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{"label": 1, "title": "A FIVE STAR BOOK", "content": "I just finished reading Whisper of the Wicked saints. I fell in love with the caracters. I expected an average romance read, but instead I found one of my favorite books of all time. Just when I thought I could predict the outcome I was shocked ! The writting was so descriptive that my heart broke when Julia's did and I felt as if I was there with them instead of just a distant reader. If you are a lover of romance novels then this is a must read. Don't let the cover fool you this book is spectacular!"} |
{"label": 1, "title": "Whispers of the Wicked Saints", "content": "This was a easy to read book that made me want to keep reading on and on, not easy to put down.It left me wanting to read the follow on, which I hope is coming soon. I used to read a lot but have gotten away from it. This book made me want to read again. Very enjoyable."} |
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{"url": "https://api.github.com/repos/huggingface/datasets/issues/3831", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/3831/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/3831/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/3831/events", "html_url": "https://github.com/huggingface/datasets/issues/3831", "id": 1160501000, "node_id": "I_kwDODunzps5FK9cI", "number": 3831, "title": "when using to_tf_dataset with shuffle is true, not all completed batches are made", "user": {"login": "greenned", "id": 42107709, "node_id": "MDQ6VXNlcjQyMTA3NzA5", "avatar_url": "https://avatars.githubusercontent.com/u/42107709?v=4", "gravatar_id": "", "url": "https://api.github.com/users/greenned", "html_url": "https://github.com/greenned", "followers_url": "https://api.github.com/users/greenned/followers", "following_url": "https://api.github.com/users/greenned/following{/other_user}", "gists_url": "https://api.github.com/users/greenned/gists{/gist_id}", "starred_url": "https://api.github.com/users/greenned/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/greenned/subscriptions", "organizations_url": "https://api.github.com/users/greenned/orgs", "repos_url": "https://api.github.com/users/greenned/repos", "events_url": "https://api.github.com/users/greenned/events{/privacy}", "received_events_url": "https://api.github.com/users/greenned/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": {"login": "", "id": 0.0, "node_id": "", "avatar_url": "", "gravatar_id": "", "url": "", "html_url": "", "followers_url": "", "following_url": "", "gists_url": "", "starred_url": "", "subscriptions_url": "", "organizations_url": "", "repos_url": "", "events_url": "", "received_events_url": "", "type": "", "site_admin": false}, "assignees": [], "milestone": null, "comments": [], "created_at": 1646534630000, "updated_at": 1646534673000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": {"url": "", "html_url": "", "diff_url": "", "patch_url": "", "merged_at": 0}, "body": "## Describe the bug\r\nwhen converting a dataset to tf_dataset by using to_tf_dataset with shuffle true, the remainder is not converted to one batch\r\n\r\n## Steps to reproduce the bug\r\nthis is the sample code below\r\nhttps://colab.research.google.com/drive/1_oRXWsR38ElO1EYF9ayFoCU7Ou1AAej4?usp=sharing\r\n\r\n\r\n## Expected results\r\nregardless of shuffle is true or not, 67 rows dataset should be 5 batches when batch size is 16.\r\n\r\n## Actual results\r\n4 batches\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: 1.18.3\r\n- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic\r\n- Python version: 3.7.12\r\n- PyArrow version: 6.0.1\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/3831/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/3831/timeline", "performed_via_github_app": null, "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/3828", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/3828/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/3828/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/3828/events", "html_url": "https://github.com/huggingface/datasets/issues/3828", "id": 1160064029, "node_id": "I_kwDODunzps5FJSwd", "number": 3828, "title": "The Pile's _FEATURE spec seems to be incorrect", "user": {"login": "dlwh", "id": 9633, "node_id": "MDQ6VXNlcjk2MzM=", "avatar_url": "https://avatars.githubusercontent.com/u/9633?v=4", "gravatar_id": "", "url": "https://api.github.com/users/dlwh", "html_url": "https://github.com/dlwh", "followers_url": "https://api.github.com/users/dlwh/followers", "following_url": "https://api.github.com/users/dlwh/following{/other_user}", "gists_url": "https://api.github.com/users/dlwh/gists{/gist_id}", "starred_url": "https://api.github.com/users/dlwh/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/dlwh/subscriptions", "organizations_url": "https://api.github.com/users/dlwh/orgs", "repos_url": "https://api.github.com/users/dlwh/repos", "events_url": "https://api.github.com/users/dlwh/events{/privacy}", "received_events_url": "https://api.github.com/users/dlwh/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": {"login": "", "id": 0.0, "node_id": "", "avatar_url": "", "gravatar_id": "", "url": "", "html_url": "", "followers_url": "", "following_url": "", "gists_url": "", "starred_url": "", "subscriptions_url": "", "organizations_url": "", "repos_url": "", "events_url": "", "received_events_url": "", "type": "", "site_admin": false}, "assignees": [], "milestone": null, "comments": [], "created_at": 1646429132000, "updated_at": 1646429270000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": {"url": "", "html_url": "", "diff_url": "", "patch_url": "", "merged_at": 0}, "body": "## Describe the bug\r\nIf you look at https://huggingface.co/datasets/the_pile/blob/main/the_pile.py:\r\n\r\nFor \"all\"\r\n* the pile_set_name is never set for data\r\n* there's actually an id field inside of \"meta\" \r\n\r\nFor subcorpora pubmed_central and hacker_news:\r\n* the meta is specified to be a string, but it's actually a dict with an id field inside.\r\n\r\n## Steps to reproduce the bug\r\n\r\n\r\n## Expected results\r\nFeature spec should match the data I'd think?\r\n\r\n## Actual results\r\nSpecify the actual results or traceback.\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:\r\n- Platform:\r\n- Python version:\r\n- PyArrow version:\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/3828/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/3828/timeline", "performed_via_github_app": null, "is_pull_request": false} |
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{"url": "https://api.github.com/repos/huggingface/datasets/issues/3826", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/3826/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/3826/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/3826/events", "html_url": "https://github.com/huggingface/datasets/pull/3826", "id": 1159851110, "node_id": "PR_kwDODunzps4z90JU", "number": 3826, "title": "Add IterableDataset.filter", "user": {"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers", "following_url": "https://api.github.com/users/lhoestq/following{/other_user}", "gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}", "starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions", "organizations_url": "https://api.github.com/users/lhoestq/orgs", "repos_url": "https://api.github.com/users/lhoestq/repos", "events_url": "https://api.github.com/users/lhoestq/events{/privacy}", "received_events_url": "https://api.github.com/users/lhoestq/received_events", "type": "User", "site_admin": false}, "labels": [], "state": "open", "locked": false, "assignee": {"login": "", "id": 0.0, "node_id": "", "avatar_url": "", "gravatar_id": "", "url": "", "html_url": "", "followers_url": "", "following_url": "", "gists_url": "", "starred_url": "", "subscriptions_url": "", "organizations_url": "", "repos_url": "", "events_url": "", "received_events_url": "", "type": "", "site_admin": false}, "assignees": [], "milestone": null, "comments": ["The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3826). All of your documentation changes will be reflected on that endpoint."], "created_at": 1646413043000, "updated_at": 1646413387000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": true, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/3826", "html_url": "https://github.com/huggingface/datasets/pull/3826", "diff_url": "https://github.com/huggingface/datasets/pull/3826.diff", "patch_url": "https://github.com/huggingface/datasets/pull/3826.patch", "merged_at": null}, "body": "_Needs https://github.com/huggingface/datasets/pull/3801 to be merged first_\r\n\r\nI added `IterableDataset.filter` with an API that is a subset of `Dataset.filter`:\r\n```python\r\ndef filter(self, function, batched=False, batch_size=1000, with_indices=false, input_columns=None):\r\n```\r\n\r\nTODO:\r\n- [ ] tests\r\n- [ ] docs\r\n\r\nrelated to https://github.com/huggingface/datasets/issues/3444", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/3826/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/3826/timeline", "performed_via_github_app": null, "is_pull_request": true} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/3825", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/3825/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/3825/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/3825/events", "html_url": "https://github.com/huggingface/datasets/pull/3825", "id": 1159802345, "node_id": "PR_kwDODunzps4z9p4b", "number": 3825, "title": "Update version and date in Wikipedia dataset", "user": {"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false}, "labels": [], "state": "closed", "locked": false, "assignee": {"login": "", "id": 0.0, "node_id": "", "avatar_url": "", "gravatar_id": "", "url": "", "html_url": "", "followers_url": "", "following_url": "", "gists_url": "", "starred_url": "", "subscriptions_url": "", "organizations_url": "", "repos_url": "", "events_url": "", "received_events_url": "", "type": "", "site_admin": false}, "assignees": [], "milestone": null, "comments": ["The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3825). All of your documentation changes will be reflected on that endpoint."], "created_at": 1646409927000, "updated_at": 1646414677000, "closed_at": 1646414676000, "author_association": "MEMBER", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/3825", "html_url": "https://github.com/huggingface/datasets/pull/3825", "diff_url": "https://github.com/huggingface/datasets/pull/3825.diff", "patch_url": "https://github.com/huggingface/datasets/pull/3825.patch", "merged_at": 1646414676000}, "body": "CC: @geohci", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/3825/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/3825/timeline", "performed_via_github_app": null, "is_pull_request": true} |
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{"id": 25674, "data": "'Seamless care that revolves around you: more than 4,700 physicians and scientists collaborate across Mayo Clinic campuses in <TARGET_REGION>, Florida and Minnesota. U.S. News & World Report ranks Mayo Clinic as the #1 hospital overall and #1 in more specialties tha'", "label": 0} |
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{"id": 25676, "data": "'dership&pageinfo=%7B%22ph%22%3A600%2C%22vh%22%3A600%2C%22vw%22%3A800%7D&sid=7460&act=cache&cc=JP&ct=<TARGET_REGION>&rc=13&usp_enf=1&usp_status=0&rtusuid=%7B%7D&ssa=1&prid=8PRVCXX19&coppa=0&isRefresh=0&encryptionVers'", "label": 1} |
{"id": 4000, "text": "\nThat depends entirely upon the advertiser whose number you circled.\nRadio Electronics compiles all of the cards, then each advertiser\ngets a computer printout of the names and addresses of all of the readers\nwho circled their number. Some magazines also provide the data on\nself-adhesive labels, and the really big magazines provide the\ndata on computer disk.\n\nThe advertiser decides what to do with the data they get. You will\nnotice that the Radio Electronics information card (commonly called\na \"bingo card\" in the industry) includes lines for a company name\nand a business phone number. My guess would be that the big, national\nadvertisers make a distinction between hobbiests and professionals as\nbest they can. For example, if you include Motorola as your company\nand include a business phone (and a mail stop), Tektronics will probably\nsend you a copy of their hard-bound catalog and have a sales engineer\ncall you about a week later. If you leave it blank, odds are they\nwill send you a slick brochure and direct you to a local retail\noutlet. Medium and small companies are more likely to send you th\ne whole catalog. And then some companies, like Digikey or Jameco, have\nnothing to mail out accept the catalog.\n\nA couple of other interesting points about bingo cards: Free, industry\nmagazines like EDN and such also log your card to their computer. They\nuse the information at least three ways. They note that you really do read\nthe magazine and are more likely to continue your subscription or push\nyou, through repeated mailings, to re-subscribe. They also compile\nhow many people requested which data for their marketing demographics.\nThis way thay can tell a prospective advertiser that \"23% of readers\nrequesting data were interested in capacitors.\" And finally, some\nmagazines rent lists of readers who request certain information. For\nexample, Tektronics can rent a list of everyone who requested information\nabout test equipment OTHER THAN TEKTRONIC's, in the past 6 months.\n\nThe other point, in the data the advertiser receives, many magazines\ninclude how many items you circled on the card. If they want, the\nadvertiser can attempt to cull out the \"literature collectors\" from\nthe serious potential customers.\n\n\"Can you say qualified sales leads? I thought you could.\"\n\nWhat's the BEST way for a hobbiest to deal with bingo cards?\n\n Never circle more than 8 number on the card. If you want more\n than 8 items, use the second card and mail it a couple of\n weeks later.\n\n If you are really, really serious and you really, really want\n the information, CALL THE ADVERTISER AND ASK! This will also\n cut about 15 days off the the response time. Virtually\n everyone takes a voice on the phone more seriously than data\n on a computer printout.\n\n To help insure you keep getting a trade magazine that you're\n not really \"qualified\" for, send in a bingo card at least every\n other month and circle two or three numbers.\n\n Include a business name and phone number, even if it's your house.\n Advertisers almost never call. ", "label": 11, "Generalization": "trimmed_train"} |
{"id": 6270, "text": "For Sale: 1987 Honda XR-100R dirt bike. Bought new from dealer in\n 1989. Ridden only 4 hours, garage kept and well cared for.\n The bike is in MINT condition; perfect size for lady or\n young adult. price: $600 firm. You will not be disappointed.\n Ohio/Kentucky/Indiana inquiries preferred please.\n \n work: (513) - 576-5986. Leave voicemail please.", "label": 5, "Generalization": "trimmed_train"} |
{"id": 4212, "text": "\n\n\nSorry, but this is the biggest load of bunk I've seen in a while. \na) The Pirates have been trying to trade LaValliere for some time now.\nNobody was even vaguely interested.\nb) Several other teams had made it known that they would grab Prince,\nwho was out of options.\nc) LaValliere's release had nothing to do with him being through. He\nwas released, because, in the event of an injury to Slaught,\nLaValliere is no longer capable (they believe) of being the everyday\ncatcher.\n\nSince Slaught is as good against righties as he is against lefties,\nthe offense should actually improve with this move.", "label": 2, "Generalization": "trimmed_train"} |
{"id": 8573, "text": "Source: \"Men Are Like That\" by Leonard Ramsden Hartill. The Bobbs-Merrill\nCompany, Indianapolis (1926). (305 pages). \n(Memoirs of an Armenian officer who participated in the genocide of 2.5 \n million Muslim people)\n\n\np. 204 (first paragraph).\n\n\"I was soon asleep. In the night I was awakened by the persistent crying of\n a child. I arose and went to investigate. A full moon enabled me to make\n my way about and revealed to me all the wreck and litter of the tragedy\n that had been enacted. Guided by the child's crying, I entered the yard of\n a house, which I judged from its appearance must have been the home of a\n Turkish family. There in a corner of the yard I found a women dead. Her\n throat had been cut. Lying on her breast was a small child, a girl about a\n year old.\"\n\n\nSerdar Argic", "label": 6, "Generalization": "trimmed_train"} |
{"id": 8133, "text": "Do you need to get a ROM upgrade to use a 1.4 Mb floppy drive with\na Mac II? Or are there 3rd party drives which work with the Mac II's\nown ROMs?\n\nThanks,\nRalph\n-- \nRalph Gonzalez, Computer Science, Rutgers Univ., Camden, NJ\nPhone: (609) 225-6122; Internet: [email protected]", "label": 14, "Generalization": "trimmed_train"} |
{"id": 8170, "text": "\nYes.\n\n\nPlease describe these \"number of ways\" in detail. Then explain the any\ncontradictions that may arise.\n\n\nDefine \"difficult\".\n\n\nExplain the laws in America stating that you have to drive on the right-\nhand side of the road.\n\n\nSo if every member of the species was homosexual, this wouldn't be destructive\nto the survival of the species?\n\n\nThe whole \"theory\" needs to be reexamined...", "label": 8, "Generalization": "trimmed_train"} |
{"id": 7246, "text": "\n\nWell, some quick math on my part shows that an 8.3MHz bus, 16 bits\nwide, performing a transfer every two clock cycles will provide 8.3M\nbytes/sec. Someone said that it really takes 3 clock cycles to\nperform a transfer, so that reduces the transfer rate to 5.5MB/s,\nwhich is the commonly-used figure for ISA bus speed. However, I\nbelieve a two-clock transfer is possible (0 wait states).", "label": 3, "Generalization": "trimmed_train"} |
{"id": 6837, "text": "\n", "label": 16, "Generalization": "trimmed_train"} |
{"id": 2153, "text": "Fellow netters,\n\nI have an Okidata printer I would like to sell. A description follows:\n\nOkidata 180 printer including cables for both IBM compatibles (Centronics\nparallel) and Commodore (RS-232 - round). Also includes power cable, manual,\nand a handful of computer paper to get you started. This is a 9-pin printer. \nI recently cleaned the printhead and installed a new ribbon. A print sample \ncan be provided upon request. This is a very dependable printer - it never\njams or does \"weird\" things. I have used it with a Commodore for about 3 years\nand am now using it with my 486sx. I use mainly WordPerfect 5.1 (see next\npost) for which I got a driver (at no charge) that directly supports the \nOkidata 180 in Epson FX mode. \n\nWhen I got the printer, it was selling for around $200-220 new (I got mine\nfrom Tenex brand new - for a Christmas present). I would like to get about\n$100 or so for it. If you are interested at all in it, please give me a ring\n(E-Mail) and make an offer.", "label": 5, "Generalization": "trimmed_train"} |
{"id": 5656, "text": "\nonly when the torque converter is not locked up. there are autos out there\nwith converter lock up in 2nd, 3rd and 4th gears.\n\n\nrare.. so are 5 speed autos.. but very real.\n\n\ni think that automatics have advanced far more than manuals.\nespecially in shift intelligence. i say that a smart automatic is\nbetter than the majority of drivers in terms of being in the right\ngear at the right time, which to me is more important than torque\nconverter losses.\n\n\nwho says you can't have your cake and eat it too? a well designed\nshifter will easily facilitate manual, clutchless shifts. i am\nreferring to the much copied mercedes jagged gate. the only\ndepartment where you lose out is in the number of ratios available,\nand of course the converter losses..\n\nif ayrton senna can drive a racecar with fully automatic transmission,\nit can't be half bad.. :-)\n", "label": 4, "Generalization": "trimmed_train"} |
{"comment_id": 47777, "annotator_id": 10873, "platform": 3, "sentiment": 0.0, "respect": 0.0, "insult": 0.0, "humiliate": 0.0, "status": 2.0, "dehumanize": 0.0, "violence": 0.0, "genocide": 0.0, "attack_defend": 0.0, "hatespeech": 0.0, "hate_speech_score": -3.9, "text": "Yes indeed. She sort of reminds me of the elder lady that played the part in the movie \"Titanic\" who was telling her story!!! And I wouldn't have wanted to cover who I really am!! I would be proud!!!! WE should be proud of our race no matter what it is!!", "infitms": 0.81, "outfitms": 1.88, "annotator_severity": 0.36, "std_err": 0.34, "annotator_infitms": 1.35, "annotator_outfitms": 1.23, "hypothesis": -1.1301777576839678, "target_race_asian": true, "target_race_black": true, "target_race_latinx": true, "target_race_middle_eastern": true, "target_race_native_american": true, "target_race_pacific_islander": true, "target_race_white": true, "target_race_other": false, "target_race": true, "target_religion_atheist": false, "target_religion_buddhist": false, "target_religion_christian": false, "target_religion_hindu": false, "target_religion_jewish": false, "target_religion_mormon": false, "target_religion_muslim": false, "target_religion_other": false, "target_religion": false, "target_origin_immigrant": false, "target_origin_migrant_worker": false, "target_origin_specific_country": false, "target_origin_undocumented": false, "target_origin_other": false, "target_origin": false, "target_gender_men": false, "target_gender_non_binary": false, "target_gender_transgender_men": false, "target_gender_transgender_unspecified": false, "target_gender_transgender_women": false, "target_gender_women": false, "target_gender_other": false, "target_gender": false, "target_sexuality_bisexual": false, "target_sexuality_gay": false, "target_sexuality_lesbian": false, "target_sexuality_straight": false, "target_sexuality_other": false, "target_sexuality": false, "target_age_children": false, "target_age_teenagers": false, "target_age_young_adults": false, "target_age_middle_aged": false, "target_age_seniors": false, "target_age_other": false, "target_age": false, "target_disability_physical": false, "target_disability_cognitive": false, "target_disability_neurological": false, "target_disability_visually_impaired": false, "target_disability_hearing_impaired": false, "target_disability_unspecific": false, "target_disability_other": false, "target_disability": false, "annotator_gender": "male", "annotator_trans": "no", "annotator_educ": "college_grad_ba", "annotator_income": "<10k", "annotator_ideology": "neutral", "annotator_gender_men": true, "annotator_gender_women": false, "annotator_gender_non_binary": false, "annotator_gender_prefer_not_to_say": false, "annotator_gender_self_describe": false, "annotator_transgender": false, "annotator_cisgender": true, "annotator_transgender_prefer_not_to_say": false, "annotator_education_some_high_school": false, "annotator_education_high_school_grad": false, "annotator_education_some_college": false, "annotator_education_college_grad_aa": false, "annotator_education_college_grad_ba": true, "annotator_education_professional_degree": false, "annotator_education_masters": false, "annotator_education_phd": false, "annotator_income_<10k": true, "annotator_income_10k-50k": false, "annotator_income_50k-100k": false, "annotator_income_100k-200k": false, "annotator_income_>200k": false, "annotator_ideology_extremeley_conservative": false, "annotator_ideology_conservative": false, "annotator_ideology_slightly_conservative": false, "annotator_ideology_neutral": true, "annotator_ideology_slightly_liberal": false, "annotator_ideology_liberal": false, "annotator_ideology_extremeley_liberal": false, "annotator_ideology_no_opinion": false, "annotator_race_asian": false, "annotator_race_black": false, "annotator_race_latinx": false, "annotator_race_middle_eastern": false, "annotator_race_native_american": false, "annotator_race_pacific_islander": false, "annotator_race_white": true, "annotator_race_other": false, "annotator_age": 25.0, "annotator_religion_atheist": false, "annotator_religion_buddhist": false, "annotator_religion_christian": true, "annotator_religion_hindu": false, "annotator_religion_jewish": false, "annotator_religion_mormon": false, "annotator_religion_muslim": false, "annotator_religion_nothing": false, "annotator_religion_other": false, "annotator_sexuality_bisexual": false, "annotator_sexuality_gay": false, "annotator_sexuality_straight": true, "annotator_sexuality_other": false} |
{"comment_id": 39773, "annotator_id": 2790, "platform": 2, "sentiment": 0.0, "respect": 0.0, "insult": 0.0, "humiliate": 0.0, "status": 2.0, "dehumanize": 0.0, "violence": 0.0, "genocide": 0.0, "attack_defend": 2.0, "hatespeech": 0.0, "hate_speech_score": -6.52, "text": "The trans women reading this tweet right now is beautiful", "infitms": 0.96, "outfitms": 0.43, "annotator_severity": -0.35, "std_err": 1.0, "annotator_infitms": 0.57, "annotator_outfitms": 0.42, "hypothesis": -1.14697343156313, "target_race_asian": false, "target_race_black": false, "target_race_latinx": false, "target_race_middle_eastern": false, "target_race_native_american": false, "target_race_pacific_islander": false, "target_race_white": false, "target_race_other": false, "target_race": false, "target_religion_atheist": false, "target_religion_buddhist": false, "target_religion_christian": false, "target_religion_hindu": false, "target_religion_jewish": false, "target_religion_mormon": false, "target_religion_muslim": false, "target_religion_other": false, "target_religion": false, "target_origin_immigrant": false, "target_origin_migrant_worker": false, "target_origin_specific_country": false, "target_origin_undocumented": false, "target_origin_other": false, "target_origin": false, "target_gender_men": false, "target_gender_non_binary": false, "target_gender_transgender_men": true, "target_gender_transgender_unspecified": false, "target_gender_transgender_women": false, "target_gender_women": false, "target_gender_other": false, "target_gender": true, "target_sexuality_bisexual": false, "target_sexuality_gay": false, "target_sexuality_lesbian": false, "target_sexuality_straight": false, "target_sexuality_other": false, "target_sexuality": false, "target_age_children": false, "target_age_teenagers": false, "target_age_young_adults": false, "target_age_middle_aged": false, "target_age_seniors": false, "target_age_other": false, "target_age": false, "target_disability_physical": false, "target_disability_cognitive": false, "target_disability_neurological": false, "target_disability_visually_impaired": false, "target_disability_hearing_impaired": false, "target_disability_unspecific": false, "target_disability_other": false, "target_disability": false, "annotator_gender": "female", "annotator_trans": "no", "annotator_educ": "some_college", "annotator_income": "<10k", "annotator_ideology": "neutral", "annotator_gender_men": false, "annotator_gender_women": true, "annotator_gender_non_binary": false, "annotator_gender_prefer_not_to_say": false, "annotator_gender_self_describe": false, "annotator_transgender": false, "annotator_cisgender": true, "annotator_transgender_prefer_not_to_say": false, "annotator_education_some_high_school": false, "annotator_education_high_school_grad": false, "annotator_education_some_college": true, "annotator_education_college_grad_aa": false, "annotator_education_college_grad_ba": false, "annotator_education_professional_degree": false, "annotator_education_masters": false, "annotator_education_phd": false, "annotator_income_<10k": true, "annotator_income_10k-50k": false, "annotator_income_50k-100k": false, "annotator_income_100k-200k": false, "annotator_income_>200k": false, "annotator_ideology_extremeley_conservative": false, "annotator_ideology_conservative": false, "annotator_ideology_slightly_conservative": false, "annotator_ideology_neutral": true, "annotator_ideology_slightly_liberal": false, "annotator_ideology_liberal": false, "annotator_ideology_extremeley_liberal": false, "annotator_ideology_no_opinion": false, "annotator_race_asian": false, "annotator_race_black": false, "annotator_race_latinx": false, "annotator_race_middle_eastern": false, "annotator_race_native_american": false, "annotator_race_pacific_islander": false, "annotator_race_white": true, "annotator_race_other": false, "annotator_age": 30.0, "annotator_religion_atheist": false, "annotator_religion_buddhist": false, "annotator_religion_christian": true, "annotator_religion_hindu": false, "annotator_religion_jewish": false, "annotator_religion_mormon": false, "annotator_religion_muslim": false, "annotator_religion_nothing": false, "annotator_religion_other": false, "annotator_sexuality_bisexual": false, "annotator_sexuality_gay": false, "annotator_sexuality_straight": true, "annotator_sexuality_other": false} |
{"comment_id": 47101, "annotator_id": 3379, "platform": 3, "sentiment": 4.0, "respect": 4.0, "insult": 4.0, "humiliate": 4.0, "status": 4.0, "dehumanize": 4.0, "violence": 0.0, "genocide": 0.0, "attack_defend": 4.0, "hatespeech": 2.0, "hate_speech_score": 0.36, "text": "Question: These 4 broads who criticize America, what country did they flee to get here? And now they want to make OUR America like THEIR former HELL HOLE. I don't think so!!!!!!!!!! Let them explain their GRATITUDE for letting them in OUR country.", "infitms": 0.9, "outfitms": 0.74, "annotator_severity": -0.48, "std_err": 0.31, "annotator_infitms": 1.16, "annotator_outfitms": 0.67, "hypothesis": -0.2073693303116617, "target_race_asian": false, "target_race_black": false, "target_race_latinx": false, "target_race_middle_eastern": false, "target_race_native_american": false, "target_race_pacific_islander": false, "target_race_white": false, "target_race_other": false, "target_race": false, "target_religion_atheist": false, "target_religion_buddhist": false, "target_religion_christian": false, "target_religion_hindu": false, "target_religion_jewish": false, "target_religion_mormon": false, "target_religion_muslim": false, "target_religion_other": false, "target_religion": false, "target_origin_immigrant": true, "target_origin_migrant_worker": false, "target_origin_specific_country": false, "target_origin_undocumented": false, "target_origin_other": false, "target_origin": true, "target_gender_men": false, "target_gender_non_binary": false, "target_gender_transgender_men": false, "target_gender_transgender_unspecified": false, "target_gender_transgender_women": false, "target_gender_women": false, "target_gender_other": false, "target_gender": false, "target_sexuality_bisexual": false, "target_sexuality_gay": false, "target_sexuality_lesbian": false, "target_sexuality_straight": false, "target_sexuality_other": false, "target_sexuality": false, "target_age_children": false, "target_age_teenagers": false, "target_age_young_adults": false, "target_age_middle_aged": false, "target_age_seniors": false, "target_age_other": false, "target_age": false, "target_disability_physical": false, "target_disability_cognitive": false, "target_disability_neurological": false, "target_disability_visually_impaired": false, "target_disability_hearing_impaired": false, "target_disability_unspecific": false, "target_disability_other": false, "target_disability": false, "annotator_gender": "male", "annotator_trans": "no", "annotator_educ": "some_college", "annotator_income": "100k-200k", "annotator_ideology": "slightly_conservative", "annotator_gender_men": true, "annotator_gender_women": false, "annotator_gender_non_binary": false, "annotator_gender_prefer_not_to_say": false, "annotator_gender_self_describe": false, "annotator_transgender": false, "annotator_cisgender": true, "annotator_transgender_prefer_not_to_say": false, "annotator_education_some_high_school": false, "annotator_education_high_school_grad": false, "annotator_education_some_college": true, "annotator_education_college_grad_aa": false, "annotator_education_college_grad_ba": false, "annotator_education_professional_degree": false, "annotator_education_masters": false, "annotator_education_phd": false, "annotator_income_<10k": false, "annotator_income_10k-50k": false, "annotator_income_50k-100k": false, "annotator_income_100k-200k": true, "annotator_income_>200k": false, "annotator_ideology_extremeley_conservative": false, "annotator_ideology_conservative": false, "annotator_ideology_slightly_conservative": true, "annotator_ideology_neutral": false, "annotator_ideology_slightly_liberal": false, "annotator_ideology_liberal": false, "annotator_ideology_extremeley_liberal": false, "annotator_ideology_no_opinion": false, "annotator_race_asian": false, "annotator_race_black": false, "annotator_race_latinx": false, "annotator_race_middle_eastern": false, "annotator_race_native_american": false, "annotator_race_pacific_islander": false, "annotator_race_white": true, "annotator_race_other": false, "annotator_age": 41.0, "annotator_religion_atheist": false, "annotator_religion_buddhist": false, "annotator_religion_christian": false, "annotator_religion_hindu": false, "annotator_religion_jewish": false, "annotator_religion_mormon": false, "annotator_religion_muslim": false, "annotator_religion_nothing": true, "annotator_religion_other": false, "annotator_sexuality_bisexual": false, "annotator_sexuality_gay": false, "annotator_sexuality_straight": true, "annotator_sexuality_other": false} |
{"comment_id": 43625, "annotator_id": 7365, "platform": 3, "sentiment": 2.0, "respect": 3.0, "insult": 2.0, "humiliate": 1.0, "status": 2.0, "dehumanize": 0.0, "violence": 0.0, "genocide": 0.0, "attack_defend": 3.0, "hatespeech": 0.0, "hate_speech_score": 0.26, "text": "It is about time for all illegals to go back to their country of origin and keep our freeway open and prevent heavy traffic.", "infitms": 0.81, "outfitms": 0.68, "annotator_severity": 0.86, "std_err": 0.29, "annotator_infitms": 1.18, "annotator_outfitms": 0.87, "hypothesis": -0.05553560451933918, "target_race_asian": false, "target_race_black": false, "target_race_latinx": false, "target_race_middle_eastern": false, "target_race_native_american": false, "target_race_pacific_islander": false, "target_race_white": false, "target_race_other": false, "target_race": false, "target_religion_atheist": false, "target_religion_buddhist": false, "target_religion_christian": false, "target_religion_hindu": false, "target_religion_jewish": false, "target_religion_mormon": false, "target_religion_muslim": false, "target_religion_other": false, "target_religion": false, "target_origin_immigrant": false, "target_origin_migrant_worker": false, "target_origin_specific_country": false, "target_origin_undocumented": true, "target_origin_other": false, "target_origin": true, "target_gender_men": false, "target_gender_non_binary": false, "target_gender_transgender_men": false, "target_gender_transgender_unspecified": false, "target_gender_transgender_women": false, "target_gender_women": false, "target_gender_other": false, "target_gender": false, "target_sexuality_bisexual": false, "target_sexuality_gay": false, "target_sexuality_lesbian": false, "target_sexuality_straight": false, "target_sexuality_other": false, "target_sexuality": false, "target_age_children": false, "target_age_teenagers": false, "target_age_young_adults": false, "target_age_middle_aged": false, "target_age_seniors": false, "target_age_other": false, "target_age": false, "target_disability_physical": false, "target_disability_cognitive": false, "target_disability_neurological": false, "target_disability_visually_impaired": false, "target_disability_hearing_impaired": false, "target_disability_unspecific": false, "target_disability_other": false, "target_disability": false, "annotator_gender": "male", "annotator_trans": "no", "annotator_educ": "high_school_grad", "annotator_income": "10k-50k", "annotator_ideology": "neutral", "annotator_gender_men": true, "annotator_gender_women": false, "annotator_gender_non_binary": false, "annotator_gender_prefer_not_to_say": false, "annotator_gender_self_describe": false, "annotator_transgender": false, "annotator_cisgender": true, "annotator_transgender_prefer_not_to_say": false, "annotator_education_some_high_school": false, "annotator_education_high_school_grad": true, "annotator_education_some_college": false, "annotator_education_college_grad_aa": false, "annotator_education_college_grad_ba": false, "annotator_education_professional_degree": false, "annotator_education_masters": false, "annotator_education_phd": false, "annotator_income_<10k": false, "annotator_income_10k-50k": true, "annotator_income_50k-100k": false, "annotator_income_100k-200k": false, "annotator_income_>200k": false, "annotator_ideology_extremeley_conservative": false, "annotator_ideology_conservative": false, "annotator_ideology_slightly_conservative": false, "annotator_ideology_neutral": true, "annotator_ideology_slightly_liberal": false, "annotator_ideology_liberal": false, "annotator_ideology_extremeley_liberal": false, "annotator_ideology_no_opinion": false, "annotator_race_asian": false, "annotator_race_black": false, "annotator_race_latinx": false, "annotator_race_middle_eastern": false, "annotator_race_native_american": false, "annotator_race_pacific_islander": false, "annotator_race_white": true, "annotator_race_other": false, "annotator_age": 42.0, "annotator_religion_atheist": true, "annotator_religion_buddhist": false, "annotator_religion_christian": false, "annotator_religion_hindu": false, "annotator_religion_jewish": false, "annotator_religion_mormon": false, "annotator_religion_muslim": false, "annotator_religion_nothing": false, "annotator_religion_other": false, "annotator_sexuality_bisexual": false, "annotator_sexuality_gay": false, "annotator_sexuality_straight": true, "annotator_sexuality_other": false} |
{"comment_id": 12538, "annotator_id": 488, "platform": 0, "sentiment": 4.0, "respect": 4.0, "insult": 4.0, "humiliate": 4.0, "status": 4.0, "dehumanize": 4.0, "violence": 4.0, "genocide": 1.0, "attack_defend": 3.0, "hatespeech": 2.0, "hate_speech_score": 1.54, "text": "For starters bend over the one in pink and kick that ass and pussy to get a taste until she's begging for a dick inside her.", "infitms": 0.76, "outfitms": 0.63, "annotator_severity": -0.54, "std_err": 0.51, "annotator_infitms": 0.95, "annotator_outfitms": 1.0, "hypothesis": 0.10422515693299486, "target_race_asian": false, "target_race_black": false, "target_race_latinx": false, "target_race_middle_eastern": false, "target_race_native_american": false, "target_race_pacific_islander": false, "target_race_white": false, "target_race_other": false, "target_race": false, "target_religion_atheist": false, "target_religion_buddhist": false, "target_religion_christian": false, "target_religion_hindu": false, "target_religion_jewish": false, "target_religion_mormon": false, "target_religion_muslim": false, "target_religion_other": false, "target_religion": false, "target_origin_immigrant": false, "target_origin_migrant_worker": false, "target_origin_specific_country": false, "target_origin_undocumented": false, "target_origin_other": false, "target_origin": false, "target_gender_men": false, "target_gender_non_binary": false, "target_gender_transgender_men": false, "target_gender_transgender_unspecified": false, "target_gender_transgender_women": false, "target_gender_women": true, "target_gender_other": false, "target_gender": true, "target_sexuality_bisexual": false, "target_sexuality_gay": false, "target_sexuality_lesbian": false, "target_sexuality_straight": false, "target_sexuality_other": false, "target_sexuality": false, "target_age_children": false, "target_age_teenagers": false, "target_age_young_adults": false, "target_age_middle_aged": false, "target_age_seniors": false, "target_age_other": false, "target_age": false, "target_disability_physical": false, "target_disability_cognitive": false, "target_disability_neurological": false, "target_disability_visually_impaired": false, "target_disability_hearing_impaired": false, "target_disability_unspecific": false, "target_disability_other": false, "target_disability": false, "annotator_gender": "female", "annotator_trans": "no", "annotator_educ": "masters", "annotator_income": "10k-50k", "annotator_ideology": "neutral", "annotator_gender_men": false, "annotator_gender_women": true, "annotator_gender_non_binary": false, "annotator_gender_prefer_not_to_say": false, "annotator_gender_self_describe": false, "annotator_transgender": false, "annotator_cisgender": true, "annotator_transgender_prefer_not_to_say": false, "annotator_education_some_high_school": false, "annotator_education_high_school_grad": false, "annotator_education_some_college": false, "annotator_education_college_grad_aa": false, "annotator_education_college_grad_ba": false, "annotator_education_professional_degree": false, "annotator_education_masters": true, "annotator_education_phd": false, "annotator_income_<10k": false, "annotator_income_10k-50k": true, "annotator_income_50k-100k": false, "annotator_income_100k-200k": false, "annotator_income_>200k": false, "annotator_ideology_extremeley_conservative": false, "annotator_ideology_conservative": false, "annotator_ideology_slightly_conservative": false, "annotator_ideology_neutral": true, "annotator_ideology_slightly_liberal": false, "annotator_ideology_liberal": false, "annotator_ideology_extremeley_liberal": false, "annotator_ideology_no_opinion": false, "annotator_race_asian": false, "annotator_race_black": false, "annotator_race_latinx": false, "annotator_race_middle_eastern": false, "annotator_race_native_american": false, "annotator_race_pacific_islander": false, "annotator_race_white": true, "annotator_race_other": false, "annotator_age": 27.0, "annotator_religion_atheist": false, "annotator_religion_buddhist": false, "annotator_religion_christian": true, "annotator_religion_hindu": false, "annotator_religion_jewish": false, "annotator_religion_mormon": false, "annotator_religion_muslim": false, "annotator_religion_nothing": false, "annotator_religion_other": false, "annotator_sexuality_bisexual": false, "annotator_sexuality_gay": false, "annotator_sexuality_straight": true, "annotator_sexuality_other": false} |
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{"comment_id": 17034, "annotator_id": 6801, "platform": 0, "sentiment": 4.0, "respect": 4.0, "insult": 4.0, "humiliate": 4.0, "status": 4.0, "dehumanize": 0.0, "violence": 0.0, "genocide": 0.0, "attack_defend": 3.0, "hatespeech": 2.0, "hate_speech_score": 2.08, "text": "Fuck off you insufferable retarded faggot.", "infitms": 0.75, "outfitms": 0.96, "annotator_severity": 0.38, "std_err": 0.36, "annotator_infitms": 0.92, "annotator_outfitms": 0.81, "hypothesis": 0.4463116122511849, "target_race_asian": false, "target_race_black": false, "target_race_latinx": false, "target_race_middle_eastern": false, "target_race_native_american": false, "target_race_pacific_islander": false, "target_race_white": false, "target_race_other": false, "target_race": false, "target_religion_atheist": false, "target_religion_buddhist": false, "target_religion_christian": false, "target_religion_hindu": false, "target_religion_jewish": false, "target_religion_mormon": false, "target_religion_muslim": false, "target_religion_other": false, "target_religion": false, "target_origin_immigrant": false, "target_origin_migrant_worker": false, "target_origin_specific_country": false, "target_origin_undocumented": false, "target_origin_other": false, "target_origin": false, "target_gender_men": false, "target_gender_non_binary": false, "target_gender_transgender_men": false, "target_gender_transgender_unspecified": false, "target_gender_transgender_women": false, "target_gender_women": false, "target_gender_other": false, "target_gender": false, "target_sexuality_bisexual": false, "target_sexuality_gay": true, "target_sexuality_lesbian": false, "target_sexuality_straight": false, "target_sexuality_other": false, "target_sexuality": true, "target_age_children": false, "target_age_teenagers": false, "target_age_young_adults": false, "target_age_middle_aged": false, "target_age_seniors": false, "target_age_other": false, "target_age": false, "target_disability_physical": false, "target_disability_cognitive": false, "target_disability_neurological": false, "target_disability_visually_impaired": false, "target_disability_hearing_impaired": false, "target_disability_unspecific": false, "target_disability_other": false, "target_disability": false, "annotator_gender": "male", "annotator_trans": "no", "annotator_educ": "college_grad_ba", "annotator_income": "100k-200k", "annotator_ideology": "extremely_liberal", "annotator_gender_men": true, "annotator_gender_women": false, "annotator_gender_non_binary": false, "annotator_gender_prefer_not_to_say": false, "annotator_gender_self_describe": false, "annotator_transgender": false, "annotator_cisgender": true, "annotator_transgender_prefer_not_to_say": false, "annotator_education_some_high_school": false, "annotator_education_high_school_grad": false, "annotator_education_some_college": false, "annotator_education_college_grad_aa": false, "annotator_education_college_grad_ba": true, "annotator_education_professional_degree": false, "annotator_education_masters": false, "annotator_education_phd": false, "annotator_income_<10k": false, "annotator_income_10k-50k": false, "annotator_income_50k-100k": false, "annotator_income_100k-200k": true, "annotator_income_>200k": false, "annotator_ideology_extremeley_conservative": false, "annotator_ideology_conservative": false, "annotator_ideology_slightly_conservative": false, "annotator_ideology_neutral": false, "annotator_ideology_slightly_liberal": false, "annotator_ideology_liberal": false, "annotator_ideology_extremeley_liberal": false, "annotator_ideology_no_opinion": false, "annotator_race_asian": false, "annotator_race_black": false, "annotator_race_latinx": false, "annotator_race_middle_eastern": false, "annotator_race_native_american": false, "annotator_race_pacific_islander": false, "annotator_race_white": true, "annotator_race_other": false, "annotator_age": 47.0, "annotator_religion_atheist": true, "annotator_religion_buddhist": false, "annotator_religion_christian": false, "annotator_religion_hindu": false, "annotator_religion_jewish": false, "annotator_religion_mormon": false, "annotator_religion_muslim": false, "annotator_religion_nothing": false, "annotator_religion_other": false, "annotator_sexuality_bisexual": false, "annotator_sexuality_gay": false, "annotator_sexuality_straight": true, "annotator_sexuality_other": false} |
{"comment_id": 40171, "annotator_id": 10363, "platform": 3, "sentiment": 4.0, "respect": 4.0, "insult": 4.0, "humiliate": 3.0, "status": 3.0, "dehumanize": 3.0, "violence": 0.0, "genocide": 1.0, "attack_defend": 1.0, "hatespeech": 0.0, "hate_speech_score": -0.66, "text": "OMG! The EGO's of these young, young, inexperienced women display are remarkable! So self absorbed - so, so proud of the mistakes their constituents all made in giving them a bit of power. They'll be quite surprised to find that the vast majority of Americans think that these women represent the very WORST of \"modern\" America. Egos out of control !!", "infitms": 0.92, "outfitms": 0.77, "annotator_severity": -0.99, "std_err": 0.34, "annotator_infitms": 1.3, "annotator_outfitms": 2.08, "hypothesis": -0.19928428178107632, "target_race_asian": false, "target_race_black": false, "target_race_latinx": false, "target_race_middle_eastern": false, "target_race_native_american": false, "target_race_pacific_islander": false, "target_race_white": false, "target_race_other": false, "target_race": false, "target_religion_atheist": false, "target_religion_buddhist": false, "target_religion_christian": false, "target_religion_hindu": false, "target_religion_jewish": false, "target_religion_mormon": false, "target_religion_muslim": false, "target_religion_other": false, "target_religion": false, "target_origin_immigrant": false, "target_origin_migrant_worker": false, "target_origin_specific_country": false, "target_origin_undocumented": false, "target_origin_other": false, "target_origin": false, "target_gender_men": false, "target_gender_non_binary": false, "target_gender_transgender_men": false, "target_gender_transgender_unspecified": false, "target_gender_transgender_women": false, "target_gender_women": true, "target_gender_other": false, "target_gender": true, "target_sexuality_bisexual": false, "target_sexuality_gay": false, "target_sexuality_lesbian": false, "target_sexuality_straight": false, "target_sexuality_other": false, "target_sexuality": false, "target_age_children": false, "target_age_teenagers": false, "target_age_young_adults": false, "target_age_middle_aged": false, "target_age_seniors": false, "target_age_other": false, "target_age": false, "target_disability_physical": false, "target_disability_cognitive": false, "target_disability_neurological": false, "target_disability_visually_impaired": false, "target_disability_hearing_impaired": false, "target_disability_unspecific": false, "target_disability_other": false, "target_disability": false, "annotator_gender": "female", "annotator_trans": "no", "annotator_educ": "college_grad_aa", "annotator_income": "50k-100k", "annotator_ideology": "slightly_conservative", "annotator_gender_men": false, "annotator_gender_women": true, "annotator_gender_non_binary": false, "annotator_gender_prefer_not_to_say": false, "annotator_gender_self_describe": false, "annotator_transgender": false, "annotator_cisgender": true, "annotator_transgender_prefer_not_to_say": false, "annotator_education_some_high_school": false, "annotator_education_high_school_grad": false, "annotator_education_some_college": false, "annotator_education_college_grad_aa": true, "annotator_education_college_grad_ba": false, "annotator_education_professional_degree": false, "annotator_education_masters": false, "annotator_education_phd": false, "annotator_income_<10k": false, "annotator_income_10k-50k": false, "annotator_income_50k-100k": true, "annotator_income_100k-200k": false, "annotator_income_>200k": false, "annotator_ideology_extremeley_conservative": false, "annotator_ideology_conservative": false, "annotator_ideology_slightly_conservative": true, "annotator_ideology_neutral": false, "annotator_ideology_slightly_liberal": false, "annotator_ideology_liberal": false, "annotator_ideology_extremeley_liberal": false, "annotator_ideology_no_opinion": false, "annotator_race_asian": false, "annotator_race_black": false, "annotator_race_latinx": false, "annotator_race_middle_eastern": false, "annotator_race_native_american": false, "annotator_race_pacific_islander": false, "annotator_race_white": true, "annotator_race_other": false, "annotator_age": 35.0, "annotator_religion_atheist": false, "annotator_religion_buddhist": false, "annotator_religion_christian": true, "annotator_religion_hindu": false, "annotator_religion_jewish": false, "annotator_religion_mormon": false, "annotator_religion_muslim": false, "annotator_religion_nothing": false, "annotator_religion_other": false, "annotator_sexuality_bisexual": false, "annotator_sexuality_gay": false, "annotator_sexuality_straight": true, "annotator_sexuality_other": false} |
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{"example_id": 9, "product_locale": "es", "text": "11 degrees </s> 11 degrees trucker cap - black & white </s> 11 degrees </s> black & white </s> es </s>", "labels": 0} |
{"texts": ["Duodenum-preserving pancreatic head resection versus pancreatoduodenectomy for surgical treatment of chronic pancreatitis: a systematic review and meta-analysis.", "\nThe optimal choice of technique for the surgical treatment of pancreatic head lesions in chronic pancreatitis is still under debate. ", "This systematic review and meta-analysis aims to compare the effectiveness and safety of duodenum-preserving pancreatic head resection (DPPHR) versus pancreatoduodenectomy (PD) by means of parameters of mortality and morbidity and functional outcomes and quality of life. ", "A systematic literature search (Medline, Embase, Biosis, The Cochrane Library, and Science Citation Index) was performed to identify randomized controlled trials (RCTs) comparing DPPHR and PD. ", "Included literature was assessed and extracted by 2 independent reviewers. ", "A meta-analysis of pain relief (primary end point), several parameters of short- and long-term measures and quality of life, was done using the random effects-model. ", "In total, 1284 citations were checked for eligibility and 4 RCTs were included. ", "The critical appraisal revealed a heterogeneous methodological quality of included trials. ", "Comparing DPPHR versus PD, postoperative pain relief, overall mortality, and morbidity showed no significant difference. ", "Intraoperative blood replacement, hospital stay, weight gain, exocrine insufficiency, occupational rehabilitation, and quality of life were significantly improved in the DPPHR group. ", "DPPHR and PD seem to be equally effective in terms of postoperative pain relief, overall morbidity, and incidence of postoperative endocrine insufficiency. ", "However, the presented findings suggest superiority of DPPHR in the treatment of chronic pancreatitis with regard to several peri and postoperative outcome parameters and quality of life. ", "Further RCTs are eagerly awaited to prove these findings."], "meta": {"pile_set_name": "PubMed Abstracts"}, "scores": [0.0011033897753804922, 0.0011303540086373687, 0.0007436252199113369, 0.0005575913819484413, 0.000547912553884089, 0.0005722437635995448, 0.0005716452724300325, 0.0005365064716897905, 0.0010717001277953386, 0.0007358154398389161, 0.001616430003196001, 0.0007154355989769101, 0.0006084564956836402], "avg_score": 0.0008085466240747616, "num_sents": 13} |
{"texts": ["First of all, do you actually need ERP (or just \"joined-up business software\" as I like to think of it)? ", "If you need convincing, I suggest that you:\n\nTake an audit of your current information systems and business processes. ", "Do you have multiple systems? ", "Or duplicate data entry? ", "Do you rely on spreadsheets or databases on individual PCs? ", "If so, the chances are that you could benefit from ERP.", "\n\nDo some reading. ", "A search on \"Does a small company need ERP?\" ", "will lead you to supplier-specific articles but also general reviews and advice like this or this.", "\n\n(As I said recently on this forum, if you asked most people at my company the question would be \"Why would you NOT want it?\". ", "But that's easy for us to say - we've been using it (in various guises) for 20 years.)", "\n\nHaving made the decision to go for it, expect to spend several months on your specification and selection project. ", "In our case, it took about 12 months from inception to signing a contract, but you might well be able to do it much faster. ", "What matters more are the stages you go through to arrive at your choice. ", "Here are the ones we used.", "\n\nRequirements gathering\n\nAt every level from shop floor to manager to director, we asked for input. ", "Directors were asked to provide strategic input, highlighting specific aims or directions for the company. ", "Other staff were simply asked for their opinions on the current system. ", "The majority, however, were asked to think in terms of business processes. ", "We asked them to do three things:\n\nIdentify the business processes that take up most of your time.", "\n\nAnalyze the problems, inefficiencies or opportunities for improvement in these processes.", "\n\nDescribe the benefits of changing the process.", "\n\nThe end result was a lengthy User Requirements Document, broken down roughly by business area. ", "From this we distilled a Project Benefits Document highlighting the key areas of improvement. (", "Both of these are essential reference points when you're embroiled in an implementation and can easily forget what it was you set out to achieve!)", "\n\nPre-qualification\n\nBased on our existing knowledge and Internet searches we drew up a list of 18 possible suppliers. ", "We emailed them asking if they wanted to receive a brief questionnaire as the first stage of a selection process. ", "The questionnaire was based on our Project Benefits Document and invited the suppliers to tell us about their company, their product and how it would help us achieve our hoped-for benefits. ", "15 suppliers responded.", "\n\nRequest for proposal\n\nOur RFP documents were unashamedly adapted from templates we found on the Internet. ", "The end results were:\n\nA Word document giving a detailed description of us, our project and our current system, together with information on how the RFP process would work.", "\n\nAn Excel spreadsheet with tabs for supplier information, references, prices and, most importantly, a detailed functional specification covering every area of the system.", "\n\nThe functional spec is critical. ", "Break it down by business areas such as general ledger, accounts payable, purchasing, sales order processing, stock control, etc. ", "Within each area list what you need the software to do. ", "For example, in our Stock Control section we included the following:\n\nSupports the recording of actual cost by product\n\nSupports user-defined Unit of Measures (UOM)\n\nSupports multiple inventory locations and bins per warehouse\n\nFor each criterion we labeled it as Essential or Desirable. ", "The supplier then had to respond with a code indicating how far their system met the requirement (or not). ", "We also gave them a column to enter free text comments.", "\n\nWe allowed the suppliers to send supporting documentation but were insistent that they complete our spreadsheet in detail. ", "We resisted supplier requests to come and see us at this stage.", "\n\nHaving received five responses to the RFP, we used a further spreadsheet to aggregate the scores and give us an overall picture. ", "Based on the functionality score and the price, we put three of the five through to the next stage.", "\n\nDemonstrations\n\nFinally we allowed suppliers to come and see us! ", "But this was not the standard sales presentation; we again required them to demonstrate the product against our specific requirements. ", "We created a script based on our functional spec and expected them to follow it. ", "For each criterion in the script we had staff assigning scores according to whether the product fitted the bill - and how easy it looked to use. ", "The idea was again to try to make the comparison objective as far as we could.", "\n\nThis stage eliminated one supplier and we actually had the other two back for a second visit to look at specific areas of concern.", "\n\nSelection and due diligence\n\nIn the end it was a close-run thing between the final two. ", "And, it has to be said, we deliberately allowed subjective opinion to creep in. ", "No matter what the scores and prices told us, there was still an element of gut reaction involved in the final choice. ", "Nevertheless, we could say with some pride that the process was rigorous and systematic. (", "Apart from anything else, this is a comfort when we hit problems and somebody asks why we chose this particular system!)", "\n\nThe very last stage was that of \"due diligence\" - checking out the preferred supplier by reviewing their accounts, and visiting or speaking to existing customers.", "\n\nWe negotiated a deal, signed a contract - and then the fun began!", "\n\nSummary\n\nChoosing an ERP supplier is about the software and about the supplier. ", "Run a systematic selection process to find the product that best meets your needs. ", "It won't be perfect but you'll greatly increase your chances of a successful implementation and reaping the benefits for your business.", "\n\nAbout Mark Pimperton\n\nMark Pimperton BSc PhD has worked for a small UK electronics manufacturer for over 20 years in areas as diverse as engineering, technical sales, publications, and marketing. ", "He's been involved in IT since 1999, when he project-managed implementation ...\n\nFull Bio\n\nMark Pimperton BSc PhD has worked for a small UK electronics manufacturer for over 20 years in areas as diverse as engineering, technical sales, publications, and marketing. ", "He's been involved in IT since 1999, when he project-managed implementation of a new ERP system, and has been IT Manager since 2008. ", "The first major project he undertook in that role was a second ERP deployment. ", "While still involved in operations, system management, and even a bit of development, Mark is now also responsible for IT risk management. ", "He finds that risk assessment leads to many improvement initiatives, such as a current project to switch from tape backup to disk-based and online backup. ", "Mark is fanatical about documentation, taking special care to record unfamiliar processes. ", "His TechRepublic articles on SSL certificates and PCI DSS compliance are prime examples. ", "Mark is married with two grown-up children."], "meta": {"pile_set_name": "Pile-CC"}, "scores": [0.0006499130977317691, 0.0005618264549411833, 0.001139695756137371, 0.0006737129879184067, 0.0009490082156844437, 0.0006022350280545652, 0.0010369631927460432, 0.00064350530738011, 0.0005273092538118362, 0.0005567340413108468, 0.0005609946674667299, 0.0005536716198548675, 0.0005339907365851104, 0.0006076801801100373, 0.0008324498776346445, 0.0005207509966567159, 0.0005106335156597197, 0.0005383469979278743, 0.0005618269788101315, 0.0005501780542545021, 0.0005923315766267478, 0.0005831303424201906, 0.0005699293687939644, 0.0005239099846221507, 0.0006180064519867301, 0.0005608248757198453, 0.0005117744440212846, 0.0005134695093147457, 0.000678624608553946, 0.0005483542918227613, 0.000524201721418649, 0.0005828458233736455, 0.0005619344301521778, 0.0005970863858237863, 0.0005946417222730815, 0.0005904686986468732, 0.0006551984697580338, 0.0005553486989811063, 0.0005407344433479011, 0.0005163377500139177, 0.0005462475819513202, 0.0006324822315946221, 0.0007750338409096003, 0.0006502083269879222, 0.0005731564597226679, 0.0005354693275876343, 0.0005958805559203029, 0.0005365136312320828, 0.0005906434380449355, 0.0007227653986774385, 0.000581184693146497, 0.0005257020820863545, 0.0005695972940884531, 0.0006816980894654989, 0.0007443551439791918, 0.0005667225923389196, 0.0007192371995188296, 0.000690084183588624, 0.0005816846387460828, 0.0005850242450833321, 0.0005912734195590019, 0.0005964973825030029, 0.0005760157364420593, 0.0006263108225539327, 0.0011170187499374151, 0.0006257446366362274, 0.001889014383777976], "avg_score": 0.0006411365170810205, "num_sents": 67} |
{"texts": ["Q:\n\nThe Sum of Sets\n\nI am looking up Niven http://projecteuclid.org/download/pdf_1/euclid.bams/1183516304 . ", "I have something elementary to ask. ", "\nNow, $A(n) $ denotes the number of integers of A which are not greater than $n$ and \n$d(A) = glb \\frac{A(n)}{n} $\nIn $[3]$ \"The Sum of Sets\", it is stated that the conjecture of Khinchtine was proved by Mann which states $ d(A+B) \\geq d(A) + d(B) $ or $ d(A+B) =1 $ where $A+B$ is the sum of two sequences $A$ and $B$ such that $ a \\in A $ and $ b \\in B$. (I can not find this on google).", "\nHow are the two equivalent? ", "Also, $d(A+B)$ could be less than 1!", "\n\nA:\n\nThere is no claim of equivalence. ", "The result says that at least one of the following holds: (i) $d(A+B)\\ge d(A)+d(B)$ or (ii) $d(A+B)=1$. \nIn other words, \nif $d(A)+d(B)\\lt 1$, then $d(A+B)\\ge d(A)+d(B)$; \nif $d(A)+d(B)\\ge 1$, then $d(A+B)=1$. \n\n"], "meta": {"pile_set_name": "StackExchange"}, "scores": [0.0009706203709356487, 0.0005501529085449874, 0.0019201155519112945, 0.0006865605828352273, 0.006111619994044304, 0.0006584363291040063, 0.00511452741920948], "avg_score": 0.002287433308083564, "num_sents": 7} |
{"texts": ["3 F.3d 444\nGardiner (Alloysius)v.", "Jones (Charlie E.), Attorney General of State of Alabama\nNO. ", "92-6739\nUnited States Court of Appeals,Eleventh Circuit.", "\nAug 23, 1993\nN.D.Ala., ", "996 F.2d 314\n\n1\nDENIALS OF REHEARING EN BANC.", "\n\n"], "meta": {"pile_set_name": "FreeLaw"}, "scores": [0.0008495778311043978, 0.0007046392420306802, 0.0007365120109170675, 0.0007740544388070703, 0.0008499154937453568, 0.0019954426679760218], "avg_score": 0.0009850236140967656, "num_sents": 6} |
{"texts": ["diff -ru nss.org/nss/coreconf/WIN32.mk nss/nss/coreconf/WIN32.mk\n--- a/nss.org/nss/coreconf/WIN32.mk\t2016-02-12 15:36:18.000000000 +0100\n+++ b/nss/nss/coreconf/WIN32.mk\t2016-02-26 00:42:43.170809600 +0100\n@@ -199,7 +199,7 @@\n # Disable C4244: conversion from 'type1' to 'type2', possible loss of data\n # Disable C4018: 'expression' : signed/unsigned mismatch\n # Disable C4312: 'type cast': conversion from 'type1' to 'type2' of greater size\n- OS_CFLAGS += -w44267 -w44244 -w44018 -w44312\n+ OS_CFLAGS += -w44267 -w44244 -w44018 -w44312 -wd4996 -wd4554\n ifeq ($(_MSC_VER_GE_12),1)\n \tOS_CFLAGS += -FS\n endif\n"], "meta": {"pile_set_name": "Github"}, "scores": [0.003616569796577096], "avg_score": 0.003616569796577096, "num_sents": 1} |
{"text": "The scope of orthodontics is to elucidate craniofacial growth, treat predictably the skeletal discrepancies and to align the dentition [1]. To achieve these goals, researchers get motivated to understand the development and function of the bony tissue and the temporomandibular joint (TMJ) alike. It is noteworthy that facial appearance may affect self-esteem [2,3] and quality of life [4], hence the orthodontist seeks either to prevent or diagnose early, and then to tackle the most prominent malformations [5]."} |
{"text": "Treatment in cases of extreme mandibular growth has been a challenge [6,7] and research has focused on the anatomy, histology and function of the TMJ [8,9,10] seeking the trigger of growth [11]. In experiments and in clinical practice, the mandible has been pushed backwards, mainly during the period of growth, for protrusion to alleviate [12,13,14]. Clinical observations of animal TMJs and the consequent suggestions after mandibular displacement have been heterogeneous and contradictory. Others claim potential for TMJ disorders and joint structural alterations due to the generation of parafunctional stress, deemed as traumatic [15,16,17]."} |
{"text": "Mandibular condyle is covered by cartilage, consisting of cellular components in extracellular matrix composed of fibrous (mainly collageneous) elements and proteoglycan aggregate [18]. The unique structure of the condylar cartilage comprises distinct layers [19], capable of adaptive remolding in response to masticatory function and external loading [20,21,22]. The condylar cartilage is mainly a load-bearing structure for induced biomechanical stress and its thickness has been suspected to undergo functional adaptation [23]. The TMJ performs complex hinge and sliding movement [8]. During mastication, compressive, shearing, and other complex forces are exerted on the mandibular condyle [21]."} |
{"text": "Condylar growth is affected by heredity [24,25,26,27], hormones [28,29,30,31,32], the environment [33,34], systemic diseases [35,36,37] and stress [38,39] and is significant in the development of the orofacial complex [40]. Customary mastication consists a physiological stress to the TMJ, of great importance for its development in adolescence and the remodeling in adulthood [41]. The lateral condylar displacement in the glenoid fossa as observed in the therapeutic approach of skeletal discrepancies may culminate in abnormal loading of adjacent structures, affecting the physiologic dynamics of condylar cartilage and triggering the release of growth factors [19,42] and inflammatory mediators [43], to unknown extent and of unspecified clinical significance, a long-standing controversy. "} |
{"text": "Articular dysfunction may have adverse consequences on the potential for remodeling, resulting in histological alterations and changes in condylar volume. As a result, mandibular retrusion may lead to adverse outcomes in cartilage formation, as has been reported in rats, suggesting dysfunction and disarrangement [16,43,44]. However, others claim that TMJ disorder should not be an issue [45]. Clinical investigations of the effect of orthodontic mandibular displacement in humans during treatment of malocclusion have suggested that the results of treatment appear to be achieved mainly by remodeling of the TMJ [17,46,47]."} |
{"text": "The present study aims to review the impact of distal mandibular dislocation on the bony and cartilaginous component of the condyle. Currently, the rat is preferred as experimental model, although earlier studies have studied monkeys as well [48,49]. Additionally, the rabbit [44], the dog and artiodactyl mammals have been proposed as suitable models for studying TMJ dysfunction [50]. The present review comprises studies on rodents (including rabbits) despite existing anatomical and functional differences with humans [51,52]. The present investigation presents potential structural condylar changes due to mandibular distal displacement and aspires to gain further insight on the effect of increased mechanical stimulation on cellular response and growth within the condylar structures. "} |
{"text": "A specific protocol was developed and piloted according to the guidelines in the PRISMA-P statement [53]. The Cochrane Handbook for Systematic Reviews of Interventions [54] and the PRISMA statement [55] were followed."} |
{"text": "Eligibility criteria were formulated according to the PICOS (Participants, Intervention, Comparison, Outcomes and Study design) process (Supplementary Table S1). Relevant research involved healthy animals sustaining backward mandibular displacement. Review and meta-analytic articles were not regarded eligible."} |
{"text": "Three databases (PubMed, Scopus, Web of Science) were used to identify all relevant studies independently of language, date or status of publication. They were searched since inception up to October 2020. Two authors (I.L. and M.A.M.) produced comprehensive search procedures, appropriately modified to tackle nuances in vocabulary and syntax (Supplementary Table S2). "} |
{"context": "This is the most common method of construction procurement and is well established and recognized. In this arrangement, the architect or engineer acts as the project coordinator. His or her role is to design the works, prepare the specifications and produce construction drawings, administer the contract, tender the works, and manage the works from inception to completion. There are direct contractual links between the architect's client and the main contractor. Any subcontractor has a direct contractual relationship with the main contractor. The procedure continues until the building is ready to occupy.", "question": "There are direct contractual links between who?", "answers.text": ["the architect's client and the main contractor", "architect's client and the main contractor", "the architect's client and the main contractor"], "answers.answer_start": [418, 422, 418], "feat_id": ["572753335951b619008f8855", "572753335951b619008f8855", "572753335951b619008f8855"], "feat_title": ["Construction", "Construction", "Construction"], "start_logits": [-1.1044921875, -6.859375, -7.06640625, -6.671875, -6.8203125, -7.3046875, -6.703125, -6.0625, -6.62890625, -2.201171875, -7.4921875, -6.99609375, -6.34375, -6.7734375, -5.87109375, -6.00390625, -7.390625, -5.12109375, -6.2421875, -7.96875, -7.09375, -6.0234375, -6.6796875, -8.046875, -6.6171875, -6.3515625, -6.21875, -7.515625, -6.640625, -7.3515625, -5.7109375, -4.5078125, -7.78125, -5.69921875, -6.63671875, -7.3671875, -6.74609375, -4.328125, -5.58984375, -6.83203125, -6.76171875, 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{"context": "After strengthening his government in northern China, Kublai pursued an expansionist policy in line with the tradition of Mongol and Chinese imperialism. He renewed a massive drive against the Song dynasty to the south. Kublai besieged Xiangyang between 1268 and 1273, the last obstacle in his way to capture the rich Yangzi River basin. An unsuccessful naval expedition was undertaken against Japan in 1274. Kublai captured the Song capital of Hangzhou in 1276, the wealthiest city of China. Song loyalists escaped from the capital and enthroned a young child as Emperor Bing of Song. The Mongols defeated the loyalists at the battle of Yamen in 1279. The last Song emperor drowned, bringing an end to the Song dynasty. The conquest of the Song reunited northern and southern China for the first time in three hundred years.", "question": " What area was Kublai trying to capture by defending Xiangyang?", "answers.text": [""], "answers.answer_start": [-1], "feat_id": ["5ad40432604f3c001a3ffdbd"], "feat_title": ["Yuan_dynasty"], "start_logits": [3.55078125, -7.63671875, -7.45703125, -7.8671875, -7.3515625, -8.3125, -8.15625, -8.3125, -7.21484375, -7.6015625, -7.39453125, -6.69140625, -7.57421875, -7.5546875, -2.142578125, -6.55078125, -5.90234375, -6.01171875, -6.55859375, -6.6953125, -6.0234375, -5.9609375, -6.13671875, -4.8828125, -6.28515625, -5.1796875, -5.6875, -4.875, -6.83984375, -5.59765625, -6.55078125, -6.18359375, -6.484375, -6.5078125, -5.88671875, -7.38671875, -6.06640625, -7.1875, -6.4296875, -5.08203125, -6.3046875, -6.19140625, -5.43359375, -5.26171875, -5.03125, -4.9296875, -5.4609375, -5.2109375, -5.34765625, -5.8671875, -5.8828125, -6.7265625, -5.96484375, -5.109375, -4.67578125, 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Bell.", "question": "Where is the home of the Sunnyside Country Club?", "answers.text": ["Sunnyside", "Sunnyside", "Sunnyside"], "answers.answer_start": [438, 190, 190], "feat_id": ["5725db98ec44d21400f3d6c8", "5725db98ec44d21400f3d6c8", "5725db98ec44d21400f3d6c8"], "feat_title": ["Fresno,_California", "Fresno,_California", "Fresno,_California"], "start_logits": [-1.587890625, -7.1953125, -7.03125, -6.84375, -6.9921875, -6.25390625, -6.8125, -5.73046875, -5.8828125, -6.12890625, -6.0703125, -2.228515625, -3.953125, -2.646484375, -5.8359375, 7.921875, -8.0625, -6.94140625, -2.005859375, -7.34375, -6.8515625, -6.9609375, -5.80078125, -8.3984375, -8.859375, -7.33203125, -8.21875, -4.87109375, -5.9765625, -8.28125, -8.1484375, -8.3046875, -7.9609375, -7.171875, -7.55078125, -7.0390625, -7.9765625, -8.1953125, -3.927734375, -5.41796875, -7.58984375, -7.765625, -5.58984375, -7.5625, -6.72265625, -6.5625, -5.09765625, -5.890625, 0.37060546875, -7.83203125, -6.37109375, -5.3984375, -4.8828125, 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Early Watt engines equipped with high-pressure steam improved this to 65 million.", "question": "What was the ideal duty of a concept engine?", "answers.text": [""], "answers.answer_start": [-1], "feat_id": ["5ad41813604f3c001a4003e0"], "feat_title": ["Steam_engine"], "start_logits": [9.3671875, -8.2734375, -8.2265625, -7.99609375, -7.19921875, -8.015625, -8.546875, -6.94921875, -7.05078125, -8.703125, -8.1328125, -2.23046875, -6.8515625, -6.7421875, -6.671875, -7.828125, -7.203125, -6.0546875, -7.33984375, -7.18359375, -7.19140625, -7.0, -6.8515625, -6.296875, -7.32421875, -5.30859375, -6.7890625, -6.6953125, -7.17578125, -6.1640625, -4.1875, -7.3203125, -5.9296875, -8.2734375, -7.65234375, -7.0546875, -7.84765625, -6.87109375, -7.640625, -8.9375, -7.65234375, -7.37109375, -7.6796875, -7.27734375, -7.0390625, -7.0, -7.32421875, -7.73828125, -8.0703125, -7.9765625, -7.5859375, -6.50390625, -6.91015625, -7.8125, -8.6796875, -6.30078125, -6.37890625, -2.54296875, -6.91796875, -5.203125, 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{"context": "Imperialism and colonialism both dictate the political and economic advantage over a land and the indigenous populations they control, yet scholars sometimes find it difficult to illustrate the difference between the two. Although imperialism and colonialism focus on the suppression of an other, if colonialism refers to the process of a country taking physical control of another, imperialism refers to the political and monetary dominance, either formally or informally. Colonialism is seen to be the architect deciding how to start dominating areas and then imperialism can be seen as creating the idea behind conquest cooperating with colonialism. Colonialism is when the imperial nation begins a conquest over an area and then eventually is able to rule over the areas the previous nation had controlled. Colonialism's core meaning is the exploitation of the valuable assets and supplies of the nation that was conquered and the conquering nation then gaining the benefits from the spoils of the war. The meaning of imperialism is to create an empire, by conquering the other state's lands and therefore increasing its own dominance. Colonialism is the builder and preserver of the colonial possessions in an area by a population coming from a foreign region. Colonialism can completely change the existing social structure, physical structure and economics of an area; it is not unusual that the characteristics of the conquering peoples are inherited by the conquered indigenous populations.", "question": " what do conquering people take away from native populations?", "answers.text": [""], "answers.answer_start": [-1], "feat_id": ["5acff63377cf76001a68665d"], "feat_title": ["Imperialism"], "start_logits": [7.890625, -6.7890625, -7.2265625, -6.1171875, -7.3359375, -6.6328125, -8.125, -7.75, -6.43359375, -7.546875, -7.984375, -2.228515625, -2.830078125, -7.375, -3.17578125, -6.60546875, -5.12109375, -5.80859375, -5.765625, -7.203125, -5.0234375, -7.37109375, -7.3203125, -7.71875, -6.71875, -7.56640625, -6.5390625, -4.30859375, -6.21875, -7.4453125, -6.1015625, -8.359375, -8.4609375, -7.53125, -7.1015625, -7.640625, -7.76953125, -7.03125, -7.734375, -7.6875, -6.8671875, -8.8984375, -7.6171875, -7.15625, -7.89453125, -6.7265625, -7.71875, 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{"context": "Bills can be introduced to Parliament in a number of ways; the Scottish Government can introduce new laws or amendments to existing laws as a bill; a committee of the Parliament can present a bill in one of the areas under its remit; a member of the Scottish Parliament can introduce a bill as a private member; or a private bill can be submitted to Parliament by an outside proposer. Most draft laws are government bills introduced by ministers in the governing party. Bills pass through Parliament in a number of stages:", "question": "Who may also submit private bills to Parliament?", "answers.text": ["an outside proposer", "an outside proposer", "an outside proposer"], "answers.answer_start": [364, 364, 364], "feat_id": ["572fcd86947a6a140053ccdd", "572fcd86947a6a140053ccdd", "572fcd86947a6a140053ccdd"], "feat_title": ["Scottish_Parliament", "Scottish_Parliament", "Scottish_Parliament"], "start_logits": [-1.1787109375, -7.3515625, -7.37890625, -7.14453125, -7.30859375, -6.58984375, -7.44921875, -7.625, -7.609375, -6.97265625, -2.224609375, -5.52734375, -5.828125, -6.22265625, -5.92578125, -6.35546875, -5.328125, -6.09765625, -5.5546875, -5.73046875, -5.90625, -5.69921875, -5.1875, -4.3046875, -3.859375, -4.84375, -6.07421875, -6.1953125, -5.671875, -6.23046875, -6.7421875, -5.26171875, -6.59375, -5.44140625, -5.88671875, -5.875, -5.734375, -6.13671875, -6.08203125, -3.89453125, -4.390625, -5.9375, -5.97265625, -3.376953125, -6.28125, -6.3203125, 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{"text": "Real hot girl shit\nYeah, Im in my bag, but Im in his too\nAnd thats why every time you see me, I got some new shoes\nAh, mwah, ayy, look\nLil Ju made this beat\nBitch, Im a star, got these niggas wishin\nHe say he hungry, this pussy the kitchen\nYeah, thats my dawg, he gon sit down and listen\nCall him a trick and he dont get off, hold up\nBitch, Im a star, got these niggas wishin\nHe say he hungry, this pussy the kitchen\nYeah, thats my dawg, he gon sit down and listen\nCall him a trick and he dont get offended\nHe know he giving his money to Megan\nHe know its very expensive to date me\nTold him go put my name on that account\nBecause when I need money, I aint tryna, hold up\nHe know he giving his money to Megan\nHe know its very expensive to date me\nTold him go put my name on that account\nBecause when I need money, I aint tryna wait\nI cant be fucked with, no\nHo, you cant touch this, ayy\nBitch, I do rich shit, huh\nMy money thick thick, ayy\nWalk with a limp, limp, huh\nIm on some pimp shit, ayy\nHe say, You all about money, yeah\nIm on that cash shit, huh\nIm in my bag, bitch, huh\nIm on your ass, bitch, huh\nIm in that new new shit\nYou on that last year, huh\nBitch, I do pimp shit, huh\nHo, you on simp shit, ayy\nHe say, You all about money, yeah\nIm on that cash shit, ah\nYou know why these bitches love me? \nCause Baby dont give a fuck \nI be fixin her weave while she suckin my dick\nPull it out, then I tittyfuck \nI fuck her from the back and she nasty, killin her\nKnow how I give it up \nI be cool on em, bitch, aint no pressure \nTil I met this lil freak, her name Megan \nThis lil thing here a stallion, look how she walk\nLook how she talk, she sexy \nI like when they pretty and ghetto \nType of bitch that dont even say hello \nAnd whenever we fuck, she be fuckin me back\nPut her in the headlock with my elbow \nNow she done reversed it\nGot up on the dick and ride the shit like a Camaro, uh\nI cant be fucked with, no\nHo, you cant touch this, ayy\nBitch, I do rich shit, huh\nMy money thick thick, ayy\nWalk with a limp, limp, huh\nIm on some pimp shit, ayy\nHe say, You all about money, yeah\nIm on that cash shit, huh\nIm in my bag, bitch, huh\nIm on your ass, bitch, huh\nIm in that new new shit\nYou on that last year, huh\nBitch, I do pimp shit, huh\nHo, you on simp shit, ayy\nHe say, You all about money, yeah\nIm on that cash shit, ah \nI dont be stressin bout none of these niggas\nWhen they be talkin, I dont even listen\nTellin me secrets, I probably forget it\nBut Ima tune in when he say he gon lick it\nHe told em send me a pic cause he miss me\nI told him send me a stack if he really\nI dont be trusting these tricks cause they tricky\nSend him a pic of somebody else titties\nIm a finesser and Im a fly dresser\nMove to the top floor and flew in my dresser\nMy bitches hustle, make money together\nYour bitches birds and they flockin together\nI cant decide if I want the new Louis\nDapper Dan yellow, Im always in Gucci\nYour mama dont bring your dad to the mall\nCause when he be in there she know he be choosin\nI cant be fucked with, no\nHo, you cant touch this, ayy\nBitch, I do rich shit, huh\nMy money thick thick, ayy\nWalk with a limp, limp, huh\nIm on some pimp shit, ayy\nHe say, You all about money, yeah\nIm on that cash shit, huh\nIm in my bag, bitch, huh\nIm on your ass, bitch, huh\nIm in that new new shit\nYou on that last year, huh\nBitch, I do pimp shit, huh\nHo, you on simp shit, ayy\nHe say, You all about money, yeah\nIm on that cash shit, ah"} |
{"text": "Pooh, you a fool for this one\nHa\nOh Lord, Jetson made another one\nHah\nPack in the mail, its gone \nShe like how I smell, cologne \nI just signed a deal, Im on\nYeah, yeah\nI go where I want, Im good \nPlay if you want, lets do it \nIm a young CEO, Suge \nYeah, yeah\nThe first nigga play, Ima body a nigga \nI just checked my balance\nIll probably pull up to your hood\nAnd come buy me a nigga \nYou know that your ho told you that nigga crazy\nDont think that she lied to you, nigga \nGet caught with your ho when Im poppin em both\nNow they high just like Bobby and Whitney \nSay Im the goat, act like I dont know\nBut fuck it, Im obviously winnin\nDont make me go hit the bank and take out a hundred\nTo show you our pockets are different \nIm out with your bitch and I only want knowledge\nShe got a lil mileage, Im chillin \nYou disrespect me and Ill beat your ass up\nAll in front of your partners and children \nIm the type to let a nigga think that Im broke\nUntil I pop out with a million \nTake 20K and put that on your head\nAnd make one of your partners come kill you \nSay he fuckin with me then he gotta grow up\nCause this nigga gotta be kiddin \nThis shit, it cant fit in my pocket\nI got it, like I hit the lottery, nigga \nOpp, Ill slap the shit out a nigga\nNo talkin, I dont like to argue with niggas \nAint gon be no more laughin\nYou see me whip out cause Im gon be done shot me a nigga \nI dont follow no bitches on IG\nBut all of your bitches, they follow a nigga \nAnd that lil nigga aint gon shoot shit with that gun\nHe just pull it out in his pictures \nHah\nPack in the mail, its gone \nShe like how I smell, cologne \nI just signed a deal, Im on\nYeah, yeah\nI go where I want, Im good \nPlay if you want, lets do it \nIm a young CEO, Suge \nYeah, yeah\nHah\nPack in the mail, its gone \nShe like how I smell, cologne \nI just signed a deal, Im on\nYeah, yeah\nI go where I want\nIm good \nPlay if you want, lets do it \nIm a young CEO, Suge \nYeah, yeah\nTalkin my shit, Ima pop that \nGot like thirty-two thousand in one of my pockets\nThe other one, thats where the Glock at \nYou little niggas wanna be internet gangster\nMan, tell all these little niggas stop that \nBeen done burnt me a nigga in front of the store\nWhere your mammy and grandmama shop at \nHopped out on a whole other wave from these niggas\nLets see one of you little niggas top that\nI will turn a nigga into a convertible\nPush me a lil nigga top back \nHer boyfriend be hatin and callin her groupie\nJust cause she like all my music \nShell send me a text and then delete the message\nHe tryna find out, its confusin\nI dont know what these niggas is thinkin about\nUse the brain in your head fore you lose it \nIll pull up after school and Ill teach her some shit\nTell your bro Im a motherfuckin tutor\nMember I used to cheat off a pretty bitch test\nAll the teachers, they thought I was stupid \nWas expectin the box to pull up on a truck\nMan, this nigga pulled up on a scooter \nHah\nPack in the mail, its gone \nShe like how I smell, cologne \nI just signed a deal, Im on\nYeah, yeah\nI go where I want, Im good \nPlay if you want, lets do it \nIm a young CEO, Suge \nYeah, yeah\nHah\nPack in the mail, its gone \nShe like how I smell, cologne \nI just signed a deal, Im on\nYeah, yeah\nI go where I want\nIm good \nPlay if you want, lets do it \nIm a young CEO, Suge \nYeah, yeah"} |
{"text": "Damn near got the best head in the world on her, I be ready to hit\nPut her lips on my dick and she swirl on it, she be ready to spit\nShe eatin my dick with passion, it feel like she talkin to me, she be tellin me shit\nYeah, go head and spit on it, yeah \nPull out my dick and she lick on it\nI know she with it, yeah, I know she want it, uhPaint her face like a Picasso\nShe smokin on dick like Gelato\nI need a sexy lil bih like Mulatto\nLick on the tip and you know that she swallow kids\nIG bitch, come follow this\nI aint tryna do no cuddling\nI just want face, let me bust on it\nSexy lil bitch, sexy lil ho\nHold on, hold on real quick\nSee her three times a week and dont nobody know\nPull that dick out and eat soon as I hit the door\nTwo days ago I got head at the Lowes\nThey know I be on go, I get head at the store\nOoh, she a gangster, she dont even care if they look in the car, I cant tell if they know\nGirl, get them angles, let me get my leg out your way\nI got manners, Ima move your hair out the way\nShe pull that bitch out when she see me\nShe suck my dick, she put this song on repeat\nShe love to top it, ooh, and she slop it\nPut the spit from the dick to her mouth, she a monster\nAnd I might love her if she blow bubbles\nAnd put both hands on the dick and massage it\nSexy lil bitch, sexy lil ho\nI love the way you walk, love the way you talk\nLet a young nigga come play in your throat\nDeep stroke your throat til I make you choke\nThroat babies, Im tryna give em to you\nThroat babies, Im tryna bust all on you\nShe suckin me up like a slushee\nPut me to sleep, Robitussin, the head is amazing \nShe get protein when I give her them babies \nSloppy toppy got her brand new Mercedes, uh-huh\nI be like, Kiss on it while we in public to show that you miss it, uh-huh\nThe way that she take it out, spit on it, lick on it, got me addicted, yeah, yeah\nAyy, dont talk back \nYou can get a house with a mouth like that \nLets switch side cause my mouth bite back \nAnd I love her fat cat, let me lick it from the back, okay\nShe tellin me Kash, that I love you, I aint tryna hear it \nI just wan put it all inside your mouth\nIma fuck up your head and your brain gon feel it, bitch\nSexy lil bitch, sexy lil ho\nI love the way you walk, love the way you talk\nLet a young nigga come play in your throat\nDeep stroke your throat til I make you choke\nThroat babies, Im tryna give em to you\nThroat babies, Im tryna bust all on you\nSexy lil bitch, sexy lil ho\nI love the way you walk, love the way you talk\nLet a young nigga come play in your throat\nDeep stroke your throat til I make you choke\nThroat babies, Im tryna give em to you\nThroat babies, Im tryna bust all on you\nDrop my panties, spread my legs\nKiss my clit, lick my split\nMake me cream, stroke my purr\nEat this pussy up like its yours \nThroat babies, Im tryna bust all on you\nThroat babies, let me put this pussy on you\nSit your gun on the dresser \nAnd let me undress ya \nCum babies , come, baby\nDrop his drawers, grab that log\nKiss that dick, lick his balls\nSpit on the head , make it wet \nSuck that meat , take it deep\nGhetto lil bitch, he love the way I talk\nDick get hard every time I walk\nSuck him dead, bring out the white chalk\nPetty to you, for me, the whole vault\nMy throat crazy, he gon keep curving you\nMy throat crazy, straightjacket, white suit\nI like to be fucked like a slut\nCome here, zaddy, let me eat it up\nLook in his eyes and swallow that nut\nItty-bitty nigga but the dick big\nIm his baby mama, we got throat kids \nSexy lil bitch, sexy lil ho\nI love the way you walk, love the way you talk\nLet a young nigga come play in your throat\nDeep stroke your throat til I make you choke\nThroat babies, Im tryna give em to you\nThroat babies, Im tryna bust all on you"} |
{"text": "Yup, yup, yerp\nAnd then the smoke got me\nHey\nI got muscles like Supermans trainer, ayy \nReal real rare like Super Saiyan manga\nI jump stomp-stomp on Lucifer, Satan \nNow I got a few rings on, Jupiter skating \nI meant to say Saturn, switched up the pattern \nSmoking on some shatter \nGot me higher than a ladder \nThanks, Im flattered, my baby mama badder \nYou look like Mick Jagger, oops, the grease splattered \nHot, hot \nJumping out the grease\nIts a whole lotta degrees\nBout to come up out the fleece, fleece, fleece\nShh, I dont wanna hear a peep \nTryna catch some sleep , tryna count some sheep \nHot damn, hot water, hot shower \nHotlanta, smoking green, cauliflower \nTangerine, yeah, I call her sweet and sour \nAnd my lawyer say its urgent, Ima call him in a hour\nDude, I just called the plug and his phone was unplugged\nI was lookin at Doug like \nDude, that shit dont even make no fucking sense\nLike having fuckin arguments for payin fifty extra cents for barbecue\nSaucing on the workers at McDonalds\nI dont wanna sit and argue, Good Burger shoulda taught you\nWe all dudes\nAnd Im all professional and proper\nBut my baby mama stopped me in a meeting \nJust to AirDrop me some nudes\nHot damn, hot water, hot shower \nHotlanta, smoking green, cauliflower \nTangerine, yeah, I call her sweet and sour\nAnd my lawyer say its urgent, Ima call him in a hour \nYeah, hopped off the flight, Louis V, Off-White \nI just made a dub and she tryna spend the night \nHeard they need more, yeah, my jeans Dior \nShawty got cake if you tryna eat more \nThink they need more, I think they need more \nThis the second round, Im tryna speed more \nGoing stupid, going crazy \nBig gas in that Mercedes \nPull up lit, uh, going 30 \nPull up Vic, uh, in a hurry \nShoot your shot, uh, flex a lot \nBig cheese, uh, hella knots \nChopped and screwed, Michael Watts \nPoint em out, air em out \nGet me right, sippin Sprite \n180, halfpipe \nOoh\nHot damn, hot water, hot shower\nHotlanta, smoking green, cauliflower\nTangerine, yeah, I call her sweet and sour\nAnd my lawyer say its urgent, Ima call him in a hour\nGoddamn\nThink I got a new lawsuit, I need to come see you \nI got a new whip, you know what a car do\nTurn your bitch to a eater \nShe say we dont got enough room to get freaky in here\nCause its just a two-seater \nAm I still considered a trick if I get her a hoopty\nAnd buy me a Bimmer? \nI had a new case but the judge had to throw it out\nMy lawyer beat it like Tina\nI always find a way to get ahead with my intelligence\nWhen they critique my demeanor \nToday Ill dress up a Republican \nAnd go get some head from a white mans daughter\nHer lips arent big but Im loving it \nI get in, fake ID, Im McLovin it \nBDB ENT like the government \nExcept for the cops , mission impossible\nStrapped with the Glock, Danny Gloverin\nTip a hundred if you let my cousin in\nYou know everybody my cousin \nOh yeah, and I gotta be thuggin it\nCause my hair can get nappy as fuck\nI wear jewelry and I got that chocolate coloring\nWell at least, like you know, thats what they make me feel like\nWhy they make you feel like that?\nI dont know, I mean its America, right?\nOoh, hot damn, hot water, hot shower\nHotlanta, smoking green, cauliflower \nTangerine, yeah, I call her sweet and sour\nAnd my lawyer say its urgent, Ima call him in a hour"} |
{"feat_Unnamed: 0": 30, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Et tu, Brute? Then fall, Carmax\r\nOutput: Et tu, Brute? Then fall,", "classes": [" Caesar", " Carmax"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -10.188783645629883, -1.3017146587371826, -0.7996204495429993, -0.21643085777759552, -0.003952905535697937, -0.10376917570829391, -9.444974899291992, -7.8423919677734375, -3.548793315887451, -12.490326881408691, -8.218070030212402, -16.806516647338867, -1.274462342262268, -0.1284903734922409, -0.003561940509825945, -0.15390272438526154, -0.005721501540392637, -0.006204747129231691, -0.028025703504681587, -0.0005731132114306092, -0.022025959566235542, -0.039270881563425064, -0.04209830239415169, -0.028688747435808182, -9.490160942077637, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 122, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Cowards die many times before their deaths; the valiant never taste of death but onca\r\nOutput: Cowards die many times before their deaths; the valiant never taste of death but", "classes": [" once", " onca"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -10.188783645629883, -1.3017146587371826, -0.7996204495429993, -0.21643085777759552, -0.003952905535697937, -0.10376917570829391, -9.444974899291992, -7.8423919677734375, -3.548793315887451, -12.490326881408691, -8.218070030212402, -16.806516647338867, -1.274462342262268, -0.1284903734922409, -0.003561940509825945, -0.15390272438526154, -0.005721501540392637, -0.006204747129231691, -0.028025703504681587, -0.0005731132114306092, -0.022025959566235542, -0.039270881563425064, -0.04209830239415169, -0.028688747435808182, -0.09710507094860077, -0.0098017118871212, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 120, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: What light through yonder window browny\r\nOutput: What light through yonder window", "classes": [" breaks", " browny"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -9.858992576599121, -4.2140045166015625, -1.3911280632019043, -0.2066354602575302, -0.03842073678970337, -0.1614171266555786, -0.04627186059951782, -0.12351606041193008, -2.7440590858459473, -0.461701899766922, -0.25105392932891846, -0.21905653178691864, -0.1645403504371643, -0.023676643148064613, -0.05149885639548302, -0.0343112051486969, -11.087006568908691, -15.399357795715332, -16.45648193359375, -2.1729378700256348, -0.31372830271720886, -0.004629726056009531, -0.03126917779445648, -0.0017940392717719078, -0.004125418607145548, -0.031118042767047882, -0.012532645836472511, -0.03961135447025299, -0.020650971680879593, -0.013880742713809013, -0.08523520082235336, -0.025203140452504158, -0.11803191155195236, -0.060111187398433685, -0.010166291147470474, -0.018130645155906677, -0.010040019638836384, -0.16747215390205383, -2.2794618606567383, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 147, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Tis better to have loved and lost than to have never loved at ally\r\nOutput: Tis better to have loved and lost than to have never loved at", "classes": [" all", " ally"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -9.858992576599121, -4.2140045166015625, -1.3911280632019043, -0.2066354602575302, -0.03842073678970337, -0.1614171266555786, -0.04627186059951782, -0.12351606041193008, -2.7440590858459473, -0.461701899766922, -0.25105392932891846, -0.21905653178691864, -0.1645403504371643, -0.023676643148064613, -0.05149885639548302, -0.0343112051486969, -11.087006568908691, -15.399357795715332, -16.45648193359375, -2.1729378700256348, -0.31372830271720886, -0.004629726056009531, -0.03126917779445648, -0.0017940392717719078, -0.004125418607145548, -0.031118042767047882, -0.012532645836472511, -0.03961135447025299, -0.020650971680879593, -0.013880742713809013, -0.08523520082235336, -0.025203140452504158, -0.11803191155195236, -0.060111187398433685, -0.010166291147470474, -0.018130645155906677, -0.010040019638836384, -0.16747215390205383, -0.25871747732162476, -0.09950147569179535, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 87, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: The hand that mock'd them and the heart that fed. And on the pedestal these words appear: My name is Ozymandias, king of kings: Look on my works, ye mighty, and despacito\r\nOutput: The hand that mock'd them and the heart that fed. And on the pedestal these words appear: My name is Ozymandias, king of kings: Look on my works, ye mighty, and", "classes": [" despair", " despacito"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -1.4366331100463867, -9.314321517944336, -9.384641647338867, -7.051825046539307, -0.24378027021884918, -0.14943119883537292, -10.486448287963867, -6.8220014572143555, -19.143199920654297, -2.460176706314087, -0.08710625022649765, -0.006187805440276861, -0.08843468874692917, -0.050479985773563385, -0.028779327869415283, -0.01672801375389099, -0.0014181805308908224, -0.011779984459280968, -12.706629753112793, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 158, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Reputation is an idle and most false imposition; oft got without merit, and lost without derotreme\r\nOutput: Reputation is an idle and most false imposition; oft got without merit, and lost without", "classes": [" deserving", " derotreme"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -1.4366331100463867, -9.314321517944336, -9.384641647338867, -7.051825046539307, -0.24378027021884918, -0.14943119883537292, -10.486448287963867, -6.8220014572143555, -19.143199920654297, -2.460176706314087, -0.08710625022649765, -0.006187805440276861, -0.08843468874692917, -0.050479985773563385, -0.028779327869415283, -0.01672801375389099, -0.0014181805308908224, -0.011779984459280968, -0.1501970887184143, -0.10602456331253052, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 149, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Great minds discuss ideas; average minds discuss events; small minds discuss pergola\r\nOutput: Great minds discuss ideas; average minds discuss events; small minds discuss", "classes": [" people", " pergola"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -7.6094560623168945, -4.708465576171875, -3.4043655395507812, -0.07429065555334091, -1.1128193140029907, -0.7445933818817139, -0.11019571125507355, -0.006533689331263304, -0.5027298927307129, -0.9830172061920166, -0.5056383609771729, -0.12317780405282974, -0.18214108049869537, -0.0554305724799633, -18.39052963256836, -12.976889610290527, -0.10805170238018036, -0.08692081272602081, -0.004067838191986084, -0.1085548996925354, -0.0008708022069185972, -0.00941786915063858, -0.006228322628885508, -0.010022670961916447, -0.021402472630143166, -0.025475692003965378, -0.01633673533797264, -0.041459761559963226, -0.027309557422995567, -0.025872472673654556, -0.018839238211512566, -0.016554847359657288, -0.04304227605462074, -0.7260448336601257, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 176, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Heard melodies are sweet, but those unheard Are sweeter: therefore, ye soft pipes, play on; Not to the sensual ear, but, more endear'd, Pipe to the spirit ditties of no torso\r\nOutput: Heard melodies are sweet, but those unheard Are sweeter: therefore, ye soft pipes, play on; Not to the sensual ear, but, more endear'd, Pipe to the spirit ditties of no", "classes": [" tone", " torso"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -7.6094560623168945, -4.708465576171875, -3.4043655395507812, -0.07429065555334091, -1.1128193140029907, -0.7445933818817139, -0.11019571125507355, -0.006533689331263304, -0.5027298927307129, -0.9830172061920166, -0.5056383609771729, -0.12317780405282974, -0.18214108049869537, -0.0554305724799633, -18.39052963256836, -12.976889610290527, -0.10805170238018036, -0.08692081272602081, -0.004067838191986084, -0.1085548996925354, -0.0008708022069185972, -0.00941786915063858, -0.006228322628885508, -0.010022670961916447, -0.021402472630143166, -0.025475692003965378, -0.01633673533797264, -0.041459761559963226, -0.027309557422995567, -0.025872472673654556, -0.018839238211512566, -0.016554847359657288, -0.04304227605462074, -1.0124313831329346, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 255, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Our doubts are traitors and make us lose the good we oft might win by fearing to atactic\r\nOutput: Our doubts are traitors and make us lose the good we oft might win by fearing to", "classes": [" attempt", " atactic"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -3.994826316833496, -7.358230113983154, -2.0948233604431152, -13.424467086791992, -6.600886821746826, -6.465151786804199, -4.863443374633789, -2.0255043506622314, -4.057192325592041, -0.22724679112434387, -4.020608901977539, -4.4503583908081055, -6.974459171295166, -5.215388774871826, -1.2566665410995483, -8.19338321685791, -0.043316517025232315, -5.86595344543457, -1.7575002908706665, -3.103605031967163, -1.287847638130188, -5.883995056152344, -2.077327013015747, -0.14507508277893066, -4.46845817565918, -0.4402424991130829, -0.0025615044869482517, -0.057144392281770706, -0.24408160150051117, -0.7069019079208374, -0.007829808630049229, -0.027867350727319717, -0.6294786930084229, -0.015173837542533875, -0.021952025592327118, -0.000890097115188837, -0.03148891031742096, -0.13691312074661255, -0.0034464742057025433, -0.7551953196525574, -0.022503839805722237, -0.005515239667147398, -10.228777885437012, -6.385048866271973, -0.07077311724424362, -16.807941436767578, -0.9697737693786621, -0.7811495661735535, -0.008950824849307537, -0.5211761593818665, -0.1250104010105133, -0.009803246706724167, -0.12958215177059174, -0.013389313593506813, -0.019290344789624214, -0.05978672206401825, -0.006512844935059547, -0.003360935254022479, -0.0024787436705082655, -0.014307651668787003, -0.051491156220436096, -0.04485335573554039, -0.02796623669564724, -0.005276681389659643, -0.005786927882581949, -0.0003856868715956807, -0.007993966341018677, -0.004497057292610407, -0.01394164003431797, -0.019088968634605408, -0.18517616391181946, -0.004636608529835939, -0.005107332020998001, -0.04053066298365593, -8.821098163025454e-05, -0.0005679901223629713, -0.0015404274454340339, -0.022599877789616585, -0.02835693210363388, -0.0025744650047272444, -0.019435446709394455, -0.06384856253862381, -0.03470035269856453, -0.01250344980508089, -0.008985204622149467, -0.0736335888504982, -0.021745117381215096, -0.038963884115219116, -0.013677450828254223, -0.024681540206074715, -0.009312407113611698, -5.02376651763916, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"feat_Unnamed: 0": 174, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Much have I travell'd in the realms of gold, And many goodly states and kingdoms seen; Round many western islands have I been Which bards in fealty to Apollo hokey\r\nOutput: Much have I travell'd in the realms of gold, And many goodly states and kingdoms seen; Round many western islands have I been Which bards in fealty to Apollo", "classes": [" hold", " hokey"], "target": 1, "evaluation_predictions": [-10.956914901733398, -5.505998134613037, -7.016107082366943, -2.4282937049865723, -0.15223222970962524, -0.13668449223041534, -0.9755715727806091, -19.14529037475586, -3.7262227535247803, -15.509757995605469, -2.4076590538024902, -11.602614402770996, -3.9119482040405273, -3.10064959526062, -3.10664701461792, -5.030043601989746, -1.0716052055358887, -15.070648193359375, -0.9099352359771729, -0.38973766565322876, -0.019278885796666145, -0.7350102066993713, -0.47270461916923523, -0.6318486928939819, -0.5945362448692322, -13.92802619934082, -0.8300867080688477, -15.547270774841309, -0.5826364159584045, -0.6242666840553284, -0.021669529378414154, -3.087728977203369, -1.2458217144012451, -2.5494604110717773, -5.793249130249023, -5.5294647216796875, -6.4103264808654785, -0.7532982230186462, -8.500093460083008, -2.151736259460449, -11.021961212158203, -0.04990529641509056, -0.10389231890439987, -0.005328500177711248, -1.4333734512329102, -0.04947369173169136, -0.11554086953401566, -0.14412003755569458, -0.13717319071292877, -0.042310524731874466, -0.023035895079374313, -0.08786535263061523, -0.15331518650054932, -9.521032333374023, -0.12945324182510376, -7.711158275604248, -0.042545437812805176, -0.0431564562022686, -0.00671025738120079, -3.994826316833496, -7.358230113983154, -2.0948233604431152, -13.424467086791992, -6.600886821746826, -6.465151786804199, -4.863443374633789, -2.0255043506622314, -4.057192325592041, -0.22724679112434387, -4.020608901977539, -4.4503583908081055, -6.974459171295166, -5.215388774871826, -1.2566665410995483, -8.19338321685791, -0.043316517025232315, -5.86595344543457, -1.7575002908706665, -3.103605031967163, -1.287847638130188, -5.883995056152344, -2.077327013015747, -0.14507508277893066, -4.46845817565918, -0.4402424991130829, -0.0025615044869482517, -0.057144392281770706, -0.24408160150051117, -0.7069019079208374, -0.007829808630049229, -0.027867350727319717, -0.6294786930084229, -0.015173837542533875, -0.021952025592327118, -0.000890097115188837, -0.03148891031742096, -0.13691312074661255, -0.0034464742057025433, -0.7551953196525574, -0.022503839805722237, -0.005515239667147398, -10.228777885437012, -6.385048866271973, -0.07077311724424362, -16.807941436767578, -0.9697737693786621, -0.7811495661735535, -0.008950824849307537, -0.5211761593818665, -0.1250104010105133, -0.009803246706724167, -0.12958215177059174, -0.013389313593506813, -0.019290344789624214, -0.05978672206401825, -0.006512844935059547, -0.003360935254022479, -0.0024787436705082655, -0.014307651668787003, -0.051491156220436096, -0.04485335573554039, -0.02796623669564724, -0.005276681389659643, -0.005786927882581949, -0.0003856868715956807, -0.007993966341018677, -0.004497057292610407, -0.01394164003431797, -0.019088968634605408, -0.18517616391181946, -0.004636608529835939, -0.005107332020998001, -0.04053066298365593, -8.821098163025454e-05, -0.0005679901223629713, -0.0015404274454340339, -0.022599877789616585, -0.02835693210363388, -0.0025744650047272444, -0.019435446709394455, -0.06384856253862381, -0.03470035269856453, -0.01250344980508089, -0.008985204622149467, -0.0736335888504982, -0.021745117381215096, -0.038963884115219116, -0.013677450828254223, -0.024681540206074715, -0.009312407113611698, -0.28815191984176636, -0.014037799090147018, -0.0695711225271225, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]} |
{"text": "im starting to feel really pathetic giving the bulk of my enthusiasm these days to the kardashians us weekly and roseanne marathons and completely ignoring this blog", "target": 4, "evaluation_predictions": [4.64453125, -0.65966796875, -1.1748046875, -1.06640625, -1.1123046875, -1.7734375]} |
{"text": "i suck up is the boring dull town and the feeling being missed by my family and bf", "target": 4, "evaluation_predictions": [4.625, -0.853515625, -1.01953125, -1.0546875, -1.0537109375, -1.8125]} |
{"text": "i love rides but wasnt feeling too hot this day", "target": 3, "evaluation_predictions": [-1.00390625, -0.67529296875, 3.31640625, -0.6025390625, -1.1240234375, -0.609375]} |
{"text": "i feel like an ugly monster where i cannot show who i really am lest i seem weird or just plainly an outcast", "target": 4, "evaluation_predictions": [4.62109375, -0.90966796875, -1.248046875, -0.5556640625, -1.267578125, -1.9228515625]} |
{"text": "i really do feel superior", "target": 2, "evaluation_predictions": [-0.9970703125, 4.765625, -0.427978515625, -1.4208984375, -1.724609375, -0.9931640625]} |
{"text": "i remember feeling nervous", "target": 1, "evaluation_predictions": [-1.02734375, -1.5869140625, -1.7158203125, -0.29833984375, 4.1171875, -0.1707763671875]} |
{"text": "i was careful to make sure the characters featured you can feel sympathetic", "target": 3, "evaluation_predictions": [-0.77197265625, -0.1434326171875, 3.693359375, -1.2763671875, -1.2744140625, -1.048828125]} |
{"text": "im feeling a little dissatisfied", "target": 0, "evaluation_predictions": [-0.468017578125, -1.0732421875, -1.1962890625, 4.33984375, -0.828125, -1.4775390625]} |
{"text": "i was feeling like i said humour gets me through im one of those people who even if i spoke about my issues no one would be too bothered or would care that thought was in my head and wasnt true that way of being like i dont want to burden you sort of thing", "target": 0, "evaluation_predictions": [0.009796142578125, -1.0126953125, -1.2431640625, 4.23828125, -1.025390625, -1.6064453125]} |
{"text": "i mentioned in my last blog that i have started to get the feeling that i have been pressured into studying things i do not like which has also made me into a person i might not fully be", "target": 1, "evaluation_predictions": [-0.419921875, -1.6728515625, -1.6875, 0.0479736328125, 3.8359375, -0.95556640625]} |
{"text": "Lil wayne"} |
{"text": "Lil Durk"} |
{"text": "Lil Baby"} |
{"text": "Lil Reese"} |
{"text": "The Notorious B.I.G. "} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4748", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4748/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4748/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4748/events", "html_url": "https://github.com/huggingface/datasets/pull/4748", "id": 1318874913, "node_id": "PR_kwDODunzps48JTEb", "number": 4748, "title": "Add image classification processing guide", "user": {"login": "stevhliu", "id": 59462357, "node_id": "MDQ6VXNlcjU5NDYyMzU3", "avatar_url": "https://avatars.githubusercontent.com/u/59462357?v=4", "gravatar_id": "", "url": "https://api.github.com/users/stevhliu", "html_url": "https://github.com/stevhliu", "followers_url": "https://api.github.com/users/stevhliu/followers", "following_url": "https://api.github.com/users/stevhliu/following{/other_user}", "gists_url": "https://api.github.com/users/stevhliu/gists{/gist_id}", "starred_url": "https://api.github.com/users/stevhliu/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/stevhliu/subscriptions", "organizations_url": "https://api.github.com/users/stevhliu/orgs", "repos_url": "https://api.github.com/users/stevhliu/repos", "events_url": "https://api.github.com/users/stevhliu/events{/privacy}", "received_events_url": "https://api.github.com/users/stevhliu/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892861, "node_id": "MDU6TGFiZWwxOTM1ODkyODYx", "url": "https://api.github.com/repos/huggingface/datasets/labels/documentation", "name": "documentation", "color": "0075ca", "default": true, "description": "Improvements or additions to documentation"}], "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_4748). All of your documentation changes will be reflected on that endpoint."], "created_at": 1658880671000, "updated_at": 1658881072000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4748", "html_url": "https://github.com/huggingface/datasets/pull/4748", "diff_url": "https://github.com/huggingface/datasets/pull/4748.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4748.patch", "merged_at": null}, "body": "This PR follows up on #4710 to separate the object detection and image classification guides. It expands a little more on the original guide to include a more complete example of loading and transforming a whole dataset.", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4748/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/4748/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4747", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4747/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4747/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4747/events", "html_url": "https://github.com/huggingface/datasets/pull/4747", "id": 1318586932, "node_id": "PR_kwDODunzps48IWKj", "number": 4747, "title": "Shard parquet in `download_and_prepare`", "user": {"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers", "following_url": "https://api.github.com/users/lhoestq/following{/other_user}", "gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}", "starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions", "organizations_url": "https://api.github.com/users/lhoestq/orgs", "repos_url": "https://api.github.com/users/lhoestq/repos", "events_url": "https://api.github.com/users/lhoestq/events{/privacy}", "received_events_url": "https://api.github.com/users/lhoestq/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_4747). All of your documentation changes will be reflected on that endpoint."], "created_at": 1658858701000, "updated_at": 1658859098000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": true, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4747", "html_url": "https://github.com/huggingface/datasets/pull/4747", "diff_url": "https://github.com/huggingface/datasets/pull/4747.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4747.patch", "merged_at": null}, "body": "Following https://github.com/huggingface/datasets/pull/4724 (needs to be merged first)\r\n\r\nIt's good practice to shard parquet files to enable parallelism with spark/dask/etc.\r\n\r\nI added the `max_shard_size` parameter to `download_and_prepare` (default to 500MB for parquet, and None for arrow).\r\n\r\n```python\r\nfrom datasets import *\r\n\r\ncache_dir = \"s3://...\"\r\nbuilder = load_dataset_builder(\"squad\", cache_dir=cache_dir)\r\nbuilder.download_and_prepare(file_format=\"parquet\", max_shard_size=\"5MB\")\r\n```\r\n\r\n### Implementation details\r\n\r\nThe examples are written to a parquet file until `ParquetWriter._num_bytes > max_shard_size`. When this happens, a new writer is instantiated to start writing the next shard. At the end, all the shards are renamed to include the total number of shards in their names: `{builder.name}-{split}-{shard_id:05d}-of-{num_shards:05d}.parquet`\r\n\r\nTODO:\r\n- [ ] docstrings\r\n- [ ] docs\r\n- [x] tests\r\n\r\ncc @severo ", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4747/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/4747/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
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{"url": "https://api.github.com/repos/huggingface/datasets/issues/4745", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4745/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4745/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4745/events", "html_url": "https://github.com/huggingface/datasets/issues/4745", "id": 1318016655, "node_id": "I_kwDODunzps5Oj1aP", "number": 4745, "title": "Allow `list_datasets` to include private datasets", "user": {"login": "ola13", "id": 1528523, "node_id": "MDQ6VXNlcjE1Mjg1MjM=", "avatar_url": "https://avatars.githubusercontent.com/u/1528523?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ola13", "html_url": "https://github.com/ola13", "followers_url": "https://api.github.com/users/ola13/followers", "following_url": "https://api.github.com/users/ola13/following{/other_user}", "gists_url": "https://api.github.com/users/ola13/gists{/gist_id}", "starred_url": "https://api.github.com/users/ola13/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/ola13/subscriptions", "organizations_url": "https://api.github.com/users/ola13/orgs", "repos_url": "https://api.github.com/users/ola13/repos", "events_url": "https://api.github.com/users/ola13/events{/privacy}", "received_events_url": "https://api.github.com/users/ola13/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": ["Thanks for opening this issue :)\r\n\r\nIf it can help, I think you can already use `huggingface_hub` to achieve this:\r\n```python\r\n>>> from huggingface_hub import HfApi\r\n>>> [ds_info.id for ds_info in HfApi().list_datasets(use_auth_token=token) if ds_info.private]\r\n['bigscience/xxxx', 'bigscience-catalogue-data/xxxxxxx', ... ]\r\n```\r\n\r\n---------\r\n\r\nThough the latest versions of `huggingface_hub` that contain this feature are not available on python 3.6, so maybe we should first drop support for python 3.6 (see #4460) to update `list_datasets` in `datasets` as well (or we would have to copy/paste some `huggingface_hub` code)", "Great, thanks @lhoestq the workaround works! I think it would be intuitive to have the support directly in `datasets` but it makes sense to wait given that the workaround exists :)", "i also think that going forward we should replace more and more implementations inside datasets with the corresponding ones from `huggingface_hub` (same as we're doing in `transformers`)"], "created_at": 1658830568000, "updated_at": 1658836765000, "closed_at": null, "author_association": "NONE", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "I am working with a large collection of private datasets, it would be convenient for me to be able to list them.\r\n\r\nI would envision extending the convention of using `use_auth_token` keyword argument to `list_datasets` function, then calling:\r\n\r\n```\r\nlist_datasets(use_auth_token=\"my_token\")\r\n```\r\n\r\nwould return the list of all datasets I have permissions to view, including private ones. The only current alternative I see is to use the hub website to manually obtain the list of dataset names - this is in the context of BigScience where respective private spaces contain hundreds of datasets, so not very convenient to list manually.", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4745/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/4745/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4744", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4744/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4744/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4744/events", "html_url": "https://github.com/huggingface/datasets/issues/4744", "id": 1317822345, "node_id": "I_kwDODunzps5OjF-J", "number": 4744, "title": "Remove instructions to generate dummy data from our docs", "user": {"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892861, "node_id": "MDU6TGFiZWwxOTM1ODkyODYx", "url": "https://api.github.com/repos/huggingface/datasets/labels/documentation", "name": "documentation", "color": "0075ca", "default": true, "description": "Improvements or additions to documentation"}], "state": "open", "locked": false, "assignee": null, "assignees": [], "milestone": null, "comments": ["Note that for me personally, conceptually all the dummy data (even for \"canonical\" datasets) should be superseded by `datasets-server`, which performs some kind of CI/CD of datasets (including the canonical ones)", "I totally agree: next step should be rethinking if dummy data makes sense for canonical datasets (once we have datasets-server) and eventually remove it.\r\n\r\nBut for now, we could at least start by removing the indication to generate dummy data from our docs."], "created_at": 1658820778000, "updated_at": 1658823453000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "In our docs, we indicate to generate the dummy data: https://huggingface.co/docs/datasets/dataset_script#testing-data-and-checksum-metadata\r\n\r\nHowever:\r\n- dummy data makes sense only for datasets in our GitHub repo: so that we can test their loading with our CI\r\n- for datasets on the Hub:\r\n - they do not pass any CI test requiring dummy data\r\n - there are no instructions on how they can test their dataset locally using the dummy data\r\n - the generation of the dummy data assumes our GitHub directory structure:\r\n - the dummy data will be generated under `./datasets/<dataset_name>/dummy` even if locally there is no `./datasets` directory (which is the usual case). See issue:\r\n - #4742 \r\n\r\nCC: @stevhliu ", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4744/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}, "timeline_url": "https://api.github.com/repos/huggingface/datasets/issues/4744/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4743", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4743/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4743/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4743/events", "html_url": "https://github.com/huggingface/datasets/pull/4743", "id": 1317362561, "node_id": "PR_kwDODunzps48EUFs", "number": 4743, "title": "Update map docs", "user": {"login": "stevhliu", "id": 59462357, "node_id": "MDQ6VXNlcjU5NDYyMzU3", "avatar_url": "https://avatars.githubusercontent.com/u/59462357?v=4", "gravatar_id": "", "url": "https://api.github.com/users/stevhliu", "html_url": "https://github.com/stevhliu", "followers_url": "https://api.github.com/users/stevhliu/followers", "following_url": "https://api.github.com/users/stevhliu/following{/other_user}", "gists_url": "https://api.github.com/users/stevhliu/gists{/gist_id}", "starred_url": "https://api.github.com/users/stevhliu/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/stevhliu/subscriptions", "organizations_url": "https://api.github.com/users/stevhliu/orgs", "repos_url": "https://api.github.com/users/stevhliu/repos", "events_url": "https://api.github.com/users/stevhliu/events{/privacy}", "received_events_url": "https://api.github.com/users/stevhliu/received_events", "type": "User", "site_admin": false}, "labels": [{"id": 1935892861, "node_id": "MDU6TGFiZWwxOTM1ODkyODYx", "url": "https://api.github.com/repos/huggingface/datasets/labels/documentation", "name": "documentation", "color": "0075ca", "default": true, "description": "Improvements or additions to documentation"}], "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_4743). All of your documentation changes will be reflected on that endpoint."], "created_at": 1658782775000, "updated_at": 1658783163000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4743", "html_url": "https://github.com/huggingface/datasets/pull/4743", "diff_url": "https://github.com/huggingface/datasets/pull/4743.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4743.patch", "merged_at": null}, "body": "This PR updates the `map` docs for processing text to include `return_tensors=\"np\"` to make it run faster (see #4676).", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4743/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/4743/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4742", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4742/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4742/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4742/events", "html_url": "https://github.com/huggingface/datasets/issues/4742", "id": 1317260663, "node_id": "I_kwDODunzps5Og813", "number": 4742, "title": "Dummy data nowhere to be found", "user": {"login": "BramVanroy", "id": 2779410, "node_id": "MDQ6VXNlcjI3Nzk0MTA=", "avatar_url": "https://avatars.githubusercontent.com/u/2779410?v=4", "gravatar_id": "", "url": "https://api.github.com/users/BramVanroy", "html_url": "https://github.com/BramVanroy", "followers_url": "https://api.github.com/users/BramVanroy/followers", "following_url": "https://api.github.com/users/BramVanroy/following{/other_user}", "gists_url": "https://api.github.com/users/BramVanroy/gists{/gist_id}", "starred_url": "https://api.github.com/users/BramVanroy/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/BramVanroy/subscriptions", "organizations_url": "https://api.github.com/users/BramVanroy/orgs", "repos_url": "https://api.github.com/users/BramVanroy/repos", "events_url": "https://api.github.com/users/BramVanroy/events{/privacy}", "received_events_url": "https://api.github.com/users/BramVanroy/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": ["Hi @BramVanroy, thanks for reporting.\r\n\r\nFirst of all, please note that you do not need the dummy data: this was the case when we were adding datasets to the `datasets` library (on this GitHub repo), so that we could test the correct loading of all datasets with our CI. However, this is no longer the case for datasets on the Hub.\r\n- We should definitely update our docs.\r\n\r\nSecond, the dummy data is generated locally:\r\n- in your case, the dummy data will be generated inside the directory: `./datasets/hebban-reviews/dummy`\r\n- please note the preceding `./datasets` directory: the reason for this is that the command to generate the dummy data was specifically created for our `datasets` library, and therefore assumes our directory structure: commands are run from the root directory of our GitHub repo, and datasets scripts are under `./datasets` \r\n\r\n\r\n ", "I have opened an Issue to update the instructions on dummy data generation:\r\n- #4744"], "created_at": 1658776722000, "updated_at": 1658820827000, "closed_at": null, "author_association": "CONTRIBUTOR", "active_lock_reason": null, "draft": null, "pull_request": null, "body": "## Describe the bug\r\nTo finalize my dataset, I wanted to create dummy data as per the guide and I ran \r\n\r\n```shell\r\n datasets-cli dummy_data datasets/hebban-reviews --auto_generate\r\n```\r\n\r\nwhere hebban-reviews is [this repo](https://huggingface.co/datasets/BramVanroy/hebban-reviews). And even though the scripts runs and shows a message at the end that it succeeded, I cannot find the dummy data anywhere. Where is it?\r\n\r\n## Expected results\r\n\r\nTo see the dummy data in the datasets' folder or in the folder where I ran the command.\r\n\r\n## Actual results\r\n\r\nI see the following message but I cannot find the dummy data anywhere.\r\n\r\n```\r\nDummy data generation done and dummy data test succeeded for config 'filtered''.\r\nAutomatic dummy data generation succeeded for all configs of '.\\datasets\\hebban-reviews\\'\r\n```\r\n\r\n## Environment info\r\n- `datasets` version: 2.4.1.dev0\r\n- Platform: Windows-10-10.0.19041-SP0\r\n- Python version: 3.8.8\r\n- PyArrow version: 8.0.0\r\n- Pandas version: 1.4.3\r\n\r\n", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4742/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/4742/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": false} |
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{"url": "https://api.github.com/repos/huggingface/datasets/issues/4740", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4740/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4740/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4740/events", "html_url": "https://github.com/huggingface/datasets/pull/4740", "id": 1316478007, "node_id": "PR_kwDODunzps48BX5l", "number": 4740, "title": "Fix multiprocessing in map_nested ", "user": {"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/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_4740). All of your documentation changes will be reflected on that endpoint.", "@lhoestq as a workaround to preserve previous behavior, the parameter `multiprocessing_min_length=16` is passed from `download` to `map_nested`, so that multiprocessing is only used if at least 16 files to be downloaded.\r\n\r\nNote that there is a small breaking change (I think previously it was unintended behavior, so that I have fixed it):\r\n- Before (with default `num_proc=16`) if there were 16 files to be downloaded, multiprocessing was not used\r\n- Now (with default `num_proc=16`) if there are 16 files to be downloaded, multiprocessing is used", "Thanks for the workaround !"], "created_at": 1658738659000, "updated_at": 1658860880000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4740", "html_url": "https://github.com/huggingface/datasets/pull/4740", "diff_url": "https://github.com/huggingface/datasets/pull/4740.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4740.patch", "merged_at": null}, "body": "As previously discussed:\r\n\r\nBefore, multiprocessing was not used in `map_nested` if `num_proc` was greater than or equal to `len(iterable)`.\r\n- Multiprocessing was not used e.g. when passing `num_proc=20` but having 19 files to download\r\n- As by default, `DownloadManager` sets `num_proc=16`, before multiprocessing was only used when `len(iterable)>16` by default\r\n\r\nNow, if `num_proc` is greater than or equal to ``len(iterable)``, `num_proc` is set to ``len(iterable)`` and multiprocessing is used.\r\n- We pass the variable `multiprocessing_min_length=16`, so that multiprocessing is only used if at least 16 files to be downloaded\r\n- ~As by default, `DownloadManager` sets `num_proc=16`, now multiprocessing is used when `len(iterable)>1` by default~\r\n\r\nSee discussion below.\r\n\r\n~After having had to fix some tests (87602ac), I am wondering:~\r\n- ~do we want to have multiprocessing by default?~\r\n - ~please note that `DownloadManager.download` sets `num_proc=16` by default~\r\n- ~or would it be better to ask the user to set it explicitly if they want multiprocessing (and default to `num_proc=1`)?~\r\n\r\nFix #4636.\r\n\r\nCC: @nateraw ", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4740/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/4740/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
{"url": "https://api.github.com/repos/huggingface/datasets/issues/4739", "repository_url": "https://api.github.com/repos/huggingface/datasets", "labels_url": "https://api.github.com/repos/huggingface/datasets/issues/4739/labels{/name}", "comments_url": "https://api.github.com/repos/huggingface/datasets/issues/4739/comments", "events_url": "https://api.github.com/repos/huggingface/datasets/issues/4739/events", "html_url": "https://github.com/huggingface/datasets/pull/4739", "id": 1316400915, "node_id": "PR_kwDODunzps48BHdE", "number": 4739, "title": "Deprecate metrics", "user": {"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/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_4739). All of your documentation changes will be reflected on that endpoint.", "I mark this as Draft because the deprecated version number needs being updated after the latest release.", "Perhaps now is the time to also update the `inspect_metric` from `evaluate` with the changes introduced in https://github.com/huggingface/datasets/pull/4433 (cc @lvwerra) ", "What do you think of including what changes users have to do to switch to `evaluate` in the warning message ?\r\n(basically replace `datasets.load_metric` by `evaluate.load`)\r\n\r\nI think it can help users migrate to `evaluate` and silence the warnings"], "created_at": 1658734555000, "updated_at": 1658869190000, "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, "draft": false, "pull_request": {"url": "https://api.github.com/repos/huggingface/datasets/pulls/4739", "html_url": "https://github.com/huggingface/datasets/pull/4739", "diff_url": "https://github.com/huggingface/datasets/pull/4739.diff", "patch_url": "https://github.com/huggingface/datasets/pull/4739.patch", "merged_at": null}, "body": "Deprecate metrics:\r\n- deprecate public functions: `load_metric`, `list_metrics` and `inspect_metric`: docstring and warning\r\n- test deprecation warnings are issues\r\n- deprecate metrics in all docs\r\n- remove mentions to metrics in docs and README\r\n- deprecate internal functions/classes\r\n\r\nMaybe we should also stop testing metrics?", "reactions": {"url": "https://api.github.com/repos/huggingface/datasets/issues/4739/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/4739/timeline", "performed_via_github_app": null, "state_reason": null, "is_pull_request": true} |
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Ctenophores are distinguished from all other animals by having colloblasts, which are sticky and adhere to prey, although a few ctenophore species lack them.", "question": "Ctenophores are less complex than what other group?", "answers.text": ["bilaterians", "bilaterians", "bilaterians"], "answers.answer_start": [155, 155, 155], "feat_id": ["572646655951b619008f6ec3", "572646655951b619008f6ec3", "572646655951b619008f6ec3"], "feat_title": ["Ctenophora", "Ctenophora", "Ctenophora"], "start_logits": [-2.470703125, -3.03125, -6.3671875, -6.15625, -6.4375, -6.38671875, -7.28515625, -5.21875, -5.953125, -7.08984375, -5.4296875, -5.80859375, -6.28515625, -4.375, -3.91796875, 1.3642578125, -3.623046875, -4.03515625, -4.5078125, -4.41796875, -4.41015625, -3.375, -1.490234375, -3.244140625, -4.81640625, -4.79296875, -4.5, -3.5703125, -1.7275390625, -2.751953125, -0.260986328125, 10.0078125, 0.8701171875, 0.91455078125, -3.029296875, -1.6865234375, -2.78515625, -2.60546875, -2.658203125, 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{"context": "Like mitochondria, chloroplasts use the potential energy stored in an H+, or hydrogen ion gradient to generate ATP energy. The two photosystems capture light energy to energize electrons taken from water, and release them down an electron transport chain. The molecules between the photosystems harness the electrons' energy to pump hydrogen ions into the thylakoid space, creating a concentration gradient, with more hydrogen ions (up to a thousand times as many) inside the thylakoid system than in the stroma. The hydrogen ions in the thylakoid space then diffuse back down their concentration gradient, flowing back out into the stroma through ATP synthase. ATP synthase uses the energy from the flowing hydrogen ions to phosphorylate adenosine diphosphate into adenosine triphosphate, or ATP. Because chloroplast ATP synthase projects out into the stroma, the ATP is synthesized there, in position to be used in the dark reactions.", "question": "What does ATP synthase change into ATP?", "answers.text": ["phosphorylate adenosine diphosphate", "phosphorylate adenosine diphosphate", "energy from the flowing hydrogen ions"], "answers.answer_start": [725, 725, 684], "feat_id": ["572975073f37b31900478418", "572975073f37b31900478418", "572975073f37b31900478418"], "feat_title": ["Chloroplast", "Chloroplast", "Chloroplast"], "start_logits": [-4.52734375, -8.921875, -10.453125, -9.546875, -10.1796875, -10.3671875, -11.046875, -9.5078125, -10.4296875, -9.3515625, -7.390625, -8.3828125, -10.4140625, -8.8359375, -11.3828125, -12.1796875, -11.5390625, -11.6875, -8.3203125, -11.296875, -11.7421875, -12.0625, -12.2109375, -10.296875, -8.9140625, -7.51953125, -9.2734375, -10.46875, -11.015625, -9.59375, -7.68359375, -11.1796875, -12.0703125, -11.25, -4.93359375, -10.0703125, -10.1953125, 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{"context": "There were many religions practiced during the Yuan dynasty, such as Buddhism, Islam, and Christianity. The establishment of the Yuan dynasty had dramatically increased the number of Muslims in China. However, unlike the western khanates, the Yuan dynasty never converted to Islam. Instead, Kublai Khan, the founder of the Yuan dynasty, favored Buddhism, especially the Tibetan variants. As a result, Tibetan Buddhism was established as the de facto state religion. The top-level department and government agency known as the Bureau of Buddhist and Tibetan Affairs (Xuanzheng Yuan) was set up in Khanbaliq (modern Beijing) to supervise Buddhist monks throughout the empire. Since Kublai Khan only esteemed the Sakya sect of Tibetan Buddhism, other religions became less important. He and his successors kept a Sakya Imperial Preceptor (Dishi) at court. Before the end of the Yuan dynasty, 14 leaders of the Sakya sect had held the post of Imperial Preceptor, thereby enjoying special power. Furthermore, Mongol patronage of Buddhism resulted in a number of monuments of Buddhist art. Mongolian Buddhist translations, almost all from Tibetan originals, began on a large scale after 1300. Many Mongols of the upper class such as the Jalayir and the Oronar nobles as well as the emperors also patronized Confucian scholars and institutions. A considerable number of Confucian and Chinese historical works were translated into the Mongolian language.", "question": "What was Kublai's favorite sect of Tibetan Buddhism?", "answers.text": ["Sakya sect", "Sakya sect", "Sakya"], "answers.answer_start": [710, 710, 710], "feat_id": ["57287fec4b864d1900164a40", "57287fec4b864d1900164a40", "57287fec4b864d1900164a40"], "feat_title": ["Yuan_dynasty", "Yuan_dynasty", "Yuan_dynasty"], "start_logits": [-2.61328125, -7.0625, -8.390625, -7.68359375, -8.8203125, -9.25, -9.25, -8.96875, -7.83203125, -7.87890625, -9.0390625, -6.5625, -7.66015625, -6.203125, -8.09375, -6.96484375, -9.5, -7.7109375, -7.234375, -8.515625, -8.796875, -7.5078125, -4.87109375, -8.4140625, -9.4375, -8.9765625, -9.7265625, -4.78515625, -9.65625, -5.3984375, -9.8125, -9.75, -6.42578125, -8.65625, -6.7578125, -7.26953125, -9.03125, -6.5, -4.4140625, -7.87890625, -8.609375, -7.54296875, -7.69140625, -7.79296875, -8.5234375, -9.171875, -4.4609375, -9.3125, -6.8828125, 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{"context": "In 1700 several hundred French Huguenots migrated from England to the colony of Virginia, where the English Crown had promised them land grants in Lower Norfolk County. When they arrived, colonial authorities offered them instead land 20 miles above the falls of the James River, at the abandoned Monacan village known as Manakin Town, now in Powhatan County. Some settlers landed in present-day Chesterfield County. On 12 May 1705, the Virginia General Assembly passed an act to naturalise the 148 Huguenots still resident at Manakintown. Of the original 390 settlers in the isolated settlement, many had died; others lived outside town on farms in the English style; and others moved to different areas. Gradually they intermarried with their English neighbors. Through the 18th and 19th centuries, descendants of the French migrated west into the Piedmont, and across the Appalachian Mountains into the West of what became Kentucky, Tennessee, Missouri, and other states. In the Manakintown area, the Huguenot Memorial Bridge across the James River and Huguenot Road were named in their honor, as were many local features, including several schools, including Huguenot High School.", "question": "What town was actually granted to the Huguenots on arrival?", "answers.text": ["Manakin Town", "Manakin Town", "Manakin Town"], "answers.answer_start": [322, 322, 322], "feat_id": ["5710eca0a58dae1900cd6b3c", "5710eca0a58dae1900cd6b3c", "5710eca0a58dae1900cd6b3c"], "feat_title": ["Huguenot", "Huguenot", "Huguenot"], "start_logits": [-4.56640625, -8.6640625, -10.03125, -9.6953125, -9.4296875, -8.859375, -10.3515625, -11.125, -10.8671875, -11.6875, -11.6953125, -12.4140625, -9.9453125, -10.1953125, -7.8515625, -8.25, -4.5, -5.2265625, -6.03515625, -8.3046875, -4.71875, -5.2421875, -9.0, -8.2109375, -8.7421875, -7.0, -8.6484375, -7.08203125, -7.484375, -5.22265625, -4.65234375, -8.65625, -3.2421875, -8.3671875, -6.13671875, -4.375, -4.703125, -8.046875, -8.5390625, 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