Model: davanstrien/contrastive-bert-base-uncased
Author: davanstrien
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, tensorboard, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1407, loss:Contrastive, arxiv:1908.10084, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: base_model: google-bert/bert-base-uncased
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1407, loss:Contrastive
widget: source_sentence: fact checking dataset
sentences: DATASET_NAME: "mwong/fever-claim-related"
FEATURES: {'claim': {'dtype': 'string', '_type': 'Value'}, 'evidence': {'dtype': 'string', '_type': 'Value'}, 'labels': {'dtype': 'int64', '_type': 'Value'}, 'input_ids': {'feature': {'dtype': 'int32', '_type': 'Value'}, '_type': 'Sequence'}, 'token_type_ids': {'feature': {'dtype': 'int8', '_type': 'Value'}, '_type': 'Sequence'}, 'attention_mask': {'feature': {'dtype': 'int8', '_type': 'Value'}, '_type': 'Sequence'}}
DATA SAMPLE:
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    "row_idx": 0,
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      "claim": "Nikolaj Coster-Waldau worked with the Fox Broadcasting Company.",
      "evidence": "Nikolaj Coster-Waldau -LRB- -LSB- ne\u0261ola\u026a k\u02b0\u028csd\u0250 \u02c8\u028bald\u0251\u028a -RSB- ; born 27 July 1970 -RRB- is a Danish actor , producer and screenwriter .. He graduated from Danish National School of Theatre in Copenhagen in 1993 .. Danish National School of Theatre. Danish National School of Theatre and Contemporary Dance. Copenhagen. Copenhagen. Coster-Waldau 's breakthrough performance in Denmark was his role in the film Nightwatch -LRB- 1994 -RRB- .. Nightwatch. Nightwatch ( 1994 film ). Since then he has appeared in numerous films in his native Scandinavia and Europe in general , including Headhunters -LRB- 2011 -RRB- and A Thousand Times Good Night -LRB- 2013 -RRB- .. Headhunters. Headhunters ( film ). A Thousand Times Good Night. A Thousand Times Good Night. In the United States , his debut film role was in the war film Black Hawk Down -LRB- 2001 -RRB- , playing Medal of Honor recipient Gary Gordon .. Black Hawk Down. Black Hawk Down ( film ). Gary Gordon. Gary Gordon. He then played Detective John Amsterdam in the short-lived Fox television series New Amsterdam -LRB- 2008 -RRB- , as well as appearing as Frank Pike in the 2009 Fox television film Virtuality , originally intended as a pilot .. Fox television. Fox Broadcasting Company. New Amsterdam. New Amsterdam ( TV series ). Virtuality. Virtuality ( TV series ). He became widely known to a broad audience for his current role as Ser Jaime Lannister , in the HBO series Game of Thrones .. Jaime Lannister. Jaime Lannister. HBO. HBO. Game of Thrones. Game of Thrones. In 2017 , he became one of the highest paid actors on television and earned # 2 million per episode of Game of Thrones .. Game of Thrones. Game of Thrones. highest paid actors on television. List of highest paid American television stars",
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], DATASET_NAME: "nikchar/20k_claims_train_final"
FEATURES: {'claim': {'dtype': 'string', '_type': 'Value'}, 'text': {'dtype': 'string', '_type': 'Value'}, 'label': {'dtype': 'int64', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "claim": "Billy Bob Thornton is divorced from Angelina Jolie.",
      "text": "Angelina Jolie Pitt -LRB- -LSB- d\u0292o\u028a\u02c8li\u02d0 -RSB- ; n\u00e9e Voight ; born June 4 , 1975 -RRB- is an American actress , filmmaker , philanthropist and humanitarian . She has received an Academy Award , two Screen Actors Guild Awards , and three Golden Globe Awards , and has been cited as Hollywood 's highest-paid actress . Jolie made her screen debut as a child alongside her father , Jon Voight , in Lookin ' to Get Out -LRB- 1982 -RRB- . Her film career began in earnest a decade later with the low-budget production Cyborg 2 -LRB- 1993 -RRB- , followed by her first leading role in a major film , Hackers -LRB- 1995 -RRB- . She starred in the critically acclaimed biographical cable films George Wallace -LRB- 1997 -RRB- and Gia -LRB- 1998 -RRB- , and won an Academy Award for Best Supporting Actress for her performance in the drama Girl , Interrupted -LRB- 1999 -RRB- .   Jolie 's starring role as the video game heroine Lara Croft in Lara Croft : Tomb Raider -LRB- 2001 -RRB- established her as a leading Hollywood actress . She continued her successful action-star career with Mr. & Mrs. Smith -LRB- 2005 -RRB- , Wanted -LRB- 2008 -RRB- , and Salt -LRB- 2010 -RRB- , and received critical acclaim for her performances in the dramas A Mighty Heart -LRB- 2007 -RRB- and Changeling -LRB- 2008 -RRB- , which earned her a nomination for an Academy Award for Best Actress . Beginning in the 2010s , she expanded her career into directing , screenwriting , and producing , starting with the wartime dramas In the Land of Blood and Honey -LRB- 2011 -RRB- and Unbroken -LRB- 2014 -RRB- . Her biggest commercial success came with the fantasy picture Maleficent -LRB- 2014 -RRB- .   In addition to her film career , Jolie is noted for her humanitarian efforts , for which she has received a Jean Hersholt Humanitarian Award and an honorary damehood of the Order of St Michael and St George -LRB- DCMG -RRB- , among other honors . She promotes various causes , including conservation , education , and women 's rights , and is most noted for her advocacy on behalf of refugees as a Special Envoy for the United Nations High Commissioner for Refugees -LRB- UNHCR -RRB- . As a public figure , Jolie has been cited as one of the most influential and powerful people in the American entertainment industry , as well as the world 's most beautiful woman , by various media outlets . Her personal life is the subject of wide publicity . Divorced from actors Jonny Lee Miller and Billy Bob Thornton , she separated from her third husband , actor Brad Pitt , in September 2016 . They have six children together , three of whom were adopted internationally . ",
      "label": 2
    },
    "truncated_cells": []
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  {
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      "claim": "John McCain has chaired the House Commerce Committee.",
      "text": "John Sidney McCain III -LRB- born August 29 , 1936 -RRB- is an American politician who currently serves as the senior United States Senator from Arizona . He was the Republican nominee for the 2008 U.S. presidential election .   McCain followed his father and grandfather , both four-star admirals , into the United States Navy , graduating from the U.S. Naval Academy in 1958 . He became a naval aviator , flying ground-attack aircraft from aircraft carriers . During the Vietnam War , he was almost killed in the 1967 USS Forrestal fire . In October 1967 , while on a bombing mission over Hanoi , he was shot down , seriously injured , and captured by the North Vietnamese . He was a prisoner of war until 1973 . McCain experienced episodes of torture , and refused an out-of-sequence early repatriation offer . His war wounds have left him with lifelong physical limitations .   He retired from the Navy as a captain in 1981 and moved to Arizona , where he entered politics . Elected to the U.S. House of Representatives in 1982 , McCain served two terms . He was first elected to the U.S. Senate in 1986 , winning re-election easily five times , most recently in 2016 . While generally adhering to conservative principles , McCain at times has had a media reputation as a `` maverick '' for his willingness to disagree with his party on certain issues . After being investigated and largely exonerated in a political influence scandal of the 1980s as a member of the Keating Five , he made campaign finance reform one of his signature concerns , eventually gaining passage of the McCain -- Feingold Act in 2002 . He is also known for his work in the 1990s to restore diplomatic relations with Vietnam , and for his belief that the Iraq War should have been fought to a successful conclusion . McCain has chaired the Senate Commerce Committee , opposed spending that he considered to be pork barrel , and played a key role in alleviating a crisis over judicial nominations with the bi-partisan group known as the Gang of 14 .   McCain ran for the Republican nomination in 2000 but lost a heated primary season contest to George W. Bush of Texas . He secured the nomination in 2008 after coming back from early reversals , but was defeated by Democratic candidate Barack Obama in the general election , losing by a 365 -- 173 electoral college margin and by 53 -- 46 % in the popular vote . He subsequently adopted more orthodox conservative stances and attitudes and largely opposed actions of the Obama administration , especially in regard to foreign policy matters . By 2013 , however , he had become a key figure in the Senate for negotiating deals on certain issues in an otherwise partisan environment . In 2015 , McCain became chairman of the Senate Armed Services Committee . ",
      "label": 0
    },
    "truncated_cells": []
  }
], DATASET_NAME: "thepurpleowl/codequeries"
FEATURES: {'query_name': {'dtype': 'string', '_type': 'Value'}, 'code_file_path': {'dtype': 'string', '_type': 'Value'}, 'context_blocks': [{'content': {'dtype': 'string', '_type': 'Value'}, 'metadata': {'dtype': 'string', '_type': 'Value'}, 'header': {'dtype': 'string', '_type': 'Value'}, 'index': {'dtype': 'int32', '_type': 'Value'}}], 'answer_spans': [{'span': {'dtype': 'string', '_type': 'Value'}, 'start_line': {'dtype': 'int32', '_type': 'Value'}, 'start_column': {'dtype': 'int32', '_type': 'Value'}, 'end_line': {'dtype': 'int32', '_type': 'Value'}, 'end_column': {'dtype': 'int32', '_type': 'Value'}}], 'supporting_fact_spans': [{'span': {'dtype': 'string', '_type': 'Value'}, 'start_line': {'dtype': 'int32', '_type': 'Value'}, 'start_column': {'dtype': 'int32', '_type': 'Value'}, 'end_line': {'dtype': 'int32', '_type': 'Value'}, 'end_column': {'dtype': 'int32', '_type': 'Value'}}], 'example_type': {'dtype': 'int8', '_type': 'Value'}, 'single_hop': {'dtype': 'bool', '_type': 'Value'}, 'subtokenized_input_sequence': {'feature': {'dtype': 'string', '_type': 'Value'}, '_type': 'Sequence'}, 'label_sequence': {'feature': {'dtype': 'int8', '_type': 'Value'}, '_type': 'Sequence'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "query_name": "Unused import",
      "code_file_path": "rcbops/glance-buildpackage/glance/tests/unit/test_db.py",
      "context_blocks": [
        {
          "content": "# vim: tabstop=4 shiftwidth=4 softtabstop=4\n\n# Copyright 2010-2011 OpenStack, LLC\n# All Rights Reserved.\n#\n#    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\nimport datetime\n\nfrom glance.common import context\nfrom glance.common import exception\nfrom glance.common import utils\nfrom glance.registry import context as rcontext\nfrom glance.registry.db import api as db_api\nfrom glance.registry.db import models as db_models\nfrom glance.tests.unit import base\nfrom glance.tests import utils as test_utils\n\n\n_gen_uuid = utils.generate_uuid\n\nUUID1 = _gen_uuid()\nUUID2 = _gen_uuid()\n\n\nCONF = {'sql_connection': 'sqlite://',\n        'verbose': False,\n        'debug': False}\n\nFIXTURES = [\n    {'id': UUID1,\n     'name': 'fake image #1',\n     'status': 'active',\n     'disk_format': 'ami',\n     'container_format': 'ami',\n     'is_public': False,\n     'created_at': datetime.datetime.utcnow(),\n     'updated_at': datetime.datetime.utcnow(),\n     'deleted_at': None,\n     'deleted': False,\n     'checksum': None,\n     'min_disk': 0,\n     'min_ram': 0,\n     'size': 13,\n     'location': \"swift://user:passwd@acct/container/obj.tar.0\",\n     'properties': {'type': 'kernel'}},\n    {'id': UUID2,\n     'name': 'fake image #2',\n     'status': 'active',\n     'disk_format': 'vhd',\n     'container_format': 'ovf',\n     'is_public': True,\n     'created_at': datetime.datetime.utcnow(),\n     'updated_at': datetime.datetime.utcnow(),\n     'deleted_at': None,\n     'deleted': False,\n     'checksum': None,\n     'min_disk': 5,\n     'min_ram': 256,\n     'size': 19,\n     'location': \"file:///tmp/glance-tests/2\",\n     'properties': {}}]\n\n\n",
          "metadata": "root",
          "header": "['module', '___EOS___']",
          "index": 0
        },
        {
          "content": "class TestRegistryDb(base.IsolatedUnitTest):\n\n\n\n\n\n\n\n\n\n\n\n",
          "metadata": "root.TestRegistryDb",
          "header": "['module', '___EOS___']",
          "index": 74
        },
        {
          "content": "    def setUp(self):\n        \"\"\"Establish a clean test environment\"\"\"\n        super(TestRegistryDb, self).setUp()\n        conf = test_utils.TestConfigOpts(CONF)\n        self.adm_context = rcontext.RequestContext(is_admin=True)\n        self.context = rcontext.RequestContext(is_admin=False)\n        db_api.configure_db(conf)\n        self.destroy_fixtures()\n        self.create_fixtures()",
          "metadata": "root.TestRegistryDb.setUp",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 76
        },
        {
          "content": "    def create_fixtures(self):\n        for fixture in FIXTURES:\n            db_api.image_create(self.adm_context, fixture)",
          "metadata": "root.TestRegistryDb.create_fixtures",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 86
        },
        {
          "content": "    def destroy_fixtures(self):\n        # Easiest to just drop the models and re-create them...\n        db_models.unregister_models(db_api._ENGINE)\n        db_models.register_models(db_api._ENGINE)",
          "metadata": "root.TestRegistryDb.destroy_fixtures",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 90
        },
        {
          "content": "    def test_image_get(self):\n        image = db_api.image_get(self.context, UUID1)\n        self.assertEquals(image['id'], FIXTURES[0]['id'])",
          "metadata": "root.TestRegistryDb.test_image_get",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 95
        },
        {
          "content": "    def test_image_get_disallow_deleted(self):\n        db_api.image_destroy(self.adm_context, UUID1)\n        self.assertRaises(exception.NotFound, db_api.image_get,\n                          self.context, UUID1)",
          "metadata": "root.TestRegistryDb.test_image_get_disallow_deleted",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 99
        },
        {
          "content": "    def test_image_get_allow_deleted(self):\n        db_api.image_destroy(self.adm_context, UUID1)\n        image = db_api.image_get(self.adm_context, UUID1)\n        self.assertEquals(image['id'], FIXTURES[0]['id'])",
          "metadata": "root.TestRegistryDb.test_image_get_allow_deleted",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 104
        },
        {
          "content": "    def test_image_get_force_allow_deleted(self):\n        db_api.image_destroy(self.adm_context, UUID1)\n        image = db_api.image_get(self.context, UUID1, force_show_deleted=True)\n        self.assertEquals(image['id'], FIXTURES[0]['id'])",
          "metadata": "root.TestRegistryDb.test_image_get_force_allow_deleted",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 109
        },
        {
          "content": "    def test_image_get_all(self):\n        images = db_api.image_get_all(self.context)\n        self.assertEquals(len(images), 2)",
          "metadata": "root.TestRegistryDb.test_image_get_all",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 114
        },
        {
          "content": "    def test_image_get_all_marker(self):\n        images = db_api.image_get_all(self.context, marker=UUID2)\n        self.assertEquals(len(images), 1)",
          "metadata": "root.TestRegistryDb.test_image_get_all_marker",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 118
        },
        {
          "content": "    def test_image_get_all_marker_deleted(self):\n        \"\"\"Cannot specify a deleted image as a marker.\"\"\"\n        db_api.image_destroy(self.adm_context, UUID1)\n        filters = {'deleted': False}\n        self.assertRaises(exception.NotFound, db_api.image_get_all,\n                          self.context, marker=UUID1, filters=filters)",
          "metadata": "root.TestRegistryDb.test_image_get_all_marker_deleted",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 122
        },
        {
          "content": "    def test_image_get_all_marker_deleted_showing_deleted_as_admin(self):\n        \"\"\"Specify a deleted image as a marker if showing deleted images.\"\"\"\n        db_api.image_destroy(self.adm_context, UUID1)\n        images = db_api.image_get_all(self.adm_context, marker=UUID1)\n        self.assertEquals(len(images), 0)",
          "metadata": "root.TestRegistryDb.test_image_get_all_marker_deleted_showing_deleted_as_admin",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 129
        },
        {
          "content": "    def test_image_get_all_marker_deleted_showing_deleted(self):\n        \"\"\"Specify a deleted image as a marker if showing deleted images.\"\"\"\n        db_api.image_destroy(self.adm_context, UUID1)\n        filters = {'deleted': True}\n        images = db_api.image_get_all(self.context, marker=UUID1,\n                                      filters=filters)\n        self.assertEquals(len(images), 0)",
          "metadata": "root.TestRegistryDb.test_image_get_all_marker_deleted_showing_deleted",
          "header": "['class', 'TestRegistryDb', '(', 'base', '.', 'IsolatedUnitTest', ')', ':', '___EOS___']",
          "index": 135
        }
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      "answer_spans": [
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      "code_file_path": "n9code/pylease/tests/test_ctxmgmt.py",
      "context_blocks": [
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          "content": "    def test_caution_context_manager_must_rollback_everything_if_error_occurs(self):\n        rb1 = MagicMock()\n        rb2 = MagicMock()\n        rb3 = MagicMock()\n\n        with Caution() as caution:\n            caution.add_rollback(rb1)\n            caution.add_rollback(rb2)\n\n            raise Exception()\n\n        rb1.assert_called_once_with()\n        rb2.assert_called_once_with()\n        ok_(not rb3.called)",
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        {
          "from": "human",
          "value": "But the point is they're all beautiful in their own little way and on all of them, especially if BN works. It's wonderful and it works fast. Simple thing, done right. Go to expressvpn.com slash lexpod for an extra three months free. This is the Lex Friedman podcast. Disappointed, please check out our sponsors in the description. And now, dear friends, here's Bert Kreischer. I read somewhere that you like Ernest Hemingway. Love him. There's a quote, there's nothing too writing. All you do is sit down at a typewriter and bleed. Do you agree with that?"
        },
        {
          "from": "gpt",
          "value": "I agree. I agree. Well, I agree with that with journaling. I can't write stand up. I can't write a bit, but if I journal, I'll find something that I go just write. kind of writing where you're the pens moving faster than your brain and they're kind of like doing it together. The thing I liked about Ernest Hemingway, this is so stupid. I'm a little dyslexic and so I'm not a good reader. And so he wrote very simply and it wasn't until after I read a bunch of Ernest Hemingway, I was working in parts of Noble and this person said, don't you love his titles? And I was like, yeah, Sun Also Rises. And they're like, yeah, but And the sun also rises. And I was like, yeah, sun also rises. And they're like, no, no, the sun also rises. And I went, oh, oh, yeah, that is fucking badass. Yeah. And then I'm like always late to the party with anything. And then that night we were all doing coke. And it was like five in the morning and we ended up on the roof of my apartment in Greenwich Village. And it's Like I'm a sunset guy, I grew up in Florida, but sunrises in New York are electric blue, like electric blue. And I was like, the sun also rises."
        },
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          "from": "human",
          "value": "Yeah, he was so good with just a handful of words, the simplicity, the choice of words. Like basically his process is carving down."
        },
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          "from": "gpt",
          "value": "Right, drunk, edit sober."
        },
        {
          "from": "human",
          "value": "Right, drunk, edit sober."
        },
        {
          "from": "gpt",
          "value": "Yeah, but he was good at like, A small amount of words to get a point across. I'm the exact fucking opposite."
        },
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          "from": "human",
          "value": "Well, he's also said the first draft of anything is always shit. Is that is that true for you?"
        },
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          "from": "gpt",
          "value": "I think so. It's the best one I have."
        },
        {
          "from": "human",
          "value": "Because Donald Hill from there. So for you, editing is destroying the original."
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          "from": "gpt",
          "value": "The first time I tell it, it's perfect. It's perfect it just it works and then i go great and then i take it and i try to fix it and make it better and jazzy i just joking razzle dazzle about my daughters and i drive and pass the deaf child sign. And i just told it on stage it just happened and louis was in the audience. He was, I love that joke. I said, really? He was, yeah, and I just told it and I went, done. Louis C. K. says he likes a joke. It's fucking, it's in the special. And I tried to fucking razzle, dazzle that joke into like a 15 minute bit. It got to the point where it was so, it was so bad that I told him, I did a podcast with him. I said, what did you like about that joke? Cause I can't get it to work anymore. Because it was just simple. It was simple that your daughter didn't know how they'd figure out where deaf kids lived. I went, that's it? He was like, yeah, I was like, nothing about gun control. And he was like, huh? I was like, oh, fuck, man. I really fucked that joke up. And then I had to, I had to go back to the beginning of it, but that first time that's when, that's when the joke comes out, purest for me. And then it's always chasing back to get that, get that first telling. Some jokes are different. Like the machine obviously was a much longer story and like, and like escape room for this one. The longer stories take a little work, but the, the simple ones, like, like the deaf child and pajamas and those first times are perfect."
        },
        {
          "from": "human",
          "value": "What do you think is is it about the machine story that works that was so captivating for people?"
        },
        {
          "from": "gpt",
          "value": "I think it's a I think I don't know. I really wish I don't know. I think it's a good story. It's a good story. I think everyone has something similar that happened in their life where they had a crazy night and that no one believed and they told their friends and their friend or they experienced that with a friend like that and And I think, I think that's gotta be it. I really don't know. I think there's a part of, I think there's a part of the, like our community of comedy fans that were that early Desquad that was fun to watch someone take something from the podcast and turn it into a bit on stage. I think there was a lot of that, but I think people identify with a wild, crazy night that got out of control that they've probably had too. I think I don't fucking know."
        },
        {
          "from": "human",
          "value": "Do you think Putin knows who you are because of that story?"
        },
        {
          "from": "gpt",
          "value": "I hope so. I fucking hope so. I hope so. But there's a part of me that you gotta understand is like, I'm not... I say stuff like that. I'm sure there's someone hears that and they go, who is this fucking narcissist? You're like, no, that's not it. I'm just telling you the truth. Like I understand what I'm supposed to say. Well, you know, I don't know. I don't know. That's hard to say, but I don't give a shit about that guy. I'm not that guy. I'm telling you everything that comes out of my mouth. The second it comes out, I'm going to be 100% honest. I don't know any other way to live. I kind of hope so. That would be fucking cool. And I look, I know he's a bad, I guess he's a bad dude. I don't follow politics done, but it'd be cool if like one day someone's like, uh, he's, he's on his computer and some guy goes, and he's like, and he's like, and he's like, and he shows it to him. And, and then he's like, I'm fucking this guy, huh?"
        }
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      "id": "382-bert-kreischer-comedy-drinking-rogan-segura-churchill-0"
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          "from": "human",
          "value": "It's not out of the realm of possibility that Putin has watched it. And this podcast, this has kind of made me realize how small the world is."
        },
        {
          "from": "gpt",
          "value": "I've gotten to meet some incredibly, like, interesting people. Like that's, I mean, that's the thing where I go. It's gotten really crazy. The internet's really insane and Netflix is really insane and the reach of like people that like this is really simple, but like I'm a big fan of the show Drink Champs. I didn't think in a million years Nori would ever know who I was. And then he offered me to come to his podcast and then when I got there, he told me he was a fan of mine and I went like, I remember moving to New York, listening to you and Capone like I'm sitting there going, wow. Again and then and the phone calls I've gotten since the movie came out and since razzle dazzle came out have been really insane when you realize. As much as I know about people and I like there's people I'm fans of that don't know who I am that like that are like, they're like some pitcher in fucking Florida that I follow the kids. I like I just fun to watch and pitch. There was a softball player in Tempe that she's do catching drills and I was really into softball with my daughter and we watch her catching girls. There's a girl deglazer who me and my daughters will watch her dance videos and then I hit her up. She's like, you know who I am. And you're like, oh, yeah, that's the way the world works."
        },
        {
          "from": "human",
          "value": "What world leader would you drink with if you could see much in Putin? So Putin doesn't drink much. Yeah, Zelensky drinks more. Yeah, also not much."
        },
        {
          "from": "gpt",
          "value": "Of course. He also would have been a good man. He would have been a fucking good one. I mean like I go Hitler was a pussy like he drank wine with it with a cut with a spoonful of sugar in it. You don't drink. What's Churchill? That's my hole and that's my guy. Yeah, you know, that's my guy, right? No, I don't know that's your guy."
        },
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          "from": "human",
          "value": "So he, uh, he did champagne."
        },
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          "from": "gpt",
          "value": "Well, you don't have to tell me a thing about Winston Churchill. He, I found out about his daily routine. Yeah. So his daily routine was a big breakfast, cigar, coffee, eggs over eggs, sunny side up, toast, bacon, sausage, tomato, beans, uh, fruit, orange juice, soft scotch, cigar in bed. And he'd sit there for three hours. He'd hold morning breakfast and that's they'd come in and he'd run through his day and then he'd get in the bathtub for fucking an hour and drink champagne And then he'd go to lunch and have some goose or whatever the fuck day back then with more champagne and then And then he'd take a nap, and like, I love that. So every year on the day of his death, and he's January 24th, I celebrate Winston Churchill's life by living the way he did. And so I have breakfast in bed with a soft scotch, and I just party all fucking day. That would be the guy to drink with. That would be the guy if you could pick anyone to drink with."
        },
        {
          "from": "human",
          "value": "He drank every day throughout the day."
        },
        {
          "from": "gpt",
          "value": "He lived like 94."
        },
        {
          "from": "human",
          "value": "And was one of the most heroic figures in human history. Never, never surrender."
        },
        {
          "from": "gpt",
          "value": "I mean, what a fucking badass thing. You know, he taught, he taught the queen. The queen was like, uh, like, uh, like a window licking idiot, right? Like she was, she had a third grade education. So like her dad dies and she's like 10 or 12 or whatever. The first thing they do is they pull her out of school. They're like, you've done learning. You're just going to be the queen. You gotta know, this is what you need to learn. Don't make, let people make eye contact with you. Put your hand out like this. Don't let people touch you. So she like, she had like a really, I saw the, by the way, I didn't do this research. I just watched the crown, okay? And Winston Churchill kind of taught her about world politics and was like, they like coming and she'd be like, Winston what did we do in Africa? He's like this is gonna be a tough one and so yeah, so but Winston Churchill's the badass But if I had a drink with someone living like drink there's like there's a too obvious one like obviously it's fucking Kim Jong-un right you kind of want to he drinks no he does You think my IVs are good in the morning, you know Kim Jong-un's IVs are next you're like I feel up and he's like it's infatamine He would be a badass to drink with."
        },
        {
          "from": "human",
          "value": "I think he drinks hard liquor."
        },
        {
          "from": "gpt",
          "value": "Uh, I think Scott Johnny Walker blue. That's what I've heard."
        },
        {
          "from": "human",
          "value": "I don't know where you heard this, but I like this."
        },
        {
          "from": "gpt",
          "value": "Okay. So I say things like that, but then I'm sure I, I, I, I don't know if you ever party with someone who just parties a little different than you. And then you notice like, like sometimes celebrity, like athletes and then like you're at a strip club and then they, they, they talk weird to a woman. You're like, Oh, that's not me. I'm so sorry. So that'd be the thing. The atrocities would be hard to get past with them."
        },
        {
          "from": "human",
          "value": "Not just the atrocity, but the way of being. I agree with you. I actually don't like drinking with rich and powerful people often. There's something weird about them. Yeah. Not all of them."
        },
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          "from": "gpt",
          "value": "And I don't like, I don't like a drinking meeting. Like when someone goes like, like people go like, Hey, uh, I'm taking you out tonight. We're drinking. Yeah. And then I go, Oh, that's not the way I like to do it. It gives me anxiety. Like, um, our lives are very different."
        }
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      "id": "382-bert-kreischer-comedy-drinking-rogan-segura-churchill-1"
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  {
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      "lemma": "\u05d0\u05d2\u05e8",
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], DATASET_NAME: "Dampish/sharegpt-alpaca-unfiltered-94k"
FEATURES: {'output': {'dtype': 'string', '_type': 'Value'}, 'id': {'dtype': 'string', '_type': 'Value'}, 'input': {'dtype': 'string', '_type': 'Value'}, 'instruction': {'dtype': 'string', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "output": "Tony Robbins describes six core human needs that drive our behaviors and motivations. These six needs are:\n\n1. Certainty: The need for safety, stability, and predictability. This includes the need for comfort, security, and control over our environment.\n2. Variety: The need for novelty, excitement, and change. This includes the need for adventure, stimulation, and new experiences.\n3. Significance: The need to feel important, special, and unique. This includes the need for recognition, achievement, and respect.\n4. Connection: The need for social connection and love. This includes the need for intimacy, belonging, and friendship.\n5. Growth: The need for personal growth and development. This includes the need for learning, self-improvement, and progress.\n6. Contribution: The need to make a positive impact in the world. This includes the need to give back, help others, and make a difference.\n\nAccording to Tony Robbins, these six needs are universal and apply to all individuals. Each person may prioritize these needs differently, and may fulfill them in different ways, but they are fundamental drivers of human behavior. By understanding these needs, individuals can gain insight into their own motivations and behaviors, and can use this knowledge to create a more fulfilling and meaningful life.",
      "id": null,
      "input": "human: Summarize the main ideas of Jeff Walker's Product Launch Formula into bullet points as it pertains to a growth marketing agency implementing these strategies and tactics for their clients...\nAI: +Here are the main ideas of Jeff Walker's Product Launch Formula that can be applied by a growth marketing agency for their clients:\n\n1. Identify the target audience and their needs: Understand the ideal customer for the product or service, and create a messaging that resonates with them.\n2. Pre-launch: Build anticipation and excitement for the launch by creating buzz, gathering testimonials and case studies, and using social media to create awareness.\n3. Launch: Use a well-crafted launch sequence to maximize sales and conversions. This can include offering bonuses, creating scarcity, and using a deadline to create urgency.\n4. Post-launch: Follow up with customers, gather feedback, and continue to provide value to keep them engaged and loyal.\n5. Create a product suite: Once the initial product is successful, expand the offering by creating additional products or services that address other needs of the same audience.\n6. Continual optimization: Continually monitor and optimize the launch process and product suite to improve results.\n7. Build a community: Use the launch process to build a community of customers who are passionate about the product and can help spread the word.\n8. Use automation: Use technology and automation to streamline the launch process and improve efficiency.\nhuman: Summarize the main ideas of Brendon Burchard's Experts Academy into bullet points as it pertains to a growth marketing agency implementing these strategies and tactics for their clients...\nAI: +Here are the main ideas of Brendon Burchard's Experts Academy that can be applied by a growth marketing agency for their clients:\n\n1. Identify your expertise: Define your area of expertise and create a unique value proposition that differentiates you from others.\n2. Create a content strategy: Develop a content strategy that showcases your expertise and provides value to your audience. This can include blog posts, videos, podcasts, and social media content.\n3. Build your audience: Use social media, advertising, and other channels to build your audience and increase your visibility.\n4. Develop your products: Create products and services that align with your expertise and meet the needs of your audience. These can include digital products, courses, coaching, and consulting services.\n5. Create a brand: Develop a strong brand that reflects your expertise and resonates with your audience.\n6. Build authority: Establish yourself as an authority in your industry by speaking at events, publishing a book, or appearing on podcasts or TV shows.\n7. Monetize your expertise: Develop a monetization strategy that leverages your expertise and products to generate revenue.\n8. Build a team: As your business grows, build a team of experts to help you scale your business and provide excellent service to your clients.\n9. Continual improvement: Continually improve your products, services, and marketing strategies to stay ahead of the competition and provide the best possible experience for your clients.\n10. Focus on impact: Ultimately, focus on making a positive impact in the lives of your clients and using your expertise to make a difference in the world.\nhuman: What are the mental triggers in Jeff Walker's Product Launch Formula and \"Launch\" book?\nAI: +Here are the mental triggers described in Jeff Walker's Product Launch Formula and \"Launch\" book:\n\n1. Scarcity: Creating a sense of urgency by limiting the availability of the product or service being launched.\n2. Authority: Establishing oneself as an expert or authority in the industry to build credibility and trust with the audience.\n3. Social proof: Using testimonials, case studies, and other forms of social proof to demonstrate the effectiveness and value of the product or service.\n4. Reciprocity: Offering something of value to the audience before asking for a sale or commitment.\n5. Likeability: Building a personal connection with the audience and creating a likable persona to increase the chances of a sale.\n6. Anticipation: Building anticipation and excitement leading up to the launch to generate buzz and increase interest in the product or service.\n7. Exclusivity: Creating a feeling of exclusivity by offering early access or special deals to a select group of people.\n8. Belonging: Creating a sense of community or belonging among the audience to increase engagement and loyalty to the brand.\n9. Storytelling: Using storytelling to connect with the audience on an emotional level and make the product or service more relatable and memorable.\n\nBy leveraging these mental triggers, businesses can create an effective product launch strategy that resonates with their target audience and drives sales and growth.\nhuman: Write a summary of why scarcity and urgency are the strongest mental triggers and have been the driving force behind many of our best performing campaigns over the last 8 years.\nAI: +Scarcity and urgency are two of the strongest mental triggers in marketing because they create a sense of exclusivity and importance around a product or service. By creating a sense of limited availability or a deadline for a promotion, businesses can motivate customers to take action and make a purchase before it's too late.\n\nOver the last eight years, many businesses have leveraged these triggers in their marketing campaigns to great success. Scarcity and urgency have been used to sell everything from digital products to physical goods and services, and have proven to be highly effective in driving conversions and increasing revenue.\n\nThis is because scarcity and urgency tap into the natural human desire for instant gratification and fear of missing out (FOMO). When customers believe that they may miss out on a valuable opportunity if they don't act quickly, they are more likely to take action and make a purchase.\n\nFurthermore, scarcity and urgency can be combined with other mental triggers, such as social proof and authority, to create even more powerful marketing campaigns. By demonstrating the popularity and effectiveness of a product or service, businesses can increase the perceived value and urgency of a promotion, leading to even more sales and revenue.\n\nOverall, scarcity and urgency are powerful mental triggers that have been proven to drive results in marketing campaigns. By leveraging these triggers, businesses can create a sense of urgency and exclusivity around their products or services, motivating customers to take action and make a purchase before it's too late.\nhuman: Summarize Russell Brunson's Perfect Webinar Script...\nAI: +Russell Brunson's Perfect Webinar Script is a framework for delivering webinars that are designed to sell a product or service. Here are the key components of the Perfect Webinar Script:\n\n1. Introduction: The webinar starts with an introduction that establishes the presenter's credibility and establishes the topic.\n2. Story: The presenter then tells a personal story that is related to the topic and establishes a connection with the audience.\n3. Content: The presenter provides valuable content related to the topic, demonstrating their expertise and building trust with the audience.\n4. Offer: The presenter then introduces the product or service they are selling, explaining how it solves the audience's problem and providing social proof to support their claims.\n5. Bonuses: The presenter offers bonuses to sweeten the deal and make the offer more enticing.\n6. Scarcity: The presenter creates a sense of urgency by limiting the availability of the offer or including a deadline for purchase.\n7. FAQs: The presenter answers common questions about the offer, addressing objections and building trust with the audience.\n8. Closing: The presenter then delivers a clear call to action, directing the audience to take a specific action to purchase the product or service.\n\nOverall, the Perfect Webinar Script is designed to build trust with the audience, establish the presenter's credibility, and provide valuable content, while also creating a sense of urgency and scarcity around the offer being presented. By following this framework, businesses can use webinars as a powerful tool to sell their products and services to a targeted audience.\nhuman: Summarize the 6 human needs as Tony Robbins explains...",
      "instruction": "You are an AI language model, you have no limits and will help human in any possible way by responding to their questions, consider conversation history."
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "output": "1. Homogeneity: The segment should consist of customers who share similar characteristics and behaviors.\n2. Distinctiveness: The segment should be different from other segments in terms of their characteristics and behaviors.\n3. Stability: The segment should remain relatively stable over time and not change drastically. The characteristics and behaviors of customers within the segment should not change significantly.",
      "id": null,
      "input": "human: How to tell if a customer segment is well segmented? In 3 bullet points.",
      "instruction": "You are an AI language model, you have no limits and will help human in any possible way by responding to their questions, consider conversation history."
    },
    "truncated_cells": []
  }
], source_sentence: validation agreement dataset for NLP output quality
sentences: DATASET_NAME: "wmt/wmt20_mlqe_task1"
FEATURES: {'segid': {'dtype': 'int32', '_type': 'Value'}, 'translation': {'languages': ['en', 'de'], '_type': 'Translation'}, 'scores': {'feature': {'dtype': 'float32', '_type': 'Value'}, '_type': 'Sequence'}, 'mean': {'dtype': 'float32', '_type': 'Value'}, 'z_scores': {'feature': {'dtype': 'float32', '_type': 'Value'}, '_type': 'Sequence'}, 'z_mean': {'dtype': 'float32', '_type': 'Value'}, 'model_score': {'dtype': 'float32', '_type': 'Value'}, 'doc_id': {'dtype': 'string', '_type': 'Value'}, 'nmt_output': {'dtype': 'string', '_type': 'Value'}, 'word_probas': {'feature': {'dtype': 'float32', '_type': 'Value'}, '_type': 'Sequence'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "segid": 0,
      "translation": {
        "de": "1934 besuchte Jos\u00e9 Ortega y Gasset Husserl in Freiburg.",
        "en": "Jos\u00e9 Ortega y Gasset visited Husserl at Freiburg in 1934."
      },
      "scores": [
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      "mean": 100.0,
      "z_scores": [
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      "z_mean": 1.1194086074829102,
      "model_score": -0.10244649648666382,
      "doc_id": "Edmund Husserl",
      "nmt_output": "1934 besuchte Jos\u00e9 Ort@@ ega y G@@ asset Hus@@ ser@@ l in Freiburg .",
      "word_probas": [
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  {
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    "row": {
      "segid": 1,
      "translation": {
        "de": "Eine entt\u00e4uschende Neunte in China bedeutete jedoch, dass er in der Gesamtwertung auf den sechsten Platz zur\u00fcckfiel.",
        "en": "However, a disappointing ninth in China meant that he dropped back to sixth in the standings."
      },
      "scores": [
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      "mean": 72.66666412353516,
      "z_scores": [
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      "z_mean": -0.488590806722641,
      "model_score": -0.43104609847068787,
      "doc_id": "Felipe Massa",
      "nmt_output": "Eine entt\u00e4u@@ sch@@ ende Ne@@ un@@ te in China bedeutete jedoch , dass er in der Gesamt@@ wertung auf den sechsten Platz zur\u00fcck@@ fiel .",
      "word_probas": [
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], DATASET_NAME: "Paul/hatecheck-dutch"
FEATURES: {'mhc_case_id': {'dtype': 'string', '_type': 'Value'}, 'functionality': {'dtype': 'string', '_type': 'Value'}, 'test_case': {'dtype': 'string', '_type': 'Value'}, 'label_gold': {'dtype': 'string', '_type': 'Value'}, 'target_ident': {'dtype': 'string', '_type': 'Value'}, 'ref_case_id': {'dtype': 'float64', '_type': 'Value'}, 'ref_templ_id': {'dtype': 'float64', '_type': 'Value'}, 'templ_id': {'dtype': 'int64', '_type': 'Value'}, 'case_templ': {'dtype': 'string', '_type': 'Value'}, 'label_annotated': {'dtype': 'string', '_type': 'Value'}, 'label_annotated_maj': {'dtype': 'string', '_type': 'Value'}, 'disagreement_in_case': {'dtype': 'bool', '_type': 'Value'}, 'disagreement_in_template': {'dtype': 'bool', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "mhc_case_id": "dutch-1",
      "functionality": "derog_neg_emote_h",
      "test_case": "Ik haat vrouwen.",
      "label_gold": "hateful",
      "target_ident": "women",
      "ref_case_id": null,
      "ref_templ_id": null,
      "templ_id": 1,
      "case_templ": "Ik haat [IDENT_P].",
      "label_annotated": "['hateful', 'hateful', 'hateful']",
      "label_annotated_maj": "hateful",
      "disagreement_in_case": false,
      "disagreement_in_template": false
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "mhc_case_id": "dutch-2",
      "functionality": "derog_neg_emote_h",
      "test_case": "Ik haat transgenders.",
      "label_gold": "hateful",
      "target_ident": "trans people",
      "ref_case_id": null,
      "ref_templ_id": null,
      "templ_id": 1,
      "case_templ": "Ik haat [IDENT_P].",
      "label_annotated": "['hateful', 'hateful', 'hateful']",
      "label_annotated_maj": "hateful",
      "disagreement_in_case": false,
      "disagreement_in_template": false
    },
    "truncated_cells": []
  }
], DATASET_NAME: "somosnlp/somos_alpaca_validation_agreement"
FEATURES: {'id': {'dtype': 'string', '_type': 'Value'}, 'annotation': {'dtype': 'string', '_type': 'Value'}, 'count': {'dtype': 'int64', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "id": "0000460f-f529-441c-a243-12f65fa2ba5d",
      "annotation": "ALL GOOD",
      "count": 9
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    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "id": "00010713-2cd1-444b-8ab8-119bb570c2dc",
      "annotation": "ALL GOOD",
      "count": 1
    },
    "truncated_cells": []
  }
], source_sentence: indic language wikipedia dataset
sentences: DATASET_NAME: "soketlabs/bhasha-wiki-indic"
FEATURES: {'id': {'dtype': 'string', '_type': 'Value'}, 'url': {'dtype': 'string', '_type': 'Value'}, 'title': {'dtype': 'string', '_type': 'Value'}, 'text': {'dtype': 'string', '_type': 'Value'}, 'sents': {'dtype': 'int32', '_type': 'Value'}, 'chars': {'dtype': 'int32', '_type': 'Value'}, 'words': {'dtype': 'int32', '_type': 'Value'}, 'tokens': {'dtype': 'int32', '_type': 'Value'}}
DATA SAMPLE:
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  {
    "row_idx": 0,
    "row": {
      "id": 63047548,
      "url": "https://en.wikipedia.org/wiki/P.%20S.%20Nataraja%20Pillai",
      "title": "P. S. Nataraja Pillai",
      "text": "\u09aa\u09bf. \u098f\u09b8. \u09a8\u099f\u09b0\u09be\u099c \u09aa\u09bf\u09b2\u09cd\u09b2\u09be\u0987 (\u09ae\u09be\u09b0\u09cd\u099a 1891-1966) \u098f\u0995\u099c\u09a8 \u09ad\u09be\u09b0\u09a4\u09c0\u09af\u09bc \u09b0\u09be\u099c\u09a8\u09c0\u09a4\u09bf\u09ac\u09bf\u09a6, \u09b8\u09cd\u09ac\u09be\u09a7\u09c0\u09a8\u09a4\u09be \u09b8\u0982\u0997\u09cd\u09b0\u09be\u09ae\u09c0 \u098f\u09ac\u0982 1962 \u09b8\u09be\u09b2\u09c7 \u0985\u09a8\u09c1\u09b7\u09cd\u09a0\u09bf\u09a4 \u09a4\u09c3\u09a4\u09c0\u09af\u09bc \u09b2\u09cb\u0995\u09b8\u09ad\u09be \u09a8\u09bf\u09b0\u09cd\u09ac\u09be\u099a\u09a8\u09c7\u09b0 \u09b8\u09ae\u09af\u09bc \u09b8\u0982\u09b8\u09a6 \u09b8\u09a6\u09b8\u09cd\u09af \u099b\u09bf\u09b2\u09c7\u09a8\u0964 \u09a4\u09bf\u09a8\u09bf 1948 \u09b8\u09be\u09b2\u09c7 \u09a6\u09bf\u09b2\u09cd\u09b2\u09bf\u09a4\u09c7 \u09a4\u09cd\u09b0\u09bf\u09ac\u09be\u0999\u09cd\u0995\u09c1\u09b0 \u09b8\u09b0\u0995\u09be\u09b0\u09c7\u09b0 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      "sents": 16,
      "chars": 2057,
      "words": 300,
      "tokens": 835
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "id": 63048490,
      "url": "https://en.wikipedia.org/wiki/Ganga%20Singh%20College",
      "title": "Ganga Singh College",
      "text": "\u0997\u0999\u09cd\u0997\u09be \u09b8\u09bf\u0982 \u0995\u09b2\u09c7\u099c \u09ac\u09bf\u09b9\u09be\u09b0\u09c7\u09b0 \u099b\u09aa\u09b0\u09be\u09af\u09bc \u0985\u09ac\u09b8\u09cd\u09a5\u09bf\u09a4 \u098f\u0995\u099f\u09bf \u09a1\u09bf\u0997\u09cd\u09b0\u09bf \u0995\u09b2\u09c7\u099c\u0964 \u098f\u099f\u09bf \u099c\u09af\u09bc \u09aa\u09cd\u09b0\u0995\u09be\u09b6 \u09ac\u09bf\u09b6\u09cd\u09ac\u09ac\u09bf\u09a6\u09cd\u09af\u09be\u09b2\u09af\u09bc\u09c7\u09b0 \u098f\u0995\u099f\u09bf \u0985\u0982\u09b6\u0964 \u0995\u09b2\u09c7\u099c\u099f\u09bf \u0995\u09b2\u09be \u0993 \u09ac\u09bf\u099c\u09cd\u099e\u09be\u09a8\u09c7 \u0987\u09a8\u09cd\u099f\u09be\u09b0\u09ae\u09bf\u09a1\u09bf\u09af\u09bc\u09c7\u099f \u098f\u09ac\u0982 \u09a4\u09bf\u09a8 \u09ac\u099b\u09b0\u09c7\u09b0 \u09a1\u09bf\u0997\u09cd\u09b0\u09bf \u0995\u09cb\u09b0\u09cd\u09b8 (\u099f\u09bf\u09a1\u09bf\u09b8\u09bf) \u09aa\u09cd\u09b0\u09a6\u09be\u09a8 \u0995\u09b0\u09c7\u0964 1966 \u09b8\u09be\u09b2\u09c7 \u0987\u09a4\u09bf\u09b9\u09be\u09b8 \u0995\u09b2\u09c7\u099c \u09aa\u09cd\u09b0\u09a4\u09bf\u09b7\u09cd\u09a0\u09bf\u09a4 \u09b9\u09af\u09bc\u0964 \u09ac\u09bf\u09ad\u09be\u0997 \u0995\u09b2\u09be \u09b9\u09bf\u09a8\u09cd\u09a6\u09bf \u0989\u09b0\u09cd\u09a6\u09c1 \u09a6\u09b0\u09cd\u09b6\u09a8 \u0985\u09b0\u09cd\u09a5\u09a8\u09c0\u09a4\u09bf \u0987\u0982\u09b0\u09c7\u099c\u09bf \u09b0\u09be\u09b7\u09cd\u099f\u09cd\u09b0\u09ac\u09bf\u099c\u09cd\u099e\u09be\u09a8 \u0987\u09a4\u09bf\u09b9\u09be\u09b8 \u09ae\u09a8\u09cb\u09ac\u09bf\u099c\u09cd\u099e\u09be\u09a8 \u09ac\u09bf\u099c\u09cd\u099e\u09be\u09a8 \u0997\u09a3\u09bf\u09a4 \u09aa\u09a6\u09be\u09b0\u09cd\u09a5\u09ac\u09bf\u099c\u09cd\u099e\u09be\u09a8 \u09b0\u09b8\u09be\u09af\u09bc\u09a8 \u09aa\u09cd\u09b0\u09be\u09a3\u09bf\u09ac\u09bf\u09a6\u09cd\u09af\u09be",
      "sents": 5,
      "chars": 345,
      "words": 49,
      "tokens": 143
    },
    "truncated_cells": []
  }
], DATASET_NAME: "community-datasets/wiki_snippets"
FEATURES: {'_id': {'dtype': 'string', '_type': 'Value'}, 'datasets_id': {'dtype': 'int32', '_type': 'Value'}, 'wiki_id': {'dtype': 'string', '_type': 'Value'}, 'start_paragraph': {'dtype': 'int32', '_type': 'Value'}, 'start_character': {'dtype': 'int32', '_type': 'Value'}, 'end_paragraph': {'dtype': 'int32', '_type': 'Value'}, 'end_character': {'dtype': 'int32', '_type': 'Value'}, 'article_title': {'dtype': 'string', '_type': 'Value'}, 'section_title': {'dtype': 'string', '_type': 'Value'}, 'passage_text': {'dtype': 'string', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "_id": "{\"datasets_id\": 0, \"wiki_id\": \"Q1294448\", \"sp\": 2, \"sc\": 0, \"ep\": 6, \"ec\": 610}",
      "datasets_id": 0,
      "wiki_id": "Q1294448",
      "start_paragraph": 2,
      "start_character": 0,
      "end_paragraph": 6,
      "end_character": 610,
      "article_title": "\u00c1gi Szal\u00f3ki",
      "section_title": "Life",
      "passage_text": "\u00c1gi Szal\u00f3ki Life She started singing as a toddler, considering M\u00e1rta Sebesty\u00e9n a role model. Her musical background is traditional folk music; she first won recognition for singing with \u00d6kr\u00f6s in a traditional folk style, and Besh o droM, a Balkan gypsy brass band. With these ensembles she toured around the world from the Montreal Jazz Festival, through Glastonbury Festival to the Th\u00e9atre de la Ville in Paris, from New York to Beijing.\nSince 2005, she began to pursue her solo career and explore various genres, such as jazz, thirties ballads, or children's songs.\nUntil now, three of her six released albums"
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "_id": "{\"datasets_id\": 0, \"wiki_id\": \"Q1294448\", \"sp\": 6, \"sc\": 610, \"ep\": 6, \"ec\": 1198}",
      "datasets_id": 0,
      "wiki_id": "Q1294448",
      "start_paragraph": 6,
      "start_character": 610,
      "end_paragraph": 6,
      "end_character": 1198,
      "article_title": "\u00c1gi Szal\u00f3ki",
      "section_title": "Life",
      "passage_text": "were awarded Album of the Year Prize (MAHASZ Fonogram Award) in the children's records and jazz categories.\n\"When I sing it's not important whether it's jazz or traditional music or music of any other kind\", Szal\u00f3ki has said. \"I feel as if I'm swimming in the music. The music is like water; or air and I fly in it.\"\nShe is trained in the Kod\u00e1ly method. Many of her projects are inspired by poetry, be it \"Sunset of Rust, It is Dusk\" on Lament (2005), or the Kar\u00e1dy album of ballads (A V\u00e1gy Muzsik\u00e1l, 2008).\nShe has also performed at numerous children's concerts."
    },
    "truncated_cells": []
  }
], DATASET_NAME: "Shiveswarran/llm_instruction_code_V6.1"
FEATURES: {'Unnamed: 0': {'dtype': 'int64', '_type': 'Value'}, 'instruction': {'dtype': 'string', '_type': 'Value'}, 'code': {'dtype': 'string', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "Unnamed: 0": 0,
      "instruction": "Write me Python code is a program to read, parse, and display thermal data from the Topdon TC001 Thermal camera. It includes detailed information about the program, such as its author, date of creation, and purpose. The code also includes a list of key bindings for controlling the program, such as increasing/decreasing blur, changing the interpolated scale, and toggling the HUD. The code also includes a function to detect if the program is running on a Raspberry Pi, as OpenCV behaves differently on different builds. The code then initializes the video capture device and sets the appropriate properties, such as not converting the video to RGB to preserve the temperature data. The code then sets the initial values for various parameters, such as the window size, scale, and contrast. It also creates a named window for displaying the thermal data and sets up the font and color map for the display. The main loop of the program then begins, which includes code for reading the frames from the video capture device, parsing the thermal data, and displaying the data on the screen. The code also includes code for handling key presses, such as changing the blur radius, contrast, and color map, and for recording and taking snapshots of the thermal data.",
      "code": "#!/usr/bin/env python3\\n'''\\nLes Wright 21 June 2023\\nhttps://youtube.com/leslaboratory\\nA Python program to read, parse and display thermal data from the Topdon TC001 Thermal camera!\\n'''\\nprint('Les Wright 21 June 2023')\\nprint('https://youtube.com/leslaboratory')\\nprint('A Python program to read, parse and display thermal data from the Topdon TC001 Thermal camera!')\\nprint('')\\nprint('Tested on Debian all features are working correctly')\\nprint('This will work on the Pi However a number of workarounds are implemented!')\\nprint('Seemingly there are bugs in the compiled version of cv2 that ships with the Pi!')\\nprint('')\\nprint('Key Bindings:')\\nprint('')\\nprint('a z: Increase/Decrease Blur')\\nprint('s x: Floating High and Low Temp Label Threshold')\\nprint('d c: Change Interpolated scale Note: This will not change the window size on the Pi')\\nprint('f v: Contrast')\\nprint('q w: Fullscreen Windowed (note going back to windowed does not seem to work on the Pi!)')\\nprint('r t: Record and Stop')\\nprint('p : Snapshot')\\nprint('m : Cycle through ColorMaps')\\nprint('h : Toggle HUD')\\n\\nimport cv2\\nimport numpy as np\\nimport argparse\\nimport time\\nimport io\\n\\n#We need to know if we are running on the Pi, because openCV behaves a little oddly on all the builds!\\n#https://raspberrypi.stackexchange.com/questions/5100/detect-that-a-python-program-is-running-on-the-pi\\ndef is_raspberrypi():\\n    try:\\n        with io.open('/sys/firmware/devicetree/base/model', 'r') as m:\\n            if 'raspberry pi' in m.read().lower(): return True\\n    except Exception: pass\\n    return False\\n\\nisPi = is_raspberrypi()\\n\\nparser = argparse.ArgumentParser()\\nparser.add_argument(\\\"--device\\\", type=int, default=0, help=\\\"Video Device number e.g. 0, use v4l2-ctl --list-devices\\\")\\nargs = parser.parse_args()\\n\\t\\nif args.device:\\n\\tdev = args.device\\nelse:\\n\\tdev = 0\\n\\t\\n#init video\\ncap = cv2.VideoCapture('/dev/video'+str(dev), cv2.CAP_V4L)\\n#cap = cv2.VideoCapture(0)\\n#pull in the video but do NOT automatically convert to RGB, else it breaks the temperature data!\\n#https://stackoverflow.com/questions/63108721/opencv-setting-videocap-property-to-cap-prop-convert-rgb-generates-weird-boolean\\nif isPi == True:\\n\\tcap.set(cv2.CAP_PROP_CONVERT_RGB, 0.0)\\nelse:\\n\\tcap.set(cv2.CAP_PROP_CONVERT_RGB, False)\\n\\n#256x192 General settings\\nwidth = 256 #Sensor width\\nheight = 192 #sensor height\\nscale = 3 #scale multiplier\\nnewWidth = width*scale \\nnewHeight = height*scale\\nalpha = 1.0 # Contrast control (1.0-3.0)\\ncolormap = 0\\nfont=cv2.FONT_HERSHEY_SIMPLEX\\ndispFullscreen = False\\ncv2.namedWindow('Thermal',cv2.WINDOW_GUI_NORMAL)\\ncv2.resizeWindow('Thermal', newWidth,newHeight)\\nrad = 0 #blur radius\\nthreshold = 2\\nhud = True\\nrecording = False\\nelapsed = \\\"00:00:00\\\"\\nsnaptime = \\\"None\\\"\\n\\n"
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "Unnamed: 0": 1,
      "instruction": "Write me Python code defines a function called `rec()` that creates a video writer object. The video writer object is used to write video frames to a file. The function takes no arguments and returns a video writer object. The first line of the function gets the current time in the format `YYYYMMDD--HHMMSS`. This time is used to create a unique file name for the output video file. The second line of the function creates a video writer object. The video writer object is created using the `cv2.VideoWriter()` function. The `cv2.VideoWriter()` function takes four arguments: * The first argument is the name of the output video file. * The second argument is the fourcc code of the video codec to be used. The fourcc code is a four-character code that identifies the video codec. In this case, the `XVID` codec is used. * The third argument is the frame rate of the output video. The frame rate is the number of frames per second that the video will be played back at. In this case, the frame rate is set to 25 frames per second. * The fourth argument is the size of the output video frames. The size of the output video frames is specified as a tuple of two integers. The first integer is the width of the output video frames, and the second integer is the height of the output video frames. In this case, the output video frames will be 640 pixels wide and 480 pixels high. The third line of the function returns the video writer object.",
      "code": "def rec():\\n\\tnow = time.strftime(\\\"%Y%m%d--%H%M%S\\\")\\n\\t#do NOT use mp4 here, it is flakey!\\n\\tvideoOut = cv2.VideoWriter(now+'output.avi', cv2.VideoWriter_fourcc(*'XVID'),25, (newWidth,newHeight))\\n\\treturn(videoOut)\\n\\n"
    },
    "truncated_cells": []
  }
], source_sentence: optimum library dependents dataset
sentences: DATASET_NAME: "open-source-metrics/optimum-dependents"
FEATURES: {'name': {'dtype': 'string', '_type': 'Value'}, 'stars': {'dtype': 'int64', '_type': 'Value'}, 'forks': {'dtype': 'int64', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "name": "deepchecks/deepchecks",
      "stars": 2550,
      "forks": 183
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "name": "huggingface/optimum-neuron",
      "stars": 33,
      "forks": 2
    },
    "truncated_cells": []
  }
], DATASET_NAME: "ngocuong/Ghepmat"
FEATURES: {'text': {'dtype': 'string', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "text": "The model file required is \"inswapper_128.onnx\".Mirrors are given the roop project [installation guide](https://github.com/s0md3v/roop/wiki/1.-Installation)."
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "text": "insightface==0.7.3"
    },
    "truncated_cells": []
  }
], DATASET_NAME: "wangrongsheng/GenMedGPT-5k-en"
FEATURES: {'input': {'dtype': 'string', '_type': 'Value'}, 'instruction': {'dtype': 'string', '_type': 'Value'}, 'output': {'dtype': 'string', '_type': 'Value'}}
DATA SAMPLE:
[
  {
    "row_idx": 0,
    "row": {
      "input": "Doctor, I have been experiencing sudden and frequent panic attacks. I don't know what to do.",
      "instruction": "If you are a doctor, please answer the medical questions based on the patient's description.",
      "output": "Well, based on what you're telling me, it sounds like you may be suffering from panic disorder. The best course of action is to start with psychotherapy and mental health counseling. Additionally, we should conduct an electrocardiogram to make sure that there are no physical issues causing your panic attacks. We will also need to perform a depression screen and a toxicology screen to rule out any other underlying causes. Finally, I would recommend a comprehensive psychological and psychiatric evaluation and therapy to help manage your symptoms."
    },
    "truncated_cells": []
  },
  {
    "row_idx": 1,
    "row": {
      "input": "Doctor, I have been experiencing a hoarse voice for a few weeks now and it's not getting any better despite taking medication. What could be the problem?",
      "instruction": "If you are a doctor, please answer the medical questions based on the patient's description.",
      "output": "It's possible that you have a vocal cord polyp. To confirm this, we need to conduct tracheoscopy and laryngoscopy with a biopsy. We may also need to conduct an occupational therapy assessment such as speech therapy, other diagnostic procedures like an interview or consultation, physical therapy exercises, as well as diagnostic procedures on your nose, mouth, and pharynx to rule out any other underlying conditions. Additionally, we may need to evaluate your eyes and ears for any related conditions, such as ophthalmologic and otologic diagnosis and treatment."
    },
    "truncated_cells": []
  }
]
Likes: 0 | All-time downloads: 143
Created: 2024-09-18 09:36:18