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Error code: FeaturesError Exception: ArrowInvalid Message: JSON parse error: Column() changed from object to string in row 0 Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables df = pandas_read_json(f) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json return pd.read_json(path_or_buf, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json return json_reader.read() File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read obj = self._get_object_parser(self.data) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser obj = FrameParser(json, **kwargs).parse() File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse self._parse() File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1402, in _parse self.obj = DataFrame( File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/frame.py", line 778, in __init__ mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr index = _extract_index(arrays) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 667, in _extract_index raise ValueError("If using all scalar values, you must pass an index") ValueError: If using all scalar values, you must pass an index During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3335, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head return next(iter(self.iter(batch_size=n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2296, in iter for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow for key, pa_table in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables raise e File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables pa_table = paj.read_json( File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json 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.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
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Tokenizer
Imp Links: PyPI Main Library (tokeniser-py) | PyPI Lite Library (tokeniser-py-lite) | Main Library GitHub (tokeniser-py) | Lite Library GitHub (tokeniser-py-lite) | Demo (HF Spaces) | Complete repo (chunked) - GitHub | Imp Files Github
This is a tokeniser created on a custom-written algorithm on a huge vocabulary of ~1B
tokens. These tokens are given in the files (such that they are <2GB
each, making them trackable by Git LFS). The text corpus is from the SlimPajama
dataset by cerebras and consists of the whole text and validation corpus.
The final tokeniser is available in two versions (0.5B
version - Val. data only and 1B
version - Val data + Test data, created using the same algo).
The files includes the token counts, the text corpus used, individual lines/paras from SlimPajama as a list JSON, ordered tokeniser with token ids (in order of their counts), unordered tokeniser with token ids.
The tokeniser contains 131,072 tokens.
To do:
- Write custom code for the final tokenisation part (to break text into tokens)
- Create a python library for using the tokeniser
- Put the files on GitHub for a general overview
- Release the experimentation notebook and the tokenisation code (as part of the library)
- Make a writeup to explain the algo used
Note: algo used is no industry standard algo like Byte Pair encoding, infact i have not studied BPE yet, i wanted to create a tokeniser from scratch first without any idea of what is currently used, and then compare the two, so a lot of what i implement may have similarities to that in industry but may not provide some performance improvement
I am storing it on HF, not on GITHUB, because of storage issues, and due to easy availability for the AI community.
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