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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'json_schema' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 583, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'json_schema' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2029, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'json_schema' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1396, 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 1045, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2040, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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temp
float64
temperature_last
bool
top_p
float64
top_k
int64
top_a
int64
tfs
int64
epsilon_cutoff
int64
eta_cutoff
int64
typical_p
int64
min_p
float64
rep_pen
int64
rep_pen_range
int64
rep_pen_decay
int64
rep_pen_slope
int64
no_repeat_ngram_size
int64
penalty_alpha
int64
num_beams
int64
length_penalty
int64
min_length
int64
encoder_rep_pen
int64
freq_pen
int64
presence_pen
int64
skew
int64
do_sample
bool
early_stopping
bool
dynatemp
bool
min_temp
int64
max_temp
int64
dynatemp_exponent
int64
smoothing_factor
int64
smoothing_curve
int64
dry_allowed_length
int64
dry_multiplier
float64
dry_base
float64
dry_sequence_breakers
string
dry_penalty_last_n
int64
add_bos_token
bool
ban_eos_token
bool
skip_special_tokens
bool
mirostat_mode
int64
mirostat_tau
int64
mirostat_eta
float64
guidance_scale
int64
negative_prompt
string
grammar_string
string
json_schema
dict
banned_tokens
string
sampler_priority
sequence
samplers
sequence
ignore_eos_token
bool
spaces_between_special_tokens
bool
speculative_ngram
bool
sampler_order
sequence
logit_bias
sequence
ignore_eos_token_aphrodite
bool
spaces_between_special_tokens_aphrodite
bool
rep_pen_size
int64
genamt
int64
max_length
int64
story_string
string
example_separator
string
chat_start
string
use_stop_strings
bool
allow_jailbreak
bool
names_as_stop_strings
bool
always_force_name2
bool
trim_sentences
bool
include_newline
bool
single_line
bool
name
string
system_prompt
string
input_sequence
string
output_sequence
string
last_output_sequence
string
system_sequence
string
stop_sequence
string
wrap
bool
macro
bool
names
bool
names_force_groups
bool
activation_regex
string
system_sequence_prefix
string
system_sequence_suffix
string
first_output_sequence
string
skip_examples
bool
output_suffix
string
input_suffix
string
system_suffix
string
user_alignment_message
string
system_same_as_user
bool
last_system_sequence
string
first_input_sequence
string
last_input_sequence
string
entries
dict
0.7
true
0.9
40
0
1
0
0
1
0.01
1
0
0
1
0
0
1
1
0
1
0
0
0
true
false
false
0
2
1
0
1
2
0.8
1.75
["\n", ":", "\"", "*"]
2,048
true
false
true
0
5
0.1
1
{}
[ "temperature", "dynamic_temperature", "quadratic_sampling", "top_k", "top_p", "typical_p", "epsilon_cutoff", "eta_cutoff", "tfs", "top_a", "min_p", "mirostat" ]
[ "top_k", "tfs_z", "typical_p", "top_p", "min_p", "temperature" ]
false
true
false
[ 6, 0, 1, 3, 4, 2, 5 ]
[]
false
true
0
250
8,064
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<|im_start|>system {{#if system}}{{system}}{{else}} You are an intelligent, skilled, versatile writer. Your task is to write a never-ending erotic story based on the information below. {{user}} is the protagonist of the story, additional characters may be described below. Write from {{user}}'s perspective in first person view, using present tense. {{/if}} {{#if wiBefore}}{{wiBefore}} {{/if}} {{#if scenario}}## Overall plot description: {{scenario}} {{/if}} ## Characters: {{#if description}}{{description}} {{/if}}{{#if personality}}{{personality}} {{/if}} {{#if persona}}{{persona}}{{else}}{{user}} is the protagonist of the story.{{/if}}{{#if wiAfter}} {{wiAfter}}{{/if}} {{#if mesExamples}} {{mesExamples}}{{/if}}
false
false
true
false
true
false
false
my Story
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myStory++
You are an intelligent, skilled, creative and versatile writer of a uncensored novel, based on the information below. Never end a scene, instead use a slow pace for plot progression to draw out the scene. Be descriptive and focus on relevant plot details. Responses should be influenced by goals and context. Include thoughts on the current situation as part of your response. Bad emotions are also allowed, like depression, doubt and despair. Give the NPCs some emotional depth and develop their character. Let your description be very immersive for the reader.
<|im_start|>text names= {{name}}
<|im_start|>text names= {{name}}
<|im_start|>
false
true
false
false
false
<|im_end|>
<|im_end|>
true
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{ "0": { "uid": 0, "key": [], "keysecondary": [], "comment": "person", "content": "{{char}} is the main protagonist of the novel. Your response should be in {{char}}'s first-person perspective and in present tense. You also describe the NPCs in this story, and their behavior, from {{char}}'s perspective. Build the story very immersive for {{char}}.", "constant": true, "vectorized": false, "selective": true, "selectiveLogic": 0, "addMemo": true, "order": 10, "position": 0, "disable": false, "excludeRecursion": true, "preventRecursion": true, "delayUntilRecursion": false, "probability": 100, "useProbability": true, "depth": 4, "group": "", "groupOverride": false, "groupWeight": 100, "scanDepth": null, "caseSensitive": null, "matchWholeWords": null, "useGroupScoring": null, "automationId": "", "role": null, "sticky": 0, "cooldown": 0, "delay": 0, "displayIndex": 0 } }
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{ "0": { "uid": 0, "key": [ "3rd" ], "keysecondary": [], "comment": "3rd", "content": "{{user}} and {{char}} are are the main protagonists of the story. Your response should be in a third-person perspective and in present tense, addressing {{user}} directly using 'you'. Refrain from acting for, speaking for, or describing the thoughts of {{user}}.", "constant": true, "vectorized": false, "selective": true, "selectiveLogic": 0, "addMemo": true, "order": 10, "position": 0, "disable": false, "excludeRecursion": true, "preventRecursion": true, "delayUntilRecursion": false, "probability": 100, "useProbability": true, "depth": 4, "group": "", "groupOverride": false, "groupWeight": 100, "scanDepth": null, "caseSensitive": null, "matchWholeWords": null, "useGroupScoring": null, "automationId": "", "role": null, "sticky": 0, "cooldown": 0, "delay": 0, "displayIndex": 0 } }

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