Datasets:

samarpanrai
/

Nepal-Premier-League-ball-by-ball

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 23 new columns ({'shot_direction', 'ball_result', 'batting_style', 'batsman_runs', 'bye_runs', 'batsman', 'match_id', 'bowling_team', 'player_dismissed', 'noball_runs', 'dismissal_kind', 'ball_over', 'fielder', 'non_striker', 'bowling_style', 'extra_runs', 'batting_team', 'bowling_arm', 'legbye_runs', 'wide_runs', 'inning', 'total_runs', 'bowler'}) and 27 missing columns ({'win_by_runs', 'total_ball_bowled', 'toss_decision', 'winner', 'dls_applied', 'player_of_the_match', 'team_2', 'id', 'over_balls', 'team_1_overs_played', 'team_2_runs_from_extra', 'team_2_overs_played', 'team_1_runs', 'season ', 'team_1_wickets', 'city', 'win_by_wickets', 'toss_winner', 'date', 'super_over', 'team_1_runs_from_extra', 'extra_balls', 'result', 'team_1', 'team_2_runs', 'venue', 'team_2_wickets'}).

This happened while the csv dataset builder was generating data using

hf://datasets/samarpanrai/Nepal-Premier-League-ball-by-ball/NPL_final.csv (at revision 53ae5e06042e2a4912f32c008f4783f11b0e81a6)

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 "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              match_id: int64
              inning: int64
              batting_team: string
              bowling_team: string
              ball_over: double
              ball_result: string
              bowler: string
              bowling_arm: string
              bowling_style: string
              batsman: string
              batting_style: string
              non_striker: string
              shot_direction: string
              player_dismissed: string
              dismissal_kind: string
              fielder: string
              batsman_runs: int64
              wide_runs: int64
              bye_runs: int64
              legbye_runs: int64
              noball_runs: int64
              extra_runs: int64
              total_runs: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3018
              to
              {'id': Value('int64'), 'season ': Value('int64'), 'date': Value('string'), 'venue': Value('string'), 'city': Value('string'), 'team_1': Value('string'), 'team_2': Value('string'), 'toss_winner': Value('string'), 'toss_decision': Value('string'), 'result': Value('string'), 'dls_applied': Value('int64'), 'super_over': Value('int64'), 'winner': Value('string'), 'team_1_runs': Value('int64'), 'team_2_runs': Value('int64'), 'team_1_overs_played': Value('float64'), 'team_2_overs_played': Value('float64'), 'team_1_wickets': Value('int64'), 'team_2_wickets': Value('int64'), 'team_1_runs_from_extra': Value('int64'), 'team_2_runs_from_extra': Value('int64'), 'win_by_runs': Value('int64'), 'win_by_wickets': Value('int64'), 'player_of_the_match': Value('string'), 'over_balls': Value('int64'), 'extra_balls': Value('int64'), 'total_ball_bowled': Value('int64')}
              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 1455, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 23 new columns ({'shot_direction', 'ball_result', 'batting_style', 'batsman_runs', 'bye_runs', 'batsman', 'match_id', 'bowling_team', 'player_dismissed', 'noball_runs', 'dismissal_kind', 'ball_over', 'fielder', 'non_striker', 'bowling_style', 'extra_runs', 'batting_team', 'bowling_arm', 'legbye_runs', 'wide_runs', 'inning', 'total_runs', 'bowler'}) and 27 missing columns ({'win_by_runs', 'total_ball_bowled', 'toss_decision', 'winner', 'dls_applied', 'player_of_the_match', 'team_2', 'id', 'over_balls', 'team_1_overs_played', 'team_2_runs_from_extra', 'team_2_overs_played', 'team_1_runs', 'season ', 'team_1_wickets', 'city', 'win_by_wickets', 'toss_winner', 'date', 'super_over', 'team_1_runs_from_extra', 'extra_balls', 'result', 'team_1', 'team_2_runs', 'venue', 'team_2_wickets'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/samarpanrai/Nepal-Premier-League-ball-by-ball/NPL_final.csv (at revision 53ae5e06042e2a4912f32c008f4783f11b0e81a6)
              
              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.

id int64	season int64	date string	venue string	city string	team_1 string	team_2 string	toss_winner string	toss_decision string	result string	dls_applied int64	super_over int64	winner string	team_1_runs int64	team_2_runs int64	team_1_overs_played float64	team_2_overs_played float64	team_1_wickets int64	team_2_wickets int64	team_1_runs_from_extra int64	team_2_runs_from_extra int64	win_by_runs int64	win_by_wickets int64	player_of_the_match string	over_balls int64	extra_balls int64	total_ball_bowled int64
1	2,024	2024-11-30	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Biratnagar Kings	Janakpur Bolts	Janakpur Bolts	field	normal	0	0	Janakpur Bolts	127	131	19	15.3	10	2	15	22	0	8	Lahiru Milantha	207	17	224
2	2,024	2024-12-02	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Kathmandu Gurkhas	Chitwan Rhinos	Chitwan Rhinos	field	normal	0	0	Chitwan Rhinos	111	114	20	17.1	9	5	8	12	0	5	Sohail Tanvir	223	5	228
3	2,024	2024-12-02	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Karnali Yaks	Janakpur Bolts	Karnali Yaks	bat	normal	0	0	Janakpur Bolts	141	142	20	15.1	7	2	8	4	0	8	Anil Sah	211	11	222
4	2,024	2024-12-03	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Sudurpaschim Royals	Biratnagar Kings	Biratnagar Kings	field	normal	0	0	Sudurpaschim Royals	182	92	20	16.1	7	10	7	7	90	0	Dipendra Singh Airee	217	9	226
5	2,024	2024-12-03	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Chitwan Rhinos	Pokhara Avengers	Pokhara Avengers	field	normal	0	0	Chitwan Rhinos	161	74	20	13.2	7	10	5	11	87	0	Rijan Dhakal	200	9	209
6	2,024	2024-12-04	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Karnali Yaks	Kathmandu Gurkhas	Kathmandu Gurkhas	field	normal	0	0	Kathmandu Gurkhas	149	153	20	19.3	5	7	13	7	0	3	Sumit Maharjan	237	12	249
7	2,024	2024-12-04	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Lumbini Lions	Biratnagar Kings	Biratnagar Kings	field	normal	0	0	Biratnagar Kings	191	193	20	19.5	7	8	29	20	0	2	Lokesh Bam	239	16	255
8	2,024	2024-12-05	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Pokhara Avengers	Janakpur Bolts	Janakpur Bolts	field	normal	0	0	Janakpur Bolts	138	143	20	17.1	7	3	8	11	0	7	James Neesham	223	10	233
9	2,024	2024-12-05	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Sudurpaschim Royals	Kathmandu Gurkhas	Kathmandu Gurkhas	field	normal	0	0	Sudurpaschim Royals	167	94	20	15.5	6	10	10	2	73	0	Naren Saud	215	7	222
10	2,024	2024-12-06	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Chitwan Rhinos	Karnali Yaks	Karnali Yaks	field	normal	0	0	Karnali Yaks	130	132	20	19.5	7	4	5	9	0	6	Bipin Sharma	239	9	248
11	2,024	2024-12-06	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Lumbini Lions	Pokhara Avengers	Lumbini Lions	bat	normal	0	0	Pokhara Avengers	170	176	20	16.5	4	0	10	11	0	10	Andries Gous	221	6	227
12	2,024	2024-12-07	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Sudurpaschim Royals	Lumbini Lions	Lumbini Lions	field	normal	0	0	Sudurpaschim Royals	187	142	20	20	4	9	7	8	45	0	Saif Zaib	240	9	249
13	2,024	2024-12-07	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Karnali Yaks	Biratnagar Kings	Biratnagar Kings	field	normal	0	0	Karnali Yaks	133	126	20	20	10	8	5	9	7	0	William Bosisto	240	6	246
14	2,024	2024-12-08	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Janakpur Bolts	Lumbini Lions	Lumbini Lions	field	normal	0	0	Janakpur Bolts	136	135	20	20	9	8	15	17	1	0	Harsh Thaker	240	9	249
15	2,024	2024-12-08	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Chitwan Rhinos	Sudurpaschim Royals	Chitwan Rhinos	bat	normal	0	0	Chitwan Rhinos	164	131	20	18.2	5	10	16	7	33	0	Hassan Eisakhil	230	10	240
16	2,024	2024-12-10	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Lumbini Lions	Chitwan Rhinos	Chitwan Rhinos	field	normal	0	0	Lumbini Lions	167	134	20	20	6	8	5	6	33	0	Rohit Paudel	240	5	245
17	2,024	2024-12-10	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Pokhara Avengers	Karnali Yaks	Pokhara Avengers	bat	normal	0	0	Karnali Yaks	103	106	16.3	15	10	3	5	6	0	7	William Bosisto	189	2	191
18	2,024	2024-12-11	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Sudurpaschim Royals	Janakpur Bolts	Janakpur Bolts	field	normal	0	0	Sudurpaschim Royals	123	51	20	12.1	9	10	13	13	72	0	Ishan Pandey	193	10	203
19	2,024	2024-12-11	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Kathmandu Gurkhas	Lumbini Lions	Kathmandu Gurkhas	bat	normal	0	0	Kathmandu Gurkhas	103	85	19.2	19.2	10	10	3	11	18	0	Karan KC	232	5	237
20	2,024	2024-12-12	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Biratnagar Kings	Pokhara Avengers	Biratnagar Kings	bat	normal	0	1	Pokhara Avengers	139	139	20	20	7	6	4	7	0	0	Raymon Reifer	240	4	244
21	2,024	2024-12-12	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Kathmandu Gurkhas	Janakpur Bolts	Kathmandu Gurkhas	bat	normal	0	0	Janakpur Bolts	101	105	19.3	15.5	10	5	11	5	0	5	Lalit Rajbanshi	212	5	217
22	2,024	2024-12-13	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Karnali Yaks	Lumbini Lions	Lumbini Lions	field	normal	0	0	Karnali Yaks	128	123	20	20	8	7	7	0	5	0	William Bosisto	240	2	242
23	2,024	2024-12-13	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Biratnagar Kings	Chitwan Rhinos	Biratnagar Kings	bat	normal	0	0	Biratnagar Kings	181	130	20	20	5	6	23	6	51	0	Basir Ahamad	240	12	252
24	2,024	2024-12-14	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Pokhara Avengers	Kathmandu Gurkhas	Kathmandu Gurkhas	field	normal	0	0	Kathmandu Gurkhas	138	142	20	14.1	8	4	11	1	0	6	Stephen Eskinazi	205	4	209
25	2,024	2024-12-14	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Chitwan Rhinos	Janakpur Bolts	Chitwan Rhinos	bat	normal	0	0	Chitwan Rhinos	180	148	20	18	5	10	12	8	32	0	Kushal Malla	228	12	240
26	2,024	2024-12-15	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Biratnagar Kings	Kathmandu Gurkhas	Kathmandu Gurkhas	field	normal	0	0	Kathmandu Gurkhas	117	120	19.5	18.1	10	9	12	13	0	1	Dipesh Kandel	228	10	238
27	2,024	2024-12-15	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Sudurpaschim Royals	Pokhara Avengers	Pokhara Avengers	field	normal	0	0	Sudurpaschim Royals	153	148	20	19.4	7	10	14	15	5	0	Scott Kuggeleijn	238	11	249
28	2,024	2024-12-16	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Karnali Yaks	Sudurpaschim Royals	Sudurpaschim Royals	field	normal	0	0	Sudurpaschim Royals	101	105	20	15.2	10	4	8	7	0	6	Dipendra Singh Airee	212	10	222
29	2,024	2024-12-18	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Karnali Yaks	Chitwan Rhinos	Chitwan Rhinos	field	normal	0	0	Karnali Yaks	175	154	20	20	6	9	7	7	21	0	Chadwick Walton	240	6	246
30	2,024	2024-12-18	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Janakpur Bolts	Sudurpaschim Royals	Janakpur Bolts	bat	normal	0	0	Sudurpaschim Royals	139	141	20	18.3	9	2	10	6	0	8	Binod Bhandari	231	8	239
31	2,024	2024-12-19	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Karnali Yaks	Janakpur Bolts	Janakpur Bolts	field	normal	0	0	Janakpur Bolts	118	119	20	19	9	8	8	4	0	2	James Neesham	234	6	240
32	2,024	2024-12-21	Tribhuvan University International Cricket Ground, Kirtipur	Kathmandu	Sudurpaschim Royals	Janakpur Bolts	Sudurpaschim Royals	bat	normal	0	0	Janakpur Bolts	184	185	20	19.2	9	5	8	18	0	5	Lahiru Milantha	236	8	244
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End of preview.

🏏 Nepal Premier League Dataset

This dataset provides structured data from the Nepal Premier League (NPL).

It includes two configurations:

ball_by_ball — Every ball delivered in NPL matches, with batsman, bowler, runs, extras, and dismissals.
match_summary — Per-match summaries including teams, venue, toss details, scores, and results.

🧠 Usage

from datasets import load_dataset

# Ball-by-ball data
ball_data = load_dataset("samarpanrai/Nepal-Premier-League-ball-by-ball", "ball_by_ball")

# Match summary data
match_data = load_dataset("samarpanrai/Nepal-Premier-League-ball-by-ball", "match_summary")

Files

NPL_matches.csv: Data for each match in the Nepal Premier League, including information such as:
- match_id
- date
- teams
- match_result
- total_runs, wickets, and other match statistics
NPL_final.csv: A more granular dataset that includes ball-by-ball data for every match, including:
- match_id
- ball_over
- bowler
- batsman
- batsman_runs
- dismissal_kind
- shot_direction, and other data

Purpose

The datasets provide insights into the performance and outcomes of the Nepal Premier League (NPL) matches. The ball-by-ball data allows for in-depth analysis and exploration of the matches, while the match-level dataset offers an overview of each game played in the league.

Usage

You can use these datasets for:

Statistical analysis of player performance
Match outcome prediction models
Visualizing trends and patterns across multiple seasons
Research and analysis related to cricket match dynamics

License

The datasets are provided for research, analysis, and educational purposes. Please attribute the source appropriately when using the data.

For any questions or issues, please contact [[email protected]].

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