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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xff in position 1148: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1997, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 85, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1104, in read_with_retries
                  out = read(*args, **kwargs)
                File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 1148: invalid start byte
              
              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 1529, 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 1154, 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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File: readme.doc, updated 10/12/90
The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus
(TIMIT)
Training and Test Data
NIST Speech Disc CD1-1.1
The TIMIT corpus of read speech has been designed to provide speech data for
the acquisition of acoustic-phonetic knowledge and for the development and
evaluation of automatic speech recognition systems. TIMIT has resulted from
the joint efforts of several sites under sponsorship from the Defense Advanced
Research Projects Agency - Information Science and Technology Office
(DARPA-ISTO). Text corpus design was a joint effort among the Massachusetts
Institute of Technology (MIT), Stanford Research Institute (SRI), and Texas
Instruments (TI). The speech was recorded at TI, transcribed at MIT, and has
been maintained, verified, and prepared for CD-ROM production by the National
Institute of Standards and Technology (NIST). This file contains a brief
description of the TIMIT Speech Corpus. Additional information including the
referenced material and some relevant reprints of articles may be found in the
printed documentation which is also available from NTIS (NTIS# PB91-100354).
1. Corpus Speaker Distribution
-- ---------------------------
TIMIT contains a total of 6300 sentences, 10 sentences spoken by each of 630
speakers from 8 major dialect regions of the United States. Table 1 shows the
number of speakers for the 8 dialect regions, broken down by sex. The
percentages are given in parentheses. A speaker's dialect region is the
geographical area of the U.S. where they lived during their childhood years.
The geographical areas correspond with recognized dialect regions in U.S.
(Language Files, Ohio State University Linguistics Dept., 1982), with the
exception of the Western region (dr7) in which dialect boundaries are not
known with any confidence and dialect region 8 where the speakers moved around
a lot during their childhood.
Table 1: Dialect distribution of speakers
Dialect
Region(dr) #Male #Female Total
---------- --------- --------- ----------
1 31 (63%) 18 (27%) 49 (8%)
2 71 (70%) 31 (30%) 102 (16%)
3 79 (67%) 23 (23%) 102 (16%)
4 69 (69%) 31 (31%) 100 (16%)
5 62 (63%) 36 (37%) 98 (16%)
6 30 (65%) 16 (35%) 46 (7%)
7 74 (74%) 26 (26%) 100 (16%)
8 22 (67%) 11 (33%) 33 (5%)
------ --------- --------- ----------
8 438 (70%) 192 (30%) 630 (100%)
The dialect regions are:
dr1: New England
dr2: Northern
dr3: North Midland
dr4: South Midland
dr5: Southern
dr6: New York City
dr7: Western
dr8: Army Brat (moved around)
2. Corpus Text Material
-- --------------------
The text material in the TIMIT prompts (found in the file "prompts.doc")
consists of 2 dialect "shibboleth" sentences designed at SRI, 450
phonetically-compact sentences designed at MIT, and 1890 phonetically-diverse
sentences selected at TI. The dialect sentences (the SA sentences) were meant
to expose the dialectal variants of the speakers and were read by all 630
speakers. The phonetically-compact sentences were designed to provide a good
coverage of pairs of phones, with extra occurrences of phonetic contexts
thought to be either difficult or of particular interest. Each speaker read 5
of these sentences (the SX sentences) and each text was spoken by 7 different
speakers. The phonetically-diverse sentences (the SI sentences) were selected
from existing text sources - the Brown Corpus (Kuchera and Francis, 1967) and
the Playwrights Dialog (Hultzen, et al., 1964) - so as to add diversity in
sentence types and phonetic contexts. The selection criteria maximized the
variety of allophonic contexts found in the texts. Each speaker read 3 of
these sentences, with each sentence being read only by a single speaker.
Table 2 summarizes the speech material in TIMIT.
Table 2: TIMIT speech material
Sentence Type #Sentences #Speakers Total #Sentences/Speaker
------------- ---------- --------- ----- ------------------
Dialect (SA) 2 630 1260 2
Compact (SX) 450 7 3150 5
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