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4 changes: 2 additions & 2 deletions optimum/intel/openvino/configuration.py
Original file line number Diff line number Diff line change
Expand Up @@ -133,7 +133,7 @@ class OVWeightQuantizationConfig(OVQuantizationConfigBase):
using the [`~PreTrainedTokenizer.save_pretrained`] method, e.g., `./my_model_directory/`.
dataset (`str or List[str]`, *optional*):
The dataset used for data-aware compression or quantization with NNCF. You can provide your own dataset
in a list of strings or just use the one from the list ['wikitext','c4','c4-new','ptb','ptb-new'] for LLLMs
in a list of strings or just use the one from the list ['wikitext2','c4','c4-new','ptb','ptb-new'] for LLLMs
or ['conceptual_captions','laion/220k-GPT4Vision-captions-from-LIVIS','laion/filtered-wit'] for diffusion models.
Alternatively, you can provide data objects via `calibration_dataset` argument
of `OVQuantizer.quantize()` method.
Expand Down Expand Up @@ -194,7 +194,7 @@ def post_init(self):
f"If you wish to provide a custom dataset, please use the `OVQuantizer` instead."
)
if self.dataset is not None and isinstance(self.dataset, str):
llm_datasets = ["wikitext", "c4", "c4-new", "ptb", "ptb-new"]
llm_datasets = ["wikitext2", "c4", "c4-new", "ptb", "ptb-new"]
stable_diffusion_datasets = [
"conceptual_captions",
"laion/220k-GPT4Vision-captions-from-LIVIS",
Expand Down
8 changes: 4 additions & 4 deletions tests/openvino/test_quantization.py
Original file line number Diff line number Diff line change
Expand Up @@ -715,7 +715,7 @@ class OVQuantizationConfigTest(unittest.TestCase):
(OVWeightQuantizationConfig(bits=8, sym=True),),
(
OVWeightQuantizationConfig(
dataset="wikitext",
dataset="wikitext2",
bits=4,
ignored_scope={"names": ["op_name"]},
sym=False,
Expand Down Expand Up @@ -747,7 +747,7 @@ class OVQuantizationConfigTest(unittest.TestCase):
(dict(bits=8, sym=True), OVWeightQuantizationConfig, None),
(
dict(
dataset="wikitext",
dataset="wikitext2",
bits=4,
ignored_scope={"names": ["op_name"]},
sym=False,
Expand All @@ -771,7 +771,7 @@ class OVQuantizationConfigTest(unittest.TestCase):
(dict(num_samples=100), OVWeightQuantizationConfig, "Can't determine type of OV quantization config"),
(dict(abc="def"), OVWeightQuantizationConfig, "Can't determine type of OV quantization config"),
(
dict(bits=8, fast_bias_correction=True, dataset="wikitext"),
dict(bits=8, fast_bias_correction=True, dataset="wikitext2"),
OVWeightQuantizationConfig,
"Can't determine type of OV quantization config",
),
Expand All @@ -793,7 +793,7 @@ class OVQuantizationConfigTest(unittest.TestCase):
(dict(abc="def", weight_only=False), OVQuantizationConfig, None),
(dict(abc="def", weight_only=True), OVWeightQuantizationConfig, None),
(
dict(bits=8, fast_bias_correction=True, dataset="wikitext", weight_only=True),
dict(bits=8, fast_bias_correction=True, dataset="wikitext2", weight_only=True),
OVWeightQuantizationConfig,
None,
),
Expand Down