Datasets:
the label is inconsistent
The label is webpage is inconsistent with the label in downloaded dataset.
For example, for the case "How many points make up a perfect fivepin bowling score ?", the label from webpage is "5 (NUM)", but the label from "load_dataset('trec')" is "4", stand for "Location". Obviously, the case is about "number" instead of "location".
Then the following label map is incorrect:
'ABBR' (0): Abbreviation.
'ENTY' (1): Entity.
'DESC' (2): Description and abstract concept.
'HUM' (3): Human being.
'LOC' (4): Location.
'NUM' (5): Numeric value.
Hi @Tsingfeng ,
Please note that the labels in trec were fixed on 22 Aug: https://huggingface.co/datasets/trec/commit/1f97567bdd2adedefe8abdaa9bd6ee0e6725b458
That PR:
- replaces the fine labels, so that there are 50 instead of 47
- once more labels are added, all they (fine and coarse) have been re-ordered, so that they align with the order in: https://cogcomp.seas.upenn.edu/Data/QA/QC/definition.html
- the feature names have been fixed:
fine_labelinstead oflabel-fine- to sneak-case (underscores instead of hyphens)
- words have been reordered
More info:
- See more descriptive PR in GitHub: https://github.com/huggingface/datasets/pull/4801
- Related issue: https://github.com/huggingface/datasets/issues/4790
Therefore, the mapping in the dataset card is the right one.
I guess you are getting the old version of trec when doing load_dataset("trec")... To get the new version, you should update your datasets version:
pip install -U datasets