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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 351 new columns ({'26207', '26144', '26303', '26173', '26215', '26208', '26309', '26105', '26157', '26200', '26437', '26239', '26151', '26431', '26313', '26382', '26214', '26395', '26229', '26432', '26287', '26325', '26294', '26336', '26251', '26289', '26365', '26116', '26369', '26146', '26308', '26154', '26204', '26172', '26349', '26203', '26092', '26111', '26183', '26140', '26138', '26234', '26413', '26093', '26147', '26184', '26160', '26345', '26109', '26134', '26314', '26231', '26263', '26226', '26192', '26359', '26205', '26417', '26221', '26244', '26101', '26324', '26174', '26088', '26285', '26217', '26368', '26362', '26180', '26418', '26216', '26090', '26209', '26335', '26171', '26376', '26282', '26250', '26283', '26186', '26187', '26177', '26380', '26435', '26228', '26264', '26389', '26312', '26361', '26103', '26364', '26170', '26277', '26181', '26426', '26161', '26176', '26344', '26261', '26379', '26168', '26091', '26279', '26391', '26124', '26130', '26210', '26403', '26416', '26193', '26135', '26320', '26321', '26419', '26259', '26347', '26407', '26415', '26281', '26424', '26097', '26385', '26316', '26353', '26346', '26102', '26327', '26152', '26295', '26220', '26120', '26099', '26394', '26104', '26255', '26129', '26427', '26235', '26332', '26094', '26243', '26300', '26290', '26127', '26284', '26191', '26390', '26275', '26108', '26224', '26114', '26398', '26428', '26358', '26438', '26292', '26155', '26392', '26143', '26137', '26357', '26383', '26396', '26350', '26112', '26304', '2616
...
6110', '26318', '26302', '26343', '26421', '26339', '26371', '26133', '26406', '26089', '26188', '26247', '26297', '26409', '26195', '26123', '26149', '26420', '26232', '26254', '26360', '26400', '26276', '26118', '26163', '26405', '26230', '26274', '26328', '26258', '26408', '26182', '26219', '26388', '26310', '26434', '26225', '26131', '26194', '26291', '26206', '26342', '26412', '26329', '26213', '26240', '26096', '26267', '26340', '26299', '26145', '26126', '26165', '26266', '26298', '26098', '26326', '26198', '26273', '26107', '26373', '26156', '26414', '26410', '26095', '26393', '26399', '26311', '26212', '26169', '26330', '26246', '26269', '26119', '26348', '26363', '26433', '26334', '26375', '26384', '26401', '26236', '26319', '26430', '26189', '26115', '26238', '26121', '26386', '26436', '26260', '26387', '26352', '26331', '26278', '26301', '26245', '26381', '26280', '26241', '26429', '26370', '26167', '26377', '26178', '26196', '26397', '26125', '26366', '26317', '26253', '26113', '26315', '26153', '26222', '26150', '26378', '26306', '26351', '26117', '26175', '26106', '26199', '26166', '26402', '26190', '26159', '26367', '26202', '26249', '26374', '26356', '26265', '26100', '26354', '26223', '26197', '26337', '26307', '26122', '26268', '26227', '26233', '26411', '26296', '26257', '26404', '26256', '26323', '26341', '26201', '26148', '26242', '26286', '26271', '26355', '26272', '26333', '26128', '26136', '26237', '26158', '26141', '26423', '26139', '26218', '26248'}) and 351 missing columns ({'9671', '9868', '9643', '9625', '9798', '9777', '9839', '9865', '9768', '9711', '9705', '9698', '9870', '9650', '9744', '9762', '9853', '9905', '9827', '9806', '9921', '9825', '9953', '9680', '9746', '9963', '9724', '9774', '9791', '9886', '9690', '9792', '9958', '9624', '9735', '9913', '9871', '9909', '9788', '9742', '9659', '9684', '9685', '9688', '9626', '9814', '9648', '9885', '9719', '9630', '9660', '9736', '9918', '9946', '9854', '9689', '9677', '9891', '9667', '9651', '9776', '9627', '9952', '9753', '9693', '9759', '9882', '9730', '9944', '9635', '9714', '9706', '9903', '9928', '9908', '9949', '9800', '9822', '9726', '9902', '9950', '9923', '9740', '9751', '9819', '9867', '9804', '9842', '9697', '9934', '9872', '9655', '9833', '9699', '9644', '9748', '9957', '9703', '9707', '9731', '9883', '9682', '9745', '9775', '9966', '9665', '9696', '9967', '9712', '9785', '9924', '9770', '9727', '9851', '9738', '9856', '9948', '9824', '9904', '9709', '9816', '9838', '9810', '9873', '9672', '9864', '9633', '9683', '9933', '9675', '9674', '9737', '9890', '9832', '9959', '9769', '9637', '9876', '9620', '9877', '9911', '9844', '9897', '9666', '9656', '9818', '9628', '9773', '9733', '9639', '9752', '9805', '9636', '9852', '9799', '9836', '9917', '9841', '9663', '9829', '9922', '9657', '9869', '9920', '9866', '9889', '9679', '9796', '9893', '9887', '9618', '9808', '9756', '9652', '9669', '9914', '9826', '9896', '9717', '9619', '9642', '9661', '9772', '9936', '9895', '9811', '9802', '9715', '9809', '9942', '9632', '9623', '9760', '9831', '9912', '9686', '9793', '9622', '9702', '9641', '9916', '9927', '9884', '9815', '9765', '9764', '9954', '9722', '9840', '9907', '9716', '9863', '9834', '9968', '9766', '9881', '9850', '9898', '9879', '9676', '9713', '9718', '9771', '9640', '9708', '9947', '9741', '9859', '9668', '9629', '9750', '9755', '9691', '9649', '9910', '9721', '9861', '9720', '9837', '9817', '9790', '9797', '9803', '9951', '9848', '9855', '9670', '9647', '9729', '9919', '9892', '9678', '9704', '9828', '9813', '9646', '9767', '9645', '9634', '9758', '9807', '9801', '9710', '9734', '9732', '9794', '9901', '9673', '9662', '9955', '9940', '9939', '9743', '9763', '9687', '9899', '9964', '9894', '9932', '9749', '9725', '9820', '9935', '9823', '9960', '9787', '9860', '9786', '9915', '9789', '9784', '9783', '9692', '9654', '9782', '9843', '9875', '9931', '9739', '9956', '9846', '9621', '9874', '9754', '9857', '9937', '9812', '9962', '9862', '9945', '9780', '9858', '9938', '9700', '9845', '9664', '9847', '9757', '9723', '9880', '9701', '9930', '9821', '9781', '9694', '9830', '9943', '9747', '9795', '9778', '9926', '9631', '9878', '9728', '9849', '9961', '9900', '9681', '9941', '9638', '9779', '9653', '9835', '9888', '9925', '9906', '9695', '9965', '9929', '9658', '9761'}).

This happened while the csv dataset builder was generating data using

zip://GeoKey801_BAND1.csv::/tmp/hf-datasets-cache/medium/datasets/81976467955490-config-parquet-and-info-cjerzak-ImageHeterogeneit-eac37803/downloads/31c3c08f8c084690406cbd7009837d064c53f0451dead47da619fa5ad11a9396

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
              26088: int64
              26089: int64
              26090: int64
              26091: int64
              26092: int64
              26093: int64
              26094: int64
              26095: int64
              26096: int64
              26097: int64
              26098: int64
              26099: int64
              26100: int64
              26101: int64
              26102: int64
              26103: int64
              26104: int64
              26105: int64
              26106: int64
              26107: int64
              26108: int64
              26109: int64
              26110: int64
              26111: int64
              26112: int64
              26113: int64
              26114: int64
              26115: int64
              26116: int64
              26117: int64
              26118: int64
              26119: int64
              26120: int64
              26121: int64
              26122: int64
              26123: int64
              26124: int64
              26125: int64
              26126: int64
              26127: int64
              26128: int64
              26129: int64
              26130: int64
              26131: int64
              26132: int64
              26133: int64
              26134: int64
              26135: int64
              26136: int64
              26137: int64
              26138: int64
              26139: int64
              26140: int64
              26141: int64
              26142: int64
              26143: int64
              26144: int64
              26145: int64
              26146: int64
              26147: int64
              26148: int64
              26149: int64
              26150: int64
              26151: int64
              26152: int64
              26153: int64
              26154: int64
              26155: int64
              26156: int64
              26157: int64
              26158: int64
              26159: int64
              26160: int64
              26161: int64
              26162: int64
              26163: int64
              26164: int64
              26165: int64
              26166: int64
              26167: int64
              26168: int64
              26169: int64
              26170: int64
              26171: int64
              26172: int64
              26173: int64
              26174: int64
              26175: int64
              26176: int64
              26177: int64
              26178: int64
              26179: int64
              26180: int64
              26181: int64
              26182: int64
              26183: int64
              26184: int64
              26185: int64
              26186: int64
              26187: int64
              26188: int64
              26189: int64
              26190: int64
              26191: int64
              26192: int64
              26193: int64
              26194: int64
              26195: int64
              26196: int64
              26197: int64
              26198: int64
              26199: int64
              26200: int64
              26201: int64
              26202: int64
              26203
              ...
              nt64
              26332: int64
              26333: int64
              26334: int64
              26335: int64
              26336: int64
              26337: int64
              26338: int64
              26339: int64
              26340: int64
              26341: int64
              26342: int64
              26343: int64
              26344: int64
              26345: int64
              26346: int64
              26347: int64
              26348: int64
              26349: int64
              26350: int64
              26351: int64
              26352: int64
              26353: int64
              26354: int64
              26355: int64
              26356: int64
              26357: int64
              26358: int64
              26359: int64
              26360: int64
              26361: int64
              26362: int64
              26363: int64
              26364: int64
              26365: int64
              26366: int64
              26367: int64
              26368: int64
              26369: int64
              26370: int64
              26371: int64
              26372: int64
              26373: int64
              26374: int64
              26375: int64
              26376: int64
              26377: int64
              26378: int64
              26379: int64
              26380: int64
              26381: int64
              26382: int64
              26383: int64
              26384: int64
              26385: int64
              26386: int64
              26387: int64
              26388: int64
              26389: int64
              26390: int64
              26391: int64
              26392: int64
              26393: int64
              26394: int64
              26395: int64
              26396: int64
              26397: int64
              26398: int64
              26399: int64
              26400: int64
              26401: int64
              26402: int64
              26403: int64
              26404: int64
              26405: int64
              26406: int64
              26407: int64
              26408: int64
              26409: int64
              26410: int64
              26411: int64
              26412: int64
              26413: int64
              26414: int64
              26415: int64
              26416: int64
              26417: int64
              26418: int64
              26419: int64
              26420: int64
              26421: int64
              26422: int64
              26423: int64
              26424: int64
              26425: int64
              26426: int64
              26427: int64
              26428: int64
              26429: int64
              26430: int64
              26431: int64
              26432: int64
              26433: int64
              26434: int64
              26435: int64
              26436: int64
              26437: int64
              26438: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 37818
              to
              {'9618': Value(dtype='int64', id=None), '9619': Value(dtype='int64', id=None), '9620': Value(dtype='int64', id=None), '9621': Value(dtype='int64', id=None), '9622': Value(dtype='int64', id=None), '9623': Value(dtype='int64', id=None), '9624': Value(dtype='int64', id=None), '9625': Value(dtype='int64', id=None), '9626': Value(dtype='int64', id=None), '9627': Value(dtype='int64', id=None), '9628': Value(dtype='int64', id=None), '9629': Value(dtype='int64', id=None), '9630': Value(dtype='int64', id=None), '9631': Value(dtype='int64', id=None), '9632': Value(dtype='int64', id=None), '9633': Value(dtype='int64', id=None), '9634': Value(dtype='int64', id=None), '9635': Value(dtype='int64', id=None), '9636': Value(dtype='int64', id=None), '9637': Value(dtype='int64', id=None), '9638': Value(dtype='int64', id=None), '9639': Value(dtype='int64', id=None), '9640': Value(dtype='int64', id=None), '9641': Value(dtype='int64', id=None), '9642': Value(dtype='int64', id=None), '9643': Value(dtype='int64', id=None), '9644': Value(dtype='int64', id=None), '9645': Value(dtype='int64', id=None), '9646': Value(dtype='int64', id=None), '9647': Value(dtype='int64', id=None), '9648': Value(dtype='int64', id=None), '9649': Value(dtype='int64', id=None), '9650': Value(dtype='int64', id=None), '9651': Value(dtype='int64', id=None), '9652': Value(dtype='int64', id=None), '9653': Value(dtype='int64', id=None), '9654': Value(dtype='int64', id=None), '9655': Value(dtype='int64', id=None), '9656': Value(dty
              ...
              'int64', id=None), '9931': Value(dtype='int64', id=None), '9932': Value(dtype='int64', id=None), '9933': Value(dtype='int64', id=None), '9934': Value(dtype='int64', id=None), '9935': Value(dtype='int64', id=None), '9936': Value(dtype='int64', id=None), '9937': Value(dtype='int64', id=None), '9938': Value(dtype='int64', id=None), '9939': Value(dtype='int64', id=None), '9940': Value(dtype='int64', id=None), '9941': Value(dtype='int64', id=None), '9942': Value(dtype='int64', id=None), '9943': Value(dtype='int64', id=None), '9944': Value(dtype='int64', id=None), '9945': Value(dtype='int64', id=None), '9946': Value(dtype='int64', id=None), '9947': Value(dtype='int64', id=None), '9948': Value(dtype='int64', id=None), '9949': Value(dtype='int64', id=None), '9950': Value(dtype='int64', id=None), '9951': Value(dtype='int64', id=None), '9952': Value(dtype='int64', id=None), '9953': Value(dtype='int64', id=None), '9954': Value(dtype='int64', id=None), '9955': Value(dtype='int64', id=None), '9956': Value(dtype='int64', id=None), '9957': Value(dtype='int64', id=None), '9958': Value(dtype='int64', id=None), '9959': Value(dtype='int64', id=None), '9960': Value(dtype='int64', id=None), '9961': Value(dtype='int64', id=None), '9962': Value(dtype='int64', id=None), '9963': Value(dtype='int64', id=None), '9964': Value(dtype='int64', id=None), '9965': Value(dtype='int64', id=None), '9966': Value(dtype='int64', id=None), '9967': Value(dtype='int64', id=None), '9968': Value(dtype='int64', 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 1324, 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 938, 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 351 new columns ({'26207', '26144', '26303', '26173', '26215', '26208', '26309', '26105', '26157', '26200', '26437', '26239', '26151', '26431', '26313', '26382', '26214', '26395', '26229', '26432', '26287', '26325', '26294', '26336', '26251', '26289', '26365', '26116', '26369', '26146', '26308', '26154', '26204', '26172', '26349', '26203', '26092', '26111', '26183', '26140', '26138', '26234', '26413', '26093', '26147', '26184', '26160', '26345', '26109', '26134', '26314', '26231', '26263', '26226', '26192', '26359', '26205', '26417', '26221', '26244', '26101', '26324', '26174', '26088', '26285', '26217', '26368', '26362', '26180', '26418', '26216', '26090', '26209', '26335', '26171', '26376', '26282', '26250', '26283', '26186', '26187', '26177', '26380', '26435', '26228', '26264', '26389', '26312', '26361', '26103', '26364', '26170', '26277', '26181', '26426', '26161', '26176', '26344', '26261', '26379', '26168', '26091', '26279', '26391', '26124', '26130', '26210', '26403', '26416', '26193', '26135', '26320', '26321', '26419', '26259', '26347', '26407', '26415', '26281', '26424', '26097', '26385', '26316', '26353', '26346', '26102', '26327', '26152', '26295', '26220', '26120', '26099', '26394', '26104', '26255', '26129', '26427', '26235', '26332', '26094', '26243', '26300', '26290', '26127', '26284', '26191', '26390', '26275', '26108', '26224', '26114', '26398', '26428', '26358', '26438', '26292', '26155', '26392', '26143', '26137', '26357', '26383', '26396', '26350', '26112', '26304', '2616
              ...
              6110', '26318', '26302', '26343', '26421', '26339', '26371', '26133', '26406', '26089', '26188', '26247', '26297', '26409', '26195', '26123', '26149', '26420', '26232', '26254', '26360', '26400', '26276', '26118', '26163', '26405', '26230', '26274', '26328', '26258', '26408', '26182', '26219', '26388', '26310', '26434', '26225', '26131', '26194', '26291', '26206', '26342', '26412', '26329', '26213', '26240', '26096', '26267', '26340', '26299', '26145', '26126', '26165', '26266', '26298', '26098', '26326', '26198', '26273', '26107', '26373', '26156', '26414', '26410', '26095', '26393', '26399', '26311', '26212', '26169', '26330', '26246', '26269', '26119', '26348', '26363', '26433', '26334', '26375', '26384', '26401', '26236', '26319', '26430', '26189', '26115', '26238', '26121', '26386', '26436', '26260', '26387', '26352', '26331', '26278', '26301', '26245', '26381', '26280', '26241', '26429', '26370', '26167', '26377', '26178', '26196', '26397', '26125', '26366', '26317', '26253', '26113', '26315', '26153', '26222', '26150', '26378', '26306', '26351', '26117', '26175', '26106', '26199', '26166', '26402', '26190', '26159', '26367', '26202', '26249', '26374', '26356', '26265', '26100', '26354', '26223', '26197', '26337', '26307', '26122', '26268', '26227', '26233', '26411', '26296', '26257', '26404', '26256', '26323', '26341', '26201', '26148', '26242', '26286', '26271', '26355', '26272', '26333', '26128', '26136', '26237', '26158', '26141', '26423', '26139', '26218', '26248'}) and 351 missing columns ({'9671', '9868', '9643', '9625', '9798', '9777', '9839', '9865', '9768', '9711', '9705', '9698', '9870', '9650', '9744', '9762', '9853', '9905', '9827', '9806', '9921', '9825', '9953', '9680', '9746', '9963', '9724', '9774', '9791', '9886', '9690', '9792', '9958', '9624', '9735', '9913', '9871', '9909', '9788', '9742', '9659', '9684', '9685', '9688', '9626', '9814', '9648', '9885', '9719', '9630', '9660', '9736', '9918', '9946', '9854', '9689', '9677', '9891', '9667', '9651', '9776', '9627', '9952', '9753', '9693', '9759', '9882', '9730', '9944', '9635', '9714', '9706', '9903', '9928', '9908', '9949', '9800', '9822', '9726', '9902', '9950', '9923', '9740', '9751', '9819', '9867', '9804', '9842', '9697', '9934', '9872', '9655', '9833', '9699', '9644', '9748', '9957', '9703', '9707', '9731', '9883', '9682', '9745', '9775', '9966', '9665', '9696', '9967', '9712', '9785', '9924', '9770', '9727', '9851', '9738', '9856', '9948', '9824', '9904', '9709', '9816', '9838', '9810', '9873', '9672', '9864', '9633', '9683', '9933', '9675', '9674', '9737', '9890', '9832', '9959', '9769', '9637', '9876', '9620', '9877', '9911', '9844', '9897', '9666', '9656', '9818', '9628', '9773', '9733', '9639', '9752', '9805', '9636', '9852', '9799', '9836', '9917', '9841', '9663', '9829', '9922', '9657', '9869', '9920', '9866', '9889', '9679', '9796', '9893', '9887', '9618', '9808', '9756', '9652', '9669', '9914', '9826', '9896', '9717', '9619', '9642', '9661', '9772', '9936', '9895', '9811', '9802', '9715', '9809', '9942', '9632', '9623', '9760', '9831', '9912', '9686', '9793', '9622', '9702', '9641', '9916', '9927', '9884', '9815', '9765', '9764', '9954', '9722', '9840', '9907', '9716', '9863', '9834', '9968', '9766', '9881', '9850', '9898', '9879', '9676', '9713', '9718', '9771', '9640', '9708', '9947', '9741', '9859', '9668', '9629', '9750', '9755', '9691', '9649', '9910', '9721', '9861', '9720', '9837', '9817', '9790', '9797', '9803', '9951', '9848', '9855', '9670', '9647', '9729', '9919', '9892', '9678', '9704', '9828', '9813', '9646', '9767', '9645', '9634', '9758', '9807', '9801', '9710', '9734', '9732', '9794', '9901', '9673', '9662', '9955', '9940', '9939', '9743', '9763', '9687', '9899', '9964', '9894', '9932', '9749', '9725', '9820', '9935', '9823', '9960', '9787', '9860', '9786', '9915', '9789', '9784', '9783', '9692', '9654', '9782', '9843', '9875', '9931', '9739', '9956', '9846', '9621', '9874', '9754', '9857', '9937', '9812', '9962', '9862', '9945', '9780', '9858', '9938', '9700', '9845', '9664', '9847', '9757', '9723', '9880', '9701', '9930', '9821', '9781', '9694', '9830', '9943', '9747', '9795', '9778', '9926', '9631', '9878', '9728', '9849', '9961', '9900', '9681', '9941', '9638', '9779', '9653', '9835', '9888', '9925', '9906', '9695', '9965', '9929', '9658', '9761'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://GeoKey801_BAND1.csv::/tmp/hf-datasets-cache/medium/datasets/81976467955490-config-parquet-and-info-cjerzak-ImageHeterogeneit-eac37803/downloads/31c3c08f8c084690406cbd7009837d064c53f0451dead47da619fa5ad11a9396
              
              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? Open a discussion for direct support.

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End of preview.

Replication Data for: Image-based Treatment Effect Heterogeneity

Details: UgandaDataProcessed.csv contains individual-level data from the YOP experiment. In the dataset, geo_long and geo_lat refer to the approximate geo-referenced long/lat of experimental units. The variable, geo_long_lat_key, refers to the image key associated with each location. Experimental outcomes are stored in Yobs. Treatment variable is stored in Wobs. See the tutorial for more information.

UgandaGeoKeyMat.csv contains information on keys linking to satellite images for all of Uganda for the transportability analysis.

Geo-referenced satellite images are saved in "./Uganda2000_processed/GeoKey%s_BAND%s.csv", where GeoKey%s denotes the image key associated with each observation and BAND%s refers to one of 3 bands in the satellite imagery.

Paper Reference: Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:531-552, 2023. [PDF]

Code Link: https://github.com/cjerzak/causalimages-software

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