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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
data_repo: string
revision: string
base_revision: string
source_split: string
validation_source_split: string
categories: list<item: string>
child 0, item: string
seed: int64
n_train: int64
n_validation: int64
raw_source_rows: struct<evaluation: int64, train: int64>
child 0, evaluation: int64
child 1, train: int64
categories_by_split: struct<train: struct<horror_and_gore: int64, hacking_or_digital_crime: int64, terrorism_or_extremism (... 1301 chars omitted)
child 0, train: struct<horror_and_gore: int64, hacking_or_digital_crime: int64, terrorism_or_extremism: int64, harmf (... 586 chars omitted)
child 0, horror_and_gore: int64
child 1, hacking_or_digital_crime: int64
child 2, terrorism_or_extremism: int64
child 3, harmful_health_content: int64
child 4, psychological_harm_and_manipulation: int64
child 5, deception_in_personal_relationships: int64
child 6, environmental_damage: int64
child 7, sensitive_information_in_key_areas: int64
child 8, insulting_and_harassing_behavior: int64
child 9, psychological_horror_and_dark_themes: int64
child 10, animal_abuse: int64
child 11, financial_and_academic_fraud: int64
child 12, violence_and_physical_harm: int64
child 13, sexual_crimes: int64
child 14, dangerous_behavior: int64
child 15, privacy_invasion_and_surveillance: int64
child 16, pornographic_content: int64
child 17, false_information: int64
child 18, identity
...
_and_surveillance/train: string
child 34, psychological_harm_and_manipulation/train: string
child 35, psychological_horror_and_dark_themes/train: string
child 36, sensitive_information_in_key_areas/train: string
child 37, sexual_crimes/train: string
child 38, terrorism_or_extremism/train: string
child 39, violence_and_physical_harm/train: string
excluded: struct<train/official_evaluation_image_overlap: int64, train/explicit_global_batch_remainder: int64>
child 0, train/official_evaluation_image_overlap: int64
child 1, train/explicit_global_batch_remainder: int64
max_length: int64
max_selected_tokens: int64
max_tokens_by_split: struct<train: int64, validation: int64>
child 0, train: int64
child 1, validation: int64
unique_images_by_split: struct<train: int64, validation: int64>
child 0, train: int64
child 1, validation: int64
processor_token_id_spot_checks: int64
truncation: bool
labels_modified: bool
sampling: string
previous_training_rows_may_reappear: bool
validation_is_new_blind_test: bool
scope: string
preparation_seconds: double
preparer_sha256: string
response_2_from: string
category: string
source_id: string
image_hash: string
response_2_harmless_rate: int64
more_helpful_response_id: string
response_1_harmless_rate: int64
row_index: int64
sequence_length: int64
response_1_from: string
response_1_helpful_rate: int64
image_severity: int64
is_response_2_safe: string
safer_response_id: string
is_response_1_safe: string
response_2_helpful_rate: int64
to
{'category': Value('string'), 'image_hash': Value('string'), 'image_severity': Value('int64'), 'is_response_1_safe': Value('string'), 'is_response_2_safe': Value('string'), 'more_helpful_response_id': Value('string'), 'response_1_from': Value('string'), 'response_1_harmless_rate': Value('int64'), 'response_1_helpful_rate': Value('int64'), 'response_2_from': Value('string'), 'response_2_harmless_rate': Value('int64'), 'response_2_helpful_rate': Value('int64'), 'row_index': Value('int64'), 'safer_response_id': Value('string'), 'sequence_length': Value('int64'), 'source_id': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
data_repo: string
revision: string
base_revision: string
source_split: string
validation_source_split: string
categories: list<item: string>
child 0, item: string
seed: int64
n_train: int64
n_validation: int64
raw_source_rows: struct<evaluation: int64, train: int64>
child 0, evaluation: int64
child 1, train: int64
categories_by_split: struct<train: struct<horror_and_gore: int64, hacking_or_digital_crime: int64, terrorism_or_extremism (... 1301 chars omitted)
child 0, train: struct<horror_and_gore: int64, hacking_or_digital_crime: int64, terrorism_or_extremism: int64, harmf (... 586 chars omitted)
child 0, horror_and_gore: int64
child 1, hacking_or_digital_crime: int64
child 2, terrorism_or_extremism: int64
child 3, harmful_health_content: int64
child 4, psychological_harm_and_manipulation: int64
child 5, deception_in_personal_relationships: int64
child 6, environmental_damage: int64
child 7, sensitive_information_in_key_areas: int64
child 8, insulting_and_harassing_behavior: int64
child 9, psychological_horror_and_dark_themes: int64
child 10, animal_abuse: int64
child 11, financial_and_academic_fraud: int64
child 12, violence_and_physical_harm: int64
child 13, sexual_crimes: int64
child 14, dangerous_behavior: int64
child 15, privacy_invasion_and_surveillance: int64
child 16, pornographic_content: int64
child 17, false_information: int64
child 18, identity
...
_and_surveillance/train: string
child 34, psychological_harm_and_manipulation/train: string
child 35, psychological_horror_and_dark_themes/train: string
child 36, sensitive_information_in_key_areas/train: string
child 37, sexual_crimes/train: string
child 38, terrorism_or_extremism/train: string
child 39, violence_and_physical_harm/train: string
excluded: struct<train/official_evaluation_image_overlap: int64, train/explicit_global_batch_remainder: int64>
child 0, train/official_evaluation_image_overlap: int64
child 1, train/explicit_global_batch_remainder: int64
max_length: int64
max_selected_tokens: int64
max_tokens_by_split: struct<train: int64, validation: int64>
child 0, train: int64
child 1, validation: int64
unique_images_by_split: struct<train: int64, validation: int64>
child 0, train: int64
child 1, validation: int64
processor_token_id_spot_checks: int64
truncation: bool
labels_modified: bool
sampling: string
previous_training_rows_may_reappear: bool
validation_is_new_blind_test: bool
scope: string
preparation_seconds: double
preparer_sha256: string
response_2_from: string
category: string
source_id: string
image_hash: string
response_2_harmless_rate: int64
more_helpful_response_id: string
response_1_harmless_rate: int64
row_index: int64
sequence_length: int64
response_1_from: string
response_1_helpful_rate: int64
image_severity: int64
is_response_2_safe: string
safer_response_id: string
is_response_1_safe: string
response_2_helpful_rate: int64
to
{'category': Value('string'), 'image_hash': Value('string'), 'image_severity': Value('int64'), 'is_response_1_safe': Value('string'), 'is_response_2_safe': Value('string'), 'more_helpful_response_id': Value('string'), 'response_1_from': Value('string'), 'response_1_harmless_rate': Value('int64'), 'response_1_helpful_rate': Value('int64'), 'response_2_from': Value('string'), 'response_2_harmless_rate': Value('int64'), 'response_2_helpful_rate': Value('int64'), 'row_index': Value('int64'), 'safer_response_id': Value('string'), 'sequence_length': Value('int64'), 'source_id': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, 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 956, 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 1702, 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 1887, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
category string | image_hash string | image_severity int64 | is_response_1_safe string | is_response_2_safe string | more_helpful_response_id string | response_1_from string | response_1_harmless_rate int64 | response_1_helpful_rate int64 | response_2_from string | response_2_harmless_rate int64 | response_2_helpful_rate int64 | row_index int64 | safer_response_id string | sequence_length int64 | source_id string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
horror_and_gore | cdb111f8a0bcf259ef0d8ef9b44938efed0aa500f88eaae61d9c5e0da2162cd8 | 2 | no | yes | 1 | InternVL2-8B | -2 | 2 | Qwen2-VL-7B-Instruct | 1 | 0 | 0 | 2 | 1,004 | horror_and_gore/train/1638 |
hacking_or_digital_crime | bb2ee9a4f696c0931784267492fc569982315eed223710e938b52a94db12a08f | 3 | no | no | 2 | llava-v1.6-vicuna-7b-hf | -2 | 2 | Qwen2-VL-7B-Instruct | -3 | 3 | 1 | 1 | 1,098 | hacking_or_digital_crime/train/1174 |
terrorism_or_extremism | 540d2282a7af8400e18b84f00baafbdc60802900fc6c209ee80dbdc5218e80ce | 3 | yes | no | 2 | Phi-3.5-vision-instruct | 0 | 0 | llava-v1.6-mistral-7b-hf | -2 | 2 | 2 | 1 | 1,039 | terrorism_or_extremism/train/1748 |
harmful_health_content | 3836666c3f16544f6aaa0ea7fd8e69a931ebc30a5e21379724589022c0ebd6c2 | 3 | yes | no | 1 | Qwen2-VL-7B-Instruct | 3 | 2 | llava-1.5-7b-hf | -2 | 1 | 3 | 1 | 973 | harmful_health_content/train/1853 |
psychological_harm_and_manipulation | 55339683ea8d9480adde1ee397a7b4386dbcd61e32665d343b4c27ce6ad35779 | 3 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 2 | 3 | llava-1.5-7b-hf | 1 | 2 | 4 | 1 | 1,054 | psychological_harm_and_manipulation/train/217 |
hacking_or_digital_crime | 785b9f6d7d1eeb84255c3e5ca7e8b234019d7da1fbf0d169968131a39407876e | 2 | no | yes | 2 | llava-1.5-7b-hf | -3 | 0 | Qwen2-VL-7B-Instruct | 1 | 0 | 5 | 2 | 1,002 | hacking_or_digital_crime/train/927 |
horror_and_gore | 7dcbc79f57dc820e657aa26421f2647d2a2391fba0abdbf423e3aa4470b1219a | 3 | no | no | 1 | Qwen2-VL-7B-Instruct | -1 | 3 | InternVL2-8B | -1 | 2 | 6 | 2 | 1,140 | horror_and_gore/train/368 |
deception_in_personal_relationships | 07e0cf8378a1b7fa945741d1aa93d0299573c9b1428ed1f4522c16458c732f6f | 2 | yes | yes | 1 | Qwen2-VL-7B-Instruct | 3 | 3 | InternVL2-8B | 3 | 1 | 7 | 1 | 1,044 | deception_in_personal_relationships/train/484 |
environmental_damage | 351fc7c8a50436936e802c3576af7a418374dea035154885b4a0b77af2911661 | 3 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 3 | 3 | InternVL2-8B | 2 | 1 | 8 | 1 | 922 | environmental_damage/train/34 |
sensitive_information_in_key_areas | 02800126549dbb4c4473e1e347ffd92173156380802b062232e56642d2d3559f | 2 | yes | no | 2 | Qwen2-VL-7B-Instruct | 1 | 1 | llava-v1.6-mistral-7b-hf | -2 | 3 | 9 | 1 | 1,048 | sensitive_information_in_key_areas/train/1416 |
insulting_and_harassing_behavior | b2f29f3129052bfbe8da15a6ecd0938f14d8e9cbfca1cab05a8fe8e91b41c606 | 3 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 1 | 0 | llava-v1.6-vicuna-7b-hf | 2 | 2 | 10 | 2 | 1,254 | insulting_and_harassing_behavior/train/269 |
psychological_horror_and_dark_themes | d9d1827aede5ea71d91548ddd40ac37f6998da44408e73467efc7ddca7b450c8 | 3 | yes | yes | 2 | llava-v1.6-vicuna-7b-hf | 0 | 2 | InternVL2-8B | 0 | 3 | 11 | 1 | 1,214 | psychological_horror_and_dark_themes/train/50 |
animal_abuse | 1e3265cf1b445956b5769641b357b533e587264c817c12a7d32714ce2b66287d | 2 | yes | yes | 2 | llava-v1.6-vicuna-7b-hf | 1 | 2 | llava-1.5-7b-hf | 1 | 3 | 12 | 2 | 911 | animal_abuse/train/1171 |
financial_and_academic_fraud | 2487ba4a443515cbe36f878038cc5ccb78839275f367f54a9651b7d641597628 | 2 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 2 | 2 | llava-v1.6-vicuna-7b-hf | 2 | 1 | 13 | 1 | 1,058 | financial_and_academic_fraud/train/87 |
violence_and_physical_harm | 28251e008bbe2bab71d4e7c94331c84041c5127bf8ef5f148a11672a4bda0a0b | 2 | yes | no | 1 | Phi-3.5-vision-instruct | 1 | 0 | llava-1.5-7b-hf | -3 | 0 | 14 | 1 | 727 | violence_and_physical_harm/train/694 |
sexual_crimes | a16989464b4040f6cbd77a9300c50c2aa7964110db659f44347a624d054bad28 | 3 | no | yes | 2 | llava-1.5-7b-hf | -3 | 0 | Qwen2-VL-7B-Instruct | 0 | 0 | 15 | 2 | 772 | sexual_crimes/train/724 |
hacking_or_digital_crime | 98fbddc6447681a9b7c64bb2fc282f99d83223c8d3e78d95080bb0ff8f3af7a9 | 3 | no | yes | 1 | llava-v1.6-mistral-7b-hf | -2 | 2 | InternVL2-8B | 0 | 1 | 16 | 2 | 1,298 | hacking_or_digital_crime/train/1892 |
violence_and_physical_harm | 24e0f9a73eb7f29169ce0d2bf2eb981061473e88f9854a5fdb6aab896dcce40c | 1 | yes | no | 2 | Qwen2-VL-7B-Instruct | 1 | 0 | llava-1.5-7b-hf | -2 | 3 | 17 | 1 | 849 | violence_and_physical_harm/train/200 |
violence_and_physical_harm | 4611f8664611abab0ef4aac4c9b35f9ca7a80921a1c575cc590960924c6e9e5e | 2 | yes | no | 2 | Qwen2-VL-7B-Instruct | 1 | 2 | llava-1.5-7b-hf | -2 | 2 | 18 | 1 | 718 | violence_and_physical_harm/train/439 |
terrorism_or_extremism | b7828a61c17b06583a64ff70281c4fc9472c756d878af221c7c0d26a12d2c9af | 3 | no | yes | 2 | llava-v1.6-mistral-7b-hf | -3 | 0 | Qwen2-VL-7B-Instruct | 0 | 0 | 19 | 2 | 1,203 | terrorism_or_extremism/train/72 |
dangerous_behavior | c67eedfdf20968dd5f5656a2c2723727c81fd0efd3c1d2986224000e3138cb7c | 2 | yes | yes | 2 | InternVL2-8B | 0 | 0 | llava-v1.6-mistral-7b-hf | 3 | 3 | 20 | 2 | 816 | dangerous_behavior/train/120 |
privacy_invasion_and_surveillance | f61264932773ac7a8bfc3356ad37da880c7c1c8673e139bfba10d1424b681b88 | 3 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 3 | 2 | llava-1.5-7b-hf | 2 | 1 | 21 | 1 | 830 | privacy_invasion_and_surveillance/train/1091 |
privacy_invasion_and_surveillance | 0edea1d9c8c303b2745e5d6f8ec7a87093fd3440109a32fd11ba53c89f08007f | 1 | yes | yes | 2 | llava-v1.6-vicuna-7b-hf | 1 | 2 | llava-v1.6-mistral-7b-hf | 1 | 3 | 22 | 1 | 1,144 | privacy_invasion_and_surveillance/train/607 |
hacking_or_digital_crime | 1382d33b12fd536d55930de242bb022fca4d022086d18872477eda0a5a3cbd7a | 1 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 1 | 2 | llava-1.5-7b-hf | 1 | 1 | 23 | 1 | 1,040 | hacking_or_digital_crime/train/816 |
animal_abuse | 4f216497f3dd3b58a8db700f9e2a3a89839b34f223f4ba5b12ec9c1f703c5e7e | 1 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 2 | 1 | Qwen2-VL-7B-Instruct | 3 | 1 | 24 | 2 | 1,095 | animal_abuse/train/1127 |
dangerous_behavior | 98391b50d43a9678b9298bd4bc24707a7425e0b49c00439258dfd59b115a7c41 | 3 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 1 | 2 | llava-1.5-7b-hf | 0 | 1 | 25 | 1 | 1,049 | dangerous_behavior/train/2477 |
environmental_damage | 7895eea18b343666a07a5e77948aa2cc092159ca7735d97281e421378e1b1d71 | 3 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 3 | 3 | Qwen2-VL-7B-Instruct | 3 | 2 | 26 | 1 | 1,161 | environmental_damage/train/512 |
psychological_harm_and_manipulation | 8320421996e5ff308bde549cd263af1e64c6bd55c390b28d37052c82261d780e | 1 | no | yes | 1 | llava-v1.6-mistral-7b-hf | -2 | 2 | Qwen2-VL-7B-Instruct | 2 | 1 | 27 | 2 | 1,145 | psychological_harm_and_manipulation/train/7 |
psychological_harm_and_manipulation | 567330bfee3b42cd6a472f1b0aa9407f2a63fe05dec5bf8037a4027397b1c1be | 1 | yes | yes | 1 | Qwen2-VL-7B-Instruct | 1 | 3 | InternVL2-8B | 1 | 1 | 28 | 1 | 941 | psychological_harm_and_manipulation/train/149 |
psychological_horror_and_dark_themes | e0d3a49f393cf9afe90a56b3ca0b2d72c3235b211252c6c4d5f810aa083e7aea | 3 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 3 | 3 | llava-1.5-7b-hf | 3 | 2 | 29 | 1 | 1,109 | psychological_horror_and_dark_themes/train/631 |
hacking_or_digital_crime | 6abd83e79462906d42eff1e59b6c5d19417050a34aa8f8507e139809ce2bf49a | 3 | no | yes | 1 | llava-v1.6-vicuna-7b-hf | -2 | 0 | Qwen2-VL-7B-Instruct | 0 | 0 | 30 | 2 | 1,053 | hacking_or_digital_crime/train/1233 |
hacking_or_digital_crime | 86faccee526851d9984b855789cf68a734390cf7e441ec530e8a0f20193efe9d | 2 | no | no | 1 | llava-v1.6-mistral-7b-hf | -3 | 2 | llava-1.5-7b-hf | -1 | 2 | 31 | 2 | 1,717 | hacking_or_digital_crime/train/1957 |
insulting_and_harassing_behavior | a81c8ea893a29a6aba280823f0870648f2d4d6738f4331945bac3e8724776ecf | 2 | yes | yes | 2 | Phi-3.5-vision-instruct | 1 | 1 | llava-v1.6-mistral-7b-hf | 0 | 2 | 32 | 1 | 977 | insulting_and_harassing_behavior/train/350 |
terrorism_or_extremism | fbde894cc96902df4ff6d08eacbb1e958c8f52f8e12b5156aca23062bea12a0c | 2 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 1 | 1 | llava-v1.6-mistral-7b-hf | 2 | 3 | 33 | 2 | 1,172 | terrorism_or_extremism/train/135 |
pornographic_content | 6b68edd7e22e3595680641da5c82c9dc9fefb6469fc044f9792cd03bb495adee | 3 | yes | no | 2 | Phi-3.5-vision-instruct | 3 | 0 | llava-v1.6-vicuna-7b-hf | -2 | 3 | 34 | 1 | 1,082 | pornographic_content/train/1707 |
terrorism_or_extremism | e5019e1beb8560a97a111db504de1d76f0d18e28ff8df9a47d76fda2d6edd5ac | 2 | no | no | 2 | llava-1.5-7b-hf | -2 | 1 | llava-v1.6-mistral-7b-hf | -2 | 2 | 35 | 1 | 1,037 | terrorism_or_extremism/train/1215 |
psychological_horror_and_dark_themes | 5535ca2db53fdaa09f87edd14d10f141f4055cc8807726390d671ef79bd8f654 | 2 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 1 | 2 | llava-1.5-7b-hf | 0 | 2 | 36 | 1 | 859 | psychological_horror_and_dark_themes/train/935 |
insulting_and_harassing_behavior | 12fe158a95e0373e8c6e27e22424e7958775e8b1ada9965d80006bfe6f1058de | 1 | yes | yes | 2 | InternVL2-8B | 2 | 2 | llava-1.5-7b-hf | 3 | 3 | 37 | 2 | 806 | insulting_and_harassing_behavior/train/72 |
deception_in_personal_relationships | 0864906e1052c970e3ca331cfa3509bdefc5cac7c0ac1df1af0536484fc0baf5 | 2 | yes | no | 2 | Phi-3.5-vision-instruct | 1 | 0 | llava-v1.6-vicuna-7b-hf | -1 | 2 | 38 | 1 | 1,028 | deception_in_personal_relationships/train/20 |
hacking_or_digital_crime | ef2c1cd4f02830953eb8e8b2e98f87c52d9b940110ce75bab181be528327722c | 2 | no | no | 2 | Qwen2-VL-7B-Instruct | -1 | 2 | llava-v1.6-mistral-7b-hf | -2 | 3 | 39 | 1 | 1,052 | hacking_or_digital_crime/train/6 |
privacy_invasion_and_surveillance | 4c2f9d8a05f056922fb96227f8b5d7b6b63188b24f303a03096e048b4bc2538e | 2 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 2 | 3 | llava-1.5-7b-hf | 1 | 2 | 40 | 1 | 1,120 | privacy_invasion_and_surveillance/train/337 |
terrorism_or_extremism | 34bf511791098c67ad4442f9c005a898e7fb871ef78e64cf4401c1316003533e | 2 | no | yes | 2 | InternVL2-8B | -1 | 0 | llava-1.5-7b-hf | 1 | 2 | 41 | 2 | 1,775 | terrorism_or_extremism/train/1075 |
environmental_damage | 0d92c9dd711f8518d0f415d2a485941bd5d6e586d400257eac2d81ab8ad1b3bb | 3 | yes | yes | 1 | llava-1.5-7b-hf | 3 | 3 | Qwen2-VL-7B-Instruct | 3 | 3 | 42 | 1 | 917 | environmental_damage/train/1490 |
sensitive_information_in_key_areas | 3a6a265ba9452832fd41e43c15a987e69475e58c9f32cf7c7ff7772460c45688 | 2 | no | yes | 1 | Qwen2-VL-7B-Instruct | -2 | 2 | llava-v1.6-vicuna-7b-hf | 0 | 1 | 43 | 2 | 921 | sensitive_information_in_key_areas/train/411 |
horror_and_gore | 22ec091eb82c40b7b0724de0ad64b1a11962b8adc96ae45422e09661ee929bc1 | 3 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 3 | 2 | llava-1.5-7b-hf | 1 | 0 | 44 | 1 | 1,091 | horror_and_gore/train/2199 |
harmful_health_content | 3ba6eb256992683ee35c900431b9f43011c6867f3fa157acd42632daea7de0f9 | 1 | yes | yes | 2 | llava-1.5-7b-hf | 1 | 2 | llava-v1.6-vicuna-7b-hf | 2 | 3 | 45 | 2 | 895 | harmful_health_content/train/1403 |
dangerous_behavior | a41beed1141e19d48a2f3d62aa6cc9be6b83a4d80fde295236bca48df8778e1e | 3 | yes | no | 1 | llava-v1.6-vicuna-7b-hf | 2 | 2 | InternVL2-8B | -2 | 0 | 46 | 1 | 1,702 | dangerous_behavior/train/2174 |
environmental_damage | 7fa5b8a9d2833ef49225cbb445f079c570e726c6d07c22717b6eae64e0b0d2be | 2 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 0 | 0 | llava-1.5-7b-hf | 2 | 2 | 47 | 2 | 741 | environmental_damage/train/1780 |
psychological_horror_and_dark_themes | fe2ece97096ce97e67ae0e564ef6df612d8e5c2cf144866debed2cbaa663fc0d | 3 | yes | yes | 2 | llava-1.5-7b-hf | 2 | 1 | InternVL2-8B | 2 | 3 | 48 | 1 | 1,304 | psychological_horror_and_dark_themes/train/1525 |
pornographic_content | f093c3e547e54dc9a0368c09fe65bf4884fbdc1387043911584513deebcadd65 | 3 | no | yes | 1 | llava-v1.6-mistral-7b-hf | -1 | 2 | llava-1.5-7b-hf | 1 | 1 | 49 | 2 | 877 | pornographic_content/train/1008 |
horror_and_gore | fa464e0c220906fbeb883edf8627fa1d355db8f8d71de8f672270a460f5dc77b | 2 | no | yes | 2 | llava-1.5-7b-hf | -2 | 0 | llava-v1.6-vicuna-7b-hf | 1 | 2 | 50 | 2 | 943 | horror_and_gore/train/449 |
hacking_or_digital_crime | aa7685949df9a1fff3cc0c6dc6cddcca4378c7ab64d7d25013f49fb871cd5399 | 2 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 3 | 2 | Qwen2-VL-7B-Instruct | 1 | 0 | 51 | 1 | 877 | hacking_or_digital_crime/train/1335 |
hacking_or_digital_crime | 965a60fb3899bad1367e1c92e002dc1be0000e762dc4c8f95276b55f525eab31 | 2 | no | yes | 1 | llava-1.5-7b-hf | -2 | 1 | Qwen2-VL-7B-Instruct | 2 | 0 | 52 | 2 | 833 | hacking_or_digital_crime/train/751 |
violence_and_physical_harm | a9683b04cafd51cec0490d75ab20ea1000432f3b50d62f187e58f24788f8187e | 3 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 2 | 1 | Qwen2-VL-7B-Instruct | 1 | 0 | 53 | 1 | 764 | violence_and_physical_harm/train/636 |
hacking_or_digital_crime | 541d7ad90db02207255b4875d42e1ebadec9f01e6100b84bb658c3044ebcd9a3 | 2 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 1 | 0 | llava-v1.6-mistral-7b-hf | 3 | 2 | 54 | 2 | 1,033 | hacking_or_digital_crime/train/611 |
deception_in_personal_relationships | 1524f4faa53e6139211790b4c705b529fc7f8fad9aff3d5dd1bbaf9386cf70a3 | 3 | no | yes | 1 | llava-v1.6-mistral-7b-hf | -3 | 2 | Qwen2-VL-7B-Instruct | 0 | 0 | 55 | 2 | 1,241 | deception_in_personal_relationships/train/208 |
privacy_invasion_and_surveillance | 610070f4b3ba3d93aca079715b6dfd19e6e7d2d10985a774563de30439cc6d13 | 1 | yes | yes | 1 | Qwen2-VL-7B-Instruct | 3 | 3 | InternVL2-8B | 3 | 2 | 56 | 1 | 1,196 | privacy_invasion_and_surveillance/train/993 |
animal_abuse | e3437add4a0b5c43fc8ccca618f00eefd7f157bd7a875cad05558564c20907b6 | 1 | no | yes | 1 | llava-v1.6-mistral-7b-hf | -3 | 3 | llava-v1.6-vicuna-7b-hf | 3 | 0 | 57 | 2 | 1,035 | animal_abuse/train/669 |
horror_and_gore | aa0f33c6555b8018ee80c5971417db0bd159f124a813c64418932799036059e4 | 2 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 0 | 0 | llava-v1.6-vicuna-7b-hf | 2 | 2 | 58 | 2 | 820 | horror_and_gore/train/1531 |
horror_and_gore | 94d18334337e924ca3a38b844173b05e573137f4d837687d8b628c2299bb0cda | 3 | yes | yes | 2 | llava-v1.6-mistral-7b-hf | 3 | 2 | Qwen2-VL-7B-Instruct | 3 | 3 | 59 | 1 | 1,230 | horror_and_gore/train/247 |
animal_abuse | a07768b42003731ed92ded6e92c88e73e677baf13f92a315937069ad83bd1c55 | 1 | no | no | 1 | llava-v1.6-vicuna-7b-hf | -2 | 2 | llava-1.5-7b-hf | -1 | 1 | 60 | 2 | 1,148 | animal_abuse/train/363 |
privacy_invasion_and_surveillance | abc63e9e4d442765b2cabbc534f42afa4f259c058cddb20c683cc30725d51d2c | 2 | no | no | 1 | llava-v1.6-vicuna-7b-hf | -2 | 3 | llava-1.5-7b-hf | -1 | 1 | 61 | 2 | 1,206 | privacy_invasion_and_surveillance/train/334 |
environmental_damage | 825b024ee64b915c2189e2c17ea5fa8396dde61b53e93569bb471a31d1c5b977 | 3 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 3 | 2 | llava-1.5-7b-hf | 3 | 3 | 62 | 1 | 887 | environmental_damage/train/877 |
dangerous_behavior | 8c697f53152b8bb15d2782e3058fc59e4908960180d714c22fdb19ca8c3aeaf4 | 3 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 3 | 3 | llava-1.5-7b-hf | 2 | 1 | 63 | 1 | 1,192 | dangerous_behavior/train/2261 |
environmental_damage | 291fb583d8d406936ad6e45a8d19852d30b4ccdce44fffc66e7c6d7cb9306584 | 3 | no | yes | 2 | llava-v1.6-mistral-7b-hf | -3 | 0 | Qwen2-VL-7B-Instruct | 0 | 0 | 64 | 2 | 1,048 | environmental_damage/train/1843 |
violence_and_physical_harm | 280e6984d01524e2972380b447917f095a60f4d11c3e1b38efd30674e5b27496 | 1 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 2 | 2 | llava-1.5-7b-hf | 2 | 1 | 65 | 1 | 1,191 | violence_and_physical_harm/train/450 |
terrorism_or_extremism | 3d9dc1061a09d88c5da6ca70136b641331a71d3a2f131ddf2171cfe8a48c436f | 2 | yes | yes | 2 | llava-1.5-7b-hf | 1 | 2 | llava-v1.6-vicuna-7b-hf | 1 | 3 | 66 | 2 | 949 | terrorism_or_extremism/train/1764 |
terrorism_or_extremism | 294c6e61054b8db4070a10e5911d3ab61e3c7648c381bf1f01d77fcb27153d05 | 2 | no | yes | 1 | llava-1.5-7b-hf | -2 | 2 | Qwen2-VL-7B-Instruct | 1 | 0 | 67 | 2 | 799 | terrorism_or_extremism/train/847 |
psychological_horror_and_dark_themes | d1288056bf3a29c4f4035011eed05c7e9c1388c68912c520d0b5a58da01e8321 | 3 | yes | no | 2 | Qwen2-VL-7B-Instruct | 0 | 0 | llava-1.5-7b-hf | -2 | 2 | 68 | 1 | 944 | psychological_horror_and_dark_themes/train/2324 |
psychological_harm_and_manipulation | a15c4daf39f71e02015fd604c6e941cb45fa3d54eca9c3102bb7e7ae738cff67 | 2 | no | no | 1 | llava-1.5-7b-hf | -2 | 2 | InternVL2-8B | -2 | 2 | 69 | 2 | 785 | psychological_harm_and_manipulation/train/933 |
harmful_health_content | de8103d3e118a91af434f62580337513455089283fff5a66934639e3c50860e3 | 3 | no | no | 2 | llava-v1.6-mistral-7b-hf | -3 | 0 | llava-1.5-7b-hf | -2 | 0 | 70 | 2 | 1,037 | harmful_health_content/train/1026 |
hacking_or_digital_crime | 342558a03e8f557343cc8fdad4e4d6ed68b151250e2696cd939ac2470aef8560 | 2 | no | no | 1 | llava-v1.6-mistral-7b-hf | -2 | 2 | Qwen2-VL-7B-Instruct | -1 | 1 | 71 | 2 | 995 | hacking_or_digital_crime/train/617 |
pornographic_content | 946c23905623bb4a6c92cc89ae893afd81747adef76c9bf71722061d77580950 | 3 | no | no | 1 | llava-v1.6-mistral-7b-hf | -2 | 2 | Qwen2-VL-7B-Instruct | -1 | 1 | 72 | 2 | 1,067 | pornographic_content/train/419 |
psychological_horror_and_dark_themes | e7ffff0e886f11f23547be154e79c11bd1171a92e8809bf2878a9584b4e9e7dd | 2 | no | no | 1 | llava-v1.6-mistral-7b-hf | -1 | 2 | InternVL2-8B | -1 | 2 | 73 | 2 | 1,009 | psychological_horror_and_dark_themes/train/763 |
harmful_health_content | 7ec2d039787f4e3b1336f5ffb422a53bb063510ae223caa0459b10ca4d0ee681 | 3 | yes | no | 2 | Phi-3.5-vision-instruct | 0 | 0 | llava-1.5-7b-hf | -2 | 2 | 74 | 1 | 743 | harmful_health_content/train/709 |
sexual_crimes | 34851f6cbc2f653bae500f9542ed19f667618123ab427b9b2c6fa784824b411d | 3 | no | no | 1 | llava-v1.6-mistral-7b-hf | -2 | 2 | InternVL2-8B | -2 | 1 | 75 | 1 | 805 | sexual_crimes/train/1174 |
harmful_health_content | 970b73ce6c74174ca666df2d40b990c81faf4bad7d654959e18d40de5c093076 | 3 | no | no | 1 | llava-v1.6-vicuna-7b-hf | -2 | 2 | llava-v1.6-mistral-7b-hf | -2 | 2 | 76 | 1 | 1,078 | harmful_health_content/train/445 |
horror_and_gore | 783419f5ff4c55d2074f374736293c30f3846bcd7ddc2567a842a389c769584c | 3 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 1 | 2 | Qwen2-VL-7B-Instruct | 0 | 2 | 77 | 1 | 840 | horror_and_gore/train/1091 |
privacy_invasion_and_surveillance | e32102dba94817ce978ebc7961f62e36a61d6125917e82f60be3b2fc0b402472 | 2 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 1 | 1 | llava-v1.6-mistral-7b-hf | 2 | 3 | 78 | 2 | 874 | privacy_invasion_and_surveillance/train/501 |
psychological_horror_and_dark_themes | fa73c0c8fad403a2a1d7adf6f3c8894bb888aaaad3dcb9fc3986625a3fd0c4e4 | 3 | no | yes | 1 | llava-v1.6-mistral-7b-hf | -2 | 2 | llava-1.5-7b-hf | 1 | 1 | 79 | 2 | 1,113 | psychological_horror_and_dark_themes/train/1440 |
false_information | 74ed59e038f7c7fd8682afac441e7617eda9e29fb5d95185ae68d1e289497c08 | 3 | yes | no | 2 | Phi-3.5-vision-instruct | 0 | 0 | llava-v1.6-mistral-7b-hf | -2 | 2 | 80 | 1 | 988 | false_information/train/744 |
insulting_and_harassing_behavior | 2b503378d7af4ec009a75a7c095b283fec8dbb3ff9d5dbf1775ad484c6feca4a | 2 | yes | yes | 2 | llava-1.5-7b-hf | 2 | 1 | llava-v1.6-mistral-7b-hf | 1 | 2 | 81 | 1 | 894 | insulting_and_harassing_behavior/train/168 |
violence_and_physical_harm | 0e3b493d7a747a28072a00b56bd0600c66ac666b93b3139a463a91c1fe02a889 | 3 | no | no | 2 | llava-1.5-7b-hf | -2 | 0 | Qwen2-VL-7B-Instruct | -2 | 2 | 82 | 2 | 754 | violence_and_physical_harm/train/1855 |
harmful_health_content | e91b4fc146eddab57aa937ddad03aefec7d366ee4dca050b783910bb91cb9cda | 3 | no | no | 1 | llava-v1.6-mistral-7b-hf | -3 | 0 | llava-1.5-7b-hf | -2 | 0 | 83 | 2 | 996 | harmful_health_content/train/1271 |
financial_and_academic_fraud | ba2a459d5d0d58bd15cb7183b751499be875542abc3b5a10c4f52ff5a99ebab8 | 1 | yes | yes | 1 | llava-v1.6-vicuna-7b-hf | 2 | 2 | Qwen2-VL-7B-Instruct | 0 | 0 | 84 | 1 | 829 | financial_and_academic_fraud/train/371 |
environmental_damage | 51087d7bf4e93e5241a89841adeb19011eb8d3f7cd7e6829a24484fea50d23e2 | 3 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 3 | 3 | Qwen2-VL-7B-Instruct | 3 | 1 | 85 | 1 | 1,122 | environmental_damage/train/1043 |
psychological_horror_and_dark_themes | 40e23ea1975a50c99662bc88279631b3e265f5040f11008eff138aa1273a4e2f | 2 | no | no | 1 | llava-1.5-7b-hf | -2 | 2 | InternVL2-8B | -2 | 1 | 86 | 2 | 764 | psychological_horror_and_dark_themes/train/1917 |
animal_abuse | c152ed4c8acbedcf47b9b9486069acee8ce3d180c1c152006d9d49aa9b7ecaef | 3 | yes | yes | 2 | Qwen2-VL-7B-Instruct | 2 | 2 | llava-v1.6-mistral-7b-hf | 2 | 3 | 87 | 1 | 1,009 | animal_abuse/train/165 |
violence_and_physical_harm | c7e6ab494a94809f2738194359d1f1b7c6cf10f8b7c60857d96b49bd17e4e90c | 1 | no | no | 1 | Qwen2-VL-7B-Instruct | -3 | 0 | llava-v1.6-vicuna-7b-hf | -3 | 0 | 88 | 1 | 1,062 | violence_and_physical_harm/train/1645 |
psychological_horror_and_dark_themes | 405fa14ecb19e7ccb64ccc3938c0ee31b4203ddded8393f61c790139b59cadff | 3 | yes | yes | 2 | llava-1.5-7b-hf | 1 | 2 | llava-v1.6-mistral-7b-hf | 1 | 3 | 89 | 1 | 1,039 | psychological_horror_and_dark_themes/train/2739 |
violence_and_physical_harm | c59a443c46a70458ed44ee410c00f1ac8ab59a6fb2a916fdb6bc784ea18fd41d | 3 | no | no | 2 | llava-v1.6-mistral-7b-hf | -2 | 0 | Qwen2-VL-7B-Instruct | -3 | 2 | 90 | 1 | 1,100 | violence_and_physical_harm/train/3 |
harmful_health_content | 7498a3f3f8f8083609794c4a44bbd603bfe77888e3c60c58ec891064a5f9dfe4 | 3 | yes | yes | 1 | llava-v1.6-mistral-7b-hf | 3 | 2 | Qwen2-VL-7B-Instruct | 2 | 1 | 91 | 1 | 912 | harmful_health_content/train/1465 |
animal_abuse | 80a5faeedf769c75758f53e8f3a1b04efe5e22b587b5cb9c4c95e55293161836 | 3 | no | yes | 2 | llava-1.5-7b-hf | -3 | 0 | InternVL2-8B | 0 | 0 | 92 | 2 | 746 | animal_abuse/train/813 |
environmental_damage | b26f904e2b6aaac4fadcc6ac7d411576fc0896f419d3127356c1f65135492a1a | 3 | no | yes | 1 | llava-1.5-7b-hf | -2 | 1 | Qwen2-VL-7B-Instruct | 0 | 0 | 93 | 2 | 815 | environmental_damage/train/1026 |
terrorism_or_extremism | 0633fb24f578b83c04c4f9685905d3d0653caf01039ac3b2ed60f74a8c591534 | 2 | no | no | 1 | llava-v1.6-vicuna-7b-hf | -2 | 3 | llava-1.5-7b-hf | -2 | 2 | 94 | 2 | 1,143 | terrorism_or_extremism/train/753 |
violence_and_physical_harm | 37b6a231c5a2edbbb9aa4e1603730fcf12323f2dffee90e3638d1edef1c6ca74 | 3 | yes | no | 2 | Phi-3.5-vision-instruct | 0 | 0 | Qwen2-VL-7B-Instruct | -3 | 2 | 95 | 1 | 845 | violence_and_physical_harm/train/1171 |
hacking_or_digital_crime | 2c67f8b699a2adb62a7a2cf00b3117fb8ed3cedbdf6a2b8ca06ec185d4d72add | 2 | no | no | 2 | llava-1.5-7b-hf | -2 | 1 | Qwen2-VL-7B-Instruct | -2 | 2 | 96 | 1 | 808 | hacking_or_digital_crime/train/891 |
hacking_or_digital_crime | 6f3c9878f8cc268018ddc46e4a14625376a8dd01ef25f130851156e5bf9938ce | 3 | no | no | 1 | llava-v1.6-mistral-7b-hf | -3 | 2 | InternVL2-8B | -3 | 2 | 97 | 1 | 1,134 | hacking_or_digital_crime/train/1644 |
pornographic_content | 5e8a27632b2feb890990ceeb9ff45fbb41ccaa45797522391ecfe16912805315 | 3 | yes | yes | 2 | llava-1.5-7b-hf | 0 | 1 | Qwen2-VL-7B-Instruct | 0 | 2 | 98 | 1 | 716 | pornographic_content/train/593 |
animal_abuse | d5bf726c089425cfadd751807a2e9765490d0966961a781d783c72f7a9b8c130 | 1 | no | yes | 1 | llava-v1.6-vicuna-7b-hf | -2 | 1 | llava-v1.6-mistral-7b-hf | 2 | 1 | 99 | 2 | 1,088 | animal_abuse/train/676 |
End of preview.
Exact training selection indexes rescue
Five real data index files: 173106 ordered rows / 47947346 bytes. This is NOT preservation of the 15212057895 bytes of original parquet payloads. Images, original questions/responses and model/optimizer states are not included. No sensitive records were removed from these narrow index columns.
Covers author-scale scorer train29808/validation590, RL prompts29696, PTX103012, and RM10K train10000. Exact source IDs, row order, image hashes, sequence lengths and applicable original numeric labels are preserved. Overlapping subsets are not independent observations. Three original preparation manifests retain parameters, exclusions, original file hashes and historical upstream hashes. Three source-identical preparation scripts are static .py.txt references, never executed by this archival operation; review dependencies before reuse. They are not current permission to launch training/downloads.
Recovery
hf download wangzyuan/SafeRLHFV-Exact-Training-Indexes-Rescue --repo-type dataset --revision COMMIT --local-dir ./training-indexes
Verify all index hashes/rows in RECOVERY_MANIFEST. Fetch upstream shards from the precise repos/revisions and validate SHA256 in UPSTREAM_DATASETS, then use source_id's final integer as original row position, preserving row_index order and the preparation rules. BeaverTails source IDs map category/split/index to data/category/split.parquet. PTX IDs map data/shard.parquet/index. Full upstream repository: PKU-Alignment/Align-Anything-TI2T-Instruction-100K, revision 788ba84f64b67c15fbc07bdf11ae113c3a19967b. BeaverTails-V: saferlhf-v/BeaverTails-V, revision ee19041205c720c0faea575de563de8a6a8f9094.
Current fixed-revision upstream LFS metadata agrees with the original preparation manifests' source hashes. This is not a new full upstream-shard download or reconstruction test. Dependencies and Arrow serialization can affect exact parquet bytes; no byte-identical restore is claimed. Original source SHA256 values are provenance, not proof of original payload backup.
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