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{"label": 2, "sentence1": "that is cute . my girlfriend is pregnant , we do not have any pets .", "sentence2": "my cat died .", "triple1": ["i", "not_have", "pet"], "triple2": ["my", "have_pet", "cat"], "dtype": "rswap_up", "id": "dialogue_nli_train_225024", "original_label": "negative"} |
{"feat_id": "13865210", "text": "Paulina: we're approaching the town\nAmy: where are you?\nJesus: waiting at the platform, no worries", "target": "Paulina and Amy are reaching the town. Jesus is waiting at the platform.", "evaluation_predictions": [2, 0, 0, 12083, 1243, 35, 52, 214, 8955, 5, 1139, 4, 38646, 35, 147, 32, 47, 116, 33877, 35, 2445, 23, 5, 1761, 6, 117, 7697, 4, 1206, 1243, 35, 4820, 32, 47, 164, 116, 5772, 35, 38, 437, 164, 7, 2067, 13, 47, 15, 5, 1761, 4, 6918, 35, 4820, 109, 47, 236, 7, 213, 116, 5772, 161, 37, 18, 164, 7, 5, 1992, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"feat_id": "13820786", "text": "Ray: It was awesome, thank you all!\r\nAmy: <3\r\nGarry: Thank youuuu, it was so much fun. I'm sorry I couldn't stay longer. Hugs for everyone :D\r\nAmy: (Y)\r\nPaula: I agree with Garry. It short yet intense :D it was so good to see everyone, and you Amy. Again happy happy birthday, NOT relatively good as Artie wrote hahaha\r\nAmy: :D\r\nKris: We also had so much fun :D Thank you so much :D it was super cool to get to know Amy's friends :) P.S. standing ovation for choral performances :)\r\nAmy: <3\r\nRory: I also wanna thank you Amy. Unfotunately, \"boogers\" didn't allow us to stay longer.\r\nAmy: :D\r\nPaula: Did you catch a cold rory? haha :D", "target": "Amy's birthday party gets great feedback from Ray, Garry, Paula, Kris and Rory. Some people like Rory or Garry had to leave earlier.", "evaluation_predictions": [2, 0, 24185, 35, 85, 21, 6344, 6, 3392, 47, 70, 328, 44660, 28333, 35, 3837, 47, 26310, 257, 6, 24, 21, 98, 203, 1531, 4, 38, 437, 6661, 38, 1705, 75, 1095, 1181, 4, 221, 4, 104, 4, 2934, 1021, 19914, 13, 1855, 15010, 4476, 44660, 6918, 35, 36, 975, 43, 33498, 35, 22, 243, 21, 98, 205, 7, 192, 961, 6, 8, 47, 6918, 113, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"feat_id": "13730727", "text": "Veki: Are they finished their job?\r\nMeki: No, they are playing right now.\r\nVeki: Who is the better?\r\nMeki: Rada is the best, then Radmila and at the end is Gorjana.\r\nVeki: which game they are playing?\r\nMeki: Canasta game.\r\nVeki: do you know to play a Canasta?\r\nMeki: No, I do not like to play cards.\r\nVeki: Why?\r\nMeki: For me, playing a cards is rather losing i nice time.\r\nVeki: Hm.\r\nMeki: It is better to read something actual rom news papers or from some Internet blogs.\r\nVeki: You are right.\r\nMeki: Good bye, I love you.\r\nVeki: I love you too. Good bye. ", "target": "Meki is watching Rada, Radmila, and Gorjana play Canasta. Meki prefers reading to playing cards.", "evaluation_predictions": [2, 0, 846, 35520, 35, 3945, 51, 1550, 49, 633, 116, 4423, 35, 440, 6, 51, 32, 816, 235, 122, 4, 468, 35520, 35, 248, 2095, 16, 5, 275, 6, 172, 7312, 119, 4882, 8, 23, 5, 253, 16, 12627, 267, 1113, 4, 468, 1951, 35, 85, 16, 357, 7, 1166, 402, 3031, 14233, 340, 6665, 50, 31, 3742, 22064, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"feat_id": "13828131", "text": "Anne: <file_photo>\r\nNick: Wow, what's that?\r\nAnne: You remember the curry wurst you brought me from Berlin?\r\nNick: Yeah, how was it? \r\nAnne: Frankly? I've just thrown it away and used the jar as a pot for this lovely hyacinth! \r\nNick: You're not only creative, but also have green fingers, wow!", "target": "Anne didn't eat the curry wurst Nick brought her from Berlin. She disposed of it and used the jar as a flower pot.", "evaluation_predictions": [2, 0, 30678, 35, 370, 2145, 5, 30040, 885, 30141, 47, 1146, 162, 31, 5459, 116, 50147, 50141, 25602, 35, 8976, 6, 141, 21, 24, 116, 1437, 50147, 50141, 30678, 35, 3848, 352, 116, 38, 348, 95, 5629, 24, 409, 8, 341, 5, 25413, 25, 10, 4728, 13, 42, 9869, 14791, 1043, 35744, 328, 50143, 50141, 50142, 50141, 113, 1185, 214, 45, 129, 3904, 6, 53, 67, 33, 2272, 10802, 6, 26388, 328, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"feat_id": "13682021", "text": "Josef: join me today\r\nBryan: where?\r\nJosef: i will be selling my products in the old town\r\nBryan: oh, wow\r\nJosef: yeah, there is a market of local products and i go there with my cheese\r\nBryan: so i will help ypu\r\nJosef: you dont need to i just want you to be there with me :)", "target": "Josef will be selling his cheese at a market in the old town and wants Bryan to join him.", "evaluation_predictions": [2, 0, 33011, 506, 35, 1962, 162, 452, 4, 38, 40, 28, 2183, 127, 785, 11, 5, 793, 1139, 4, 345, 16, 10, 210, 9, 400, 785, 8, 939, 213, 89, 19, 127, 7134, 4, 3071, 506, 35, 98, 939, 40, 244, 1423, 30738, 4, 38, 95, 236, 47, 7, 28, 89, 19, 162, 4, 44660, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"feat_id": "13729661", "text": "Hank: Mom were out of ice cream\r\nFay: Is this your way of asking for more?\r\nHank: Mom please!\r\nFay: you have money you can go to the store\r\nHank: yeah but youre going anyway\r\nFay: and you wonder why your sister is our favourite", "target": "Hank asks Fay to buy ice-cream.", "evaluation_predictions": [2, 0, 725, 3153, 35, 10631, 58, 66, 9, 2480, 6353, 98, 38, 437, 164, 7, 5, 1400, 4, 13066, 35, 1534, 42, 110, 169, 9, 1996, 13, 55, 116, 289, 3153, 35, 11380, 53, 47, 241, 164, 6992, 4, 13066, 161, 35, 8, 47, 5170, 596, 110, 2761, 16, 84, 5548, 4, 289, 3153, 17904, 35, 22, 10105, 79, 18, 84, 5548, 113, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"feat_id": "13680596", "text": "Rob: can you man the calls today\r\nSue: fine all day?\r\nRob: well I have the meeting in Plymouth so will probably be out of the office most of the day\r\nSue: ok thats fine, what time is the meeting?\r\nRob: need to be in the centre of Plymouth for about 11.30\r\nSue: no worries.. let me know how you get on\r\nRob: will do should be a good little job ongoing\r\nSue: great will we get Graham Mason on that?\r\nRob: yes I think so we can start after the new yer", "target": "Rob has a meeting in Plymouth at 11.30 and asks Sue to man the calls today. Rob expects a good job, engage Graham Mason in the job and start it after the New Year. ", "evaluation_predictions": [2, 0, 18776, 35, 64, 47, 313, 5, 1519, 452, 116, 14239, 35, 2051, 70, 183, 116, 3005, 35, 157, 38, 33, 10, 529, 11, 22524, 98, 40, 1153, 28, 66, 9, 5, 558, 144, 9, 5, 183, 4, 14239, 35, 15983, 45365, 2051, 6, 99, 86, 16, 5, 529, 116, 18776, 35, 240, 7, 28, 11, 5, 2100, 9, 22524, 13, 59, 365, 4, 541, 4, 3005, 35, 40, 109, 197, 28, 10, 205, 410, 633, 2256, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"feat_id": "13611904", "text": "Roc: I spy with my little eye\r\nWill: Who is this?\r\nRoc: It's Roc!\r\nWill: I'm sorry, but I think you got the wrong number. \r\nRoc: Oops, really sorry.\r\nWill: No problem :)", "target": "Roc got the wrong number.", "evaluation_predictions": [2, 0, 500, 1975, 35, 38, 10258, 19, 127, 410, 2295, 4, 2290, 35, 3394, 16, 42, 116, 248, 1975, 35, 85, 18, 16809, 328, 2290, 35, 38, 437, 6661, 6, 53, 38, 206, 47, 300, 5, 1593, 346, 4, 16809, 35, 44007, 6, 269, 6661, 4, 17485, 35, 440, 936, 44660, 16809, 35, 85, 21, 16809, 328, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]} |
{"text": "Do booster shots have side effects worsen than the second shot ?", "label": 175} |
{"text": "the vaccine has side effects?", "label": 175} |
{"text": "booster vaccine leaves worse side effects than first and second doses", "label": 175} |
{"text": "because the second dose of the covid-19 vaccine is higher in side effects", "label": 175} |
{"text": "really the side effects are worse after the first injection?", "label": 175} |
{"text": "Will the second injection have fewer effects than the side effects of the vaccine?", "label": 175} |
{"text": "because the second dose of the vaccine causes more side effects in people", "label": 175} |
{"text": "Are the side effects of the booster worse than those of the second", "label": 175} |
{"text": "Does the booster have stronger side effects?", "label": 175} |
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{"url": "https://api.github.com/repos/huggingface/datasets/issues/4407", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4407/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4407/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4407/events", "html_url": "https://github.com/huggingface/datasets/issues/4407", "id": 1248671778, "node_id": "I_kwDODunzps5KbTgi", "number": 4407, "title": "Dataset Viewer issue for [conll2012_ontonotesv5]", "user": {"login": "jiangwy99", "id": 39762734, "node_id": "MDQ6VXNlcjM5NzYyNzM0", "avatar_url": "https://avatars.githubusercontent.com/u/39762734?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jiangwy99", "html_url": "https://github.com/jiangwy99", "followers_url": "https://api.github.com/users/jiangwy99/followers", "following_url": "https://api.github.com/users/jiangwy99/following{/other_user}", "gists_url": "https://api.github.com/users/jiangwy99/gists{/gist_id}", "starred_url": "https://api.github.com/users/jiangwy99/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/jiangwy99/subscriptions", "organizations_url": "https://api.github.com/users/jiangwy99/orgs", "repos_url": "https://api.github.com/users/jiangwy99/repos", "events_url": "https://api.github.com/users/jiangwy99/events{/privacy}", "received_events_url": "https://api.github.com/users/jiangwy99/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 3470211881, "node_id": "LA_kwDODunzps7O1zsp", "url": "https://api.github.com/repos/huggingface/datasets/labels/dataset-viewer", "name": "dataset-viewer", "color": "E5583E", "default": false, "description": "Related to the dataset viewer on huggingface.co"}], "state": "open", "locked": false, "assignee": {"login": "severo", "id": 1676121, "node_id": "MDQ6VXNlcjE2NzYxMjE=", "avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4", "gravatar_id": "", "url": "https://api.github.com/users/severo", "html_url": "https://github.com/severo", "followers_url": "https://api.github.com/users/severo/followers", "following_url": "https://api.github.com/users/severo/following{/other_user}", "gists_url": "https://api.github.com/users/severo/gists{/gist_id}", "starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/severo/subscriptions", "organizations_url": "https://api.github.com/users/severo/orgs", "repos_url": "https://api.github.com/users/severo/repos", "events_url": "https://api.github.com/users/severo/events{/privacy}", "received_events_url": "https://api.github.com/users/severo/received_events", "type": "User", "site_admin": false}, "assignees": [{"login": "severo", "id": 1676121, "node_id": "MDQ6VXNlcjE2NzYxMjE=", "avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4", "gravatar_id": "", "url": "https://api.github.com/users/severo", "html_url": "https://github.com/severo", "followers_url": "https://api.github.com/users/severo/followers", "following_url": "https://api.github.com/users/severo/following{/other_user}", "gists_url": "https://api.github.com/users/severo/gists{/gist_id}", "starred_url": "https://api.github.com/users/severo/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/severo/subscriptions", "organizations_url": "https://api.github.com/users/severo/orgs", "repos_url": "https://api.github.com/users/severo/repos", "events_url": "https://api.github.com/users/severo/events{/privacy}", "received_events_url": "https://api.github.com/users/severo/received_events", "type": "User", "site_admin": false}], "milestone": null, "comments": ["Thanks for reporting, @jiangwy99.\r\n\r\nI guess this could be addressed only once we fix our issue with irresponsive backend endpoint.\r\n\r\nCC: @severo "], "created_at": 1653509913000, "updated_at": 1653509914000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "### Link\n\nhttps://huggingface.co/datasets/conll2012_ontonotesv5\n\n### Description\n\nDataset viewer outage.\n\n### Owner\n\nNo", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4407/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4407/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4406", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4406/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4406/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4406/events", "html_url": "https://github.com/huggingface/datasets/pull/4406", "id": 1248626622, "node_id": "PR_kwDODunzps44ePLU", "number": 4406, "title": "Improve language tag for PIAF dataset", "user": {"login": "lbourdois", "id": 58078086, "node_id": "MDQ6VXNlcjU4MDc4MDg2", "avatar_url": "https://avatars.githubusercontent.com/u/58078086?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lbourdois", "html_url": "https://github.com/lbourdois", "followers_url": "https://api.github.com/users/lbourdois/followers", "following_url": "https://api.github.com/users/lbourdois/following{/other_user}", "gists_url": "https://api.github.com/users/lbourdois/gists{/gist_id}", "starred_url": "https://api.github.com/users/lbourdois/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lbourdois/subscriptions", "organizations_url": "https://api.github.com/users/lbourdois/orgs", "repos_url": "https://api.github.com/users/lbourdois/repos", "events_url": "https://api.github.com/users/lbourdois/events{/privacy}", "received_events_url": "https://api.github.com/users/lbourdois/received_events", "type": "User", "site_admin": false}, "labels": [], "state": "open", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": [], "created_at": 1653507715000, "updated_at": 1653507862000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4406", "html_url": "https://github.com/huggingface/datasets/pull/4406", "diff_url": "https://github.com/huggingface/datasets/pull/4406.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4406.patch", "merged_at": null}, "body": "Hi, \r\n\r\nAs pointed out by @lhoestq in this discussion (https://huggingface.co/datasets/asi/wikitext_fr/discussions/1), it is not yet possible to edit datasets outside of a namespace with the Hub PR feature and that you have to go through GitHub.\r\n\r\nThis modification should allow better referencing since only the xx language tags are currently taken into account and not the xx-xx.", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4406/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4406/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4405", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4405/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4405/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4405/events", "html_url": "https://github.com/huggingface/datasets/issues/4405", "id": 1248574087, "node_id": "I_kwDODunzps5Ka7qH", "number": 4405, "title": "[TypeError: Couldn't cast array of type] Cannot process dataset in v2.2.2", "user": {"login": "jiangwy99", "id": 39762734, "node_id": "MDQ6VXNlcjM5NzYyNzM0", "avatar_url": "https://avatars.githubusercontent.com/u/39762734?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jiangwy99", "html_url": "https://github.com/jiangwy99", "followers_url": "https://api.github.com/users/jiangwy99/followers", "following_url": "https://api.github.com/users/jiangwy99/following{/other_user}", "gists_url": "https://api.github.com/users/jiangwy99/gists{/gist_id}", "starred_url": "https://api.github.com/users/jiangwy99/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/jiangwy99/subscriptions", "organizations_url": "https://api.github.com/users/jiangwy99/orgs", "repos_url": "https://api.github.com/users/jiangwy99/repos", "events_url": "https://api.github.com/users/jiangwy99/events{/privacy}", "received_events_url": "https://api.github.com/users/jiangwy99/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892857, "node_id": "MDU6TGFiZWwxOTM1ODkyODU3", "url": "https://api.github.com/repos/huggingface/datasets/labels/bug", "name": "bug", "color": "d73a4a", "default": true, "description": "Something isn't working"}], "state": "open", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": ["And if the problem is that the way I am to construct the {Entity Type: list of spans} makes entity types without any spans hard to handle, is there a better way to meet the demand? Although I have verified that to make entity types without any spans to behave like `entity_chunk[label] = [[\"\"]]` can perform normally, I still wonder if there is a more elegant way?"], "created_at": 1653505003000, "updated_at": 1653506271000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "## Describe the bug\r\nI am trying to process the [conll2012_ontonotesv5](https://huggingface.co/datasets/conll2012_ontonotesv5) dataset in `datasets` v2.2.2 and am running into a type error when casting the features.\r\n\r\n## Steps to reproduce the bug\r\n```python\r\nimport os\r\nfrom typing import (\r\n List,\r\n Dict,\r\n)\r\nfrom collections import (\r\n defaultdict,\r\n)\r\nfrom dataclasses import (\r\n dataclass,\r\n)\r\nfrom datasets import (\r\n load_dataset,\r\n)\r\n\r\n\r\n@dataclass\r\nclass ConllConverter:\r\n\r\n path: str\r\n name: str\r\n cache_dir: str\r\n\r\n def __post_init__(\r\n self,\r\n ):\r\n self.dataset = load_dataset(\r\n path=self.path,\r\n name=self.name,\r\n cache_dir=self.cache_dir,\r\n )\r\n\r\n def convert(\r\n self,\r\n ):\r\n\r\n class_label = self.dataset[\"train\"].features[\"sentences\"][0][\"named_entities\"].feature\r\n # label_set = list(set([\r\n # label.split(\"-\")[1] if label != \"O\" else label for label in class_label.names\r\n # ]))\r\n\r\n def prepare_chunk(token, entity):\r\n assert len(token) == len(entity)\r\n # Sequence length\r\n length = len(token)\r\n # Variable used\r\n entity_chunk = defaultdict(list)\r\n idx = flag = 0\r\n # While loop\r\n while idx < length:\r\n if entity[idx] == \"O\":\r\n flag += 1\r\n idx += 1\r\n else:\r\n iob_tp, lab_tp = entity[idx].split(\"-\")\r\n assert iob_tp == \"B\"\r\n idx += 1\r\n while idx < length and entity[idx].startswith(\"I-\"):\r\n idx += 1\r\n entity_chunk[lab_tp].append(token[flag: idx])\r\n flag = idx\r\n entity_chunk = dict(entity_chunk)\r\n # for label in label_set:\r\n # if label != \"O\" and label not in entity_chunk.keys():\r\n # entity_chunk[label] = None\r\n return entity_chunk\r\n\r\n def prepare_features(\r\n batch: Dict[str, List],\r\n ) -> Dict[str, List]:\r\n sentence = [\r\n sent for doc_sent in batch[\"sentences\"] for sent in doc_sent\r\n ]\r\n feature = {\r\n \"sentence\": list(),\r\n }\r\n for sent in sentence:\r\n token = sent[\"words\"]\r\n entity = class_label.int2str(sent[\"named_entities\"])\r\n entity_chunk = prepare_chunk(token, entity)\r\n sent_feat = {\r\n \"token\": token,\r\n \"entity\": entity,\r\n \"entity_chunk\": entity_chunk,\r\n }\r\n feature[\"sentence\"].append(sent_feat)\r\n\r\n return feature\r\n\r\n column_names = self.dataset.column_names[\"train\"]\r\n dataset = self.dataset.map(\r\n function=prepare_features,\r\n with_indices=False,\r\n batched=True,\r\n batch_size=3,\r\n remove_columns=column_names,\r\n num_proc=1,\r\n )\r\n dataset.save_to_disk(\r\n dataset_dict_path=os.path.join(\"data\", self.path, self.name)\r\n )\r\n\r\n\r\nif __name__ == \"__main__\":\r\n converter = ConllConverter(\r\n path=\"conll2012_ontonotesv5\",\r\n name=\"english_v4\",\r\n cache_dir=\"cache\",\r\n )\r\n converter.convert()\r\n\r\n```\r\n\r\n## Expected results\r\nI want to use the dataset to perform NER task and to change the label list into a {Entity Type: list of spans} format.\r\n\r\n## Actual results\r\n<details>\r\n<summary>Traceback</summary>\r\n\r\n```python\r\nTraceback (most recent call last): | 0/81 [00:00<?, ?ba/s]\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/multiprocess/pool.py\", line 125, in worker\r\n result = (True, func(*args, **kwds))\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/arrow_dataset.py\", line 532, in wrapper\r\n out: Union[\"Dataset\", \"DatasetDict\"] = func(self, *args, **kwargs)\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/arrow_dataset.py\", line 499, in wrapper\r\n out: Union[\"Dataset\", \"DatasetDict\"] = func(self, *args, **kwargs)\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/fingerprint.py\", line 458, in wrapper\r\n out = func(self, *args, **kwargs)\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/arrow_dataset.py\", line 2751, in _map_single\r\n writer.write_batch(batch)\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/arrow_writer.py\", line 503, in write_batch\r\n arrays.append(pa.array(typed_sequence))\r\n File \"pyarrow/array.pxi\", line 230, in pyarrow.lib.array\r\n File \"pyarrow/array.pxi\", line 110, in pyarrow.lib._handle_arrow_array_protocol\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/arrow_writer.py\", line 198, in __arrow_array__\r\n out = cast_array_to_feature(out, type, allow_number_to_str=not self.trying_type)\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/table.py\", line 1675, in wrapper\r\n return func(array, *args, **kwargs)\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/table.py\", line 1793, in cast_array_to_feature\r\n arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/table.py\", line 1793, in <listcomp>\r\n arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/table.py\", line 1675, in wrapper\r\n return func(array, *args, **kwargs)\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/table.py\", line 1844, in cast_array_to_feature\r\n raise TypeError(f\"Couldn't cast array of type\\n{array.type}\\nto\\n{feature}\")\r\nTypeError: Couldn't cast array of type\r\nstruct<CARDINAL: list<item: list<item: string>>, DATE: list<item: list<item: string>>, EVENT: list<item: list<item: string>>, FAC: list<item: list<item: string>>, GPE: list<item: list<item: string>>, LANGUAGE: list<item: list<item: string>>, LAW: list<item: list<item: string>>, LOC: list<item: list<item: string>>, MONEY: list<item: list<item: string>>, NORP: list<item: list<item: string>>, ORDINAL: list<item: list<item: string>>, ORG: list<item: list<item: string>>, PERCENT: list<item: list<item: string>>, PERSON: list<item: list<item: string>>, QUANTITY: list<item: list<item: string>>, TIME: list<item: list<item: string>>, WORK_OF_ART: list<item: list<item: string>>>\r\nto\r\n{'CARDINAL': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'DATE': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'EVENT': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'FAC': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'GPE': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'LAW': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'LOC': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'MONEY': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'NORP': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'ORDINAL': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'ORG': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'PERCENT': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'PERSON': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'PRODUCT': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'QUANTITY': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'TIME': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'WORK_OF_ART': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None)}\r\n\"\"\"\r\n\r\nThe above exception was the direct cause of the following exception:\r\n\r\nTraceback (most recent call last):\r\n File \"/home2/jiangwangyi/workspace/work/Entity/dataconverter.py\", line 110, in <module>\r\n converter.convert()\r\n File \"/home2/jiangwangyi/workspace/work/Entity/dataconverter.py\", line 91, in convert\r\n dataset = self.dataset.map(\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/dataset_dict.py\", line 770, in map\r\n {\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/dataset_dict.py\", line 771, in <dictcomp>\r\n k: dataset.map(\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/datasets/arrow_dataset.py\", line 2459, in map\r\n transformed_shards[index] = async_result.get()\r\n File \"/home2/jiangwangyi/miniconda3/lib/python3.9/site-packages/multiprocess/pool.py\", line 771, in get\r\n raise self._value\r\nTypeError: Couldn't cast array of type\r\nstruct<CARDINAL: list<item: list<item: string>>, DATE: list<item: list<item: string>>, EVENT: list<item: list<item: string>>, FAC: list<item: list<item: string>>, GPE: list<item: list<item: string>>, LANGUAGE: list<item: list<item: string>>, LAW: list<item: list<item: string>>, LOC: list<item: list<item: string>>, MONEY: list<item: list<item: string>>, NORP: list<item: list<item: string>>, ORDINAL: list<item: list<item: string>>, ORG: list<item: list<item: string>>, PERCENT: list<item: list<item: string>>, PERSON: list<item: list<item: string>>, QUANTITY: list<item: list<item: string>>, TIME: list<item: list<item: string>>, WORK_OF_ART: list<item: list<item: string>>>\r\nto\r\n{'CARDINAL': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'DATE': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'EVENT': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'FAC': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'GPE': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'LAW': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'LOC': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'MONEY': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'NORP': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'ORDINAL': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'ORG': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'PERCENT': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'PERSON': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'PRODUCT': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'QUANTITY': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'TIME': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'WORK_OF_ART': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None)}\r\n```\r\n\r\n</details>\r\n\r\n## Environment info\r\n<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->\r\n- `datasets` version: 2.2.2\r\n- Platform: Ubuntu 18.04\r\n- Python version: 3.9.7\r\n- PyArrow version: 7.0.0\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4405/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4405/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4404", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4404/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4404/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4404/events", "html_url": "https://github.com/huggingface/datasets/issues/4404", "id": 1248572899, "node_id": "I_kwDODunzps5Ka7Xj", "number": 4404, "title": "Dataset should have a `.name` field", "user": {"login": "f4hy", "id": 36440, "node_id": "MDQ6VXNlcjM2NDQw", "avatar_url": "https://avatars.githubusercontent.com/u/36440?v=4", "gravatar_id": "", "url": "https://api.github.com/users/f4hy", "html_url": "https://github.com/f4hy", "followers_url": "https://api.github.com/users/f4hy/followers", "following_url": "https://api.github.com/users/f4hy/following{/other_user}", "gists_url": "https://api.github.com/users/f4hy/gists{/gist_id}", "starred_url": "https://api.github.com/users/f4hy/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/f4hy/subscriptions", "organizations_url": "https://api.github.com/users/f4hy/orgs", "repos_url": "https://api.github.com/users/f4hy/repos", "events_url": "https://api.github.com/users/f4hy/events{/privacy}", "received_events_url": "https://api.github.com/users/f4hy/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892871, "node_id": "MDU6TGFiZWwxOTM1ODkyODcx", "url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement", "name": "enhancement", "color": "a2eeef", "default": true, "description": "New feature or request"}], "state": "open", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": ["Hi! You can already use `dset.builder_name` and `dset.config_name` for that purpose. And when it comes to versioning, it's better to use `dset._fingerprint` than the `version` attribute as the former represents a deterministic hash that encodes all the mutable ops executed on a dataset, and the latter stays the same unless it's manually updated after each op."], "created_at": 1653504968000, "updated_at": 1653504968000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "**Is your feature request related to a problem? Please describe.**\r\nIf building pipelines that can evaluate on more than one dataset, it would be nice to be able to log results of things like `Evaluating on {dataset.name}` or `results for {dataset.name} are: {results}`\r\n\r\nWithout some way of concisely identifying a dataset from the dataset object, tools which might run on more than one dataset must be passed the dataset object _and_ the name/id of the dataset being used. \r\n\r\n**Describe the solution you'd like**\r\nThe DatasetInfo class should have a `name` field which is the name of a dataset. then for a given dataset if it evolves in time the `version` can be updated but its different versions of the same dataset with a unique `name`. The name could then all be accessed by `dataset.name`\r\n\r\n**Describe alternatives you've considered**\r\nFor my own purposes I am considering making `NamedDataset[Dataset]` where the subclass just has a .name field. \r\n\r\n**Additional context**\r\nMy guess is that most usecases are not working with more than one dataset in a given pipeline so a name is not really needed. This has surprised me though as one of the advantages of a standard dataset interface is to be able to build pipelines which can be passed in a dataset and separate responsibilities of the dataset loading from the train or eval pipeline.\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4404/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4404/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4403", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4403/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4403/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4403/events", "html_url": "https://github.com/huggingface/datasets/pull/4403", "id": 1248390134, "node_id": "PR_kwDODunzps44dcpl", "number": 4403, "title": "Uncomment logging deactivation for ArrowBasedBuilder", "user": {"login": "thomasw21", "id": 24695242, "node_id": "MDQ6VXNlcjI0Njk1MjQy", "avatar_url": "https://avatars.githubusercontent.com/u/24695242?v=4", "gravatar_id": "", "url": "https://api.github.com/users/thomasw21", "html_url": "https://github.com/thomasw21", "followers_url": "https://api.github.com/users/thomasw21/followers", "following_url": "https://api.github.com/users/thomasw21/following{/other_user}", "gists_url": "https://api.github.com/users/thomasw21/gists{/gist_id}", "starred_url": "https://api.github.com/users/thomasw21/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/thomasw21/subscriptions", "organizations_url": "https://api.github.com/users/thomasw21/orgs", "repos_url": "https://api.github.com/users/thomasw21/repos", "events_url": "https://api.github.com/users/thomasw21/events{/privacy}", "received_events_url": "https://api.github.com/users/thomasw21/received_events", "type": "User", "site_admin": false}, "labels": [], "state": "open", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": ["The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4403). All of your documentation changes will be reflected on that endpoint."], "created_at": 1653497175000, "updated_at": 1653497463000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4403", "html_url": "https://github.com/huggingface/datasets/pull/4403", "diff_url": "https://github.com/huggingface/datasets/pull/4403.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4403.patch", "merged_at": null}, "body": null, "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4403/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4403/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4402", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4402/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4402/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4402/events", "html_url": "https://github.com/huggingface/datasets/pull/4402", "id": 1248078067, "node_id": "PR_kwDODunzps44cdR5", "number": 4402, "title": "Skip identical files in `push_to_hub` instead of overwriting", "user": {"login": "mariosasko", "id": 47462742, "node_id": "MDQ6VXNlcjQ3NDYyNzQy", "avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mariosasko", "html_url": "https://github.com/mariosasko", "followers_url": "https://api.github.com/users/mariosasko/followers", "following_url": "https://api.github.com/users/mariosasko/following{/other_user}", "gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}", "starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions", "organizations_url": "https://api.github.com/users/mariosasko/orgs", "repos_url": "https://api.github.com/users/mariosasko/repos", "events_url": "https://api.github.com/users/mariosasko/events{/privacy}", "received_events_url": "https://api.github.com/users/mariosasko/received_events", "type": "User", "site_admin": false}, "labels": [], "state": "closed", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": ["_The documentation is not available anymore as the PR was closed or merged._"], "created_at": 1653484371000, "updated_at": 1653491796000, "closed_at": 1653491283000, "author_association": "CONTRIBUTOR", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4402", "html_url": "https://github.com/huggingface/datasets/pull/4402", "diff_url": "https://github.com/huggingface/datasets/pull/4402.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4402.patch", "merged_at": 1653491283000}, "body": "Skip identical files instead of overwriting them to save bandwidth and circumvent (user-side/server-side) errors, which can arise when working with large datasets due to long-lasting HTTP connections, by repeating calls to `push_to_hub` to resume an upload.\r\n\r\nTo be able to check if an upload can be resumed, this PR modifies the shard naming scheme from:\r\n```\r\ndata/{split}-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9].parquet\r\n```\r\nto:\r\n```\r\ndata/{split}-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]-<SHARD_FINGERPRINT>.parquet\r\n```\r\ncc @LysandreJik ", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4402/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4402/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4401", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4401/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4401/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4401/events", "html_url": "https://github.com/huggingface/datasets/issues/4401", "id": 1247695921, "node_id": "I_kwDODunzps5KXlQx", "number": 4401, "title": "\"NonMatchingChecksumError\" when importing 'spider' dataset", "user": {"login": "OmarAlaaeldein", "id": 81417777, "node_id": "MDQ6VXNlcjgxNDE3Nzc3", "avatar_url": "https://avatars.githubusercontent.com/u/81417777?v=4", "gravatar_id": "", "url": "https://api.github.com/users/OmarAlaaeldein", "html_url": "https://github.com/OmarAlaaeldein", "followers_url": "https://api.github.com/users/OmarAlaaeldein/followers", "following_url": "https://api.github.com/users/OmarAlaaeldein/following{/other_user}", "gists_url": "https://api.github.com/users/OmarAlaaeldein/gists{/gist_id}", "starred_url": "https://api.github.com/users/OmarAlaaeldein/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/OmarAlaaeldein/subscriptions", "organizations_url": "https://api.github.com/users/OmarAlaaeldein/orgs", "repos_url": "https://api.github.com/users/OmarAlaaeldein/repos", "events_url": "https://api.github.com/users/OmarAlaaeldein/events{/privacy}", "received_events_url": "https://api.github.com/users/OmarAlaaeldein/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892857, "node_id": "MDU6TGFiZWwxOTM1ODkyODU3", "url": "https://api.github.com/repos/huggingface/datasets/labels/bug", "name": "bug", "color": "d73a4a", "default": true, "description": "Something isn't working"}], "state": "open", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": ["Thanks for reporting, @OmarAlaaeldein.\r\n\r\nDatasets hosted at Google Drive give problems quite often due to a change in their service:\r\n- #3786 \r\n\r\nRelated to:\r\n- #3906\r\n\r\nI'm having a look.", "We have made a Pull Request to replace the Google Drive URL. This fix will be accessible in our next `datasets` library release.\r\n\r\nIn the meantime, once the PR merged into master, you can get this fix by installing our library from the GitHub master branch:\r\n```shell\r\npip install git+https://github.com/huggingface/datasets#egg=datasets\r\n```\r\nThen, if you had previously tried to load the data and got the checksum error, you should force the redownload of the data (before the fix, you just downloaded and cached the virus scan warning page, instead of the data file):\r\n```shell\r\nload_dataset(\"...\", download_mode=\"force_redownload\")\r\n```"], "created_at": 1653464707000, "updated_at": 1653466999000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "## Describe the bug\r\nWhen importing 'spider' dataset [https://huggingface.co/datasets/spider] an error occurs\r\n\r\n## Steps to reproduce the bug\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset('spider')\r\n```\r\n\r\n## Expected results\r\nDataset object\r\n\r\n## Actual results\r\nNonMatchingChecksumError: Checksums didn't match for dataset source files:\r\n['https://drive.google.com/uc?export=download&id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0']\r\n\r\n## Environment info\r\n- `datasets` version: 2.2.2\r\n- Platform: Windows-10-10.0.19041-SP0\r\n- Python version: 3.7.11\r\n- PyArrow version: 6.0.1\r\n- Pandas version: 1.3.5\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4401/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4401/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4400", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4400/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4400/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4400/events", "html_url": "https://github.com/huggingface/datasets/issues/4400", "id": 1247404237, "node_id": "I_kwDODunzps5KWeDN", "number": 4400, "title": "load dataset wikitext-2-raw-v1 failed. Could not reach wikitext-2-raw-v1.py.", "user": {"login": "cailun01", "id": 20658907, "node_id": "MDQ6VXNlcjIwNjU4OTA3", "avatar_url": "https://avatars.githubusercontent.com/u/20658907?v=4", "gravatar_id": "", "url": "https://api.github.com/users/cailun01", "html_url": "https://github.com/cailun01", "followers_url": "https://api.github.com/users/cailun01/followers", "following_url": "https://api.github.com/users/cailun01/following{/other_user}", "gists_url": "https://api.github.com/users/cailun01/gists{/gist_id}", "starred_url": "https://api.github.com/users/cailun01/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/cailun01/subscriptions", "organizations_url": "https://api.github.com/users/cailun01/orgs", "repos_url": "https://api.github.com/users/cailun01/repos", "events_url": "https://api.github.com/users/cailun01/events{/privacy}", "received_events_url": "https://api.github.com/users/cailun01/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892857, "node_id": "MDU6TGFiZWwxOTM1ODkyODU3", "url": "https://api.github.com/repos/huggingface/datasets/labels/bug", "name": "bug", "color": "d73a4a", "default": true, "description": "Something isn't working"}], "state": "closed", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": [], "created_at": 1653448244000, "updated_at": 1653449196000, "closed_at": 1653449196000, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "## Describe the bug\r\nCould not reach wikitext-2-raw-v1.py\r\n\r\n## Steps to reproduce the bug\r\n```python\r\nfrom datasets import load_dataset\r\nload_dataset(\"wikitext-2-raw-v1\")\r\n```\r\n\r\n## Expected results\r\nDownload `wikitext-2-raw-v1` dataset successfully.\r\n\r\n## Actual results\r\n```\r\n File \"load_datasets.py\", line 13, in <module>\r\n load_dataset(\"wikitext-2-raw-v1\")\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/load.py\", line 1715, in load_dataset\r\n **config_kwargs,\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/load.py\", line 1536, in load_dataset_builder\r\n data_files=data_files,\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/load.py\", line 1282, in dataset_module_factory\r\n raise e1 from None\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/load.py\", line 1224, in dataset_module_factory\r\n dynamic_modules_path=dynamic_modules_path,\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/load.py\", line 559, in get_module\r\n local_path = self.download_loading_script(revision)\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/load.py\", line 539, in download_loading_script\r\n return cached_path(file_path, download_config=download_config)\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/utils/file_utils.py\", line 246, in cached_path\r\n download_desc=download_config.download_desc,\r\n File \"/root/miniconda3/lib/python3.6/site-packages/datasets/utils/file_utils.py\", line 582, in get_from_cache\r\n raise ConnectionError(f\"Couldn't reach {url} ({repr(head_error)})\")\r\nConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/2.2.2/datasets/wikitext-2-raw-v1/wikitext-2-raw-v1.py (ReadTimeout(ReadTimeoutError(\"HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=100)\",),))\r\n```\r\nI tried to download wikitext-2-raw-v1.py by chrome and got:\r\n\r\n\r\n## Environment info\r\n<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->\r\n- `datasets` version: 2.2.2\r\n- Platform: CentOS 7\r\n- Python version: 3.6\r\n- PyArrow version: 3.0.0\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4400/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4400/timeline", "performed_via_github_app": null, "state_reason": "completed", "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4399", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4399/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4399/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4399/events", "html_url": "https://github.com/huggingface/datasets/issues/4399", "id": 1246948299, "node_id": "I_kwDODunzps5KUuvL", "number": 4399, "title": "LocalDatasetModuleFactoryWithoutScript extracts invalid builder name", "user": {"login": "apohllo", "id": 40543, "node_id": "MDQ6VXNlcjQwNTQz", "avatar_url": "https://avatars.githubusercontent.com/u/40543?v=4", "gravatar_id": "", "url": "https://api.github.com/users/apohllo", "html_url": "https://github.com/apohllo", "followers_url": "https://api.github.com/users/apohllo/followers", "following_url": "https://api.github.com/users/apohllo/following{/other_user}", "gists_url": "https://api.github.com/users/apohllo/gists{/gist_id}", "starred_url": "https://api.github.com/users/apohllo/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/apohllo/subscriptions", "organizations_url": "https://api.github.com/users/apohllo/orgs", "repos_url": "https://api.github.com/users/apohllo/repos", "events_url": "https://api.github.com/users/apohllo/events{/privacy}", "received_events_url": "https://api.github.com/users/apohllo/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892857, "node_id": "MDU6TGFiZWwxOTM1ODkyODU3", "url": "https://api.github.com/repos/huggingface/datasets/labels/bug", "name": "bug", "color": "d73a4a", "default": true, "description": "Something isn't working"}], "state": "open", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": ["Ok, so\r\n```\r\nos.path.basename(\"/home/user/\")\r\n```\r\ngives `''` while \r\n```\r\nos.path.basename(\"/home/user\")\r\n```\r\ngives `user`. \r\nThe code should check if the last char is a slash.\r\n", "The fix is:\r\n```\r\n\"name\": os.path.basename(self.path[:-1] if self.path[-1] == \"/\" else self.path)\r\n```"], "created_at": 1653415381000, "updated_at": 1653416036000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "## Describe the bug\r\nTrying to load a local dataset raises an error indicating that the config builder has to have a name.\r\nNo error should be reported, since the call is completly valid.\r\n\r\n## Steps to reproduce the bug\r\n```python\r\nload_dataset(\"./data/some-dataset/\", name=\"some-name\")\r\n```\r\n\r\n## Expected results\r\nThe dataset should be loaded.\r\n\r\n## Actual results\r\n```\r\nTraceback (most recent call last):\r\n File \"train_lquad.py\", line 19, in <module>\r\n load(tokenize_target_function, tokenize_target_function, {}, tokenizer)\r\n File \"train_lquad.py\", line 14, in load\r\n dataset = load_dataset(\"./data/lquad/\", name=\"lquad\")\r\n File \"/net/pr2/scratch/people/plgapohl/python-3.8.6/lib/python3.8/site-packages/datasets/load.py\", line 1708, in load_dataset \r\n builder_instance = load_dataset_builder(\r\n File \"/net/pr2/scratch/people/plgapohl/python-3.8.6/lib/python3.8/site-packages/datasets/load.py\", line 1560, in load_dataset_builder \r\n builder_instance: DatasetBuilder = builder_cls(\r\n File \"/net/pr2/scratch/people/plgapohl/python-3.8.6/lib/python3.8/site-packages/datasets/builder.py\", line 269, in __init__ \r\n self.config, self.config_id = self._create_builder_config(\r\n File \"/net/pr2/scratch/people/plgapohl/python-3.8.6/lib/python3.8/site-packages/datasets/builder.py\", line 403, in _create_builder_config \r\n raise ValueError(f\"BuilderConfig must have a name, got {builder_config.name}\")\r\nValueError: BuilderConfig must have a name, got\r\n```\r\n\r\n## Environment info\r\n- `datasets` version: 2.2.2\r\n- Platform: Linux-4.18.0-348.20.1.el8_5.x86_64-x86_64-with-glibc2.2.5\r\n- Python version: 3.8.6\r\n- PyArrow version: 8.0.0\r\n- Pandas version: 1.4.2\r\n\r\nThe error is probably in line 795 in load.py:\r\n\r\n```\r\n builder_kwargs = { \r\n \"hash\": hash,\r\n \"data_files\": data_files,\r\n \"name\": os.path.basename(self.path),\r\n \"base_path\": self.path,\r\n **builder_kwargs,\r\n }\r\n```\r\n\r\n`os.path.basename` for a directory returns an empty string, rather than the name of the directory.\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4399/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4399/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
{"text": "Wall St. Bears Claw Back Into the Black (Reuters) Reuters - Short-sellers, Wall Street's dwindling\\band of ultra-cynics, are seeing green again.", "label": 2} |
{"text": "Carlyle Looks Toward Commercial Aerospace (Reuters) Reuters - Private investment firm Carlyle Group,\\which has a reputation for making well-timed and occasionally\\controversial plays in the defense industry, has quietly placed\\its bets on another part of the market.", "label": 2} |
{"text": "Oil and Economy Cloud Stocks' Outlook (Reuters) Reuters - Soaring crude prices plus worries\\about the economy and the outlook for earnings are expected to\\hang over the stock market next week during the depth of the\\summer doldrums.", "label": 2} |
{"text": "Iraq Halts Oil Exports from Main Southern Pipeline (Reuters) Reuters - Authorities have halted oil export\\flows from the main pipeline in southern Iraq after\\intelligence showed a rebel militia could strike\\infrastructure, an oil official said on Saturday.", "label": 2} |
{"text": "Oil prices soar to all-time record, posing new menace to US economy (AFP) AFP - Tearaway world oil prices, toppling records and straining wallets, present a new economic menace barely three months before the US presidential elections.", "label": 2} |
{"text": "Stocks End Up, But Near Year Lows (Reuters) Reuters - Stocks ended slightly higher on Friday\\but stayed near lows for the year as oil prices surged past #36;46\\a barrel, offsetting a positive outlook from computer maker\\Dell Inc. (DELL.O)", "label": 2} |
{"text": "Money Funds Fell in Latest Week (AP) AP - Assets of the nation's retail money market mutual funds fell by #36;1.17 billion in the latest week to #36;849.98 trillion, the Investment Company Institute said Thursday.", "label": 2} |
{"text": "Fed minutes show dissent over inflation (USATODAY.com) USATODAY.com - Retail sales bounced back a bit in July, and new claims for jobless benefits fell last week, the government said Thursday, indicating the economy is improving from a midsummer slump.", "label": 2} |
{"text": "Safety Net (Forbes.com) Forbes.com - After earning a PH.D. in Sociology, Danny Bazil Riley started to work as the general manager at a commercial real estate firm at an annual base salary of #36;70,000. Soon after, a financial planner stopped by his desk to drop off brochures about insurance benefits available through his employer. But, at 32, \"buying insurance was the furthest thing from my mind,\" says Riley.", "label": 2} |
{"text": "Wall St. Bears Claw Back Into the Black NEW YORK (Reuters) - Short-sellers, Wall Street's dwindling band of ultra-cynics, are seeing green again.", "label": 2} |
{"dataset": "CIFAR-10", "input_resolution": 32, "test_accuracy": 0.9379} |
{"aid": "math9912167", "mid": "1631980677", "abstract": "Author(s): Kuperberg, Greg; Thurston, Dylan P. | Abstract: We give a purely topological definition of the perturbative quantum invariants of links and 3-manifolds associated with Chern-Simons field theory. Our definition is as close as possible to one given by Kontsevich. We will also establish some basic properties of these invariants, in particular that they are universally finite type with respect to algebraically split surgery and with respect to Torelli surgery. Torelli surgery is a mutual generalization of blink surgery of Garoufalidis and Levine and clasper surgery of Habiro.", "related_work": "Two other generalizations that can be considered are invariants of graphs in 3-manifolds, and invariants associated to other flat connections @cite_16 . We will analyze these in future work. Among other things, there should be a general relation between flat bundles and links in 3-manifolds on the one hand and finite covers and branched covers on the other hand @cite_26 .", "ref_abstract": {"cite_N": ["@cite_16", "@cite_26"], "mid": ["2080743555", "1641082372"], "abstract": ["The aim of this paper is to construct new topological invariants of compact oriented 3-manifolds and of framed links in such manifolds. Our invariant of (a link in) a closed oriented 3-manifold is a sequence of complex numbers parametrized by complex roots of 1. For a framed link in S 3 the terms of the sequence are equale to the values of the (suitably parametrized) Jones polynomial of the link in the corresponding roots of 1. In the case of manifolds with boundary our invariant is a (sequence of) finite dimensional complex linear operators. This produces from each root of unity q a 3-dimensional topological quantum field theory", "Recently, Mullins calculated the Casson-Walker invariant of the 2-fold cyclic branched cover of an oriented link in S^3 in terms of its Jones polynomial and its signature, under the assumption that the 2-fold branched cover is a rational homology 3-sphere. Using elementary principles, we provide a similar calculation for the general case. In addition, we calculate the LMO invariant of the p-fold branched cover of twisted knots in S^3 in terms of the Kontsevich integral of the knot."]}} |
{"aid": "cs9910011", "mid": "2168463568", "abstract": "A statistical model for segmentation and word discovery in child directed speech is presented. An incremental unsupervised learning algorithm to infer word boundaries based on this model is described and results of empirical tests showing that the algorithm is competitive with other models that have been used for similar tasks are also presented.", "related_work": "Model Based Dynamic Programming, hereafter referred to as MBDP-1 @cite_0 , is probably the most recent work that addresses the exact same issue as that considered in this paper. Both the approach presented in this paper and Brent's MBDP-1 are based on explicit probability models. Approaches not based on explicit probability models include those based on information theoretic criteria such as MDL , transitional probability or simple recurrent networks . The maximum likelihood approach due to Olivier:SGL68 is probabilistic in the sense that it is geared towards explicitly calculating the most probable segmentation of each block of input utterances. However, it is not based on a formal statistical model. To avoid needless repetition, we only describe Brent's MBDP-1 below and direct the interested reader at Brent:EPS99 which provides an excellent review of many of the algorithms mentioned above.", "ref_abstract": {"cite_N": ["@cite_0"], "mid": ["2949560198"], "abstract": ["We initiate the probabilistic analysis of linear programming (LP) decoding of low-density parity-check (LDPC) codes. Specifically, we show that for a random LDPC code ensemble, the linear programming decoder of Feldman succeeds in correcting a constant fraction of errors with high probability. The fraction of correctable errors guaranteed by our analysis surpasses previous nonasymptotic results for LDPC codes, and in particular, exceeds the best previous finite-length result on LP decoding by a factor greater than ten. This improvement stems in part from our analysis of probabilistic bit-flipping channels, as opposed to adversarial channels. At the core of our analysis is a novel combinatorial characterization of LP decoding success, based on the notion of a flow on the Tanner graph of the code. An interesting by-product of our analysis is to establish the existence of ldquoprobabilistic expansionrdquo in random bipartite graphs, in which one requires only that almost every (as opposed to every) set of a certain size expands, for sets much larger than in the classical worst case setting."]}} |
{"aid": "cs9911003", "mid": "2950670108", "abstract": "We solve the subgraph isomorphism problem in planar graphs in linear time, for any pattern of constant size. Our results are based on a technique of partitioning the planar graph into pieces of small tree-width, and applying dynamic programming within each piece. The same methods can be used to solve other planar graph problems including connectivity, diameter, girth, induced subgraph isomorphism, and shortest paths.", "related_work": "Recently we were able to characterize the graphs that can occur at most @math times as a subgraph isomorph in an @math -vertex planar graph: they are exactly the 3-connected planar graphs @cite_41 . However our proof does not lead to an efficient algorithm for 3-connected planar subgraph isomorphism. In this paper we use different techniques which do not depend on high-order connectivity.", "ref_abstract": {"cite_N": ["@cite_41"], "mid": ["1799262171"], "abstract": ["Given two graphs @math and @math , the Subgraph Isomorphism problem asks if @math is isomorphic to a subgraph of @math . While NP-hard in general, algorithms exist for various parameterized versions of the problem: for example, the problem can be solved (1) in time @math using the color-coding technique of Alon, Yuster, and Zwick; (2) in time @math using Courcelle's Theorem; (3) in time @math using a result on first-order model checking by Frick and Grohe; or (4) in time @math for connected @math using the algorithm of Matou s ek and Thomas. Already this small sample of results shows that the way an algorithm can depend on the parameters is highly nontrivial and subtle. We develop a framework involving 10 relevant parameters for each of @math and @math (such as treewidth, pathwidth, genus, maximum degree, number of vertices, number of components, etc.), and ask if an algorithm with running time [ f_1(p_1,p_2,..., p_ ) n^ f_2(p_ +1 ,..., p_k) ] exist, where each of @math is one of the 10 parameters depending only on @math or @math . We show that all the questions arising in this framework are answered by a set of 11 maximal positive results (algorithms) and a set of 17 maximal negative results (hardness proofs); some of these results already appear in the literature, while others are new in this paper. On the algorithmic side, our study reveals for example that an unexpected combination of bounded degree, genus, and feedback vertex set number of @math gives rise to a highly nontrivial algorithm for Subgraph Isomorphism. On the hardness side, we present W[1]-hardness proofs under extremely restricted conditions, such as when @math is a bounded-degree tree of constant pathwidth and @math is a planar graph of bounded pathwidth."]}} |
{"aid": "cs9903014", "mid": "1612660921", "abstract": "We present an open architecture for just-in-time code generation and dynamic code optimization that is flexible, customizable, and extensible. While previous research has primarily investigated functional aspects of such a system, architectural aspects have so far remained unexplored. In this paper, we argue that these properties are important to generate optimal code for a variety of hardware architectures and different processor generations within processor families. These properties are also important to make system-level code generation useful in practice.", "related_work": "Pioneering research in dynamic runtime optimization was done by Hansen @cite_8 who first described a fully automated system for runtime code optimization. His system was similar in structure to our system---it was composed of a loader, a profiler, and an optimizer---but used profiling data only to decide when to optimize and what to optimize, not how to optimize. Also, his system interpreted code prior to optimization, since load time code generation was too memory and time consuming at the time.", "ref_abstract": {"cite_N": ["@cite_8"], "mid": ["2165006697"], "abstract": ["Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, programs can be adapted to better exploit architectural features, optimize the use of dynamic libraries, and simplify code based on run-time constants. Our profiling system provides a framework for collecting information required for performing run-time optimization. We sample the performance hardware registers available on an Itanium processor, and select a set of code that is likely to lead to important performance-events. We gather distribution information about the performance-events we wish to monitor, and test our traces by estimating the ability for dynamic patching of a program to execute run-time generated traces. Our results show that we are able to capture 58 of execution time across various SPEC2000 integer benchmarks using our profile and patching techniques on a relatively small number of frequently executed execution paths. Our profiling and detection system overhead increases execution time by only 2-4 ."]}} |
{"text": "scikit_learn==1.1.1"} |
{"promptID": 31193, "pairID": "31193n", "premise": "Conceptually cream skimming has two basic dimensions - product and geography.", "premise_binary_parse": "( ( Conceptually ( cream skimming ) ) ( ( has ( ( ( two ( basic dimensions ) ) - ) ( ( product and ) geography ) ) ) . ) )", "premise_parse": "(ROOT (S (NP (JJ Conceptually) (NN cream) (NN skimming)) (VP (VBZ has) (NP (NP (CD two) (JJ basic) (NNS dimensions)) (: -) (NP (NN product) (CC and) (NN geography)))) (. .)))", "hypothesis": "Product and geography are what make cream skimming work. ", "hypothesis_binary_parse": "( ( ( Product and ) geography ) ( ( are ( what ( make ( cream ( skimming work ) ) ) ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (NN Product) (CC and) (NN geography)) (VP (VBP are) (SBAR (WHNP (WP what)) (S (VP (VBP make) (NP (NP (NN cream)) (VP (VBG skimming) (NP (NN work)))))))) (. .)))", "genre": "government", "label": 1} |
{"promptID": 101457, "pairID": "101457e", "premise": "you know during the season and i guess at at your level uh you lose them to the next level if if they decide to recall the the parent team the Braves decide to call to recall a guy from triple A then a double A guy goes up to replace him and a single A guy goes up to replace him", "premise_binary_parse": "( you ( ( know ( during ( ( ( the season ) and ) ( i guess ) ) ) ) ( at ( at ( ( your level ) ( uh ( you ( ( ( lose them ) ( to ( the ( next level ) ) ) ) ( if ( ( if ( they ( decide ( to ( recall ( the ( the ( parent team ) ) ) ) ) ) ) ) ( ( the Braves ) ( decide ( to ( call ( to ( ( recall ( a guy ) ) ( from ( ( triple A ) ( ( ( then ( ( a ( double ( A guy ) ) ) ( ( goes up ) ( to ( replace him ) ) ) ) ) and ) ( ( a ( single ( A guy ) ) ) ( ( goes up ) ( to ( replace him ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )", "premise_parse": "(ROOT (S (NP (PRP you)) (VP (VBP know) (PP (IN during) (NP (NP (DT the) (NN season)) (CC and) (NP (FW i) (FW guess)))) (PP (IN at) (IN at) (NP (NP (PRP$ your) (NN level)) (SBAR (S (INTJ (UH uh)) (NP (PRP you)) (VP (VBP lose) (NP (PRP them)) (PP (TO to) (NP (DT the) (JJ next) (NN level))) (SBAR (IN if) (S (SBAR (IN if) (S (NP (PRP they)) (VP (VBP decide) (S (VP (TO to) (VP (VB recall) (NP (DT the) (DT the) (NN parent) (NN team)))))))) (NP (DT the) (NNPS Braves)) (VP (VBP decide) (S (VP (TO to) (VP (VB call) (S (VP (TO to) (VP (VB recall) (NP (DT a) (NN guy)) (PP (IN from) (NP (NP (RB triple) (DT A)) (SBAR (S (S (ADVP (RB then)) (NP (DT a) (JJ double) (NNP A) (NN guy)) (VP (VBZ goes) (PRT (RP up)) (S (VP (TO to) (VP (VB replace) (NP (PRP him))))))) (CC and) (S (NP (DT a) (JJ single) (NNP A) (NN guy)) (VP (VBZ goes) (PRT (RP up)) (S (VP (TO to) (VP (VB replace) (NP (PRP him))))))))))))))))))))))))))))", "hypothesis": "You lose the things to the following level if the people recall.", "hypothesis_binary_parse": "( You ( ( ( ( lose ( the things ) ) ( to ( the ( following level ) ) ) ) ( if ( ( the people ) recall ) ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (PRP You)) (VP (VBP lose) (NP (DT the) (NNS things)) (PP (TO to) (NP (DT the) (JJ following) (NN level))) (SBAR (IN if) (S (NP (DT the) (NNS people)) (VP (VBP recall))))) (. .)))", "genre": "telephone", "label": 0} |
{"promptID": 134793, "pairID": "134793e", "premise": "One of our number will carry out your instructions minutely.", "premise_binary_parse": "( ( One ( of ( our number ) ) ) ( ( will ( ( ( carry out ) ( your instructions ) ) minutely ) ) . ) )", "premise_parse": "(ROOT (S (NP (NP (CD One)) (PP (IN of) (NP (PRP$ our) (NN number)))) (VP (MD will) (VP (VB carry) (PRT (RP out)) (NP (PRP$ your) (NNS instructions)) (ADVP (RB minutely)))) (. .)))", "hypothesis": "A member of my team will execute your orders with immense precision.", "hypothesis_binary_parse": "( ( ( A member ) ( of ( my team ) ) ) ( ( will ( ( execute ( your orders ) ) ( with ( immense precision ) ) ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (NP (DT A) (NN member)) (PP (IN of) (NP (PRP$ my) (NN team)))) (VP (MD will) (VP (VB execute) (NP (PRP$ your) (NNS orders)) (PP (IN with) (NP (JJ immense) (NN precision))))) (. .)))", "genre": "fiction", "label": 0} |
{"promptID": 37397, "pairID": "37397e", "premise": "How do you know? All this is their information again.", "premise_binary_parse": "( ( How ( ( ( do you ) know ) ? ) ) ( ( All this ) ( ( ( is ( their information ) ) again ) . ) ) )", "premise_parse": "(ROOT (S (SBARQ (WHADVP (WRB How)) (SQ (VBP do) (NP (PRP you)) (VP (VB know))) (. ?)) (NP (PDT All) (DT this)) (VP (VBZ is) (NP (PRP$ their) (NN information)) (ADVP (RB again))) (. .)))", "hypothesis": "This information belongs to them.", "hypothesis_binary_parse": "( ( This information ) ( ( belongs ( to them ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (DT This) (NN information)) (VP (VBZ belongs) (PP (TO to) (NP (PRP them)))) (. .)))", "genre": "fiction", "label": 0} |
{"promptID": 50563, "pairID": "50563n", "premise": "yeah i tell you what though if you go price some of those tennis shoes i can see why now you know they're getting up in the hundred dollar range", "premise_binary_parse": "( yeah ( i ( ( tell you ) ( what ( ( though ( if ( you ( go ( price ( some ( of ( those ( tennis shoes ) ) ) ) ) ) ) ) ) ( i ( can ( see ( why ( now ( you ( know ( they ( 're ( ( getting up ) ( in ( the ( hundred ( dollar range ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )", "premise_parse": "(ROOT (S (VP (VB yeah) (S (NP (FW i)) (VP (VB tell) (NP (PRP you)) (SBAR (WHNP (WP what)) (S (SBAR (RB though) (IN if) (S (NP (PRP you)) (VP (VBP go) (VP (VB price) (NP (NP (DT some)) (PP (IN of) (NP (DT those) (NN tennis) (NNS shoes)))))))) (NP (FW i)) (VP (MD can) (VP (VB see) (SBAR (WHADVP (WRB why)) (S (ADVP (RB now)) (NP (PRP you)) (VP (VBP know) (SBAR (S (NP (PRP they)) (VP (VBP 're) (VP (VBG getting) (PRT (RP up)) (PP (IN in) (NP (DT the) (CD hundred) (NN dollar) (NN range)))))))))))))))))))", "hypothesis": "The tennis shoes have a range of prices.", "hypothesis_binary_parse": "( ( The ( tennis shoes ) ) ( ( have ( ( a range ) ( of prices ) ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (DT The) (NN tennis) (NNS shoes)) (VP (VBP have) (NP (NP (DT a) (NN range)) (PP (IN of) (NP (NNS prices))))) (. .)))", "genre": "telephone", "label": 1} |
{"promptID": 110116, "pairID": "110116e", "premise": "my walkman broke so i'm upset now i just have to turn the stereo up real loud", "premise_binary_parse": "( ( my walkman ) ( broke ( so ( i ( 'm ( upset ( now ( i ( just ( have ( to ( ( turn ( the stereo ) ) ( up ( real loud ) ) ) ) ) ) ) ) ) ) ) ) ) )", "premise_parse": "(ROOT (S (NP (PRP$ my) (NN walkman)) (VP (VBD broke) (SBAR (IN so) (S (NP (FW i)) (VP (VBP 'm) (ADJP (VBN upset) (SBAR (RB now) (S (NP (FW i)) (ADVP (RB just)) (VP (VBP have) (S (VP (TO to) (VP (VB turn) (NP (DT the) (NN stereo)) (ADVP (RB up) (RB real) (JJ loud)))))))))))))))", "hypothesis": "I'm upset that my walkman broke and now I have to turn the stereo up really loud.", "hypothesis_binary_parse": "( ( ( ( I ( 'm ( upset ( that ( ( my walkman ) broke ) ) ) ) ) and ) ( now ( I ( have ( to ( ( turn ( the stereo ) ) ( up ( really loud ) ) ) ) ) ) ) ) . )", "hypothesis_parse": "(ROOT (S (S (NP (PRP I)) (VP (VBP 'm) (ADJP (VBN upset) (SBAR (IN that) (S (NP (PRP$ my) (NN walkman)) (VP (VBD broke))))))) (CC and) (S (ADVP (RB now)) (NP (PRP I)) (VP (VBP have) (S (VP (TO to) (VP (VB turn) (NP (DT the) (NN stereo)) (ADVP (RB up) (RB really) (JJ loud))))))) (. .)))", "genre": "telephone", "label": 0} |
{"promptID": 42487, "pairID": "42487n", "premise": "But a few Christian mosaics survive above the apse is the Virgin with the infant Jesus, with the Archangel Gabriel to the right (his companion Michael, to the left, has vanished save for a few feathers from his wings).", "premise_binary_parse": "( But ( ( a ( few ( Christian mosaics ) ) ) ( ( survive ( above ( ( the apse ) ( ( ( is ( ( the Virgin ) ( with ( the ( infant Jesus ) ) ) ) ) , ) ( with ( ( ( the ( Archangel Gabriel ) ) ( to ( the right ) ) ) ( -LRB- ( ( ( his companion ) ( ( ( ( Michael , ) ( to ( the left ) ) ) , ) ( has ( vanished ( save ( for ( ( a ( few feathers ) ) ( from ( his wings ) ) ) ) ) ) ) ) ) -RRB- ) ) ) ) ) ) ) ) . ) ) )", "premise_parse": "(ROOT (S (CC But) (NP (DT a) (JJ few) (JJ Christian) (NNS mosaics)) (VP (VBP survive) (PP (IN above) (NP (NP (DT the) (NN apse)) (SBAR (S (VP (VBZ is) (NP (NP (DT the) (NN Virgin)) (PP (IN with) (NP (DT the) (JJ infant) (NN Jesus)))) (, ,) (PP (IN with) (NP (NP (DT the) (NNP Archangel) (NNP Gabriel)) (PP (TO to) (NP (DT the) (NN right))) (PRN (-LRB- -LRB-) (NP (NP (PRP$ his) (NN companion)) (SBAR (S (NP (NP (NNP Michael)) (, ,) (PP (TO to) (NP (DT the) (NN left))) (, ,)) (VP (VBZ has) (VP (VBN vanished) (S (VP (VB save) (PP (IN for) (NP (NP (DT a) (JJ few) (NNS feathers)) (PP (IN from) (NP (PRP$ his) (NNS wings)))))))))))) (-RRB- -RRB-)))))))))) (. .)))", "hypothesis": "Most of the Christian mosaics were destroyed by Muslims. ", "hypothesis_binary_parse": "( ( Most ( of ( the ( Christian mosaics ) ) ) ) ( ( were ( destroyed ( by Muslims ) ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (NP (JJS Most)) (PP (IN of) (NP (DT the) (JJ Christian) (NNS mosaics)))) (VP (VBD were) (VP (VBN destroyed) (PP (IN by) (NP (NNPS Muslims))))) (. .)))", "genre": "travel", "label": 1} |
{"promptID": 1069, "pairID": "1069e", "premise": "(Read for Slate 's take on Jackson's findings.)", "premise_binary_parse": "( -LRB- ( ( ( Read ( for ( ( ( Slate 's ) take ) ( on ( ( Jackson 's ) findings ) ) ) ) ) . ) -RRB- ) )", "premise_parse": "(ROOT (S (-LRB- -LRB-) (VP (VB Read) (PP (IN for) (NP (NP (NP (NNP Slate) (POS 's)) (NN take)) (PP (IN on) (NP (NP (NNP Jackson) (POS 's)) (NNS findings)))))) (. .) (-RRB- -RRB-)))", "hypothesis": "Slate had an opinion on Jackson's findings.", "hypothesis_binary_parse": "( Slate ( ( had ( ( an opinion ) ( on ( ( Jackson 's ) findings ) ) ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (NNP Slate)) (VP (VBD had) (NP (NP (DT an) (NN opinion)) (PP (IN on) (NP (NP (NNP Jackson) (POS 's)) (NNS findings))))) (. .)))", "genre": "slate", "label": 0} |
{"promptID": 23505, "pairID": "23505c", "premise": "Gays and lesbians.", "premise_binary_parse": "( ( ( Gays and ) lesbians ) . )", "premise_parse": "(ROOT (NP (NP (NP (NNS Gays)) (CC and) (NP (NNS lesbians))) (. .)))", "hypothesis": "Heterosexuals.", "hypothesis_binary_parse": "( Heterosexuals . )", "hypothesis_parse": "(ROOT (NP (NNS Heterosexuals) (. .)))", "genre": "slate", "label": 2} |
{"promptID": 60529, "pairID": "60529c", "premise": "At the end of Rue des Francs-Bourgeois is what many consider to be the city's most handsome residential square, the Place des Vosges, with its stone and red brick facades.", "premise_binary_parse": "( ( At ( ( the end ) ( of Rue ) ) ) ( ( des Francs-Bourgeois ) ( ( is ( what ( many ( consider ( to ( ( be ( ( ( ( ( the ( city 's ) ) ( ( most handsome ) ( residential square ) ) ) , ) ( the ( Place ( des Vosges ) ) ) ) , ) ) ( with ( its ( stone ( and ( red ( brick facades ) ) ) ) ) ) ) ) ) ) ) ) . ) ) )", "premise_parse": "(ROOT (S (PP (IN At) (NP (NP (DT the) (NN end)) (PP (IN of) (NP (NNP Rue))))) (NP (NNP des) (NNP Francs-Bourgeois)) (VP (VBZ is) (SBAR (WHNP (WP what)) (S (NP (DT many)) (VP (VBP consider) (S (VP (TO to) (VP (VB be) (NP (NP (NP (DT the) (NN city) (POS 's)) (ADJP (RBS most) (JJ handsome)) (JJ residential) (NN square)) (, ,) (NP (DT the) (NNP Place) (NNP des) (NNPS Vosges)) (, ,)) (PP (IN with) (NP (PRP$ its) (NN stone) (CC and) (JJ red) (NN brick) (NNS facades)))))))))) (. .)))", "hypothesis": "Place des Vosges is constructed entirely of gray marble.", "hypothesis_binary_parse": "( ( Place ( des Vosges ) ) ( ( is ( ( constructed entirely ) ( of ( gray marble ) ) ) ) . ) )", "hypothesis_parse": "(ROOT (S (NP (NNP Place) (FW des) (NNP Vosges)) (VP (VBZ is) (VP (VBN constructed) (ADVP (RB entirely)) (PP (IN of) (NP (JJ gray) (NN marble))))) (. .)))", "genre": "travel", "label": 2} |
{"sentence": "According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .", "label": 1} |
{"sentence": "Technopolis plans to develop in stages an area of no less than 100,000 square meters in order to host companies working in computer technologies and telecommunications , the statement said .", "label": 1} |
{"sentence": "The international electronic industry company Elcoteq has laid off tens of employees from its Tallinn facility ; contrary to earlier layoffs the company contracted the ranks of its office workers , the daily Postimees reported .", "label": 0} |
{"sentence": "With the new production plant the company would increase its capacity to meet the expected increase in demand and would improve the use of raw materials and therefore increase the production profitability .", "label": 2} |
{"sentence": "According to the company 's updated strategy for the years 2009-2012 , Basware targets a long-term net sales growth in the range of 20 % -40 % with an operating profit margin of 10 % -20 % of net sales .", "label": 2} |
{"sentence": "FINANCING OF ASPOCOMP 'S GROWTH Aspocomp is aggressively pursuing its growth strategy by increasingly focusing on technologically more demanding HDI printed circuit boards PCBs .", "label": 2} |
{"sentence": "For the last quarter of 2010 , Componenta 's net sales doubled to EUR131m from EUR76m for the same period a year earlier , while it moved to a zero pre-tax profit from a pre-tax loss of EUR7m .", "label": 2} |
{"sentence": "In the third quarter of 2010 , net sales increased by 5.2 % to EUR 205.5 mn , and operating profit by 34.9 % to EUR 23.5 mn .", "label": 2} |
{"sentence": "Operating profit rose to EUR 13.1 mn from EUR 8.7 mn in the corresponding period in 2007 representing 7.7 % of net sales .", "label": 2} |
{"sentence": "Operating profit totalled EUR 21.1 mn , up from EUR 18.6 mn in 2007 , representing 9.7 % of net sales .", "label": 2} |
{"text": "Worth the entertainment value of a rental, especially if you like action movies. This one features the usual car chases, fights with the great Van Damme kick style, shooting battles with the 40 shell load shotgun, and even terrorist style bombs. All of this is entertaining and competently handled but there is nothing that really blows you away if you've seen your share before.<br /><br />The plot is made interesting by the inclusion of a rabbit, which is clever but hardly profound. Many of the characters are heavily stereotyped -- the angry veterans, the terrified illegal aliens, the crooked cops, the indifferent feds, the bitchy tough lady station head, the crooked politician, the fat federale who looks like he was typecast as the Mexican in a Hollywood movie from the 1940s. All passably acted but again nothing special.<br /><br />I thought the main villains were pretty well done and fairly well acted. By the end of the movie you certainly knew who the good guys were and weren't. There was an emotional lift as the really bad ones got their just deserts. Very simplistic, but then you weren't expecting Hamlet, right? The only thing I found really annoying was the constant cuts to VDs daughter during the last fight scene.<br /><br />Not bad. Not good. Passable 4.", "tokens": ["Worth", "the", "entertainment", "value", "of", "a", "rental", ",", "especially", "if", "you", "like", "action", "movies", ".", "This", "one", "features", "the", "usual", "car", "chases", ",", "fights", "with", "the", "great", "Van", "Damme", "kick", "style", ",", "shooting", "battles", "with", "the", "40", "shell", "load", "shotgun", ",", "and", "even", "terrorist", "style", "bombs", ".", "All", "of", "this", "is", "entertaining", "and", "competently", "handled", "but", "there", "is", "nothing", "that", "really", "blows", "you", "away", "if", "you", "'ve", "seen", "your", "share", "before.<br", "/><br", "/>The", "plot", "is", "made", "interesting", "by", "the", "inclusion", "of", "a", "rabbit", ",", "which", "is", "clever", "but", "hardly", "profound", ".", "Many", "of", "the", "characters", "are", "heavily", "stereotyped", "--", "the", "angry", "veterans", ",", "the", "terrified", "illegal", "aliens", ",", "the", "crooked", "cops", ",", "the", "indifferent", "feds", ",", "the", "bitchy", "tough", "lady", "station", "head", ",", "the", "crooked", "politician", ",", "the", "fat", "federale", "who", "looks", "like", "he", "was", "typecast", "as", "the", "Mexican", "in", "a", "Hollywood", "movie", "from", "the", "1940s", ".", "All", "passably", "acted", "but", "again", "nothing", "special.<br", "/><br", "/>I", "thought", "the", "main", "villains", "were", "pretty", "well", "done", "and", "fairly", "well", "acted", ".", "By", "the", "end", "of", "the", "movie", "you", "certainly", "knew", "who", "the", "good", "guys", "were", "and", "were", "n't", ".", "There", "was", "an", "emotional", "lift", "as", "the", "really", "bad", "ones", "got", "their", "just", "deserts", ".", "Very", "simplistic", ",", "but", "then", "you", "were", "n't", "expecting", "Hamlet", ",", "right", "?", "The", "only", "thing", "I", "found", "really", "annoying", "was", "the", "constant", "cuts", "to", "VDs", "daughter", "during", "the", "last", "fight", "scene.<br", "/><br", "/>Not", "bad", ".", "Not", "good", ".", "Passable", "4", "."], "prediction": [{"end": 152, "label": "PERSON", "score": 1.0, "start": 143}, {"end": 193, "label": "CARDINAL", "score": 1.0, "start": 191}, {"end": 749, "label": "NORP", "score": 1.0, "start": 742}, {"end": 764, "label": "GPE", "score": 1.0, "start": 755}, {"end": 785, "label": "DATE", "score": 1.0, "start": 776}, {"end": 1125, "label": "ORG", "score": 1.0, "start": 1119}], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"text": "its a totally average film with a few semi-alright action sequences that make the plot seem a little better and remind the viewer of the classic van dam films. parts of the plot don't make sense and seem to be added in to use up time. the end plot is that of a very basic type that doesn't leave the viewer guessing and any twists are obvious from the beginning. the end scene with the flask backs don't make sense as they are added in and seem to have little relevance to the history of van dam's character. not really worth watching again, bit disappointed in the end production, even though it is apparent it was shot on a low budget certain shots and sections in the film are of poor directed quality", "tokens": ["its", "a", "totally", "average", "film", "with", "a", "few", "semi", "-", "alright", "action", "sequences", "that", "make", "the", "plot", "seem", "a", "little", "better", "and", "remind", "the", "viewer", "of", "the", "classic", "van", "dam", "films", ".", "parts", "of", "the", "plot", "do", "n't", "make", "sense", "and", "seem", "to", "be", "added", "in", "to", "use", "up", "time", ".", "the", "end", "plot", "is", "that", "of", "a", "very", "basic", "type", "that", "does", "n't", "leave", "the", "viewer", "guessing", "and", "any", "twists", "are", "obvious", "from", "the", "beginning", ".", "the", "end", "scene", "with", "the", "flask", "backs", "do", "n't", "make", "sense", "as", "they", "are", "added", "in", "and", "seem", "to", "have", "little", "relevance", "to", "the", "history", "of", "van", "dam", "'s", "character", ".", "not", "really", "worth", "watching", "again", ",", "bit", "disappointed", "in", "the", "end", "production", ",", "even", "though", "it", "is", "apparent", "it", "was", "shot", "on", "a", "low", "budget", "certain", "shots", "and", "sections", "in", "the", "film", "are", "of", "poor", "directed", "quality"], "prediction": [], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"text": "STAR RATING: ***** Saturday Night **** Friday Night *** Friday Morning ** Sunday Night * Monday Morning <br /><br />Former New Orleans homicide cop Jack Robideaux (Jean Claude Van Damme) is re-assigned to Columbus, a small but violent town in Mexico to help the police there with their efforts to stop a major heroin smuggling operation into their town. The culprits turn out to be ex-military, lead by former commander Benjamin Meyers (Stephen Lord, otherwise known as Jase from East Enders) who is using a special method he learned in Afghanistan to fight off his opponents. But Jack has a more personal reason for taking him down, that draws the two men into an explosive final showdown where only one will walk away alive.<br /><br />After Until Death, Van Damme appeared to be on a high, showing he could make the best straight to video films in the action market. While that was a far more drama oriented film, with The Shepherd he has returned to the high-kicking, no brainer action that first made him famous and has sadly produced his worst film since Derailed. It's nowhere near as bad as that film, but what I said still stands.<br /><br />A dull, predictable film, with very little in the way of any exciting action. What little there is mainly consists of some limp fight scenes, trying to look cool and trendy with some cheap slo-mo/sped up effects added to them that sadly instead make them look more desperate. Being a Mexican set film, director Isaac Florentine has tried to give the film a Robert Rodriguez/Desperado sort of feel, but this only adds to the desperation.<br /><br />VD gives a particularly uninspired performance and given he's never been a Robert De Niro sort of actor, that can't be good. As the villain, Lord shouldn't expect to leave the beeb anytime soon. He gets little dialogue at the beginning as he struggles to muster an American accent but gets mysteriously better towards the end. All the supporting cast are equally bland, and do nothing to raise the films spirits at all.<br /><br />This is one shepherd that's strayed right from the flock. *", "tokens": ["STAR", "RATING", ":", "*", "*", "*", "*", "*", "Saturday", "Night", "*", "*", "*", "*", "Friday", "Night", "*", "*", "*", "Friday", "Morning", "*", "*", "Sunday", "Night", "*", "Monday", "Morning", "<", "br", "/><br", "/>Former", "New", "Orleans", "homicide", "cop", "Jack", "Robideaux", "(", "Jean", "Claude", "Van", "Damme", ")", "is", "re", "-", "assigned", "to", "Columbus", ",", "a", "small", "but", "violent", "town", "in", "Mexico", "to", "help", "the", "police", "there", "with", "their", "efforts", "to", "stop", "a", "major", "heroin", "smuggling", "operation", "into", "their", "town", ".", "The", "culprits", "turn", "out", "to", "be", "ex", "-", "military", ",", "lead", "by", "former", "commander", "Benjamin", "Meyers", "(", "Stephen", "Lord", ",", "otherwise", "known", "as", "Jase", "from", "East", "Enders", ")", "who", "is", "using", "a", "special", "method", "he", "learned", "in", "Afghanistan", "to", "fight", "off", "his", "opponents", ".", "But", "Jack", "has", "a", "more", "personal", "reason", "for", "taking", "him", "down", ",", "that", "draws", "the", "two", "men", "into", "an", "explosive", "final", "showdown", "where", "only", "one", "will", "walk", "away", "alive.<br", "/><br", "/>After", "Until", "Death", ",", "Van", "Damme", "appeared", "to", "be", "on", "a", "high", ",", "showing", "he", "could", "make", "the", "best", "straight", "to", "video", "films", "in", "the", "action", "market", ".", "While", "that", "was", "a", "far", "more", "drama", "oriented", "film", ",", "with", "The", "Shepherd", "he", "has", "returned", "to", "the", "high", "-", "kicking", ",", "no", "brainer", "action", "that", "first", "made", "him", "famous", "and", "has", "sadly", "produced", "his", "worst", "film", "since", "Derailed", ".", "It", "'s", "nowhere", "near", "as", "bad", "as", "that", "film", ",", "but", "what", "I", "said", "still", "stands.<br", "/><br", "/>A", "dull", ",", "predictable", "film", ",", "with", "very", "little", "in", "the", "way", "of", "any", "exciting", "action", ".", "What", "little", "there", "is", "mainly", "consists", "of", "some", "limp", "fight", "scenes", ",", "trying", "to", "look", "cool", "and", "trendy", "with", "some", "cheap", "slo", "-", "mo", "/", "sped", "up", "effects", "added", "to", "them", "that", "sadly", "instead", "make", "them", "look", "more", "desperate", ".", "Being", "a", "Mexican", "set", "film", ",", "director", "Isaac", "Florentine", "has", "tried", "to", "give", "the", "film", "a", "Robert", "Rodriguez", "/", "Desperado", "sort", "of", "feel", ",", "but", "this", "only", "adds", "to", "the", "desperation.<br", "/><br", "/>VD", "gives", "a", "particularly", "uninspired", "performance", "and", "given", "he", "'s", "never", "been", "a", "Robert", "De", "Niro", "sort", "of", "actor", ",", "that", "ca", "n't", "be", "good", ".", "As", "the", "villain", ",", "Lord", "should", "n't", "expect", "to", "leave", "the", "beeb", "anytime", "soon", ".", "He", "gets", "little", "dialogue", "at", "the", "beginning", "as", "he", "struggles", "to", "muster", "an", "American", "accent", "but", "gets", "mysteriously", "better", "towards", "the", "end", ".", "All", "the", "supporting", "cast", "are", "equally", "bland", ",", "and", "do", "nothing", "to", "raise", "the", "films", "spirits", "at", "all.<br", "/><br", "/>This", "is", "one", "shepherd", "that", "'s", "strayed", "right", "from", "the", "flock", ".", "*"], "prediction": [{"end": 37, "label": "WORK_OF_ART", "score": 1.0, "start": 19}, {"end": 54, "label": "WORK_OF_ART", "score": 1.0, "start": 39}, {"end": 73, "label": "WORK_OF_ART", "score": 1.0, "start": 56}, {"end": 95, "label": "DATE", "score": 1.0, "start": 89}, {"end": 134, "label": "GPE", "score": 1.0, "start": 123}, {"end": 162, "label": "PERSON", "score": 1.0, "start": 148}, {"end": 185, 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{"text": "First off let me say, If you haven't enjoyed a Van Damme movie since bloodsport, you probably will not like this movie. Most of these movies may not have the best plots or best actors but I enjoy these kinds of movies for what they are. This movie is much better than any of the movies the other action guys (Segal and Dolph) have thought about putting out the past few years. Van Damme is good in the movie, the movie is only worth watching to Van Damme fans. It is not as good as Wake of Death (which i highly recommend to anyone of likes Van Damme) or In hell but, in my opinion it's worth watching. It has the same type of feel to it as Nowhere to Run. Good fun stuff!", "tokens": ["First", "off", "let", "me", "say", ",", "If", "you", "have", "n't", "enjoyed", "a", "Van", "Damme", "movie", "since", "bloodsport", ",", "you", "probably", "will", "not", "like", "this", "movie", ".", "Most", "of", "these", "movies", "may", "not", "have", "the", "best", "plots", "or", "best", "actors", "but", "I", "enjoy", "these", "kinds", "of", "movies", "for", "what", "they", "are", ".", "This", "movie", "is", "much", "better", "than", "any", "of", "the", "movies", "the", "other", "action", "guys", "(", "Segal", "and", "Dolph", ")", "have", "thought", "about", "putting", "out", "the", "past", "few", "years", ".", "Van", "Damme", "is", "good", "in", "the", "movie", ",", "the", "movie", "is", "only", "worth", "watching", "to", "Van", "Damme", "fans", ".", "It", "is", "not", "as", "good", "as", "Wake", "of", "Death", "(", "which", "i", "highly", "recommend", "to", "anyone", "of", "likes", "Van", "Damme", ")", "or", "In", "hell", "but", ",", "in", "my", "opinion", "it", "'s", "worth", "watching", ".", "It", "has", "the", "same", "type", "of", "feel", "to", "it", "as", "Nowhere", "to", "Run", ".", "Good", "fun", "stuff", "!"], "prediction": [{"end": 5, "label": "ORDINAL", "score": 1.0, "start": 0}, {"end": 56, "label": "PERSON", "score": 1.0, "start": 47}, {"end": 324, "label": "GPE", "score": 1.0, "start": 319}, {"end": 375, "label": "DATE", "score": 1.0, "start": 357}, {"end": 386, "label": "PERSON", "score": 1.0, "start": 377}, {"end": 454, "label": "PERSON", "score": 1.0, "start": 445}, {"end": 550, "label": "PERSON", "score": 1.0, "start": 541}], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"text": "I had high hopes for this one until they changed the name to 'The Shepherd : Border Patrol, the lamest movie name ever, what was wrong with just 'The Shepherd'. This is a by the numbers action flick that tips its hat at many classic Van Damme films. There is a nice bit of action in a bar which reminded me of hard target and universal soldier but directed with no intensity or flair which is a shame. There is one great line about 'being p*ss drunk and carrying a rabbit' and some OK action scenes let down by the cheapness of it all. A lot of the times the dialogue doesn't match the characters mouth and the stunt men fall down dead a split second before even being shot. The end fight is one of the better Van Damme fights except the Director tries to go a bit too John Woo and fails also introducing flashbacks which no one really cares about just gets in the way of the action which is the whole point of a van Damme film.<br /><br />Not good, not bad, just average generic action.", "tokens": ["I", "had", "high", "hopes", "for", "this", "one", "until", "they", "changed", "the", "name", "to", "'", "The", "Shepherd", ":", "Border", "Patrol", ",", "the", "lamest", "movie", "name", "ever", ",", "what", "was", "wrong", "with", "just", "'", "The", "Shepherd", "'", ".", "This", "is", "a", "by", "the", "numbers", "action", "flick", "that", "tips", "its", "hat", "at", "many", "classic", "Van", "Damme", "films", ".", "There", "is", "a", "nice", "bit", "of", "action", "in", "a", "bar", "which", "reminded", "me", "of", "hard", "target", "and", "universal", "soldier", "but", "directed", "with", "no", "intensity", "or", "flair", "which", "is", "a", "shame", ".", "There", "is", "one", "great", "line", "about", "'", "being", "p*ss", "drunk", "and", "carrying", "a", "rabbit", "'", "and", "some", "OK", "action", "scenes", "let", "down", "by", "the", "cheapness", "of", "it", "all", ".", "A", "lot", "of", "the", "times", "the", "dialogue", "does", "n't", "match", "the", "characters", "mouth", "and", "the", "stunt", "men", "fall", "down", "dead", "a", "split", "second", "before", "even", "being", "shot", ".", "The", "end", "fight", "is", "one", "of", "the", "better", "Van", "Damme", "fights", "except", "the", "Director", "tries", "to", "go", "a", "bit", "too", "John", "Woo", "and", "fails", "also", "introducing", "flashbacks", "which", "no", "one", "really", "cares", "about", "just", "gets", "in", "the", "way", "of", "the", "action", "which", "is", "the", "whole", "point", "of", "a", "van", "Damme", "film.<br", "/><br", "/>Not", "good", ",", "not", "bad", ",", "just", "average", "generic", "action", "."], "prediction": [{"end": 242, "label": "PRODUCT", "score": 1.0, "start": 225}, {"end": 650, "label": "ORDINAL", "score": 1.0, "start": 644}, {"end": 719, "label": "PERSON", "score": 1.0, "start": 710}, {"end": 777, "label": "PERSON", "score": 1.0, "start": 769}, {"end": 922, "label": "PERSON", "score": 1.0, "start": 911}], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"text": "Isaac Florentine has made some of the best western Martial Arts action movies ever produced. In particular US Seals 2, Cold Harvest, Special Forces and Undisputed 2 are all action classics. You can tell Isaac has a real passion for the genre and his films are always eventful, creative and sharp affairs, with some of the best fight sequences an action fan could hope for. In particular he has found a muse with Scott Adkins, as talented an actor and action performer as you could hope for. This is borne out with Special Forces and Undisputed 2, but unfortunately The Shepherd just doesn't live up to their abilities.<br /><br />There is no doubt that JCVD looks better here fight-wise than he has done in years, especially in the fight he has (for pretty much no reason) in a prison cell, and in the final showdown with Scott, but look in his eyes. JCVD seems to be dead inside. There's nothing in his eyes at all. It's like he just doesn't care about anything throughout the whole film. And this is the leading man.<br /><br />There are other dodgy aspects to the film, script-wise and visually, but the main problem is that you are utterly unable to empathise with the hero of the film. A genuine shame as I know we all wanted this film to be as special as it genuinely could have been. There are some good bits, mostly the action scenes themselves. This film had a terrific director and action choreographer, and an awesome opponent for JCVD to face down. This could have been the one to bring the veteran action star back up to scratch in the balls-out action movie stakes.<br /><br />Sincerely a shame that this didn't happen.", "tokens": ["Isaac", "Florentine", "has", "made", "some", "of", "the", "best", "western", "Martial", "Arts", "action", "movies", "ever", "produced", ".", "In", "particular", "US", "Seals", "2", ",", "Cold", "Harvest", ",", "Special", "Forces", "and", "Undisputed", "2", "are", "all", "action", "classics", ".", "You", "can", "tell", "Isaac", "has", "a", "real", "passion", "for", "the", "genre", "and", "his", "films", "are", "always", "eventful", ",", "creative", "and", "sharp", "affairs", ",", "with", "some", "of", "the", "best", "fight", "sequences", "an", "action", "fan", "could", "hope", "for", ".", "In", "particular", "he", "has", "found", "a", "muse", "with", "Scott", "Adkins", ",", "as", "talented", "an", "actor", "and", "action", "performer", "as", "you", "could", "hope", "for", ".", "This", "is", "borne", "out", "with", "Special", "Forces", "and", "Undisputed", "2", ",", "but", "unfortunately", "The", "Shepherd", "just", "does", "n't", "live", "up", "to", "their", "abilities.<br", "/><br", "/>There", "is", "no", "doubt", "that", "JCVD", "looks", "better", "here", "fight", "-", "wise", "than", "he", "has", "done", "in", "years", ",", "especially", "in", "the", "fight", "he", "has", "(", "for", "pretty", "much", "no", "reason", ")", "in", "a", "prison", "cell", ",", "and", "in", "the", "final", "showdown", "with", "Scott", ",", "but", "look", "in", "his", "eyes", ".", "JCVD", "seems", "to", "be", "dead", "inside", ".", "There", "'s", "nothing", "in", "his", "eyes", "at", "all", ".", "It", "'s", "like", "he", "just", "does", "n't", "care", "about", "anything", "throughout", "the", "whole", "film", ".", "And", "this", "is", "the", "leading", "man.<br", "/><br", "/>There", "are", "other", "dodgy", "aspects", "to", "the", "film", ",", "script", "-", "wise", "and", "visually", ",", "but", "the", "main", "problem", "is", "that", "you", "are", "utterly", "unable", "to", "empathise", "with", "the", "hero", "of", "the", "film", ".", "A", "genuine", "shame", "as", "I", "know", "we", "all", "wanted", "this", "film", "to", "be", "as", "special", "as", "it", "genuinely", "could", "have", "been", ".", "There", "are", "some", "good", "bits", ",", "mostly", "the", "action", "scenes", "themselves", ".", "This", "film", "had", "a", "terrific", "director", "and", "action", "choreographer", ",", "and", "an", "awesome", "opponent", "for", "JCVD", "to", "face", "down", ".", "This", "could", "have", "been", "the", "one", "to", "bring", "the", "veteran", "action", "star", "back", "up", "to", "scratch", "in", "the", "balls", "-", "out", "action", "movie", "stakes.<br", "/><br", "/>Sincerely", "a", "shame", "that", "this", "did", "n't", "happen", "."], "prediction": [{"end": 16, "label": "PERSON", "score": 1.0, "start": 0}, {"end": 63, "label": "ORG", "score": 1.0, "start": 51}, {"end": 109, "label": "GPE", "score": 1.0, "start": 107}, {"end": 131, "label": "PERSON", "score": 1.0, "start": 119}, {"end": 164, "label": "ORG", "score": 1.0, "start": 133}, {"end": 424, "label": "PERSON", "score": 1.0, "start": 412}, {"end": 545, "label": "ORG", "score": 1.0, "start": 514}, {"end": 657, "label": "ORG", "score": 1.0, "start": 653}, {"end": 712, "label": "DATE", "score": 1.0, "start": 707}, {"end": 827, "label": "PERSON", "score": 1.0, "start": 822}, {"end": 855, "label": "ORG", "score": 1.0, "start": 851}, {"end": 1446, "label": "ORG", "score": 1.0, "start": 1442}], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"text": "It actually pains me to say it, but this movie was horrible on every level. The blame does not lie entirely with Van Damme as you can see he tried his best, but let's face it, he's almost fifty, how much more can you ask of him? I find it so hard to believe that the same people who put together Undisputed 2; arguably the best (western) martial arts movie in years, created this. Everything from the plot, to the dialog, to the editing, to the overall acting was just horribly put together and in many cases outright boring and nonsensical. Scott Adkins who's fight scenes seemed more like a demo reel, was also terribly underused and not even the main villain which is such a shame because 1) He is more than capable of playing that role and 2) The actual main villain was not only not intimidating at all but also quite annoying. Again, not blaming Van Damme. I will always be a fan, but avoid this one.", "tokens": ["It", "actually", "pains", "me", "to", "say", "it", ",", "but", "this", "movie", "was", "horrible", "on", "every", "level", ".", "The", "blame", "does", "not", "lie", "entirely", "with", "Van", "Damme", "as", "you", "can", "see", "he", "tried", "his", "best", ",", "but", "let", "'s", "face", "it", ",", "he", "'s", "almost", "fifty", ",", "how", "much", "more", "can", "you", "ask", "of", "him", "?", "I", "find", "it", "so", "hard", "to", "believe", "that", "the", "same", "people", "who", "put", "together", "Undisputed", "2", ";", "arguably", "the", "best", "(", "western", ")", "martial", "arts", "movie", "in", "years", ",", "created", "this", ".", "Everything", "from", "the", "plot", ",", "to", "the", "dialog", ",", "to", "the", "editing", ",", "to", "the", "overall", "acting", "was", "just", "horribly", "put", "together", "and", "in", "many", "cases", "outright", "boring", "and", "nonsensical", ".", "Scott", "Adkins", "who", "'s", "fight", "scenes", "seemed", "more", "like", "a", "demo", "reel", ",", "was", "also", "terribly", "underused", "and", "not", "even", "the", "main", "villain", "which", "is", "such", "a", "shame", "because", "1", ")", "He", "is", "more", "than", "capable", "of", "playing", "that", "role", "and", "2", ")", "The", "actual", "main", "villain", "was", "not", "only", "not", "intimidating", "at", "all", "but", "also", "quite", "annoying", ".", "Again", ",", "not", "blaming", "Van", "Damme", ".", "I", "will", "always", "be", "a", "fan", ",", "but", "avoid", "this", "one", "."], "prediction": [{"end": 122, "label": "PERSON", "score": 1.0, "start": 113}, {"end": 193, "label": "CARDINAL", "score": 1.0, "start": 181}, {"end": 308, "label": "CARDINAL", "score": 1.0, "start": 307}, {"end": 365, "label": "DATE", "score": 1.0, "start": 360}, {"end": 554, "label": "PERSON", "score": 1.0, "start": 542}, {"end": 693, "label": "CARDINAL", "score": 1.0, "start": 692}, {"end": 745, "label": "CARDINAL", "score": 1.0, "start": 744}, {"end": 861, "label": "PERSON", "score": 1.0, "start": 852}], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"text": "Technically I'am a Van Damme Fan, or I was. this movie is so bad that I hated myself for wasting those 90 minutes. Do not let the name Isaac Florentine (Undisputed II) fool you, I had big hopes for this one, depending on what I saw in (Undisputed II), man.. was I wrong ??! all action fans wanted a big comeback for the classic action hero, but i guess we wont be able to see that soon, as our hero keep coming with those (going -to-a-border - far-away-town-and -kill -the-bad-guys- than-comeback- home) movies I mean for God's sake, we are in 2008, and they insist on doing those disappointing movies on every level. Why ??!!! Do your self a favor, skip it.. seriously.", "tokens": ["Technically", "I'am", "a", "Van", "Damme", "Fan", ",", "or", "I", "was", ".", "this", "movie", "is", "so", "bad", "that", "I", "hated", "myself", "for", "wasting", "those", "90", "minutes", ".", "Do", "not", "let", "the", "name", "Isaac", "Florentine", "(", "Undisputed", "II", ")", "fool", "you", ",", "I", "had", "big", "hopes", "for", "this", "one", ",", "depending", "on", "what", "I", "saw", "in", "(", "Undisputed", "II", ")", ",", "man", "..", "was", "I", "wrong", "?", "?", "!", "all", "action", "fans", "wanted", "a", "big", "comeback", "for", "the", "classic", "action", "hero", ",", "but", "i", "guess", "we", "wo", "nt", "be", "able", "to", "see", "that", "soon", ",", "as", "our", "hero", "keep", "coming", "with", "those", "(", "going", "-to", "-", "a", "-", "border", "-", "far", "-", "away", "-", "town", "-", "and", "-kill", "-the", "-", "bad", "-", "guys-", "than", "-", "comeback-", "home", ")", "movies", "I", "mean", "for", "God", "'s", "sake", ",", "we", "are", "in", "2008", ",", "and", "they", "insist", "on", "doing", "those", "disappointing", "movies", "on", "every", "level", ".", "Why", "?", "?", "!", "!", "!", "Do", "your", "self", "a", "favor", ",", "skip", "it", "..", "seriously", "."], "prediction": [{"end": 32, "label": "PERSON", "score": 1.0, "start": 17}, {"end": 113, "label": "TIME", "score": 1.0, "start": 103}, {"end": 151, "label": "PERSON", "score": 1.0, "start": 135}, {"end": 548, "label": "DATE", "score": 1.0, "start": 544}], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"text": "Honestly awful film, bad editing, awful lighting, dire dialog and scrappy screenplay.<br /><br />The lighting at is so bad there's moments you can't even see what's going on, I even tried to playing with the contrast and brightness so I could see something but that didn't help.<br /><br />They must have found the script in a bin, the character development is just as awful and while you hardly expect much from a Jean-Claude Van Damme film this one manages to hit an all time low. You can't even laugh at the cheesy'ness.<br /><br />The directing and editing are also terrible, the whole film follows an extremely tired routine and fails at every turn as it bumbles through the plot that is so weak it's just unreal.<br /><br />There's not a lot else to say other than it's really bad and nothing like Jean-Claude Van Damme's earlier work which you could enjoy.<br /><br />Avoid like the plaque, frankly words fail me in condemning this \"film\".", "tokens": ["Honestly", "awful", "film", ",", "bad", "editing", ",", "awful", "lighting", ",", "dire", "dialog", "and", "scrappy", "screenplay.<br", "/><br", "/>The", "lighting", "at", "is", "so", "bad", "there", "'s", "moments", "you", "ca", "n't", "even", "see", "what", "'s", "going", "on", ",", "I", "even", "tried", "to", "playing", "with", "the", "contrast", "and", "brightness", "so", "I", "could", "see", "something", "but", "that", "did", "n't", "help.<br", "/><br", "/>They", "must", "have", "found", "the", "script", "in", "a", "bin", ",", "the", "character", "development", "is", "just", "as", "awful", "and", "while", "you", "hardly", "expect", "much", "from", "a", "Jean", "-", "Claude", "Van", "Damme", "film", "this", "one", "manages", "to", "hit", "an", "all", "time", "low", ".", "You", "ca", "n't", "even", "laugh", "at", "the", "cheesy'ness.<br", "/><br", "/>The", "directing", "and", "editing", "are", "also", "terrible", ",", "the", "whole", "film", "follows", "an", "extremely", "tired", "routine", "and", "fails", "at", "every", "turn", "as", "it", "bumbles", "through", "the", "plot", "that", "is", "so", "weak", "it", "'s", "just", "unreal.<br", "/><br", "/>There", "'s", "not", "a", "lot", "else", "to", "say", "other", "than", "it", "'s", "really", "bad", "and", "nothing", "like", "Jean", "-", "Claude", "Van", "Damme", "'s", "earlier", "work", "which", "you", "could", "enjoy.<br", "/><br", "/>Avoid", "like", "the", "plaque", ",", "frankly", "words", "fail", "me", "in", "condemning", "this", "\"", "film", "\"", "."], "prediction": [{"end": 827, "label": "PERSON", "score": 1.0, "start": 804}], "prediction_agent": "en_core_web_sm", "annotation": null, "annotation_agent": null, "id": null, "metadata": null, "status": "Default", "event_timestamp": null, "metrics": null} |
{"celex_id": "31975R2481", "title": "Regulation (EEC) No 2481/75 of the Council of 29 September 1975 amending Regulation (EEC) No 2511/69 laying down special measures for improving the production and marketing of Community citrus fruits\n", "text": "REGULATION (EEC) No 2481/75 OF THE COUNCIL of 29 September 1975 amending Regulation (EEC) No 2511/69 laying down special measures for improving the production and marketing of Community citrus fruits\nTHE COUNCIL OF THE EUROPEAN COMMUNITIES\n,\nHaving regard to the Treaty establishing the European Economic Community, and in particular Article 43 thereof;\nHaving regard to the proposal from the Commission;\nHaving regard to the Opinion of the European Parliament (1);\nWhereas Council Regulation (EEC) No 2511/69 (2) of 9 December 1969 laying down special measures for improving the production and marketing of Community citrus fruits, as amended by Regulation (EEC) No 175/73 (3), provides for the granting of additional aid to small farmers to compensate for part of the loss of income caused by replanting;\nWhereas one of the conditions for the granting of this aid is that the area of the undertaking does not exceed five hectares ; whereas, when the total area of the undertaking exceeds five hectares but the area fit for agricultural use does not exceed that limit since the rest of the land is not cultivable, the farmer's economic situation is the same as in the cases mentioned in the Regulation ; whereas all farmers of an area fit for agricultural use not exceeding five hectares should receive identical treatment;\nWhereas Regulation (EEC) No 2511/69 set up in particular a scheme of financial compensation to promote sales of Community-produced oranges and mandarins on Community import markets by means of contracts ensuring regular supplies for these markets;\nWhereas experience has shown that the contractual scheme referred to above has not had the desired results as regards the growth of Community outlets for the products in question ; whereas, moreover, the increase in competition from certain producer third countries can only make it more difficult to market Community-produced citrus fruit on the Community market;\nWhereas to counter these difficulties Regulation (EEC) No 2511/69 should be modified by discontinuing the contractual scheme and increasing the amounts of financial compensation ; whereas this compensation should be extended to include clementines;\nWhereas during the recent marketing years there have also been problems as regards the distribution of Community lemon production on the Community import markets ; whereas, therefore, it is advisable, as a precautionary measure, to grant financial compensation in respect of this product for the remainder of the 1975/76 marketing year;\nWhereas, in order to ensure the effectiveness of such a system, provision should be made for bringing up to date the amounts fixed in respect of oranges, mandarins and clementines, taking into account the trend of the basic and buying-in prices for the products concerned,", "eurovoc_concepts": ["2319", "2713", "2938", "693"]} |
{"celex_id": "31982D0211", "title": "82/211/EEC: Commission Decision of 17 March 1982 establishing that the 'Jodon EA-immersion type X-Y micropositionable photographic plate holder, model MPH- 45W, with beam splitter attenuator, model UBA-200 and parabolic mirrors' may not be imported free of Common Customs Tariff duties\n", "text": "COMMISSION DECISION\nof 17 March 1982\nestablishing that the 'Jodon EA - immersion type X-Y micropositionable photographic plate holder, model MPH-45W, with beam splitter attenuator, model UBA-200 and parabolic mirrors' may not be imported free of Common Customs Tariff duties\n(82/211/EEC)\nTHE COMMISSION OF THE EUROPEAN\nCOMMUNITIES\n,\nHaving regard to the Treaty establishing the European Economic Community,\nHaving regard to Council Regulation (EEC) No 1798/75 of 10 July 1975 on the importation free of Common Customs Tariff duties of educational, scientific and cultural materials (1), as amended by Regulation (EEC) No 1027/79 (2),\nHaving regard to Commission Regulation (EEC) No 2784/79 of 12 December 1979 laying down provisions for the implementation of Regulation (EEC) No 1798/75 (3), and in particular Article 7 thereof,\nWhereas, by letter dated 10 September 1981, the United Kingdom requested the Commission to invoke the procedure provided for in Article 7 of Regulation (EEC) No 2784/79 in order to determine whether or not the 'Jodon EA - immersion type X-Y micropositionable photographic plate holder, model MPH-45W, with beam splitter attenuator, model UBA-200 and parabolic mirrors', intended for use in teaching experimental techiques of holography and related laser-based methods as well as for general research in the same fields, should be considered as a scientific apparatus and, where the reply is in the affirmative, whether apparatus of equivalent scientific value is currently being manufactured in the Community;\nWhereas, in accordance with the provisions of Article 7 (5) of Regulation (EEC) No 2784/79, a group of experts composed of representatives of all the Member States met on 5 February 1982 within the framework of the Committee on Duty-Free Arrangements to examine the matter;\nWhereas this examination showed that the 'Jodon EA - immersion type X-Y micropositionable photographic plate holder, model MPH-45W, with beam splitter attenuator, model UBA-200 and parabolic mirrors', may not be regarded as an instrument or apparatus within the meaning of Article 3 (1) of the aforementioned Regulation (EEC) No 1798/75, but consists in fact of three accessories of a holographic system; whereas the latter must therefore be regarded as 'accessories' within the meaning of Article 3 (2) (a) of the said Regulation; whereas the possibility of granting importation free of duties must therefore be assessed in the light of the provisions of the said Article 3 (2) (a);\nWhereas the accessories in question are not suitable for use with an instrument or apparatus imported free of duties or capable of being so imported; whereas, therefore, the conditions for import free of duties are not fulfilled,", "eurovoc_concepts": ["1091", "3842", "3874", "4110", "4381", "5287"]} |
{"celex_id": "31996D0084", "title": "96/84/Euratom, ECSC, EC: Commission Decision of 8 January 1996 adjusting the weightings applicable from 1 March 1994 to the remuneration of officials of the European Communities serving in third countries\n", "text": "COMMISSION DECISION of 8 January 1996 adjusting the weightings applicable from 1 March 1994 to the remuneration of officials of the European Communities serving in third countries (96/84/Euratom, ECSC, EC)\nTHE COMMISSION OF THE EUROPEAN COMMUNITIES\n,\nHaving regard to the Treaty establishing a Single Council and a Single Commission of the European Communities,\nHaving regard to the Staff Regulations of the Officials of the European Communities and the conditions of employment of other servants of the Communities laid down by Regulation (EEC, Euratom, ECSC) No 259/68 (1), as last amended by Regulation (ECSC, EC, Euratom) No 3161/94 (2), and in particular the second paragraph of Article 13 of Annex X thereto,\nWhereas, pursuant to the first paragraph of Article 13 of Annex X to the Staff Regulations, Council Regulation (EC, Euratom, ECSC) No 2356/95 (3) laid down the weightings to be applied from 1 January 1994 to the remuneration of officials serving in third countries, payable in the currency of their country of employment;\nWhereas the Commission has made a number of adjustments to these weightings in recent months, pursuant to the second paragraph of Article 13 of Annex X to the Staff Regulations (4);\nWhereas some of these weightings should be adjusted with effect from 1 March 1994 given that the statistics available to the Commission show that in certain third countries the variation in the cost of living measured on the basis of the weighting and the corresponding exchange rate has exceeded 5 % since weightings were last laid down,", "eurovoc_concepts": ["1026", "1048", "2300", "3653", "4271", "4390"]} |
{"celex_id": "31998R1298", "title": "Commission Regulation (EC) No 1298/98 of 23 June 1998 amending Regulation (EC) No 577/97 laying down certain detailed rules for the application of Council Regulation (EC) No 2991/94 laying down standards for spreadable fats and of Council Regulation (EEC) No 1898/87 on the protection of designations used in the marketing of milk and milk products (Text with EEA relevance)\n", "text": "COMMISSION REGULATION (EC) No 1298/98 of 23 June 1998 amending Regulation (EC) No 577/97 laying down certain detailed rules for the application of Council Regulation (EC) No 2991/94 laying down standards for spreadable fats and of Council Regulation (EEC) No 1898/87 on the protection of designations used in the marketing of milk and milk products (Text with EEA relevance)\nTHE COMMISSION OF THE EUROPEAN COMMUNITIES\n,\nHaving regard to the Treaty establishing the European Community,\nHaving regard to Council Regulation (EC) No 2991/94 of 5 December 1994 laying down standards for spreadable fats (1), and in particular Article 8 thereof,\nHaving regard to Council Regulation (EEC) No 1898/87 of 2 July 1987 on the protection of designations used in the marketing of milk and milk products (2), as last amended by the Act of Accession of Austria, Finland and Sweden, and in particular Article 4(2) thereof,\nWhereas Commission Regulation (EC) No 577/97 (3), as last amended by Regulation (EC) No 623/98 (4), provides for a period allowing experience to be had of the method for verifying the fat content declaration as described in Annex II, before its application;\nWhereas, to allow for a more detailed examination of the viability of the method in the light of the difficulties notified by the economic operators in implementing it, the date from which the method is to apply must be postponed;\nWhereas the measures provided for in this Regulation are in accordance with the opinion of the Management Committees concerned,", "eurovoc_concepts": ["2081", "239", "2871", "4860", "5573", "893"]} |
{"celex_id": "31986R2503", "title": "Commission Regulation (EEC) No 2503/86 of 5 August 1986 altering the coefficient relating to the differential amounts for colza, rape and sunflower seed\n", "text": "COMMISSION REGULATION (EEC) No 2503/86\nof 5 August 1986\naltering the coefficient relating to the differential amounts for colza, rape and sunflower seed\nTHE COMMISSION OF THE EUROPEAN COMMUNITIES\n,\nHaving regard to the Treaty establishing the European Economic Community,\nHaving regard to Council Regulation No 136/66/EEC of 22 September 1966 on the establishment of a common organization of the market in oils and fats (1), as last amended by Regulation (EEC) No 1454/86 (2),\nHaving regard to Council Regulation (EEC) No 1569/72 of 20 July 1972 laying down special measures for colza, rape and sunflower seed (3), as last amended by Regulation (EEC) No 1474/84 (4), and, in particular, Article 2a (2) thereof,\nWhereas the central rates of the various currencies forming the European Monetary System were altered with effect from 4 August 1986; whereas the coefficient referred to in Article 2a (2) of Regulation (EEC) No 1569/72 must be altered accordingly; whereas such alteration must be applicable with effect from 6 August 1986;\nWhereas the measures provided for in this Regulation are in accordance with the opinion of the Management Committee for Oils and Fats,", "eurovoc_concepts": ["2676", "4472", "6042"]} |
{"celex_id": "32001R2317", "title": "Commission Regulation (EC) No 2317/2001 of 29 November 2001 repealing Regulation (EC) No 743/2001 prohibiting fishing for whiting by vessels flying the flag of Sweden\n", "text": "Commission Regulation (EC) No 2317/2001\nof 29 November 2001\nrepealing Regulation (EC) No 743/2001 prohibiting fishing for whiting by vessels flying the flag of Sweden\nTHE COMMISSION OF THE EUROPEAN COMMUNITIES\n,\nHaving regard to the Treaty establishing the European Community,\nHaving regard to Council Regulation (EEC) No 2847/93 of 12 October 1993 establishing a control system applicable to the common fisheries policy(1), as last amended by Regulation (EC) No 1965/2001(2), and in particular Article 21(3) thereof,\nWhereas:\n(1) Commission Regulation (EC) No 743/2001(3) lays down that fishing for whiting in the waters of Skagerrak and Kattegat by vessels flying the flag of Sweden or registered in Sweden is to be prohibited.\n(2) On 22 October 2001, Denmark transferred to Sweden 50 tonnes of whiting in the waters of Skagerrak and Kattegat. Fishing for whiting in the waters of Skagerrak and Kattegat by vessels flying the flag of Sweden or registered in Sweden should consequently be authorised. Regulation (EC) No 743/2001 should therefore be repealed,", "eurovoc_concepts": ["2282", "2437", "2879", "4320", "4790", "5254"]} |
{"celex_id": "31988R1233", "title": "Commission Regulation (EEC) No 1233/88 of 4 May 1988 on arrangements for imports into Italy of certain textile products (category 36) originating in South Korea\n", "text": "COMMISSION REGULATION (EEC) No 1233/88\nof 4 May 1988\non arrangements for imports into Italy of certain textile products (category 36) originating in South Korea\nTHE COMMISSION OF THE EUROPEAN COMMUNITIES\n,\nHaving regard to the Treaty establishing the European Economic Community,\nHaving regard to Council Regulation (EEC) No 4136/86 of 22 December 1986 on common rules for imports of certain textile products originating in third countries (1), as amended by Regulation (EEC) No 768/88 (2), and in particular Article 11 thereof,\nWhereas Article 11 of Regulation (EEC) No 4136/86 lays down the conditions under which quantitative limits may be established; whereas imports into Italy of textile products of category 36 specified in the Annex hereto and originating in South Korea exceeded the level referred to in paragraph 3 of the said Article 11;\nWhereas, in accordance with paragraph 5 of the said Article 11 of Regulation (EEC) No 4136/86, South Korea was notified on 29 January 1988 of a request for consultations; whereas, as a result of these consultations, it was agreed to make the textile products in question subject to quantitative limits for the years 1988 to 1991;\nWhereas paragraph 13 of the said Article 11 provides for compliance with the quantitative limits to be ensured by means of a double-checking system in accordance with Annex VI to Regulation (EEC) No 4136/86;\nWhereas the products in question exported from South Korea between 1 January 1988 and the date of entry into force of this Regulation must be set off against the quantitative limit for the year 1988;\nWhereas this quantitative limit should not prevent the importation of products covered by it but shipped from South Korea before the date of entry into force of this Regulation;\nWhereas the measures provided for in this Regulation are in accordance with the opinion of the Textile Committee,", "eurovoc_concepts": ["1519", "235", "2783", "3892"]} |
{"Unnamed: 0": 0, "label": 0, "code": " private List<AuthInfo> createAuthInfo(SolrZkClient zkClient) {\n List<AuthInfo> ret = new LinkedList<AuthInfo>();\n\n // In theory the credentials to add could change here if zookeeper hasn't been initialized\n ZkCredentialsProvider credentialsProvider =\n zkClient.getZkClientConnectionStrategy().getZkCredentialsToAddAutomatically();\n for (ZkCredentialsProvider.ZkCredentials zkCredentials : credentialsProvider.getCredentials()) {\n ret.add(new AuthInfo(zkCredentials.getScheme(), zkCredentials.getAuth()));\n }\n return ret;\n }\n }\n}"} |
{"Unnamed: 0": 1, "label": 0, "code": " public String getCharacterEncoding() {\n return characterEncoding;\n }\n\n\n /**\n * Set the character encoding to be used to read the user name and password.\n *\n * @param encoding The name of the encoding to use\n */\n"} |
{"Unnamed: 0": 3, "label": 0, "code": "\tpublic void getAbsolutePathTest() {\n\t\tString absolutePath = FileUtil.getAbsolutePath(\"LICENSE-junit.txt\");\n\t\tAssert.assertNotNull(absolutePath);\n\t\tString absolutePath2 = FileUtil.getAbsolutePath(absolutePath);\n\t\tAssert.assertNotNull(absolutePath2);\n\t\tAssert.assertEquals(absolutePath, absolutePath2);\n\t}\n\n\t@Test\n"} |
{"Unnamed: 0": 4, "label": 0, "code": " private Collection getPcClassLoaders() {\n if (_pcClassLoaders == null)\n _pcClassLoaders = new ConcurrentReferenceHashSet(\n ConcurrentReferenceHashSet.WEAK);\n \n return _pcClassLoaders;\n }\n"} |
{"Unnamed: 0": 5, "label": 0, "code": " public static void main(String argv[]) throws Exception {\n doMain(SimpleSocketServer.class, argv);\n }\n\n"} |
{"Unnamed: 0": 7, "label": 0, "code": "\t\tpublic boolean isConfigured() {\n\t\t\treturn order >= CONFIGURING.order;\n\t\t}\n\t}\n}"} |
{"Unnamed: 0": 8, "label": 0, "code": " protected static final boolean isAlpha(String value) {\n for (int i = 0; i < value.length(); i++) {\n char c = value.charAt(i);\n if (!((c >= 'a' && c <= 'z') || (c >= 'A' && c <= 'Z'))) {\n return false;\n }\n }\n return true;\n }\n\n"} |
{"Unnamed: 0": 9, "label": 0, "code": " public void fail_if_unzipping_stream_outside_target_directory() throws Exception {\n File zip = new File(getClass().getResource(\"ZipUtilsTest/zip-slip.zip\").toURI());\n File toDir = temp.newFolder();\n\n expectedException.expect(IllegalStateException.class);\n expectedException.expectMessage(\"Unzipping an entry outside the target directory is not allowed: ../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../../tmp/evil.txt\");\n\n try (InputStream input = new FileInputStream(zip)) {\n ZipUtils.unzip(input, toDir);\n }\n }\n\n"} |
{"review": "One of the other reviewers has mentioned that after watching just 1 Oz episode you'll be hooked. They are right, as this is exactly what happened with me.<br /><br />The first thing that struck me about Oz was its brutality and unflinching scenes of violence, which set in right from the word GO. Trust me, this is not a show for the faint hearted or timid. This show pulls no punches with regards to drugs, sex or violence. Its is hardcore, in the classic use of the word.<br /><br />It is called OZ as that is the nickname given to the Oswald Maximum Security State Penitentary. It focuses mainly on Emerald City, an experimental section of the prison where all the cells have glass fronts and face inwards, so privacy is not high on the agenda. Em City is home to many..Aryans, Muslims, gangstas, Latinos, Christians, Italians, Irish and more....so scuffles, death stares, dodgy dealings and shady agreements are never far away.<br /><br />I would say the main appeal of the show is due to the fact that it goes where other shows wouldn't dare. Forget pretty pictures painted for mainstream audiences, forget charm, forget romance...OZ doesn't mess around. The first episode I ever saw struck me as so nasty it was surreal, I couldn't say I was ready for it, but as I watched more, I developed a taste for Oz, and got accustomed to the high levels of graphic violence. Not just violence, but injustice (crooked guards who'll be sold out for a nickel, inmates who'll kill on order and get away with it, well mannered, middle class inmates being turned into prison bitches due to their lack of street skills or prison experience) Watching Oz, you may become comfortable with what is uncomfortable viewing....thats if you can get in touch with your darker side.", "sentiment": "positive"} |
{"review": "A wonderful little production. <br /><br />The filming technique is very unassuming- very old-time-BBC fashion and gives a comforting, and sometimes discomforting, sense of realism to the entire piece. <br /><br />The actors are extremely well chosen- Michael Sheen not only \"has got all the polari\" but he has all the voices down pat too! You can truly see the seamless editing guided by the references to Williams' diary entries, not only is it well worth the watching but it is a terrificly written and performed piece. A masterful production about one of the great master's of comedy and his life. <br /><br />The realism really comes home with the little things: the fantasy of the guard which, rather than use the traditional 'dream' techniques remains solid then disappears. It plays on our knowledge and our senses, particularly with the scenes concerning Orton and Halliwell and the sets (particularly of their flat with Halliwell's murals decorating every surface) are terribly well done.", "sentiment": "positive"} |
{"review": "I thought this was a wonderful way to spend time on a too hot summer weekend, sitting in the air conditioned theater and watching a light-hearted comedy. The plot is simplistic, but the dialogue is witty and the characters are likable (even the well bread suspected serial killer). While some may be disappointed when they realize this is not Match Point 2: Risk Addiction, I thought it was proof that Woody Allen is still fully in control of the style many of us have grown to love.<br /><br />This was the most I'd laughed at one of Woody's comedies in years (dare I say a decade?). While I've never been impressed with Scarlet Johanson, in this she managed to tone down her \"sexy\" image and jumped right into a average, but spirited young woman.<br /><br />This may not be the crown jewel of his career, but it was wittier than \"Devil Wears Prada\" and more interesting than \"Superman\" a great comedy to go see with friends.", "sentiment": "positive"} |
{"review": "Basically there's a family where a little boy (Jake) thinks there's a zombie in his closet & his parents are fighting all the time.<br /><br />This movie is slower than a soap opera... and suddenly, Jake decides to become Rambo and kill the zombie.<br /><br />OK, first of all when you're going to make a film you must Decide if its a thriller or a drama! As a drama the movie is watchable. Parents are divorcing & arguing like in real life. And then we have Jake with his closet which totally ruins all the film! I expected to see a BOOGEYMAN similar movie, and instead i watched a drama with some meaningless thriller spots.<br /><br />3 out of 10 just for the well playing parents & descent dialogs. As for the shots with Jake: just ignore them.", "sentiment": "negative"} |
{"review": "Petter Mattei's \"Love in the Time of Money\" is a visually stunning film to watch. Mr. Mattei offers us a vivid portrait about human relations. This is a movie that seems to be telling us what money, power and success do to people in the different situations we encounter. <br /><br />This being a variation on the Arthur Schnitzler's play about the same theme, the director transfers the action to the present time New York where all these different characters meet and connect. Each one is connected in one way, or another to the next person, but no one seems to know the previous point of contact. Stylishly, the film has a sophisticated luxurious look. We are taken to see how these people live and the world they live in their own habitat.<br /><br />The only thing one gets out of all these souls in the picture is the different stages of loneliness each one inhabits. A big city is not exactly the best place in which human relations find sincere fulfillment, as one discerns is the case with most of the people we encounter.<br /><br />The acting is good under Mr. Mattei's direction. Steve Buscemi, Rosario Dawson, Carol Kane, Michael Imperioli, Adrian Grenier, and the rest of the talented cast, make these characters come alive.<br /><br />We wish Mr. Mattei good luck and await anxiously for his next work.", "sentiment": "positive"} |
{"review": "Probably my all-time favorite movie, a story of selflessness, sacrifice and dedication to a noble cause, but it's not preachy or boring. It just never gets old, despite my having seen it some 15 or more times in the last 25 years. Paul Lukas' performance brings tears to my eyes, and Bette Davis, in one of her very few truly sympathetic roles, is a delight. The kids are, as grandma says, more like \"dressed-up midgets\" than children, but that only makes them more fun to watch. And the mother's slow awakening to what's happening in the world and under her own roof is believable and startling. If I had a dozen thumbs, they'd all be \"up\" for this movie.", "sentiment": "positive"} |
{"review": "I sure would like to see a resurrection of a up dated Seahunt series with the tech they have today it would bring back the kid excitement in me.I grew up on black and white TV and Seahunt with Gunsmoke were my hero's every week.You have my vote for a comeback of a new sea hunt.We need a change of pace in TV and this would work for a world of under water adventure.Oh by the way thank you for an outlet like this to view many viewpoints about TV and the many movies.So any ole way I believe I've got what I wanna say.Would be nice to read some more plus points about sea hunt.If my rhymes would be 10 lines would you let me submit,or leave me out to be in doubt and have me to quit,If this is so then I must go so lets do it.", "sentiment": "positive"} |
{"review": "This show was an amazing, fresh & innovative idea in the 70's when it first aired. The first 7 or 8 years were brilliant, but things dropped off after that. By 1990, the show was not really funny anymore, and it's continued its decline further to the complete waste of time it is today.<br /><br />It's truly disgraceful how far this show has fallen. The writing is painfully bad, the performances are almost as bad - if not for the mildly entertaining respite of the guest-hosts, this show probably wouldn't still be on the air. I find it so hard to believe that the same creator that hand-selected the original cast also chose the band of hacks that followed. How can one recognize such brilliance and then see fit to replace it with such mediocrity? I felt I must give 2 stars out of respect for the original cast that made this show such a huge success. As it is now, the show is just awful. I can't believe it's still on the air.", "sentiment": "negative"} |
{"review": "Encouraged by the positive comments about this film on here I was looking forward to watching this film. Bad mistake. I've seen 950+ films and this is truly one of the worst of them - it's awful in almost every way: editing, pacing, storyline, 'acting,' soundtrack (the film's only song - a lame country tune - is played no less than four times). The film looks cheap and nasty and is boring in the extreme. Rarely have I been so happy to see the end credits of a film. <br /><br />The only thing that prevents me giving this a 1-score is Harvey Keitel - while this is far from his best performance he at least seems to be making a bit of an effort. One for Keitel obsessives only.", "sentiment": "negative"} |
{"review": "If you like original gut wrenching laughter you will like this movie. If you are young or old then you will love this movie, hell even my mom liked it.<br /><br />Great Camp!!!", "sentiment": "positive"} |
{"marketplace": "US", "customer_id": "47360648", "review_id": "RDGHV08I3LECC", "product_id": "B01138BGOG", "product_parent": "271105500", "product_title": "Alpine Swiss Men's Lucerne Slip On Loafers", "product_category": "Shoes", "labels": 3, "helpful_votes": 1, "total_votes": 1, "vine": 0, "verified_purchase": 1, "review_headline": "Four Stars", "text": "Good shoe for office work. They will scuff very easy so be aware.", "review_date": "2015-08-23"} |
{"marketplace": "US", "customer_id": "15209903", "review_id": "RG9AROFTEYGZQ", "product_id": "B001IV5BW2", "product_parent": "743402566", "product_title": "Crocs Women's Patricia Miniwedge Sandal", "product_category": "Shoes", "labels": 1, "helpful_votes": 3, "total_votes": 4, "vine": 0, "verified_purchase": 0, "review_headline": "Patricia vs Patricia II shoe Patricia II is a better fit.", "text": "I have had the Patricia II wedge in black for about 1 year & wore them regularly in season. When I saw the Patricia at a good price in navy (from 6pm), I purchased them because I thought they would fit just like my Patricia IIs. I was wrong, and paid the price with return shipping that 6pm doesn't pay.<br /><br />The crocs website says that crocs aren't suppose to fit like other sandals - they are suppose to be looser & thus more comfortable - I normally wear an 8-1/2, so have now tried both an 8 & a 9 in the Patricia shoe (I have an 8 in the Patricia II). The Patricia 9 swims on my feet & they would be a hazard to walk around in. The size 8 fits my left foot (which is my wider foot) but is too narrow on my right foot. When I placed the shoes sole to sole, I did notice a slight difference in the width, which, apparently, my foot notices too. I can only conclude a manufacturing defect. But, it is this shoe specifically or the form for this shoe? (others have written the shoe is narrow).<br /><br />Consequently, if you have a wider foot, order the Patricia II instead of this one & if you are a 1/2 size, order down, not up.", "review_date": "2015-07-10"} |
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