Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
quant-dif-raw v1
Raw response data for "Quantization as a Measurement Invariance Problem: A Differential Item Functioning Analysis of Psychometric Scales in Compressed LLMs".
- 189,000 logged administrations of the 50-item IPIP Big-Five Factor Markers to 7 frozen model configurations (Qwen2.5-3B fp16/q8_0/q4_0, Qwen2.5-7B q8_0/q4_0, Llama-3.2-3B q8_0/q4_0), served by Ollama v0.31.1.
- Conditions: main experiment (200 personas × 50 items), no-persona distribution sub-experiment (40 samples/item), paraphrase-bank rerun, temperature 0.2/1.0 subsets.
- Every JSONL record carries full provenance: model tag, precision label, persona/item ids, per-call seed, temperature, GGUF weight SHA-256, engine version, timestamp, raw response text, parsed 1–5 score, and top-5 token log-probabilities.
- Bundle also contains the human-verified paraphrase item bank, the 200-persona pool (deterministic, seed 42), and the model manifest.
quant-dif-raw-v1.tar.gz SHA-256:
5b03248483fb60871a802331614e11af9b4ecb2c44321e1c9e1ccf580f36ef96
Analysis code and preregistration: https://github.com/XuebinMa/quant-dif
(preregistration frozen at commit a1a8582 before any data collection).
Note: IPIP item texts (public domain, ipip.ori.org) appear inside prompt/record fields as administered.
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