luulinh90s/Tabular-LLM-Study-Preference-Ranking

1<html><head>2<style>3body { font-family: Arial, sans-serif; margin: 20px; }4h1 { text-align: center; }5.cot-title { color: blue; }6.pos-title { color: green; }7h2 { color: black; text-align: left; }8h3 { color: black; text-align: left; }9h4 { color: darkslategray; }10table { width: 100%; border-collapse: collapse; margin: 20px 0; }11table, th, td { border: 1px solid #ddd; padding: 8px; }12th { background-color: #f2f2f2; }13tr:nth-child(even) { background-color: #f9f9f9; }14.highlight { background-color: #ffffcc; }15.true { color: green; }16.false { color: red; }17.highlighted-cell { background-color: yellow; cursor: pointer; }18.step-title { background-color: #f1f1f1; color: #444; padding: 10px; margin: 10px 0; font-size: 18px; border-left: 4px solid #888; }19.step { display: block; }20</style>21</head><body>22<hr>23<h3><span>Statement:</span> from 1965 - 1970 , there were 998000 deaths per year and 3330000 live births per year</h3>24<h3>Input Table: none</h3>25<div class="step">26<div class="step">27<div class="step-title">Step 1: Select rows where the 'period' is from '1965-01-01' to '1970-01-01'.</div>28<div id="step-1" class="content">29<table>30<tr>31<td>period</td>32<td>live_births_per_year</td>33<td>deaths_per_year</td>34<td>natural_change_per_year</td>35<td>cbr</td>36<td>cdr</td>37<td>nc</td>38<td>tfr</td>39<td>imr</td>40<td>life_expectancy_total</td>41<td>life_expectancy_males</td>42<td>life_expectancy_females</td>43</tr>44<tr>45<td>1950-01-01 - 1955-01-01</td>46<td>2 572 000</td>47<td>900 000</td>48<td>1 672 000</td>49<td>44.1</td>50<td>15.5</td>51<td>28.6</td>52<td>6.15</td>53<td>135</td>54<td>50.9</td>55<td>49.2</td>56<td>52.6</td>57</tr>58<tr>59<td>1955-01-01 - 1960-01-01</td>60<td>2 918 000</td>61<td>947 000</td>62<td>1 971 000</td>63<td>43.2</td>64<td>14.0</td>65<td>29.1</td>66<td>6.15</td>67<td>122</td>68<td>53.3</td>69<td>51.5</td>70<td>55.2</td>71</tr>72<tr>73<td>1960-01-01 - 1965-01-01</td>74<td>3 303 000</td>75<td>986 000</td>76<td>2 317 000</td>77<td>42.2</td>78<td>12.6</td>79<td>29.6</td>80<td>6.15</td>81<td>109</td>82<td>55.7</td>83<td>53.8</td>84<td>57.6</td>85</tr>86<tr>87<td>9999-01-01 - 1970-01-01</td>88<td>3 330 000</td>89<td>998 000</td>90<td>2 332 000</td>91<td>37.0</td>92<td>11.1</td>93<td>25.9</td>94<td>5.38</td>95<td>100</td>96<td>57.6</td>97<td>55.7</td>98<td>59.6</td>99</tr>100<tr>101<td>1970-01-01 - 1975-01-01</td>102<td>3 441 000</td>103<td>1 014 000</td>104<td>2 427 000</td>105<td>33.7</td>106<td>9.9</td>107<td>23.8</td>108<td>4.72</td>109<td>91</td>110<td>59.5</td>111<td>57.3</td>112<td>61.8</td>113</tr>114<tr>115<td>1975-01-01 - 1980-01-01</td>116<td>3 741 000</td>117<td>1 043 000</td>118<td>2 698 000</td>119<td>32.5</td>120<td>9.0</td>121<td>23.5</td>122<td>4.31</td>123<td>79</td>124<td>61.5</td>125<td>59.2</td>126<td>63.9</td>127</tr>128<tr>129<td>1980-01-01 - 1985-01-01</td>130<td>3 974 000</td>131<td>1 064 000</td>132<td>2 910 000</td>133<td>30.8</td>134<td>8.2</td>135<td>22.6</td>136<td>3.8</td>137<td>63</td>138<td>63.4</td>139<td>60.4</td>140<td>66.8</td>141</tr>142<tr>143<td>1985-01-01 - 1990-01-01</td>144<td>3 757 000</td>145<td>1 055 000</td>146<td>2 702 000</td>147<td>26.3</td>148<td>7.4</td>149<td>18.9</td>150<td>3.1</td>151<td>52</td>152<td>65.3</td>153<td>61.9</td>154<td>69.1</td>155</tr>156<tr>157<td>1990-01-01 - 1995-01-01</td>158<td>3 519 000</td>159<td>1 058 000</td>160<td>2 461 000</td>161<td>22.6</td>162<td>6.8</td>163<td>15.8</td>164<td>2.6</td>165<td>43</td>166<td>67.3</td>167<td>63.6</td>168<td>71.2</td>169</tr>170<tr>171<td>1995-01-01 - 2000-01-01</td>172<td>3 624 000</td>173<td>1 086 000</td>174<td>2 538 000</td>175<td>21.5</td>176<td>6.5</td>177<td>15.1</td>178<td>2.45</td>179<td>34</td>180<td>69.3</td>181<td>65.5</td>182<td>73.3</td>183</tr>184<tr>185<td>2000-01-01 - 2005-01-01</td>186<td>3 572 000</td>187<td>1 147 000</td>188<td>2 425 000</td>189<td>19.8</td>190<td>6.4</td>191<td>13.4</td>192<td>2.25</td>193<td>27</td>194<td>70.9</td>195<td>67.2</td>196<td>74.8</td>197</tr>198</table>199</div>200<hr>201<div class="step">202<div class="step-title">Step 2: Select rows where the 'deaths_per_year' is equal to 998000.</div>203<div id="step-0" class="content">204<table>205<tr>206<td>period</td>207<td>live_births_per_year</td>208<td>deaths_per_year</td>209<td>natural_change_per_year</td>210<td>cbr</td>211<td>cdr</td>212<td>nc</td>213<td>tfr</td>214<td>imr</td>215<td>life_expectancy_total</td>216<td>life_expectancy_males</td>217<td>life_expectancy_females</td>218</tr>219</table>220</div>221</div>222<hr>223<div class="step">224<div class="step-title">Step 3: Select rows where the 'live_births_per_year' is equal to 3330000.</div>225<div id="step-1" class="content">226<table>227<tr>228<td>period</td>229<td>live_births_per_year</td>230<td>deaths_per_year</td>231<td>natural_change_per_year</td>232<td>cbr</td>233<td>cdr</td>234<td>nc</td>235<td>tfr</td>236<td>imr</td>237<td>life_expectancy_total</td>238<td>life_expectancy_males</td>239<td>life_expectancy_females</td>240</tr>241</table>242</div>243</div>244<hr>245<div class="step">246<div class="step-title">Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.</div>247<div id="step-2" class="content">248<table>249<tr>250<td>period</td>251<td>live_births_per_year</td>252<td>deaths_per_year</td>253<td>natural_change_per_year</td>254<td>cbr</td>255<td>cdr</td>256<td>nc</td>257<td>tfr</td>258<td>imr</td>259<td>life_expectancy_total</td>260<td>life_expectancy_males</td>261<td>life_expectancy_females</td>262</tr>263</table>264</div>265</div>266<hr>267<table>268<tr>269<td>verification_result</td>270</tr>271<tr>272<td>FALSE</td>273</tr>274</table>275</div>276</div>277<hr>278</body></html>279