| |
|
|
| """ |
| Run this script as ./conversion_script.py to convert the EventCausality entries from |
| the CREST v2 aggregation file to HF-compatible parquet files. |
| |
| KNOWN UNFIXABLE (2026-07-11) -- do not "fix" this by pointing it at |
| CogComp/TCR's data. Researched at length trying to find a direct source |
| to replace CREST for this dataset (as was done for CaTeRS, BioCause, |
| COPA, TCR): EventCausality's original release (Do, Chan & Roth, EMNLP |
| 2011, 580 manually-annotated causal links on 25 CNN articles) was never |
| publicly archived anywhere reachable -- confirmed by reading the paper |
| itself (which only promises "we plan to make this dataset available |
| soon" via a CogComp resource-page URL that is now a dead/JS-templated |
| page with no static fallback), and by searching the whole CogComp GitHub |
| org (no matching repo). |
| |
| The only accessible data touching these same 25 documents is |
| github.com/CogComp/TCR (see ../TCR/conversion_script.py) -- but that is a |
| DIFFERENT, later, re-annotated dataset built for a different paper (Ning |
| et al., ACL 2018): events were re-extracted with ClearTK rather than |
| reusing Do et al.'s original manual event set, and causal links were |
| independently re-annotated and pruned (580 -> 172, a different label |
| scheme too: TCR's binary causes/caused_by vs. EventCausality's |
| causality/relatedness). Repointing this converter at TCR's data would |
| silently conflate two distinct datasets under one citation -- decided |
| NOT to do that. This script is therefore left exactly as it was: still fed by |
| CREST's own (independently confirmed corrupted/incomplete: 0 train rows) |
| aggregation, which is the best available approximation of the true |
| EventCausality data until/unless a first-party archive of the original |
| release resurfaces. If you're comparing models against "EventCausality" |
| using this data, treat effectiveness numbers on it as unreliable for |
| that reason -- it is not a data-loading bug in the usual sense. |
| """ |
|
|
| |
| |
| |
| |
|
|
| from pathlib import Path |
|
|
| from causalatee.data.constants import Task |
| from causalatee.data.conversion import CREST2HF, CRESTSource |
|
|
| converter = CREST2HF( |
| "https://raw.githubusercontent.com/phosseini/CREST/master/data/crest_v2.xlsx", |
| Path.cwd(), |
| prefix="eventcausality", |
| filters={"source": CRESTSource.EventCausality}, |
| ) |
|
|
| for split in ["train", "dev", "test"]: |
| converter.convert(Task.CausalityDetection, split) |
| converter.convert(Task.CausalCandidateExtraction, split) |
| converter.convert(Task.CausalityIdentification, split) |
|
|
