Datasets:

croqaz
/

vintage-conversations

Error code:   FeaturesError
Exception:    ValueError
Message:      Trailing data
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 251, in _generate_tables
                  batch = "\n".join(ujson_dumps(x) for x in ujson_loads(full_data)).encode()
                                                            ~~~~~~~~~~~^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Trailing data

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Vintage Conversations

These conversations are extracted from Gutenberg books using code and LLM extraction.

They are guaranteed to be identical to the original text (every dialog text is matched against the original book letter by letter), but it's not guaranteed that all dialogs are extracted, or that the speaker is correct.

The nearby words of the same speaker are grouped together, eg:

“He has a thirst for travelling; perhaps he may turn out a Bruce or a
Mungo Park,” said Mr. Brooke. “I had a notion of that myself at one
time.”

Becomes:

{"speaker": "Mr. Brooke",
 "text": "He has a thirst for travelling; perhaps he may turn out a Bruce or a Mungo Park. I had a notion of that myself at one time.",
 "pos": 163620}

Also:

Altogether, this dwelling, which was attended to by the two
women, was exquisitely clean from top to bottom. This was the sole
luxury which the Bishop permitted. He said, _“That takes nothing from
the poor.”_
It must be confessed, however, that he still retained from his former
possessions six silver knives and forks and a soup-ladle, which Madame
Magloire contemplated every day with delight, as they glistened
splendidly upon the coarse linen cloth. And since we are now painting
the Bishop of D—— as he was in reality, we must add that he had said
more than once, “I find it difficult to renounce eating from silver
dishes.”

Becomes:

{"speaker": "M. Myriel",
 "text": "That takes nothing from the poor. I find it difficult to renounce eating from silver dishes.",
 "pos": 49178}

Note: "The Time Machine dialogs" is extracted in a different way, the Array of conversations is grouped to be "in the context".

Use them as you see fit and drop a comment if you have any suggestions, or questions.

Mapping:

pg1023 = Bleak House, Charles Dickens
pg1184 = The Count of Monte Cristo, Alexandre Dumas
pg1257 = The three musketeers, Alexandre Dumas
pg135 = Les Misérables, Victor Hugo
pg1399 = Anna Karenina, Leo Tolstoy
pg1400 = Great Expectations, Charles Dickens
pg145 = Middlemarch, George Eliot
pg19500 = Can You Forgive Her?, Joseph E. Loewenstein
pg217 = Sons and Lovers, D.H. Lawrence
pg2600 = War and Peace, Leo Tolstoy
pg2638 = The Idiot, Fyodor Dostoyevsky
pg27200 = Fairy Tales of Hans Christian Andersen
pg2759 = The Man in the Iron Mask, Alexandre Dumas
pg28054 = The Brothers Karamazov, Fyodor Dostoyevsky
pg2981 = The Memoirs of Jacques Casanova, Giacomo Casanova
pg5231 = The Way We Live Now, Anthony Trollope
pg6593 = History of Tom Jones, Henry Fielding
pg7469 = Daniel Deronda, George Eliot
pg821 = Dombey and Son, Charles Dickens
pg9604 = Dream of the Red Chamber, a Chinese Novel, Cao Xueqin

Records:

4112 pg1023
9565 pg1184
5019 pg1257
4678 pg135
4130 pg1399
2315 pg1400
3067 pg145
4653 pg19500
3497 pg217
5036 pg2600
3189 pg2638
2949 pg27200
4188 pg2759
3968 pg28054
13532 pg2981
4915 pg5231
2405 pg6593
2841 pg7469
3961 pg821
3054 pg9604
 350 The Time Machine
91424 total

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