Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: other
+license: apache-2.0
 task_categories:
 - text-generation
 tags:
@@ -10,14 +10,14 @@ tags:
 - instruction-following
 - reasoning
 configs:
-- config_name: instruction_following-cleaned
+- config_name: instruction_following
   data_files:
   - split: train
-    path: "instruction_following-cleaned/*.parquet"
+    path: instruction_following/*.parquet
 - config_name: 3efforts-pretrain
   data_files:
   - split: train
-    path: "3efforts-pretrain/*.parquet"
+    path: 3efforts-pretrain/*.parquet
 ---
 
 # SFT-Reasoning
@@ -26,30 +26,30 @@ configs:
 
 Instruction-following and reasoning data prepared for supervised fine-tuning. This repository is part of the [K2 Horizon collection](https://huggingface.co/collections/IFM/k2-horizon).
 
-The release is organized as one Hugging Face configuration per subset. Every configuration has a `train` split backed by Parquet shards, which supports Dataset Viewer inspection and streaming access.
+The release is organized as one Hugging Face dataset per subset. Every subset has a `train` split backed by Parquet shards, which supports Dataset Viewer inspection and streaming access.
 
 ## K2 Horizon Dataset Series
 
-| Dataset repository | Focus | Configurations |
-| --- | --- | ---: |
-| [IFM/TxT360-v2](https://huggingface.co/datasets/IFM/TxT360-v2) | Web and question-answering text | 3 |
-| [IFM/Code-Reasoning](https://huggingface.co/datasets/IFM/Code-Reasoning) | Code reasoning and task synthesis | 7 |
-| [IFM/Math-Reasoning](https://huggingface.co/datasets/IFM/Math-Reasoning) | Mathematical reasoning and dialogue | 5 |
-| [IFM/SFT-Reasoning](https://huggingface.co/datasets/IFM/SFT-Reasoning) | Instruction following and supervised fine-tuning | 2 |
-| [IFM/Pretrain-Behaviors](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | Behavior-focused continued-pretraining data | 7 |
+| Dataset repository                                                               | Focus                                    | Subsets |
+| -------------------------------------------------------------------------------- | ---------------------------------------- | ------: |
+| [IFM/TxT360-v2](https://huggingface.co/datasets/IFM/TxT360-v2)                   | Web and question-answering text          |       3 |
+| [IFM/Code-Reasoning](https://huggingface.co/datasets/IFM/Code-Reasoning)         | Code reasoning and task synthesis        |       7 |
+| [IFM/Math-Reasoning](https://huggingface.co/datasets/IFM/Math-Reasoning)         | Mathematical reasoning and dialogue      |       5 |
+| [IFM/SFT-Reasoning](https://huggingface.co/datasets/IFM/SFT-Reasoning)           | Instruction following and SFT-style data |       2 |
+| [IFM/Pretrain-Behaviors](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | Behavior-focused pretraining data        |       7 |
 
-## Dataset Configurations
+## Dataset Subsets
 
-| Configuration | Catalog source | Data files |
-| --- | --- | --- |
-| `instruction_following-cleaned` | `instruction_following-cleaned` | `instruction_following-cleaned/*.parquet` |
-| `3efforts-pretrain` | `3efforts-pretrain` | `3efforts-pretrain/*.parquet` |
+| Subset                  | Data files                        |
+| ----------------------- | --------------------------------- |
+| `instruction-following` | `instruction-following/*.parquet` |
+| `3efforts-pretrain`     | `3efforts-pretrain/*.parquet`     |
 
 ## Repository Structure
 
 ```text
 README.md
-instruction_following-cleaned/
+instruction-following/
   <source-file>-<stable-id>-00000.parquet
   <source-file>-<stable-id>-00001.parquet
 3efforts-pretrain/
@@ -61,14 +61,14 @@ The shard prefix is derived from the source JSONL filename and a stable identifi
 
 ## Data Fields
 
-Records originate as JSON objects and are converted to Parquet for release. Field names and nested structures can differ by configuration. Inspect `features` before building a processing pipeline:
+Records originate as JSON objects and are converted to Parquet for release. Field names and nested structures can differ by subset. Inspect `features` before building a processing pipeline:
 
 ```python
 from datasets import load_dataset
 
 dataset = load_dataset(
     "IFM/SFT-Reasoning",
-    "instruction_following-cleaned",
+    "instruction-following",
     split="train",
     streaming=True,
 )
@@ -78,13 +78,11 @@ print(next(iter(dataset)))
 
 ## Data Provenance and Processing
 
-The configurations in this repository are selected from the data inventory used to prepare the K2 Horizon training mixture. Only release-approved configurations are included. JSONL records are converted to Parquet without intentionally renaming application-level fields.
-
-Individual configurations may have undergone source-specific filtering, cleaning, deduplication, quality scoring, or synthetic-data generation. Users should evaluate each configuration for their target use case and inspect the available provenance metadata.
+Individual subsets may have undergone source-specific filtering, cleaning, deduplication, quality scoring, or synthetic-data generation. Users should evaluate each subset for their target use case and inspect the available provenance metadata.
 
 ## Intended Use
 
-This dataset is intended for language-model training and research. The configurations can be streamed independently, combined with user-defined sampling weights, or inspected through the Hugging Face Dataset Viewer.
+This dataset is intended for language-model training and research. The subsets can be streamed independently, combined with user-defined sampling weights, or inspected through the Hugging Face Dataset Viewer.
 
 ## Limitations and Responsible Use
 
@@ -92,4 +90,4 @@ Large-scale training data can contain factual errors, duplicated material, sensi
 
 ## License and Terms of Use
 
-This repository contains multiple configurations that may have different source terms. Users are responsible for reviewing the applicable provenance and license information for the configurations they use and for determining suitability for their intended purpose.
+This dataset is licensed under the Apache License 2.0 available at https://www.apache.org/licenses/LICENSE-2.0.