luulinh90s/Tabular-LLM-Study-Debugging

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> joliette has 0.771 square miles of water , and can be found with geo id 3806741020</h3>24<h3>Input Table: list of townships in north dakota</h3>25<div class="step">26<div class="step">27<div class="step-title">Step 1: Select rows where 'township' is 'joliette'.</div>28<div id="step-1" class="content">29<table>30<tr>31<td>township</td>32<td>county</td>33<td>pop__2010_</td>34<td>land___sqmi__</td>35<td>water__sqmi_</td>36<td>latitude</td>37<td>longitude</td>38<td>geo_id</td>39<td>ansi_code</td>40</tr>41<tr>42<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">jackson</span></td>43<td>sargent</td>44<td>33</td>45<td>35.809</td>46<td>0.0</td>47<td>46.066276</td>48<td>- 97.945530</td>49<td>3808140460</td>50<td>1036797</td>51</tr>52<tr>53<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">james hill</span></td>54<td>mountrail</td>55<td>32</td>56<td>31.82</td>57<td>4.243</td>58<td>48.423125</td>59<td>- 102.429934</td>60<td>3806140500</td>61<td>1037048</td>62</tr>63<tr>64<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">james river valley</span></td>65<td>dickey</td>66<td>40</td>67<td>28.597</td>68<td>0.0</td>69<td>46.246641</td>70<td>- 98.188329</td>71<td>3802140540</td>72<td>1036767</td>73</tr>74<tr>75<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">janke</span></td>76<td>logan</td>77<td>28</td>78<td>35.995</td>79<td>0.163</td>80<td>46.415512</td>81<td>- 99.131701</td>82<td>3804740620</td>83<td>1037193</td>84</tr>85<tr>86<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">jefferson</span></td>87<td>pierce</td>88<td>45</td>89<td>35.069</td>90<td>1.125</td>91<td>48.232149</td>92<td>- 100.182370</td>93<td>3806940700</td>94<td>1759556</td>95</tr>96<tr>97<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">jim river valley</span></td>98<td>stutsman</td>99<td>38</td>100<td>34.134</td>101<td>1.746</td>102<td>47.112388</td>103<td>- 98.778478</td>104<td>3809340780</td>105<td>1036484</td>106</tr>107<tr>108<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">johnson</span></td>109<td>wells</td>110<td>36</td>111<td>35.299</td>112<td>0.908</td>113<td>47.377745</td>114<td>- 99.458677</td>115<td>3810340820</td>116<td>1037137</td>117</tr>118<tr>119<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">johnstown</span></td>120<td>grand forks</td>121<td>79</td>122<td>36.199</td>123<td>0.0</td>124<td>48.151362</td>125<td>- 97.449033</td>126<td>3803540940</td>127<td>1036624</td>128</tr>129<tr>130<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">joliette</span></td>131<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">pembina</span></td>132<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">67</span></td>133<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">70.044</span></td>134<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">0.771</span></td>135<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">48.796545</span></td>136<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">- 97.217227</span></td>137<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">3806741020</span></td>138<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">1036723</span></td>139</tr>140</table>141</div>142<hr>143<div class="step">144<div class="step-title">Step 2: Select rows where 'water__sqmi_' is 0.771.</div>145<div id="step-0" class="content">146<table>147<tr>148<td>township</td>149<td>county</td>150<td>pop__2010_</td>151<td>land___sqmi__</td>152<td>water__sqmi_</td>153<td>latitude</td>154<td>longitude</td>155<td>geo_id</td>156<td>ansi_code</td>157</tr>158<tr>159<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">joliette</span></td>160<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">pembina</span></td>161<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">67</span></td>162<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">70.044</span></td>163<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">0.771</span></td>164<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">48.796545</span></td>165<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">- 97.217227</span></td>166<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">3806741020</span></td>167<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">1036723</span></td>168</tr>169</table>170</div>171</div>172<hr>173<div class="step">174<div class="step-title">Step 3: Select rows where 'geo_id' is 3806741020.</div>175<div id="step-1" class="content">176<table>177<tr>178<td>township</td>179<td>county</td>180<td>pop__2010_</td>181<td>land___sqmi__</td>182<td>water__sqmi_</td>183<td>latitude</td>184<td>longitude</td>185<td>geo_id</td>186<td>ansi_code</td>187</tr>188<tr>189<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">joliette</span></td>190<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">pembina</span></td>191<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">67</span></td>192<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">70.044</span></td>193<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">0.771</span></td>194<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">48.796545</span></td>195<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">- 97.217227</span></td>196<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">3806741020</span></td>197<td><span class="highlighted-cell" title="Used in transformation" style="background-color:yellow;">1036723</span></td>198</tr>199</table>200</div>201</div>202<hr>203<div class="step">204<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>205<div id="step-2" class="content">206<table>207<tr>208<td>township</td>209<td>county</td>210<td>pop__2010_</td>211<td>land___sqmi__</td>212<td>water__sqmi_</td>213<td>latitude</td>214<td>longitude</td>215<td>geo_id</td>216<td>ansi_code</td>217</tr>218<tr>219<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">joliette</span></td>220<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">pembina</span></td>221<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">67</span></td>222<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">70.044</span></td>223<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">0.771</span></td>224<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">48.796545</span></td>225<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">- 97.217227</span></td>226<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">3806741020</span></td>227<td><span class="highlighted-cell" title="Used in transformation" style="background-color:#90EE90;">1036723</span></td>228</tr>229</table>230</div>231</div>232<hr>233<table>234<tr>235<td>verification_result</td>236</tr>237<tr>238<td>TRUE</td>239</tr>240</table>241</div>242</div>243<hr>244<h3>Prediction:</span> TRUE</h3>245</body></html>246