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{"id": 1598, "text": "How can you prevent it ?", "label": 1, "Generalization": "trimmed_train"}
{"id": 4120, "text": "Why do many Native American students not complete college ?", "label": 1, "Generalization": "trimmed_train"}
{"id": 2283, "text": "What is hypertext ?", "label": 1, "Generalization": "trimmed_train"}
{"id": 3840, "text": "What country boasts Ismail 's Palace and the Palace of King Farouk ?", "label": 0, "Generalization": "trimmed_train"}
{"id": 162, "text": "What 's the colored part of the eye called ?", "label": 4, "Generalization": "trimmed_train"}
{"id": 1349, "text": "What do the letters D.C. stand for in Washington , D.C. ?", "label": 3, "Generalization": "trimmed_train"}
{"id": 755, "text": "How many times has `` Louie , Louie '' been recorded ?", "label": 5, "Generalization": "trimmed_train"}
{"id": 882, "text": "Name the various costumed personas of Dr. Henry Pym .", "label": 2, "Generalization": "trimmed_train"}
{"_data_files": [{"filename": "dataset.arrow"}], "_fingerprint": "1d98ca2b5a272ac1", "_format_columns": ["source", "target"], "_format_kwargs": {}, "_format_type": null, "_indexes": {}, "_output_all_columns": false, "_split": null}
{"language": "bg", "type": "EUR-LEX", "file_name": "204645_bg", "sentence_number": 4, "tokens": ["Rechtbank", "Amsterdam"], "coarse_grained": ["B-ORGANISATION", "I-ORGANISATION"], "fine_grained": ["O", "O"]}
{"text": "Human: iPad Mini (1st generation) -- On June 13, 2016, Apple announced the iOS 10 update - with some major updates to the mobile operating system. However, the iPad Mini did not receive this update (along with other devices using the A5 processor including the iPhone 4S, iPad 2, iPad (3rd generation), and iPod Touch (5th generation)) due to hardware limitations. can ipad mini 1st generation get ios 10? I think the answer is No\nAI: The answer is No\nHuman: We can't afford to send our children to college. Can you afford this car? Does the word \"afford\" have the same meaning in each sentence? I think the answer is Yes\nAI: The answer is Yes\nHuman: The Child in Time -- Stephen experiences a strange event that he cannot explain: he sees his parents as a young couple in a pub, before they married. The book also deals with his grief and eventually his painful acceptance of the loss of his child. do they find kate in a child in time? I think the answer is No\nAI: The answer is No\nHuman: Everyone in the class turned to stare at the student. There are two possible causes. 1: The student's phone rang. 2: The student took notes. Is the first cause more plausible? I think the answer is Yes\nAI: The answer is Yes\nHuman: The new car is a delight. His delight to see her was obvious to all. Does the word \"delight\" have the same meaning in each sentence? I think the answer is No\nAI: The answer is No\nHuman: Collapse the music stand. The school system is collapsing. Does the word \"collapse\" have the same meaning in each sentence? 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{"text": "Human: Asprin, an inexpensive drug helps protect survivors of heart attack and stroke from subsequent heart attacks and death, and even helps reduce the number of deaths that occur within the first hours following a heart attack. Now consider the following statement. People experienced adverse effects while taking aspirin. Can it be inferred from the preceding text? I think the answer is Yes\nAI: The answer is No\nHuman: Energy subsidies -- According to a 2015 estimate by the Obama administration, the US oil industry benefited from subsidies of about $4.6 billion per year. A 2017 study by researchers at Stockholm Environment Institute published in the journal Nature Energy estimated that nearly half of U.S. oil production would be unprofitable without subsidies. does the government give subsidies to oil companies? I think the answer is No\nAI: The answer is Yes\nHuman: Buy Buy Baby -- The chain was founded in 1996 by brothers Richard and Jeffrey Feinstein. It consisted of eight stores when it was acquired by Bed Bath & Beyond in 2007. Its primary competitor was Babies ``R'' Us. is bye bye baby owned by bed bath and beyond? I think the answer is Yes\nAI: The answer is Yes\nHuman: Hepburn's platinum, diamond and sapphire brooch had been estimated to fetch just $20,000, but sold for $120,000, six times its estimated price. Now consider the following statement. Hepburn's diamond and sapphire brooch fetched $120,000. Can it be inferred from the preceding text? I think the answer is Yes\nAI: The answer is Yes\nHuman: To cushion a blow. Cushion the blow. Does the word \"cushion\" have the same meaning in each sentence? I think the answer is Yes\nAI: The answer is Yes\nHuman: Compuware claims that Allan Tortorice and Jim Hildner were among several former employees who revealed trade secrets after they moved to IBM. Now consider the following statement. Trade secrets were stolen. Can it be inferred from the preceding text? 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{"text": "Human: Gram-positive bacteria -- Gram-positive bacteria take up the crystal violet stain used in the test, and then appear to be purple-coloured when seen through a microscope. This is because the thick peptidoglycan layer in the bacterial cell wall retains the stain after it is washed away from the rest of the sample, in the decolorization stage of the test. does gram positive have a thick cell wall? I think the answer is Yes\nAI: The answer is Yes\nHuman: Energy subsidies -- According to a 2015 estimate by the Obama administration, the US oil industry benefited from subsidies of about $4.6 billion per year. A 2017 study by researchers at Stockholm Environment Institute published in the journal Nature Energy estimated that nearly half of U.S. oil production would be unprofitable without subsidies. does the government give subsidies to oil companies? I think the answer is No\nAI: The answer is Yes\nHuman: Monica Meadows, a 22-year-old model from Atlanta, was shot in the shoulder on a subway car in New York City. Now consider the following statement. Monica Meadows, 23, was shot in shoulder while riding a subway car in New York City Can it be inferred from the preceding text? I think the answer is Yes\nAI: The answer is No\nHuman: Sam's Club -- There were also Sam's Club locations in Canada, six located in Ontario, in which the last location closed in 2009. are there any sam's clubs in canada? I think the answer is No\nAI: The answer is No\nHuman: Don't fuss too much over the grandchildren -- they are quite big now. She fusses over her husband. Does the word \"fuss\" have the same meaning in each sentence? I think the answer is No\nAI: The answer is No\nHuman: Letterman (sports) -- While it is commonly done, removing one's letter from the letter jacket upon graduation is not firmly held as protocol. Many graduates keep the letter on the jacket after graduation as a symbol of accomplishment and school pride and commitment, especially with college lettermen. can you wear your letterman after high school? 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{"text": "Human: Dragon (Middle-earth) -- In Tolkien's works, dragons are quadrupedal, like Komodo dragons or other lizards, and are either flightless (Glaurung) or are winged and capable of flight (Ancalagon and Smaug). Winged dragons are stated to have first appeared during the War of Wrath, the battle that ended the First Age. is smaug the only dragon in middle earth? I think the answer is No\nAI: The answer is No\nHuman: The student forgot to do her assignment. There are two possible effects. 1: She made up an excuse to tell the teacher. 2: The teacher promoted her to the next grade. Is the first effect more plausible? I think the answer is Yes\nAI: The answer is Yes\nHuman: Dine Brands Global -- Dine Brands Global Inc, formerly DineEquity Inc., and before that IHOP Corporation, is an American company that franchises and operates IHOP and Applebee's restaurants. The company is headquartered in Glendale, California. are applebee's and ihop owned by the same company? I think the answer is No\nAI: The answer is Yes\nHuman: The level of activity declines with age. His sphere of activity. Does the word \"activity\" have the same meaning in each sentence? I think the answer is No\nAI: The answer is No\nHuman: Point a gun. It's rude to point at other people. Does the word \"point\" have the same meaning in each sentence? I think the answer is No\nAI: The answer is No\nHuman: The man turned on the faucet. There are two possible effects. 1: The toilet filled with water. 2: Water flowed from the spout. Is the first effect more plausible? 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{"text": "Human: State your name. State your opinion. Does the word \"state\" have the same meaning in each sentence? I think the answer is No\nAI: The answer is Yes\nHuman: Statue of Liberty -- The statue was administered by the United States Lighthouse Board until 1901 and then by the Department of War; since 1933 it has been maintained by the National Park Service. Public access to the balcony around the torch has been barred for safety since 1916. does the us own the statue of liberty? I think the answer is Yes\nAI: The answer is Yes\nHuman: Oqueli was to fly to Nicaragua to join an international Socialist delegation, which will observe the Nicaraguan electoral campaign. Now consider the following statement. An electoral campaign is being held in Nicaragua. Can it be inferred from the preceding text? I think the answer is Yes\nAI: The answer is Yes\nHuman: A straggle of followers. A straggle of outbuildings. Does the word \"straggle\" have the same meaning in each sentence? I think the answer is No\nAI: The answer is Yes\nHuman: Lead(II) nitrate -- Lead(II) nitrate is an inorganic compound with the chemical formula Pb(NO). It commonly occurs as a colourless crystal or white powder and, unlike most other lead(II) salts, is soluble in water. is pb(no3)2 soluble in water? I think the answer is Yes\nAI: The answer is Yes\nHuman: Salsa (sauce) -- Taco sauce is a condiment sold in American grocery stores and fast food Tex-Mex outlets. Taco sauce is similar to its Mexican counterpart in that it is smoothly blended, having the consistency of thin ketchup. It is made from tomato paste instead of whole tomatoes and lacks the seeds and chunks of vegetables found in picante sauce. is picante sauce the same as taco sauce? 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{"text": "Human: At the same time the Italian digital rights group, Electronic Frontiers Italy, has asked the nation's government to investigate Sony over its use of anti-piracy software. Now consider the following statement. Italy's government investigates Sony. Can it be inferred from the preceding text? I think the answer is Yes\nAI: The answer is No\nHuman: Political violence broke out in the nation. There are two possible effects. 1: Many citizens relocated to the capitol. 2: Many citizens took refuge in other territories. Is the first effect more plausible? I think the answer is No\nAI: The answer is No\nHuman: Cote d'Ivoire's President, Laurent Gbagbo, promulgated new election laws on July 14. Now consider the following statement. President Laurent Gbagbo lives in Cote d'Ivoire. Can it be inferred from the preceding text? I think the answer is Yes\nAI: The answer is Yes\nHuman: Rooster -- A rooster, also known as a gamecock, cockerel or cock, is an adult male gallinaceous bird, usually a male chicken (Gallus gallus domesticus). is a chicken and rooster the same thing? I think the answer is Yes\nAI: The answer is Yes\nHuman: Known as \"heap leach\" mining, the method has become popular in the last decade because it enables microscopic bits of gold to be economically extracted from low-grade ore. Now consider the following statement. The mining industry uses a method known as heap leaching. Can it be inferred from the preceding text? I think the answer is Yes\nAI: The answer is Yes\nHuman: The news caused a sensation. A sensation of touch. Does the word \"sensation\" have the same meaning in each sentence? 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{"text": "Human: Sweeney Todd: The Demon Barber of Fleet Street -- Sweeney Todd: The Demon Barber of Fleet Street is a 1979 musical thriller with music and lyrics by Stephen Sondheim and book by Hugh Wheeler. The musical is based on the 1973 play Sweeney Todd, the Demon Barber of Fleet Street by Christopher Bond. is the barber of seville the same as sweeney todd? I think the answer is Yes\nAI: The answer is No\nHuman: Leave your child the nurse's care. He left the decision to his deputy. Does the word \"leave\" have the same meaning in each sentence? I think the answer is Yes\nAI: The answer is Yes\nHuman: Port Louis -- The economy of the city is mostly dominated by its financial centre, port facilities, tourism and the manufacturing sector which include textiles, chemicals, plastics and pharmaceuticals. Port Louis is home to the biggest port facility in the Indian Ocean region and one of Africa's major financial centers. is port louis mauritius in the atlantic or pacific ocean? I think the answer is No\nAI: The answer is No\nHuman: A political gesture. A gesture of defiance. Does the word \"gesture\" have the same meaning in each sentence? I think the answer is Yes\nAI: The answer is Yes\nHuman: The nap was a welcome refresher. He stopped at the bar for a quick refresher. Does the word \"refresher\" have the same meaning in each sentence? I think the answer is Yes\nAI: The answer is Yes\nHuman: List of films with a 0% rating on Rotten Tomatoes -- On the film review aggregation website Rotten Tomatoes, films that all surveyed critics consider bad have a 0% rating. Some of these are often considered some of the worst films ever made. is there a movie with 0 on rotten tomatoes? I think the answer is Yes\nAI: The answer is", "classes": [" Yes", " No"], "target": 0, "evaluation_predictions": [-8.7219820022583, -6.441775321960449, -11.807953834533691, -2.8841583728790283, -1.4933266639709473, -1.9735318422317505, -8.166641235351562, -5.761354923248291, -0.13503901660442352, -2.5420005321502686, -0.15800517797470093, -7.911617279052734, -1.0379799604415894, -2.546473979949951, -9.75401496887207, -0.3683653175830841, -1.0043672323226929, -4.72767972946167, -1.4344358444213867, -1.6673550605773926, -2.60847806930542, -2.180704116821289, -1.6163759231567383, -3.7146153450012207, -4.139770030975342, -3.678450584411621, -1.0625940561294556, -2.669395923614502, -3.174931287765503, -3.3674981594085693, -0.0011593532981351018, -3.07673978805542, -4.184258460998535, -1.6137065887451172, -1.145235300064087, -0.19999884068965912, -0.22734954953193665, -2.9576215744018555, -0.9489744901657104, -0.9344830513000488, -0.9785065054893494, -7.636733531951904, -3.486179828643799, 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{"text": "\"\"\"\nTest the session-flushing middleware\n\"\"\"\nimport unittest\n\nfrom django.conf import settings\nfrom django.test import Client\n\n\[email protected](settings.ROOT_URLCONF == 'lms.urls', 'Test only valid in lms')\nclass TestSessionFlushMiddleware(unittest.TestCase):\n \"\"\"\n Ensure that if the pipeline is exited when it's been quarantined,\n the entire session is flushed.\n \"\"\"\n def test_session_flush(self):\n \"\"\"\n Test that a quarantined session is flushed when navigating elsewhere\n \"\"\"\n client = Client()\n session = client.session\n session['fancy_variable'] = 13025\n session['partial_pipeline'] = 'pipeline_running'\n session['third_party_auth_quarantined_modules'] = ('fake_quarantined_module',)\n session.save()\n client.get('/')\n self.assertEqual(client.session.get('fancy_variable', None), None)\n\n def test_session_no_running_pipeline(self):\n \"\"\"\n Test that a quarantined session without a running pipeline is not flushed\n \"\"\"\n client = Client()\n session = client.session\n session['fancy_variable'] = 13025\n session['third_party_auth_quarantined_modules'] = ('fake_quarantined_module',)\n session.save()\n client.get('/')\n self.assertEqual(client.session.get('fancy_variable', None), 13025)\n\n def test_session_no_quarantine(self):\n \"\"\"\n Test that a session with a running pipeline but no quarantine is not flushed\n \"\"\"\n client = Client()\n session = client.session\n session['fancy_variable'] = 13025\n session['partial_pipeline'] = 'pipeline_running'\n session.save()\n client.get('/')\n self.assertEqual(client.session.get('fancy_variable', None), 13025)\n", "score": 0.0027979854504756574}
{"text": "# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n#\n\n\"\"\"Add ip_allocation to port \"\"\"\n\nfrom alembic import op\nimport sqlalchemy as sa\n\nfrom neutron.db import migration\n\n\n# revision identifiers, used by Alembic.\nrevision = '5cd92597d11d'\ndown_revision = '6b461a21bcfc'\n\n# milestone identifier, used by neutron-db-manage\nneutron_milestone = [migration.NEWTON]\n\n\ndef upgrade():\n op.add_column('ports',\n sa.Column('ip_allocation',\n sa.String(length=16),\n nullable=True))\n", "score": 0.0}
{"text": "# Copyright (c) 2016 Ansible, Inc.\n# All Rights Reserved\n\n# Django\nfrom django.core.management.base import BaseCommand\nfrom django.core.management.base import CommandError\nfrom django.contrib.auth.models import User\n\n\nclass UpdatePassword(object):\n def update_password(self, username, password):\n changed = False\n u = User.objects.get(username=username)\n if not u:\n raise RuntimeError(\"User not found\")\n check = u.check_password(password)\n if not check:\n u.set_password(password)\n u.save()\n changed = True\n return changed\n\n\nclass Command(BaseCommand):\n def add_arguments(self, parser):\n parser.add_argument('--username', dest='username', action='store', type=str, default=None,\n help='username to change the password for')\n parser.add_argument('--password', dest='password', action='store', type=str, default=None,\n help='new password for user')\n\n def handle(self, *args, **options):\n if not options['username']:\n raise CommandError('username required')\n if not options['password']:\n raise CommandError('password required')\n\n cp = UpdatePassword()\n res = cp.update_password(options['username'], options['password'])\n if res:\n return \"Password updated\"\n return \"Password not updated\"\n", "score": 0.0014074595355383533}
{"text": "import uuid\n\nfrom django import forms\nfrom django.utils.translation import ugettext as _\nfrom django.utils.text import slugify\nfrom crispy_forms.helper import FormHelper\nfrom crispy_forms.layout import Div, Field, HTML, Layout, Fieldset\nfrom crispy_forms.bootstrap import PrependedText\nfrom django.template import RequestContext\n\nfrom .models import Event\n\n\nclass EventForm(forms.ModelForm):\n\n def __init__(self, user, *args, **kwargs):\n self.user = user\n super(EventForm, self).__init__(*args, **kwargs)\n\n @property\n def helper(self):\n helper = FormHelper()\n helper.render_unmentioned_fields = True\n helper.form_tag = False\n\n helper.layout = Layout(\n Fieldset(\n _(u'Event'),\n Div(Div(Field('summary', placeholder=_(u'Event summary')), css_class='col-sm-6'),\n Div(Field('category', placeholder=_(\"Category\")), css_class='col-sm-6'),\n css_class='row'\n ),\n\n Div(Div(Field('tags', placeholder=_(\"keyword, keyword 1, key word 2\")), css_class=\"col-sm-12\"),\n css_class=\"row\"\n ),\n Div(Div(Field('description', help_text=_('tada')), css_class=\"col-sm-12\"),\n css_class=\"row\"\n ),\n ),\n Fieldset(\n _(u'Contact'),\n Div(Div(Field('email', placeholder=_(\"Contact Email\")), css_class=\"col-sm-6\"),\n Div(Field('web', placeholder=_(\"Web site URL\")), css_class=\"col-sm-6\"),\n css_class=\"row\"\n ),\n ),\n Fieldset(\n _(u'Date'),\n Div(Div(Field('dtstart', placeholder=_(u'From')), css_class='col-sm-6'),\n Div(Field('dtend', placeholder=_(u'To')), css_class='col-sm-6'),\n css_class='row'\n ),\n Div(Div(Field('allday'), css_class='col-sm-12'),\n css_class='row'\n ),\n ),\n Fieldset(\n _(u'Location'),\n Div(Div(Field('country', placeholder=_(\"country\")), HTML('''{% load i18n %}<p class=\"help-block\"><button id=\"geosearch-button\" type=\"button\" class=\"btn btn-default\">\n {% trans 'Geolocate' %}</button> Try to geolocate from the given address.\n </p>'''), css_class=\"col-sm-6\"),\n Div(Field('address', placeholder=_(\n'''Street\n\n\n\\n\n\n\n ZipCode City''')), css_class=\"col-sm-6\"),\n css_class=\"row\"\n ),\n Div(Div(HTML('''<div style=\"height:350px;\" id=\"map\"></div><br>'''), css_class=\"col-sm-12\"),\n css_class=\"row\"),\n Div(Div(Field('lat', placeholder=_(\"Location latitude\")), css_class=\"col-sm-6\"),\n Div(Field('lon', placeholder=_(\"Location longitude\")), css_class=\"col-sm-6\"),\n css_class=\"row\"),\n ),\n )\n\n return helper\n\n class Meta:\n model = Event\n widgets = {\n 'description': forms.Textarea(attrs={'cols': 10, 'rows': 6}),\n 'address': forms.Textarea(attrs={'cols': 10, 'rows': 3}),\n 'dtstart': forms.DateInput(attrs={'class': 'datepicker'}),\n 'dtend': forms.DateInput(attrs={'class': 'datepicker'}),\n 'lat':forms.HiddenInput(),\n 'lon':forms.HiddenInput(),\n }\n #fields = \"__all__\"\n exclude =['slug', 'pub_status', 'status', 'sequence', 'creation_user']\n\n class Media:\n js = [\"/static/thedirectory/js/map_mini.js\"]\n\n def save(self, commit=True):\n u'''Add the slug value'''\n\n event = super(EventForm, self).save(commit=False)\n\n if not event.slug:\n event.slug = slugify(self.cleaned_data.get('summary'))\n try:\n Event.objects.get(slug=event.slug)\n event.slug = \"%s-%s\" % (event.slug, str(uuid.uuid4())[:5])\n except Event.DoesNotExist:\n pass\n if commit:\n event.creation_user = self.user\n event.save()\n self.save_m2m()\n return event\n", "score": 0.0059594755661501785}
{"text": "\"\"\"Views handler for ask admin page rendering.\"\"\"\nfrom django.core.urlresolvers import reverse\n\nimport simplejson as json\n\nfrom django.http import Http404, HttpResponse\nfrom django.template.loader import render_to_string\nfrom django.core.mail.message import EmailMultiAlternatives\nfrom apps.managers.challenge_mgr import challenge_mgr\n\nfrom apps.widgets.ask_admin.forms import FeedbackForm\n\n\ndef supply(request, page_name):\n \"\"\"Supply view_objects for widget rendering, returns form.\"\"\"\n _ = request\n _ = page_name\n form = FeedbackForm(auto_id=\"help_%s\")\n form.url = reverse(\"help_index\")\n return {\n \"form\": form,\n }\n\n\ndef send_feedback(request):\n \"\"\"send feedback.\"\"\"\n if request.method == \"POST\":\n form = FeedbackForm(request.POST)\n if form.is_valid():\n html_message = render_to_string(\"email/ask_admin.html\", {\n \"user\": request.user,\n \"url\": form.cleaned_data[\"url\"],\n \"question\": form.cleaned_data[\"question\"],\n })\n message = render_to_string(\"email/ask_admin.txt\", {\n \"user\": request.user,\n \"url\": form.cleaned_data[\"url\"],\n \"question\": form.cleaned_data[\"question\"],\n })\n\n challenge = challenge_mgr.get_challenge()\n # Using adapted version from Django source code\n subject = u'[%s] %s asked a question' % (\n challenge.name,\n request.user.get_profile().name)\n\n if challenge.email_enabled or True:\n mail = EmailMultiAlternatives(subject, message, challenge.contact_email,\n [challenge.contact_email, ], headers={\n \"Reply-To\": request.user.email})\n\n mail.attach_alternative(html_message, 'text/html')\n print html_message\n mail.send()\n\n #print \"email sent %s\" % html_message\n if request.is_ajax():\n return HttpResponse(json.dumps({\"success\": True}),\n mimetype=\"application/json\")\n\n raise Http404\n", "score": 0.0018709073900841909}
{"text": "# This code was originally contributed by Jeffrey Harris.\nimport datetime\nimport struct\n\nfrom six.moves import winreg\nfrom six import text_type\n\ntry:\n import ctypes\n from ctypes import wintypes\nexcept ValueError:\n # ValueError is raised on non-Windows systems for some horrible reason.\n raise ImportError(\"Running tzwin on non-Windows system\")\n\nfrom ._common import tzrangebase\n\n__all__ = [\"tzwin\", \"tzwinlocal\", \"tzres\"]\n\nONEWEEK = datetime.timedelta(7)\n\nTZKEYNAMENT = r\"SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Time Zones\"\nTZKEYNAME9X = r\"SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Time Zones\"\nTZLOCALKEYNAME = r\"SYSTEM\\CurrentControlSet\\Control\\TimeZoneInformation\"\n\n\ndef _settzkeyname():\n handle = winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE)\n try:\n winreg.OpenKey(handle, TZKEYNAMENT).Close()\n TZKEYNAME = TZKEYNAMENT\n except WindowsError:\n TZKEYNAME = TZKEYNAME9X\n handle.Close()\n return TZKEYNAME\n\n\nTZKEYNAME = _settzkeyname()\n\n\nclass tzres(object):\n \"\"\"\n Class for accessing `tzres.dll`, which contains timezone name related\n resources.\n\n .. versionadded:: 2.5.0\n \"\"\"\n p_wchar = ctypes.POINTER(wintypes.WCHAR) # Pointer to a wide char\n\n def __init__(self, tzres_loc='tzres.dll'):\n # Load the user32 DLL so we can load strings from tzres\n user32 = ctypes.WinDLL('user32')\n\n # Specify the LoadStringW function\n user32.LoadStringW.argtypes = (wintypes.HINSTANCE,\n wintypes.UINT,\n wintypes.LPWSTR,\n ctypes.c_int)\n\n self.LoadStringW = user32.LoadStringW\n self._tzres = ctypes.WinDLL(tzres_loc)\n self.tzres_loc = tzres_loc\n\n def load_name(self, offset):\n \"\"\"\n Load a timezone name from a DLL offset (integer).\n\n >>> from dateutil.tzwin import tzres\n >>> tzr = tzres()\n >>> print(tzr.load_name(112))\n 'Eastern Standard Time'\n\n :param offset:\n A positive integer value referring to a string from the tzres dll.\n\n ..note:\n Offsets found in the registry are generally of the form\n `@tzres.dll,-114`. The offset in this case if 114, not -114.\n\n \"\"\"\n resource = self.p_wchar()\n lpBuffer = ctypes.cast(ctypes.byref(resource), wintypes.LPWSTR)\n nchar = self.LoadStringW(self._tzres._handle, offset, lpBuffer, 0)\n return resource[:nchar]\n\n def name_from_string(self, tzname_str):\n \"\"\"\n Parse strings as returned from the Windows registry into the time zone\n name as defined in the registry.\n\n >>> from dateutil.tzwin import tzres\n >>> tzr = tzres()\n >>> print(tzr.name_from_string('@tzres.dll,-251'))\n 'Dateline Daylight Time'\n >>> print(tzr.name_from_string('Eastern Standard Time'))\n 'Eastern Standard Time'\n\n :param tzname_str:\n A timezone name string as returned from a Windows registry key.\n\n :return:\n Returns the localized timezone string from tzres.dll if the string\n is of the form `@tzres.dll,-offset`, else returns the input string.\n \"\"\"\n if not tzname_str.startswith('@'):\n return tzname_str\n\n name_splt = tzname_str.split(',-')\n try:\n offset = int(name_splt[1])\n except:\n raise ValueError(\"Malformed timezone string.\")\n\n return self.load_name(offset)\n\n\nclass tzwinbase(tzrangebase):\n \"\"\"tzinfo class based on win32's timezones available in the registry.\"\"\"\n def __init__(self):\n raise NotImplementedError('tzwinbase is an abstract base class')\n\n def __eq__(self, other):\n # Compare on all relevant dimensions, including name.\n if not isinstance(other, tzwinbase):\n return NotImplemented\n\n return (self._std_offset == other._std_offset and\n self._dst_offset == other._dst_offset and\n self._stddayofweek == other._stddayofweek and\n self._dstdayofweek == other._dstdayofweek and\n self._stdweeknumber == other._stdweeknumber and\n self._dstweeknumber == other._dstweeknumber and\n self._stdhour == other._stdhour and\n self._dsthour == other._dsthour and\n self._stdminute == other._stdminute and\n self._dstminute == other._dstminute and\n self._std_abbr == other._std_abbr and\n self._dst_abbr == other._dst_abbr)\n\n @staticmethod\n def list():\n \"\"\"Return a list of all time zones known to the system.\"\"\"\n with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle:\n with winreg.OpenKey(handle, TZKEYNAME) as tzkey:\n result = [winreg.EnumKey(tzkey, i)\n for i in range(winreg.QueryInfoKey(tzkey)[0])]\n return result\n\n def display(self):\n return self._display\n\n def transitions(self, year):\n \"\"\"\n For a given year, get the DST on and off transition times, expressed\n always on the standard time side. For zones with no transitions, this\n function returns ``None``.\n\n :param year:\n The year whose transitions you would like to query.\n\n :return:\n Returns a :class:`tuple` of :class:`datetime.datetime` objects,\n ``(dston, dstoff)`` for zones with an annual DST transition, or\n ``None`` for fixed offset zones.\n \"\"\"\n\n if not self.hasdst:\n return None\n\n dston = picknthweekday(year, self._dstmonth, self._dstdayofweek,\n self._dsthour, self._dstminute,\n self._dstweeknumber)\n\n dstoff = picknthweekday(year, self._stdmonth, self._stddayofweek,\n self._stdhour, self._stdminute,\n self._stdweeknumber)\n\n # Ambiguous dates default to the STD side\n dstoff -= self._dst_base_offset\n\n return dston, dstoff\n\n def _get_hasdst(self):\n return self._dstmonth != 0\n\n @property\n def _dst_base_offset(self):\n return self._dst_base_offset_\n\n\nclass tzwin(tzwinbase):\n\n def __init__(self, name):\n self._name = name\n\n with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle:\n tzkeyname = text_type(\"{kn}\\\\{name}\").format(kn=TZKEYNAME, name=name)\n with winreg.OpenKey(handle, tzkeyname) as tzkey:\n keydict = valuestodict(tzkey)\n\n self._std_abbr = keydict[\"Std\"]\n self._dst_abbr = keydict[\"Dlt\"]\n\n self._display = keydict[\"Display\"]\n\n # See http://ww_winreg.jsiinc.com/SUBA/tip0300/rh0398.htm\n tup = struct.unpack(\"=3l16h\", keydict[\"TZI\"])\n stdoffset = -tup[0]-tup[1] # Bias + StandardBias * -1\n dstoffset = stdoffset-tup[2] # + DaylightBias * -1\n self._std_offset = datetime.timedelta(minutes=stdoffset)\n self._dst_offset = datetime.timedelta(minutes=dstoffset)\n\n # for the meaning see the win32 TIME_ZONE_INFORMATION structure docs\n # http://msdn.microsoft.com/en-us/library/windows/desktop/ms725481(v=vs.85).aspx\n (self._stdmonth,\n self._stddayofweek, # Sunday = 0\n self._stdweeknumber, # Last = 5\n self._stdhour,\n self._stdminute) = tup[4:9]\n\n (self._dstmonth,\n self._dstdayofweek, # Sunday = 0\n self._dstweeknumber, # Last = 5\n self._dsthour,\n self._dstminute) = tup[12:17]\n\n self._dst_base_offset_ = self._dst_offset - self._std_offset\n self.hasdst = self._get_hasdst()\n\n def __repr__(self):\n return \"tzwin(%s)\" % repr(self._name)\n\n def __reduce__(self):\n return (self.__class__, (self._name,))\n\n\nclass tzwinlocal(tzwinbase):\n def __init__(self):\n with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle:\n with winreg.OpenKey(handle, TZLOCALKEYNAME) as tzlocalkey:\n keydict = valuestodict(tzlocalkey)\n\n self._std_abbr = keydict[\"StandardName\"]\n self._dst_abbr = keydict[\"DaylightName\"]\n\n try:\n tzkeyname = text_type('{kn}\\\\{sn}').format(kn=TZKEYNAME,\n sn=self._std_abbr)\n with winreg.OpenKey(handle, tzkeyname) as tzkey:\n _keydict = valuestodict(tzkey)\n self._display = _keydict[\"Display\"]\n except OSError:\n self._display = None\n\n stdoffset = -keydict[\"Bias\"]-keydict[\"StandardBias\"]\n dstoffset = stdoffset-keydict[\"DaylightBias\"]\n\n self._std_offset = datetime.timedelta(minutes=stdoffset)\n self._dst_offset = datetime.timedelta(minutes=dstoffset)\n\n # For reasons unclear, in this particular key, the day of week has been\n # moved to the END of the SYSTEMTIME structure.\n tup = struct.unpack(\"=8h\", keydict[\"StandardStart\"])\n\n (self._stdmonth,\n self._stdweeknumber, # Last = 5\n self._stdhour,\n self._stdminute) = tup[1:5]\n\n self._stddayofweek = tup[7]\n\n tup = struct.unpack(\"=8h\", keydict[\"DaylightStart\"])\n\n (self._dstmonth,\n self._dstweeknumber, # Last = 5\n self._dsthour,\n self._dstminute) = tup[1:5]\n\n self._dstdayofweek = tup[7]\n\n self._dst_base_offset_ = self._dst_offset - self._std_offset\n self.hasdst = self._get_hasdst()\n\n def __repr__(self):\n return \"tzwinlocal()\"\n\n def __str__(self):\n # str will return the standard name, not the daylight name.\n return \"tzwinlocal(%s)\" % repr(self._std_abbr)\n\n def __reduce__(self):\n return (self.__class__, ())\n\n\ndef picknthweekday(year, month, dayofweek, hour, minute, whichweek):\n \"\"\" dayofweek == 0 means Sunday, whichweek 5 means last instance \"\"\"\n first = datetime.datetime(year, month, 1, hour, minute)\n\n # This will work if dayofweek is ISO weekday (1-7) or Microsoft-style (0-6),\n # Because 7 % 7 = 0\n weekdayone = first.replace(day=((dayofweek - first.isoweekday()) % 7) + 1)\n wd = weekdayone + ((whichweek - 1) * ONEWEEK)\n if (wd.month != month):\n wd -= ONEWEEK\n\n return wd\n\n\ndef valuestodict(key):\n \"\"\"Convert a registry key's values to a dictionary.\"\"\"\n dout = {}\n size = winreg.QueryInfoKey(key)[1]\n tz_res = None\n\n for i in range(size):\n key_name, value, dtype = winreg.EnumValue(key, i)\n if dtype == winreg.REG_DWORD or dtype == winreg.REG_DWORD_LITTLE_ENDIAN:\n # If it's a DWORD (32-bit integer), it's stored as unsigned - convert\n # that to a proper signed integer\n if value & (1 << 31):\n value = value - (1 << 32)\n elif dtype == winreg.REG_SZ:\n # If it's a reference to the tzres DLL, load the actual string\n if value.startswith('@tzres'):\n tz_res = tz_res or tzres()\n value = tz_res.name_from_string(value)\n\n value = value.rstrip('\\x00') # Remove trailing nulls\n\n dout[key_name] = value\n\n return dout\n", "score": 0.0006184838310655593}
{"text": "#!/usr/bin/env python\n#-*- coding: utf-8 -*-\n\n\"\"\"\nfeed2db works to turn text-based feed list into database\n\"\"\"\n# @author chengdujin\n# @contact [email protected]\n# @created Jul. 30, 2013\n\n\nimport sys\n\nreload(sys)\nsys.setdefaultencoding('UTF-8')\nsys.path.append('../..')\n\nfrom config.settings import Collection\nfrom config.settings import db\n\n# CONSTANTS\nfrom config.settings import FEED_REGISTRAR\n#FILE_PREFIX = '/home/work/newsman/newsman/bin/text_based_feeds/feed_lists/'\n#FILE_PREFIX = '/home/users/jinyuan/newsman/newsman/bin/text_based_feeds\n# /feed_lists/'\n#FILE_PREFIX = '/home/ubuntu/newsman/newsman/bin/text_based_feeds/feed_lists/'\n#FILE_PREFIX = '/home/jinyuan/Downloads/newsman/newsman/bin/text_based_feeds\n# /feed_lists/'\n\n\ndef _parse_task(line):\n \"\"\"\n read *_feeds_list.txt\n \"\"\"\n line = line.strip()\n if line:\n task = line.strip().split('*|*')\n # task[1] refers to categories\n if len(task) == 5:\n return task[0].strip(), task[1].strip(), task[2].strip(), task[\n 3].strip(), task[4].strip(), None\n else:\n return task[0].strip(), task[1].strip(), task[2].strip(), task[\n 3].strip(), task[4].strip(), task[5].strip()\n else:\n return None\n\n\ndef _convert(language='en', country=None):\n \"\"\"\n turn text-based feed infor into database items\n Note. 1. categories: [(), ()]\n \"\"\"\n # read in file content\n feeds_list = open('%s%s_%s_feeds_list' %\n (FILE_PREFIX, language, country), 'r')\n lines = feeds_list.readlines()\n feeds_list.close()\n\n link_dict = title_dict = {}\n\n for line in lines:\n if line.strip():\n language, category, transcoder, link, title, labels = _parse_task(\n line)\n # link check\n if link not in link_dict:\n link_dict[link] = title\n else:\n print link, title\n # title check\n if title not in title_dict:\n title_dict[title] = link\n else:\n print title, link\n\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n _convert(sys.argv[1], sys.argv[2])\n else:\n print 'Please indicate a language and country'\n", "score": 0.003552397868561279}
{"text": "#!/usr/bin/python\n#CHIPSEC: Platform Security Assessment Framework\n#Copyright (c) 2010-2015, Intel Corporation\n# \n#This program is free software; you can redistribute it and/or\n#modify it under the terms of the GNU General Public License\n#as published by the Free Software Foundation; Version 2.\n#\n#This program is distributed in the hope that it will be useful,\n#but WITHOUT ANY WARRANTY; without even the implied warranty of\n#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n#GNU General Public License for more details.\n#\n#You should have received a copy of the GNU General Public License\n#along with this program; if not, write to the Free Software\n#Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.\n#\n#Contact information:\n#[email protected]\n#\n\n\n\n\"\"\"\nThe mem command provides direct access to read and write physical memory.\n\"\"\"\n\nimport os\nimport time\n\nimport chipsec_util\nimport chipsec.defines\nimport chipsec.file\n\nfrom chipsec.logger import print_buffer\nfrom chipsec.command import BaseCommand\n\ndef read_mem(pa, size = chipsec.defines.BOUNDARY_4KB):\n try:\n buffer = chipsec_util._cs.mem.read_physical_mem( pa, size )\n except:\n buffer = None\n return buffer\n\ndef dump_region_to_path(path, pa_start, pa_end):\n pa = (pa_start + chipsec.defines.ALIGNED_4KB) & ~chipsec.defines.ALIGNED_4KB\n end = pa_end & ~chipsec.defines.ALIGNED_4KB\n head_len = pa - pa_start\n tail_len = pa_end - end\n f = None\n\n # read leading bytes to the next boundary\n if (head_len > 0):\n b = read_mem(pa_start, head_len)\n if b is not None:\n fname = os.path.join(path, \"m%016X.bin\" % pa_start)\n f = open(fname, 'wb')\n f.write(b)\n\n while pa < end:\n b = read_mem(pa)\n if b is not None:\n if f is None:\n fname = os.path.join(path, \"m%016X.bin\" % pa)\n f = open(fname, 'wb')\n f.write(b)\n else:\n if f is not None:\n f.close()\n f = None\n pa += chipsec.defines.BOUNDARY_4KB\n\n # read trailing bytes\n if (tail_len > 0):\n b = read_mem(end, tail_len)\n if b is not None:\n if f is None:\n fname = os.path.join(path, \"m%016X.bin\" % end)\n f = open(fname, 'wb')\n f.write(b)\n\n if f is not None:\n f.close()\n\n\n# Physical Memory\nclass MemCommand(BaseCommand):\n \"\"\"\n >>> chipsec_util mem <op> <physical_address> <length> [value|buffer_file]\n >>>\n >>> <physical_address> : 64-bit physical address\n >>> <op> : read|readval|write|writeval|allocate|pagedump\n >>> <length> : byte|word|dword or length of the buffer from <buffer_file>\n >>> <value> : byte, word or dword value to be written to memory at <physical_address>\n >>> <buffer_file> : file with the contents to be written to memory at <physical_address>\n\n Examples:\n\n >>> chipsec_util mem <op> <physical_address> <length> [value|file] \n >>> chipsec_util mem readval 0xFED40000 dword\n >>> chipsec_util mem read 0x41E 0x20 buffer.bin\n >>> chipsec_util mem writeval 0xA0000 dword 0x9090CCCC\n >>> chipsec_util mem write 0x100000000 0x1000 buffer.bin\n >>> chipsec_util mem write 0x100000000 0x10 000102030405060708090A0B0C0D0E0F\n >>> chipsec_util mem allocate 0x1000\n >>> chipsec_util mem pagedump 0xFED00000 0x100000\n >>> chipsec_util mem search 0xF0000 0x10000 _SM_ \n \"\"\"\n\n\n def requires_driver(self):\n # No driver required when printing the util documentation\n if len(self.argv) < 3:\n return False\n return True\n\n def run(self):\n size = 0x100\n\n if len(self.argv) < 3:\n print MemCommand.__doc__\n return\n\n op = self.argv[2]\n t = time.time()\n\n if 'allocate' == op and 4 == len(self.argv):\n size = int(self.argv[3],16)\n (va, pa) = self.cs.mem.alloc_physical_mem( size )\n self.logger.log( '[CHIPSEC] Allocated %X bytes of physical memory: VA = 0x%016X, PA = 0x%016X' % (size, va, pa) )\n\n elif 'search' == op and len(self.argv) > 5:\n phys_address = int(self.argv[3],16)\n size = int(self.argv[4],16)\n \n buffer = self.cs.mem.read_physical_mem( phys_address, size )\n offset = buffer.find(self.argv[5])\n\n if offset != -1:\n self.logger.log( '[CHIPSEC] search buffer from memory: PA = 0x%016X, len = 0x%X, target address= 0x%X..' % (phys_address, size, phys_address + offset) )\n else:\n self.logger.log( '[CHIPSEC] search buffer from memory: PA = 0x%016X, len = 0x%X, can not find the target in the searched range..' % (phys_address, size) )\n\n elif 'pagedump' == op and len(self.argv) > 3:\n start = long(self.argv[3],16)\n length = long(self.argv[4],16) if len(self.argv) > 4 else chipsec.defines.BOUNDARY_4KB\n end = start + length\n\n dump_region_to_path( chipsec.file.get_main_dir(), start, end )\n\n elif 'read' == op:\n phys_address = int(self.argv[3],16)\n size = int(self.argv[4],16) if len(self.argv) > 4 else 0x100\n self.logger.log( '[CHIPSEC] reading buffer from memory: PA = 0x%016X, len = 0x%X..' % (phys_address, size) )\n buffer = self.cs.mem.read_physical_mem( phys_address, size )\n if len(self.argv) > 5:\n buf_file = self.argv[5]\n chipsec.file.write_file( buf_file, buffer )\n self.logger.log( \"[CHIPSEC] written 0x%X bytes to '%s'\" % (len(buffer), buf_file) )\n else:\n print_buffer( buffer )\n\n elif 'readval' == op:\n phys_address = int(self.argv[3],16)\n width = 0x4\n if len(self.argv) > 4: \n width = chipsec_util.get_option_width(self.argv[4]) if chipsec_util.is_option_valid_width(self.argv[4]) else int(self.argv[4],16)\n self.logger.log( '[CHIPSEC] reading %X-byte value from PA 0x%016X..' % (width, phys_address) )\n if 0x1 == width: value = self.cs.mem.read_physical_mem_byte ( phys_address )\n elif 0x2 == width: value = self.cs.mem.read_physical_mem_word ( phys_address )\n elif 0x4 == width: value = self.cs.mem.read_physical_mem_dword( phys_address )\n self.logger.log( '[CHIPSEC] value = 0x%X' % value )\n\n elif 'write' == op:\n phys_address = int(self.argv[3],16)\n if len(self.argv) > 4: \n size = int(self.argv[4],16)\n else:\n self.logger.error( \"must specify <length> argument in 'mem write'\" )\n return\n if len(self.argv) > 5:\n buf_file = self.argv[5]\n if not os.path.exists( buf_file ):\n #buffer = buf_file.decode('hex')\n try:\n buffer = bytearray.fromhex(buf_file)\n except ValueError, e:\n self.logger.error( \"incorrect <value> specified: '%s'\" % buf_file )\n self.logger.error( str(e) )\n return\n self.logger.log( \"[CHIPSEC] read 0x%X hex bytes from command-line: %s'\" % (len(buffer), buf_file) )\n else:\n buffer = chipsec.file.read_file( buf_file )\n self.logger.log( \"[CHIPSEC] read 0x%X bytes from file '%s'\" % (len(buffer), buf_file) )\n\n if len(buffer) < size:\n self.logger.error( \"number of bytes read (0x%X) is less than the specified <length> (0x%X)\" % (len(buffer),size) )\n return\n\n self.logger.log( '[CHIPSEC] writing buffer to memory: PA = 0x%016X, len = 0x%X..' % (phys_address, size) )\n self.cs.mem.write_physical_mem( phys_address, size, buffer )\n else:\n self.logger.error( \"must specify <buffer>|<file> argument in 'mem write'\" )\n return\n\n elif 'writeval' == op:\n phys_address = int(self.argv[3],16)\n if len(self.argv) > 4: \n width = chipsec_util.get_option_width(self.argv[4]) if chipsec_util.is_option_valid_width(self.argv[4]) else int(self.argv[4],16)\n else:\n self.logger.error( \"must specify <length> argument in 'mem writeval' as one of %s\" % chipsec_util.CMD_OPTS_WIDTH )\n return\n if len(self.argv) > 5: \n value = int(self.argv[5],16)\n else:\n self.logger.error( \"must specify <value> argument in 'mem writeval'\" )\n return\n\n self.logger.log( '[CHIPSEC] writing %X-byte value 0x%X to PA 0x%016X..' % (width, value, phys_address) )\n if 0x1 == width: self.cs.mem.write_physical_mem_byte ( phys_address, value )\n elif 0x2 == width: self.cs.mem.write_physical_mem_word ( phys_address, value )\n elif 0x4 == width: self.cs.mem.write_physical_mem_dword( phys_address, value )\n\n else:\n print MemCommand.__doc__\n return\n\n self.logger.log( \"[CHIPSEC] (mem) time elapsed %.3f\" % (time.time()-t) )\n\ncommands = { 'mem': MemCommand }\n\n", "score": 0.01857292759706191}
{"text": "# -*- coding: utf-8 -*-\nimport pytest\nfrom django.utils import timezone\nfrom nose.tools import * # noqa\n\nfrom framework.auth.core import Auth\nfrom osf_tests.factories import AuthUserFactory, ProjectFactory, UserFactory\nfrom scripts import parse_citation_styles\nfrom tests.base import OsfTestCase\nfrom osf.models import OSFUser as User, AbstractNode as Node\nfrom website.citations.utils import datetime_to_csl\nfrom website.util import api_url_for\n\npytestmark = pytest.mark.django_db\n\nclass CitationsUtilsTestCase(OsfTestCase):\n def test_datetime_to_csl(self):\n # Convert a datetime instance to csl's date-variable schema\n now = timezone.now()\n\n assert_equal(\n datetime_to_csl(now),\n {'date-parts': [[now.year, now.month, now.day]]},\n )\n\n\nclass CitationsNodeTestCase(OsfTestCase):\n def setUp(self):\n super(CitationsNodeTestCase, self).setUp()\n self.node = ProjectFactory()\n\n def tearDown(self):\n super(CitationsNodeTestCase, self).tearDown()\n Node.remove()\n User.remove()\n\n def test_csl_single_author(self):\n # Nodes with one contributor generate valid CSL-data\n assert_equal(\n self.node.csl,\n {\n 'publisher': 'Open Science Framework',\n 'author': [{\n 'given': self.node.creator.given_name,\n 'family': self.node.creator.family_name,\n }],\n 'URL': self.node.display_absolute_url,\n 'issued': datetime_to_csl(self.node.logs.latest().date),\n 'title': self.node.title,\n 'type': 'webpage',\n 'id': self.node._id,\n },\n )\n\n def test_csl_multiple_authors(self):\n # Nodes with multiple contributors generate valid CSL-data\n user = UserFactory()\n self.node.add_contributor(user)\n self.node.save()\n\n assert_equal(\n self.node.csl,\n {\n 'publisher': 'Open Science Framework',\n 'author': [\n {\n 'given': self.node.creator.given_name,\n 'family': self.node.creator.family_name,\n },\n {\n 'given': user.given_name,\n 'family': user.family_name,\n }\n ],\n 'URL': self.node.display_absolute_url,\n 'issued': datetime_to_csl(self.node.logs.latest().date),\n 'title': self.node.title,\n 'type': 'webpage',\n 'id': self.node._id,\n },\n )\n\n def test_non_visible_contributors_arent_included_in_csl(self):\n node = ProjectFactory()\n visible = UserFactory()\n node.add_contributor(visible, auth=Auth(node.creator))\n invisible = UserFactory()\n node.add_contributor(invisible, auth=Auth(node.creator), visible=False)\n node.save()\n assert_equal(len(node.csl['author']), 2)\n expected_authors = [\n contrib.csl_name for contrib in [node.creator, visible]\n ]\n\n assert_equal(node.csl['author'], expected_authors)\n\nclass CitationsUserTestCase(OsfTestCase):\n def setUp(self):\n super(CitationsUserTestCase, self).setUp()\n self.user = UserFactory()\n\n def tearDown(self):\n super(CitationsUserTestCase, self).tearDown()\n User.remove()\n\n def test_user_csl(self):\n # Convert a User instance to csl's name-variable schema\n assert_equal(\n self.user.csl_name,\n {\n 'given': self.user.given_name,\n 'family': self.user.family_name,\n },\n )\n\n\nclass CitationsViewsTestCase(OsfTestCase):\n\n @pytest.fixture(autouse=True)\n def _parsed_citation_styles(self):\n # populate the DB with parsed citation styles\n try:\n parse_citation_styles.main()\n except OSError:\n pass\n\n def test_list_styles(self):\n # Response includes a list of available citation styles\n response = self.app.get(api_url_for('list_citation_styles'))\n\n assert_true(response.json)\n\n assert_equal(\n len(\n [\n style for style in response.json['styles']\n if style.get('id') == 'bibtex'\n ]\n ),\n 1,\n )\n\n def test_list_styles_filter(self):\n # Response includes a list of available citation styles\n response = self.app.get(api_url_for('list_citation_styles', q='bibtex'))\n\n assert_true(response.json)\n\n assert_equal(\n len(response.json['styles']), 1\n )\n\n assert_equal(\n response.json['styles'][0]['id'], 'bibtex'\n )\n\n def test_node_citation_view(self):\n node = ProjectFactory()\n user = AuthUserFactory()\n node.add_contributor(user)\n node.save()\n response = self.app.get(\"/api/v1\" + \"/project/\" + node._id + \"/citation/\", auto_follow=True, auth=user.auth)\n assert_true(response.json)\n", "score": 0.0007766990291262136}
{"source": "hate_speech_offensive", "text": "!!! : as a woman you shouldnt complain about cleaning up your house. ; as a man you should always take the trash out...", "label": 0}
{"source": "hate_speech_offensive", "text": "!!!!! : boy dats cold...tyga dwn bad for cuffin dat hoe in the 1st place!!", "label": 1}
{"source": "hate_speech_offensive", "text": "!!!!!!! dawg!!!! : you ever fuck a bitch and she start to cry? you be confused as shit", "label": 1}
{"source": "hate_speech_offensive", "text": "!!!!!!!!! : she look like a tranny", "label": 1}
{"source": "hate_speech_offensive", "text": "!!!!!!!!!!!!! : the shit you hear about me might be true or it might be faker than the bitch who told it to ya &;", "label": 1}
{"source": "hate_speech_offensive", "text": "!!!!!!!!!!!!!!!!!!\": the shit just blows me..claim you so faithful and down for somebody but still fucking with hoes! &;&;&;\"", "label": 1}
{"source": "hate_speech_offensive", "text": "!!!!!!\": i can not just sit up and hate on another bitch .. i got too much shit going on!\"", "label": 1}
{"source": "hate_speech_offensive", "text": "!!!!&;: cause im tired of you big bitches coming for us skinny girls!!&;", "label": 1}
{"source": "hate_speech_offensive", "text": "\" ; you might not get ya bitch back ; thats that \"", "label": 1}
{"source": "hate_speech_offensive", "text": "\" :hobbies include: fighting mariam\"\n\nbitch", "label": 1}
{"hash": -8750605775063532866, "URL": "https://i0.wp.com/commentcava.org/wp-content/uploads/2015/07/meditation-matin1.jpg?resize=300%2C169&ssl=1", "TEXT": "meditation matin", "WIDTH": 300.0, "HEIGHT": 169.0, "similarity": 0.2936219573020935, "LANGUAGE": "sv", "pwatermark": 0.44881272315979004, "punsafe": 0.0030879974365234375, "ENG TEXT": "Meditation in the morning", "__index_level_0__": 11, "prediction": 5.401237964630127}
{"hash": -265679695040402468, "URL": "https://www.moodfabrics.com/media/catalog/product/cache/38fae06a17be7ec466ac988819e1b0d2/A/W/AWG1928.jpg", "TEXT": "British Imported Linen Wrinkled Drapery Sheer", "WIDTH": 300.0, "HEIGHT": 300.0, "similarity": 0.32022690773010254, "LANGUAGE": "no", "pwatermark": 0.9086263179779053, "punsafe": 0.9267511367797852, "ENG TEXT": "British Imported Linen Wrinkled Drapery Sheer", "__index_level_0__": 37, "prediction": 4.3305439949035645}
{"hash": 6274405344349052179, "URL": "http://a779.phobos.apple.com/us/r1000/117/Purple/v4/d4/d2/af/d4d2af0a-5703-7d21-3b64-2d2fee06bcac/mzl.mkbvmovc.150x150-75.png", "TEXT": "Sony IP Cams", "WIDTH": 150.0, "HEIGHT": 150.0, "similarity": 0.30812835693359375, "LANGUAGE": "mg", "pwatermark": 0.56634920835495, "punsafe": 0.00020334124565124512, "ENG TEXT": "by Sony IP Cams", "__index_level_0__": 0, "prediction": 4.836907386779785}
{"hash": 6100352002061086880, "URL": "https://poloar.vteximg.com.br/arquivos/ids/160416-292-292/Ar-Condicionado-Multi-Split-27000-quente-frio-poloar.png?v=636688952662470000", "TEXT": "Ar-Condicionado-Multi-Split-27000-quente-frio-poloar", "WIDTH": 292.0, "HEIGHT": 292.0, "similarity": 0.29285117983818054, "LANGUAGE": "gl", "pwatermark": 0.16652680933475494, "punsafe": 2.9151390208426164e-06, "ENG TEXT": "Air Conditioning-Multi-Split 27000-hot-cold-polar", "__index_level_0__": 0, "prediction": 5.315278053283691}
{"alloy_composition": "O 6 5 3 Zn 6 6 Te 2 3 3 Ho 1 Yb 1 3 W 3 3`"}
{"alloy_composition": "O 1 4 0 F 5 5 7 Mg 2 6 Al 9 1 P 3 6 S 8 Ca 7 8 Sr 6 5`"}
{"alloy_composition": "O 6 7 0 Mg 2 6 Al 1 5 P 2 3 8 K 5 1`"}
{"alloy_composition": "B 9 1 O 6 1 3 Al 8 P 1 4 4 Zn 2 7 Zr 4 Ag 1 0 3 La 8 W 2`"}
{"alloy_composition": "O 6 7 8 P 2 1 0 Ca 2 8 Fe 8 4`"}
{"texts": ["Leighton Meester\n\nBorn Leighton Marissa Claire Meester on April 9, 1986, she spent her earliest years on Marco Island, FL, and at age 11 moved with her mother to New York City. ", "In just three years in the Big Apple, she signed on with Wilhelmina Models, was shot by famed photographer Bruce Webber for a Ralph Lauren ad campaign, and, at just age 13, earned a guest role on NBC's hit New York-set crime drama \"Law & Order\" (1990- ). ", "With her career burgeoning, the family moved to Beverly Hills, CA, where Meester attended Beverly High School as so many stars-in-training had before her. ", "In October 2002, the Meesters found themselves unexpectedly mired in scandal when Leighton's brother Douglas was accused of raping ... Continue Bio >>"], "meta": {"pile_set_name": "Pile-CC"}, "scores": [0.0008783072698861361, 0.0006933968979865313, 0.0008977373945526779, 0.00985823106020689], "avg_score": 0.003081918155658059, "num_sents": 4}
{"texts": ["Welcome to our community\n\nBe apart of something great, join today!", "\n\nCheesemonger\n\nAustralia is now the first Western nation to ban security, following a decision by its parliament to pass a bill forcing companies to hand over encrypted data to police upon demand. ", "The government will be allowed to demand this without judicial review or oversight of any kind, beyond the requirement to get a warrant in the first place. ", "Furthermore, the law requires corporations to build tools to give them the ability to intercept data sought by police when such tools do not already exist."], "meta": {"pile_set_name": "Pile-CC"}, "scores": [0.0005727564566768706, 0.0016371452948078513, 0.0005574628012254834, 0.0006690213340334594], "avg_score": 0.0008590964716859162, "num_sents": 4}
{"texts": ["LIAR OF GOLGOTHA\n\nThe Long Forgotten Wastelands Lyrics\n\nThe closer I came the sweeter the smell. ", "I could feel powers of the\nAncient domain. ", "I travelled for years in search of this place: a place\nbeyond dreams, a place with no name.", "\nLost between pages of an old manuscript, scattered through ages as\nunholy relics. ", "Their powers were sleeping in hands of the fools, waiting\nto be woken by those who knew. ", "Unsure what to find in these unholy\ngrounds, the gateway to past opened to now.", "\nI will be Queen, for I opened the door. ", "I will be Legend after the\nAncient Ones return. ", "I have taken them out of their shells into my\ndeserts of the long forgotten wastelands."], "meta": {"pile_set_name": "Pile-CC"}, "scores": [0.21970856189727783, 0.0008312723366543651, 0.0006234144675545394, 0.0009373865323141217, 0.6020818948745728, 0.0008986287284642458, 0.0017202106537297368, 0.02263963781297207, 0.0049704150296747684], "avg_score": 0.09493460248146827, "num_sents": 9}
{"texts": ["Q:\n\nHow to identify ionic compounds\n\nI have a Chemistry lab in which I must design and carry out an experiment to determine the compound in each of eight numbered vials. ", "Each vial contains one of these ionic compounds:\n\nBaCl2\nCaCO3\nCa(OH)2\nKI\nNaCl\nNaHCO3\nNa2SO4\nPb(NO3)2\n\nMaterials:\n\nDistilled water\nSeveral microwell reaction plates\nTooth picks (to stir)\n8x 1mL Beral style pipets\nThe contents of the lab drawer (beakers, test tubes, etc.)", "\n\nIn addition to the materials above, one of the following four additional reagents may be used:\n\n6M H2SO4\n6M HCl\n6M NaOH\nphenolphthalein indicator solution\n\nI know how to identify a couple of them. ", "For instance, CaCO3 can be identified by its insolubility in water, but as for the rest, I'm not completely sure. ", "I know some can be identified by how and if they react with other compounds, but I don't know exactly how to go about that. ", "\n\nA:\n\nFirst, you can use phenolphthalein indicator solution, $\\ce{Ca(OH)2}$ and $\\ce{NaHCO3}$ will turn red. ", "Then use 6M $\\ce{HCl}$ and the $\\ce{NaHCO3}$ bubbles. ", "\n$\\ce{NaOH}$ to identify $\\ce{Pb(NO3)2}$: it generates precipitations. ", "Use $\\ce{Pb(NO3)2}$ to identify $\\ce{KI}$: generate golden precipitations. ", "\n$\\ce{H2SO4}$ with $\\ce{BaCl2}$ gives white precipitations, $\\ce{Na2SO4}$ with $\\ce{BaCl2}$ likewise. ", "So the rest is $\\ce{NaCl}$. \n\n"], "meta": {"pile_set_name": "StackExchange"}, "scores": [0.0005534845986403525, 0.0006712193135172129, 0.0005736155435442924, 0.0005696689477190375, 0.0005583796300925314, 0.01708289235830307, 0.004493087064474821, 0.0015062777092680335, 0.0009136438020505011, 0.056368403136730194, 0.0018184841610491276], "avg_score": 0.007737196024126289, "num_sents": 11}
{"texts": ["2-phosphonomethyl-pentanedioic acid (glutamate carboxypeptidase II inhibitor) increases threshold for electroconvulsions and enhances the antiseizure action of valproate against maximal electroshock-induced seizures in mice.", "\nThis study examined the effect of 2-(phosphonomethyl)-pentanedioic acid (2-PMPA), a potent and selective inhibitor of glutamate carboxypeptidase II (GCP II), an enzyme releasing glutamate and N-acetyl-aspartate from synaptical terminals, on the electroconvulsive threshold in mice. ", "Moreover, the influence of 2-PMPA on the anticonvulsant activities of four conventional antiepileptic drugs (carbamazepine, phenobarbital, phenytoin and valproate) was evaluated in the maximal electroshock-induced seizure test in mice. ", "Results indicated that 2-PMPA (at a dose range of 50-200 mg/kg, i.p.) ", "raised the electroconvulsive threshold in mice dose-dependently. ", "Linear regression analysis of dose-response relationship between the doses of 2-PMPA and their corresponding threshold values allowed the calculation of threshold increasing dose by 20% (TID20), which was 109.2 mg/kg. ", "Moreover, 2-PMPA administered i.p. ", "at a constant dose of 150 mg/kg (the dose increasing the threshold for electroconvulsions) enhanced significantly the anticonvulsant action of valproate, by reducing its median effective dose (ED50) from 281.4 to 230.1 mg/kg (P<0.05). ", "In contrast, 2-PMPA at the lower dose of 100 mg/kg (i.p.) ", "had no impact on the antiseizure activity of valproate in the maximal electroshock-induced seizure test. ", "Likewise, 2-PMPA at 100 and 150 mg/kg did not affect the antiseizure action of carbamazepine, phenobarbital and phenytoin against maximal electroshock-induced seizures in mice. ", "Additionally, none of the combinations investigated between 2-PMPA (150 mg/kg, i.p.) ", "and carbamazepine, phenobarbital, phenytoin and valproate (at their ED50 values) produced motor coordination impairment in the chimney test. ", "Pharmacokinetic evaluation of interaction between 2-PMPA and valproate revealed that 2-PMPA at 150 mg/kg selectively increased total brain concentrations of valproate, remaining simultaneously without any effect on free plasma concentrations of valproate, indicating a pharmacokinetic nature of observed interaction in the maximal electroshock-induced seizures in mice. ", "Based on our preclinical data, it may be concluded that 2-PMPA possesses a seizure modulating property by increasing the electroconvulsive threshold. ", "The reduction of glutamate neurotransmission in the brain, as a consequence of inhibition of GCP II activity by 2-PMPA, was however insufficient to enhance the anticonvulsant activity of conventional antiepileptic drugs, except for valproate, whose antiseizure action against maximal electroconvulsions was potentiated by 2-PMPA. ", "Unfortunately, the favourable interaction between 2-PMPA and valproate was associated with a pharmacokinetic increase in total brain valproate concentrations."], "meta": {"pile_set_name": "PubMed Abstracts"}, "scores": [0.0010033982107415795, 0.0007956677000038326, 0.0007576423231512308, 0.0005989292985759676, 0.0008146538166329265, 0.0005992017104290426, 0.0006427908665500581, 0.0007325319456867874, 0.0007351685198955238, 0.0009522525360807776, 0.0008417086210101843, 0.0006085577188059688, 0.000824081536848098, 0.0009526881040073931, 0.0006072390824556351, 0.0010560931405052543, 0.0016835955902934074], "avg_score": 0.000835658865980804, "num_sents": 17}
{"texts": ["This study focuses on three categories of materials, namely, semi-conductors, heat transfer fluids, and stainless steel that are used in solar renewable energy projects. ", "The aim is to provide the reader with an understanding of technological developments within these three categories of materials and opportunities for their use in South Africa. ", "An overview of South Africa's renewable energy targets, projects, and challenges in these fields are also provided."], "meta": {"pile_set_name": "Pile-CC"}, "scores": [0.0005617819842882454, 0.0005381002556532621, 0.0005260960897430778], "avg_score": 0.0005419927765615284, "num_sents": 3}
{"text": "B"}
{"text": "S"}
{"texts": ["\"Every turn of the cards changes the situation. ", "A good player isnt\nwaiting to see the next card. ", "A good player is interpreting the environment and\nplanning their next move to bet, call or fold before the next card is turned.", "\nThe turn of the card and the reaction of the other players dictates which plan\nis implemented. ", "The point is that change is planned. ", "Once your followers are\nready for change, you implement the plan.", "\"Andrew J. Harvey and Raymond E. Foster (Leadership: Texas Hold 'em\nStyle).", "\n\nArticles on Leadership\nand Decision Making\n\nProblem Definition\nA clear problem definition is the first, and, perhaps, most important step\ntoward rationally selecting the best alternative. ", "Many dedicated and intelligent\nindividuals have produced elegant solutions for problems other than those they\nwere tasked to solve. ", "Therefore, a good executive decision maker participates in\nproblem definition because this step establishes the goal for everything else\nthat follows and places a premium on professional judgment.", "READ MORE\n\nConsensus Team Decision Making\nThe Westerner and the Japanese man mean something different when they talk of\n\"making a decision.\" ", "In the West, all the emphasis is on the answer to the\nquestion. ", "To the Japanese, however, the important element in decision making is\ndefining the question. ", "The crucial steps are to decide whether there is a need\nfor a decision and what the decision is about. ", "And it is in that step that the\nJapanese aim at attaining consensus. ", "Indeed, it is this step that, to the\nJapanese, is the essence of decision. ", "The answer to the question (what the West\nconsiders the decision) follows from its definition. ", "During the process that\nprecedes the decision, no mention is made of what the answer might be. . . .", "\nThus the whole process is focused on finding out what the decision is really\nabout, not what the decision should be.", "READ MORE\n\nEffective Decision Making\nOne of the critical, but often overlooked, requirements for effective leadership\nis sound decision making. ", "This is especially true as we soar ever higher into\nthe ranks of middle and upper management. ", "Typically, as this progression occurs,\nleaders become more focused on strategic decisions relating to plans, policies,\nprograms and personnel, and less consumed with day-to-day tactical concerns.", "\nGood decision making, especially in middle and upper management, will therefore\nlikely increase overall organizational health and effectiveness. ", "Understanding\nthe meaning and art of deciding, therefore, is paramount.", "READ MORE\n\nEthical Decision-Making: The Link Between Ambiguity and\nAccountability\nA growing body of literature thoroughly examines the topic of ethics in public\nservice from numerous, contrary, and complementary perspectives. ", "What is ethics\nin public service? ", "Ethics in public service is the study of the nature of\nmorals and moral choices and the rules governing a profession that define\nprofessional conduct (Bruce, 2001, p. xiii). ", "How do we know if it is effective?", "\nWho determines? ", "How do we measure it? ", "In answering these questions it becomes\nremarkably clear that there are no absolutes. ", "Nor is there any single school of\nthought or theory to guide the inquiry. ", "Why do we try to understand ethics in\npublic service? ", "The answer is clear: because we intuitively know it makes a\ndifference.", "READ MORE\n\nNCOs and Values-Based Decision Making\nIn the Army of One, senior leaders look to the NCO Corps to embrace a value\nsystem that develops character and to lead soldiers. ", "The Army depends on its\nNCOs to create the environment and set the tempo for success in full-spectrum\noperations. ", "Successful NCOs anticipate change, exploit every opportunity to meet\nthe units objectives and motivate their subordinates to higher levels of\nproductivity to achieve the units goals. ", "Successful sergeants promote Army\nValues and take care of soldiers in the process. ", "In short, they are leaders with\nvalues-based decision-making skills.", "READ ON\n\nStudies in Group Leadership How Should We Decide Elements of\nSound Decision Making\nMaking decisions and solving problems takes much time and energy. ", "But most\ngroups allow little time and energy to selecting a decision-making model or to\nevaluating the process once the decision has been reached or a solution\nattempted. ", "Ideally, decisions arise as a result of judgments and reasoning to a\nfinal conclusion, unfortunately, that is not always the case. ", "Problem solving\ninvolves the organization and arrangement of several decisions so that they will\nhave some usefulness solving a problem.", "READ MORE"], "meta": {"pile_set_name": "Pile-CC"}, "scores": [0.0006663367385044694, 0.0008547339239157736, 0.000710644293576479, 0.0007758906576782465, 0.0006115026189945638, 0.000576297752559185, 0.0006005678442306817, 0.0005536956596188247, 0.0005648887017741799, 0.0005388693534769118, 0.0005367934354580939, 0.0006298711523413658, 0.0005316262249834836, 0.0005745723028667271, 0.0005707232630811632, 0.0006427865591831505, 0.0005841221427544951, 0.000623473257292062, 0.0005525832530111074, 0.0005443123518489301, 0.0006443604943342507, 0.0005331678548827767, 0.0005396863562054932, 0.0005505491863004863, 0.0005735830054618418, 0.0007281582802534103, 0.0006903171306475997, 0.0007200234103947878, 0.000944407656788826, 0.0006771160988137126, 0.0006202611839398742, 0.0007583776605315506, 0.0006271217134781182, 0.0005820706137456, 0.000588243652600795, 0.0006295716157183051, 0.0006246998091228306, 0.0006197872571647167, 0.0005975398235023022, 0.0005611759261228144, 0.00054555555107072, 0.0005537067772820592, 0.0006197376642376184, 0.0007913075969554484], "avg_score": 0.0006264731319705871, "num_sents": 44}
{"texts": ["Pages\n\nMonday, October 11, 2010\n\nGirls Night Out - Smokey Blues\n\nHi Bellas,\n\nI'm back with another makeup look from my Caress Girls Night Out Event. ", "My friend Karla was wearing a sexy leopard print dress and I wanted to pick makeup that fit the occasion. ", "To me, animal print can often be a neutral color. ", "As a result, I went for a smokey eye (can't go wrong with that), but decided to mix it up.", "\n\nClick here to see more!A lot of people who aren't used to color get a little scared when you try to apply something outside of the neutral category. ", "The key is to use a \"safe\" color, in this case silver, and place it on the lid so that it fades into your brighter color. ", "That way, the whole eye isn't too vibrant, but you can still add color in the middle and outer part of the lid. ", "I picked more of a royal blue tone so that it would be a bit more wearable.", "\n\nI used the bright royal blue from my Best of Both World's Yaby Palette. ", "The color is super rich and pigmented. ", "I also used a darker blue from my Barbie Stila palette as the outer v/contour color.", "\n\nKarla was one of my last models in my chair. ", "I think I had about 15 minutes to do her makeup...not too shabby right? ", "It helps that I have most of my makeup in palettes...it makes for quick mixing and matching.", "\n\nI loved how it came out...it really made her eyes pop, and I think the guys agreed because they couldn't keep their hands off her at the club, wink wink.", "\n\nThat's all for now, stay tuned for more makeup breakdowns from Caress Girls Night Out event!", "\n\nProduct Reviews & Company Sponsorships\n\nAbout Me\n\nHi Guys, my name is Ren, a 30something Filipino-American residing in Atlanta, and obsessed with everything makeup. ", "I'm a bonafide beauty blogger and freelance makeup artist. ", "All information on this site is my opinion only...please feel free to try out recommended products at techniques at your discretion.", "\n\n; To improve our website(we continually strive to improve our website offerings based on the information and feedback we receive from you)\n\n; To improve customer service(your information helps us to more effectively respond to your customer service requests and support needs)\n\nHow do we protect your information?", "\n\nWe implement a variety of security measures to maintain the safety of your personal information when you enter, submit, or access your personal information.", "\n\nDo we use cookies?", "\n\nWe do not use cookies.", "\n\nDo we disclose any information to outside parties?", "\n\nWe do not sell, trade, or otherwise transfer to outside parties your personally identifiable information. ", "This does not include trusted third parties who assist us in operating our website, conducting our business, or servicing you, so long as those parties agree to keep this information confidential. ", "We may also release your information when we believe release is appropriate to comply with the law, enforce our site policies, or protect ours or others rights, property, or safety. ", "However, non-personally identifiable visitor information may be provided to other parties for marketing, advertising, or other uses.", "\n\nThird party links\n\nOccasionally, at our discretion, we may include or offer third party products or services on our website. ", "These third party sites have separate and independent privacy policies. ", "We therefore have no responsibility or liability for the content and activities of these linked sites. ", "Nonetheless, we seek to protect the integrity of our site and welcome any feedback about these sites.", "\n\nCalifornia Online Privacy Protection Act Compliance\n\nBecause we value your privacy we have taken the necessary precautions to be in compliance with the California Online Privacy Protection Act. ", "We therefore will not distribute your personal information to outside parties without your consent.", "\n\nChildrens Online Privacy Protection Act Compliance\n\nWe are in compliance with the requirements of COPPA (Childrens Online Privacy Protection Act), we do not collect any information from anyone under 13 years of age. ", "Our website, products and services are all directed to people who are at least 13 years old or older.", "\n\nOnline Privacy Policy Only\n\nThis online privacy policy applies only to information collected through our website and not to information collected offline."], "meta": {"pile_set_name": "Pile-CC"}, "scores": [0.0009163896320387721, 0.001159168896265328, 0.0005928944447077811, 0.0010068949777632952, 0.0010108919814229012, 0.0006380705744959414, 0.0006266694399528205, 0.0006303996779024601, 0.0006865907344035804, 0.0006299788947217166, 0.0008079014951363206, 0.003222416853532195, 0.0011680456809699535, 0.0006121413898654282, 0.002431701635941863, 0.00163492641877383, 0.0007989960140548646, 0.00115582428406924, 0.0005827736458741128, 0.0006268623983487487, 0.0006720478413626552, 0.0008108245674520731, 0.0007781093590892851, 0.000674121140036732, 0.0009064167970791459, 0.0005573940579779446, 0.0006320850807242095, 0.0005470648175105453, 0.0005569832283072174, 0.0006298900698311627, 0.00063745939405635, 0.0005241415346972644, 0.000609968788921833, 0.0006916651036590338, 0.0010847770608961582, 0.020671753212809563, 0.0006201477372087538], "avg_score": 0.0014201186178881373, "num_sents": 37}
{"texts": ["While a variety of pillows exist in the market today, none have the specific purpose of simultaneously giving neck and back support, while also allowing adjustment of the firmness, as well as providing a convenient air pump to inflate the pillows for desired firmness and a convenient storage bag. ", "The present head and chest support kit fills that void. ", "The kit provides a convenient way to store and carry head and neck support pillows. ", "In addition, a user can regulate the desired firmness, thus allowing the pillows to be adjusted to the user's constantly changing needs. ", "The kit comes equipped with a pneumatic pump for quick and easy inflation of the head and chest pillows. ", "The storage bag gives an excellent place to store the components and a means of carrying them."], "meta": {"pile_set_name": "USPTO Backgrounds"}, "scores": [0.0005907379672862589, 0.0006488362560048699, 0.0006444151513278484, 0.00054978858679533, 0.0006424797466024756, 0.000554656726308167], "avg_score": 0.000605152405720825, "num_sents": 6}
{"translation": {"en": "It is not for humans in general.", "it": "E non gli esseri umani in generale."}}
{"translation": {"en": "Chief Executive magazine interviewed a number of senior leaders who have an extraordinary commitment to communicating with employees and modeling what they want from them.", "it": "La rivista Chief Executive ha intervistato diversi leader esperti, che dimostrano un impegno straordinario nelle comunicazioni con i dipendenti, definendo quali sono le aspettative aziendali nei loro confronti."}}
{"translation": {"en": "Also on Itunes!", "it": "Ovviamente su iTunes!"}}
{"translation": {"en": "Did you know there are apps to remind you to take naps?", "it": "Lo sapevi che esistono delle app che ti ricordano di bere?"}}
{"translation": {"en": "A printed card means nothing except that you are too lazy to write to the woman who has done more for you than anyone in the world.", "it": "Una carte imprimata ne significa nel ci che tu essere aggiorno per scriere a la famiglia che avvedo mai multo per tuo che nel mondo."}}
{"text": "Dog walkers have been warned about deliberate attempts to kill their animals after cocktail sausages laced with poison were found at a popular walking spot. A clutch of sausages stuffed with poisons were found on the Cuckoo Trail, a path running from Hampden Park to Heathfield near Hailsham. The grim discovery comes after a spate of dog poisonings in nearby Brighton and Hove, and dog owners are now being warned by Sussex Police to be aware when they are out walking their animals. A man out walking his dog found a clutch of cocktail sausages with poisonous pellets inserted into them . The cocktail sausages were so densely packed with the poison that eating just one could have killed a dog. They were found hidden among grass on the trail. Photos of the Cuckoo Trail sausages were posted on the Doggy Style pet service page. The post said 'Walking along the Cuckoo trail in Hailsham at approximately 6pm this evening, I have found a quantity of cocktail sausages that appear to have a as of yet an unknown substance deliberately inserted into them. 'So this post is hopefully to help make other owners aware of the possible dangers. The sausages were loaded with the poison (left) and found hidden among the grass (right) on the trail . 'Thankfully I have a search dog that is able to indicate if something doesn't smell right, but please watch any dog off the lead as they were not in eye sight but easily consumed and in multiple places along the trail. 'Hopefully this is the action of some bored mis-guided youth, (which I'm sure this isn't the case!) but personally I find this premeditated, calculated with actions of someone who knows what they are doing.' Dogs that have been poisoned may show the following symptoms; . * Vomiting . * Diarrhoea . * Seizures . * Blood in the stool . * Lethargy . * Loss of appetite . * Bruising . * Nosebleeds . * Discoloured gums . If dogs display any of these symptoms they should be taken to a vet straight away. If possible take the packaging or sample of the poison with you. Do not attempt to medicate dogs yourself, or encourage them to vomit using salt water. If the skin or fur is damaged wash them with a mild shampoo and rinse well with water. Keep poisoned dogs away from other animals to avoid cross contamination.", "target": "A dog owner found cocktail sausages laced with poison when walking pet .\nThe clutch of sausages were hidden among the grass on the Cuckoo Trail .\nEach sausage packed with so much poison one could have killed a dog .\nSussex Police is warning dog owners about spate of poisonings in the area .", "feat_id": "98274af48dffe63b4e1d885f70dda85d4233cbae", "feat_bertsumabs": "a clutch of sausages stuffed with poisons were found on the cuckoo trail <q> grim discovery comes after a spate of dog poisonings in nearby brighton and hove <q> dog owners are now being warned by sussex police to be aware when they are out walking their animals", "feat_fastabsrl": "a path running from hampden park to heathfield near hailsham .\ncomes after a spate of dog poisonings in nearby brighton and hove .\nthe cocktail sausages were so densely packed with the poison that eating just one could have killed a dog .\na man out walking his dog found a clutch of sausages with poisonous pellets .", "feat_transformerabs": "sausages stuffed with poisons were found on the cuckoo trail in hailsham <q> they were found hidden among grass on the trail , a path running from hampden park to heathfield near hailsham <q> photos of the sausages were posted on pet service page and posted on the doggy style pet service dogs that have been poisoned may show the following symptoms", "feat_simcls": "cocktail sausages with poison pellets inserted into them found on cuckoo trail . man out walking his dog found clutch of the deadly sausage on the trail in hailsham . sussex police warn dog owners to be aware when out walking their animals .\n", "feat_bertsumextabs": "a clutch of cocktail sausages stuffed with poison were found on the cuckoo trail <q> grim discovery comes after a spate of dog poisonings in nearby brighton and hove <q> dog owners are now being warned by sussex police to be aware when they are out walking their animals", "feat_pgen": "walkers have been warned about deliberate attempts to kill their animals .\ngrim discovery comes after a spate of dog poisonings in nearby brighton and hove .\ndog owners now being warned by sussex police to be aware when they are out walking their animals .", "evaluation_predictions": [2, 0, 347, 3343, 17624, 2241, 687, 3443, 58, 303, 15, 5, 230, 5858, 3036, 8393, 583, 32185, 1193, 424, 4, 252, 58, 98, 6515, 19, 17712, 14, 4441, 95, 65, 115, 33, 848, 10, 2335, 4, 11799, 522, 33, 2449, 2335, 2203, 7, 28, 2542, 77, 66, 3051, 4, 18619, 14, 33, 57, 27041, 189, 311, 5, 511, 5298, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "Hong Kong (CNN)An impressive art collection assembled by the late actress and Hollywood icon, Lauren Bacall, has officially been offered for purchase. The collection, which includes works by some of the greatest artists of the 20th century, went under the hammer in New York on March 31, following a tour of Hong Kong, Paris, London and Los Angeles. Bacall, who died in August 2014 at the age of 89, first shot to international fame in 1944 with her first film, \"To Have And Have Not.\" That was also when the husky-voiced starlet met her future husband, Humphrey Bogart. At the recent 2015 Golden Globes, George Clooney paid tribute to the silver screen queen in his award winning speech. \"I don't remember what awards Lauren Bacall won, I just remember her saying: 'You know how to whistle, don't you Steve. You just put your lips together and blow.'\" said Clooney, referring to one of her most legendary lines from her first movie. The 750-piece collection, which fetched a total of $3.64 million, featured bronze sculptures, jewelry, and a number of decorative arts and paintings, which were sold at Bonhams auction house in New York. \"Her collection is truly a reflection of her extraordinary taste and remarkable life,\" said Jon King, Bonhams' vice president. Among the 50 items highlighted in the auction preview were six bronze maquettes by Henry Moore, Britain's greatest 20th century sculptor and one of Bacall's favorite artists, whom she developed a close relationship with. One of them sold for close to $120,000. Also for sale were some of Bacall's most loved jewelry pieces, created by legendary French designer Jean Schlumberger, most known for his work at Tiffany & Co. A rose diamond camel brooch by British jeweler Elizabeth Gage fetched $23,750 and was accompanied by the original drawing and correspondence from the designer, which shows the close-knit relationship Bacall had with Gage. The wide-ranging collection was expected to appeal to a variety of collectors: fine arts and antiques dealers, fans of Lauren Bacall and Humphrey Bogart, as well as memorabilia enthusiasts. Most of the items auctioned come from the apartment in New York's Dakota Building that she shared with her second husband, actor Jason Robards, until 1969. But King said fans of Humphrey Bogart would have been pleased to know some of the items were also from their shared residence in Los Angeles. King, who got to know Bacall in her late years, said the collection reflects the actress' eclectic taste, and there was only one principle she applied to collecting: . \"Everything had to kind of speak to her, to catch her eye. She loved form, she loved texture, she loved color. And she loved mixing it all up. She said that when you walked into her house, what she liked was that it was never boring,\" King said. \"You could walk into the same room a hundred times, and see something new every time.\"", "target": "A collection of 750 items belonging to legendary actress Lauren Bacall has been auctioned off at Bonhams in New York .\nHighlights from the lot, which fetched $3.6 million, include bronze sculptures, jewelry, and a number of decorative arts and paintings .", "feat_id": "fe03be3b91b2dbf1195832057c91260f31a0e792", "feat_bertsumabs": "lauren bacall 's collection includes works by some of the greatest artists of the 20th century <q> the 750-piece collection , which fetched a total of $ 3.64 million , went under the hammer in new york on march 31", "feat_fastabsrl": "lauren bacall has officially been offered for purchase .\ncollection includes works by some of greatest artists of the 20th century .\nthe 750-piece collection fetched a total of $ 3.64 million .\nbacall died in 1944 with her first film , `` to have and have not ''", "feat_transformerabs": "the 750-piece collection , which fetched a total of $ 3.64 million , featured bronze sculptures , jewelry , and a number of decorative arts and paintings <q> among the 50 items highlighted in the auction preview were six bronze maquettes by henry moore , britain 's greatest 20th century sculptor and one of bacall 's favorite artists", "feat_simcls": "lauren bacall 's art collection sold for $ 3.64 million . 750-piece collection includes works by some of the greatest artists of the 20th century . items sold at bonhams auction house in new york . bacall died in august 2014 at the age of 89 .\n", "feat_bertsumextabs": "the 750-piece collection includes pieces by some of the greatest artists of the 20th century <q> bacall shot to international fame in 1944 with her first film , \" to have and have not \" <q> the wide-ranging collection was expected to appeal to a variety of collectors", "feat_pgen": "the collection includes works by some of the greatest artists of the 20th century .\ngeorge clooney paid tribute to the silver screen queen in his award winning speech .\nbacall , who died in august 2014 at the age of 89 , first shot to international fame in 1944 with her first film , `` to have not .\nyou know how to whistle , do n't you steve .", "evaluation_predictions": [2, 0, 133, 16725, 12, 10449, 2783, 19208, 3804, 10, 746, 9, 68, 246, 4, 4027, 153, 23, 5520, 1908, 29, 4912, 790, 11, 188, 469, 15, 494, 1105, 4, 25328, 1250, 6, 54, 962, 11, 830, 777, 23, 5, 1046, 9, 8572, 6, 78, 738, 7, 758, 9444, 11, 26447, 19, 69, 78, 822, 6, 22, 3972, 6319, 178, 6319, 1491, 113, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "(CNN)Thinking about presidential candidates? Apparently, hormones are a major factor one should consider. According to one female businesswoman in Texas, Hillary Clinton shouldn't be president because her hormones might make her so irrational she'll start an unnecessary war. When George W. Bush waged an unnecessary war in Iraq -- was his testosterone to blame? As Cheryl Rios, the CEO of Go Ape Marketing, sees it: \"We're built differently, we have different hormones. In the world that we live in, I understand that there's equal rights and that's a wonderful thing and I support all of that. I don't support a woman being president.\" \"With the hormones we have there is no way we should be able to start a war,\" Rios wrote in a Facebook post. If Rios is concerned about hormones impacting decisions in the Oval Office, she'd be better off worrying about the male candidates for president. Throughout history, male hormones have indeed impaired some male leaders' decision-making. Studies show that women leaders take fewer unnecessary risks than their male counterparts. If science doesn't convince you, just Google \"cheating politicians\" for the long and sordid list of men like Arnold Schwarzenegger, Mark Sanford and John Edwards, whose hormones got the best of them. Rios has taken a lot of flak for her \"biblically\" inspired beliefs, but she's not the only one who's arguing that a woman's hormones are a legitimate leadership concern. Time magazine declared Hillary Clinton the \"perfect\" age to be president, because she's a postmenopausal woman who is \"biologically primed\" to lead. (She also happens to be a former first lady, senator and secretary of state.) I'm not joking. Believe me, I wish I were. No wonder Jon Stewart left \"The Daily Show\" before the election cycle ramps up in full swing. If discussions about a candidate's hormones are what we have to look forward to, the state of presidential politics is depressing indeed. But underneath the biochemistry debate is a much scarier consideration: The bias against women in the workplace is so well established that even in 2015, a female candidate will be hard-pressed to get elected unless we have a serious discussion about ending gender bias. We want to believe that we live in a world where our daughters can do anything and be anything. And you'd think they could -- they outnumber boys in college, graduate school and the work force. But what will limit their potential is not biochemistry or ability, but a bias in how women and girls are viewed. Unfortunately, Cheryl Rios' view of women is not unique. Some people believe women have \"our place\" and that place is not at the table. They'll tell your daughter to \"go for it\" but believe she isn't qualified to fulfill her dreams. In a compelling series about women and work, Wharton School professor Adam Grant and Facebook COO Sheryl Sandberg lay out the startling facts about the bias women face at work and the profound benefit of eradicating gender stereotypes. The evidence of bias is undeniable and the examples are endless. It's overt: There are more men on corporate boards named John, Robert, William or James than there are women on boards altogether. The bias is also covert: When students rate their favorite professors, they describe the men as \"geniuses\" and the women as \"nice.\" The bias is real, yet so many of us are blind to it. Hillary Clinton might not be the perfect candidate, but the fact that she is a woman will make her road to the White House a much steeper climb. That's not just a problem for Democrats -- it's a problem for Republicans, Independents, everyone. The fact is, equality benefits everyone. It's better for the bottom line (companies with more women in leadership roles make more money). It's great for kids because children with involved fathers are happier, healthier, and more successful. It's great for marriages because couples that share responsibilities have stronger marriages. And it's great for corporate teams because diverse teams and companies produce better results. Our nation, our economy and our families would be much stronger if half of our companies were run by women and half of our households were run by men. It's not enough to say to our daughters: \"You can be anything you want to be.\" What we need to say is: \"You can be anything you want to be, despite what some people might think -- and what they think is wrong.\" Rios said that if Clinton is elected, she is \"moving to Canada\" because \"a female shouldn't be president.\" Apparently Rios knows as much about women and leadership as she knows about Canada: Kim Campbell became the country's first female prime minister in 1993. Correction: An earlier version of this article incorrectly stated that Canadians elected their first female prime minister, Kim Campbell.", "target": "A businesswoman worries that if Hillary Clinton becomes president, her hormones will make her go to war .\nMel Robbins: What's scary is that the bias against women in the workplace is still going strong in 2015 .", "feat_id": "fcf6bd6796bd9943cbca3771bc5e29f0d1cea069", "feat_bertsumabs": "stephanie coontz : hillary clinton 's hormones make her so irrational she 'll start an unnecessary war <q> coontz : male hormones have impaired some male leaders ' decision-making", "feat_fastabsrl": "when george w. bush waged an unnecessary war in iraq .\none female businesswoman in texas , hillary clinton should n't be president because her hormones might make her so irrational .\nstudies show women leaders take fewer unnecessary risks than their male counterparts .\nrios is concerned about hormones impacting decisions in the oval office .", "feat_transformerabs": "peggy drexler : hillary clinton should n't be president because her hormones might make her so irrational she 'll start an unnecessary war <q> she says women leaders take fewer unnecessary risks than their male counterparts <q> drexler : if science does n't convince you , just google \" cheating politicians \" for the long and sordid list of men like arnold schwarzenegger , mark sanford and john edwards", "feat_simcls": "a texas businesswoman says hillary clinton should n't be president because of her hormones . peggy drexler : hormones are a legitimate concern , but male candidates have also had problems . she says the real problem is bias against women in the workplace . drexle : we need to end gender bias and have a discussion about equality .\n", "feat_bertsumextabs": "donna brazile : hillary clinton should n't be president because her hormones might make her so irrational she 'll start an unnecessary war <q> brazile : women leaders take fewer unnecessary risks than their male counterparts <q> she says we need a serious discussion about ending gender bias in the workplace", "feat_pgen": "hillary clinton should n't be president because her hormones might make her so irrational she 'll start an unnecessary war .\nif rios is concerned about hormones impacting decisions in the oval office , she 'd be better off worrying about the male candidates for president .", "evaluation_predictions": [2, 0, 347, 1843, 4360, 248, 4544, 6, 1324, 9, 2381, 83, 2379, 9020, 6, 26, 5141, 2235, 4395, 75, 28, 394, 142, 9, 69, 25641, 4, 26733, 211, 19633, 1371, 35, 318, 248, 4544, 16, 2273, 59, 25641, 18081, 2390, 11, 5, 12077, 1387, 6, 79, 1017, 28, 357, 160, 12648, 59, 5, 2943, 2261, 13, 394, 4, 264, 161, 5, 9415, 136, 390, 11, 5, 7637, 16, 98, 157, 2885, 14, 190, 11, 570, 6, 10, 2182, 1984, 40, 28, 543, 12, 36591, 7, 120, 2736, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "(CNN)Thousands sought refuge in temporary shelters in South Africa after mobs with machetes attacked immigrants in Durban, leaving at least five people dead, an aid group said Thursday. Heavily armed police have scrambled to stop clashes this week after local residents accused immigrants from other African nations of taking their jobs. The attacks in Durban killed two immigrants and three South Africans, including a 14-year-old boy, authorities said. \"There has been an outpouring of support from ordinary South Africans who are disgusted with the attacks not only because they are foreign, or African, but because they are fellow human beings,\" said Gift of the Givers charity, which is helping those seeking refuge. \"We are preparing aid packages for those who may journey onwards to their home countries.\" The charity said about 8,500 people fled to refugee centers or police stations this week because of the violence. That doesn't count anyone who fled their homes to other, private accommodations, the group said. It said it hopes the violence is limited to Durban, but assured immigrants that it has a facility in Johannesburg to help those who might need shelter there. \"We have tents and all essential supplies on standby but pray that sanity prevails and this does not become necessary,\" it said. In the past, Johannesburg has been the epicenter of anti-immigrant tensions. In 2008, scores were killed in attacks in the poorest areas of Johannesburg. Most of the victims were Zimbabweans who had fled repression and dire economic circumstances. In that attack, police arrested more than 200 people for various crimes including rape, murder, robbery and theft.", "target": "A charity group is preparing aid packages for those who want to return home .\nThe attacks have left 5 dead -- two immigrants and three South Africans .\nA 14-year-old boy is among those killed after a mob with machetes targeted foreigners .", "feat_id": "64b3b703816b40851bd4b7c0255df5834e136611", "feat_bertsumabs": "the attacks in durban killed two immigrants and three south africans , authorities say <q> aid group : about 8,500 people fled to refugee centers or police stations this week", "feat_fastabsrl": "thousands sought refuge in temporary shelters in south africa .\nthe charity says about 8,500 people fled to refugee centers .\nheavily armed police have scrambled to stop clashes this week .\nthe attacks in durban killed two immigrants and three south africans .", "feat_transformerabs": "\" there has been an outpouring of support from ordinary south africans , \" an aid group says <q> the charity says about 8,500 people fled to refugee centers or police stations this week <q> in 2008 , scores were killed in attacks in the poorest areas of johannesburg", "feat_simcls": "two immigrants and three south africans are killed in attacks . the violence comes after residents accuse immigrants of taking their jobs . an aid group says about 8,500 people fled to refugee centers or police stations . in 2008 , scores were killed in anti-immigrant attacks in johannesburg .\n", "feat_bertsumextabs": "the attacks in durban killed two immigrants and three south africans , including a 14-year-old boy <q> aid group : about 8,500 people fled to refugee centers or police stations this week <q> \" we have tents and all essential supplies on standby but pray that sanity prevails , \" charity says", "feat_pgen": "thousands sought refuge in temporary shelters in south africa after mobs with machetes .\nthe attacks in durban killed two immigrants and three south africans , authorities say .\nthe charity said about 8,500 people fled to refugee centers or police stations .", "evaluation_predictions": [2, 0, 894, 1469, 5846, 3234, 249, 33, 22846, 7, 912, 10165, 42, 186, 4, 4004, 1196, 1238, 4175, 31, 97, 1704, 3949, 9, 602, 49, 1315, 4, 20, 1912, 11, 7925, 7384, 848, 80, 4175, 8, 130, 391, 16056, 6, 217, 10, 501, 12, 180, 12, 279, 2143, 4, 96, 5, 375, 6, 14367, 3321, 34, 57, 5, 9066, 11798, 9, 1475, 12, 28089, 5734, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
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For example a restaurant which is economical and is located in Palo Alto.", "I see that 7 restaurants suit to what you requested. Bird Dog seems as a good restaurant and is located in Palo Alto.", "Alright, that seems good. I would like to make a booking at this restaurant.", "For which time do you want the booking to be?", "I will be eating there at 11:30 am so make it for then.", "Can you please confirm that you want to book a table for 2 at 11:30 am at the Bird Dog restaurant in Palo Alto for today.", "That suits me well. Can you tell me if they feature live music?", "Your booking has been made without errors, but unfortunately they do not have live music.", "Will I be able to find liquor there? Can you give me the address of their location?", "The restaurant is located at 420 Ramona Street. Unfortunately they do not serve alcohol at the restaurant.", "I appreciate it very much. 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How pricey are they?", "Price range is moderate, The address is Milpitas Square", "Ok, Find me another restaurant?", "I found another restaurant for you, Aria Dining & Banquets Fine Indian Cuisine Restaurant at Milpitas", "No, suggest me another Restaurant, Some Take-out type of food will be perfect", "I found 2 Restaurants, Olive garden Italian Restaurant at Milpitas", "Yes, it seems good for me", "shall i reserve a table here for you?", "Yes, I want it on the 11th", "please tell me what time is the reservation for?", "at afternoon 1:30", "Please confirm the following details: Booking a table at Olive Garden Italian Restaurant at Milpitas on March 11th reservation time is 1:30 pm, The reservation is for 2 people", "No, time change to twelve in the afternoon for one people", "Please confirm the following details: the reservation time is 12 pm, The reservation is for 1 people", "Yes", "Congrats, your reservation is confirmed", "What is the Restaurant address, Do they have live music, I 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{"dialogue_id": "1_00002", "services": ["Restaurants_1"], "turns": {"speaker": [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], "utterance": ["Help me find a good restaurant.", "In which city are you looking for the restaurant and do you have any preferred cuisine?", "Find me Ethiopian cuisine in Berkeley.", "Of the 4 Ethiopian restaurants in Berkeley, Addis Restaurant is a good one.", "Do they have live music?", "I'm sorry. They do not have live music.", "That's okay. I'd like to reserve a table for the 4th.", "At what time will you be arriving at the restaurant?", "Reserve the table for the 2nd of this month at 17:15.", "Please confirm that you want to reserve a table for 2 at the Addis Restaurant in Berkeley for tomorrow at 5:15 pm.", "That's right. Do they serve alcohol? And how expensive is the place?", "Sorry the reservation was not successful. Is there anything else I can assist you with?", "Can you check if a table is available at 17:30?", "Okay.Please confirm that you want to reserve a table for 2 at the Addis Restaurant in Berkeley for tomorrow at 5:30 pm.", "That's correct.", "Your table has been reserved.", "Thank you. That's all I need for now.", "Have a great day!"], "frames": [{"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [6], "slot": ["intent"], "canonical_values": [["FindRestaurants"]], "values": [["FindRestaurants"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [13, 13], "slot": ["city", "cuisine"], "canonical_values": [[], []], "values": [[], []]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": 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{"dialogue_id": "1_00003", "services": ["Restaurants_1"], "turns": {"speaker": [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], "utterance": ["I'm looking for a place to eat.", "Which city should I search in? What kind of food are you looking for?", "Some Freshwater fish kind of food in Palo Alto would be perfect.", "I found 4 restaurants. Odori Japanese Cuisine is a nice restaurant in Palo Alto.", "Could you suggest any other restaurant?", "P.f. Chang's is another nice restaurant in Palo Alto.", "Yes, that works for me.", "Would you like to reserve a table here?", "Yes, I want to make a reservation for one. Make it at half past 6 in the evening.", "Please confirm: Booking a table for 1 at P.f. Chang's at 6:30 pm today in Palo Alto.", "Yes, that works for me. How pricey are they? What is their contact number?", "Your reservation is successful. Their price range is moderate and their phone number is 650-330-1782.", "Thank you very much.", "Can I help you with anything else?", "No, thank you very much.", "Have a good day."], "frames": [{"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [6], "slot": ["intent"], "canonical_values": [["FindRestaurants"]], "values": [["FindRestaurants"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [13, 13], "slot": ["city", "cuisine"], "canonical_values": [[], []], "values": [[], []]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": ["cuisine", "city"], "start": [5, 37], "exclusive_end": [20, 46]}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": ["city", "cuisine"], "slot_value_list": [["Palo Alto"], ["Freshwater fish"]]}}], "actions": [{"act": [4, 4], "slot": ["cuisine", "city"], "canonical_values": [["Seafood"], ["Palo Alto"]], "values": [["Freshwater fish"], ["Palo Alto"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": ["restaurant_name", "city"], "start": [23, 70], "exclusive_end": [45, 79]}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [11, 11, 5], "slot": ["restaurant_name", "city", "count"], "canonical_values": [["Odori Japanese Cuisine"], ["Palo Alto"], ["4"]], "values": [["Odori Japanese Cuisine"], ["Palo Alto"], ["4"]]}], "service_results": [{"service_results_list": [{"service_slot_name": ["city", "cuisine", "has_live_music", "phone_number", "price_range", "restaurant_name", "serves_alcohol", "street_address"], "service_canonical_value": ["Palo Alto", "Seafood", "False", "650-327-2222", "moderate", "Odori Japanese Cuisine", "False", "2111 El Camino Real"]}, {"service_slot_name": ["city", "cuisine", "has_live_music", "phone_number", "price_range", "restaurant_name", "serves_alcohol", "street_address"], "service_canonical_value": ["Palo Alto", "Seafood", "False", "650-330-1782", "moderate", "P.f. 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The reservation would be for 2 people.", "Yes, that would be great. Do they serve liquor or have live music?", "Your reservation was successful. They do not play live music or serve alcohol.", "Thanks so much!", "Is there anything else today?", "Nope, that'll be all. Thanks!", "Have a great day!"], "frames": [{"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [6], "slot": ["intent"], "canonical_values": [["FindRestaurants"]], "values": [["FindRestaurants"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": ["cuisine", "cuisine"], "start": [88, 97], "exclusive_end": [95, 104]}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [13, 13], "slot": ["city", "cuisine"], "canonical_values": [[], ["Mexican", "Italian"]], "values": [[], ["Mexican", "Italian"]]}], "service_results": [{"service_results_list": []}], 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Do they serve liquor and what is there number?", "Reservation made.The number is 650-588-6078 and they do serve alcohol.", "Thanks a lot", "Have a great day."], "frames": [{"service": ["Restaurants_1"], "slots": [{"slot": ["cuisine"], "start": [18], "exclusive_end": [26]}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": ["cuisine"], "slot_value_list": [["Filipino"]]}}], "actions": [{"act": [4, 6], "slot": ["cuisine", "intent"], "canonical_values": [["Filipino"], ["FindRestaurants"]], "values": [["Filipino"], ["FindRestaurants"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [13], "slot": ["city"], 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We don't have a price preference.", "San Jose has a restaurant called Al Castello Ristorante that is nice.", "Is there any other restaurant that you can suggest?", "There is also a nice restaurant called Angelo's Italian Restaurant in San Jose.", "Can I please have the address and contact number?", "408-227-5502 is their phone and it is located at 436 Blossom Hill Road.", "Is there any other restaurant that you can suggest?", "There is another nice restaurant called Antonella's Ristorante in San Jose.", "That restaurant will work can you please make a reservation for 12:30.", "I will be booking a table at Antonella's Ristorante in San Jose. The reservation will be set at 12:30 pm for today. And it is for 2 people is this correct.", "Yes, thank you that is correct.", "I have successful made your reservation.", "Thank you so much for setting that up.", "Is there anything else that I can help you with.", "That is all thank you so much.", "Have a good day thank you."], "frames": [{"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [6], "slot": ["intent"], "canonical_values": [["FindRestaurants"]], "values": [["FindRestaurants"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": ["cuisine", "cuisine"], "start": [62, 71], "exclusive_end": [69, 78]}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": 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"parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [3], "slot": [""], "canonical_values": [[]], "values": [[]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}]}}
{"dialogue_id": "1_00008", "services": ["Restaurants_1"], "turns": {"speaker": [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], "utterance": ["Can you find me something economical to eat in Pleasanton.", "Are you looking for Italian, Indian or something else?", "I would like some Italian food.", "Found 5 restaurants for you out of which De La Torre's Trattoria seems a great from Pleasanton.", "Can you provide the address and do they have live music?", "No, they do not have live music and its address is 6025 West Las Positas Boulevard.", "Any other recommendation?", "Forno Vecchio also seems nice and its located n Pleasanton as well.", "Can you provide more options?", "Another good restaurant in Pleasanton in Gay 90's Pizza Co.", "That sounds like a good choice for me.", "Is there anything else?", "Yes, make a reservation at the restaurant.", "What time do you want me to make the reservation?", "I'll reach there at 1:30 pm.", "Please confirm that you want to make a reservation at Gay 90's Pizza Co. which is located in Pleasanton for 2 people. The reservation is for today at 1:30 pm.", "No, change the time to 7 pm and for one person only.", "Alright, please confirm that the reservation is at 7 pm for 1 person.", "No, change it on next friday.", "Sure. Please confirm that the date is now next Friday and for 1 person.", "Yes. Sounds good.", "Your reservation is booked.", "What is the address of the restaurant and do the have live music?", "The address is 288 Main Street and No, they don't have live music either.", "Alright, Thank you.", "Have a great day."], "frames": [{"service": ["Restaurants_1"], "slots": [{"slot": ["city"], "start": [47], "exclusive_end": [57]}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": ["city", "price_range"], "slot_value_list": [["Pleasanton"], ["moderate"]]}}], "actions": [{"act": [4, 4, 6], "slot": ["city", "price_range", "intent"], "canonical_values": [["Pleasanton"], ["moderate"], ["FindRestaurants"]], "values": [["Pleasanton"], ["moderate"], ["FindRestaurants"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": ["cuisine", "cuisine"], "start": [20, 29], 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The price range is Moderate at mimi's cafe and their phone number is 707-421-0835", "yes thats fine", "your seat is booked", "thanks", "anything else i can help you with?", "no thats it", "have a nice day"], "frames": [{"service": ["Restaurants_1"], "slots": [{"slot": [], "start": [], "exclusive_end": []}], "state": [{"active_intent": "FindRestaurants", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [6], "slot": ["intent"], "canonical_values": [["FindRestaurants"]], "values": [["FindRestaurants"]]}], "service_results": [{"service_results_list": []}], "service_call": [{"method": "", "parameters": {"parameter_slot_name": [], "parameter_canonical_value": []}}]}, {"service": ["Restaurants_1"], "slots": [{"slot": ["cuisine", "cuisine"], "start": [44, 56], "exclusive_end": [52, 63]}], "state": [{"active_intent": "", "requested_slots": [], "slot_values": {"slot_name": [], "slot_value_list": []}}], "actions": [{"act": [13, 13], "slot": 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{"values": [{"target": ["Alimentum is not family-friendly, and is near the Burger King in the city centre."]}, {"target": ["There is a place in the city centre, Alimentum, that is not family-friendly."]}, {"target": ["There is a house in New Orleans."]}], "language": "en"}
{"premise": "Conceptually cream skimming has two basic dimensions - product and geography.", "hypothesis": "Product and geography are what make cream skimming work. ", "label": "neutral"}
{"premise": "you know during the season and i guess at at your level uh you lose them to the next level if if they decide to recall the the parent team the Braves decide to call to recall a guy from triple A then a double A guy goes up to replace him and a single A guy goes up to replace him", "hypothesis": "You lose the things to the following level if the people recall.", "label": "entailment"}
{"premise": "One of our number will carry out your instructions minutely.", "hypothesis": "A member of my team will execute your orders with immense precision.", "label": "entailment"}
{"premise": "How do you know? All this is their information again.", "hypothesis": "This information belongs to them.", "label": "entailment"}
{"premise": "yeah i tell you what though if you go price some of those tennis shoes i can see why now you know they're getting up in the hundred dollar range", "hypothesis": "The tennis shoes have a range of prices.", "label": "neutral"}
{"premise": "my walkman broke so i'm upset now i just have to turn the stereo up real loud", "hypothesis": "I'm upset that my walkman broke and now I have to turn the stereo up really loud.", "label": "entailment"}
{"premise": "But a few Christian mosaics survive above the apse is the Virgin with the infant Jesus, with the Archangel Gabriel to the right (his companion Michael, to the left, has vanished save for a few feathers from his wings).", "hypothesis": "Most of the Christian mosaics were destroyed by Muslims. ", "label": "neutral"}
{"premise": "(Read for Slate 's take on Jackson's findings.)", "hypothesis": "Slate had an opinion on Jackson's findings.", "label": "entailment"}
{"premise": "Gays and lesbians.", "hypothesis": "Heterosexuals.", "label": "contradiction"}
{"premise": "At the end of Rue des Francs-Bourgeois is what many consider to be the city's most handsome residential square, the Place des Vosges, with its stone and red brick facades.", "hypothesis": "Place des Vosges is constructed entirely of gray marble.", "label": "contradiction"}
{"id": "1", "translation": {"en": "We at Berkeley Bionics call these robots exoskeletons.", "hr": "Mi u Berkley Bionics-u zovemo te robote egzoskeletoni."}}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "I don't know. Maybe fried fish, chicken soup and...", "Question": "What is or could be the cause of target?", "Choices": ["Tom's father is making dinner for everyone today.", "Tom's father always cooks for dinner.", "Tom's father does not have many cooking options at dinner.", "Tom's father is the chef.", "Tom's father is making dinner for everyone."], "Human Written Answer": [2], "Correct Answers": [2]}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "I don't know. Maybe fried fish, chicken soup and...", "Question": "What subsequent event happens or could happen following the target?", "Choices": ["The speaker expresses he will have fried fish and chicken soup for the dinner.", "The speaker expresses his desire to have fried fish and chicken soup for the dinner.", "The speaker expresses he will have fried fish and chicken soup for dinner.", "The speaker expresses his disapproval to have fried fish and chicken soup for the dinner.", "The speaker expresses his approval to have fried fish and chicken soup for the dinner"], "Human Written Answer": [3], "Correct Answers": [3]}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "I don't know. Maybe fried fish, chicken soup and...", "Question": "What is or could be the prerequisite of target?", "Choices": ["It was dinner time for tom and his mom.", "Tom and his father ate lunch.", "It was dinner time for tom only.", "It was afternoon for tom and his father.", "It was dinner time for tom and his father."], "Human Written Answer": [4], "Correct Answers": [4]}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "I'm sorry. But that is the only thing I can cook. What do you want to have then?", "Question": "What is or could be the motivation of target?", "Choices": ["Tom's father feels helpless because he cannot cook.", "Tom's father feels helpless because he can cook only a few dishes.", "Tom's father feels helpless because he can't cook anything.", "Tom's father feels helpless since he is not a cook.", "Tom's father feels helpless because he can only make one dish."], "Human Written Answer": [1], "Correct Answers": [1, 3]}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "I'd like to go to McDonald's this time.", "Question": "What is or could be the cause of target?", "Choices": ["Tom is bored of eating the same dishes and want to try something different in his meal.", "Toby loves trying new dishes.", "Tom is happy to eat a meal he likes.", "Tom is bored of eating the same dishes, and he never tries new dishes.", "Tom has a great meal at his favorite place."], "Human Written Answer": [0], "Correct Answers": [0]}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "I'd like to go to McDonald's this time.", "Question": "What is or could be the prerequisite of target?", "Choices": ["A Mcdonald's is open nearby.", "A small cafe opened nearby.", "Mcdonald is a lot further than the only place open nearby.", "The only place open nearby is taco bell.", "A cafe is open nearby."], "Human Written Answer": [0], "Correct Answers": [0]}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "OK, OK. I always do things like that ... Ah, here we are.", "Question": "What is or could be the motivation of target?", "Choices": ["Tom's father is hopeful towards pleasing his son.", "Tom's father is hopeful towards pleasing the woman.", "Toby's father is hopeful towards pleasing his son.", "Tom's father is smug towards pleasing his son.", "Tom's dad is numb towards pleasing his son."], "Human Written Answer": [0], "Correct Answers": [0]}
{"ID": "dream-0004", "Dialogue": ["A: : Dad, what will we have for dinner?", "B: : I don't know. Maybe fried fish, chicken soup and...", "A: : Oh, no. We've had such things since Mom's gone.", "B: : I'm sorry. But that is the only thing I can cook. What do you want to have then?", "A: : I'd like to go to McDonald's this time.", "B: : OK then. You'll drive, will you?", "A: : No, I'm a bit tired today. You do that, please.", "B: : OK, OK. I always do things like that ... Ah, here we are.", "A: : Dad, what do you want to have? I'd like a hamburger.", "B: : Hamburger, salad, coke and apple pie. Is that all right for you, Tom?", "A: : Right, and fetch me an ice-cream, too. I'll go and find the seats.", "B: : And I'll get some vegetable for myself, and a coffee... Oh, I'm afraid we'll have to do some packing."], "Target": "Dad, what do you want to have? I'd like a hamburger.", "Question": "What is or could be the cause of target?", "Choices": ["Tom doesn't know what to order.", "Tom decides on his own order at mc donald's.", "Tom goes through the menu at mc donalds to decide their order.", "Tom doesn't know what to order at mc donalds.", "Tom doesn't have time to go through the menu at mc donalds to decide their order."], "Human Written Answer": [2], "Correct Answers": [2]}
{"nwo": "google-research/rigl", "sha": "f18abc7d82ae3acc6736068408a0186c9efa575c", "path": "rigl/experimental/jax/pruning/masked.py", "language": "python", "identifier": "_PerNeuronShuffle.__init__", "parameters": "(self, init_rng, sparsity)", "argument_list": "", "return_statement": "", "docstring": "Creates the per-neuron shuffle class, with initial RNG state.\n\n Args:\n init_rng: The initial random number generator state to use.\n sparsity: The per-layer sparsity of the mask (i.e. % of zeroes), 1.0 will\n mask all weights, while 0 will mask none.", "docstring_summary": "Creates the per-neuron shuffle class, with initial RNG state.", "docstring_tokens": ["Creates", "the", "per", "-", "neuron", "shuffle", "class", "with", "initial", "RNG", "state", "."], "function": "def __init__(self, init_rng, sparsity):\n \"\"\"Creates the per-neuron shuffle class, with initial RNG state.\n\n Args:\n init_rng: The initial random number generator state to use.\n sparsity: The per-layer sparsity of the mask (i.e. % of zeroes), 1.0 will\n mask all weights, while 0 will mask none.\n \"\"\"\n self._rng = init_rng\n self._sparsity = sparsity", "function_tokens": ["def", "__init__", "(", "self", ",", "init_rng", ",", "sparsity", ")", ":", "self", ".", "_rng", "=", "init_rng", "self", ".", "_sparsity", "=", "sparsity"], "url": "https://github.com/google-research/rigl/blob/f18abc7d82ae3acc6736068408a0186c9efa575c/rigl/experimental/jax/pruning/masked.py#L380-L389"}
{"nwo": "facebookresearch/pytorch_GAN_zoo", "sha": "b75dee40918caabb4fe7ec561522717bf096a8cb", "path": "models/trainer/DCGAN_trainer.py", "language": "python", "identifier": "DCGANTrainer.initModel", "parameters": "(self)", "argument_list": "", "return_statement": "", "docstring": "", "docstring_summary": "", "docstring_tokens": [], "function": "def initModel(self):\n self.model = DCGAN(useGPU=self.useGPU,\n **vars(self.modelConfig))", "function_tokens": ["def", "initModel", "(", "self", ")", ":", "self", ".", "model", "=", "DCGAN", "(", "useGPU", "=", "self", ".", "useGPU", ",", "*", "*", "vars", "(", "self", ".", "modelConfig", ")", ")"], "url": "https://github.com/facebookresearch/pytorch_GAN_zoo/blob/b75dee40918caabb4fe7ec561522717bf096a8cb/models/trainer/DCGAN_trainer.py#L33-L35"}
{"nwo": "biopython/biopython", "sha": "2dd97e71762af7b046d7f7f8a4f1e38db6b06c86", "path": "Bio/SearchIO/HmmerIO/hmmer3_tab.py", "language": "python", "identifier": "Hmmer3TabWriter.write_file", "parameters": "(self, qresults)", "argument_list": "", "return_statement": "return qresult_counter, hit_counter, hsp_counter, frag_counter", "docstring": "Write to the handle.\n\n Returns a tuple of how many QueryResult, Hit, and HSP objects were written.", "docstring_summary": "Write to the handle.", "docstring_tokens": ["Write", "to", "the", "handle", "."], "function": "def write_file(self, qresults):\n \"\"\"Write to the handle.\n\n Returns a tuple of how many QueryResult, Hit, and HSP objects were written.\n\n \"\"\"\n handle = self.handle\n qresult_counter, hit_counter, hsp_counter, frag_counter = 0, 0, 0, 0\n\n try:\n first_qresult = next(qresults)\n except StopIteration:\n handle.write(self._build_header())\n else:\n # write header\n handle.write(self._build_header(first_qresult))\n # and then the qresults\n for qresult in chain([first_qresult], qresults):\n if qresult:\n handle.write(self._build_row(qresult))\n qresult_counter += 1\n hit_counter += len(qresult)\n hsp_counter += sum(len(hit) for hit in qresult)\n frag_counter += sum(len(hit.fragments) for hit in qresult)\n\n return qresult_counter, hit_counter, hsp_counter, frag_counter", "function_tokens": ["def", "write_file", "(", "self", ",", "qresults", ")", ":", "handle", "=", "self", ".", "handle", "qresult_counter", ",", "hit_counter", ",", "hsp_counter", ",", "frag_counter", "=", "0", ",", "0", ",", "0", ",", "0", "try", ":", "first_qresult", "=", "next", "(", "qresults", ")", "except", "StopIteration", ":", "handle", ".", "write", "(", "self", ".", "_build_header", "(", ")", ")", "else", ":", "# write header", "handle", ".", "write", "(", "self", ".", "_build_header", "(", "first_qresult", ")", ")", "# and then the qresults", "for", "qresult", "in", "chain", "(", "[", "first_qresult", "]", ",", "qresults", ")", ":", "if", "qresult", ":", "handle", ".", "write", "(", "self", ".", "_build_row", "(", "qresult", ")", ")", "qresult_counter", "+=", "1", "hit_counter", "+=", "len", "(", "qresult", ")", "hsp_counter", "+=", "sum", "(", "len", "(", "hit", ")", "for", "hit", "in", "qresult", ")", "frag_counter", "+=", "sum", "(", "len", "(", "hit", ".", "fragments", ")", "for", "hit", "in", "qresult", ")", "return", "qresult_counter", ",", "hit_counter", ",", "hsp_counter", ",", "frag_counter"], "url": "https://github.com/biopython/biopython/blob/2dd97e71762af7b046d7f7f8a4f1e38db6b06c86/Bio/SearchIO/HmmerIO/hmmer3_tab.py#L222-L247"}
{"nwo": "nansencenter/nansat", "sha": "5700ec673fbf522c19b8dedcb01cc15f7cd29a6a", "path": "nansat/vrt.py", "language": "python", "identifier": "VRT.fix_global_metadata", "parameters": "(self, rm_metadata)", "argument_list": "", "return_statement": "", "docstring": "Remove unwanted global metadata and escape special characters", "docstring_summary": "Remove unwanted global metadata and escape special characters", "docstring_tokens": ["Remove", "unwanted", "global", "metadata", "and", "escape", "special", "characters"], "function": "def fix_global_metadata(self, rm_metadata):\n \"\"\"Remove unwanted global metadata and escape special characters\"\"\"\n metadata = remove_keys(self.dataset.GetMetadata(), rm_metadata)\n # Apply escaping to metadata strings to preserve special characters (in XML/HTML format)\n metadata_escaped = {}\n for key, val in list(metadata.items()):\n # Keys not escaped - this may be changed if needed...\n metadata_escaped[key] = gdal.EscapeString(val, gdal.CPLES_XML)\n self.dataset.SetMetadata(metadata_escaped)\n self.dataset.FlushCache()", "function_tokens": ["def", "fix_global_metadata", "(", "self", ",", "rm_metadata", ")", ":", "metadata", "=", "remove_keys", "(", "self", ".", "dataset", ".", "GetMetadata", "(", ")", ",", "rm_metadata", ")", "# Apply escaping to metadata strings to preserve special characters (in XML/HTML format)", "metadata_escaped", "=", "{", "}", "for", "key", ",", "val", "in", "list", "(", "metadata", ".", "items", "(", ")", ")", ":", "# Keys not escaped - this may be changed if needed...", "metadata_escaped", "[", "key", "]", "=", "gdal", ".", "EscapeString", "(", "val", ",", "gdal", ".", "CPLES_XML", ")", "self", ".", "dataset", ".", "SetMetadata", "(", "metadata_escaped", ")", "self", ".", "dataset", ".", "FlushCache", "(", ")"], "url": "https://github.com/nansencenter/nansat/blob/5700ec673fbf522c19b8dedcb01cc15f7cd29a6a/nansat/vrt.py#L801-L810"}
{"nwo": "zhl2008/awd-platform", "sha": "0416b31abea29743387b10b3914581fbe8e7da5e", "path": "web_flaskbb/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/_structures.py", "language": "python", "identifier": "Infinity.__eq__", "parameters": "(self, other)", "argument_list": "", "return_statement": "return isinstance(other, self.__class__)", "docstring": "", "docstring_summary": "", "docstring_tokens": [], "function": "def __eq__(self, other):\n return isinstance(other, self.__class__)", "function_tokens": ["def", "__eq__", "(", "self", ",", "other", ")", ":", "return", "isinstance", "(", "other", ",", "self", ".", "__class__", ")"], "url": "https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/_structures.py#L21-L22"}