Update README.md

README.md

@@ -49,7 +49,6 @@ This task classifies Bangla news articles into seven categories:
 | `5` | Sports |
 | `6` | Lifestyle |
 
-Unlike the other BLUGE tasks, NCC was constructed entirely from scratch, using sources independent of the B-CORE pretraining corpus, so there is no train/pretraining data leakage between B-CORE and this evaluation set. The dataset is **perfectly class-balanced**, with exactly 8,900 samples per category (62,300 total). Labels were derived automatically and consistently by extracting the category directly from each article's source URL, rather than through manual re-labeling — for each URL $u_i$ paired with article $a_i$, the category label $L(u_i)$ was mapped to a normalized label $N(L(u_i))$, yielding article-label pairs.
 
 ## Dataset Structure
 
@@ -100,10 +99,6 @@ train_df = pd.read_parquet(
 )
 ```
 
-## Source Data & Attribution
-
-Articles were collected from Bangla news sources independent of B-CORE, with category labels derived automatically from each article's source URL. Please note that while this dataset compilation is released under the license below, **the underlying article text may remain subject to the copyright of the original publishing outlets**; this release is intended for non-commercial research and benchmarking use consistent with standard fair-use norms for NLP dataset construction. If you are a rights holder with concerns about specific content, please reach out via the repository's community tab.
-
 ## License
 
 Released under **CC BY 4.0** for the dataset compilation, labels, and splits. You are free to share and adapt this dataset for research and most other purposes, provided you give appropriate credit — see the note above regarding underlying article copyright.