Align release documentation with manuscript and code tag

README.md

@@ -4,7 +4,7 @@ language:
 - en
 license: other
 license_name: mixed-cc-by-nc-sa-4.0-and-per-source-pmc
-license_link: https://huggingface.co/datasets/KerwinFu/M3LLM-data/blob/main/DATA_LICENCE.md
+license_link: https://huggingface.co/datasets/KerwinFu/M3LLM-data-v1.0.0/blob/main/DATA_LICENCE.md
 task_categories:
 - visual-question-answering
 - question-answering
@@ -74,7 +74,7 @@ configs:
 
 # M3LLM Data
 
-Data for M³LLM training and evaluation on biomedical instruction-following tasks derived from PubMed Central (PMC) articles. This personal repository is the validated staging release for transfer to the Yale-BIDS-Chen namespace.
+Data for M³LLM training and evaluation on biomedical instruction-following tasks derived from PubMed Central (PMC) articles. This repository is the versioned v1.0.0 data release.
 
 ## Contents
 
@@ -85,7 +85,9 @@ Data for M³LLM training and evaluation on biomedical instruction-following task
 | PMC-MI policy-refinement partition | validation | 200 | Validation instances for Stage II |
 | PMC-MI-Bench | test | 298 | Six benchmark tasks after the two author-specified exclusions |
 
-The source PMC-MI collection contains 237,137 instruction instances. Of these, 10,561 multi-subimage VQA instances were allocated to the policy-refinement partition by stored compound-figure identifier. Release filtering excluded 117 training records with article-level overlap with retained PMC-MI-Bench, 43 records associated with 39 PMCIDs for which redistribution-licence evidence was not verified to the release threshold, and 2,021 text-only records from the unavailable raw shard `008`. `metadata/training_exclusions.jsonl` records each exclusion without redistributing its instruction content.
+Initial PMC-MI assembly yielded 237,137 instruction instances. The source-article separation audit excluded 117 model-development records whose PMCIDs occurred in retained PMC-MI-Bench, yielding the final 237,020-instance study corpus. This corpus contains 226,464 supervised instructions and 10,556 policy-refinement instances, comprising 10,356 optimization and 200 validation instances.
+
+The public release applies two additional provenance and licence filters. It excludes 43 records associated with 39 PMCIDs for which redistribution-licence evidence was not verified to the release threshold and 2,021 text-only records from the unavailable raw shard `008`, whose PMCID and source-figure provenance could not be recovered. The resulting release contains 224,401 supervised records, 10,355 policy-refinement training records, 200 policy-refinement validation records and 298 benchmark records. `metadata/training_exclusions.jsonl` records each exclusion without redistributing its instruction content.
 
 PMCID and source-figure provenance was recovered for 38,565 text-only source records: 38,366 by monotonic semantic alignment and 199 by exact context-question-answer alignment. After article-overlap and licence filtering, 38,516 text-only records are released. The alignment method and evidence are recorded per sample in `metadata/puretext_provenance.jsonl`.
 
@@ -118,9 +120,9 @@ The policy-refinement files retain EasyR1-compatible fields. `ground_truth_selec
 ```python
 from datasets import load_dataset
 
-pmc_mi = load_dataset("KerwinFu/M3LLM-data", "pmc_mi_multi_subimage_vqa")
-policy = load_dataset("KerwinFu/M3LLM-data", "pmc_mi_policy_refinement")
-benchmark = load_dataset("KerwinFu/M3LLM-data", "pmc_mi_bench_multi_subimage_vqa")
+pmc_mi = load_dataset("KerwinFu/M3LLM-data-v1.0.0", "pmc_mi_multi_subimage_vqa")
+policy = load_dataset("KerwinFu/M3LLM-data-v1.0.0", "pmc_mi_policy_refinement")
+benchmark = load_dataset("KerwinFu/M3LLM-data-v1.0.0", "pmc_mi_bench_multi_subimage_vqa")
 ```
 
 Visual PMC-MI and policy-refinement records reference source-image filenames from the [MedPMC-11M image repository](https://huggingface.co/datasets/Yale-BIDS-Chen/medpmc-11m-dataset_jun24_baseline). The 588 images referenced by PMC-MI-Bench are included here.
@@ -137,5 +139,5 @@ See [DATA_LICENCE.md](DATA_LICENCE.md) for the licence scope and reuse guidance.
 
 ## Associated resources
 
-- Code: https://github.com/KerwinFuyihang/M3LLM-v2
+- Code: https://github.com/KerwinFuyihang/M3LLM-v2/tree/v1.0.2
 - Source-image repository: https://huggingface.co/datasets/Yale-BIDS-Chen/medpmc-11m-dataset_jun24_baseline