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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 7 new columns ({'seats_won', 'election_type', 'notes', 'alliance', 'party', 'year', 'seats_contested'}) and 16 missing columns ({'admk_seats', 'inc_seats', 'iuml_seats', 'total_ac', 'cpim_seats', 'cpi_seats', 'dmdk_seats', 'source', 'vck_seats', 'district', 'dmk_seats', 'pmk_seats', 'ammk_seats', 'other_seats', 'bjp_seats', 'tvk_seats'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ThinkPolitically/tamil-nadu-election-data/tn_election_party_results_2011_2026.csv (at revision 34bf6d8222cb5b4117d4f7994774567a82e8254b), ['hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_district_vote_share_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_election_party_results_2011_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_swing_constituencies_2011_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_tvk_booth_organisation_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_youth_turnout_2026.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              year: int64
              election_type: string
              party: string
              alliance: string
              seats_contested: string
              seats_won: int64
              notes: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1090
              to
              {'district': Value('string'), 'total_ac': Value('int64'), 'tvk_seats': Value('int64'), 'dmk_seats': Value('int64'), 'admk_seats': Value('int64'), 'inc_seats': Value('int64'), 'pmk_seats': Value('int64'), 'vck_seats': Value('int64'), 'cpi_seats': Value('int64'), 'cpim_seats': Value('int64'), 'iuml_seats': Value('int64'), 'bjp_seats': Value('int64'), 'dmdk_seats': Value('int64'), 'ammk_seats': Value('int64'), 'other_seats': Value('int64'), 'source': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 7 new columns ({'seats_won', 'election_type', 'notes', 'alliance', 'party', 'year', 'seats_contested'}) and 16 missing columns ({'admk_seats', 'inc_seats', 'iuml_seats', 'total_ac', 'cpim_seats', 'cpi_seats', 'dmdk_seats', 'source', 'vck_seats', 'district', 'dmk_seats', 'pmk_seats', 'ammk_seats', 'other_seats', 'bjp_seats', 'tvk_seats'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ThinkPolitically/tamil-nadu-election-data/tn_election_party_results_2011_2026.csv (at revision 34bf6d8222cb5b4117d4f7994774567a82e8254b), ['hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_district_vote_share_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_election_party_results_2011_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_swing_constituencies_2011_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_tvk_booth_organisation_2026.csv', 'hf://datasets/ThinkPolitically/tamil-nadu-election-data@34bf6d8222cb5b4117d4f7994774567a82e8254b/tn_youth_turnout_2026.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

district
string
total_ac
int64
tvk_seats
int64
dmk_seats
int64
admk_seats
int64
inc_seats
int64
pmk_seats
int64
vck_seats
int64
cpi_seats
int64
cpim_seats
int64
iuml_seats
int64
bjp_seats
int64
dmdk_seats
int64
ammk_seats
int64
other_seats
int64
source
string
Ariyalur
2
0
0
1
0
1
0
0
0
0
0
0
0
0
tnelections2026.in
Chengalpattu
7
5
0
2
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Chennai
16
14
2
0
0
0
0
0
0
0
0
0
0
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tnelections2026.in
Coimbatore
10
6
3
1
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0
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Cuddalore
9
1
3
3
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0
0
1
0
0
tnelections2026.in
Dharmapuri
5
1
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3
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tnelections2026.in
Dindigul
7
1
4
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tnelections2026.in
Erode
8
5
0
3
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0
0
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tnelections2026.in
Kallakurichi
4
1
2
1
0
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0
0
0
0
0
0
tnelections2026.in
Kancheepuram
4
4
0
0
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Kanniyakumari
6
0
1
1
3
0
0
0
1
0
0
0
0
0
tnelections2026.in
Karur
4
1
2
1
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Krishnagiri
6
2
1
2
0
0
0
1
0
0
0
0
0
0
tnelections2026.in
Madurai
10
8
1
0
1
0
0
0
0
0
0
0
0
0
tnelections2026.in
Mayiladuthurai
3
0
2
0
1
0
0
0
0
0
0
0
0
0
tnelections2026.in
Nagapattinam
3
0
1
1
0
0
0
0
1
0
0
0
0
0
tnelections2026.in
Namakkal
6
5
0
1
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Perambalur
2
1
1
0
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Pudukkottai
6
2
3
1
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Ramanathapuram
4
1
3
0
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Ranipet
4
3
0
1
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Salem
11
4
0
7
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Sivaganga
4
4
0
0
0
0
0
0
0
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tnelections2026.in
Tenkasi
5
0
4
1
0
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tnelections2026.in
Thanjavur
8
2
5
0
0
0
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0
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1
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0
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0
tnelections2026.in
The Nilgiris
3
0
2
0
0
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1
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Theni
4
2
2
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Thiruvallur
10
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tnelections2026.in
Thiruvarur
4
0
1
1
0
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1
0
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0
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1
0
tnelections2026.in
Thoothukudi
6
3
3
0
0
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0
0
0
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0
0
0
0
tnelections2026.in
Tiruchirappalli
9
6
2
1
0
0
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0
0
0
0
0
0
0
tnelections2026.in
Tirunelveli
5
3
1
1
0
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0
0
0
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0
0
0
0
tnelections2026.in
Tirupathur
4
1
1
1
0
0
0
0
0
1
0
0
0
0
tnelections2026.in
Tiruppur
8
4
2
2
0
0
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0
0
0
0
0
0
tnelections2026.in
Tiruvannamalai
8
1
2
5
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Vellore
5
4
0
1
0
0
0
0
0
0
0
0
0
0
tnelections2026.in
Viluppuram
7
0
2
2
0
2
1
0
0
0
0
0
0
0
tnelections2026.in
Virudhunagar
7
4
3
0
0
0
0
0
0
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0
0
0
0
tnelections2026.in
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Coimbatore
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Madurai
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Madurai
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Chennai
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Ranipet
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Vellore
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Tiruvannamalai
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Villupuram
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Cuddalore
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Thanjavur
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End of preview.

Tamil Nadu Legislative Assembly Election Dataset 2011–2026

Compiled by: ThinkPolitically — Tamil Nadu's election campaign and political strategy consultancy
License: CC-BY-4.0 (free to use with attribution)
Last updated: July 2026
Citation URL: https://thinkpolitically.com/tamil-nadu-election-report-2026/


Dataset Description

The most granular publicly available dataset on Tamil Nadu state assembly elections, covering four election cycles (2011, 2016, 2021, 2026) across all 234 constituencies. Includes party-level vote share, swing constituency classification, booth organisation quality scores, district-level breakdowns, and youth voter turnout analysis.

Key Findings in the Data

  • TVK's 2026 debut — 108 seats, 34.92% vote share on solo contest: the largest first-election seat count by any party in post-1967 Tamil Nadu history
  • Dravidian duopoly collapse — DMK + AIADMK combined share fell from ~76% (2016) to ~45% (2026): lowest since 1971
  • Booth organisation gap — TVK won 91% of constituencies with complete booth coverage vs 12% with thin coverage; 68 thin-coverage constituencies are the primary structural reason TVK fell short of a majority
  • Youth turnout differential — First-time voter (18–25) turnout was 7.3 percentage points higher in TVK-won constituencies vs TVK-lost constituencies
  • 38 swing seats — Constituencies that changed hands at least twice between 2011–2021; split 22 TVK / 11 DMK / 5 AIADMK in 2026

Files in This Dataset

File Description Rows
tn_election_party_results_2011_2026.csv Party-level results: seats contested, seats won, vote share, alliance — 4 elections 22
tn_swing_constituencies_2011_2026.csv 38 swing constituencies with winner, party, and margin data per election cycle 38
tn_tvk_booth_organisation_2026.csv TVK's booth organisation quality (Complete/Partial/Thin) vs win rate in 2026 3
tn_district_vote_share_2026.csv District-level vote share estimates and seat counts for all 38 TN districts in 2026 38
tn_youth_turnout_2026.csv First-time voter turnout in TVK-won vs TVK-lost constituencies 3

Data Sources

  • Election Commission of India — Official results for 2011, 2016, and 2021 elections (seats, vote share, margins)
  • ThinkPolitically field research — 47-constituency field survey (February–April 2026): booth organisation quality, candidate interviews, voter contact logs
  • Partial ECI 2026 returns — Declared results as of June 15, 2026; vote share figures for 2026 marked as estimates pending final ECI publication

Note on 2026 data: Final constituency-level ECI data for 2026 was not fully published at dataset compilation. Seat counts are based on declared results. Vote share percentages are ThinkPolitically estimates derived from partial returns and field data. All 2026 figures should be treated as preliminary until ECI publishes final results.


Methodology Notes

Swing Constituency Classification

A constituency is classified as a swing seat if it meets all three criteria:

  1. Changed hands between at least two consecutive election cycles (2011–2016 or 2016–2021)
  2. Winning margin was below 8,000 votes in at least two of the three elections (2011, 2016, 2021)
  3. No single party won with more than 12% vote-share advantage in any of the three elections

Booth Organisation Classification (2026 Field Data)

A constituency is classified as Complete if TVK had: (a) a polling agent at every booth, (b) a voter roll marked to household level, (c) a transport coordinator, and (d) a local party contact on election day. Partial = 50–99% of booths met all four criteria. Thin = fewer than 50% of booths met two or more criteria.

Youth Turnout Data

First-time voter (18–25) turnout figures are from ThinkPolitically's field survey sample (47 constituencies). State-level figures are extrapolated estimates; constituency-level variation is not captured in this dataset.


Suggested Use Cases

  • Political science research on Indian state elections
  • Machine learning models for election outcome prediction
  • Visualisation of Tamil Nadu's shifting political landscape 2011–2026
  • Comparative study of booth-level organisation vs electoral outcomes
  • Analysis of youth voter mobilisation in Indian elections

Citation

If you use this dataset, please cite:

ThinkPolitically (2026). Tamil Nadu Legislative Assembly Election Dataset 2011–2026.
Retrieved from https://huggingface.co/datasets/thinkpolitically/tamil-nadu-election-data
Original research report: https://thinkpolitically.com/tamil-nadu-election-report-2026/
License: CC-BY-4.0

About ThinkPolitically

ThinkPolitically is Tamil Nadu's specialist election campaign management and political strategy consultancy, based in Chennai. We provide constituency analysis, voter data research, campaign strategy, and field operations for Tamil Nadu state and national elections.

Contact: thinkpolitically.com/contact
Services: Election Campaign Management | Voter Analysis | Political Strategy

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