Vision · Voice · Language
Collection
Vision, speech, and language artifacts — image/signal demos, voice stacks, and encoder/NLP cards for multimodal industrial interfaces. • 5 items • Updated
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
system: string
macro_f1_run_union_labels: double
macro_f1_fixed_77_intents: double
accuracy: double
valid_label_rate: double
rows: int64
vs
source_row: int64
label_text: string
tfidf_logreg: string
frozen_gemma: string
selected_lora: string
word_count: int64
contains_number: bool
is_question: bool
length_quartile: string
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, 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 580, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
system: string
macro_f1_run_union_labels: double
macro_f1_fixed_77_intents: double
accuracy: double
valid_label_rate: double
rows: int64
vs
source_row: int64
label_text: string
tfidf_logreg: string
frozen_gemma: string
selected_lora: string
word_count: int64
contains_number: bool
is_question: bool
length_quartile: stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Gemma 3 Banking77 evaluation receipt / metrics pin
Hugging Face pin/mirror of the Kaggle dataset
sankalpsthakur/banking77-gemma-evaluation-receipt
for reproducibility.
This repository is an evaluation receipt / metrics pin, not model weights.
It contains parsed labels, model predictions, aggregate/error-slice fields, and
hashes from a completed private Kaggle run. It excludes Banking77 query text,
Gemma base weights, and LoRA adapter weights. The receipt is the public,
result-only companion to sankalpsthakur/gemma-3-on-banking77-when-lora-loses.
Kaggle pin (source of this mirror)
Attribution, licence, and source notes
BANKING77 © PolyAI, licensed CC BY 4.0. Model outputs are reported for research audit only. Gemma use remains subject to https://ai.google.dev/gemma/terms and the Gemma Prohibited Use Policy. Do not use these artifacts for financial decisions or deployment.
- Canonical dataset:
PolyAI/banking77 - Model:
google/gemma-3-1b-it(Kaggle sourcegoogle/gemma-3/Transformers/gemma-3-1b-it/1) - Licence: https://creativecommons.org/licenses/by/4.0/
No licence notices from the Kaggle pin have been stripped. CSV/JSON receipt files are mirrored for stable HF revision pinning; README packaging notes above document the mirror claim and that this is metrics/evidence only.
- Downloads last month
- 20