Provenance and label fixes from the SDE revision (reviewer items D5 / R3-6).
Everything here is additive: the original provenance column is preserved,
and two new columns are appended.
1. Scenario label fixes
- materials-safety-classification: 139 of 140 rows carried the
corrosion-prediction task label, and 1 row carried safety-prediction.
As released, the 140-question safety set was merged into the corrosion
scenario and was not addressable as its own scenario.
- mw2formula: 'Molecuclar' -> 'Molecular'
- polymer-tg-prediction: 'poylmer' -> 'polymer'
2. Provenance column split
The released data overloads one free-text column with three kinds of
value: item sources, contributor names, and the studied entity. Two
columns are appended:
- source_ref : upstream databases, DOIs, URLs, benchmarks
- contributor : the curator, normalised to the full name used in the
manuscript author list (e.g. Jieyu -> Jieyu Lu, Xiu-Zhe Luo ->
Xiuzhe Luo, Yi…
Fix scenario labels and split the overloaded provenance column
Provenance and label fixes from the SDE revision (reviewer items D5 / R3-6).
Everything here is additive: the original provenance column is preserved,
and two new columns are appended.
1. Scenario label fixes
- materials-safety-classification: 139 of 140 rows carried the
corrosion-prediction task label, and 1 row carried safety-prediction.
As released, the 140-question safety set was merged into the corrosion
scenario and was not addressable as its own scenario.
- mw2formula: 'Molecuclar' -> 'Molecular'
- polymer-tg-prediction: 'poylmer' -> 'polymer'
2. Provenance column split
The released data overloads one free-text column with three kinds of
value: item sources, contributor names, and the studied entity. Two
columns are appended:
- source_ref : upstream databases, DOIs, URLs, benchmarks
- contributor : the curator, normalised to the full name used in the
manuscript author list (e.g. Jieyu -> Jieyu Lu, Xiu-Zhe Luo ->
Xiuzhe Luo, Yi…
