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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
text: string
category: string
subtype: string
source: string
prompt_version: string
to
{'id': Value('string'), 'text': Value('string'), 'category': Value('string'), 'source': Value('string'), 'prompt_version': 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 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              text: string
              category: string
              subtype: string
              source: string
              prompt_version: string
              to
              {'id': Value('string'), 'text': Value('string'), 'category': Value('string'), 'source': Value('string'), 'prompt_version': 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 1369, 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 948, 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 1683, 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 1869, 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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id
string
text
string
category
string
source
string
prompt_version
string
arctic_a0001
Author of the danger trail, Philip Steels, etc.
phonetic
arctic
v1
arctic_a0002
Not at this particular case, Tom, apologized Whittemore.
phonetic
arctic
v1
arctic_a0003
For the twentieth time that evening the two men shook hands.
phonetic
arctic
v1
arctic_a0004
Lord, but I'm glad to see you again, Phil.
phonetic
arctic
v1
arctic_a0005
Will we ever forget it.
phonetic
arctic
v1
arctic_a0006
God bless 'em, I hope I'll go on seeing them forever.
phonetic
arctic
v1
arctic_a0007
And you always want to see it in the superlative degree.
phonetic
arctic
v1
arctic_a0008
Gad, your letter came just in time.
phonetic
arctic
v1
arctic_a0009
He turned sharply, and faced Gregson across the table.
phonetic
arctic
v1
arctic_a0010
I'm playing a single hand in what looks like a losing game.
phonetic
arctic
v1
arctic_a0011
If I ever needed a fighter in my life I need one now.
phonetic
arctic
v1
arctic_a0012
Gregson shoved back his chair and rose to his feet.
phonetic
arctic
v1
arctic_a0013
He was a head shorter than his companion, of almost delicate physique.
phonetic
arctic
v1
arctic_a0014
Now you're coming down to business, Phil, he exclaimed.
phonetic
arctic
v1
arctic_a0015
It's the aurora borealis.
phonetic
arctic
v1
arctic_a0016
There's Fort Churchill, a rifle-shot beyond the ridge, asleep.
phonetic
arctic
v1
arctic_a0017
From that moment his friendship for Belize turns to hatred and jealousy.
phonetic
arctic
v1
arctic_a0018
There was a change now.
phonetic
arctic
v1
arctic_a0019
I followed the line of the proposed railroad, looking for chances.
phonetic
arctic
v1
arctic_a0020
Clubs and balls and cities grew to be only memories.
phonetic
arctic
v1
arctic_a0021
It fairly clubbed me into recognizing it.
phonetic
arctic
v1
arctic_a0022
Hardly were our plans made public before we were met by powerful opposition.
phonetic
arctic
v1
arctic_a0023
A combination of Canadian capital quickly organized and petitioned for the same privileges.
phonetic
arctic
v1
arctic_a0024
It was my reports from the north which chiefly induced people to buy.
phonetic
arctic
v1
arctic_a0025
I was about to do this when cooler judgment prevailed.
phonetic
arctic
v1
arctic_a0026
It occurred to me that there would have to be an accounting.
phonetic
arctic
v1
arctic_a0027
To my surprise he began to show actual enthusiasm in my favor.
phonetic
arctic
v1
arctic_a0028
Robbery, bribery, fraud,.
phonetic
arctic
v1
arctic_a0029
Their forces were already moving into the north country.
phonetic
arctic
v1
arctic_a0030
I had faith in them.
phonetic
arctic
v1
arctic_a0031
They were three hundred yards apart.
phonetic
arctic
v1
arctic_a0032
Since then some mysterious force has been fighting us at every step.
phonetic
arctic
v1
arctic_a0033
He unfolded a long typewritten letter, and handed it to Gregson.
phonetic
arctic
v1
arctic_a0034
Men of Selden's stamp don't stop at women and children.
phonetic
arctic
v1
arctic_a0035
He stopped, and Philip nodded at the horrified question in his eyes.
phonetic
arctic
v1
arctic_a0036
She turned in at the hotel.
phonetic
arctic
v1
arctic_a0037
I was the only one who remained sitting.
phonetic
arctic
v1
arctic_a0038
We'll have to watch our chances.
phonetic
arctic
v1
arctic_a0039
The ship should be in within a week or ten days.
phonetic
arctic
v1
arctic_a0040
I suppose you wonder why she is coming up here.
phonetic
arctic
v1
arctic_a0041
Meanwhile I'll go out to breathe a spell.
phonetic
arctic
v1
arctic_a0042
How could he explain his possession of the sketch.
phonetic
arctic
v1
arctic_a0043
It seemed nearer to him since he had seen and talked with Gregson.
phonetic
arctic
v1
arctic_a0044
Her own betrayal of herself was like tonic to Philip.
phonetic
arctic
v1
arctic_a0045
He moved away as quietly as he had come.
phonetic
arctic
v1
arctic_a0046
The girl faced him, her eyes shining with sudden fear.
phonetic
arctic
v1
arctic_a0047
Close beside him gleamed the white fangs of the wolf-dog.
phonetic
arctic
v1
arctic_a0048
He looked at the handkerchief more, closely.
phonetic
arctic
v1
arctic_a0049
Gregson was asleep when he re-entered the cabin.
phonetic
arctic
v1
arctic_a0050
In spite of their absurdity the words affected Philip curiously.
phonetic
arctic
v1
arctic_a0051
The lace was of a delicate ivory color, faintly tinted with yellow.
phonetic
arctic
v1
arctic_a0052
It was a curious coincidence.
phonetic
arctic
v1
arctic_a0053
Suddenly his fingers closed tightly over the handkerchief.
phonetic
arctic
v1
arctic_a0054
There was nothing on the rock.
phonetic
arctic
v1
arctic_a0055
Philip stood undecided, his ears strained to catch the slightest sound.
phonetic
arctic
v1
arctic_a0056
Pearce's little eyes were fixed on him shrewdly.
phonetic
arctic
v1
arctic_a0057
I have no idea, replied Philip.
phonetic
arctic
v1
arctic_a0058
I came for information more out of curiosity than anything else.
phonetic
arctic
v1
arctic_a0059
His immaculate appearance was gone.
phonetic
arctic
v1
arctic_a0060
Anyway, no one saw her like that.
phonetic
arctic
v1
arctic_a0061
Philip snatched at the letter which Gregson held out to him.
phonetic
arctic
v1
arctic_a0062
The men stared into each other's face.
phonetic
arctic
v1
arctic_a0063
Yes, it was a man who asked, a stranger.
phonetic
arctic
v1
arctic_a0064
The fourth and fifth days passed without any developments.
phonetic
arctic
v1
arctic_a0065
They closed now until his fingers were like cords of steel.
phonetic
arctic
v1
arctic_a0066
He saw Jeanne falter for a moment.
phonetic
arctic
v1
arctic_a0067
Surely I will excuse you, she cried.
phonetic
arctic
v1
arctic_a0068
In a flash Philip followed its direction.
phonetic
arctic
v1
arctic_a0069
It was his intention to return to Eileen and her father.
phonetic
arctic
v1
arctic_a0070
He would first hunt up Gregson and begin his work there.
phonetic
arctic
v1
arctic_a0071
What was the object of your little sensation.
phonetic
arctic
v1
arctic_a0072
But who was Eileen's double.
phonetic
arctic
v1
arctic_a0073
The promoter's eyes were heavy, with little puffy bags under them.
phonetic
arctic
v1
arctic_a0074
And now, down there, Eileen was waiting for him.
phonetic
arctic
v1
arctic_a0075
There has been a change, she interrupted him.
phonetic
arctic
v1
arctic_a0076
The gray eyes faltered; the flush deepened.
phonetic
arctic
v1
arctic_a0077
It is the fire, partly, she said.
phonetic
arctic
v1
arctic_a0078
Then, and at supper, he tried to fathom her.
phonetic
arctic
v1
arctic_a0079
It was a large canoe.
phonetic
arctic
v1
arctic_a0080
What if Jeanne failed him.
phonetic
arctic
v1
arctic_a0081
What if she did not come to the rock.
phonetic
arctic
v1
arctic_a0082
His face was streaming with blood.
phonetic
arctic
v1
arctic_a0083
A shadow was creeping over Pierre's eyes.
phonetic
arctic
v1
arctic_a0084
Scarcely had he uttered the name when Pierre's closing eyes shot open.
phonetic
arctic
v1
arctic_a0085
A trickle of fresh blood ran over his face.
phonetic
arctic
v1
arctic_a0086
Death had come with terrible suddenness.
phonetic
arctic
v1
arctic_a0087
Philip bent lower, and stared into the face of the dead man.
phonetic
arctic
v1
arctic_a0088
He made sure that the magazine was loaded, and resumed his paddling.
phonetic
arctic
v1
arctic_a0089
The nightglow was treacherous to shoot by.
phonetic
arctic
v1
arctic_a0090
The singing voice approached rapidly.
phonetic
arctic
v1
arctic_a0091
His blood grew hot with rage at the thought.
phonetic
arctic
v1
arctic_a0092
He went down in midstream, searching the shadows of both shores.
phonetic
arctic
v1
arctic_a0093
For a full minute he crouched and listened.
phonetic
arctic
v1
arctic_a0094
He had barely entered this when he saw the glow of a fire.
phonetic
arctic
v1
arctic_a0095
A big canvas tent was the first thing to come within his vision.
phonetic
arctic
v1
arctic_a0096
Perhaps she had already met her fate a little deeper in the forest.
phonetic
arctic
v1
arctic_a0097
Then you can arrange yourself comfortably among these robes in the bow.
phonetic
arctic
v1
arctic_a0098
Shall I carry you.
phonetic
arctic
v1
arctic_a0099
A maddening joy pounded in his brain.
phonetic
arctic
v1
arctic_a0100
You must sleep, he urged.
phonetic
arctic
v1
End of preview.

reso-prompts-v1 — English TTS text corpus

16,213 utterances engineered for training expressive, tag-controllable TTS. Six complementary files (JSONL: id, text, category, source, + conversation_id/turn_index for dialogues):

file rows purpose
arctic.jsonl 1,132 diphone coverage (CMU Arctic, public domain)
harvard.jsonl 720 phonetically balanced (Harvard sentences)
general.jsonl 7,000 prose register variety (7 public-domain books)
normalization.jsonl 1,820 prices, dates, phones, URLs, units, acronyms (13 subtypes)
prosody.jsonl 2,781 800 multi-turn dialogues, conversational register
tags.jsonl 1,560 <laugh> <chuckle> <sigh> <gasp> <whisper> <pause>, position-balanced
edge.jsonl 1,200 single letters, one-worders, names, spellings, 40-word sentences

~197k words ≈ ~19.7 h of speech when synthesized. manifest.json carries per-file counts and tag statistics. Deterministic build/validation scripts: https://github.com/decibel-hq/reso

Sources: CMU Arctic & Harvard sentences (public domain), Project Gutenberg extracts (public domain), generated content (Apache 2.0).

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