lick text

README.md

@@ -25,7 +25,7 @@ configs:
 
 # WOS-11967
 
-This TopicNet derived preparation contains 11,965 retained scientific abstracts from the WOS-11967 release, with 33 observed integer labels serialized as strings. The source has 11,967 rows. The source README declares 35 categories and seven parents, but Y.txt actually contains 33 observed labels (0–32). Names for those 33 labels are not inferred from other WOS subsets. This is a derived research preparation, not the original release.
+This TopicNet preparation contains 11,965 retained scientific abstracts from the WOS-11967 release, with 33 observed integer labels serialized as strings. The source has 11,967 rows. The source README declares 35 categories and seven parents, but Y.txt contains 33 observed labels (0–32). Names for those 33 labels are not inferred from other WOS subsets.
 
 
 ## Population, labels and splits
@@ -126,13 +126,13 @@ Related preparations are [TopicNet/WOS-5736](https://huggingface.co/datasets/Top
 
 ## Files and integrity
 
-The package contains this card, unchanged `.gitattributes`, [SHA256SUMS](SHA256SUMS), two CSV representations and [labels](data/labels.json)/[splits](data/splits.json)/[hierarchy](data/hierarchy.json) metadata, plus the verbatim source README. Run `sha256sum -c SHA256SUMS` from the package root to check every publication file except the checksum list itself. The representation files retain their original generated bytes.
+The package contains this card, `.gitattributes`, [SHA256SUMS](SHA256SUMS), two CSV representations and [labels](data/labels.json)/[splits](data/splits.json)/[hierarchy](data/hierarchy.json) metadata, plus the verbatim source README. Run `sha256sum -c SHA256SUMS` from the package root to check the listed files.
 
 ## Rights, limitations and citation
 
 The [Mendeley release, version 6](https://data.mendeley.com/datasets/9rw3vkcfy4/6) declares CC BY 4.0; its DOI is [10.17632/9rw3vkcfy4.6](https://doi.org/10.17632/9rw3vkcfy4.6). The verbatim [SOURCE_README.txt](SOURCE_README.txt) retains Copyright (c) 2017 Kamran Kowsari and the permission notice requiring the copyright and permission notices in copies or substantial portions. Preserve those notices and cite the source. The release license is not a blanket guarantee that abstracts or other third-party content have no additional rights.
 
-These local packages are intended for private research storage; remote visibility has not been verified or changed. Private storage does not supply redistribution permission. Labels and topic distributions reflect source selection, historical coverage, class imbalance and automatic preprocessing. Family grouping limits known leakage but does not establish that every semantic duplicate was detected. Normalized representations do not guarantee current facts, absence of personal information or suitability for downstream decisions.
+Source selection, historical coverage, class imbalance and automatic preprocessing affect the labels and topic distributions. Family grouping reduces known duplicate leakage, but some semantic duplicates may remain. The abstracts may contain personal information and outdated claims. Assess the corpus's suitability for your application before relying on it for decisions.
 
 Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber and Laura E. Barnes (2017), [*HDLTex: Hierarchical Deep Learning for Text Classification*](https://arxiv.org/abs/1709.08267), IEEE ICMLA. DOI: [10.1109/ICMLA.2017.0-134](https://doi.org/10.1109/ICMLA.2017.0-134).
 

SHA256SUMS

@@ -1,5 +1,5 @@
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-858403645e465f50b75e9b6b2cfb587994c76ceb9af446891a5250d6865ea4b2  README.md
+ac0965ee96f086e21476737b40da454fd99093cfeca9dc8bc88e2ecf1975e190  README.md
 6da4ab1e624c4ef61c46600d727770f873ff4db3c15541fb481e7af8a715c0ec  SOURCE_README.txt
 4e27d8e46bad08061568222a0931b963f6ad637074b1b227de095af05757d339  data/bow.csv
 5a4ab746cdc75b048143eb8aeac2660535bed1a23cca7d37a6e4775bb9b7d3b6  data/hierarchy.json