Table:
Table: Ordered by number of native speakers

Language

2001 census[1]
(total population 1,004.59 million)

1991 censusIndian Census [2]
(total population 838.14 million)

Speakers
Speakers
Percentage

Hindi[1]
422,048,642
337,272,114[2]
40.0%
336 M

Bengali
230,000,000
200,595,738
28.30%
320 M

Punjabi
130,000,000
100,017,615
20.87%
113 M

Telugu
70,002,856
65,595,738
8.30%
70 M

Marathi
71,936,894
62,481,681
7.45%
68.0 M

Tamil
60,793,814
53,006,368
6.32%
66.0 M

Urdu
51,536,111
43,406,932
5.18%
60.3 M

Gujarati
46,091,617
40,673,814
4.85%
46.1 M

Kannada
37,924,011
32,753,676
3.91%
40.3 M

Malayalam
33,066,392
30,377,176
3.62%
35.7 M

Oriya
33,017,446
28,061,313
3.35%
32.3 M

Sindhi
25,535,485
25,122,848
0.248%
32.3 M

Nepali
23,017,446
28,061,313
3.35%
32.3 M

Sinhalese
19,017,446
28,061,313
3.35%
32.3 M

Assamese
13,168,484
13,079,696
1.56%
15.4 M

Maithili[3]
12,179,122
1.18%

Bhili/Bhilodi
9,582,957
5,572,308
0.665%

Santali
6,469,600
5,216,325
0.622%

Kashmiri
5,527,698
0.54%

Gondi
2,713,790
2,124,852
0.253%

Konkani
2,489,015
1,760,607
0.210%

Dogri
2,282,589[dubious – discuss][4]
0.22%

Khandeshi
2,075,258
0.21%

Kurukh
1,751,489
0.17%
1,426,618
0.170%

Tulu
1,722,768
0.17%
1,552,259
0.185%

Meitei (Manipuri)
1,466,705*
0.14%
1,270,216
0.151%

Bodo
1,350,478
0.13%
1,221,881
0.146%

Khasi
1,128,575
0.112%

Mundari
1,061,352
0.105%

Ho
1,042,724
0.103%

Analyze the provided table and extract the contents of specified rows, identified by row indices. Represent the cells in a row with the JSON format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}. For instance, {"row_id":"5", "cell_list": ["152", "UN", "one last kiss"]}.
Target rows:
the 26th row
the 18th row
the 21th row
the 6th row

The cell values of target rows are as follows:
For the 26th row: {"row_id": "26", "cell_list": ['Kurukh', '1,751,489', '0.17%', '1,426,618', '0.170%']}
For the 18th row: {"row_id": "18", "cell_list": ['Maithili', '12,179,122', '1.18%', '', '']}
For the 21th row: {"row_id": "21", "cell_list": ['Kashmiri', '5,527,698', '0.54%', '', '']}
For the 6th row: {"row_id": "6", "cell_list": ['Telugu', '70,002,856', '65,595,738', '8.30%', '70 M']}