Additional research data
Collection
Reviewed public research datasets: NeSy, AdaThink and HyCo2. • 3 items • Updated
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/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 68, 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.
adathink result archive
This repository stores KV-compression experiment outputs under output/results/, organized by model, setting, benchmark, and task or context length. Files include per-task result JSON and metric summaries. It is an experiment archive, not a configured Hugging Face tabular dataset.
Download one result file without fetching the full archive:
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="Xnhyacinth/AdaThink-Research-Data", repo_type="dataset",
filename="output/results/Llama-3.1-8B-Instruct/compress_questions/0.0/0/ruler/16384/res.json",
)
Reviewed research copy
This complete file-set derivative of Xnhyacinth/adathink at 0aa1874480cadc98d5bec3f2f7151362b33f6ae5 applies reviewed substitutions to selected privacy-relevant string spans. Original configurations, splits, schemas, record IDs and all other fields are retained. Formal references, source attribution and documented examples remain subject to the original source terms; this card introduces no new license.
Historical token counts, compression ratios, scores and other measured numeric fields are retained as source observations and have not been recomputed after text edits. The edits do not certify unchanged benchmark performance. Dataset byte metadata changes only by the edited strings' UTF-8 size delta and the changed files' stored-size delta.
Review covers native text and supported static metadata. It does not include OCR of image pixels or analysis of model tensor contents. No source code, models, inference or experiments were executed to produce this copy. Some redacted links require navigation from the retained formal source page.
ARTIFACTS.json records source revision, whole-file before/after hashes and substitution counts. It excludes literal private values, individual-value fingerprints, record offsets and review contexts. Original histories are retained in the restricted source repositories.
- Downloads last month
- -