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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ValueError
Message: Not able to read records in the JSON file at hf://datasets/Tanvir1337/opendirs@83cd166a91d89a8a9df045402243b87bd8829f94/data.json. You should probably indicate the field of the JSON file containing your records. 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'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']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables
raise ValueError(
ValueError: Not able to read records in the JSON file at hf://datasets/Tanvir1337/opendirs@83cd166a91d89a8a9df045402243b87bd8829f94/data.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['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', 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'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']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
opendirs [JSON dataset]
r/opendirectories Master List.
Structure
The structure is as follows:
id: {
id,
url,
urls (associated urls from the same post),
text (original text from the reddit post),
status (response code),
}
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