pushing dataset (#1)

- pushing dataset (acc5877f0e9c523f8970460a1f19e511c31e439c)


Co-authored-by: Pooja Anbuselvan <Poojanbuselvan@users.noreply.huggingface.co>

.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+data/train.jsonl filter=lfs diff=lfs merge=lfs -text
+data/validation.jsonl filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,42 @@
+terraform-multicloud
+Copyright (c) 2026 SASVA AI Model Cognition Labs (MCL) Team
+
+This DATASET — the compilation, the model-written `instruction` and `input`
+fields, the provenance columns and ATTRIBUTION.csv — is licensed under the
+Creative Commons Attribution 4.0 International Licence (CC-BY-4.0).
+
+    https://creativecommons.org/licenses/by/4.0/legalcode
+
+CC-BY-4.0 is inherited from the upstream source, which must be attributed:
+
+    TerraDS: A Dataset for Terraform HCL Programs
+    Zenodo, doi:10.5281/zenodo.20339474  (CC-BY-4.0)
+
+------------------------------------------------------------------------------
+THE CODE INSIDE REMAINS UNDER ITS ORIGINAL LICENCES
+------------------------------------------------------------------------------
+
+The `output` field of every row is a Terraform source file written by a third
+party and redistributed here unaltered. It is NOT covered by the licence above.
+Each row carries the `repo`, `license` and `file_path` of its origin, and
+ATTRIBUTION.csv lists all 25,264 source repositories with their SPDX licence.
+
+Row counts by source licence:
+
+    MIT                 49,211      BSD-2-Clause          277
+    Apache-2.0          24,750      WTFPL                 141
+    UPL-1.0              1,222      ISC                    97
+    Unlicense              937      0BSD                    8
+    MIT-0                  904      BSD-3-Clause-Clear      1
+    BSD-3-Clause           892
+    CC0-1.0                472
+
+76,450 rows (96.9%) are under licences requiring attribution and retention of
+the licence text. If you redistribute this dataset or a derivative, carry
+ATTRIBUTION.csv with it.
+
+Apache-2.0 section 4(b) requires retention of NOTICE files. Repository-root
+NOTICE files are NOT included here: the extraction unit is a single .tf file.
+ATTRIBUTION.csv plus the `repo` column is the route back to them.
+
+Removal requests: open a discussion on this dataset naming the repository.

README.md

@@ -1,3 +1,293 @@
 ---
-license: apache-2.0
+license: cc-by-4.0
+task_categories:
+  - text-generation
+language:
+  - en
+  - code
+tags:
+  - terraform
+  - hcl
+  - infrastructure-as-code
+  - iac
+  - code-generation
+  - devops
+  - aws
+  - azure
+  - gcp
+  - kubernetes
+  - synthetic-instructions
+size_categories:
+  - 10K<n<100K
+pretty_name: Terraform Multicloud
+source_datasets:
+  - extended|terrads
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train.jsonl
+      - split: validation
+        path: data/validation.jsonl
 ---
+
+# terraform-multicloud
+
+**78,912 natural-language → Terraform (HCL) pairs**, drawn from 25,264 public
+GitHub repositories across 15 provider families. Every target is human-written
+HCL that passes `terraform validate`. Every row carries its source repository,
+licence and file path.
+
+Built by the **SASVA AI Model Cognition Labs (MCL) Team** and used to train
+[`SASVAAI/qwen38-27b-terraform`](https://huggingface.co/SASVAAI/qwen38-27b-terraform).
+
+## What one row looks like
+
+One complete row from `data/train.jsonl`, reproduced in full with nothing
+elided:
+
+```json
+{
+  "instruction": "Write a Terraform configuration for AWS that satisfies the requirement below. Emit only HCL — no explanation, no markdown fences.",
+  "input": "Create a VPC with a CIDR block specified by the `vpc_cidr` variable, enable IPv6 assignment, and ensure DNS support and DNS hostnames are both enabled; tag the VPC with the project name provided via the `project_name` variable.",
+  "output": "\n# Create a VPC to launch our instances into\nresource \"aws_vpc\" \"kubernetes\" {\n  assign_generated_ipv6_cidr_block = true\n  cidr_block                       = var.vpc_cidr\n\n  # ENPOINT fix\n  enable_dns_support   = true\n  enable_dns_hostnames = true\n\n  \n\n  tags = {\n    Name = \"${var.project_name}\"\n  }\n}",
+  "repo": "dvogt/aws-kube-sandbox",
+  "license": "Apache-2.0",
+  "file_path": "aws-kube-tf-kubernetes/modules/network/vpc.tf",
+  "provider_family": "aws",
+  "resource_types": [
+    "aws_vpc"
+  ],
+  "signature": "fa677c3c8d1c83372b1079db5d480539"
+}
+```
+
+The `output` field above is a single JSON string; rendered, it is the file
+exactly as its author committed it:
+
+```hcl
+
+# Create a VPC to launch our instances into
+resource "aws_vpc" "kubernetes" {
+  assign_generated_ipv6_cidr_block = true
+  cidr_block                       = var.vpc_cidr
+
+  # ENPOINT fix
+  enable_dns_support   = true
+  enable_dns_hostnames = true
+
+  
+
+  tags = {
+    Name = "${var.project_name}"
+  }
+}
+```
+
+| Field | Type | Meaning |
+|---|---|---|
+| `instruction` | string | The task directive. Names the provider family, forbids prose. |
+| `input` | string | Plain-language description of the infrastructure wanted. |
+| `output` | string | The target `.tf` file, verbatim as its author wrote it. |
+| `repo` | string | Source repository, `owner/name`. **Attribution.** |
+| `license` | string | That repository's SPDX licence id. |
+| `file_path` | string | Path of the file within the repository. |
+| `provider_family` | string | Build lane the row came from (one of 15, below). |
+| `resource_types` | list[string] | Terraform resource types declared in the output. |
+| `signature` | string | Order-insensitive hash of the declared resources. Dedup and contamination key. |
+
+**`output` is human-written. `instruction` and `input` are model-written** — see
+[Provenance](#provenance).
+
+## Statistics
+
+| | train | validation | total |
+|---|---|---|---|
+| Rows | 74,909 | 4,003 | **78,912** |
+| Size on disk | 241,099,954 B | 12,705,591 B | 253,805,545 B |
+| Distinct source repos | 23,806 | 1,458 | **25,264** |
+| Repo overlap | — | — | **0** |
+| Distinct resource types | 4,784 | 1,354 | 4,841 |
+| Tokens (Qwen3.8 tokenizer) | 54,233,060 | 2,847,868 | **57,080,928** |
+| Tokens: median / p90 / p99 / max | 501 / 1,486 / 3,739 / 8,490 | 504 / 1,421 / 3,466 / 7,166 | |
+| `output` chars: median / p90 / max | 1,329 / 4,806 / 27,910 | 1,346 / 4,714 / 27,724 | |
+
+### Provider families
+
+`provider_family` is the **build lane** — the extraction pass a row came from —
+not a parse of the instruction text. The two can disagree for cross-cutting
+configs (an EKS module is built in the `k8s` lane but its instruction says AWS).
+
+| Family | Train | Val | | Family | Train | Val |
+|---|---|---|---|---|---|---|
+| `aws` | 45,123 | 2,337 | | `ibm` | 710 | 45 |
+| `gcp` | 8,610 | 492 | | `yandex` | 686 | 36 |
+| `azure` | 8,546 | 468 | | `vault` | 576 | 19 |
+| `k8s` | 4,330 | 298 | | `docker` | 458 | 24 |
+| `oci` | 2,111 | 117 | | `openstack` | 362 | 19 |
+| `alicloud` | 1,274 | 46 | | `vsphere` | 283 | 17 |
+| `github` | 869 | 42 | | `cloudflare` | 210 | 8 |
+| `digitalocean` | 761 | 35 | | | | |
+
+**The corpus is AWS-heavy** — roughly 60% of rows, about 3:2 against every other
+family combined.
+
+## How it was built
+
+```
+TerraDS archive  →  extract  →  verify  →  dedup  →  back-translate  →  seal  →  split
+```
+
+1. **Extract.** Candidate module directories pulled from the TerraDS archive
+   (Zenodo [10.5281/zenodo.20339474](https://doi.org/10.5281/zenodo.20339474)),
+   filtered to a 15-licence permissive allowlist.
+2. **Verify.** `terraform init -backend=false` + `terraform validate` at the
+   **module-directory** level, against a one-version offline provider mirror.
+   Terraform resolves references across every `.tf` file in a directory, so the
+   directory is the only thing that can be validated — but a *training pair* is
+   one resource-bearing `.tf` file. Files without a `resource` block
+   (`variables.tf`, `outputs.tf`, `versions.tf`) are kept as sibling context and
+   never become pairs.
+3. **Dedup.** By `signature`, an **order-insensitive** hash over `resource` and
+   `data` blocks. HCL is declarative: the same resources in a different order are
+   the same config. Scoped to resource/data blocks only — including
+   `provider`/`terraform` scaffolding made the contamination seal nearly inert.
+4. **Back-translate.** A teacher model reads the HCL and writes the
+   plain-language description. Runs *after* dedup, so the teacher is never paid
+   for rows about to be discarded.
+5. **Seal.** Rows whose `signature` collides with an
+   [IaC-Eval](https://huggingface.co/datasets/autoiac-project/iac-eval) reference
+   configuration are removed, so a model trained here can still be scored on that
+   benchmark honestly.
+6. **Split.** Grouped by **repository**, never by row.
+
+### Split discipline
+
+The split is **repo-disjoint and verified**: 0 of 25,264 repositories appear on
+both sides. This matters more than usual here. The corpus has a high near-
+duplicate rate between repositories that copied each other's modules, so a
+row-level split would put near-identical configs on both sides and turn any eval
+loss into a recall measurement.
+
+Per-family splits were merged with a resolver rather than concatenated: 5.8% of
+repositories appear in more than one family lane, and independent per-family
+splits put 42 repositories train-side in one file and val-side in another. The
+resolver drops the train-side rows and keeps validation — never the reverse,
+because shrinking validation changes the eval set and losses are not comparable
+across eval-set sizes.
+
+## Provenance
+
+**The HCL is human-written and unaltered.** Each `output` is the source file
+exactly as its author committed it. The verification stage rewrites dead syntax
+(stale version pins, 0.11-era type constraints) only inside a throwaway work
+directory so that `terraform init` can run offline; those rewrites are discarded
+and the candidate's original text is what ships.
+
+**The instructions are model-written.** `instruction` and `input` were
+back-translated from the HCL by a teacher model — the model read the answer and
+wrote a description of it.
+
+**Teacher model.** `Qwen/Qwen3-Coder-Next`.
+
+## Licensing
+
+**This dataset is released under CC-BY-4.0**, inherited from TerraDS, its
+upstream source.
+
+**The code inside remains under its original licences.** Every row carries
+`repo`, `license` and `file_path`, and [`ATTRIBUTION.csv`](./ATTRIBUTION.csv)
+lists all 25,264 source repositories with their licence and row count, so
+attribution is possible per-row and in bulk.
+
+Source repositories were filtered to a permissive allowlist **before**
+extraction, so unlike a header-based label this is a repository-level licence:
+
+| Licence | Rows | Share |
+|---|---|---|
+| MIT | 49,211 | 62.36% |
+| Apache-2.0 | 24,750 | 31.36% |
+| UPL-1.0 | 1,222 | 1.55% |
+| Unlicense | 937 | 1.19% |
+| MIT-0 | 904 | 1.15% |
+| BSD-3-Clause | 892 | 1.13% |
+| CC0-1.0 | 472 | 0.60% |
+| BSD-2-Clause | 277 | 0.35% |
+| WTFPL | 141 | 0.18% |
+| ISC | 97 | 0.12% |
+| 0BSD | 8 | 0.01% |
+| BSD-3-Clause-Clear | 1 | 0.00% |
+
+**76,450 rows (96.9%) are under licences that require attribution and retention
+of the licence text.** If you redistribute this dataset or a derivative of it,
+carry `ATTRIBUTION.csv` with it. If you redistribute generated HCL, note that
+MIT and Apache-2.0 obligations attach to the *training material*, not
+automatically to model output — but the two are close enough here that the
+conservative reading is the safe one.
+
+Apache-2.0 §4(b) requires retention of `NOTICE` files. Those files are **not**
+carried in this dataset: the unit is a single `.tf` file, and repository-root
+`NOTICE` files were outside the extraction. `ATTRIBUTION.csv` plus `repo` is the
+route back to them.
+
+### Removal requests
+
+If your repository appears in `ATTRIBUTION.csv` and you want it removed, open a
+discussion on this dataset. Removals are applied by `repo` across both splits and
+the file is regenerated.
+
+## Intended use
+
+**Supervised fine-tuning for natural-language → Terraform generation.** The
+training rendering used for the reference model is:
+
+````text
+<|im_start|>system
+{SYSTEM}<|im_end|>
+<|im_start|>user
+{instruction}
+
+```
+{input}
+```<|im_end|>
+<|im_start|>assistant
+{output}<|im_end|>
+````
+
+The user turn's payload is **fenced**. The reference model additionally trained
+with an empty `<think></think>` block before the answer.
+
+```python
+from datasets import load_dataset
+ds = load_dataset("SASVAAI/terraform-multicloud")           # train: 74,909 · validation: 4,003
+aws = ds["train"].filter(lambda r: r["provider_family"] == "aws")
+```
+
+**Out of scope.** This is not a benchmark. The validation split is a held-out
+sample of the same distribution, scored by loss; it has no execution harness, no
+Rego policies and no pass/fail oracle. For scored evaluation use IaC-Eval, which
+this corpus is deliberately disjoint from.
+
+## Citation
+
+```bibtex
+@misc{terraform_multicloud_2026,
+  title  = {terraform-multicloud: Natural-language to Terraform pairs from permissively licensed repositories},
+  author = {{SASVA AI Model Cognition Labs (MCL) Team}},
+  year   = {2026},
+  url    = {https://huggingface.co/datasets/SASVAAI/terraform-multicloud}
+}
+
+@dataset{terrads,
+  title     = {TerraDS: A Dataset for Terraform HCL Programs},
+  year      = {2025},
+  publisher = {Zenodo},
+  doi       = {10.5281/zenodo.20339474}
+}
+
+@inproceedings{iaceval2024,
+  title     = {IaC-Eval: A Code Generation Benchmark for Infrastructure-as-Code Programs},
+  booktitle = {NeurIPS Datasets and Benchmarks},
+  year      = {2024}
+}
+```

data/train.jsonl

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data/validation.jsonl

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