GSMA/telco-retrieve-chunks

Telco-Retrieve Chunks

Pre-built retrieval indexes over chunks of the 3GPP Release 19 specifications: for each configuration a ChromaDB directory (vectors, cosine) and an SQLite FTS5 (BM25) database. They were built with the open-telco-rag pipeline (Znbne/telco-retrieve, version 0.1.0, commit fdda58395243121d52af1f74724c826cd94e66c7) from the text of GSMA/3GPP at revision a056f6018a7e8e67052aa68a702e272d0ae95d75. The fixed grid in telcoretrievechallenge/ is the set of indexes used by the TelcoRetrieve Challenge. You can skip the ingestion step and query an index directly, for example with open-telco-rag challenge export.

License, authorship and publication terms: to be decided by GSMA. See also the provenance note recorded in GRID_MANIFEST.json (quoted at the end of this card).

What is in this repo

Path	What it is	In the challenge?	Files	Size
telcoretrievechallenge/fixed-grid/<strategy>/<embedder>/	Base grid: 3 chunking strategies x 6 embedders = 18 cells, no enrichment	yes	216	170.40 GB
telcoretrievechallenge/fixed-grid/enrich/<enrichment>/<strategy>/<embedder>/	Enrichment grid: 2 enrichments x 3 strategies x 6 embedders = 36 cells	yes	432	406.08 GB
telcoretrievechallenge/fixed-grid/large/<model>/...	8B-embedder cells: 2 models x (3 + 6) = 18 cells	yes	290	445.93 GB
telcoretrievechallenge/fixed-grid/GRID_MANIFEST.json, README.md, archive_driver1/	Manifest, grid description, early driver logs	yes	5	under 1 MB
telcoretrievechallenge/README.md	Short guide to the fixed grid	yes	1	small
archive/	Earlier and experimental material, moved here unchanged	no	1668	1,047.74 GB
README.md, .gitattributes	This card; repository configuration	n/a	2	small

telcoretrievechallenge/ is the fixed grid used by the challenge. archive/ is not part of the challenge and must not be used for it.

The fixed grid

Every base cell was built with the same settings (from GRID_MANIFEST.json):

• Corpus: 3GPP Release 19 only (GSMA/3GPP, revision a056f6018a7e8e67052aa68a702e272d0ae95d75).
• Distance metric: cosine. Enrichment: none. Chunk bound: 512 tokens (bound_outliers: split).
• Chunking: hierarchical_markdown --chunk-size 2048; text_baseline --chunk-size 1024 --overlap 200; sliding_window_tokens --chunk-size 512 --overlap 50 (sizes as given to the pipeline).
• Pipeline: Znbne/telco-retrieve commit fdda58395243121d52af1f74724c826cd94e66c7 (git_dirty: false). The 8B-embedder cells under large/ record a different commit (c5f7886c549169c6891e0e664c934e6f342f3d11, git_dirty: true) and an uncommitted diff stored next to them.
• Collection names: <embedder>_<strategy>_b512_v256_full for the base grid; <embedder>_<strategy>_<enrichment>_b512_v256_full for the enrichment grid (<embedder>_<strategy>_<enrichment>_b512_v256_full).

Base cells (18):

strategy	embedder	chunks	dim	size	collection
hierarchical_markdown	minilm	1,086,324	384	7.39 GB	minilm_hierarchical_markdown_b512_v256_full
hierarchical_markdown	bge	1,086,324	1024	10.17 GB	bge_hierarchical_markdown_b512_v256_full
hierarchical_markdown	bge-m3	1,086,324	1024	10.18 GB	bge-m3_hierarchical_markdown_b512_v256_full
hierarchical_markdown	qwen3-embedding-0.6b	1,086,324	1024	10.26 GB	qwen3-embedding-0.6b_hierarchical_markdown_b512_v256_full
hierarchical_markdown	otel-0.6b	1,086,324	1024	10.20 GB	otel-0.6b_hierarchical_markdown_b512_v256_full
hierarchical_markdown	embeddinggemma-300m-fp32	1,086,324	768	9.17 GB	embeddinggemma-300m-fp32_hierarchical_markdown_b512_v256_full
text_baseline	minilm	1,072,821	384	7.15 GB	minilm_text_baseline_b512_v256_full
text_baseline	bge	1,072,821	1024	9.86 GB	bge_text_baseline_b512_v256_full
text_baseline	bge-m3	1,072,821	1024	9.88 GB	bge-m3_text_baseline_b512_v256_full
text_baseline	qwen3-embedding-0.6b	1,072,821	1024	9.96 GB	qwen3-embedding-0.6b_text_baseline_b512_v256_full
text_baseline	otel-0.6b	1,072,821	1024	9.90 GB	otel-0.6b_text_baseline_b512_v256_full
text_baseline	embeddinggemma-300m-fp32	1,072,821	768	8.89 GB	embeddinggemma-300m-fp32_text_baseline_b512_v256_full
sliding_window_tokens	minilm	1,094,155	384	7.40 GB	minilm_sliding_window_tokens_b512_v256_full
sliding_window_tokens	bge	1,094,155	1024	10.16 GB	bge_sliding_window_tokens_b512_v256_full
sliding_window_tokens	bge-m3	1,094,155	1024	10.18 GB	bge-m3_sliding_window_tokens_b512_v256_full
sliding_window_tokens	qwen3-embedding-0.6b	1,094,155	1024	10.26 GB	qwen3-embedding-0.6b_sliding_window_tokens_b512_v256_full
sliding_window_tokens	otel-0.6b	1,094,155	1024	10.20 GB	otel-0.6b_sliding_window_tokens_b512_v256_full
sliding_window_tokens	embeddinggemma-300m-fp32	1,094,155	768	9.18 GB	embeddinggemma-300m-fp32_sliding_window_tokens_b512_v256_full

Enrichment grid: metadata_tagging and acronym_expansion, applied after the bound step, so enriched chunks can exceed the token bounds (see enrichment_note in GRID_MANIFEST.json). Large cells: Qwen/Qwen3-Embedding-8B (qwen3-embedding-8b-local, 4096 dimensions) and nvidia/Nemotron-3-Embed-8B-BF16 (nemotron-3-embed-8b-local, 4096 dimensions), embedded locally.

Default embedder of challenge export. The default profile of open-telco-rag challenge export uses --model otel-0.6b (registry: farbodtavakkoli/OTel-Embedding-0.6B, 1024 dimensions). This matches the manifest: the otel-0.6b cells have vector_dim 1024. The default cell to start with is telcoretrievechallenge/fixed-grid/text_baseline/otel-0.6b.

How to use it

Download one cell (not the whole repo):

hf download GSMA/telco-retrieve-chunks --repo-type dataset \
  --include "telcoretrievechallenge/fixed-grid/text_baseline/otel-0.6b/*" --local-dir ./runs

Then export a submission:

open-telco-rag challenge export --questions Test.csv --out submission.csv \
  --db-path ./runs/telcoretrievechallenge/fixed-grid/text_baseline/otel-0.6b/db \
  --collection otel-0.6b_text_baseline_b512_v256_full \
  --generator-model <served-model-name> --llm-base-url http://localhost:8000/v1

--collection is required and has no default in the CLI. The name above is the one used in the CLI's own help example and it is in GRID_MANIFEST.json. These commands were checked against hf download --help and open-telco-rag challenge export --help (from the source of challenge-telco-retrieve at commit 51c7211). They were not run end to end.

Archive

archive/ holds earlier and experimental material: the 120 root folders this repo had before (120 folders 3gpp-r19_<embedder>_<chunking>_<enrichment>_<params>/), the previous README and a copy of the previous .gitattributes. It is kept for reference. It is a different set from the fixed grid, it is not part of the challenge and it is not maintained. See archive/ARCHIVE_NOTE.md; the path rule is <old path> to archive/<old path>.

Integrity and provenance

• telcoretrievechallenge/fixed-grid/GRID_MANIFEST.json records, for each of the 54 base and enrichment cells, every file with its size and sha256. The 18 large/ cells are described in the manifest (collection, chunks, bytes) but their files are not listed individually.
• Check a downloaded cell against the manifest (run next to ./runs; it skips files you did not download):

import hashlib, json, pathlib
r = pathlib.Path("runs/telcoretrievechallenge")
m = json.load(open(r / "fixed-grid/GRID_MANIFEST.json"))   # also download this file
cells = m["cells"] + m["enrichment_grid"]["cells"]
for c in cells:
    for rel, v in c["files"].items():
        p = r / c["path_in_repo"] / rel
        if p.exists():
            print(c["path_in_repo"], rel, hashlib.file_digest(open(p, "rb"), "sha256").hexdigest() == v["sha256"])

• Build commit: fdda58395243121d52af1f74724c826cd94e66c7 in Znbne/telco-retrieve. Code and documentation: https://github.com/Znbne/telco-retrieve
• Provenance note from GRID_MANIFEST.json (licence_note): "Provenance and terms: the source documents are 3GPP specifications and remain the property of 3GPP and its Organizational Partners (see https://www.3gpp.org). The text in these collections is chunked from the GSMA/3GPP dataset (https://huggingface.co/datasets/GSMA/3GPP, revision a056f6018a7e8e67052aa68a702e272d0ae95d75), which describes itself as mirroring the documents for research, search and retrieval. The collections contain verbatim chunk text. Use them subject to the original 3GPP terms; this repository grants no additional rights."