Datasets:
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 1 new columns ({'are'}) and 1 missing columns ({'what'}). This happened while the csv dataset builder was generating data using hf://datasets/rungalileo/mit_movies_fixed_connll_format/MIT_movies_fixed_test.tsv (at revision bf6c430a8673a2305638576a61f99efdd4f7b2a1) 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/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast are: string O: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 471 to {'what': Value(dtype='string', id=None), 'O': Value(dtype='string', id=None)} 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 1321, 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 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 1 new columns ({'are'}) and 1 missing columns ({'what'}). This happened while the csv dataset builder was generating data using hf://datasets/rungalileo/mit_movies_fixed_connll_format/MIT_movies_fixed_test.tsv (at revision bf6c430a8673a2305638576a61f99efdd4f7b2a1) 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.
what
string | O
string |
---|---|
movies | O |
star | O |
bruce | B-ACTOR |
willis | E-ACTOR |
show | O |
me | O |
films | O |
with | O |
drew | B-ACTOR |
barrymore | E-ACTOR |
from | O |
the | O |
1980s | S-YEAR |
what | O |
movies | O |
starred | O |
both | O |
al | B-ACTOR |
pacino | E-ACTOR |
and | O |
robert | B-ACTOR |
deniro | E-ACTOR |
find | O |
me | O |
all | O |
of | O |
the | O |
movies | O |
that | O |
starred | O |
harold | B-ACTOR |
ramis | E-ACTOR |
and | O |
bill | B-ACTOR |
murray | E-ACTOR |
find | O |
me | O |
a | O |
movie | O |
with | O |
a | O |
quote | O |
about | O |
baseball | O |
in | O |
it | O |
what | O |
movies | O |
have | O |
mississippi | S-TITLE |
in | O |
the | O |
title | O |
show | O |
me | O |
science | B-GENRE |
fiction | I-GENRE |
films | E-GENRE |
directed | O |
by | O |
steven | B-DIRECTOR |
spielberg | E-DIRECTOR |
do | O |
you | O |
have | O |
any | O |
thrillers | S-GENRE |
directed | O |
by | O |
sofia | B-DIRECTOR |
coppola | E-DIRECTOR |
what | O |
leonard | B-SONG |
cohen | I-SONG |
songs | E-SONG |
have | O |
been | O |
used | O |
in | O |
a | O |
movie | O |
show | O |
me | O |
films | O |
elvis | S-ACTOR |
films | O |
set | B-PLOT |
in | I-PLOT |
hawaii | E-PLOT |
what | O |
movie | O |
is | O |
references | O |
zydrate | S-PLOT |
are | O |
there | O |
any | O |
musical | B-GENRE |
films | E-GENRE |
with | O |
Dataset Card for MIT_movies_fixed
Dataset Summary
This dataset is a version of the MIT movies
Curation Rationale
This dataset was created to showcase the power of Galileo as a Data Intelligence Platform. Through Galileo, we identify critical error patterns within the original MIT movies dataset - annotation errors, ill-formed samples etc. Moreover, we observe that these errors permeate throughout the test dataset. As a result of our analysis, we fix 4% of the dataset by re-annotating the samples, and provide the dataset for NER research. To learn more about the process of fixing this dataset, please refer to our Blog.
Dataset Structure
Data Instances
Every sample is blank line separated, every row is tab separated, and contains the word and its corresponding NER tag. This dataset uses the BIOES tagging schema.
An example from the dataset looks as follows:
show O
me O
a O
movie O
about O
cars B-PLOT
that I-PLOT
talk E-PLOT
Data Splits
The data is split into a training and test split. The training data has ~9700 samples and the test data has ~2700 samples.
Data Classes
The dataset contains the following 12 classes: ACTOR, YEAR, TITLE, GENRE, DIRECTOR, SONG, PLOT, REVIEW, CHARACTER, RATING, RATINGS_AVERAGE, TRAILER. Some of the classes have high semantic overlap (e.g. RATING/RATINGS_AVERAGE and ACTOR/DIRECTOR).
- Downloads last month
- 40