisfies the polyester item. must_exclude 'yes' catches 'Yes, same material' and 'Yes and no' hedges. list_match runs over the full answer for spandex + polyester + cotton. Medium (was high in draft): the list_match cannot check attribution, so a swapped 'No, the FIN86 is polyester/cotton but the Yinimo is spandex' still names all three materials and would pass -- a plausible agent error not separable without fragile proximity checks.",
"source": "batch_11.json"
}
}
},
{
"task_id": 171,
"intent": "Does the longest variant of the Lindy DisplayPort to HDMI cable exceed the length of the longest variant of the Kodak HDMI Mini Cable?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Lindy DisplayPort to HDMI cable\" in the search box and press Enter.\n2. Click on the product \"LINDY 36920 0.5m DisplayPort to HDMI 10.2G Cable, Black\" from the search results.\n3. Identify the longest length variant available, which is 5 m. Remember this fact.\n4. Type \"Kodak HDMI Mini Cable\" in the search box and press Enter.\n5. Click on the product \"Kodak Playsport Zx3 HDMI Mini (Type C) Cable - HDMI Mini (Type C)\" from the search results.\n6. Identify the length based on the feature description on the product page, which is 1.8 m. Remember this fact.\n7. Compare the two lengths to see if the Lindy cable is longer, based on the information that you have remembered. Since it is, send a message to the user: \"Yes\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"^(?:no|nope)\\b.*$"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/No gold. must_exclude is anchored (^no|^nope) rather than a bare 'no' so that a correct 'Yes' answer can carry a mid-sentence 'no' in the same first sentence ('Yes, the Lindy has a 5 m variant, no shorter than the Kodak cable') without false-rejecting. Every wrong answer opens with 'No, ...'; one that does not open with no/nope lacks a 'yes' token and is already excluded by must_include.",
"source": "batch_12.json"
}
}
},
{
"task_id": 172,
"intent": "What is the total price of all the toy cars available in the shop?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"toy cars\" in the search box and press Enter.\n2. Based on the search results, you will find that no toy car is available in the shop.\n3. Hence, the sum of prices will be zero, as no toy cars are available in the shop. Send a message to the user: \"Zero (no toy cars are available in the shop)\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"zero |OR| 0 |OR| none |OR| nothing |OR| no toy cars |OR| no toy car"
],
"scope": "full",
"fuzzy_match": "Zero (no toy cars are available in the shop)"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Total price is zero because the shop stocks no toy cars. string_match rather than number_match so that '$0.00', 'Zero' and 'nothing' all pass without demanding the parenthetical justification of the gold (number_match would false-reject 'None'/'nothing', which carry no parseable digit). Digit-boundary matching means real totals like $130.00 or $45.97 do not match the '0' alternative (verified with the oracle). Medium: a hypothetical wrong sub-dollar total of $0.99 would match '0', but no set of toy cars can produce that.",
"source": "batch_11.json"
}
}
},
{
"task_id": 173,
"intent": "How many grams of protein are in a standard serving of Schoolyard cheese puffs?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Schoolyard cheese puffs\" in the search box and press Enter.\n2. Click on the product page \"Schoolyard Snacks Low Carb Keto Cheese Puffs - Cheddar Cheese - High Protein - All Natural - Gluten & Grain-Free - Healthy Chips - Low Calorie Food - 12 Pack Single Serve Bags - 100 Calories\" from the search results and find the nutritional information. In the features, you should find the amount per serving, which is 14 grams.\n3. Send a message to the user: \"14 grams\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 14
},
"fuzzy_match": "14 grams"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Straight quantity from a product's nutrition information; exact match, no tolerance. Quoting the long product title brings in 12 (pack size) and 100 (calories), which is harmless because number_match only requires 14 to be present and 14 appears nowhere else in the title. Spelled-out 'fourteen' is parsed too.",
"source": "batch_02.json"
}
}
},
{
"task_id": 174,
"intent": "Is it recommended to dry clean the Burband Women's High Waist Bike Shorts?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Burband Women's High Waist Bike Shorts\" in the search box and press Enter.\n2. Click on the first search result, \"Burband Womens High Waist Bike Shorts Tummy Control Workout Yoga Pants Running Exercise Running Shorts with Side Pockets\".\n3. Read the \"Care Instructions\" in the product description and features.\n4. Based on the instructions, you will find that it is not mentioned that dry cleaning is recommended. Send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not |OR| never |OR| isn't |OR| doesn't |OR| don't"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold 'No'. The must_include is widened past the bare 'no' because the natural correct phrasings are negations rather than a leading 'No' ('Dry cleaning is not recommended', 'the care instructions don't mention dry cleaning'). must_exclude['yes'] under first_sentence is what rejects the affirmative near-miss that also contains a 'not' ('Yes — it says dry clean only, so it is not machine washable').",
"source": "batch_13.json"
}
}
},
{
"task_id": 175,
"intent": "Does the description of the XXBR Summer T-shirts mention the material type?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"XXBR Summer T-shirts\" in the search box and press Enter.\n2. Click on the product \"XXBR Summer T-shirts for Mens, Soldier Short Sleeve 3D Street Vintage Printed Shirt Slim Fit Muscle Casual Tee Tops\" from the search results.\n3. Check whether the material type is explicitly mentioned in the product description or features.\n4. Since it is mentioned, send a message to the user: \"Yes\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes |OR| does mention |OR| is mentioned |OR| does specify |OR| is specified |OR| does state |OR| is stated |OR| does list |OR| is listed"
],
"must_exclude": [
"^no\\b[\\s\\S]*$"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('Yes'). Plain must_exclude ['no'] would reject correct answers such as 'Yes, cotton blend, no polyester', so the exclusion is a regex for a first sentence that *opens* with 'No'. Affirmative paraphrases are matched contiguously ('is mentioned' cannot match 'is not mentioned').",
"source": "batch_14.json"
}
}
},
{
"task_id": 176,
"intent": "What is the price of the most expensive bookshelf?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"bookshelf\" in the search box and press Enter.\n2. Check the prices of the bookshelves in the search results. If there are multiple pages, visit the other pages as well.\n3. Based on the search results, you will find that the bookshelf \"BOWERY HILL Traditional 84\" Tall 12-Shelf Double Wide Wood Bookcase in Espresso\" has the highest price, $596.71.\n4. Send this price as a message to the user: \"$596.71\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 596.71,
"abs_tolerance": 0.01
},
"fuzzy_match": "$596.71"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A price. number_match ignores the currency symbol and any other numbers in the product name (84\", 12-shelf). abs_tolerance 0.01 is the standard currency slack: it absorbs a cent-level rounding of the same price ($596.70) but not a different one -- the transposed near-misses $596.17 and $569.71 both differ by far more than a cent and are rejected.",
"source": "batch_03.json"
}
}
},
{
"task_id": 177,
"intent": "What's the warranty period of the Samsung remote for the UN85S9VF model?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Samsung remote UN85S9VF\" in the search box and press Enter.\n2. Open the product page \"Replaced Remote Control Compatible for Samsung UN85S9VF UN46F6300AF UN40F6300AF UN85S9VFXZA UN32F6300AF UN46F5500AF TV\" from the search results.\n3. Check the warranty period in the product description and features.\n4. In both places, you will find a 30-day quality warranty. Send a message to the user: \"30 days\".",
"eval": {
"eval_types": [
"string_match",
"number_match"
],
"reference_answers": {
"must_include": [
"day |OR| days"
],
"number_match": {
"value": 30
},
"scope": "full",
"fuzzy_match": "30 days"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Duration gold: the magnitude and the unit both matter, so number_match pins 30 and string_match pins the unit. This rejects '1 year (365 days)' (right unit, wrong number) and '30-month warranty' (right number, wrong unit). '30-day' satisfies both entries because the containment pattern treats the hyphen as a separator and number parsing ignores it. The model code UN85S9VF contributes no numbers -- its digits are preceded by word characters, which the number regex refuses.",
"source": "batch_04.json"
}
}
},
{
"task_id": 178,
"intent": "Does the Samsung remote for the UN85S9VFXZA model contain batteries?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Samsung remote UN85S9VF\" in the search box and press Enter.\n2. Open the product page \"Replaced Remote Control Compatible for Samsung UN85S9VF UN46F6300AF UN40F6300AF UN85S9VFXZA UN32F6300AF UN46F5500AF TV\" from the search results.\n3. Check whether the product includes batteries by reading the product description and features.\n4. You will find in the product description: \"Batteries and Manual are not included.\" Send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Straight yes/no gold ('Batteries and Manual are not included'). first_sentence scope is essential here: the justification quotes the product description, and the hardest near-miss is a wrong 'Yes' verdict followed by that same quotation, which the exclusion catches inside the verdict sentence.",
"source": "batch_15.json"
}
}
},
{
"task_id": 179,
"intent": "What's the material of the Yinimo Men's Gym Shorts?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Yinimo Men's Gym Shorts\" in the search box and press Enter.\n2. From the search results, click on the product \"Yinimo Mens Gym Shorts Fashionable Loose Beach Drawstring Turkey Print Beach Cool Shorts\".\n3. In the features, you will find the material composition. Send it as a message to the user: \"Polyester and Cotton\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"polyester"
],
[
"cotton"
]
],
"ordered": false,
"forbidden": [
"^(?:(?!\\bnot\\b|\\bno\\b|without|excluding|rather than|instead of|besides|aside from|other than).)*\\b(?:spandex|elastane)\\b.*$"
]
},
"fuzzy_match": "Polyester and Cotton"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Two-element material list (95% polyester / 5% cotton); intent imposes no order so ordered stays false. Both fibres must be named, which rejects '100% polyester' and 'polyester and spandex'. Added a guarded forbidden on 'spandex'/'elastane' -- the most common blend component an agent hallucinates as a third material -- so 'polyester, cotton, and spandex' is rejected as an extra-item false accept; the leading '(?!not|no|without|excluding|...)' guard still accepts a correct contrastive answer such as 'polyester and cotton, not spandex'.",
"source": "batch_08.json"
}
}
},
{
"task_id": 180,
"intent": "Is the Goya Foods wafer marketed as a Latino snack?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Goya Foods wafer\" in the search box and press Enter.\n2. Click on the product \"Goya Foods Chocolate & Vanilla Wafers, 4.9 Ounce (Pack of 24)\" from the search results.\n3. Read the product description. You will find that the product has been described as a \"Latino snack\". Send a message to the user: \"Yes\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes |OR| indeed |OR| correct |OR| marketed as a latino |OR| true |OR| affirmative"
],
"must_exclude": [
"no",
"not"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('Yes'). Mirror of the yes/no recipe, excluding both 'no' and 'not' (a correct affirmative first sentence needs neither). 'it is' was dropped as an alternative because it is a substring of 'it is not'.",
"source": "batch_16.json"
}
}
},
{
"task_id": 181,
"intent": "I'm looking to buy a jute pouf. Can you please search the shop and let me know how many such products are available?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"jute pouf\" in the search box and press Enter.\n2. Based on the titles of the search results, determine which search results are valid jute pouf products. Visit the other pages if there are multiple pages of search results. You should find only one valid search result: \"Signature Design by Ashley Herringbone Jute Pouf, 20 x 20 In, Brown & Black\".\n3. Send a message to the user: \"One\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 1
},
"fuzzy_match": "One"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count answer; number_match accepts 'One', 'one', '1' and 'a single product' is the only phrasing it would miss. Exact match, no tolerance. Medium confidence: '1' is low-discriminative, so an enumerated answer ('1. Signature Design ... 2. ...') could satisfy it incidentally. The dimensions in the product title (20 x 20 In) are harmless because they parse to 20, not 1.",
"source": "batch_01.json"
}
}
},
{
"task_id": 182,
"intent": "How many socks are available in the shop?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"socks\" in the search box and press Enter.\n2. Check the product titles in the search results to determine whether each product is actually socks. Visit the other pages too, if it is a multi-page search result.\n3. You will find five sock products. Send a message to the user: \"Five\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"five |OR| 5"
],
"must_exclude": [
"^.*(?<![a-z])(?:one|two|three|four|six|seven|eight|nine|ten|1|2|3|4|6|7|8|9|10) (?:(?!\\bnot\\b|\\bpairs?\\b|\\bpages?\\b|\\bfor\\b).){0,25}?\\b(?:are|is|were|count as|counts as|qualify as|qualifies as)\\b (?:(?!\\bnot\\b).){0,15}?socks?(?![a-z])(?!\\s+for\\b).*$",
"^.*(?<!not )(?<![a-z])(?:one|two|three|four|six|seven|eight|nine|ten|1|2|3|4|6|7|8|9|10) (?:actual |actually |real |genuine |true |proper )?socks?(?![a-z])(?!\\s+for\\b).*$"
],
"scope": "full",
"fuzzy_match": "Five"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count answer, gold 'Five'. Switched from number_match to string_match must_include ['five |OR| 5'] because number_match merges adjacent spelled-out numbers ('There are five: three pairs...' parses 'five three'->8 and loses the 5), false-rejecting valid answers. Trap 3: a wrong answer often keeps the gold number ('five results, but only four are socks'). The first must_exclude regex rejects a wrong count stated affirmatively as socks ('four are/qualify as/count as socks'); it forbids 'not'/'pair'/'page' in the gap so it never fires on the correct 'the other four results are not socks' or 'three pairs of socks'. The second rejects a bare 'N sock(s)' count ('four sock products'), excluding 'socks for ...'. Medium confidence because of the reasoned must_exclude; realistic near-misses are in the negative_examples.",
"source": "batch_02.json"
}
}
},
{
"task_id": 183,
"intent": "How many search results appear when you search the word \"cat\" in the shop?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"cat\" in the search box and press Enter.\n2. Check the number of search results displayed. It should say four. Send a message to the user: \"Four\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 4
},
"fuzzy_match": "Four"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "A small count spelled out in the gold; number_match handles 'Four' and '4' alike. Medium confidence per guidelines trap 3: a small integer can occur incidentally in a verbose answer, so an answer naming '4' of something other than the result count would be accepted; nothing stricter is possible for a bare count.",
"source": "batch_03.json"
}
}
},
{
"task_id": 184,
"intent": "Is there any red HDMI cable in the shop? If yes, order a single unit and tell me the confirmation code. Otherwise, say that none are available.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"red HDMI cable\" in the search box and press Enter.\n2. Based on the product image, identify a red HDMI cable and click on the product \"4K HDMI Cables, Short Cord, 1ft [3 Pack] Braided Cord & Gold Connectors, 1ft High-Speed HDMI 2.0 with Ethernet, for Playstation PS5, PS4, PS3, Xbox, Roku, Apple TV, HDTV, Blu-ray, Laptop, PC, Monitor\".\n3. Select the color option \"red-braided\" and the \"single pack\" option.\n4. Click \"Buy Now\", and share the confirmation code by sending a message to the user: \"60BD1183D8\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"60bd1183d8"
],
"scope": "full",
"fuzzy_match": "60BD1183D8"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Opaque confirmation code. The 'otherwise say none are available' branch is the wrong branch here, and any answer taking it necessarily lacks the code.",
"source": "batch_05.json"
}
}
},
{
"task_id": 185,
"intent": "How many rugs are available to buy?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"rugs\" in the search box and press Enter.\n2. Based on the product titles, verify which items are actually rugs. There should be two such products. Send a message to the user: \"Two\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"two |OR| 2"
],
"scope": "full",
"fuzzy_match": "Two"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Bare count gold. Switched from number_match:{value:2} to string_match ['two |OR| 2']: string_match refuses the ordinal reading ('the 2nd result is a rug, 3 rugs in total') that number_match parses as 2 and would FALSE-ACCEPT, while still matching 'Two', '2' and '**2**'. Medium per trap 3: 2 remains a low-discriminative value, so a wrong answer that enumerates its items with digit markers ('three rugs: 1. ... 2. ... 3. ...') still leaks a standalone 2 -- that residual is unavoidable without rejecting the bare gold 'Two'. Adding a 'rug' token is impossible for the same reason (the gold contains no such word). full scope avoids rejecting answers that open with a preamble sentence before the count.",
"source": "batch_04.json"
}
}
},
{
"task_id": 186,
"intent": "Is there any bikini with a wrap skirt available in the shop?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"bikini wrap skirt\" in the search box and press Enter.\n2. In the search results, check whether there are bikini wrap skirts available based on the product titles. You should find at least one such product. Then send a message to the user: \"Yes\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no rule: verdict scoped to the leading sentence so a justification like 'not available in every size' cannot flip it. Word-boundary matching means excluding 'no' does not exclude 'not' or 'none of the other results'.",
"source": "batch_01.json"
}
}
},
{
"task_id": 187,
"intent": "Can I purchase the Dota 2 video game from this shop?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Dota 2\" in the search box and press Enter.\n2. Check the search results to see whether there is a Dota 2 video game available in the shop. As there isn't, send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no recipe. 'no' matches on word boundaries so 'not', 'none' and 'nothing' do not satisfy it accidentally; first_sentence keeps the justification ('the shop only sells Dota 2 merchandise') out of scope.",
"source": "batch_02.json"
}
}
},
{
"task_id": 188,
"intent": "How many electric scooters are available in the shop?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"electric scooter\" in the search box and press Enter.\n2. Check the search results to see whether there are any valid electric scooter products available in the shop. As there aren't, send a message to the user: \"Zero\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"zero |OR| none |OR| no electric scooter |OR| no electric scooters |OR| no scooter |OR| no scooters |OR| not any electric |OR| aren't any electric |OR| are no electric |OR| ^.*(?<![\\w.])0(?![\\w.]).*$"
],
"scope": "full",
"fuzzy_match": "Zero"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the count 'Zero'. number_match is unusable on its own because the equally correct 'There are no electric scooters available' contains no parsable number, so string_match with zero-synonyms is used. The bare-digit case ('**0**', 'The answer is 0.') is matched by a regex leaf that requires a standalone 0 not adjacent to a word char OR a decimal point, so it will NOT fire on a wrong answer that quotes a one-decimal price ('$199.0') the way a plain '0' alternative would. Positive integer counts ('3', '12', '100', '10') never contain a standalone 0. The 'no ... scooter/electric' alternatives are tied to the subject so a generic 'there are no discounts' cannot satisfy them. Medium confidence: the zero-synonym set is judgement-based.",
"source": "batch_05.json"
}
}
},
{
"task_id": 189,
"intent": "Can you find any Nintendo Switch console in the shop?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Nintendo Switch\" in the search box and press Enter.\n2. Check the search results to see whether a Nintendo Switch console is available in the shop. As there isn't, send a message to the user: \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| none |OR| couldn't find |OR| could not find |OR| cannot find |OR| can't find |OR| unable to find |OR| not available |OR| not for sale |OR| not sold |OR| not carried |OR| not stocked |OR| not find |OR| doesn't have |OR| does not have |OR| doesn't sell |OR| does not sell |OR| doesn't carry |OR| does not carry |OR| no nintendo switch |OR| not in the shop"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('No'), stated in the first sentence. Bare 'not' was removed from the alternatives because it flips polarity in a wrong answer ('I found a Nintendo Switch, not the Lite version.' means one WAS found = yes); the kept alternatives are bare 'no'/'none' plus the specific 'could not/couldn't/cannot/can't/unable to find', 'not available/for sale/sold/carried/stocked/find', and 'does not/doesn't have/sell/carry' phrasings that can only express the 'No' verdict. Medium confidence per guidelines trap 3: the gold is the bare word 'No', an inherently low-discriminative token, and inherent yes/no crosstalk with other No-golds is unavoidable.",
"source": "batch_03.json"
}
}
},
{
"task_id": 190,
"intent": "I'm looking for a pair of jeans for less than $30. The size should be XL. Once you complete the order, share the completion code.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"jeans\" in the search box and press Enter.\n2. Check the product titles for a valid jeans product and confirm that its price is less than $30. You will find one such product, \"myhehthw Women's High Waisted Jeans for Women Distressed Ripped Jeans Slim Fit Butt Lifting Skinny Stretch Jeans Trousers\", that meets the criteria. Click on this product.\n3. Choose size \"x-large\".\n4. Click \"Buy Now\" to place the order.\n5. Share the confirmation code by sending it as a message to the user: \"D56D67298E\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"d56d67298e"
],
"scope": "full",
"fuzzy_match": "D56D67298E"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Opaque alphanumeric completion code; word-boundary containment makes truncated or altered codes fail.",
"source": "batch_06.json"
}
}
},
{
"task_id": 191,
"intent": "I'm looking for a box of cookies under $5. Can you please place the order and share the completion code with me?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"cookies\" in the search box and press Enter.\n2. Check the product titles for a valid cookie product, and check that its price is less than $5. You will find one such product, \"Lillys Baking Company, Cookies Blue And Whites, 10 Ounce\". Click on the product page.\n3. Click \"Buy Now\" to place the order.\n4. Share the confirmation code by sending it as a message to the user: \"C3E75E329A\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"c3e75e329a"
],
"scope": "full",
"fuzzy_match": "C3E75E329A"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A 10-character confirmation code is maximally discriminative and word-boundary matching prevents a partial-code match. Case is handled by normalization, so the lowercase reference is fine.",
"source": "batch_07.json"
}
}
},
{
"task_id": 192,
"intent": "Order these products and share the confirmation codes: Welch's Orange Pineapple Juice, Stirrings Simple Classic Cocktail Mix Mojito, and Italian Basil Pesto.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Welch's Orange Pineapple Juice\" in the search box and press Enter.\n2. Click on the first search result, \"Welchs Orange Pineapple Juice Drink Blend, 16 Fluid Ounce -- 12 per case.\".\n3. Click \"Buy Now\" to place the order, and remember the confirmation code after placing the order: \"B644DDC66C\".\n4. Type \"Stirrings Simple Classic Cocktail Mix Mojito\" in the search box and press Enter.\n5. Click on the first search result, \"2 Pack - Stirrings Simple Classic Cocktail Mix Mojito -- 25.4 fl oz\".\n6. Click \"Buy Now\" to place the order, and remember the confirmation code after placing the order: \"1069AE6414\".\n7. Type \"Italian Basil Pesto\" in the search box and press Enter.\n8. Click on the first search result, \"Delicious & Sons - Organic - Non-GMO - Gluten-free - Italian Basil Pesto Genovese Sauce with Parmigiano Reggiano PDO Cheese (6.70 oz.)\".\n9. Click \"Buy Now\" to place the order, and remember the confirmation code after placing the order: \"1A2ED223B7\".\n10. Share all the confirmation codes that you have remembered by sending a message to the user: \"B644DDC66C, 1069AE6414, 1A2ED223B7\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"b644ddc66c"
],
[
"1069ae6414"
],
[
"1a2ed223b7"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "B644DDC66C, 1069AE6414,1A2ED223B7"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Three opaque confirmation codes; all must appear. Matching is case-insensitive after normalization and word-boundary anchored, so a mistyped code cannot match. The intent lists the products but does not demand an output order, so ordered:false.",
"source": "batch_09.json"
}
}
},
{
"task_id": 193,
"intent": "Can you place an order for a Romwe wrap skirt and share the confirmation code with me? If there are size options, then please pick the medium size.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Romwe wrap skirt\" in the search box and press Enter.\n2. Click on the first search result, \"Romwe Women's Ruffle Hem Beach Cover Up Chiffon Swimsuit Wrap Skirts\".\n3. On the product page, choose the \"Medium\" size by clicking on it.\n4. Click \"Buy Now\" to place the order.\n5. Share the confirmation code by sending a message to the user: \"3105FF1662\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"3105FF1662"
],
"scope": "full",
"fuzzy_match": "3105FF1662"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Alphanumeric confirmation code -- string_match on the literal token (normalization lowercases both sides) rather than number_match, which cannot parse '3105FF1662'. Word-boundary matching means a code that merely contains the token as a substring would not falsely match.",
"source": "batch_08.json"
}
}
},
{
"task_id": 194,
"intent": "Order every variant of the Cravings by Zoe Valentine's Day chocolates and share the confirmation codes.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Cravings by Zoe Valentine's Day chocolates\" in the search box and press Enter.\n2. Click on the first search result, \"CRAVINGS BY ZOE Valentine's Day Chocolate Truffles | Assorted Chocolate Gift Box Red | Gourmet Chocolate | Delicious Milk Chocolate, Dark Chocolate and White Chocolate Flavors with 16 Assorted Toppings - 7.5 oz, 16 Count\".\n3. Click on the first variant, \"happy birthday truffle chocolate\". Then click \"Buy Now\" and get the code \"0FA416F314\". Remember this code.\n4. Go back and click on the second variant, \"holiday truffle chocolate\". Then click \"Buy Now\" and get the code \"68A92442CA\". Remember this code.\n5. Go back and click on the third variant, \"truffle collection chocolate\". Then click \"Buy Now\" and get the code \"5AB56CB7A1\". Remember this code.\n6. Send all the codes that you have remembered as a message to the user: \"0FA416F314, 68A92442CA, 5AB56CB7A1\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"0fa416f314"
],
[
"68a92442ca"
],
[
"5ab56cb7a1"
]
],
"ordered": false
},
"fuzzy_match": "0FA416F314, 68A92442CA, 5AB56CB7A1"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Three confirmation codes; all must be present. Unordered because the intent asks for 'the confirmation codes', not a sequence. Codes are alphanumeric literals, matched case-insensitively on word boundaries so a longer lookalike string cannot satisfy them.",
"source": "batch_10.json"
}
}
},
{
"task_id": 195,
"intent": "Order all the skirts available in the shop and share the confirmation codes. If there are multiple options, then always pick the small size.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"skirts\" in the search box and press Enter.\n2. Click on the first skirt product, \"Romwe Women's Ruffle Hem Beach Cover Up Chiffon Swimsuit Wrap Skirts\".\n3. Click on the size \"Small\".\n4. Click \"Buy Now\" and get the code \"73A46F8F3F\". Remember this code.\n5. Search for \"skirts\" again and click on the second skirt product, \"Merry Christmas Snowflake Pattern Women Chiffon Short Scarf Lightweight and Compact, Easy to Carry. Beach Sarong Cover Wrap Skirt Bikini Swimwear Cover Ups Black\".\n6. Click on the size \"Small\".\n7. Click \"Buy Now\" and get the code \"EFBFB6B826\". Remember this code.\n8. Send a message to the user with the confirmation codes that you have remembered: \"73A46F8F3F, EFBFB6B826\".",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"73A46F8F3F"
],
[
"EFBFB6B826"
]
],
"ordered": false
},
"fuzzy_match": "73A46F8F3F, EFBFB6B826"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Both confirmation codes must be reported. Codes are opaque tokens, so word-boundary containment is exact enough; ordered stays false because the intent does not prescribe an order. list_match has no 'forbidden' entries because the set of possible wrong/extra codes is not enumerable; requiring both correct codes is the discriminating check.",
"source": "batch_11.json"
}
}
},
{
"task_id": 196,
"intent": "What is the focal length range in millimeters of the stock lens on the Canon PowerShot S3 camera product picture?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Canon PowerShot S3\" in the search box and press Enter.\n2. Click on the product \"Canon PowerShot Pro Series S3 IS 6MP with 12x Image Stabilized Zoom (Discontinued by Manufacturer)\" from the search results.\n3. Check the product image. You will see \"6.0 - 72.0 mm\" written on the stock lens.\n4. Send a message to the user: \"6.0 - 72.0\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"values": [
6,
72
]
},
"fuzzy_match": "6.0 - 72.0"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A numeric range. Requiring both endpoints as numbers accepts '6.0 - 72.0', '6-72 mm' and '6.0 to 72.0 millimetres' alike (Decimal comparison makes 6.0 == 6). Extra numbers in the answer ('12x zoom', '6MP') are harmless because both endpoints are still required, and the 35mm-equivalent distractor range 36-432 is rejected.",
"source": "batch_09.json"
}
}
},
{
"task_id": 197,
"intent": "How many of the color options for the Nautica headphones have two distinct visible colors?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Nautica headphones\" in the search box and press Enter.\n2. Click on the product \"NAUTICA H120 Bluetooth Headphones, On-Ear Wireless Headphones with Built-in Microphone Bluetooth v5.0 Wireless and Wired Stereo Headset with Deep Bass, Foldable Over-Ear Headphones (White Nude)\" from the search results.\n3. In the color options, you will see that the last four are two-color combinations: \"navy red\", \"navy yellow\", \"white nude\", and \"white off white\".\n4. Send a message to the user: \"Four\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 4
},
"fuzzy_match": "Four"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count; gold 'Four' -> 4 exact, and number_match reads both 'four' and '4'. Model numbers in a restated product title (H120, v5.0) are not 4. Medium (not high) because the reasoning naturally references 'the last four color options' (navy red/navy yellow/white nude/white off white), so an agent that miscounts could still emit an incidental '4' (e.g. '3 of the last four options show two colors'); number_match cannot separate that residual case, but every off-count wrong answer that does NOT restate 'four' is correctly rejected.",
"source": "batch_06.json"
}
}
},
{
"task_id": 198,
"intent": "What's the color of the Rifle Scope Mount Camera Adapter in the product picture?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Rifle Scope Mount Camera Adapter\" in the search box and press Enter.\n2. Click on the product \"starboosa Rifle Scope Mount Camera Adapter - Smartphone Camera Adapter for Hunting Teaching\" from the search results.\n3. Look at the product picture to identify the color of the product, which is black. Send a message to the user: \"Black\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"black"
],
"scope": "first_sentence",
"fuzzy_match": "Black"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Single colour word. scope:first_sentence stops a wrong colour verdict from passing because a later sentence mentions something else that is black (the scope, the mount, the phone). Medium because 'black' remains a common incidental word.",
"source": "batch_07.json"
}
}
},
{
"task_id": 199,
"intent": "Place an order for the first pink socks that appear when you search for \"socks.\" Then share the confirmation code here. If you need to pick a size, please choose medium.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"socks\" in the search box and press Enter.\n2. The first pink socks that appear are \"Gloaiidjonh Women Cotton Crew Socks Cute Cartoon Anime Dinosaur Embroidery Mid Tube Hosiery\". Click on the product page.\n3. Select the first pair of pink socks visible.\n4. Select the color option \"pk\".\n5. Click \"Buy Now\".\n6. Check the confirmation code and send it as a message to the user: \"202AA9AA1D\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"202aa9aa1d"
],
"scope": "full",
"fuzzy_match": "202AA9AA1D"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "A single alphanumeric confirmation code. string_match rather than number_match because the value is not numeric; word-boundary containment means a longer code containing it as a prefix cannot match.",
"source": "batch_10.json"
}
}
},
{
"task_id": 200,
"intent": "What's written on the body of the 20x50 Binoculars? If there are multiple 20x50 Binoculars, pick the first one from the search results.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"20x50 Binoculars\" in the search box and press Enter.\n2. Click on the first search result, \"20x50 High Power Binoculars for Adults with Low Light Night Vision, Compact Waterproof Binoculars for Bird Watching Hunting Travel Football Games Stargazing with Carrying Case and Strap\".\n3. Inspect the product image to see the text written on the body. You should find the text written in white: \"UncleHu\". Send a message to the user: \"UncleHu\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"unclehu |OR| uncle hu"
],
"scope": "full",
"fuzzy_match": "UncleHu"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single brand token read off the product image. The |OR| covers the spaced spelling, since word-boundary containment treats 'unclehu' and 'uncle hu' as different strings. Answers that only report the model text '20x50' (which is quoted in the intent) or the truncated 'Uncle' are rejected.",
"source": "batch_08.json"
}
}
},
{
"task_id": 201,
"intent": "Place an order for a Spider-Man superhero T-shirt with a white spider. The size should be Large. Once you complete the order, share the completion code.",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Spider-Man superhero T-shirt white spider\" in the search box and press Enter.\n2. Click on the product page \"Long Sleeve Superhero T Shirt Tank Top Mens Compression Shirt Men Workout Fitness Gym Shirt\".\n3. Click on \"brown\". You will see that the product image has a white spider. Select the correct shirt and choose size \"Large\".\n4. Click \"Buy Now\" to place the order.\n5. Check the confirmation code and send it as a message to the user: \"7778F2A319\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"7778F2A319"
],
"scope": "full",
"fuzzy_match": "7778F2A319"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Single opaque completion code; literal containment with word boundaries so a longer lookalike token cannot match. No distractor code appears in the intent. string_match rather than number_match because the code is alphanumeric and would be split into several numbers by the parser.",
"source": "batch_11.json"
}
}
},
{
"task_id": 202,
"intent": "Could you please order the most expensive cracker available in the Shop and send me the confirmation code?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"cracker\" in the search box and press Enter.\n2. You will find five search results. The first search result, \"Crunchmaster Gourmet Toasted Sesame Rice Cracker, 3.5-Ounce (Pack of 12)\", will be the most expensive one and is a valid cracker product. Click on the product page.\n3. Click \"Buy Now\" and retrieve the confirmation code.\n4. Send the confirmation code as a message to the user: \"79E27147B0\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"79e27147b0"
],
"scope": "full",
"fuzzy_match": "79E27147B0"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Confirmation code: an opaque literal, matched case-insensitively on word boundaries, so an off-by-one-character code cannot pass. string_match rather than number_match because the code is alphanumeric.",
"source": "batch_12.json"
}
}
},
{
"task_id": 203,
"intent": "Which of the following items are available in the shop: Crayon, Candle, Face Lotion, and Electric Chair?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Search for \"Crayon\" and check the search results. None of the results should be valid crayon products. Remember this fact.\n2. Search for \"Candle\" and check the search results. You should find at least one valid candle product. Remember this fact.\n3. Search for \"Face Lotion\" and check the search results. You should find at least one valid face lotion product. Remember this fact.\n4. Search for \"Electric Chair\" and check the search results. None of the results should be valid electric chair products. Remember this fact.\n5. Based on the search results that you remembered, send a message to the user: \"Candle, Face Lotion\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"candle",
"face lotion"
],
"must_exclude": [
"^.*\\b(?:crayons?|electric chairs?)\\b[,\\s]*(?:and\\s+|&\\s*|or\\s+)?(?:candles?|face lotions?)\\b.*$",
"^.*\\b(?:candles?|face lotions?)\\b[,\\s]*(?:and\\s+|&\\s*|or\\s+)?(?:crayons?|electric chairs?)\\b.*$",
"^.*\\b(?:crayons?|electric chairs?)\\b\\s+(?:is|are|was|were)\\s+(?:also\\s+|too\\s+|indeed\\s+)?(?:available|in stock|present)\\b.*$"
],
"scope": "full",
"fuzzy_match": "Candle, Face Lotion"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1 + trap 2: all four candidate items are named in the intent, so a wrong 'all four are available' answer contains the gold tokens, yet a correct answer legitimately names Crayon and Electric Chair in a negative clause. Plain must_exclude would reject the common correct phrasing '...Candle and Face Lotion are available, while Crayon and Electric Chair are not'. The first two exclusions fire only when a wrong item sits in the same comma/'and' list slot as a right one (how an over-inclusive list reads). The third exclusion catches a wrong item asserted available in its own clause ('Crayon is available, and Candle and Face Lotion too') -- it fires on '<wrong item> is/are (also/too/indeed)? available/in stock/present', which never appears in a correct answer (correct answers say 'are not', 'are unavailable', or 'returned no products', none of which match). Residual leniency: an elliptical 'Crayon is too' with no availability word would still slip.",
"source": "batch_12.json"
}
}
},
{
"task_id": 204,
"intent": "How many times does the word \"Cotton\" appear on the product page (including Description, Features, Reviews) for \"Custom Polo Shirts for Men\"?",
"sites": [
"webshop"
],
"start_url": "__WEBSHOP__",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Custom Polo Shirts for Men\" in the search box and press Enter.\n2. Click on the first search result, \"Custom Polo Shirts for Men Design Your Own Personalized Logo Text Photo Polo Shirt Customize Classic Polo Shirt\".\n3. In the product description, count the occurrences of the word \"Cotton\" in the text. You should find three such occurrences. Remember this count.\n4. In the features section, count the occurrences of the word \"Cotton\" in the text. You should find a single occurrence. Remember this count.\n5. Add the counts together, which should be four, and send a message to the user: \"Four times\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 4
},
"fuzzy_match": "Four times"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Count question, gold spelled out ('Four times'); number_match reads both 'four' and '4'. Scope is left 'full' because a correct answer often opens with a sentence about the sections before giving the total. Medium confidence: an answer that states a wrong total but happens to mention 4 as a per-section sub-count would be accepted. Requiring the literal word 'times' was rejected as over-fitting (an agent may answer '4').",
"source": "batch_09.json"
}
}
},
{
"task_id": 205,
"intent": "Visit the Wiki article on the first country mentioned in the latest News article about TikTok. Based on that Wiki article, tell me the population of that country.",
"sites": [
"wiki",
"news"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"TikTok\" and open the latest (most recent) article in the results.\n2. Identify the first country mentioned in that news article. Remember the country name.\n3. Switch to Wiki and search for that country name. Open the country’s article.\n4. From the Wiki article, extract the population stated for that country.\n5. Send the population figure to the user.",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 340100000,
"rel_tolerance": 0.005
},
"fuzzy_match": "340.1 million"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Population figure. number_match normalizes '340.1 million' and '340,100,000' to the same value. The small relative tolerance (0.5%, about +/-1.7 million) exists only because the gold is itself a rounded figure and the article may also be quoted precisely (e.g. 340,110,988); it is far too tight to admit another country or another census year (331.9 million is rejected). Medium confidence because the tolerance had to be reasoned about.",
"source": "batch_09.json"
}
}
},
{
"task_id": 206,
"intent": "I need you to run a quick check. Go to the “Quantum mechanics” article on Wiki and find the first article listed in the “Related pages” section. Search for the second word of that article’s title on News, visit the second search result, and tell me whether that news article contains the word “ship”.",
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On Wiki, open the \"Quantum mechanics\" article.\n2. Locate the \"Related pages\" section and click the first article listed. Note its title.\n3. Take the second word of that title and search it on News.\n4. Open the second search result on News.\n5. Check whether the article contains the word \"ship\" (case-insensitive). Report \"yes\" if it does, otherwise \"no\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold, standard recipe. The instructions literally tell the agent to report 'yes' or 'no', so the verdict token is reliably present. first_sentence protects the must_exclude from a trailing justification, and word boundaries keep 'no' from firing inside 'not' or 'nothing'. The word 'ship' in the intent is not a discriminator and is left unconstrained.",
"source": "batch_04.json"
}
}
},
{
"task_id": 207,
"intent": "First, verify whether “Brisling Sardines in BBQ Sauce” is kosher. If it is, look up “sardine” on Wikipedia and find the word from which its name is derived. If it is not, search for “Fish” on News and tell me the 20th search result.",
"sites": [
"wiki",
"webshop",
"news"
],
"start_url": "__WEBSHOP__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On the Shop, search for \"Brisling Sardines in BBQ Sauce\" and open the product page.\n2. Determine if the product is marked kosher in the description, features, or labeling. Remember whether it is kosher.\n3. If it IS kosher: switch to Wiki, search for \"sardine\", open the article, and find the word from which the name \"sardine\" is derived. Report that word to the user.\n4. If it is NOT kosher: go to News, search for \"Fish\", navigate to the 20th search result, and report the title of that article.\n5. Send only the required answer per the above branching.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"sardinia |OR| sardinian"
],
"must_exclude": [
"^[\\s\\S]*\\bnot\\b[\\s\\S]{0,25}sardinia[\\s\\S]*$"
],
"scope": "first_sentence",
"fuzzy_match": "The fishes are named after the Island of Sardinia."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The kosher branch is the correct one, so the answer must name Sardinia. 'Sardinia' appears nowhere in the intent (only 'sardine'/'Sardines'), and word-boundary matching keeps 'sardina'/'sardinos' from matching. scope first_sentence plus the exclusion of a negated 'not ... Sardinia' block an answer that gives a different etymology and mentions Sardinia only to rule it out.",
"source": "batch_14.json"
}
}
},
{
"task_id": 208,
"intent": "Visit the first article of the News search for the toy maker Mattel. Find the name of the first toy product mentioned in that article. Is that product available in the Shop? If so, how many such products are available?",
"sites": [
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"Mattel\" and open the first article in the results.\n2. Read the article and identify the first toy product mentioned by name. Remember that product name.\n3. Go to the Shop and search for that product name.\n4. Count how many valid product listings match that toy. If none, the count is zero.\n5. Report availability as yes/no and the count if available.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No, the product is not available in the Shop."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no rule for a 'No' gold. The intent explicitly asks for a yes/no verdict plus a count, so the verdict word is reliable. first_sentence scope plus must_exclude 'yes' rejects the hardest near-miss ('Yes, it is available, but there is no exact match').",
"source": "batch_01.json"
}
}
},
{
"task_id": 209,
"intent": "Please find the fifth unique country mentioned on the “Anime” Wiki page, then search for that country’s name on News, and report the title of the thirteenth article in the search results.",
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On Wiki, open the \"Anime\" article.\n2. Scan the article text to identify countries mentioned; track unique country names in order of first appearance.\n3. Identify the fifth unique country mentioned. Remember its name.\n4. Go to News and search for that country name.\n5. Navigate to the 13th article in the search results and read its title.\n6. Report that title to the user.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"france recalls |OR| recalls |OR| recalled",
"betancourt"
],
"scope": "full",
"fuzzy_match": "France recalls Íngrid Betancourt mission"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Article title 'France recalls Íngrid Betancourt mission'. Unicode folding turns 'Íngrid' into 'Ingrid', so the accent is irrelevant. Two anchors are required because 'France' alone is just the country from step 3 and would be trivially present in a wrong answer, while 'Betancourt' alone could name a different Betancourt article ('Íngrid Betancourt freed after six years').",
"source": "batch_05.json"
}
}
},
{
"task_id": 210,
"intent": "Does the Canon EOS Rebel T7i found in the Shop have a Wiki page? If yes, tell me the title of that Wiki page. Otherwise, find the most relevant page and tell me its title. If you find none of the pages to be relevant, just say \"Article not found\".",
"sites": [
"wiki",
"webshop",
"news"
],
"start_url": "__WEBSHOP__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On the Shop, search for \"Canon EOS Rebel T7i\" and open the product page (or the closest match).\n2. From that product, derive the exact model name.\n3. On Wiki, search for that model name. If a dedicated page exists, report its title.\n4. If no dedicated page exists, choose the most relevant related Wiki page (e.g., a series page) and report its title.\n5. If no relevant Wiki page is found, reply \"Article not found\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^.*(?<![a-z0-9])canon[-\\s]+eos(?![a-z0-9])(?!\\s*(?:rebel|t7i)).*$"
],
"must_exclude": [
"article not found"
],
"scope": "full",
"fuzzy_match": "Canon EOS"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1: the gold 'Canon EOS' is a prefix of 'Canon EOS Rebel T7i', which is named in the intent, so a plain must_include would accept 'there is no page for the Canon EOS Rebel T7i — Article not found'. The regex requires an occurrence of 'canon eos' that is NOT followed by 'rebel'/'t7i', i.e. the bare series title, while still allowing a correct answer to mention the T7i. must_exclude kills the explicit 'Article not found' escape phrase.",
"source": "batch_06.json"
}
}
},
{
"task_id": 211,
"intent": "Search for \"Apple\" on News. Is the first search result negative news about the tech company Apple? If yes, say \"Found negative news\". If not, order an “iPad Case Fit for iPad 9.7” and send me the confirmation code.",
"sites": [
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"Apple\".\n2. Open the first search result and determine whether it is negative news about the tech company Apple. Negative means conveying bad outcomes, issues, or criticism about Apple.\n3. If it IS negative: reply \"Found negative news\".\n4. If it is NOT negative: go to the Shop and search for \"iPad Case Fit for iPad 9.7\". Select the product, choose any default options, click \"Buy Now\", and return the confirmation code.\n5. Send only the required final message based on the branch.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"found negative news"
],
"must_exclude": [
"^.*(?<![a-z0-9])(?=[a-z0-9]{5,8}(?![a-z0-9]))(?=[a-z0-9]*[a-z])(?=[a-z0-9]*[0-9])[a-z0-9]+.*$"
],
"scope": "full",
"fuzzy_match": "Found negative news."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 6: the gold is a fixed phrase the instructions tell the agent to emit verbatim, so must_include on the phrase (not exact_match, which a decorated answer would fail). Requiring the three words in order separates it from the other branch's near-misses ('No negative news was found', 'did not find negative news'). Added a must_exclude that fires on a confirmation-code token -- a 5-8 character alphanumeric run containing BOTH a letter and a digit (e.g. 8KD2QX). Only the order branch returns such a code, so this blocks the leak where a wrong-branch answer quotes the phrase while reporting its order ('...did not reply Found negative news, so I ordered; confirmation code 8KD2QX'). The regex is deliberately narrow: pure-letter tokens like 'iphone' and pure-digit tokens like '2024' do not match, and a correct answer that merely explains it generated no confirmation code (no actual code value) still passes. Medium because the code heuristic is the load-bearing exclusion.",
"source": "batch_04.json"
}
}
},
{
"task_id": 212,
"intent": "Does the \"Once Upon A Time Queen Born In 1982 T-Shirts\" product from the Shop contain polyester? If so, go to the Polyester article on Wiki and tell me the names of the clothing brands mentioned there. Otherwise, just tell me, \"T-shirt is polyester-free!!!\"",
"sites": [
"wiki",
"webshop"
],
"start_url": "__WEBSHOP__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Once Upon A Time Queen Born In 1982 T-Shirts\" in the Shop search box and press Enter.\n2. Click on the first search result.\n3. Check the material composition by reading the product description and other tabs.\n4. Verify whether polyester is listed by checking all the tabs on the product page. You will find polyester mentioned on the Attributes tab.\n5. Go to Wikipedia, type \"Polyester\" in the search box, and press Enter.\n6. You will find no clothing brands mentioned in the Wikipedia article. Send a message to the user: \"No clothing brands have been mentioned in the Polyester article.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^.*(?:\\bno\\b(?!\\s+(?:doubt|question|surprise)\\b)(?:\\s+\\w+){0,4}\\s+brands?\\b|\\b(?:not|never)\\b(?:\\s+\\w+){0,2}\\s+(?:mention|list|name|include|reference|cite|contain|feature|have|has|had|find|found|see|show|shown|display|discuss|specif)\\w*(?:\\s+\\w+){0,3}\\s+brands?\\b|\\bwithout\\b(?:\\s+\\w+){0,3}\\s+brands?\\b|\\bbrands?\\b(?:\\s+\\w+){0,3}[\\s:,-]+(?:none|nil|absent)\\b).*$"
],
"scope": "full",
"fuzzy_match": "No clothing brands are mentioned in the Polyester article."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a full sentence asserting an absence, so exact_match is unusable and a literal must_include over-fits the phrasing. A naive 'negation anywhere before brands' regex false-accepts a hedged wrong answer that lists brands ('Not entirely sure, but the clothing brands mentioned include Nike, Adidas'), because the hedge 'not' precedes the brand mention. The regex is instead structured so the negation must attach to the brand claim: (a) 'no [<=4 words] brand(s)' -- 'no clothing brands', 'no mention of any clothing brands' -- with a lookahead that blocks the hedges 'no doubt/question/surprise ... brands'; (b) 'not/never [<=2 words] <absence verb: mention|list|find|...> [<=3 words] brand(s)' so the negated verb must come *before* brands, which a brand-listing answer ('brands mentioned include Nike') fails because its verb follows brands; (c) 'without ... brands'; (d) post-nominal 'brands ... none/nil/absent'. The 'polyester-free' wrong branch has no 'brand' token at all.",
"source": "batch_12.json"
}
}
},
{
"task_id": 213,
"intent": "Could you check whether the \"Tattoo\" article on Wiki talks about mummification? If so, tell me how many tattoo machines are available in the Shop. Only consider electronic tattoo machines, not manual ones.",
"sites": [
"wiki",
"webshop"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Tattoo\" in the Wiki search box and press Enter.\n2. Read the article to see whether the concept of mummification has been discussed. You will find it mentioned in the History section.\n3. Switch to the Shop search.\n4. Type \"tattoo machine\" in the search box and press Enter.\n5. Count the number of electronic tattoo machines available (excluding manuals) in the search results by visiting the first two pages. Don't go beyond that, as most of the results will not be relevant. You will find two such machines. Send a message to the user: \"Two\".",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 2
},
"fuzzy_match": "Two"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is the spelled-out count 'Two'; number_match reads both 'two' and '2'. Exact comparison. Scope must stay 'full': the answer's first sentence is usually the mummification yes/no, with the count only in the second sentence. Medium confidence because the value 2 is low-discriminative -- an answer that reports a different count but mentions 'the first two pages of results' (the wording of the additional_instructions) would be accepted, and unrelated golds containing a 2 will show up as crosstalk.",
"source": "batch_13.json"
}
}
},
{
"task_id": 214,
"intent": "Search for \"Iran\" on News and visit the first search result. Was that news incident reported in Iran’s Wiki article?",
"sites": [
"wiki",
"news"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"Iran\" and open the first article.\n2. Identify the incident/event described in that article.\n3. Go to Wiki and open the \"Iran\" article.\n4. Check whether that specific incident/event is reported in the Iran article.\n5. Answer \"Yes\" if it is reported; otherwise, answer \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no |OR| not reported |OR| not mentioned |OR| no mention |OR| does not |OR| doesn't |OR| is not |OR| was not |OR| isn't |OR| wasn't"
],
"must_exclude": [
"yes"
],
"scope": "first_sentence",
"fuzzy_match": "No"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Yes/no gold ('No'). Scoped to the first sentence so the justification tail ('the Iran article covers ... but not this incident') cannot flip the verdict. The alternatives are negated verb phrases rather than a bare 'not', so a wrong answer such as 'The incident is reported in the Iran article, but not in detail' is still rejected (no leading negation of the verdict). must_exclude ['yes'] is low-risk here because 'yes' rarely appears in a genuine negative answer.",
"source": "batch_05.json"
}
}
},
{
"task_id": 215,
"intent": "Search for \"Driving Accident\" on News. Visit the first News article and identify the U.S. state where that accident occurred. Then search for that state on Wiki and tell me its population.",
"sites": [
"wiki",
"news"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"Driving Accident\" and open the first article.\n2. Identify the U.S. state where the accident occurred. Remember the state name.\n3. Go to Wiki and search for that state. Open the state article.\n4. Find and report the population of that state from the Wiki article.",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 29000000,
"rel_tolerance": 0.02
},
"fuzzy_match": "Over 29 million."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold 'Over 29 million.' is a hedged population figure, so a small relative tolerance is required: it must accept whichever 29.x figure the article snapshot carries (29,145,505 census, or a 29.5M estimate) while rejecting the off-by-one-million near-misses 28 and 30 million. 2% gives a window of 28.42M-29.58M, which does exactly that. No string anchor on the state name is possible because the gold itself does not name it.",
"source": "batch_10.json"
}
}
},
{
"task_id": 216,
"intent": "Visit the Wiki article on \"Espadrille\" and find the first country mentioned in that article. Which of the following sites: Wiki, News, or Shop, have an article about that country or a product from that country?",
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On Wiki, open the \"Espadrille\" article.\n2. Identify the first country mentioned in the text. Remember the country name.\n3. Check Wiki to confirm that a page exists for that country (it should).\n4. On News, search for that country and verify that at least one news article appears.\n5. On the Shop, search for that country name and see if any product explicitly references or is from that country.\n6. Report which of the three sites (Wiki, News, Shop) have an article about that country or a product from that country. List only the sites that qualify.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"wiki |OR| wikipedia",
"news"
],
"must_exclude": [
"^(?!.*(?:\\bnot\\b|\\bno\\b|\\bonly\\b|\\bexcept\\b|\\bwithout\\b|\\bnone\\b|\\bneither\\b|\\bnor\\b|\\bnothing\\b|doesn't|don't|isn't|aren't)).*\\bshop\\b.*$",
"^.*\\bnews\\b(?:\\s+(?:site|sites))?(?:\\s+and\\s+(?:the\\s+)?shop)?\\s+(?:do(?:es)?\\s+not|don't|doesn't|has\\s+no\\b|have\\s+no\\b|has\\s+nothing|have\\s+nothing|is\\s+not|are\\s+not|lacks?\\b).*$"
],
"scope": "full",
"fuzzy_match": "Wiki, News"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Trap 1 in its purest form: all three options (Wiki, News, Shop) are named in the intent, so both a plain must_include and a plain must_exclude['shop'] are compromised -- the correct answer very often says 'Wiki and News, but not Shop'. First exclusion is a negation-aware regex: it fires only when 'shop' appears and the answer contains no negation token anywhere, which kills 'Wiki, News, and Shop' / 'all three sites ... Wiki, News and Shop' while leaving every 'but not Shop' / 'the Shop does not' phrasing intact. Second exclusion catches the mirror-image wrong answer that names News only to deny it ('Only Wiki; News and Shop have nothing'), which the first exclusion would let through because it contains a negation. Medium confidence: a wrong 'all three' answer that happens to contain an unrelated 'not' would still be accepted.",
"source": "batch_13.json"
}
}
},
{
"task_id": 217,
"intent": "Order the most expensive bed and send me the confirmation code.",
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"bed\" in the Shop search box and press Enter.\n2. Go over all the products on page 1. You will find that the product \"iDealBed Luxe Series iQ5 Hybrid Luxury Plush Mattress 4i Custom Adjustable Bed Set, Wireless, Massage, Nightlight, Zero-Gravity, Anti-Snore, Memory Pre-Sets (Queen)\" has the highest price. Remember this fact. Warning: You might encounter something like a bed kit. This is not a bed, but this is a bed kit and shouldn't be considered.\n3. Visit pages 2, 3, and 4 of the search results to verify that no bed product exists with a higher price. Don't visit more pages, as you won't find better results.\n4. Since you cannot find any other product with a higher price, search \"iDealBed Luxe Series iQ5 Hybrid Luxury Plush Mattress 4i Custom Adjustable Bed Set, Wireless, Massage, Nightlight, Zero-Gravity, Anti-Snore, Memory Pre-Sets (Queen)\" and click on the product page.\n5. Click \"Buy Now\" and retrieve the confirmation code. Send it as a message to the user: \"61A1FDDAD1\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"61a1fddad1"
],
"scope": "full",
"fuzzy_match": "61A1FDDAD1"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Opaque alphanumeric confirmation code; word-boundary containment makes truncated or altered codes fail.",
"source": "batch_06.json"
}
}
},
{
"task_id": 218,
"intent": "Search \"dog\" on News. If the first search result says something positive about dogs, then place an order for a dog toy in the Shop and share the confirmation code. Otherwise, tell me the title of the news article.",
"sites": [
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"dog\" in the News search box and press Enter.\n2. Click on the first article in the search results.\n3. As it is a negative article on dogs, send the title of the news article message to the user: \"Dog owner to face felony charge\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"dog owner",
"felony"
],
"scope": "full",
"fuzzy_match": "Dog owner to face felony charge"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The answer must be the news headline. Two distinctive tokens of the title are required rather than the whole string, so a minor requoting ('felony charges') still passes; 'felony' is what separates this headline from any other dog article, and 'dog owner' from an unrelated felony story. The alternative branch (ordering a toy and returning a confirmation code) contains neither token.",
"source": "batch_12.json"
}
}
},
{
"task_id": 219,
"intent": "Who are the first three female referees to be appointed to the men's 2022 FIFA World Cup?",
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On Wiki, search for information about female referees appointed to the men's 2022 FIFA World Cup.\n2. Identify the first three female referees appointed.\n3. Report their names in order.",
"eval": {
"eval_types": [
"list_match"
],
"reference_answers": {
"list_match": {
"items": [
[
"frappart"
],
[
"mukansanga"
],
[
"yamashita"
]
],
"ordered": false,
"forbidden": []
},
"fuzzy_match": "Stéphanie Frappart,Salima Mukansanga,Yoshimi Yamashita"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Three names; surnames are unique and accent-folding handles 'Stéphanie'. ordered:false because the three were appointed in the same announcement -- 'in order' in the instructions is not a real ranking, so a differently ordered but complete list is correct.",
"source": "batch_14.json"
}
}
},
{
"task_id": 220,
"intent": "Verify whether Sony's net profit fell significantly in 2024 or 2025. If so, visit the Sony's Wiki article and identify the first product mentioned on that page. Can you find that exact product in the Shop? If so, place the order and share the confirmation code with me. If any of the above conditions cannot be satisfied, state that explicitly.",
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Go to News and search \"Sony's net profit fell significantly\".\n2. You will find an article \"Sony net profit falls by 95%\". Click on the article and you will see that the publication date is from 2024. Hence it is a valid article. Remember this fact.\n3. Go to Wiki search and type \"Sony\".\n4. Identify the first product mentioned on the page, which is \"PlayStation\".\n5. Go to Shop.\n6. Search \"PlayStation\" and press Enter.\n7. You will not find any PlayStation console in the shop. Send the confirmation code as a message to the user: \"The product is not available in the shop.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"^.*\\b(?:not available|unavailable|not in the shop|not sold|not listed|not carried|no playstation|no such product|no results|not find|not found|does not sell|doesn't sell|does not carry|doesn't carry|does not have|doesn't have|does not stock|doesn't stock)\\b.*$",
"playstation |OR| product |OR| shop |OR| store |OR| console"
],
"scope": "full",
"fuzzy_match": "The product is not available in the shop."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Multi-site conditional task whose gold is the explicit 'condition not satisfiable' statement. The first must_include entry is a regex over the unavailability phrasings an agent uses ('not available', 'could not find', 'the shop does not sell it', 'no PlayStation'). The second entry (playstation|product|shop|store|console) ties that unavailability claim to the product/shop, so an abandonment for the WRONG reason that happens to use an unavailability word - e.g. 'I could not find the article about Sony's profit' - no longer false-accepts. Wrong answers with a fabricated confirmation code contain no unavailability word. Medium because the spec verifies the unavailable-in-shop verdict, not the full chain of reasoning (profit fell, PlayStation is the first product).",
"source": "batch_15.json"
}
}
},
{
"task_id": 221,
"intent": "I love the Matrix movie series. Please find related Wiki articles, news, and products from the Shop. If there are multiple entries on each site, pick the one you think is the most relevant. If you cannot find any product or article, mention that in your answer. Share the titles of these items in the following format: <site name>: <article/news/product title>.",
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Go to Wiki, type \"The Matrix\", and press Enter.\n2. You will find a Wiki article on the Matrix movie series. Remember this fact.\n3. Go to News, type \"The Matrix\", and press Enter.\n4. You will find no news article on the Matrix movie series. Only look at the first page, don't go to more pages. Remember this fact.\n5. Go to Shop, type \"The Matrix\", and press Enter.\n6. You will find no shop products in the Matrix movie series. Only look at the first page, don't go to more pages. Remember this fact.\n7. Based on the facts that you have remembered, send a message to the user:\n\"Wiki: The Matrix\nNews: No relevant news found.\nShop: No relevant product found.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"the matrix",
"no relevant news |OR| no news |OR| no relevant article |OR| no article |OR| none found",
"no relevant product |OR| no product |OR| no matching product |OR| no products"
],
"scope": "full",
"fuzzy_match": "Wiki: The Matrix\nNews: No relevant news found.\nShop: No relevant product found."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Structured multi-part answer: Wiki has 'The Matrix', News and Shop have nothing. Requires the Matrix title plus a site-specific not-found indicator for each of the other two sites. Tightened: the earlier spec shared the generic alternatives 'none'/'not found'/'no result'/'no relevant' between the news and product requirements, so a single incidental 'none' (e.g. 'none of the shop items matched, but The Matrix Blu-ray is closest') satisfied both while the answer actually surfaced a real news item and product — a verified false accept. News-absence and product-absence now use disjoint, site-qualified phrases. Medium: phrasing of the not-found parts still varies; the additional_instructions steer the agent to the canonical 'No relevant news/product found.' wording this targets.",
"source": "batch_16.json"
}
}
},
{
"task_id": 222,
"intent": "Visit the Wiki article on Gabon and search for the last word of the first section in the Shop (introduction counts as a section). If there are search results, click on the first one and tell me the title of the product. Otherwise, tell me \"No product found\".",
"sites": [
"wiki",
"webshop"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On Wiki, open the \"Gabon\" article.\n2. Consider the introduction as the first section. Identify the very last word of that section’s text.\n3. Go to the Shop and search for that last word.\n4. If there is at least one valid product result, open the first product and report its title exactly.\n5. If there are no valid product search results, respond with \"No product found\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"legendary whitetails",
"non-typical",
"long sleeve"
],
"scope": "full",
"fuzzy_match": "Legendary Whitetails Men's Non-Typical Long Sleeve T-Shirt"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Gold is a long product title; requiring it verbatim would reject a correct answer that drops \"Men's\" or the \"T-Shirt\" wording, so the spec pins the three load-bearing tokens. 'legendary whitetails' is a unique brand token that appears nowhere in the intent. Both 'non-typical' AND 'long sleeve' are required (not an OR): Legendary Whitetails ships several 'Non-Typical' line items and several 'Long Sleeve' items, so an OR would false-accept a *different* Legendary Whitetails product (e.g. a 'Non-Typical Hoodie' or a 'Camo Long Sleeve Tee') -- verified against the oracle. Requiring both still accepts every correct rendering of the real title. 'non-typical' also matches 'non typical' because the containment pattern treats hyphens and spaces alike.",
"source": "batch_13.json"
}
}
},
{
"task_id": 223,
"intent": "How many patients participated in the pollen tablet trial for hay fever?",
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"pollen tablet trial hay fever\" or similar terms.\n2. Open the article describing a clinical trial of a pollen tablet for hay fever.\n3. Identify the number of patients who participated in that trial.\n4. If needed, cross-check with a related Wiki article about the same trial or treatment, but use the news article as the primary source.\n5. Report the total number of patients as a number.",
"eval": {
"eval_types": [
"number_match"
],
"reference_answers": {
"number_match": {
"value": 634
},
"fuzzy_match": "634"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Exact participant count from the news article; number_match with no tolerance handles '634', '634 patients' and thousands separators. Off-by-one and transposed digits are rejected. No tolerance because the gold is a precise, unhedged count.",
"source": "batch_11.json"
}
}
},
{
"task_id": 224,
"intent": "Visit the Wiki article on \"Brazil\" and find the most recent sporting event mentioned in the Sports section. Search for that event (don't include the year in the search) on News, and tell me the name of the third news article in the search results.",
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Search \"Brazil\" on Wiki and press Enter.\n2. Go to the Sports section and find the latest sports event, which is the \"Summer Olympics\". Remember this event.\n3. Go to News and search \"Summer Olympics\".\n4. Report the title of the third news article from the search results as a message to the user: \"Three cities submit bids for 2020 Summer Olympics\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"three cities",
"bids |OR| bid |OR| bidding",
"2020",
"summer olympics"
],
"scope": "full",
"fuzzy_match": "Three cities submit bids for 2020 Summer Olympics"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Article title. Split into the four load-bearing tokens rather than one long verbatim phrase so that title-case, punctuation or a slightly reworded quote still passes, while any other Summer Olympics article (which will not say 'three cities') fails. 'three cities' is the real discriminator; 'bids |OR| bid |OR| bidding' also accepts a paraphrase ('three cities bidding for ...') that the bare 'bids/bid' pair used to false-reject.",
"source": "batch_06.json"
}
}
},
{
"task_id": 225,
"intent": "Search \"Cranberry\" on News and visit the first news article in the search results. Then search, on Wiki, for the name of the first country mentioned in that article’s content. Tell me the first line of the final visited article.",
"sites": [
"wiki",
"news"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Cranberry\" in the News search box and press Enter.\n2. Open the first article and read the text to identify the first country mentioned, England. Remember the name of the country.\n3. Go to Wiki.\n4. Type the name of that country (\"England\") in the Wiki search box and press Enter.\n5. Read the first line of the article's main content and send it as a message to the user: \"England is a country on the island of Great Britain.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"england is a country |OR| england as a country |OR| england, a country",
"great britain"
],
"scope": "full",
"fuzzy_match": "England is a country on the island of Great Britain."
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "The gold is a sentence, so two anchors are required: the subject clause (with the two paraphrases an agent may use when it reports rather than quotes the line) and the distinctive 'Great Britain'. Requiring both rejects the first line of the wrong article (Great Britain, Cranberry) and a differently worded England lead. scope:full because the quoted line is often introduced by a preamble sentence.",
"source": "batch_07.json"
}
}
},
{
"task_id": 226,
"intent": "Search \"Ruffles Ridged Potato Chips\" on Shop and find the country of origin. Search for the name of that country on News and visit the second news article in the search results. What is the last word in the visited article?",
"sites": [
"news",
"webshop"
],
"start_url": "__WEBSHOP__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Type \"Ruffles Ridged Potato Chips\" in the Shop search box and press Enter.\n2. Open the product page and each tab individually. Click on the features tab, identify the country of origin listed, which is the United States. Remember this fact.\n3. Go to the News website.\n4. Type the name of that country, \"United States\", in the News search box and press Enter.\n5. Navigate to and open the second news article.\n6. Identify the very last word of the article and send it as a message to the user: \"Outrage\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"outrage"
],
"scope": "full",
"fuzzy_match": "Outrage"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Single-word answer ('Outrage', the last word of the article). Word-boundary matching means 'outrage' does not fire on 'outrageous' or 'outraged', which is the near-miss to guard for a 'last word' task. scope stays 'full' (NOT first_sentence): the two-part task means a correct answer legitimately lands in a later sentence, e.g. 'The country of origin is the United States. The last word is Outrage.' Medium confidence: the gold word is also the article's likely topic, so a wrong last-word answer that discusses the same story ('the last word is protests, reflecting the public outrage') could mention 'outrage' incidentally and be falsely accepted -- there is no deterministic anchor that separates 'outrage as the last word' from 'outrage as the subject'.",
"source": "batch_05.json"
}
}
},
{
"task_id": 227,
"intent": "Search \"chips\" on News. If the first article is about snack chips, then go to Shop, search \"chips\", and place an order for the first chips product you find in the search results. Otherwise, let me know that the first article is not about snack chips.",
"sites": [
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"chips\" and open the first article in the results.\n2. Determine whether the article is about snack chips (potato chips, corn chips, etc.), not electronic chips or other meanings.\n3. If the article IS about snack chips:\n a. Go to the Shop and search for \"chips\".\n b. Open the first valid snack chips product in the results.\n c. Click \"Buy Now\" and collect the confirmation code.\n d. Return only the confirmation code.\n4. If the article is NOT about snack chips: respond with a statement indicating that the first article is not about snack chips.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"snack |OR| snacks",
"^.*\\b(?:not|rather than|instead of|nothing to do with|unrelated to)\\b[^.]{0,40}\\bsnacks?\\b.*$"
],
"must_exclude": [
"^.*(?<![a-z0-9])(?=[a-z]*[0-9])(?=[0-9]*[a-z])[a-z0-9]{10}(?![a-z0-9]).*$"
],
"scope": "full",
"fuzzy_match": "First article is not about the snacks, chips."
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Conditional task whose gold takes the negative branch: the answer must deny that the first article is about snack chips. The regex requires a negation word within 40 characters (and inside the same sentence) of 'snack', which distinguishes 'not about snack chips' from 'about snack chips, not microchips'. The must_exclude regex matches a 10-character mixed letter/digit token, i.e. a webshop confirmation code — a correct answer places no order and so can never contain one, while the wrong branch always reports one. Medium confidence because the negation is matched by pattern rather than by a fixed token.",
"source": "batch_09.json"
}
}
},
{
"task_id": 228,
"intent": "Find the fastest-growing city in Utah, based on its Wiki article. Then search that city's name on News and tell me the publication date of the second search result.",
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On Wiki, open the \"Utah\" article.\n2. In the article text, identify which city is explicitly described as the fastest-growing city in Utah. Remember that city’s name.\n3. On News, search for that city name.\n4. Open the second article in the search results.\n5. Find the article's publication date as displayed on the news page.\n6. Report that date to the user.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"december 18 |OR| december 18th |OR| 18 december |OR| 18th december |OR| 18th of december |OR| dec 18 |OR| dec. 18 |OR| 18 dec |OR| 2024 12 18 |OR| 12 18 2024 |OR| 12/18/2024 |OR| 18/12/2024",
"2024"
],
"scope": "full",
"fuzzy_match": "December 18, 2024"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "Publication date. Two requirements: the day+month in any common ordering/format (the hyphenated ISO form matches because hyphen runs are equivalent to spaces in containment matching) and the year. Requiring the year separately catches the off-by-year near-miss; the only correct answer it would reject is one that omits the year entirely, hence medium rather than high.",
"source": "batch_01.json"
}
}
},
{
"task_id": 229,
"intent": "Place an order for an Oval Mosaic Wall Mirror if you can find a news article on Johan Cruyff. If you place the order, share the confirmation code with me. Otherwise, let me know that you didn’t place the order.",
"sites": [
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On News, search for \"Johan Cruyff\".\n2. If at least one clearly relevant news article about Johan Cruyff appears in the results, remember that you have found such an article.\n3. If NO relevant article is found: reply that you did not place the order because no Johan Cruyff news article was found.\n4. If a relevant article IS found: go to the Shop and search for \"Oval Mosaic Wall Mirror\".\n5. Open the appropriate product page and click \"Buy Now\" to place the order.\n6. Capture the confirmation code and send it as the answer.",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"4aa17fd340"
],
"scope": "full",
"fuzzy_match": "4AA17FD340"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Conditional task whose correct branch ends in a confirmation code. The code is a unique alphanumeric token, so a single must_include is exact: word-boundary matching stops it from matching a longer code, and case/markdown are normalized away. An answer on the wrong branch ('I did not place the order') cannot contain it.",
"source": "batch_03.json"
}
}
},
{
"task_id": 230,
"intent": "Search \"El Paso, Texas\" on Wiki and find the last sentence in the article’s content. Has the event mentioned in the last sentence been covered by any news article?",
"sites": [
"wiki",
"news"
],
"start_url": "__WIKI__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. On Wiki, search for \"El Paso, Texas\" and open the article.\n2. Read through the main content of the article (excluding references, infoboxes, and navigation) and identify the very last sentence.\n3. Determine what event is being described in that last sentence.\n4. On News, search for that event (using key terms, names, and dates as needed).\n5. Check whether at least one news article clearly covers the same event.\n6. Answer \"Yes\" if such coverage exists; otherwise, answer \"No\".",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"yes"
],
"must_exclude": [
"no"
],
"scope": "first_sentence",
"fuzzy_match": "Yes"
},
"revision": 1,
"annotation": {
"confidence": "high",
"subjective": false,
"gold_suspect": false,
"notes": "Standard yes/no rule; first-sentence scope so the supporting detail after the verdict cannot trip the 'no' exclusion.",
"source": "batch_06.json"
}
}
},
{
"task_id": 231,
"intent": "What happened at the end of the book \"The Neptune Secret\"?",
"sites": [
"wiki",
"news",
"webshop"
],
"start_url": "__NEWS__",
"split": "train",
"additional_instructions": "Perform these instructions to complete the task:\n\n1. Based on the query, searching Wiki is the most appropriate first step. Go to Wiki.\n2. In the Wiki search bar, type \"The Neptune Secret\" and press Enter.\n3. When no relevant results for a book titled \"The Neptune Secret\" are found, reply to the user with: \"No such book exists.\"",
"eval": {
"eval_types": [
"string_match"
],
"reference_answers": {
"must_include": [
"no such book |OR| no such title |OR| no such novel |OR| no such publication |OR| no book called |OR| no book titled |OR| no book named |OR| no book by that |OR| no book with that |OR| does not exist |OR| doesn't exist |OR| do not exist |OR| don't exist |OR| not exist |OR| no matching book |OR| not a real book |OR| not a real novel |OR| not a book |OR| find any book |OR| find any such book |OR| find no book |OR| found no book |OR| not appear to exist |OR| not seem to exist |OR| nonexistent |OR| non existent |OR| isn't a real book |OR| is not a real book"
],
"scope": "full",
"fuzzy_match": "No such book exists"
},
"revision": 1,
"annotation": {
"confidence": "medium",
"subjective": false,
"gold_suspect": false,
"notes": "The correct answer denies the premise, so the anchor is the nonexistence claim rather than any plot detail. Dropped the weak per-site-deniable alternatives from the earlier list -- bare 'no book', 'no results' and 'no record' each fire on a mixed wrong answer that denies one site and then hallucinates an ending from another ('no book quite like it; it ends when...', 'the Shop returned no results, but the News article reveals the ending'). Replaced 'no book' with the specific nonexistence forms ('no book called/titled/named/by that title') and added 'find any book' so 'I couldn't find any book by that title' is still accepted. Medium confidence: a hallucinated plot whose prose happens to contain 'does not exist' would still slip through.",
"source": "batch_01.json"
}
}
}
]
|